From 633ca409a2e9084b4640b05baf16552439ff7b85 Mon Sep 17 00:00:00 2001
From: unknown <kohjx1993@gmail.com>
Date: Sun, 9 Feb 2020 01:07:54 +0800
Subject: [PATCH] Added PR-ROC curves and fixed bugs

---
 ...ized input feature list and response.ipynb | 5476 +++++-----
 ... stratified crossvalidation pipeline.ipynb | 8885 ++++++++++-------
 2 files changed, 8030 insertions(+), 6331 deletions(-)

diff --git a/SCI16. Forward Elimination and Modified Pipeline with parameterized input feature list and response.ipynb b/SCI16. Forward Elimination and Modified Pipeline with parameterized input feature list and response.ipynb
index 122640b..ad790b9 100644
--- a/SCI16. Forward Elimination and Modified Pipeline with parameterized input feature list and response.ipynb	
+++ b/SCI16. Forward Elimination and Modified Pipeline with parameterized input feature list and response.ipynb	
@@ -51,123 +51,123 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <td>220821</td>\n",
-       "      <td>142313.0</td>\n",
-       "      <td>2.228370</td>\n",
-       "      <td>-1.480047</td>\n",
-       "      <td>-1.875627</td>\n",
-       "      <td>-1.777910</td>\n",
-       "      <td>-0.549483</td>\n",
-       "      <td>-0.428852</td>\n",
-       "      <td>-0.635462</td>\n",
-       "      <td>-0.225445</td>\n",
-       "      <td>-1.665705</td>\n",
+       "      <td>254969</td>\n",
+       "      <td>157003.0</td>\n",
+       "      <td>0.121685</td>\n",
+       "      <td>0.990536</td>\n",
+       "      <td>-0.449069</td>\n",
+       "      <td>-0.555860</td>\n",
+       "      <td>1.004292</td>\n",
+       "      <td>-0.798871</td>\n",
+       "      <td>0.955062</td>\n",
+       "      <td>-0.105045</td>\n",
+       "      <td>-0.048104</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.287575</td>\n",
-       "      <td>-0.532184</td>\n",
-       "      <td>0.042820</td>\n",
-       "      <td>-1.136561</td>\n",
-       "      <td>-0.002225</td>\n",
-       "      <td>-0.195530</td>\n",
-       "      <td>-0.039929</td>\n",
-       "      <td>-0.070095</td>\n",
-       "      <td>84.99</td>\n",
+       "      <td>-0.343563</td>\n",
+       "      <td>-0.852037</td>\n",
+       "      <td>0.093501</td>\n",
+       "      <td>0.474447</td>\n",
+       "      <td>-0.401226</td>\n",
+       "      <td>0.118758</td>\n",
+       "      <td>0.220506</td>\n",
+       "      <td>0.084387</td>\n",
+       "      <td>4.99</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>174274</td>\n",
-       "      <td>121846.0</td>\n",
-       "      <td>1.935030</td>\n",
-       "      <td>0.573142</td>\n",
-       "      <td>-0.904663</td>\n",
-       "      <td>3.502975</td>\n",
-       "      <td>0.898790</td>\n",
-       "      <td>0.647228</td>\n",
-       "      <td>0.111386</td>\n",
-       "      <td>0.051637</td>\n",
-       "      <td>-1.256962</td>\n",
+       "      <td>120088</td>\n",
+       "      <td>75706.0</td>\n",
+       "      <td>-0.644431</td>\n",
+       "      <td>0.616995</td>\n",
+       "      <td>-0.034061</td>\n",
+       "      <td>-1.542783</td>\n",
+       "      <td>2.884229</td>\n",
+       "      <td>3.102120</td>\n",
+       "      <td>0.222305</td>\n",
+       "      <td>0.897864</td>\n",
+       "      <td>-0.643099</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.167848</td>\n",
-       "      <td>0.550296</td>\n",
-       "      <td>0.057251</td>\n",
-       "      <td>0.359922</td>\n",
-       "      <td>0.173700</td>\n",
-       "      <td>0.063507</td>\n",
-       "      <td>-0.038921</td>\n",
-       "      <td>-0.056773</td>\n",
-       "      <td>0.00</td>\n",
+       "      <td>-0.239270</td>\n",
+       "      <td>-1.000861</td>\n",
+       "      <td>-0.075247</td>\n",
+       "      <td>0.932284</td>\n",
+       "      <td>-0.001419</td>\n",
+       "      <td>-0.044064</td>\n",
+       "      <td>0.037365</td>\n",
+       "      <td>0.113453</td>\n",
+       "      <td>9.21</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>136833</td>\n",
-       "      <td>81892.0</td>\n",
-       "      <td>-0.957640</td>\n",
-       "      <td>0.866259</td>\n",
-       "      <td>1.690685</td>\n",
-       "      <td>-0.242409</td>\n",
-       "      <td>0.069591</td>\n",
-       "      <td>-0.387829</td>\n",
-       "      <td>0.454028</td>\n",
-       "      <td>-0.153593</td>\n",
-       "      <td>-0.488368</td>\n",
+       "      <td>69784</td>\n",
+       "      <td>53581.0</td>\n",
+       "      <td>1.083448</td>\n",
+       "      <td>0.237004</td>\n",
+       "      <td>0.547034</td>\n",
+       "      <td>1.007855</td>\n",
+       "      <td>-0.168149</td>\n",
+       "      <td>-0.187504</td>\n",
+       "      <td>0.038606</td>\n",
+       "      <td>0.017704</td>\n",
+       "      <td>-0.383930</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.009150</td>\n",
-       "      <td>0.030008</td>\n",
-       "      <td>-0.133822</td>\n",
-       "      <td>0.176217</td>\n",
-       "      <td>-0.040002</td>\n",
-       "      <td>1.135290</td>\n",
-       "      <td>-0.375523</td>\n",
-       "      <td>0.062362</td>\n",
-       "      <td>3.84</td>\n",
+       "      <td>0.066481</td>\n",
+       "      <td>0.209556</td>\n",
+       "      <td>-0.012882</td>\n",
+       "      <td>0.235400</td>\n",
+       "      <td>0.437695</td>\n",
+       "      <td>-0.445046</td>\n",
+       "      <td>0.037423</td>\n",
+       "      <td>0.020770</td>\n",
+       "      <td>29.94</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>170388</td>\n",
-       "      <td>120156.0</td>\n",
-       "      <td>0.935988</td>\n",
-       "      <td>-1.471801</td>\n",
-       "      <td>-3.120871</td>\n",
-       "      <td>0.725920</td>\n",
-       "      <td>1.108254</td>\n",
-       "      <td>1.298939</td>\n",
-       "      <td>0.600813</td>\n",
-       "      <td>0.226943</td>\n",
-       "      <td>0.532865</td>\n",
+       "      <td>127236</td>\n",
+       "      <td>78257.0</td>\n",
+       "      <td>-1.005030</td>\n",
+       "      <td>1.085609</td>\n",
+       "      <td>-0.287963</td>\n",
+       "      <td>-1.313881</td>\n",
+       "      <td>2.402693</td>\n",
+       "      <td>3.304870</td>\n",
+       "      <td>0.078386</td>\n",
+       "      <td>0.918765</td>\n",
+       "      <td>-0.063993</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.211974</td>\n",
-       "      <td>-0.184652</td>\n",
-       "      <td>-0.357264</td>\n",
-       "      <td>-1.091420</td>\n",
-       "      <td>-0.127987</td>\n",
-       "      <td>-0.266858</td>\n",
-       "      <td>-0.035785</td>\n",
-       "      <td>0.060734</td>\n",
-       "      <td>510.36</td>\n",
+       "      <td>-0.341013</td>\n",
+       "      <td>-0.936019</td>\n",
+       "      <td>0.057978</td>\n",
+       "      <td>0.973877</td>\n",
+       "      <td>0.079936</td>\n",
+       "      <td>0.087449</td>\n",
+       "      <td>0.357701</td>\n",
+       "      <td>0.234344</td>\n",
+       "      <td>0.89</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>264233</td>\n",
-       "      <td>161327.0</td>\n",
-       "      <td>-0.252903</td>\n",
-       "      <td>1.086682</td>\n",
-       "      <td>-0.394310</td>\n",
-       "      <td>-0.717875</td>\n",
-       "      <td>0.440427</td>\n",
-       "      <td>-0.730572</td>\n",
-       "      <td>0.677892</td>\n",
-       "      <td>0.258984</td>\n",
-       "      <td>-0.180641</td>\n",
+       "      <td>163403</td>\n",
+       "      <td>115907.0</td>\n",
+       "      <td>1.940847</td>\n",
+       "      <td>-0.863129</td>\n",
+       "      <td>-0.308239</td>\n",
+       "      <td>0.667133</td>\n",
+       "      <td>-1.108577</td>\n",
+       "      <td>-0.229832</td>\n",
+       "      <td>-0.905282</td>\n",
+       "      <td>0.054437</td>\n",
+       "      <td>-0.286118</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.261435</td>\n",
-       "      <td>-0.712290</td>\n",
-       "      <td>0.052698</td>\n",
-       "      <td>-0.721858</td>\n",
-       "      <td>-0.357179</td>\n",
-       "      <td>0.186786</td>\n",
-       "      <td>0.118245</td>\n",
-       "      <td>0.028695</td>\n",
-       "      <td>12.98</td>\n",
+       "      <td>0.062379</td>\n",
+       "      <td>0.724249</td>\n",
+       "      <td>0.060358</td>\n",
+       "      <td>0.039766</td>\n",
+       "      <td>-0.054572</td>\n",
+       "      <td>-0.402665</td>\n",
+       "      <td>0.062921</td>\n",
+       "      <td>-0.034682</td>\n",
+       "      <td>50.00</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -177,25 +177,25 @@
       ],
       "text/plain": [
        "            Time        V1        V2        V3        V4        V5        V6  \\\n",
-       "220821  142313.0  2.228370 -1.480047 -1.875627 -1.777910 -0.549483 -0.428852   \n",
-       "174274  121846.0  1.935030  0.573142 -0.904663  3.502975  0.898790  0.647228   \n",
-       "136833   81892.0 -0.957640  0.866259  1.690685 -0.242409  0.069591 -0.387829   \n",
-       "170388  120156.0  0.935988 -1.471801 -3.120871  0.725920  1.108254  1.298939   \n",
-       "264233  161327.0 -0.252903  1.086682 -0.394310 -0.717875  0.440427 -0.730572   \n",
+       "254969  157003.0  0.121685  0.990536 -0.449069 -0.555860  1.004292 -0.798871   \n",
+       "120088   75706.0 -0.644431  0.616995 -0.034061 -1.542783  2.884229  3.102120   \n",
+       "69784    53581.0  1.083448  0.237004  0.547034  1.007855 -0.168149 -0.187504   \n",
+       "127236   78257.0 -1.005030  1.085609 -0.287963 -1.313881  2.402693  3.304870   \n",
+       "163403  115907.0  1.940847 -0.863129 -0.308239  0.667133 -1.108577 -0.229832   \n",
        "\n",
        "              V7        V8        V9  ...       V21       V22       V23  \\\n",
-       "220821 -0.635462 -0.225445 -1.665705  ... -0.287575 -0.532184  0.042820   \n",
-       "174274  0.111386  0.051637 -1.256962  ...  0.167848  0.550296  0.057251   \n",
-       "136833  0.454028 -0.153593 -0.488368  ...  0.009150  0.030008 -0.133822   \n",
-       "170388  0.600813  0.226943  0.532865  ...  0.211974 -0.184652 -0.357264   \n",
-       "264233  0.677892  0.258984 -0.180641  ... -0.261435 -0.712290  0.052698   \n",
+       "254969  0.955062 -0.105045 -0.048104  ... -0.343563 -0.852037  0.093501   \n",
+       "120088  0.222305  0.897864 -0.643099  ... -0.239270 -1.000861 -0.075247   \n",
+       "69784   0.038606  0.017704 -0.383930  ...  0.066481  0.209556 -0.012882   \n",
+       "127236  0.078386  0.918765 -0.063993  ... -0.341013 -0.936019  0.057978   \n",
+       "163403 -0.905282  0.054437 -0.286118  ...  0.062379  0.724249  0.060358   \n",
        "\n",
        "             V24       V25       V26       V27       V28  Amount  Class  \n",
-       "220821 -1.136561 -0.002225 -0.195530 -0.039929 -0.070095   84.99      0  \n",
-       "174274  0.359922  0.173700  0.063507 -0.038921 -0.056773    0.00      0  \n",
-       "136833  0.176217 -0.040002  1.135290 -0.375523  0.062362    3.84      0  \n",
-       "170388 -1.091420 -0.127987 -0.266858 -0.035785  0.060734  510.36      0  \n",
-       "264233 -0.721858 -0.357179  0.186786  0.118245  0.028695   12.98      0  \n",
+       "254969  0.474447 -0.401226  0.118758  0.220506  0.084387    4.99      0  \n",
+       "120088  0.932284 -0.001419 -0.044064  0.037365  0.113453    9.21      0  \n",
+       "69784   0.235400  0.437695 -0.445046  0.037423  0.020770   29.94      0  \n",
+       "127236  0.973877  0.079936  0.087449  0.357701  0.234344    0.89      0  \n",
+       "163403  0.039766 -0.054572 -0.402665  0.062921 -0.034682   50.00      0  \n",
        "\n",
        "[5 rows x 31 columns]"
       ]
@@ -230,7 +230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -252,14 +252,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# importing packages\n",
+    "import math\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import scipy.stats as stats\n",
+    "import sklearn\n",
+    "import imblearn\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "plt.style.use('ggplot')\n",
+    "\n",
     "from imblearn.over_sampling import RandomOverSampler\n",
     "from sklearn.model_selection import train_test_split\n",
     "from sklearn.linear_model import LogisticRegression\n",
     "from sklearn.ensemble import RandomForestClassifier\n",
+    "from sklearn.svm import LinearSVC\n",
     "import xgboost as xgb \n",
     "from sklearn import metrics\n",
     "from imblearn.over_sampling import SMOTE\n",
@@ -270,22 +282,31 @@
     "from sklearn.ensemble import GradientBoostingClassifier\n",
     "from sklearn.model_selection import KFold\n",
     "from sklearn.model_selection import cross_val_score\n",
+    "from sklearn.utils import shuffle\n",
+    "from sklearn.preprocessing import MinMaxScaler\n",
+    "from sklearn.calibration import CalibratedClassifierCV\n",
+    "from collections import Counter\n",
     "\n",
     "class modelpipeline:\n",
     "    def __init__(self):\n",
     "        pass\n",
     "    \n",
     "    def run_model(self, df, varlist, response, testratio, standardize, sampletype, modelname, text, CV):\n",
-    "        varlist.append(response)\n",
+    "        # Align field orders in df (including response)\n",
     "        df = df[varlist]\n",
-    "        if standardize == True:\n",
-    "            df = self.standardize(df)\n",
+    "\n",
     "        if sampletype == 'smote':\n",
     "            X_train, X_test, y_train, y_test = sampling.smote_oversample(df, testratio, response)\n",
     "        elif sampletype == 'adasyn':\n",
     "            X_train, X_test, y_train, y_test = sampling.adasyn_oversample(df, testratio, response)\n",
     "        else:\n",
     "            X_train, X_test, y_train, y_test = sampling.naive_oversample(df, testratio, response)\n",
+    "            \n",
+    "        if standardize == True:\n",
+    "            scaling = MinMaxScaler(feature_range=(-1,1)).fit(X_train)\n",
+    "            X_train = scaling.transform(X_train)\n",
+    "            X_test = scaling.transform(X_test)\n",
+    "            \n",
     "        store = self.build_model(X_train, X_test, y_train, y_test, text, modelname, CV)\n",
     "        # test model with all actual fraud results\n",
     "        store['actual_accuracy'] = evaluate.actual_acc(df, store['model'], response)\n",
@@ -355,7 +376,8 @@
     "            model.fit(X_train,y_train)\n",
     "        \n",
     "        y_predict = model.predict(X_test)\n",
-    "        results = evaluate.model_results(y_test, y_predict, text)\n",
+    "        y_predictprob = model.predict_proba(X_test)[:, 1]\n",
+    "        results = evaluate.model_results(y_test, y_predict, y_predictprob, text)\n",
     "        store = {\"model\": model, \"X_train\": X_train, \"X_test\": X_test, \"y_train\": y_train, \n",
     "                 \"y_test\": y_test, \"results\": results}\n",
     "        print(\"Model fitting and results are complete!\")\n",
@@ -423,7 +445,7 @@
     "        pass\n",
     "    \n",
     "    @staticmethod\n",
-    "    def model_results(y_test, y_predict, text):\n",
+    "    def model_results(y_test, y_predict, y_predictprob, text):\n",
     "        cm = metrics.confusion_matrix(y_test, y_predict)\n",
     "        print(cm)\n",
     "        RFC_CM = pd.DataFrame(cm, ['Actual 0', 'Actual 1'], ['Predict 0', 'Predict 1'])\n",
@@ -449,26 +471,44 @@
     "        print('Precision: ' + str(precision))\n",
     "        f1 = 2 * (recall * precision)/(recall + precision)\n",
     "        print('f1 score: ' + str(f1))\n",
-    "        auc = evaluate.ROC(y_test, y_predict, text)\n",
+    "        auc, pr_auc = evaluate.ROC(y_test, y_predictprob, text)\n",
     "        results = {\"accuracy\": accuracy, \"sensitivity\": sensitivity, \"specificity\": specificity, \n",
-    "                   \"precision\": precision, \"f1\": f1, \"auc\": auc}\n",
+    "                   \"precision\": precision, \"f1\": f1, \"auc\": auc, \"pr_auc\": pr_auc}\n",
     "        print(\"Model classification metrics have finished calculating!\")\n",
+    "        print(results)\n",
     "        return results\n",
     "    \n",
     "    @staticmethod\n",
-    "    def ROC(y_test, y_predict, text):\n",
+    "    def ROC(y_test, y_predictprob, text):\n",
     "        # IMPORTANT: first argument is true values, second argument is predicted probabilities\n",
-    "        auc = metrics.roc_auc_score(y_test, y_predict)\n",
+    "        auc = metrics.roc_auc_score(y_test, y_predictprob)\n",
+    "        # print(\"AUC value is: \" + str(auc))\n",
     "        print(\"AUC value is: \" + str(auc))\n",
-    "        fpr, tpr, thresholds = metrics.roc_curve(y_test, y_predict)\n",
-    "        plt.plot(fpr, tpr)\n",
-    "        plt.xlim([0.0, 1.0])\n",
-    "        plt.ylim([0.0, 1.0])\n",
-    "        plt.title('ROC curve for ' + text)\n",
-    "        plt.xlabel('False Positive Rate (1 - Specificity)')\n",
-    "        plt.ylabel('True Positive Rate (Sensitivity)')\n",
-    "        plt.grid(True)\n",
-    "        return auc\n",
+    "        fpr, tpr, thresholds = metrics.roc_curve(y_test, y_predictprob)\n",
+    "        # print(\"AUC value is also: \" + str(metrics.auc(fpr, tpr)))\n",
+    "        # Calculate precision and recall for each threshold\n",
+    "        precision, recall, _ = metrics.precision_recall_curve(y_test, y_predictprob)\n",
+    "        pr_auc = metrics.auc(recall, precision)\n",
+    "        fullgraph = plt.figure(1,figsize=(10,20))\n",
+    "        plt.style.use('ggplot')\n",
+    "\n",
+    "        ROCAUC_plot = fullgraph.add_subplot(211)\n",
+    "        ROCAUC_plot.plot(fpr, tpr, color='blue')\n",
+    "        ROCAUC_plot.set_title('ROC curve for ' + text)\n",
+    "        ROCAUC_plot.set_xlabel('False Positive Rate (1 - Specificity)')\n",
+    "        ROCAUC_plot.set_ylabel('True Positive Rate (Sensitivity)')\n",
+    "        ROCAUC_plot.set_xlim([0.0, 1.0])\n",
+    "        ROCAUC_plot.set_ylim([0.0, 1.0])\n",
+    "        ROCAUC_plot.grid(True)\n",
+    "        PRAUC_plot = fullgraph.add_subplot(212)\n",
+    "        PRAUC_plot.plot(precision, recall, color='purple')\n",
+    "        PRAUC_plot.set_title('Precision-Recall curve for ' + text)\n",
+    "        PRAUC_plot.set_xlabel('Recall')\n",
+    "        PRAUC_plot.set_ylabel('Precision')\n",
+    "        PRAUC_plot.set_xlim([0.0, 1.0])\n",
+    "        PRAUC_plot.set_ylim([0.0, 1.0])\n",
+    "        PRAUC_plot.grid(True)\n",
+    "        return auc, pr_auc\n",
     "\n",
     "    @staticmethod\n",
     "    def actual_acc(df, model, response):\n",
@@ -493,7 +533,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -509,7 +549,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -517,7 +557,7 @@
      "output_type": "stream",
      "text": [
       "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227451), (1, 227451)]\n",
+      "[(0, 227447), (1, 227447)]\n",
       "Oversampling is complete!\n"
      ]
     }
@@ -528,16 +568,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "227451"
+       "227447"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -548,16 +588,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "98"
+       "94"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -568,26 +608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount']\n"
-     ]
-    }
-   ],
-   "source": [
-    "colnames = list(df.columns.values)\n",
-    "colnames.remove('Class')\n",
-    "print(colnames)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -603,7 +624,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -650,16 +671,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(454902, 29)"
+       "(454894, 29)"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -670,28 +691,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([[ 1.95504092e+00, -3.80782711e-01, -3.15012853e-01, ...,\n",
-       "         4.51682478e-02, -4.71447917e-02,  9.99000000e+00],\n",
-       "       [-4.00975239e-01, -6.26942769e-01,  1.55533881e+00, ...,\n",
-       "        -3.70468822e-01, -1.44791686e-01,  4.59000000e+01],\n",
-       "       [ 7.25090164e-02,  8.20565650e-01, -5.61350916e-01, ...,\n",
-       "         2.06394866e-01,  7.02877702e-02,  1.19900000e+01],\n",
+       "array([[-3.60900513e-01,  1.28452281e+00, -1.01771767e+00, ...,\n",
+       "        -1.32423897e-01,  1.06391985e-01,  9.95000000e+00],\n",
+       "       [-5.41761567e-01,  1.18792390e+00,  9.43541216e-01, ...,\n",
+       "         3.44136513e-01,  1.51161024e-01,  8.90000000e-01],\n",
+       "       [-2.58931571e-01,  4.35045463e-01,  1.48869152e+00, ...,\n",
+       "        -1.52822890e-01, -9.01466370e-02,  6.90000000e+00],\n",
        "       ...,\n",
-       "       [-1.46122738e+00, -6.84733284e-01,  7.78663606e-01, ...,\n",
-       "        -9.51184036e-02,  4.24592502e-02,  3.56509132e+02],\n",
-       "       [-1.18327079e+00, -8.26128280e-02,  1.89729819e+00, ...,\n",
-       "         5.95769488e-02, -3.16624987e-01,  4.44247638e+01],\n",
-       "       [-4.66966201e+00,  9.11443019e-01, -5.35063863e+00, ...,\n",
-       "         7.23760311e-01, -7.81816552e-01,  4.18268030e+01]])"
+       "       [-1.08943916e+00,  1.44952753e+00, -1.61685654e+00, ...,\n",
+       "         4.99160527e-01,  2.89658112e-01,  7.74400674e+01],\n",
+       "       [-1.75122393e+01,  1.01499441e+01, -2.42394972e+01, ...,\n",
+       "         2.09205512e+00, -1.42571245e+00,  1.00000000e+00],\n",
+       "       [-4.16356602e+00,  2.66418080e+00, -3.37813493e+00, ...,\n",
+       "        -1.10787844e+00, -1.07434974e-01,  2.45035838e+02]])"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -702,16 +723,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(454902, 29)"
+       "(454894, 29)"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -722,40 +743,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([[ 0.00000000e+00,  1.95504092e+00, -3.80782711e-01, ...,\n",
-       "         4.51682478e-02, -4.71447917e-02,  9.99000000e+00],\n",
-       "       [ 0.00000000e+00, -4.00975239e-01, -6.26942769e-01, ...,\n",
-       "        -3.70468822e-01, -1.44791686e-01,  4.59000000e+01],\n",
-       "       [ 0.00000000e+00,  7.25090164e-02,  8.20565650e-01, ...,\n",
-       "         2.06394866e-01,  7.02877702e-02,  1.19900000e+01],\n",
+       "array([[ 0.00000000e+00, -3.60900513e-01,  1.28452281e+00, ...,\n",
+       "        -1.32423897e-01,  1.06391985e-01,  9.95000000e+00],\n",
+       "       [ 0.00000000e+00, -5.41761567e-01,  1.18792390e+00, ...,\n",
+       "         3.44136513e-01,  1.51161024e-01,  8.90000000e-01],\n",
+       "       [ 0.00000000e+00, -2.58931571e-01,  4.35045463e-01, ...,\n",
+       "        -1.52822890e-01, -9.01466370e-02,  6.90000000e+00],\n",
        "       ...,\n",
-       "       [ 0.00000000e+00, -1.46122738e+00, -6.84733284e-01, ...,\n",
-       "        -9.51184036e-02,  4.24592502e-02,  3.56509132e+02],\n",
-       "       [ 0.00000000e+00, -1.18327079e+00, -8.26128280e-02, ...,\n",
-       "         5.95769488e-02, -3.16624987e-01,  4.44247638e+01],\n",
-       "       [ 0.00000000e+00, -4.66966201e+00,  9.11443019e-01, ...,\n",
-       "         7.23760311e-01, -7.81816552e-01,  4.18268030e+01]])"
+       "       [ 0.00000000e+00, -1.08943916e+00,  1.44952753e+00, ...,\n",
+       "         4.99160527e-01,  2.89658112e-01,  7.74400674e+01],\n",
+       "       [ 0.00000000e+00, -1.75122393e+01,  1.01499441e+01, ...,\n",
+       "         2.09205512e+00, -1.42571245e+00,  1.00000000e+00],\n",
+       "       [ 0.00000000e+00, -4.16356602e+00,  2.66418080e+00, ...,\n",
+       "        -1.10787844e+00, -1.07434974e-01,  2.45035838e+02]])"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "full_x = np.empty((454902,1))\n",
+    "full_x = np.empty((454894,1))\n",
     "np.concatenate((full_x, X_train), axis=1)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -779,7 +800,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -788,7 +809,7 @@
        "False"
       ]
      },
-     "execution_count": 103,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -799,7 +820,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -808,7 +829,7 @@
        "False"
       ]
      },
-     "execution_count": 107,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -843,7 +864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 20,
    "metadata": {
     "scrolled": true
    },
@@ -853,963 +874,946 @@
      "output_type": "stream",
      "text": [
       "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount']\n",
-      "False\n",
       "i is 0\n",
       "j is 0\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
       "()\n",
       "False\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.575323\n",
+      "         Current function value: 0.564092\n",
       "         Iterations 7\n",
       "First model trained using feature number 0 with p value of 0\n",
       "Full X:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "i is 1\n",
       "j is 1\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.511706\n",
+      "         Current function value: 0.510754\n",
       "         Iterations 7\n",
       "Features all have p value of 0, using feature number 1\n",
       "i is 2\n",
       "j is 2\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 2)\n",
+      "(454894, 2)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.449435\n",
+      "         Current function value: 0.448630\n",
       "         Iterations 8\n",
       "Features all have p value of 0, using feature number 2\n",
       "i is 3\n",
       "j is 3\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 3)\n",
+      "(454894, 3)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.421701\n",
+      "         Current function value: 0.422452\n",
       "         Iterations 8\n",
       "Features all have p value of 0, using feature number 3\n",
       "i is 4\n",
       "j is 4\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 4)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.420453\n",
-      "         Iterations 9\n",
-      "i is 4\n",
-      "j is 5\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 4)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.420351\n",
-      "         Iterations 8\n",
-      "i is 4\n",
-      "j is 6\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 4)\n",
+      "(454894, 4)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.415400\n",
+      "         Current function value: 0.420759\n",
       "         Iterations 9\n",
-      "Features all have p value of 0, using feature number 6\n",
+      "Features all have p value of 0, using feature number 4\n",
       "i is 5\n",
-      "j is 4\n",
+      "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 5)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.414459\n",
+      "         Current function value: 0.419426\n",
       "         Iterations 9\n",
       "i is 5\n",
-      "j is 5\n",
+      "j is 6\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 5)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.414210\n",
+      "         Current function value: 0.415607\n",
       "         Iterations 9\n",
       "i is 5\n",
       "j is 7\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 5)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.415362\n",
+      "         Current function value: 0.420709\n",
       "         Iterations 9\n",
       "i is 5\n",
       "j is 8\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 5)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.412636\n",
-      "         Iterations 9\n",
-      "Features all have p value of 0, using feature number 8\n",
-      "i is 6\n",
-      "j is 4\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 6)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.411805\n",
-      "         Iterations 9\n",
-      "i is 6\n",
-      "j is 5\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 6)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.411662\n",
-      "         Iterations 9\n",
-      "i is 6\n",
-      "j is 7\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412498\n",
+      "         Current function value: 0.418189\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 9\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.400688\n",
+      "         Current function value: 0.404809\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 10\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.405340\n",
+      "         Current function value: 0.408897\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 11\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.398916\n",
+      "         Current function value: 0.403220\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412530\n",
+      "         Current function value: 0.420265\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 13\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.388913\n",
+      "         Current function value: 0.391059\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412636\n",
+      "         Current function value: 0.420753\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 15\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408969\n",
+      "         Current function value: 0.414738\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 16\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409203\n",
+      "         Current function value: 0.416288\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 17\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412250\n",
+      "         Current function value: 0.420174\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412590\n",
+      "         Current function value: 0.420758\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 19\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412578\n",
+      "         Current function value: 0.420743\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 20\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412013\n",
+      "         Current function value: 0.420062\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 21\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412627\n",
+      "         Current function value: 0.420759\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 22\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412562\n",
+      "         Current function value: 0.420094\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412503\n",
+      "         Current function value: 0.420617\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 24\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412423\n",
+      "         Current function value: 0.420570\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412547\n",
+      "         Current function value: 0.420715\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 26\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412395\n",
+      "         Current function value: 0.419883\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412474\n",
+      "         Current function value: 0.420260\n",
       "         Iterations 9\n",
-      "i is 6\n",
+      "i is 5\n",
       "j is 28\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 6)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.376845\n",
-      "         Iterations 9\n",
-      "Getting new model with min p-values with 6 variables.\n",
-      "New model trained using feature number 15 with lowest p values of 6.205335420577937e-262\n",
-      "i is 7\n",
-      "j is 4\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408761\n",
-      "         Iterations 9\n",
-      "i is 7\n",
+      "         Current function value: 0.364210\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 28\n",
+      "i is 6\n",
       "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408033\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 7\n",
+      "         Current function value: 0.363716\n",
+      "         Iterations 10\n",
+      "i is 6\n",
+      "j is 6\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408769\n",
-      "         Iterations 9\n",
+      "         Current function value: 0.357805\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 6\n",
       "i is 7\n",
-      "j is 9\n",
+      "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.399202\n",
+      "         Current function value: 0.356400\n",
       "         Iterations 10\n",
       "i is 7\n",
-      "j is 10\n",
+      "j is 7\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.402730\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 11\n",
+      "         Current function value: 0.353298\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 7\n",
+      "i is 8\n",
+      "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 8)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.397522\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 12\n",
+      "         Current function value: 0.351768\n",
+      "         Iterations 10\n",
+      "i is 8\n",
+      "j is 8\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 8)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408835\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 13\n",
+      "         Current function value: 0.348619\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 8\n",
+      "i is 9\n",
+      "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 9)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.387514\n",
+      "         Current function value: 0.346589\n",
       "         Iterations 10\n",
-      "i is 7\n",
-      "j is 14\n",
+      "Features all have p value of 0, using feature number 5\n",
+      "i is 10\n",
+      "j is 9\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 10)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408958\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 16\n",
+      "         Current function value: 0.286862\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 9\n",
+      "i is 11\n",
+      "j is 10\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 11)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.407749\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 17\n",
+      "         Current function value: 0.279469\n",
+      "         Iterations 11\n",
+      "Features all have p value of 0, using feature number 10\n",
+      "i is 12\n",
+      "j is 11\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 12)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408958\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 18\n",
+      "         Current function value: 0.263986\n",
+      "         Iterations 11\n",
+      "Features all have p value of 0, using feature number 11\n",
+      "i is 13\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 13)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408632\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 19\n",
+      "         Current function value: 0.263935\n",
+      "         Iterations 11\n",
+      "i is 13\n",
+      "j is 13\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 13)\n",
+      "True\n",
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.250935\n",
+      "         Iterations 11\n",
+      "Features all have p value of 0, using feature number 13\n",
+      "i is 14\n",
+      "j is 12\n",
+      "Jth_x:\n",
+      "(454894, 1)\n",
+      "Full_x:\n",
+      "(454894, 14)\n",
+      "True\n",
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.250933\n",
+      "         Iterations 11\n",
+      "i is 14\n",
+      "j is 14\n",
+      "Jth_x:\n",
+      "(454894, 1)\n",
+      "Full_x:\n",
+      "(454894, 14)\n",
+      "True\n",
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.250900\n",
+      "         Iterations 11\n",
+      "i is 14\n",
+      "j is 15\n",
+      "Jth_x:\n",
+      "(454894, 1)\n",
+      "Full_x:\n",
+      "(454894, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408953\n",
-      "         Iterations 9\n"
+      "         Current function value: 0.248668\n",
+      "         Iterations 11\n",
+      "Features all have p value of 0, using feature number 15\n",
+      "i is 15\n",
+      "j is 12\n",
+      "Jth_x:\n",
+      "(454894, 1)\n",
+      "Full_x:\n",
+      "(454894, 15)\n",
+      "True\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "i is 7\n",
-      "j is 20\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 7)\n",
-      "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408473\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 21\n",
+      "         Current function value: 0.248667\n",
+      "         Iterations 11\n",
+      "i is 15\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 15)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408965\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 22\n",
+      "         Current function value: 0.248635\n",
+      "         Iterations 11\n",
+      "i is 15\n",
+      "j is 16\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 15)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408867\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 23\n",
+      "         Current function value: 0.236450\n",
+      "         Iterations 13\n",
+      "Features all have p value of 0, using feature number 16\n",
+      "i is 16\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 16)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408796\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 24\n",
+      "         Current function value: 0.236448\n",
+      "         Iterations 13\n",
+      "i is 16\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 16)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408683\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 25\n",
+      "         Current function value: 0.236423\n",
+      "         Iterations 13\n",
+      "i is 16\n",
+      "j is 17\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 16)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408863\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 26\n",
+      "         Current function value: 0.234328\n",
+      "         Iterations 15\n",
+      "Features all have p value of 0, using feature number 17\n",
+      "i is 17\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408757\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 27\n",
+      "         Current function value: 0.234327\n",
+      "         Iterations 15\n",
+      "i is 17\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408826\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 28\n",
+      "         Current function value: 0.234316\n",
+      "         Iterations 15\n",
+      "i is 17\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.367316\n",
-      "         Iterations 9\n",
-      "Getting new model with min p-values with 7 variables.\n",
-      "New model trained using feature number 28 with lowest p values of 9.499228499425949e-239\n",
-      "i is 8\n",
-      "j is 4\n",
+      "         Current function value: 0.234140\n",
+      "         Iterations 15\n",
+      "i is 17\n",
+      "j is 19\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 8)\n",
+      "(454894, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.345673\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 4\n",
-      "i is 9\n",
-      "j is 5\n",
+      "         Current function value: 0.212927\n",
+      "         Iterations 15\n",
+      "Features all have p value of 0, using feature number 19\n",
+      "i is 18\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 9)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.343745\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 5\n",
-      "i is 10\n",
-      "j is 7\n",
+      "         Current function value: 0.212816\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 10)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.337735\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 7\n",
-      "i is 11\n",
-      "j is 9\n",
+      "         Current function value: 0.212761\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 11)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.290338\n",
-      "         Iterations 10\n",
-      "i is 11\n",
-      "j is 10\n",
+      "         Current function value: 0.212413\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 20\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 11)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.322491\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 10\n",
-      "i is 12\n",
-      "j is 9\n",
+      "         Current function value: 0.200371\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 21\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 12)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.284907\n",
-      "         Iterations 10\n",
-      "i is 12\n",
-      "j is 11\n",
+      "         Current function value: 0.212416\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 22\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 12)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.303819\n",
-      "         Iterations 10\n",
-      "i is 12\n",
-      "j is 12\n",
+      "         Current function value: 0.201928\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 12)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.322490\n",
-      "         Iterations 10\n",
-      "i is 12\n",
-      "j is 13\n",
+      "         Current function value: 0.212788\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 24\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 12)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.291220\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 13\n",
-      "i is 13\n",
-      "j is 9\n",
+      "         Current function value: 0.211543\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 13)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.272006\n",
-      "         Iterations 10\n",
-      "i is 13\n",
-      "j is 11\n",
+      "         Current function value: 0.212592\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 26\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 13)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.275543\n",
-      "         Iterations 11\n",
-      "Features all have p value of 0, using feature number 11\n",
-      "i is 14\n",
-      "j is 9\n",
+      "         Current function value: 0.211394\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.254256\n",
-      "         Iterations 11\n",
-      "i is 14\n",
+      "         Current function value: 0.211375\n",
+      "         Iterations 15\n",
+      "Getting new model with min p-values with 18 variables.\n",
+      "New model trained using feature number 26 with lowest p values of 4.364524237978316e-293\n",
+      "i is 19\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.275389\n",
-      "         Iterations 11\n",
-      "i is 14\n",
+      "         Current function value: 0.211284\n",
+      "         Iterations 15\n",
+      "i is 19\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.275412\n",
-      "         Iterations 11\n",
-      "i is 14\n",
-      "j is 16\n",
+      "         Current function value: 0.211267\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.270002\n",
-      "         Iterations 12\n",
-      "i is 14\n",
-      "j is 17\n",
+      "         Current function value: 0.210911\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 20\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.275312\n",
-      "         Iterations 11\n",
-      "i is 14\n",
-      "j is 18\n",
+      "         Current function value: 0.198853\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 21\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.274895\n",
-      "         Iterations 11\n",
-      "i is 14\n",
-      "j is 19\n",
+      "         Current function value: 0.210870\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 22\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.261909\n",
-      "         Iterations 11\n",
-      "Features all have p value of 0, using feature number 19\n",
-      "i is 15\n",
-      "j is 9\n",
+      "         Current function value: 0.199119\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 15)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.237699\n",
-      "         Iterations 11\n",
-      "Features all have p value of 0, using feature number 9\n",
-      "i is 16\n",
-      "j is 12\n",
+      "         Current function value: 0.211267\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 24\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 16)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.237684\n",
-      "         Iterations 11\n",
-      "i is 16\n",
-      "j is 14\n",
+      "         Current function value: 0.210111\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 16)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.237664\n",
-      "         Iterations 11\n",
-      "i is 16\n",
-      "j is 16\n",
+      "         Current function value: 0.211128\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 16)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.223758\n",
-      "         Iterations 13\n",
-      "Features all have p value of 0, using feature number 16\n",
-      "i is 17\n",
+      "         Current function value: 0.210396\n",
+      "         Iterations 15\n",
+      "Getting new model with min p-values with 19 variables.\n",
+      "New model trained using feature number 22 with lowest p values of 2.157027477523322e-264\n",
+      "i is 20\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 17)\n",
+      "(454894, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.223733\n",
-      "         Iterations 13\n",
-      "i is 17\n",
+      "         Current function value: 0.199070\n",
+      "         Iterations 15\n",
+      "i is 20\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 17)\n",
+      "(454894, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.223645\n",
-      "         Iterations 13\n",
-      "i is 17\n",
-      "j is 17\n",
+      "         Current function value: 0.199116\n",
+      "         Iterations 15\n",
+      "i is 20\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 17)\n",
+      "(454894, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.220652\n",
-      "         Iterations 14\n",
-      "i is 17\n",
-      "j is 18\n",
+      "         Current function value: 0.198079\n",
+      "         Iterations 15\n",
+      "i is 20\n",
+      "j is 20\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 17)\n",
+      "(454894, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.221769\n",
-      "         Iterations 13\n",
-      "Features all have p value of 0, using feature number 18\n",
-      "i is 18\n",
+      "         Current function value: 0.185037\n",
+      "         Iterations 15\n",
+      "Features all have p value of 0, using feature number 20\n",
+      "i is 21\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 18)\n",
+      "(454894, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.221762\n",
-      "         Iterations 13\n",
-      "i is 18\n",
+      "         Current function value: 0.184963\n",
+      "         Iterations 15\n",
+      "i is 21\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 18)\n",
+      "(454894, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.221733\n",
-      "         Iterations 13\n",
-      "i is 18\n",
-      "j is 17\n",
+      "         Current function value: 0.185037\n",
+      "         Iterations 15\n",
+      "i is 21\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 18)\n",
+      "(454894, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.219774\n",
-      "         Iterations 14\n",
-      "i is 18\n",
-      "j is 20\n",
+      "         Current function value: 0.184317\n",
+      "         Iterations 16\n",
+      "i is 21\n",
+      "j is 21\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 18)\n",
+      "(454894, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.209721\n",
-      "         Iterations 13\n",
-      "Features all have p value of 0, using feature number 20\n",
-      "i is 19\n",
+      "         Current function value: 0.182719\n",
+      "         Iterations 15\n",
+      "Features all have p value of 0, using feature number 21\n",
+      "i is 22\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 19)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.209702\n",
-      "         Iterations 13\n",
-      "i is 19\n",
+      "         Current function value: 0.182600\n",
+      "         Iterations 15\n",
+      "i is 22\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 19)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.209661\n",
-      "         Iterations 13\n",
-      "i is 19\n",
-      "j is 17\n",
+      "         Current function value: 0.182717\n",
+      "         Iterations 15\n",
+      "i is 22\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 19)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.205329\n",
+      "         Current function value: 0.181863\n",
       "         Iterations 15\n",
-      "i is 19\n",
-      "j is 21\n",
+      "i is 22\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 19)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.208175\n",
-      "         Iterations 13\n",
-      "i is 19\n",
-      "j is 22\n",
+      "         Current function value: 0.182716\n",
+      "         Iterations 15\n",
+      "i is 22\n",
+      "j is 24\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 19)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.189352\n",
-      "         Iterations 14\n",
-      "Features all have p value of 0, using feature number 22\n",
-      "i is 20\n",
-      "j is 12\n",
+      "         Current function value: 0.178477\n",
+      "         Iterations 16\n",
+      "i is 22\n",
+      "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 20)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.189289\n",
-      "         Iterations 14\n",
-      "i is 20\n",
-      "j is 14\n",
+      "         Current function value: 0.182645\n",
+      "         Iterations 15\n",
+      "i is 22\n",
+      "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 20)\n",
+      "(454894, 22)\n",
+      "True\n",
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.180289\n",
+      "         Iterations 16\n",
+      "Getting new model with min p-values with 22 variables.\n",
+      "New model trained using feature number 24 with lowest p values of 1.0447168325500864e-296\n",
+      "i is 23\n",
+      "j is 12\n",
+      "Jth_x:\n",
+      "(454894, 1)\n",
+      "Full_x:\n",
+      "(454894, 23)\n",
       "True\n"
      ]
     },
@@ -1818,363 +1822,221 @@
      "output_type": "stream",
      "text": [
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.189341\n",
-      "         Iterations 14\n",
-      "i is 20\n",
-      "j is 17\n",
+      "         Current function value: 0.178318\n",
+      "         Iterations 16\n",
+      "i is 23\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 20)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.187372\n",
+      "         Current function value: 0.178475\n",
       "         Iterations 16\n",
-      "i is 20\n",
-      "j is 21\n",
+      "i is 23\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 20)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.185437\n",
-      "         Iterations 14\n",
-      "Features all have p value of 0, using feature number 21\n",
-      "i is 21\n",
-      "j is 12\n",
+      "         Current function value: 0.177006\n",
+      "         Iterations 15\n",
+      "i is 23\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 21)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.185402\n",
-      "         Iterations 14\n",
-      "i is 21\n",
-      "j is 14\n",
+      "         Current function value: 0.178477\n",
+      "         Iterations 16\n",
+      "i is 23\n",
+      "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 21)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.185420\n",
-      "         Iterations 14\n",
-      "i is 21\n",
-      "j is 17\n",
+      "         Current function value: 0.178319\n",
+      "         Iterations 16\n",
+      "i is 23\n",
+      "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 21)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.183687\n",
-      "         Iterations 15\n",
-      "i is 21\n",
-      "j is 23\n",
+      "         Current function value: 0.176160\n",
+      "         Iterations 16\n",
+      "Getting new model with min p-values with 23 variables.\n",
+      "New model trained using feature number 27 with lowest p values of 8.029805300654864e-235\n",
+      "i is 24\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 21)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.185431\n",
-      "         Iterations 14\n",
-      "i is 21\n",
-      "j is 24\n",
+      "         Current function value: 0.175961\n",
+      "         Iterations 16\n",
+      "i is 24\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 21)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.179650\n",
-      "         Iterations 14\n",
-      "Features all have p value of 0, using feature number 24\n",
-      "i is 22\n",
-      "j is 12\n",
+      "         Current function value: 0.176160\n",
+      "         Iterations 16\n",
+      "i is 24\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 22)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.179634\n",
-      "         Iterations 14\n",
-      "i is 22\n",
-      "j is 14\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 22)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.179617\n",
-      "         Iterations 14\n",
-      "i is 22\n",
-      "j is 17\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 22)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.178637\n",
-      "         Iterations 15\n",
-      "i is 22\n",
-      "j is 23\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 22)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.179648\n",
-      "         Iterations 14\n",
-      "i is 22\n",
-      "j is 25\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 22)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.179217\n",
-      "         Iterations 14\n",
-      "i is 22\n",
-      "j is 26\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 22)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.176348\n",
-      "         Iterations 14\n",
-      "Features all have p value of 0, using feature number 26\n",
-      "i is 23\n",
-      "j is 12\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 23)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.176328\n",
-      "         Iterations 14\n",
-      "i is 23\n",
-      "j is 14\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 23)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.176295\n",
-      "         Iterations 14\n",
-      "i is 23\n",
-      "j is 17\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 23)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.175418\n",
-      "         Iterations 16\n",
-      "i is 23\n",
-      "j is 23\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 23)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.176348\n",
-      "         Iterations 14\n",
-      "i is 23\n",
-      "j is 25\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 23)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.176096\n",
-      "         Iterations 14\n",
-      "i is 23\n",
-      "j is 27\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 23)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.173760\n",
-      "         Iterations 15\n",
-      "Features all have p value of 0, using feature number 27\n",
-      "i is 24\n",
-      "j is 12\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 24)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.173750\n",
-      "         Iterations 15\n",
-      "i is 24\n",
-      "j is 14\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 24)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.173723\n",
-      "         Iterations 15\n",
-      "i is 24\n",
-      "j is 17\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 24)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172663\n",
+      "         Current function value: 0.174591\n",
       "         Iterations 16\n",
       "i is 24\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 24)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173760\n",
-      "         Iterations 15\n",
+      "         Current function value: 0.176160\n",
+      "         Iterations 16\n",
       "i is 24\n",
       "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 24)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173478\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.175997\n",
+      "         Iterations 16\n",
       "Getting new model with min p-values with 24 variables.\n",
-      "New model trained using feature number 17 with lowest p values of 3.248398781061158e-183\n",
+      "New model trained using feature number 18 with lowest p values of 2.799540855543493e-144\n",
       "i is 25\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 25)\n",
+      "(454894, 25)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172650\n",
+      "         Current function value: 0.174323\n",
       "         Iterations 16\n",
       "i is 25\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 25)\n",
+      "(454894, 25)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172649\n",
+      "         Current function value: 0.174574\n",
       "         Iterations 16\n",
       "i is 25\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 25)\n",
+      "(454894, 25)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172660\n",
+      "         Current function value: 0.174591\n",
       "         Iterations 16\n",
       "i is 25\n",
       "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 25)\n",
+      "(454894, 25)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172400\n",
+      "         Current function value: 0.174492\n",
       "         Iterations 16\n",
       "Getting new model with min p-values with 25 variables.\n",
-      "New model trained using feature number 25 with lowest p values of 9.067123186509317e-53\n",
+      "New model trained using feature number 12 with lowest p values of 6.744714932826996e-55\n",
       "i is 26\n",
-      "j is 12\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 26)\n",
+      "(454894, 26)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172386\n",
+      "         Current function value: 0.174313\n",
       "         Iterations 16\n",
       "i is 26\n",
-      "j is 14\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 26)\n",
+      "(454894, 26)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172386\n",
+      "         Current function value: 0.174323\n",
       "         Iterations 16\n",
       "i is 26\n",
-      "j is 23\n",
+      "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 26)\n",
+      "(454894, 26)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172399\n",
+      "         Current function value: 0.174227\n",
       "         Iterations 16\n",
       "Getting new model with min p-values with 26 variables.\n",
-      "New model trained using feature number 12 with lowest p values of 0.0002697708380148323\n",
+      "New model trained using feature number 25 with lowest p values of 1.561502837087903e-20\n",
       "i is 27\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 27)\n",
+      "(454894, 27)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172369\n",
+      "         Current function value: 0.174217\n",
       "         Iterations 16\n",
       "i is 27\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 27)\n",
+      "(454894, 27)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172384\n",
+      "         Current function value: 0.174227\n",
       "         Iterations 16\n",
       "Getting new model with min p-values with 27 variables.\n",
-      "New model trained using feature number 14 with lowest p values of 9.867415806552968e-05\n",
+      "New model trained using feature number 14 with lowest p values of 0.0028516219719427064\n",
       "i is 28\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 28)\n",
+      "(454894, 28)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172368\n",
+      "         Current function value: 0.174217\n",
       "         Iterations 16\n",
       "Getting new model with min p-values with 28 variables.\n",
-      "TERMINATING AS best model trained using feature number 23 with high p value of 0.39338990848652755 above significance level: 0.05\n",
-      "['V1', 'V2', 'V3', 'V4', 'V7', 'V9', 'V16', 'Amount', 'V5', 'V6', 'V8', 'V11', 'V14', 'V12', 'V20', 'V10', 'V17', 'V19', 'V21', 'V23', 'V22', 'V25', 'V27', 'V28', 'V18', 'V26', 'V13', 'V15']\n"
+      "TERMINATING AS best model trained using feature number 23 with high p value of 0.7040606741302529 above significance level: 0.05\n",
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'Amount', 'V7', 'V8', 'V9', 'V6', 'V10', 'V11', 'V12', 'V14', 'V16', 'V17', 'V18', 'V20', 'V27', 'V23', 'V21', 'V22', 'V25', 'V28', 'V19', 'V13', 'V26', 'V15']\n"
      ]
     }
    ],
@@ -2292,7 +2154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -2303,1325 +2165,1167 @@
       "i is 0\n",
       "j is 0\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
       "()\n",
       "False\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.575323\n",
+      "         Current function value: 0.564092\n",
       "         Iterations 7\n",
       "First model trained using feature number 0 with p value of 0\n",
       "Full X:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "i is 1\n",
       "j is 1\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.511706\n",
+      "         Current function value: 0.510754\n",
       "         Iterations 7\n",
       "Features all have p value of 0, using feature number 1\n",
       "i is 2\n",
       "j is 2\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 2)\n",
+      "(454894, 2)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.449435\n",
+      "         Current function value: 0.448630\n",
       "         Iterations 8\n",
       "Features all have p value of 0, using feature number 2\n",
       "i is 3\n",
       "j is 3\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 3)\n",
+      "(454894, 3)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.421701\n",
+      "         Current function value: 0.422452\n",
       "         Iterations 8\n",
       "Features all have p value of 0, using feature number 3\n",
       "i is 4\n",
       "j is 4\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 4)\n",
+      "(454894, 4)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.420453\n",
+      "         Current function value: 0.420759\n",
       "         Iterations 9\n",
-      "i is 4\n",
+      "Features all have p value of 0, using feature number 4\n",
+      "i is 5\n",
       "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 4)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.420351\n",
-      "         Iterations 8\n",
-      "i is 4\n",
+      "         Current function value: 0.419426\n",
+      "         Iterations 9\n",
+      "i is 5\n",
       "j is 6\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 4)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.415400\n",
+      "         Current function value: 0.415607\n",
       "         Iterations 9\n",
-      "Features all have p value of 0, using feature number 6\n",
       "i is 5\n",
-      "j is 4\n",
+      "j is 7\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 5)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.414459\n",
+      "         Current function value: 0.420709\n",
       "         Iterations 9\n",
       "i is 5\n",
-      "j is 5\n",
+      "j is 8\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 5)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.414210\n",
+      "         Current function value: 0.418189\n",
       "         Iterations 9\n",
       "i is 5\n",
-      "j is 7\n",
+      "j is 9\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 5)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.415362\n",
+      "         Current function value: 0.404809\n",
       "         Iterations 9\n",
       "i is 5\n",
-      "j is 8\n",
+      "j is 10\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 5)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412636\n",
+      "         Current function value: 0.408897\n",
       "         Iterations 9\n",
-      "Features all have p value of 0, using feature number 8\n",
-      "i is 6\n",
-      "j is 4\n",
+      "i is 5\n",
+      "j is 11\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.411805\n",
+      "         Current function value: 0.403220\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 5\n",
+      "i is 5\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.411662\n",
+      "         Current function value: 0.420265\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 7\n",
+      "i is 5\n",
+      "j is 13\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412498\n",
+      "         Current function value: 0.391059\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 9\n",
+      "i is 5\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.400688\n",
+      "         Current function value: 0.420753\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 10\n",
+      "i is 5\n",
+      "j is 15\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.405340\n",
+      "         Current function value: 0.414738\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 11\n",
+      "i is 5\n",
+      "j is 16\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.398916\n",
+      "         Current function value: 0.416288\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 12\n",
+      "i is 5\n",
+      "j is 17\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412530\n",
+      "         Current function value: 0.420174\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 13\n",
+      "i is 5\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.388913\n",
+      "         Current function value: 0.420758\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 14\n",
+      "i is 5\n",
+      "j is 19\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412636\n",
+      "         Current function value: 0.420743\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 15\n",
+      "i is 5\n",
+      "j is 20\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408969\n",
+      "         Current function value: 0.420062\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 16\n",
+      "i is 5\n",
+      "j is 21\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409203\n",
+      "         Current function value: 0.420759\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 17\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 6)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.412250\n",
-      "         Iterations 9\n",
-      "i is 6\n",
-      "j is 18\n",
+      "i is 5\n",
+      "j is 22\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412590\n",
+      "         Current function value: 0.420094\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 19\n",
+      "i is 5\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412578\n",
+      "         Current function value: 0.420617\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 20\n",
+      "i is 5\n",
+      "j is 24\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412013\n",
+      "         Current function value: 0.420570\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 21\n",
+      "i is 5\n",
+      "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412627\n",
+      "         Current function value: 0.420715\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 22\n",
+      "i is 5\n",
+      "j is 26\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412562\n",
+      "         Current function value: 0.419883\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 23\n",
+      "i is 5\n",
+      "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412503\n",
+      "         Current function value: 0.420260\n",
       "         Iterations 9\n",
-      "i is 6\n",
-      "j is 24\n",
+      "i is 5\n",
+      "j is 28\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412423\n",
-      "         Iterations 9\n",
+      "         Current function value: 0.364210\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 28\n",
       "i is 6\n",
-      "j is 25\n",
+      "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412547\n",
-      "         Iterations 9\n",
+      "         Current function value: 0.363716\n",
+      "         Iterations 10\n",
       "i is 6\n",
-      "j is 26\n",
+      "j is 6\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412395\n",
-      "         Iterations 9\n",
-      "i is 6\n",
-      "j is 27\n",
+      "         Current function value: 0.357805\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 6\n",
+      "i is 7\n",
+      "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412474\n",
-      "         Iterations 9\n",
-      "i is 6\n",
-      "j is 28\n",
+      "         Current function value: 0.356400\n",
+      "         Iterations 10\n",
+      "i is 7\n",
+      "j is 7\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 6)\n",
+      "(454894, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.376845\n",
-      "         Iterations 9\n",
-      "Getting new model with min p-values with 6 variables.\n",
-      "New model trained using feature number 15 with lowest p values of 6.205335420577937e-262\n",
-      "i is 7\n",
-      "j is 4\n",
+      "         Current function value: 0.353298\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 7\n",
+      "i is 8\n",
+      "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 8)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408761\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 5\n",
+      "         Current function value: 0.351768\n",
+      "         Iterations 10\n",
+      "i is 8\n",
+      "j is 8\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 8)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408033\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 7\n",
+      "         Current function value: 0.348619\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 8\n",
+      "i is 9\n",
+      "j is 5\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 9)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408769\n",
-      "         Iterations 9\n",
-      "i is 7\n",
+      "         Current function value: 0.346589\n",
+      "         Iterations 10\n",
+      "Features all have p value of 0, using feature number 5\n",
+      "i is 10\n",
       "j is 9\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 10)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.399202\n",
+      "         Current function value: 0.286862\n",
       "         Iterations 10\n",
-      "i is 7\n",
+      "Features all have p value of 0, using feature number 9\n",
+      "i is 11\n",
       "j is 10\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 11)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.402730\n",
-      "         Iterations 9\n",
-      "i is 7\n",
+      "         Current function value: 0.279469\n",
+      "         Iterations 11\n",
+      "Features all have p value of 0, using feature number 10\n",
+      "i is 12\n",
       "j is 11\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 12)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.397522\n",
-      "         Iterations 9\n",
-      "i is 7\n",
+      "         Current function value: 0.263986\n",
+      "         Iterations 11\n",
+      "Features all have p value of 0, using feature number 11\n",
+      "i is 13\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 13)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408835\n",
-      "         Iterations 9\n",
-      "i is 7\n",
+      "         Current function value: 0.263935\n",
+      "         Iterations 11\n",
+      "i is 13\n",
       "j is 13\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 7)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.387514\n",
-      "         Iterations 10\n",
-      "i is 7\n",
-      "j is 14\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 13)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408958\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 16\n",
+      "         Current function value: 0.250935\n",
+      "         Iterations 11\n",
+      "Features all have p value of 0, using feature number 13\n",
+      "i is 14\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.407749\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 17\n",
+      "         Current function value: 0.250933\n",
+      "         Iterations 11\n",
+      "i is 14\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408958\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 18\n",
+      "         Current function value: 0.250900\n",
+      "         Iterations 11\n",
+      "i is 14\n",
+      "j is 15\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408632\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 19\n",
+      "         Current function value: 0.248668\n",
+      "         Iterations 11\n",
+      "Features all have p value of 0, using feature number 15\n",
+      "i is 15\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.408953\n",
-      "         Iterations 9\n"
+      "(454894, 15)\n",
+      "True\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "i is 7\n",
-      "j is 20\n",
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.248667\n",
+      "         Iterations 11\n",
+      "i is 15\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 15)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408473\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 21\n",
+      "         Current function value: 0.248635\n",
+      "         Iterations 11\n",
+      "i is 15\n",
+      "j is 16\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 15)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408965\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 22\n",
+      "         Current function value: 0.236450\n",
+      "         Iterations 13\n",
+      "Features all have p value of 0, using feature number 16\n",
+      "i is 16\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 16)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408867\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 23\n",
+      "         Current function value: 0.236448\n",
+      "         Iterations 13\n",
+      "i is 16\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 16)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408796\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 24\n",
+      "         Current function value: 0.236423\n",
+      "         Iterations 13\n",
+      "i is 16\n",
+      "j is 17\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 16)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408683\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 25\n",
+      "         Current function value: 0.234328\n",
+      "         Iterations 15\n",
+      "Features all have p value of 0, using feature number 17\n",
+      "i is 17\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408863\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 26\n",
+      "         Current function value: 0.234327\n",
+      "         Iterations 15\n",
+      "i is 17\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408757\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 27\n",
+      "         Current function value: 0.234316\n",
+      "         Iterations 15\n",
+      "i is 17\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408826\n",
-      "         Iterations 9\n",
-      "i is 7\n",
-      "j is 28\n",
+      "         Current function value: 0.234140\n",
+      "         Iterations 15\n",
+      "i is 17\n",
+      "j is 19\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 7)\n",
+      "(454894, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.367316\n",
-      "         Iterations 9\n",
-      "Getting new model with min p-values with 7 variables.\n",
-      "New model trained using feature number 28 with lowest p values of 9.499228499425949e-239\n",
-      "i is 8\n",
-      "j is 4\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 8)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.345673\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 4\n",
-      "i is 9\n",
-      "j is 5\n",
+      "         Current function value: 0.212927\n",
+      "         Iterations 15\n",
+      "Features all have p value of 0, using feature number 19\n",
+      "i is 18\n",
+      "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 9)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.343745\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 5\n",
-      "i is 10\n",
-      "j is 7\n",
+      "         Current function value: 0.212816\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 10)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.337735\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 7\n",
-      "i is 11\n",
-      "j is 9\n",
+      "         Current function value: 0.212761\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 11)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.290338\n",
-      "         Iterations 10\n",
-      "i is 11\n",
-      "j is 10\n",
+      "         Current function value: 0.212413\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 20\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 11)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.322491\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 10\n",
-      "i is 12\n",
-      "j is 9\n",
+      "         Current function value: 0.200371\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 21\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 12)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.284907\n",
-      "         Iterations 10\n",
-      "i is 12\n",
-      "j is 11\n",
+      "         Current function value: 0.212416\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 22\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 12)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.303819\n",
-      "         Iterations 10\n",
-      "i is 12\n",
-      "j is 12\n",
+      "         Current function value: 0.201928\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 12)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.322490\n",
-      "         Iterations 10\n",
-      "i is 12\n",
-      "j is 13\n",
+      "         Current function value: 0.212788\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 24\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 12)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.291220\n",
-      "         Iterations 10\n",
-      "Features all have p value of 0, using feature number 13\n",
-      "i is 13\n",
-      "j is 9\n",
+      "         Current function value: 0.211543\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 13)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.272006\n",
-      "         Iterations 10\n",
-      "i is 13\n",
-      "j is 11\n",
+      "         Current function value: 0.212592\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 26\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 13)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.275543\n",
-      "         Iterations 11\n",
-      "Features all have p value of 0, using feature number 11\n",
-      "i is 14\n",
-      "j is 9\n",
+      "         Current function value: 0.211394\n",
+      "         Iterations 15\n",
+      "i is 18\n",
+      "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.254256\n",
-      "         Iterations 11\n",
-      "i is 14\n",
+      "         Current function value: 0.211375\n",
+      "         Iterations 15\n",
+      "Getting new model with min p-values with 18 variables.\n",
+      "New model trained using feature number 26 with lowest p values of 4.364524237978316e-293\n",
+      "i is 19\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.275389\n",
-      "         Iterations 11\n",
-      "i is 14\n",
+      "         Current function value: 0.211284\n",
+      "         Iterations 15\n",
+      "i is 19\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.275412\n",
-      "         Iterations 11\n",
-      "i is 14\n",
-      "j is 16\n",
+      "         Current function value: 0.211267\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.270002\n",
-      "         Iterations 12\n",
-      "i is 14\n",
-      "j is 17\n",
+      "         Current function value: 0.210911\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 20\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.275312\n",
-      "         Iterations 11\n",
-      "i is 14\n",
-      "j is 18\n",
+      "         Current function value: 0.198853\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 21\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.274895\n",
-      "         Iterations 11\n",
-      "i is 14\n",
-      "j is 19\n",
+      "         Current function value: 0.210870\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 22\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 14)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.261909\n",
-      "         Iterations 11\n",
-      "Features all have p value of 0, using feature number 19\n",
-      "i is 15\n",
-      "j is 9\n",
+      "         Current function value: 0.199119\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 15)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.237699\n",
-      "         Iterations 11\n",
-      "Features all have p value of 0, using feature number 9\n",
-      "i is 16\n",
-      "j is 12\n",
+      "         Current function value: 0.211267\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 24\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 16)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.237684\n",
-      "         Iterations 11\n",
-      "i is 16\n",
-      "j is 14\n",
+      "         Current function value: 0.210111\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 16)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.237664\n",
-      "         Iterations 11\n",
-      "i is 16\n",
-      "j is 16\n",
+      "         Current function value: 0.211128\n",
+      "         Iterations 15\n",
+      "i is 19\n",
+      "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 16)\n",
+      "(454894, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.223758\n",
-      "         Iterations 13\n",
-      "Features all have p value of 0, using feature number 16\n",
-      "i is 17\n",
+      "         Current function value: 0.210396\n",
+      "         Iterations 15\n",
+      "Getting new model with min p-values with 19 variables.\n",
+      "New model trained using feature number 22 with lowest p values of 2.157027477523322e-264\n",
+      "i is 20\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 17)\n",
+      "(454894, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.223733\n",
-      "         Iterations 13\n",
-      "i is 17\n",
+      "         Current function value: 0.199070\n",
+      "         Iterations 15\n",
+      "i is 20\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 17)\n",
+      "(454894, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.223645\n",
-      "         Iterations 13\n",
-      "i is 17\n",
-      "j is 17\n",
+      "         Current function value: 0.199116\n",
+      "         Iterations 15\n",
+      "i is 20\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 17)\n",
+      "(454894, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.220652\n",
-      "         Iterations 14\n",
-      "i is 17\n",
-      "j is 18\n",
+      "         Current function value: 0.198079\n",
+      "         Iterations 15\n",
+      "i is 20\n",
+      "j is 20\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 17)\n",
+      "(454894, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.221769\n",
-      "         Iterations 13\n",
-      "Features all have p value of 0, using feature number 18\n",
-      "i is 18\n",
+      "         Current function value: 0.185037\n",
+      "         Iterations 15\n",
+      "Features all have p value of 0, using feature number 20\n",
+      "i is 21\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 18)\n",
+      "(454894, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.221762\n",
-      "         Iterations 13\n",
-      "i is 18\n",
+      "         Current function value: 0.184963\n",
+      "         Iterations 15\n",
+      "i is 21\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 18)\n",
+      "(454894, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.221733\n",
-      "         Iterations 13\n",
-      "i is 18\n",
-      "j is 17\n",
+      "         Current function value: 0.185037\n",
+      "         Iterations 15\n",
+      "i is 21\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 18)\n",
+      "(454894, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.219774\n",
-      "         Iterations 14\n",
-      "i is 18\n",
-      "j is 20\n",
+      "         Current function value: 0.184317\n",
+      "         Iterations 16\n",
+      "i is 21\n",
+      "j is 21\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 18)\n",
+      "(454894, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.209721\n",
-      "         Iterations 13\n",
-      "Features all have p value of 0, using feature number 20\n",
-      "i is 19\n",
+      "         Current function value: 0.182719\n",
+      "         Iterations 15\n",
+      "Features all have p value of 0, using feature number 21\n",
+      "i is 22\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 19)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.209702\n",
-      "         Iterations 13\n",
-      "i is 19\n",
+      "         Current function value: 0.182600\n",
+      "         Iterations 15\n",
+      "i is 22\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 19)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.209661\n",
-      "         Iterations 13\n",
-      "i is 19\n",
-      "j is 17\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 19)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.205329\n",
-      "         Iterations 15\n",
-      "i is 19\n",
-      "j is 21\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 19)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.208175\n",
-      "         Iterations 13\n",
-      "i is 19\n",
-      "j is 22\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 19)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.189352\n",
-      "         Iterations 14\n",
-      "Features all have p value of 0, using feature number 22\n",
-      "i is 20\n",
-      "j is 12\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 20)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.189289\n",
-      "         Iterations 14\n",
-      "i is 20\n",
-      "j is 14\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 20)\n",
-      "True\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.189341\n",
-      "         Iterations 14\n",
-      "i is 20\n",
-      "j is 17\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 20)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.187372\n",
-      "         Iterations 16\n",
-      "i is 20\n",
-      "j is 21\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 20)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.185437\n",
-      "         Iterations 14\n",
-      "Features all have p value of 0, using feature number 21\n",
-      "i is 21\n",
-      "j is 12\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 21)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.185402\n",
-      "         Iterations 14\n",
-      "i is 21\n",
-      "j is 14\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 21)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.185420\n",
-      "         Iterations 14\n",
-      "i is 21\n",
-      "j is 17\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 21)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.183687\n",
+      "         Current function value: 0.182717\n",
       "         Iterations 15\n",
-      "i is 21\n",
-      "j is 23\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 21)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.185431\n",
-      "         Iterations 14\n",
-      "i is 21\n",
-      "j is 24\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 21)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.179650\n",
-      "         Iterations 14\n",
-      "Features all have p value of 0, using feature number 24\n",
-      "i is 22\n",
-      "j is 12\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 22)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.179634\n",
-      "         Iterations 14\n",
       "i is 22\n",
-      "j is 14\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 22)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.179617\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.181863\n",
+      "         Iterations 15\n",
       "i is 22\n",
-      "j is 17\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 22)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.178637\n",
+      "         Current function value: 0.182716\n",
       "         Iterations 15\n",
       "i is 22\n",
-      "j is 23\n",
+      "j is 24\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 22)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.179648\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.178477\n",
+      "         Iterations 16\n",
       "i is 22\n",
       "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 22)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.179217\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.182645\n",
+      "         Iterations 15\n",
       "i is 22\n",
-      "j is 26\n",
+      "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 22)\n",
+      "(454894, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176348\n",
-      "         Iterations 14\n",
-      "Features all have p value of 0, using feature number 26\n",
+      "         Current function value: 0.180289\n",
+      "         Iterations 16\n",
+      "Getting new model with min p-values with 22 variables.\n",
+      "New model trained using feature number 24 with lowest p values of 1.0447168325500864e-296\n",
       "i is 23\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 23)\n",
-      "True\n",
+      "(454894, 23)\n",
+      "True\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176328\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.178318\n",
+      "         Iterations 16\n",
       "i is 23\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 23)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176295\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.178475\n",
+      "         Iterations 16\n",
       "i is 23\n",
-      "j is 17\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 23)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.175418\n",
-      "         Iterations 16\n",
+      "         Current function value: 0.177006\n",
+      "         Iterations 15\n",
       "i is 23\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 23)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176348\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.178477\n",
+      "         Iterations 16\n",
       "i is 23\n",
       "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 23)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176096\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.178319\n",
+      "         Iterations 16\n",
       "i is 23\n",
       "j is 27\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 23)\n",
+      "(454894, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173760\n",
-      "         Iterations 15\n",
-      "Features all have p value of 0, using feature number 27\n",
+      "         Current function value: 0.176160\n",
+      "         Iterations 16\n",
+      "Getting new model with min p-values with 23 variables.\n",
+      "New model trained using feature number 27 with lowest p values of 8.029805300654864e-235\n",
       "i is 24\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 24)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173750\n",
-      "         Iterations 15\n",
+      "         Current function value: 0.175961\n",
+      "         Iterations 16\n",
       "i is 24\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 24)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173723\n",
-      "         Iterations 15\n",
+      "         Current function value: 0.176160\n",
+      "         Iterations 16\n",
       "i is 24\n",
-      "j is 17\n",
+      "j is 18\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 24)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172663\n",
+      "         Current function value: 0.174591\n",
       "         Iterations 16\n",
       "i is 24\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 24)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173760\n",
-      "         Iterations 15\n",
+      "         Current function value: 0.176160\n",
+      "         Iterations 16\n",
       "i is 24\n",
       "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 24)\n",
+      "(454894, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173478\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.175997\n",
+      "         Iterations 16\n",
       "Getting new model with min p-values with 24 variables.\n",
-      "New model trained using feature number 17 with lowest p values of 3.248398781061158e-183\n",
+      "New model trained using feature number 18 with lowest p values of 2.799540855543493e-144\n",
       "i is 25\n",
       "j is 12\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 25)\n",
+      "(454894, 25)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172650\n",
+      "         Current function value: 0.174323\n",
       "         Iterations 16\n",
       "i is 25\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 25)\n",
+      "(454894, 25)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172649\n",
+      "         Current function value: 0.174574\n",
       "         Iterations 16\n",
       "i is 25\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 25)\n",
+      "(454894, 25)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172660\n",
+      "         Current function value: 0.174591\n",
       "         Iterations 16\n",
       "i is 25\n",
       "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 25)\n",
+      "(454894, 25)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172400\n",
+      "         Current function value: 0.174492\n",
       "         Iterations 16\n",
       "Getting new model with min p-values with 25 variables.\n",
-      "New model trained using feature number 25 with lowest p values of 9.067123186509317e-53\n",
+      "New model trained using feature number 12 with lowest p values of 6.744714932826996e-55\n",
       "i is 26\n",
-      "j is 12\n",
+      "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 26)\n",
+      "(454894, 26)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172386\n",
+      "         Current function value: 0.174313\n",
       "         Iterations 16\n",
       "i is 26\n",
-      "j is 14\n",
+      "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 26)\n",
+      "(454894, 26)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172386\n",
+      "         Current function value: 0.174323\n",
       "         Iterations 16\n",
       "i is 26\n",
-      "j is 23\n",
+      "j is 25\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 26)\n",
+      "(454894, 26)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172399\n",
+      "         Current function value: 0.174227\n",
       "         Iterations 16\n",
       "Getting new model with min p-values with 26 variables.\n",
-      "New model trained using feature number 12 with lowest p values of 0.0002697708380148323\n",
+      "New model trained using feature number 25 with lowest p values of 1.561502837087903e-20\n",
       "i is 27\n",
       "j is 14\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 27)\n",
+      "(454894, 27)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172369\n",
+      "         Current function value: 0.174217\n",
       "         Iterations 16\n",
       "i is 27\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 27)\n",
+      "(454894, 27)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172384\n",
+      "         Current function value: 0.174227\n",
       "         Iterations 16\n",
       "Getting new model with min p-values with 27 variables.\n",
-      "New model trained using feature number 14 with lowest p values of 9.867415806552968e-05\n",
+      "New model trained using feature number 14 with lowest p values of 0.0028516219719427064\n",
       "i is 28\n",
       "j is 23\n",
       "Jth_x:\n",
-      "(454902, 1)\n",
+      "(454894, 1)\n",
       "Full_x:\n",
-      "(454902, 28)\n",
+      "(454894, 28)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172368\n",
+      "         Current function value: 0.174217\n",
       "         Iterations 16\n",
       "Getting new model with min p-values with 28 variables.\n",
-      "TERMINATING AS best model trained using feature number 23 with high p value of 0.39338990848652755 above significance level: 0.05\n",
+      "TERMINATING AS best model trained using feature number 23 with high p value of 0.7040606741302529 above significance level: 0.05\n",
       "Final variables selected:\n",
-      "['V1', 'V2', 'V3', 'V4', 'V7', 'V9', 'V16', 'Amount', 'V5', 'V6', 'V8', 'V11', 'V14', 'V12', 'V20', 'V10', 'V17', 'V19', 'V21', 'V23', 'V22', 'V25', 'V27', 'V28', 'V18', 'V26', 'V13', 'V15']\n"
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'Amount', 'V7', 'V8', 'V9', 'V6', 'V10', 'V11', 'V12', 'V14', 'V16', 'V17', 'V18', 'V20', 'V27', 'V23', 'V21', 'V22', 'V25', 'V28', 'V19', 'V13', 'V26', 'V15']\n"
      ]
     }
    ],
@@ -3736,7 +3440,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3880,7 +3584,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -3929,123 +3633,123 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <td>16783</td>\n",
-       "      <td>28150.0</td>\n",
-       "      <td>-1.217577</td>\n",
-       "      <td>0.341533</td>\n",
-       "      <td>-0.547189</td>\n",
-       "      <td>-3.435700</td>\n",
-       "      <td>2.068065</td>\n",
-       "      <td>2.998467</td>\n",
-       "      <td>0.075432</td>\n",
-       "      <td>1.358111</td>\n",
-       "      <td>0.888721</td>\n",
+       "      <td>186521</td>\n",
+       "      <td>127145.0</td>\n",
+       "      <td>0.077780</td>\n",
+       "      <td>0.970511</td>\n",
+       "      <td>-0.334307</td>\n",
+       "      <td>-0.633618</td>\n",
+       "      <td>0.947049</td>\n",
+       "      <td>-0.501684</td>\n",
+       "      <td>0.861559</td>\n",
+       "      <td>0.052578</td>\n",
+       "      <td>-0.321685</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.169483</td>\n",
-       "      <td>-0.643372</td>\n",
-       "      <td>-0.059014</td>\n",
-       "      <td>0.970979</td>\n",
-       "      <td>0.492970</td>\n",
-       "      <td>-1.059613</td>\n",
-       "      <td>0.221740</td>\n",
-       "      <td>0.093697</td>\n",
-       "      <td>57.61</td>\n",
+       "      <td>-0.274229</td>\n",
+       "      <td>-0.674483</td>\n",
+       "      <td>0.109402</td>\n",
+       "      <td>0.601827</td>\n",
+       "      <td>-0.480361</td>\n",
+       "      <td>0.092184</td>\n",
+       "      <td>0.221266</td>\n",
+       "      <td>0.075206</td>\n",
+       "      <td>4.56</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>282318</td>\n",
-       "      <td>170810.0</td>\n",
-       "      <td>1.398705</td>\n",
-       "      <td>-0.711496</td>\n",
-       "      <td>-2.457786</td>\n",
-       "      <td>1.102918</td>\n",
-       "      <td>0.082091</td>\n",
-       "      <td>-1.274653</td>\n",
-       "      <td>0.751314</td>\n",
-       "      <td>-0.407527</td>\n",
-       "      <td>0.849234</td>\n",
+       "      <td>9457</td>\n",
+       "      <td>13993.0</td>\n",
+       "      <td>1.085876</td>\n",
+       "      <td>-0.048652</td>\n",
+       "      <td>1.275049</td>\n",
+       "      <td>1.307756</td>\n",
+       "      <td>-0.519074</td>\n",
+       "      <td>0.827831</td>\n",
+       "      <td>-0.846353</td>\n",
+       "      <td>0.325183</td>\n",
+       "      <td>1.958550</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.010116</td>\n",
-       "      <td>-0.413077</td>\n",
-       "      <td>-0.237815</td>\n",
-       "      <td>-0.274194</td>\n",
-       "      <td>0.078540</td>\n",
-       "      <td>-0.321235</td>\n",
-       "      <td>-0.044917</td>\n",
-       "      <td>0.048623</td>\n",
-       "      <td>333.77</td>\n",
+       "      <td>-0.154765</td>\n",
+       "      <td>-0.007733</td>\n",
+       "      <td>-0.017300</td>\n",
+       "      <td>-0.362792</td>\n",
+       "      <td>0.326210</td>\n",
+       "      <td>-0.415107</td>\n",
+       "      <td>0.056283</td>\n",
+       "      <td>0.015306</td>\n",
+       "      <td>12.99</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>133376</td>\n",
-       "      <td>80358.0</td>\n",
-       "      <td>-1.293951</td>\n",
-       "      <td>-0.014951</td>\n",
-       "      <td>1.810928</td>\n",
-       "      <td>-0.091622</td>\n",
-       "      <td>1.610843</td>\n",
-       "      <td>1.649785</td>\n",
-       "      <td>-0.092683</td>\n",
-       "      <td>0.740887</td>\n",
-       "      <td>-0.611296</td>\n",
+       "      <td>92672</td>\n",
+       "      <td>64040.0</td>\n",
+       "      <td>-0.894390</td>\n",
+       "      <td>0.520338</td>\n",
+       "      <td>2.032163</td>\n",
+       "      <td>-0.034288</td>\n",
+       "      <td>0.746082</td>\n",
+       "      <td>-0.447069</td>\n",
+       "      <td>0.526433</td>\n",
+       "      <td>0.015126</td>\n",
+       "      <td>-0.735332</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.037383</td>\n",
-       "      <td>0.173010</td>\n",
-       "      <td>-0.072245</td>\n",
-       "      <td>-1.286169</td>\n",
-       "      <td>0.119253</td>\n",
-       "      <td>0.430603</td>\n",
-       "      <td>0.062277</td>\n",
-       "      <td>0.047626</td>\n",
-       "      <td>14.49</td>\n",
+       "      <td>-0.165533</td>\n",
+       "      <td>-0.523333</td>\n",
+       "      <td>-0.090716</td>\n",
+       "      <td>0.164864</td>\n",
+       "      <td>-0.035810</td>\n",
+       "      <td>0.100132</td>\n",
+       "      <td>-0.152945</td>\n",
+       "      <td>-0.148412</td>\n",
+       "      <td>2.68</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>243319</td>\n",
-       "      <td>151884.0</td>\n",
-       "      <td>0.093319</td>\n",
-       "      <td>0.977059</td>\n",
-       "      <td>-0.331880</td>\n",
-       "      <td>-0.624988</td>\n",
-       "      <td>0.888892</td>\n",
-       "      <td>-0.592453</td>\n",
-       "      <td>0.865697</td>\n",
-       "      <td>0.036681</td>\n",
-       "      <td>-0.291863</td>\n",
+       "      <td>240674</td>\n",
+       "      <td>150703.0</td>\n",
+       "      <td>-0.101805</td>\n",
+       "      <td>1.058591</td>\n",
+       "      <td>0.174630</td>\n",
+       "      <td>0.967532</td>\n",
+       "      <td>1.069017</td>\n",
+       "      <td>-0.869342</td>\n",
+       "      <td>1.546421</td>\n",
+       "      <td>-0.471847</td>\n",
+       "      <td>-0.419273</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.283002</td>\n",
-       "      <td>-0.711688</td>\n",
-       "      <td>0.102199</td>\n",
-       "      <td>0.656228</td>\n",
-       "      <td>-0.473777</td>\n",
-       "      <td>0.087180</td>\n",
-       "      <td>0.217483</td>\n",
-       "      <td>0.075203</td>\n",
-       "      <td>3.59</td>\n",
+       "      <td>0.066509</td>\n",
+       "      <td>0.638260</td>\n",
+       "      <td>-0.293054</td>\n",
+       "      <td>-0.012446</td>\n",
+       "      <td>-0.014162</td>\n",
+       "      <td>-0.401708</td>\n",
+       "      <td>0.267594</td>\n",
+       "      <td>0.021102</td>\n",
+       "      <td>14.80</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>8009</td>\n",
-       "      <td>10993.0</td>\n",
-       "      <td>1.308139</td>\n",
-       "      <td>-0.107937</td>\n",
-       "      <td>0.162637</td>\n",
-       "      <td>-0.191696</td>\n",
-       "      <td>0.081348</td>\n",
-       "      <td>0.489166</td>\n",
-       "      <td>-0.549243</td>\n",
-       "      <td>0.040426</td>\n",
-       "      <td>1.559606</td>\n",
+       "      <td>213467</td>\n",
+       "      <td>139269.0</td>\n",
+       "      <td>2.120229</td>\n",
+       "      <td>-0.188559</td>\n",
+       "      <td>-1.859070</td>\n",
+       "      <td>-0.203124</td>\n",
+       "      <td>0.495329</td>\n",
+       "      <td>-0.506593</td>\n",
+       "      <td>0.175342</td>\n",
+       "      <td>-0.143356</td>\n",
+       "      <td>0.654438</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.120407</td>\n",
-       "      <td>-0.123271</td>\n",
-       "      <td>-0.251762</td>\n",
-       "      <td>-1.362802</td>\n",
-       "      <td>0.412063</td>\n",
-       "      <td>1.118680</td>\n",
-       "      <td>-0.095771</td>\n",
-       "      <td>-0.019720</td>\n",
-       "      <td>24.95</td>\n",
+       "      <td>-0.176695</td>\n",
+       "      <td>-0.404786</td>\n",
+       "      <td>0.059672</td>\n",
+       "      <td>-1.116987</td>\n",
+       "      <td>0.107433</td>\n",
+       "      <td>-0.026732</td>\n",
+       "      <td>-0.062180</td>\n",
+       "      <td>-0.086943</td>\n",
+       "      <td>0.00</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4055,30 +3759,30 @@
       ],
       "text/plain": [
        "            Time        V1        V2        V3        V4        V5        V6  \\\n",
-       "16783    28150.0 -1.217577  0.341533 -0.547189 -3.435700  2.068065  2.998467   \n",
-       "282318  170810.0  1.398705 -0.711496 -2.457786  1.102918  0.082091 -1.274653   \n",
-       "133376   80358.0 -1.293951 -0.014951  1.810928 -0.091622  1.610843  1.649785   \n",
-       "243319  151884.0  0.093319  0.977059 -0.331880 -0.624988  0.888892 -0.592453   \n",
-       "8009     10993.0  1.308139 -0.107937  0.162637 -0.191696  0.081348  0.489166   \n",
+       "186521  127145.0  0.077780  0.970511 -0.334307 -0.633618  0.947049 -0.501684   \n",
+       "9457     13993.0  1.085876 -0.048652  1.275049  1.307756 -0.519074  0.827831   \n",
+       "92672    64040.0 -0.894390  0.520338  2.032163 -0.034288  0.746082 -0.447069   \n",
+       "240674  150703.0 -0.101805  1.058591  0.174630  0.967532  1.069017 -0.869342   \n",
+       "213467  139269.0  2.120229 -0.188559 -1.859070 -0.203124  0.495329 -0.506593   \n",
        "\n",
        "              V7        V8        V9  ...       V21       V22       V23  \\\n",
-       "16783   0.075432  1.358111  0.888721  ... -0.169483 -0.643372 -0.059014   \n",
-       "282318  0.751314 -0.407527  0.849234  ...  0.010116 -0.413077 -0.237815   \n",
-       "133376 -0.092683  0.740887 -0.611296  ...  0.037383  0.173010 -0.072245   \n",
-       "243319  0.865697  0.036681 -0.291863  ... -0.283002 -0.711688  0.102199   \n",
-       "8009   -0.549243  0.040426  1.559606  ... -0.120407 -0.123271 -0.251762   \n",
+       "186521  0.861559  0.052578 -0.321685  ... -0.274229 -0.674483  0.109402   \n",
+       "9457   -0.846353  0.325183  1.958550  ... -0.154765 -0.007733 -0.017300   \n",
+       "92672   0.526433  0.015126 -0.735332  ... -0.165533 -0.523333 -0.090716   \n",
+       "240674  1.546421 -0.471847 -0.419273  ...  0.066509  0.638260 -0.293054   \n",
+       "213467  0.175342 -0.143356  0.654438  ... -0.176695 -0.404786  0.059672   \n",
        "\n",
        "             V24       V25       V26       V27       V28  Amount  Class  \n",
-       "16783   0.970979  0.492970 -1.059613  0.221740  0.093697   57.61      0  \n",
-       "282318 -0.274194  0.078540 -0.321235 -0.044917  0.048623  333.77      0  \n",
-       "133376 -1.286169  0.119253  0.430603  0.062277  0.047626   14.49      0  \n",
-       "243319  0.656228 -0.473777  0.087180  0.217483  0.075203    3.59      0  \n",
-       "8009   -1.362802  0.412063  1.118680 -0.095771 -0.019720   24.95      0  \n",
+       "186521  0.601827 -0.480361  0.092184  0.221266  0.075206    4.56      0  \n",
+       "9457   -0.362792  0.326210 -0.415107  0.056283  0.015306   12.99      0  \n",
+       "92672   0.164864 -0.035810  0.100132 -0.152945 -0.148412    2.68      0  \n",
+       "240674 -0.012446 -0.014162 -0.401708  0.267594  0.021102   14.80      0  \n",
+       "213467 -1.116987  0.107433 -0.026732 -0.062180 -0.086943    0.00      0  \n",
        "\n",
        "[5 rows x 31 columns]"
       ]
      },
-     "execution_count": 133,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4091,7 +3795,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -4103,7 +3807,7 @@
        "       'V28', 'Amount', 'Class'], dtype=object)"
       ]
      },
-     "execution_count": 135,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4114,14 +3818,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount']\n",
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n",
       "SMOTE Oversampling selected..\n",
       "Number of Xs and Ys for: SMOTE\n",
       "[(0, 227451), (1, 227451)]\n",
@@ -4134,7 +3838,7 @@
       "()\n",
       "False\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.575659\n",
+      "         Current function value: 0.575227\n",
       "         Iterations 7\n",
       "First model trained using feature number 0 with p value of 0\n",
       "Full X:\n",
@@ -4147,7 +3851,7 @@
       "(454902, 1)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.511984\n",
+      "         Current function value: 0.512057\n",
       "         Iterations 7\n",
       "Features all have p value of 0, using feature number 1\n",
       "i is 2\n",
@@ -4158,7 +3862,7 @@
       "(454902, 2)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.449991\n",
+      "         Current function value: 0.449886\n",
       "         Iterations 8\n",
       "Features all have p value of 0, using feature number 2\n",
       "i is 3\n",
@@ -4169,7 +3873,7 @@
       "(454902, 3)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.421980\n",
+      "         Current function value: 0.421939\n",
       "         Iterations 8\n",
       "Features all have p value of 0, using feature number 3\n",
       "i is 4\n",
@@ -4180,7 +3884,7 @@
       "(454902, 4)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.420646\n",
+      "         Current function value: 0.420662\n",
       "         Iterations 9\n",
       "i is 4\n",
       "j is 5\n",
@@ -4190,7 +3894,7 @@
       "(454902, 4)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.420671\n",
+      "         Current function value: 0.420621\n",
       "         Iterations 8\n",
       "i is 4\n",
       "j is 6\n",
@@ -4200,7 +3904,7 @@
       "(454902, 4)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.415849\n",
+      "         Current function value: 0.415746\n",
       "         Iterations 9\n",
       "Features all have p value of 0, using feature number 6\n",
       "i is 5\n",
@@ -4211,7 +3915,7 @@
       "(454902, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.414867\n",
+      "         Current function value: 0.414780\n",
       "         Iterations 9\n",
       "i is 5\n",
       "j is 5\n",
@@ -4221,7 +3925,7 @@
       "(454902, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.414683\n",
+      "         Current function value: 0.414587\n",
       "         Iterations 9\n",
       "i is 5\n",
       "j is 7\n",
@@ -4231,7 +3935,7 @@
       "(454902, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.415818\n",
+      "         Current function value: 0.415711\n",
       "         Iterations 9\n",
       "i is 5\n",
       "j is 8\n",
@@ -4241,7 +3945,7 @@
       "(454902, 5)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.413082\n",
+      "         Current function value: 0.412989\n",
       "         Iterations 9\n",
       "Features all have p value of 0, using feature number 8\n",
       "i is 6\n",
@@ -4252,7 +3956,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412208\n",
+      "         Current function value: 0.412132\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 5\n",
@@ -4262,7 +3966,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412131\n",
+      "         Current function value: 0.412040\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 7\n",
@@ -4272,7 +3976,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412956\n",
+      "         Current function value: 0.412858\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 9\n",
@@ -4282,7 +3986,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.401105\n",
+      "         Current function value: 0.401061\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 10\n",
@@ -4292,7 +3996,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.405744\n",
+      "         Current function value: 0.405644\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 11\n",
@@ -4302,7 +4006,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.399247\n",
+      "         Current function value: 0.399294\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 12\n",
@@ -4312,7 +4016,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412972\n",
+      "         Current function value: 0.412863\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 13\n",
@@ -4322,7 +4026,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.389202\n",
+      "         Current function value: 0.389119\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 14\n",
@@ -4332,7 +4036,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.413081\n",
+      "         Current function value: 0.412988\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 15\n",
@@ -4342,7 +4046,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409397\n",
+      "         Current function value: 0.409330\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 16\n",
@@ -4352,7 +4056,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409595\n",
+      "         Current function value: 0.409572\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 17\n",
@@ -4362,7 +4066,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412682\n",
+      "         Current function value: 0.412614\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 18\n",
@@ -4372,7 +4076,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.413033\n",
+      "         Current function value: 0.412946\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 19\n",
@@ -4382,7 +4086,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.413021\n",
+      "         Current function value: 0.412929\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 20\n",
@@ -4392,7 +4096,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412455\n",
+      "         Current function value: 0.412366\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 21\n",
@@ -4402,7 +4106,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.413071\n",
+      "         Current function value: 0.412977\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 22\n",
@@ -4412,7 +4116,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.413012\n",
+      "         Current function value: 0.412909\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 23\n",
@@ -4422,7 +4126,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412947\n",
+      "         Current function value: 0.412850\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 24\n",
@@ -4432,7 +4136,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412856\n",
+      "         Current function value: 0.412775\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 25\n",
@@ -4442,7 +4146,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412991\n",
+      "         Current function value: 0.412903\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 26\n",
@@ -4452,7 +4156,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412869\n",
+      "         Current function value: 0.412758\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 27\n",
@@ -4462,7 +4166,7 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.412932\n",
+      "         Current function value: 0.412833\n",
       "         Iterations 9\n",
       "i is 6\n",
       "j is 28\n",
@@ -4472,10 +4176,34 @@
       "(454902, 6)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.377774\n",
+      "         Current function value: 0.377994\n",
       "         Iterations 9\n",
-      "Getting new model with min p-values with 6 variables.\n",
-      "New model trained using feature number 15 with lowest p values of 3.3043879290976254e-256\n",
+      "i is 6\n",
+      "j is 29\n",
+      "Jth_x:\n",
+      "(454902, 1)\n",
+      "Full_x:\n",
+      "(454902, 6)\n",
+      "True\n",
+      "Warning: Maximum number of iterations has been exceeded.\n",
+      "         Current function value: 0.346499\n",
+      "         Iterations: 35\n",
+      "Getting new model with min p-values with 6 variables.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py:512: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  \"Check mle_retvals\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "New model trained using feature number 15 with lowest p values of 8.21550214335162e-255\n",
       "i is 7\n",
       "j is 4\n",
       "Jth_x:\n",
@@ -4484,7 +4212,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409168\n",
+      "         Current function value: 0.409110\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 5\n",
@@ -4494,7 +4222,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408481\n",
+      "         Current function value: 0.408413\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 7\n",
@@ -4504,7 +4232,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409212\n",
+      "         Current function value: 0.409141\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 9\n",
@@ -4514,7 +4242,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.399609\n",
+      "         Current function value: 0.399576\n",
       "         Iterations 10\n",
       "i is 7\n",
       "j is 10\n",
@@ -4524,7 +4252,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.403130\n",
+      "         Current function value: 0.403039\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 11\n",
@@ -4534,8 +4262,8 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.397863\n",
-      "         Iterations 9\n",
+      "         Current function value: 0.397918\n",
+      "         Iterations 10\n",
       "i is 7\n",
       "j is 12\n",
       "Jth_x:\n",
@@ -4544,7 +4272,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409260\n",
+      "         Current function value: 0.409174\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 13\n",
@@ -4554,7 +4282,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.387815\n",
+      "         Current function value: 0.387728\n",
       "         Iterations 10\n",
       "i is 7\n",
       "j is 14\n",
@@ -4564,7 +4292,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409383\n",
+      "         Current function value: 0.409319\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 16\n",
@@ -4574,7 +4302,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408149\n",
+      "         Current function value: 0.408123\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 17\n",
@@ -4584,7 +4312,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409384\n",
+      "         Current function value: 0.409321\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 18\n",
@@ -4594,7 +4322,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409049\n",
+      "         Current function value: 0.408999\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 19\n",
@@ -4602,15 +4330,9 @@
       "(454902, 1)\n",
       "Full_x:\n",
       "(454902, 7)\n",
-      "True\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409380\n",
+      "         Current function value: 0.409313\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 20\n",
@@ -4620,7 +4342,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.408900\n",
+      "         Current function value: 0.408840\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 21\n",
@@ -4630,7 +4352,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409393\n",
+      "         Current function value: 0.409326\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 22\n",
@@ -4640,7 +4362,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409299\n",
+      "         Current function value: 0.409221\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 23\n",
@@ -4650,7 +4372,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409223\n",
+      "         Current function value: 0.409152\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 24\n",
@@ -4660,7 +4382,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409093\n",
+      "         Current function value: 0.409041\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 25\n",
@@ -4670,7 +4392,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409289\n",
+      "         Current function value: 0.409229\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 26\n",
@@ -4680,7 +4402,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409206\n",
+      "         Current function value: 0.409122\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 27\n",
@@ -4690,7 +4412,7 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.409263\n",
+      "         Current function value: 0.409191\n",
       "         Iterations 9\n",
       "i is 7\n",
       "j is 28\n",
@@ -4700,19 +4422,44 @@
       "(454902, 7)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.368317\n",
+      "         Current function value: 0.368584\n",
       "         Iterations 9\n",
-      "Getting new model with min p-values with 7 variables.\n",
-      "New model trained using feature number 28 with lowest p values of 4.8685446526612056e-247\n",
-      "i is 8\n",
-      "j is 4\n",
+      "i is 7\n",
+      "j is 29\n",
       "Jth_x:\n",
       "(454902, 1)\n",
       "Full_x:\n",
-      "(454902, 8)\n",
+      "(454902, 7)\n",
       "True\n",
+      "Warning: Maximum number of iterations has been exceeded.\n",
+      "         Current function value: 0.346465\n",
+      "         Iterations: 35\n",
+      "Getting new model with min p-values with 7 variables.\n",
+      "New model trained using feature number 28 with lowest p values of 9.022727667572669e-241\n",
+      "i is 8\n",
+      "j is 4\n",
+      "Jth_x:\n",
+      "(454902, 1)\n",
+      "Full_x:\n",
+      "(454902, 8)\n",
+      "True"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py:512: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  \"Check mle_retvals\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.345864\n",
+      "         Current function value: 0.346687\n",
       "         Iterations 10\n",
       "Features all have p value of 0, using feature number 4\n",
       "i is 9\n",
@@ -4723,7 +4470,7 @@
       "(454902, 9)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.343719\n",
+      "         Current function value: 0.344718\n",
       "         Iterations 10\n",
       "Features all have p value of 0, using feature number 5\n",
       "i is 10\n",
@@ -4734,7 +4481,7 @@
       "(454902, 10)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.337722\n",
+      "         Current function value: 0.338794\n",
       "         Iterations 10\n",
       "Features all have p value of 0, using feature number 7\n",
       "i is 11\n",
@@ -4745,7 +4492,7 @@
       "(454902, 11)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.289401\n",
+      "         Current function value: 0.291590\n",
       "         Iterations 10\n",
       "i is 11\n",
       "j is 10\n",
@@ -4755,7 +4502,7 @@
       "(454902, 11)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.322335\n",
+      "         Current function value: 0.323632\n",
       "         Iterations 10\n",
       "Features all have p value of 0, using feature number 10\n",
       "i is 12\n",
@@ -4766,7 +4513,7 @@
       "(454902, 12)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.283913\n",
+      "         Current function value: 0.286201\n",
       "         Iterations 10\n",
       "i is 12\n",
       "j is 11\n",
@@ -4776,7 +4523,7 @@
       "(454902, 12)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.303512\n",
+      "         Current function value: 0.305176\n",
       "         Iterations 10\n",
       "i is 12\n",
       "j is 12\n",
@@ -4786,7 +4533,7 @@
       "(454902, 12)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.322334\n",
+      "         Current function value: 0.323631\n",
       "         Iterations 10\n",
       "i is 12\n",
       "j is 13\n",
@@ -4796,7 +4543,7 @@
       "(454902, 12)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.290478\n",
+      "         Current function value: 0.292196\n",
       "         Iterations 10\n",
       "Features all have p value of 0, using feature number 13\n",
       "i is 13\n",
@@ -4807,8 +4554,8 @@
       "(454902, 13)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.270786\n",
-      "         Iterations 11\n",
+      "         Current function value: 0.273086\n",
+      "         Iterations 10\n",
       "i is 13\n",
       "j is 11\n",
       "Jth_x:\n",
@@ -4817,8 +4564,8 @@
       "(454902, 13)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.274586\n",
-      "         Iterations 10\n",
+      "         Current function value: 0.276701\n",
+      "         Iterations 11\n",
       "Features all have p value of 0, using feature number 11\n",
       "i is 14\n",
       "j is 9\n",
@@ -4828,7 +4575,7 @@
       "(454902, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.252616\n",
+      "         Current function value: 0.255552\n",
       "         Iterations 11\n",
       "i is 14\n",
       "j is 12\n",
@@ -4838,8 +4585,8 @@
       "(454902, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.274419\n",
-      "         Iterations 10\n",
+      "         Current function value: 0.276572\n",
+      "         Iterations 11\n",
       "i is 14\n",
       "j is 14\n",
       "Jth_x:\n",
@@ -4848,8 +4595,8 @@
       "(454902, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.274452\n",
-      "         Iterations 10\n",
+      "         Current function value: 0.276573\n",
+      "         Iterations 11\n",
       "i is 14\n",
       "j is 16\n",
       "Jth_x:\n",
@@ -4858,7 +4605,7 @@
       "(454902, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.269045\n",
+      "         Current function value: 0.271407\n",
       "         Iterations 12\n",
       "i is 14\n",
       "j is 17\n",
@@ -4868,8 +4615,8 @@
       "(454902, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.274365\n",
-      "         Iterations 10\n",
+      "         Current function value: 0.276501\n",
+      "         Iterations 11\n",
       "i is 14\n",
       "j is 18\n",
       "Jth_x:\n",
@@ -4878,8 +4625,8 @@
       "(454902, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.273925\n",
-      "         Iterations 10\n",
+      "         Current function value: 0.276051\n",
+      "         Iterations 11\n",
       "i is 14\n",
       "j is 19\n",
       "Jth_x:\n",
@@ -4888,7 +4635,7 @@
       "(454902, 14)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.260399\n",
+      "         Current function value: 0.262932\n",
       "         Iterations 11\n",
       "Features all have p value of 0, using feature number 19\n",
       "i is 15\n",
@@ -4899,7 +4646,7 @@
       "(454902, 15)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.235619\n",
+      "         Current function value: 0.238806\n",
       "         Iterations 11\n",
       "Features all have p value of 0, using feature number 9\n",
       "i is 16\n",
@@ -4910,7 +4657,7 @@
       "(454902, 16)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.235597\n",
+      "         Current function value: 0.238798\n",
       "         Iterations 11\n",
       "i is 16\n",
       "j is 14\n",
@@ -4920,7 +4667,7 @@
       "(454902, 16)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.235577\n",
+      "         Current function value: 0.238767\n",
       "         Iterations 11\n",
       "i is 16\n",
       "j is 16\n",
@@ -4930,7 +4677,7 @@
       "(454902, 16)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.221423\n",
+      "         Current function value: 0.224329\n",
       "         Iterations 13\n",
       "Features all have p value of 0, using feature number 16\n",
       "i is 17\n",
@@ -4941,7 +4688,7 @@
       "(454902, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.221390\n",
+      "         Current function value: 0.224312\n",
       "         Iterations 13\n",
       "i is 17\n",
       "j is 14\n",
@@ -4951,7 +4698,7 @@
       "(454902, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.221296\n",
+      "         Current function value: 0.224213\n",
       "         Iterations 13\n",
       "i is 17\n",
       "j is 17\n",
@@ -4961,7 +4708,7 @@
       "(454902, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.218277\n",
+      "         Current function value: 0.220808\n",
       "         Iterations 14\n",
       "i is 17\n",
       "j is 18\n",
@@ -4971,7 +4718,7 @@
       "(454902, 17)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.219465\n",
+      "         Current function value: 0.222467\n",
       "         Iterations 13\n",
       "Features all have p value of 0, using feature number 18\n",
       "i is 18\n",
@@ -4982,7 +4729,7 @@
       "(454902, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.219452\n",
+      "         Current function value: 0.222463\n",
       "         Iterations 13\n",
       "i is 18\n",
       "j is 14\n",
@@ -4992,7 +4739,7 @@
       "(454902, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.219423\n",
+      "         Current function value: 0.222428\n",
       "         Iterations 13\n",
       "i is 18\n",
       "j is 17\n",
@@ -5002,7 +4749,7 @@
       "(454902, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.217393\n",
+      "         Current function value: 0.220081\n",
       "         Iterations 14\n",
       "i is 18\n",
       "j is 20\n",
@@ -5012,7 +4759,7 @@
       "(454902, 18)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.207206\n",
+      "         Current function value: 0.210426\n",
       "         Iterations 13\n",
       "Features all have p value of 0, using feature number 20\n",
       "i is 19\n",
@@ -5023,7 +4770,7 @@
       "(454902, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.207179\n",
+      "         Current function value: 0.210413\n",
       "         Iterations 13\n",
       "i is 19\n",
       "j is 14\n",
@@ -5033,7 +4780,7 @@
       "(454902, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.207139\n",
+      "         Current function value: 0.210360\n",
       "         Iterations 13\n",
       "i is 19\n",
       "j is 17\n",
@@ -5043,7 +4790,7 @@
       "(454902, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.202662\n",
+      "         Current function value: 0.205460\n",
       "         Iterations 15\n",
       "i is 19\n",
       "j is 21\n",
@@ -5053,7 +4800,7 @@
       "(454902, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.205661\n",
+      "         Current function value: 0.208885\n",
       "         Iterations 13\n",
       "i is 19\n",
       "j is 22\n",
@@ -5063,7 +4810,7 @@
       "(454902, 19)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.188988\n",
+      "         Current function value: 0.190005\n",
       "         Iterations 14\n",
       "Features all have p value of 0, using feature number 22\n",
       "i is 20\n",
@@ -5074,14 +4821,8 @@
       "(454902, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.188918\n",
-      "         Iterations 14\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "         Current function value: 0.189952\n",
+      "         Iterations 14\n",
       "i is 20\n",
       "j is 14\n",
       "Jth_x:\n",
@@ -5090,7 +4831,7 @@
       "(454902, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.188982\n",
+      "         Current function value: 0.189995\n",
       "         Iterations 14\n",
       "i is 20\n",
       "j is 17\n",
@@ -5100,7 +4841,7 @@
       "(454902, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.186851\n",
+      "         Current function value: 0.188009\n",
       "         Iterations 16\n",
       "i is 20\n",
       "j is 21\n",
@@ -5110,7 +4851,7 @@
       "(454902, 20)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.185092\n",
+      "         Current function value: 0.186116\n",
       "         Iterations 14\n",
       "Features all have p value of 0, using feature number 21\n",
       "i is 21\n",
@@ -5121,7 +4862,7 @@
       "(454902, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.185051\n",
+      "         Current function value: 0.186088\n",
       "         Iterations 14\n",
       "i is 21\n",
       "j is 14\n",
@@ -5131,7 +4872,7 @@
       "(454902, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.185081\n",
+      "         Current function value: 0.186101\n",
       "         Iterations 14\n",
       "i is 21\n",
       "j is 17\n",
@@ -5141,7 +4882,7 @@
       "(454902, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.183236\n",
+      "         Current function value: 0.184392\n",
       "         Iterations 15\n",
       "i is 21\n",
       "j is 23\n",
@@ -5151,7 +4892,7 @@
       "(454902, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.185088\n",
+      "         Current function value: 0.186112\n",
       "         Iterations 14\n",
       "i is 21\n",
       "j is 24\n",
@@ -5161,7 +4902,7 @@
       "(454902, 21)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.179446\n",
+      "         Current function value: 0.180247\n",
       "         Iterations 14\n",
       "Features all have p value of 0, using feature number 24\n",
       "i is 22\n",
@@ -5172,7 +4913,7 @@
       "(454902, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.179426\n",
+      "         Current function value: 0.180236\n",
       "         Iterations 14\n",
       "i is 22\n",
       "j is 14\n",
@@ -5182,8 +4923,14 @@
       "(454902, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.179424\n",
-      "         Iterations 14\n",
+      "         Current function value: 0.180219\n",
+      "         Iterations 14\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "i is 22\n",
       "j is 17\n",
       "Jth_x:\n",
@@ -5192,7 +4939,7 @@
       "(454902, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.178322\n",
+      "         Current function value: 0.179266\n",
       "         Iterations 16\n",
       "i is 22\n",
       "j is 23\n",
@@ -5202,7 +4949,7 @@
       "(454902, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.179443\n",
+      "         Current function value: 0.180244\n",
       "         Iterations 14\n",
       "i is 22\n",
       "j is 25\n",
@@ -5212,7 +4959,7 @@
       "(454902, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.178977\n",
+      "         Current function value: 0.179832\n",
       "         Iterations 14\n",
       "i is 22\n",
       "j is 26\n",
@@ -5222,7 +4969,7 @@
       "(454902, 22)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176402\n",
+      "         Current function value: 0.177032\n",
       "         Iterations 14\n",
       "Features all have p value of 0, using feature number 26\n",
       "i is 23\n",
@@ -5233,7 +4980,7 @@
       "(454902, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176377\n",
+      "         Current function value: 0.177017\n",
       "         Iterations 14\n",
       "i is 23\n",
       "j is 14\n",
@@ -5243,7 +4990,7 @@
       "(454902, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176361\n",
+      "         Current function value: 0.176982\n",
       "         Iterations 14\n",
       "i is 23\n",
       "j is 17\n",
@@ -5253,7 +5000,7 @@
       "(454902, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.175375\n",
+      "         Current function value: 0.176130\n",
       "         Iterations 16\n",
       "i is 23\n",
       "j is 23\n",
@@ -5263,7 +5010,7 @@
       "(454902, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176402\n",
+      "         Current function value: 0.177032\n",
       "         Iterations 14\n",
       "i is 23\n",
       "j is 25\n",
@@ -5273,7 +5020,7 @@
       "(454902, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.176116\n",
+      "         Current function value: 0.176796\n",
       "         Iterations 14\n",
       "i is 23\n",
       "j is 27\n",
@@ -5283,7 +5030,7 @@
       "(454902, 23)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173919\n",
+      "         Current function value: 0.174490\n",
       "         Iterations 15\n",
       "Features all have p value of 0, using feature number 27\n",
       "i is 24\n",
@@ -5294,7 +5041,7 @@
       "(454902, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173904\n",
+      "         Current function value: 0.174483\n",
       "         Iterations 15\n",
       "i is 24\n",
       "j is 14\n",
@@ -5304,7 +5051,7 @@
       "(454902, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173892\n",
+      "         Current function value: 0.174456\n",
       "         Iterations 15\n",
       "i is 24\n",
       "j is 17\n",
@@ -5314,7 +5061,7 @@
       "(454902, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.172708\n",
+      "         Current function value: 0.173430\n",
       "         Iterations 16\n",
       "i is 24\n",
       "j is 23\n",
@@ -5324,7 +5071,7 @@
       "(454902, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173918\n",
+      "         Current function value: 0.174489\n",
       "         Iterations 15\n",
       "i is 24\n",
       "j is 25\n",
@@ -5334,120 +5081,49 @@
       "(454902, 24)\n",
       "True\n",
       "Optimization terminated successfully.\n",
-      "         Current function value: 0.173601\n",
-      "         Iterations 14\n",
-      "Getting new model with min p-values with 24 variables.\n",
-      "New model trained using feature number 17 with lowest p values of 3.498035268213619e-200\n",
-      "i is 25\n",
-      "j is 12\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 25)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172690\n",
-      "         Iterations 16\n",
-      "i is 25\n",
-      "j is 14\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 25)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172702\n",
-      "         Iterations 16\n",
-      "i is 25\n",
-      "j is 23\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 25)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172703\n",
-      "         Iterations 16\n",
-      "i is 25\n",
-      "j is 25\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 25)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172413\n",
-      "         Iterations 16\n",
-      "Getting new model with min p-values with 25 variables.\n",
-      "New model trained using feature number 25 with lowest p values of 5.223961749743435e-59\n",
-      "i is 26\n",
-      "j is 12\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 26)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172393\n",
-      "         Iterations 16\n",
-      "i is 26\n",
-      "j is 14\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 26)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172406\n",
-      "         Iterations 16\n",
-      "i is 26\n",
-      "j is 23\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 26)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172410\n",
-      "         Iterations 16\n",
-      "Getting new model with min p-values with 26 variables.\n",
-      "New model trained using feature number 12 with lowest p values of 1.854060501607652e-05\n",
-      "i is 27\n",
-      "j is 14\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 27)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172384\n",
-      "         Iterations 16\n",
-      "i is 27\n",
-      "j is 23\n",
-      "Jth_x:\n",
-      "(454902, 1)\n",
-      "Full_x:\n",
-      "(454902, 27)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172390\n",
-      "         Iterations 16\n",
-      "Getting new model with min p-values with 27 variables.\n",
-      "New model trained using feature number 14 with lowest p values of 0.00560654338986908\n",
-      "i is 28\n",
-      "j is 23\n",
+      "         Current function value: 0.174223\n",
+      "         Iterations 15\n",
+      "i is 24\n",
+      "j is 29\n",
       "Jth_x:\n",
       "(454902, 1)\n",
       "Full_x:\n",
-      "(454902, 28)\n",
-      "True\n",
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.172382\n",
-      "         Iterations 16\n",
-      "Getting new model with min p-values with 28 variables.\n",
-      "TERMINATING AS best model trained using feature number 23 with high p value of 0.15750441461367337 above significance level: 0.05\n",
-      "Final variables selected:\n",
-      "['V1', 'V2', 'V3', 'V4', 'V7', 'V9', 'V16', 'Amount', 'V5', 'V6', 'V8', 'V11', 'V14', 'V12', 'V20', 'V10', 'V17', 'V19', 'V21', 'V23', 'V22', 'V25', 'V27', 'V28', 'V18', 'V26', 'V13', 'V15']\n"
+      "(454902, 24)\n",
+      "True\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\discrete\\discrete_model.py:1789: RuntimeWarning: divide by zero encountered in log\n",
+      "  return np.sum(np.log(self.cdf(q*np.dot(X,params))))\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Warning: Maximum number of iterations has been exceeded.\n",
+      "         Current function value: inf\n",
+      "         Iterations: 35\n"
+     ]
+    },
+    {
+     "ename": "LinAlgError",
+     "evalue": "Singular matrix",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mLinAlgError\u001b[0m                               Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-25-a58734844a14>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfinalcolstouse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mforwardselection\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m0.2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'Class'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'Time'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'smote'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[1;32m<ipython-input-22-1d76b6a05ec9>\u001b[0m in \u001b[0;36mforwardselection\u001b[1;34m(df, testratio, response, removelist, sampling)\u001b[0m\n\u001b[0;32m     85\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     86\u001b[0m                     \u001b[0miter_x\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mjth_x\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 87\u001b[1;33m                 \u001b[0mregressor_OLS\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mLogit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my_train\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0miter_x\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     88\u001b[0m                 \u001b[1;31m# print(\"p value for column number: \" + str(i))\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     89\u001b[0m                 \u001b[1;31m# print(regressor_OLS.pvalues[0])\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\statsmodels\\discrete\\discrete_model.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, start_params, method, maxiter, full_output, disp, callback, **kwargs)\u001b[0m\n\u001b[0;32m   1900\u001b[0m         bnryfit = super(Logit, self).fit(start_params=start_params,\n\u001b[0;32m   1901\u001b[0m                 \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmaxiter\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmaxiter\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfull_output\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfull_output\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1902\u001b[1;33m                 disp=disp, callback=callback, **kwargs)\n\u001b[0m\u001b[0;32m   1903\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1904\u001b[0m         \u001b[0mdiscretefit\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mLogitResults\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbnryfit\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\statsmodels\\discrete\\discrete_model.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, start_params, method, maxiter, full_output, disp, callback, **kwargs)\u001b[0m\n\u001b[0;32m    215\u001b[0m         mlefit = super(DiscreteModel, self).fit(start_params=start_params,\n\u001b[0;32m    216\u001b[0m                 \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmaxiter\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmaxiter\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfull_output\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfull_output\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 217\u001b[1;33m                 disp=disp, callback=callback, **kwargs)\n\u001b[0m\u001b[0;32m    218\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    219\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mmlefit\u001b[0m \u001b[1;31m# up to subclasses to wrap results\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, start_params, method, maxiter, full_output, disp, fargs, callback, retall, skip_hessian, **kwargs)\u001b[0m\n\u001b[0;32m    475\u001b[0m             \u001b[0mHinv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcov_params_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mxopt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mretvals\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    476\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mmethod\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'newton'\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mfull_output\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 477\u001b[1;33m             \u001b[0mHinv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mretvals\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Hessian'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mnobs\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    478\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mskip_hessian\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    479\u001b[0m             \u001b[0mH\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhessian\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mxopt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\numpy\\linalg\\linalg.py\u001b[0m in \u001b[0;36minv\u001b[1;34m(a)\u001b[0m\n\u001b[0;32m    549\u001b[0m     \u001b[0msignature\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'D->D'\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misComplexType\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32melse\u001b[0m \u001b[1;34m'd->d'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    550\u001b[0m     \u001b[0mextobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_linalg_error_extobj\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_raise_linalgerror_singular\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 551\u001b[1;33m     \u001b[0mainv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_umath_linalg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msignature\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msignature\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mextobj\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mextobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    552\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mwrap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mainv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult_t\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    553\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\numpy\\linalg\\linalg.py\u001b[0m in \u001b[0;36m_raise_linalgerror_singular\u001b[1;34m(err, flag)\u001b[0m\n\u001b[0;32m     95\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     96\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_raise_linalgerror_singular\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0merr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mflag\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 97\u001b[1;33m     \u001b[1;32mraise\u001b[0m \u001b[0mLinAlgError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Singular matrix\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     98\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     99\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_raise_linalgerror_nonposdef\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0merr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mflag\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mLinAlgError\u001b[0m: Singular matrix"
      ]
     }
    ],
@@ -5455,254 +5131,105 @@
     "finalcolstouse = forwardselection(df,0.2,'Class','Time','smote')"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Forward Selection without comments and with feature name chosen"
+    "# Forward Selection Failed\n",
+    "## Could be because after oversampling, there is high collinearity and relation between features, leading to singular matrix calc"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Slight improvement to previous code by having more informative print text on what feature name is chosen instead of it's number\n",
-    "### Reduction of excessive comments printed out by the function"
+    "# Backward Elimination Model"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import operator\n",
-    "from collections import Counter\n",
-    "from imblearn.over_sampling import RandomOverSampler\n",
-    "from sklearn.model_selection import train_test_split\n",
-    "from imblearn.over_sampling import SMOTE\n",
-    "from imblearn.over_sampling import ADASYN\n",
     "import statsmodels.discrete.discrete_model as sm\n",
-    "\n",
-    "def forwardselection(df,testratio,response,removelist,sampling):\n",
-    "    if isinstance(removelist, str) == True:\n",
-    "        temp_str = removelist\n",
-    "        internallist = []\n",
-    "        internallist.append(temp_str)\n",
-    "    else:\n",
-    "        internallist = removelist\n",
-    "    X = df.drop(internallist, axis=1)\n",
-    "    y = df[response]\n",
-    "    # Get list of column names\n",
-    "    colnames = list(X.columns.values)\n",
-    "    print(colnames)\n",
+    "def backwardElimination(df , sl, columns, response, sampling):\n",
+    "    df = pd.concat([df[columns],df[response]], axis=1)\n",
+    "    x = df[columns].values\n",
+    "    Y = df[response].values\n",
     "    \n",
-    "    # Start of train-test split and oversampling (if relevant)\n",
-    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=testratio, random_state=42)\n",
+    "    # Sampling if required\n",
     "    if sampling.lower() == 'smote':\n",
     "        print(\"SMOTE Oversampling selected..\")\n",
-    "        X_train, y_train = SMOTE().fit_resample(X_train, y_train)\n",
+    "        x, Y = SMOTE().fit_resample(x, Y)\n",
     "        # train test split keeps X_test and y_test as pd series, oversampler converts X_train, y_train to numpy\n",
     "        # Convert all to numpy array for XGBoost to not have bugs\n",
-    "        X_test = X_test.values\n",
-    "        y_test = y_test.values\n",
     "        print(\"Number of Xs and Ys for: \" + str(sampling.upper()))\n",
-    "        print(sorted(Counter(y_train).items()))\n",
+    "        print(sorted(Counter(Y).items()))\n",
     "        print(\"Oversampling is complete!\")\n",
     "    elif sampling.lower() == 'naive':\n",
     "        print(\"Naive Oversampling selected..\")\n",
     "        ros = RandomOverSampler(random_state=42)\n",
-    "        X_train, y_train = ros.fit_resample(X_train, y_train)\n",
-    "        # train test split keeps X_test and y_test as pd series, oversampler converts X_train, y_train to numpy\n",
-    "        # Convert all to numpy array for XGBoost to not have bugs\n",
-    "        X_test = X_test.values\n",
-    "        y_test = y_test.values\n",
+    "        x, Y = ros.fit_resample(x, Y)\n",
     "        print(\"Number of Xs and Ys for: \" + str(sampling.upper()))\n",
-    "        print(sorted(Counter(y_train).items()))\n",
+    "        print(sorted(Counter(Y).items()))\n",
     "        print(\"Oversampling is complete!\")\n",
-    "\n",
-    "\n",
-    "    # Total features to select = k\n",
-    "    # In each iteration, the current set of n features is concatenated with a new feature not inside current set\n",
-    "    # It is then sent for training with the logistic regression\n",
-    "    # The model performance for each feature + current features is evaluated by its highest p value (worst feature)\n",
-    "    # All highest p values of all feature addition to n features (k-n iterations) are put into a dictionary\n",
-    "    # Next, the lowest p value out of all the iterations (for n features + 1) is chosen for evaluation\n",
-    "    # Set significance level, which is compared to the lowest p value of the best model in the current training iteration\n",
-    "    # If best model in current training iteration of n vars has any vars with p value > sig level, then the model training stops\n",
-    "    # Because all the different models are worse or equally bad as the current best model, we can terminate selection process\n",
-    "    # If not, repeat this iteration with now n+1 features and k-n-1 iterations\n",
-    "    sig_level = 0.05\n",
-    "\n",
-    "    maxcolsnum = X_train.shape[1]\n",
-    "    full_x = np.array(False)\n",
-    "    allowed_nums = {}\n",
-    "    for i in range(maxcolsnum):\n",
-    "        allowed_nums[i] = True\n",
-    "    actual_nums = []\n",
-    "    actual_vars = []\n",
-    "    terminate_early = False\n",
-    "    y = y_train\n",
-    "    for i in range(maxcolsnum):\n",
-    "        # Reset boolean and pval_list\n",
-    "        terminate_early = False\n",
-    "        pval_list = {}\n",
-    "        for j in range(maxcolsnum):\n",
-    "            if allowed_nums[j] == True:\n",
-    "                # Need to reshape to single column instead of a long array for concating properly\n",
-    "                jth_x = X_train[:,j].reshape(-1,1)\n",
-    "                if full_x.any():\n",
-    "                    iter_x = np.concatenate((full_x, jth_x), axis=1)\n",
-    "                else:\n",
-    "                    iter_x = jth_x\n",
-    "                regressor_OLS = sm.Logit(y_train, iter_x).fit(disp=0)\n",
-    "                pval_list[j] = max(regressor_OLS.pvalues)\n",
-    "                # Special condition where all the features have p values of 0, directly use these variables for training\n",
-    "                if max(regressor_OLS.pvalues) == 0:\n",
-    "                    if full_x.any():\n",
-    "                        full_x = np.concatenate((full_x, jth_x), axis=1)\n",
-    "                        allowed_nums[j] = False\n",
-    "                        actual_nums.append(j)\n",
-    "                        print(\"Features all have p value of 0, using feature: [\" + str(colnames[j]) + \"]\")\n",
-    "                    else:\n",
-    "                        full_x = jth_x\n",
-    "                        allowed_nums[j] = False\n",
-    "                        actual_nums.append(j)\n",
-    "                        print(\"First model trained using feature: [\" + str(colnames[j]) + \"] with p value of 0\")\n",
-    "                    terminate_early = True\n",
-    "                    break\n",
-    "            else:\n",
-    "                continue\n",
-    "        if i > 0 and terminate_early == False:\n",
-    "            print(\"Building new model with lowest p-values with \" + str(len(actual_nums)) + \" variables.\")\n",
-    "            max_pval_col = min(pval_list.items(), key=operator.itemgetter(1))[0]\n",
-    "            max_pval = pval_list[max_pval_col]\n",
-    "            # Need to reshape to single column instead of a long array for concating properly\n",
-    "            jth_x = X_train[:,max_pval_col].reshape(-1,1)\n",
-    "            if max_pval < sig_level:\n",
-    "                if full_x.any():\n",
-    "                    full_x = np.concatenate((full_x, jth_x), axis=1)\n",
-    "                    allowed_nums[max_pval_col] = False\n",
-    "                    actual_nums.append(max_pval_col)\n",
-    "                    print(\"New model trained using feature: [\" + str(colnames[max_pval_col]) + \"] with lowest p values of \" + str(max_pval))\n",
-    "                else:\n",
-    "                    full_x = jth_x\n",
-    "                    allowed_nums[max_pval_col] = False\n",
-    "                    actual_nums.append(max_pval_col)\n",
-    "                    print(\"First model trained using feature: [\" + str(colnames[max_pval_col]) + \"] with lowest p values of \" + str(max_pval))\n",
-    "            else:\n",
-    "                print(\"TERMINATING AS best model trained using feature: [\" + str(colnames[max_pval_col]) + \"] with high p value of \" + str(max_pval) + \" above significance level: \" + str(sig_level))\n",
-    "                break\n",
-    "\n",
-    "\n",
-    "    for k in actual_nums:\n",
-    "        actual_vars.append(colnames[k])\n",
-    "    print('Final variables selected:')\n",
-    "    print(actual_vars)\n",
     "    \n",
-    "    return actual_vars"
+    "    numVars = len(x[0]) # Get length of a row for num of vars\n",
+    "    for i in range(0, numVars):\n",
+    "        sm_Logit = sm.Logit(Y, x).fit() \n",
+    "        # for loop to fit current set of all vars in x and response Y\n",
+    "        # As loop goes on, x gets smaller as columns are deleted, and columns keeping track of col names also edited\n",
+    "        maxVar = max(sm_Logit.pvalues).astype(float)\n",
+    "        print('Regression model retrained with ' + str(numVars) + ' variables.')\n",
+    "        print('Max p value for a feature is: ' + str(maxVar))\n",
+    "        # get max p value and if its more than sig level, start deleting jth column\n",
+    "        # Since columns are getting deleted and x gets smaller, we need to update columns keeping track of column names\n",
+    "        # Hence the only way to ensure the deletion of right column\n",
+    "        # is to check the max p value with the current pvalues[j] in regression model\n",
+    "        # if they are same, then jth column safe to delete\n",
+    "        if maxVar > sl:\n",
+    "            print('Max p value > ' + str(sl) + ', feature will be removed.')\n",
+    "            for j in range(0, numVars - i):\n",
+    "                if (sm_Logit.pvalues[j].astype(float) == maxVar):\n",
+    "                    print(str(j) + 'th column deleted: ' + str(columns[j]))\n",
+    "                    x = np.delete(x, j, 1)\n",
+    "                    columns = np.delete(columns, j)\n",
+    "                    numVars -= 1\n",
+    "        else:\n",
+    "            print('All p values are above ' + str(sl) + '. Terminating model training')\n",
+    "            print('p values list: ' + str(sm_Logit.pvalues))\n",
+    "            break\n",
+    "    \n",
+    "    # Only in case df needs to be output\n",
+    "    # df = pd.concat([pd.DataFrame(x, columns=columns), df[response]], axis=1)\n",
+    "    print(sm_Logit.summary())\n",
+    "    return columns # Return x data and list of columns"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
-   "metadata": {
-    "scrolled": false
-   },
+   "execution_count": 52,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount']\n",
-      "Naive Oversampling selected..\n",
-      "Number of Xs and Ys for: NAIVE\n",
-      "[(0, 255880), (1, 255880)]\n",
-      "Oversampling is complete!\n",
-      "First model trained using feature: [V1] with p value of 0\n",
-      "Features all have p value of 0, using feature: [V2]\n",
-      "Features all have p value of 0, using feature: [V3]\n",
-      "Features all have p value of 0, using feature: [V4]\n",
-      "Features all have p value of 0, using feature: [V6]\n",
-      "Features all have p value of 0, using feature: [V7]\n",
-      "Features all have p value of 0, using feature: [V17]\n",
-      "Building new model with lowest p-values with 7 variables.\n",
-      "New model trained using feature: [V9] with lowest p values of 1.3499052620827247e-291\n",
-      "Building new model with lowest p-values with 8 variables.\n",
-      "New model trained using feature: [V11] with lowest p values of 7.468764810312311e-186\n",
-      "Building new model with lowest p-values with 9 variables.\n",
-      "New model trained using feature: [V8] with lowest p values of 1.7557655661627995e-134\n",
-      "Building new model with lowest p-values with 10 variables.\n",
-      "New model trained using feature: [V16] with lowest p values of 2.025681486168209e-111\n",
-      "Building new model with lowest p-values with 11 variables.\n",
-      "New model trained using feature: [V19] with lowest p values of 5.369924262646178e-88\n",
-      "Building new model with lowest p-values with 12 variables.\n",
-      "New model trained using feature: [V10] with lowest p values of 1.7291020174766805e-66\n",
-      "Building new model with lowest p-values with 13 variables.\n",
-      "New model trained using feature: [Amount] with lowest p values of 2.8652322063445345e-133\n",
-      "Building new model with lowest p-values with 14 variables.\n",
-      "New model trained using feature: [V20] with lowest p values of 3.224049638313465e-228\n",
-      "Building new model with lowest p-values with 15 variables.\n",
-      "New model trained using feature: [V12] with lowest p values of 3.1094354925846875e-265\n",
-      "Building new model with lowest p-values with 16 variables.\n",
-      "New model trained using feature: [V27] with lowest p values of 6.177133414790537e-293\n",
-      "Building new model with lowest p-values with 17 variables.\n",
-      "New model trained using feature: [V21] with lowest p values of 1.9789072567592236e-259\n",
-      "Building new model with lowest p-values with 18 variables.\n",
-      "New model trained using feature: [V22] with lowest p values of 1.3134325689319603e-257\n",
-      "Building new model with lowest p-values with 19 variables.\n",
-      "New model trained using feature: [V23] with lowest p values of 1.275919205059183e-207\n",
-      "Building new model with lowest p-values with 20 variables.\n",
-      "New model trained using feature: [V25] with lowest p values of 1.2099032360079392e-214\n",
-      "Building new model with lowest p-values with 21 variables.\n",
-      "New model trained using feature: [V14] with lowest p values of 6.771657419998585e-201\n",
-      "Features all have p value of 0, using feature: [V5]\n",
-      "Features all have p value of 0, using feature: [V28]\n",
-      "Building new model with lowest p-values with 24 variables.\n",
-      "New model trained using feature: [V26] with lowest p values of 3.6214870764610725e-139\n",
-      "Building new model with lowest p-values with 25 variables.\n",
-      "New model trained using feature: [V15] with lowest p values of 1.8987394782697368e-63\n",
-      "Building new model with lowest p-values with 26 variables.\n",
-      "New model trained using feature: [V24] with lowest p values of 3.634583487921335e-39\n",
-      "Building new model with lowest p-values with 27 variables.\n",
-      "New model trained using feature: [V13] with lowest p values of 1.7532606179068094e-12\n",
-      "Building new model with lowest p-values with 28 variables.\n",
-      "New model trained using feature: [V18] with lowest p values of 6.67651993764899e-08\n",
-      "Final variables selected:\n",
-      "['V1', 'V2', 'V3', 'V4', 'V6', 'V7', 'V17', 'V9', 'V11', 'V8', 'V16', 'V19', 'V10', 'Amount', 'V20', 'V12', 'V27', 'V21', 'V22', 'V23', 'V25', 'V14', 'V5', 'V28', 'V26', 'V15', 'V24', 'V13', 'V18']\n"
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount']\n"
      ]
     }
    ],
    "source": [
-    "finalcolstouse = forwardselection(df,0.1,'Class','Time','naive')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### After variables that are deem significant are selected based on forward selection of logistic regression, they can be sent into the model pipeline for model evaluation"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Use existing model pipeline"
+    "allfeatures = list(df.columns.values)\n",
+    "allfeatures.remove('Class')\n",
+    "allfeatures.remove('Time')\n",
+    "print(allfeatures)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
@@ -5900,7 +5427,7 @@
        "[5 rows x 31 columns]"
       ]
      },
-     "execution_count": 158,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5911,195 +5438,1244 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "finalcolstouse = ['V1', 'V2', 'V3', 'V4', 'V6', 'V7', 'V17', 'V9', 'V11', 'V8', 'V16', 'V19', 'V10', 'Amount', 'V20', 'V12', 'V27', 'V21', 'V22', 'V23', 'V25', 'V14', 'V5', 'V28', 'V26', 'V15', 'V24', 'V13', 'V18']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "D:\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:111: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Naive Oversampling selected..\n",
+      "Number of Xs and Ys for: NAIVE\n",
+      "[(0, 284315), (1, 284315)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.024964\tvalidation_1-error:0.011025\n",
-      "[5]\tvalidation_0-error:0.016786\tvalidation_1-error:0.007321\n",
-      "[10]\tvalidation_0-error:0.009457\tvalidation_1-error:0.005003\n",
-      "[15]\tvalidation_0-error:0.006373\tvalidation_1-error:0.003652\n",
-      "[20]\tvalidation_0-error:0.00115\tvalidation_1-error:0.002949\n",
-      "[25]\tvalidation_0-error:0.000873\tvalidation_1-error:0.002458\n",
-      "[30]\tvalidation_0-error:0.000653\tvalidation_1-error:0.001949\n",
-      "[35]\tvalidation_0-error:0.000523\tvalidation_1-error:0.00165\n",
-      "[40]\tvalidation_0-error:0.000444\tvalidation_1-error:0.001475\n",
-      "[45]\tvalidation_0-error:0.000393\tvalidation_1-error:0.001352\n",
-      "[50]\tvalidation_0-error:0.000339\tvalidation_1-error:0.001211\n",
-      "[55]\tvalidation_0-error:0.000314\tvalidation_1-error:0.001159\n",
-      "[60]\tvalidation_0-error:0.000275\tvalidation_1-error:0.001036\n",
-      "[65]\tvalidation_0-error:0.000244\tvalidation_1-error:0.00093\n",
-      "[70]\tvalidation_0-error:0.000167\tvalidation_1-error:0.000737\n",
-      "[75]\tvalidation_0-error:0.00013\tvalidation_1-error:0.00072\n",
-      "[80]\tvalidation_0-error:0.000103\tvalidation_1-error:0.000667\n",
-      "[85]\tvalidation_0-error:8.4e-05\tvalidation_1-error:0.000614\n",
-      "[90]\tvalidation_0-error:7.3e-05\tvalidation_1-error:0.000614\n",
-      "[95]\tvalidation_0-error:7.7e-05\tvalidation_1-error:0.000597\n",
-      "[99]\tvalidation_0-error:6.8e-05\tvalidation_1-error:0.000597\n",
-      "[[56854    14]\n",
-      " [   20    74]]\n"
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.212561\n",
+      "         Iterations 14\n",
+      "Regression model retrained with 29 variables.\n",
+      "Max p value for a feature is: 0.20333745292347039\n",
+      "Max p value > 0.05, feature will be removed.\n",
+      "17th column deleted: V18\n",
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.212563\n",
+      "         Iterations 13\n",
+      "Regression model retrained with 28 variables.\n",
+      "Max p value for a feature is: 7.846441999162881e-52\n",
+      "All p values are above 0.05. Terminating model training\n",
+      "p values list: [0.00000000e+000 0.00000000e+000 0.00000000e+000 0.00000000e+000\n",
+      " 0.00000000e+000 0.00000000e+000 0.00000000e+000 0.00000000e+000\n",
+      " 0.00000000e+000 0.00000000e+000 0.00000000e+000 0.00000000e+000\n",
+      " 1.29758484e-124 0.00000000e+000 5.32212829e-070 0.00000000e+000\n",
+      " 0.00000000e+000 0.00000000e+000 0.00000000e+000 0.00000000e+000\n",
+      " 0.00000000e+000 0.00000000e+000 7.84644200e-052 0.00000000e+000\n",
+      " 1.16923494e-186 0.00000000e+000 0.00000000e+000 0.00000000e+000]\n",
+      "                           Logit Regression Results                           \n",
+      "==============================================================================\n",
+      "Dep. Variable:                      y   No. Observations:               568630\n",
+      "Model:                          Logit   Df Residuals:                   568602\n",
+      "Method:                           MLE   Df Model:                           27\n",
+      "Date:                Thu, 06 Feb 2020   Pseudo R-squ.:                  0.6933\n",
+      "Time:                        16:56:28   Log-Likelihood:            -1.2087e+05\n",
+      "converged:                       True   LL-Null:                   -3.9414e+05\n",
+      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
+      "==============================================================================\n",
+      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
+      "------------------------------------------------------------------------------\n",
+      "x1            -0.7759      0.005   -159.769      0.000      -0.785      -0.766\n",
+      "x2            -2.8173      0.013   -217.097      0.000      -2.843      -2.792\n",
+      "x3            -1.0330      0.005   -201.280      0.000      -1.043      -1.023\n",
+      "x4             1.2583      0.006    226.254      0.000       1.247       1.269\n",
+      "x5            -1.6347      0.007   -241.303      0.000      -1.648      -1.621\n",
+      "x6             0.9321      0.006    155.761      0.000       0.920       0.944\n",
+      "x7             2.2958      0.011    216.553      0.000       2.275       2.317\n",
+      "x8            -1.1970      0.008   -156.793      0.000      -1.212      -1.182\n",
+      "x9            -0.4450      0.007    -67.589      0.000      -0.458      -0.432\n",
+      "x10           -1.1569      0.009   -123.110      0.000      -1.175      -1.138\n",
+      "x11            0.5439      0.006     87.258      0.000       0.532       0.556\n",
+      "x12           -0.9669      0.008   -120.576      0.000      -0.983      -0.951\n",
+      "x13           -0.1208      0.005    -23.743      0.000      -0.131      -0.111\n",
+      "x14           -0.8985      0.008   -111.936      0.000      -0.914      -0.883\n",
+      "x15            0.0986      0.006     17.687      0.000       0.088       0.110\n",
+      "x16           -0.4278      0.008    -51.789      0.000      -0.444      -0.412\n",
+      "x17           -0.6861      0.010    -65.893      0.000      -0.706      -0.666\n",
+      "x18           -0.3332      0.006    -53.095      0.000      -0.345      -0.321\n",
+      "x19            2.1179      0.011    188.397      0.000       2.096       2.140\n",
+      "x20            0.8077      0.007    110.848      0.000       0.793       0.822\n",
+      "x21           -0.4993      0.008    -65.529      0.000      -0.514      -0.484\n",
+      "x22           -2.4334      0.010   -232.778      0.000      -2.454      -2.413\n",
+      "x23            0.1435      0.009     15.148      0.000       0.125       0.162\n",
+      "x24           -0.9113      0.011    -83.321      0.000      -0.933      -0.890\n",
+      "x25           -0.3372      0.012    -29.138      0.000      -0.360      -0.315\n",
+      "x26            1.2487      0.019     66.144      0.000       1.212       1.286\n",
+      "x27            1.0868      0.027     39.567      0.000       1.033       1.141\n",
+      "x28           -0.0256   9.15e-05   -279.287      0.000      -0.026      -0.025\n",
+      "==============================================================================\n",
+      "\n",
+      "Possibly complete quasi-separation: A fraction 0.40 of observations can be\n",
+      "perfectly predicted. This might indicate that there is complete\n",
+      "quasi-separation. In this case some parameters will not be identified.\n"
      ]
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "selectedcols = backwardElimination(df , 0.05, allfeatures, 'Class', 'naive')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy: 0.999403110845827\n",
-      "Sensitivity: 0.7872340425531915\n",
-      "Specificity: 0.9997538158542589\n",
-      "Precision: 0.8409090909090909\n",
-      "f1 score: 0.8131868131868133\n",
-      "AUC value is: 0.8934939292037252\n",
-      "Model classification metrics have finished calculating!\n",
-      "Model fitting and results are complete!\n",
-      "Accuracy with all fraud results is 95.9349593495935%\n"
+      "['V1' 'V2' 'V3' 'V4' 'V5' 'V6' 'V7' 'V8' 'V9' 'V10' 'V11' 'V12' 'V13'\n",
+      " 'V14' 'V15' 'V16' 'V17' 'V19' 'V20' 'V21' 'V22' 'V23' 'V24' 'V25' 'V26'\n",
+      " 'V27' 'V28' 'Amount']\n"
      ]
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "# Using train test split number = 41 for all sampling\n",
-    "\n",
-    "# finalcolstouse is list of features that are significant (p < 0.05) for linear regression\n",
-    "# modelpipeline.run_model(self, df, varlist, response, testratio, standardize, sampletype, modelname, text, CV)\n",
-    "results = modelpipeline.run_model(df, finalcolstouse, 'Class', 0.2, True, 'naive', 'XGBoost', 'XGBoost with forward linear selection', False)"
+    "print(selectedcols)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "scrolled": false
-   },
+   "execution_count": 56,
+   "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "D:\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:111: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "SMOTE Oversampling selected..\n",
+      "Number of Xs and Ys for: SMOTE\n",
+      "[(0, 284315), (1, 284315)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.027048\tvalidation_1-error:0.03332\n",
-      "[5]\tvalidation_0-error:0.012141\tvalidation_1-error:0.015344\n",
-      "[10]\tvalidation_0-error:0.006641\tvalidation_1-error:0.009146\n",
-      "[15]\tvalidation_0-error:0.002801\tvalidation_1-error:0.006092\n",
-      "[20]\tvalidation_0-error:0.002238\tvalidation_1-error:0.004582\n",
-      "[25]\tvalidation_0-error:0.001908\tvalidation_1-error:0.003739\n",
-      "[30]\tvalidation_0-error:0.001572\tvalidation_1-error:0.003318\n",
-      "[35]\tvalidation_0-error:0.001211\tvalidation_1-error:0.002897\n",
-      "[40]\tvalidation_0-error:0.001079\tvalidation_1-error:0.002686\n",
-      "[45]\tvalidation_0-error:0.000906\tvalidation_1-error:0.002458\n",
-      "[50]\tvalidation_0-error:0.0008\tvalidation_1-error:0.002019\n",
-      "[55]\tvalidation_0-error:0.000708\tvalidation_1-error:0.001843\n",
-      "[60]\tvalidation_0-error:0.000598\tvalidation_1-error:0.00158\n",
-      "[65]\tvalidation_0-error:0.000481\tvalidation_1-error:0.001422\n",
-      "[70]\tvalidation_0-error:0.000411\tvalidation_1-error:0.001317\n",
-      "[75]\tvalidation_0-error:0.000361\tvalidation_1-error:0.001124\n",
-      "[80]\tvalidation_0-error:0.000277\tvalidation_1-error:0.000966\n",
-      "[85]\tvalidation_0-error:0.000231\tvalidation_1-error:0.000895\n",
-      "[90]\tvalidation_0-error:0.000187\tvalidation_1-error:0.00079\n",
-      "[95]\tvalidation_0-error:0.000167\tvalidation_1-error:0.00065\n",
-      "[99]\tvalidation_0-error:0.000143\tvalidation_1-error:0.000562\n",
-      "[[56843    22]\n",
-      " [   10    87]]\n"
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.176939\n",
+      "         Iterations 15\n",
+      "Regression model retrained with 29 variables.\n",
+      "Max p value for a feature is: 0.005680664995002565\n",
+      "All p values are above 0.05. Terminating model training\n",
+      "p values list: [0.00000000e+000 0.00000000e+000 0.00000000e+000 0.00000000e+000\n",
+      " 0.00000000e+000 0.00000000e+000 0.00000000e+000 0.00000000e+000\n",
+      " 0.00000000e+000 0.00000000e+000 0.00000000e+000 0.00000000e+000\n",
+      " 3.72529026e-044 0.00000000e+000 1.98842391e-030 0.00000000e+000\n",
+      " 0.00000000e+000 5.72602538e-183 0.00000000e+000 0.00000000e+000\n",
+      " 0.00000000e+000 0.00000000e+000 0.00000000e+000 5.68066500e-003\n",
+      " 0.00000000e+000 6.46118928e-039 0.00000000e+000 0.00000000e+000\n",
+      " 0.00000000e+000]\n",
+      "                           Logit Regression Results                           \n",
+      "==============================================================================\n",
+      "Dep. Variable:                      y   No. Observations:               568630\n",
+      "Model:                          Logit   Df Residuals:                   568601\n",
+      "Method:                           MLE   Df Model:                           28\n",
+      "Date:                Thu, 06 Feb 2020   Pseudo R-squ.:                  0.7447\n",
+      "Time:                        16:56:51   Log-Likelihood:            -1.0061e+05\n",
+      "converged:                       True   LL-Null:                   -3.9414e+05\n",
+      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
+      "==============================================================================\n",
+      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
+      "------------------------------------------------------------------------------\n",
+      "x1            -0.8482      0.006   -135.882      0.000      -0.860      -0.836\n",
+      "x2            -2.6489      0.016   -162.276      0.000      -2.681      -2.617\n",
+      "x3            -1.3601      0.009   -143.479      0.000      -1.379      -1.342\n",
+      "x4             1.4251      0.007    200.581      0.000       1.411       1.439\n",
+      "x5            -1.9849      0.009   -221.358      0.000      -2.002      -1.967\n",
+      "x6             0.9407      0.008    120.927      0.000       0.925       0.956\n",
+      "x7             1.9022      0.019     98.950      0.000       1.865       1.940\n",
+      "x8            -1.0646      0.010   -107.265      0.000      -1.084      -1.045\n",
+      "x9            -0.7501      0.009    -85.639      0.000      -0.767      -0.733\n",
+      "x10           -1.6317      0.015   -110.970      0.000      -1.660      -1.603\n",
+      "x11            0.9163      0.010     87.397      0.000       0.896       0.937\n",
+      "x12           -1.5723      0.017    -93.187      0.000      -1.605      -1.539\n",
+      "x13           -0.0814      0.006    -13.938      0.000      -0.093      -0.070\n",
+      "x14           -1.5090      0.017    -86.700      0.000      -1.543      -1.475\n",
+      "x15            0.0736      0.006     11.465      0.000       0.061       0.086\n",
+      "x16           -1.0169      0.017    -60.447      0.000      -1.050      -0.984\n",
+      "x17           -1.6714      0.027    -60.939      0.000      -1.725      -1.618\n",
+      "x18           -0.3619      0.013    -28.846      0.000      -0.386      -0.337\n",
+      "x19           -0.3548      0.008    -45.114      0.000      -0.370      -0.339\n",
+      "x20            2.8668      0.017    172.283      0.000       2.834       2.899\n",
+      "x21            1.0805      0.009    119.573      0.000       1.063       1.098\n",
+      "x22           -0.5796      0.009    -64.053      0.000      -0.597      -0.562\n",
+      "x23           -2.2801      0.017   -133.705      0.000      -2.314      -2.247\n",
+      "x24            0.0296      0.011      2.766      0.006       0.009       0.051\n",
+      "x25           -0.7953      0.013    -61.521      0.000      -0.821      -0.770\n",
+      "x26           -0.1738      0.013    -13.049      0.000      -0.200      -0.148\n",
+      "x27            1.0389      0.024     42.517      0.000       0.991       1.087\n",
+      "x28            1.7292      0.031     55.319      0.000       1.668       1.790\n",
+      "x29           -0.0291      0.000   -269.951      0.000      -0.029      -0.029\n",
+      "==============================================================================\n",
+      "\n",
+      "Possibly complete quasi-separation: A fraction 0.42 of observations can be\n",
+      "perfectly predicted. This might indicate that there is complete\n",
+      "quasi-separation. In this case some parameters will not be identified.\n"
      ]
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "selectedcols = backwardElimination(df , 0.05, allfeatures, 'Class', 'smote')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy: 0.9994382219725431\n",
-      "Sensitivity: 0.8969072164948454\n",
-      "Specificity: 0.9996131187901169\n",
-      "Precision: 0.7981651376146789\n",
-      "f1 score: 0.8446601941747572\n",
-      "AUC value is: 0.9482601676424811\n",
-      "Model classification metrics have finished calculating!\n",
-      "Model fitting and results are complete!\n",
-      "Accuracy with all fraud results is 97.96747967479675%\n"
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount']\n"
      ]
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "# Using train test split number = 40 for all sampling\n",
+    "print(selectedcols)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Forward Selection without comments and with feature name chosen"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Slight improvement to previous code by having more informative print text on what feature name is chosen instead of it's number\n",
+    "### Reduction of excessive comments printed out by the function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import operator\n",
+    "from collections import Counter\n",
+    "from imblearn.over_sampling import RandomOverSampler\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from imblearn.over_sampling import SMOTE\n",
+    "from imblearn.over_sampling import ADASYN\n",
+    "import statsmodels.discrete.discrete_model as sm\n",
     "\n",
-    "# finalcolstouse is list of features that are significant (p < 0.05) for linear regression\n",
-    "# modelpipeline.run_model(self, df, varlist, response, testratio, standardize, sampletype, modelname, text, CV)\n",
-    "results = modelpipeline.run_model(df, finalcolstouse, 'Class', 0.2, True, 'naive', 'XGBoost', 'XGBoost with forward linear selection', False)"
+    "def forwardselection(df,testratio,response,removelist,sampling):\n",
+    "    if isinstance(removelist, str) == True:\n",
+    "        temp_str = removelist\n",
+    "        internallist = []\n",
+    "        internallist.append(temp_str)\n",
+    "    else:\n",
+    "        internallist = removelist\n",
+    "    X = df.drop(internallist, axis=1)\n",
+    "    y = df[response]\n",
+    "    # Get list of column names\n",
+    "    colnames = list(X.columns.values)\n",
+    "    print(colnames)\n",
+    "    \n",
+    "    # Start of train-test split and oversampling (if relevant)\n",
+    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=testratio, random_state=42)\n",
+    "    if sampling.lower() == 'smote':\n",
+    "        print(\"SMOTE Oversampling selected..\")\n",
+    "        X_train, y_train = SMOTE().fit_resample(X_train, y_train)\n",
+    "        # train test split keeps X_test and y_test as pd series, oversampler converts X_train, y_train to numpy\n",
+    "        # Convert all to numpy array for XGBoost to not have bugs\n",
+    "        X_test = X_test.values\n",
+    "        y_test = y_test.values\n",
+    "        print(\"Number of Xs and Ys for: \" + str(sampling.upper()))\n",
+    "        print(sorted(Counter(y_train).items()))\n",
+    "        print(\"Oversampling is complete!\")\n",
+    "    elif sampling.lower() == 'naive':\n",
+    "        print(\"Naive Oversampling selected..\")\n",
+    "        ros = RandomOverSampler(random_state=42)\n",
+    "        X_train, y_train = ros.fit_resample(X_train, y_train)\n",
+    "        # train test split keeps X_test and y_test as pd series, oversampler converts X_train, y_train to numpy\n",
+    "        # Convert all to numpy array for XGBoost to not have bugs\n",
+    "        X_test = X_test.values\n",
+    "        y_test = y_test.values\n",
+    "        print(\"Number of Xs and Ys for: \" + str(sampling.upper()))\n",
+    "        print(sorted(Counter(y_train).items()))\n",
+    "        print(\"Oversampling is complete!\")\n",
+    "\n",
+    "\n",
+    "    # Total features to select = k\n",
+    "    # In each iteration, the current set of n features is concatenated with a new feature not inside current set\n",
+    "    # It is then sent for training with the logistic regression\n",
+    "    # The model performance for each feature + current features is evaluated by its highest p value (worst feature)\n",
+    "    # All highest p values of all feature addition to n features (k-n iterations) are put into a dictionary\n",
+    "    # Next, the lowest p value out of all the iterations (for n features + 1) is chosen for evaluation\n",
+    "    # Set significance level, which is compared to the lowest p value of the best model in the current training iteration\n",
+    "    # If best model in current training iteration of n vars has any vars with p value > sig level, then the model training stops\n",
+    "    # Because all the different models are worse or equally bad as the current best model, we can terminate selection process\n",
+    "    # If not, repeat this iteration with now n+1 features and k-n-1 iterations\n",
+    "    sig_level = 0.05\n",
+    "\n",
+    "    maxcolsnum = X_train.shape[1]\n",
+    "    full_x = np.array(False)\n",
+    "    allowed_nums = {}\n",
+    "    for i in range(maxcolsnum):\n",
+    "        allowed_nums[i] = True\n",
+    "    actual_nums = []\n",
+    "    actual_vars = []\n",
+    "    terminate_early = False\n",
+    "    y = y_train\n",
+    "    for i in range(maxcolsnum):\n",
+    "        # Reset boolean and pval_list\n",
+    "        terminate_early = False\n",
+    "        pval_list = {}\n",
+    "        for j in range(maxcolsnum):\n",
+    "            if allowed_nums[j] == True:\n",
+    "                # Need to reshape to single column instead of a long array for concating properly\n",
+    "                jth_x = X_train[:,j].reshape(-1,1)\n",
+    "                if full_x.any():\n",
+    "                    iter_x = np.concatenate((full_x, jth_x), axis=1)\n",
+    "                else:\n",
+    "                    iter_x = jth_x\n",
+    "                regressor_OLS = sm.Logit(y_train, iter_x).fit(disp=0)\n",
+    "                pval_list[j] = max(regressor_OLS.pvalues)\n",
+    "                # Special condition where all the features have p values of 0, directly use these variables for training\n",
+    "                if max(regressor_OLS.pvalues) == 0:\n",
+    "                    if full_x.any():\n",
+    "                        full_x = np.concatenate((full_x, jth_x), axis=1)\n",
+    "                        allowed_nums[j] = False\n",
+    "                        actual_nums.append(j)\n",
+    "                        print(\"Features all have p value of 0, using feature: [\" + str(colnames[j]) + \"]\")\n",
+    "                    else:\n",
+    "                        full_x = jth_x\n",
+    "                        allowed_nums[j] = False\n",
+    "                        actual_nums.append(j)\n",
+    "                        print(\"First model trained using feature: [\" + str(colnames[j]) + \"] with p value of 0\")\n",
+    "                    terminate_early = True\n",
+    "                    break\n",
+    "            else:\n",
+    "                continue\n",
+    "        if i > 0 and terminate_early == False:\n",
+    "            print(\"Building new model with lowest p-values with \" + str(len(actual_nums)) + \" variables.\")\n",
+    "            max_pval_col = min(pval_list.items(), key=operator.itemgetter(1))[0]\n",
+    "            max_pval = pval_list[max_pval_col]\n",
+    "            # Need to reshape to single column instead of a long array for concating properly\n",
+    "            jth_x = X_train[:,max_pval_col].reshape(-1,1)\n",
+    "            if max_pval < sig_level:\n",
+    "                if full_x.any():\n",
+    "                    full_x = np.concatenate((full_x, jth_x), axis=1)\n",
+    "                    allowed_nums[max_pval_col] = False\n",
+    "                    actual_nums.append(max_pval_col)\n",
+    "                    print(\"New model trained using feature: [\" + str(colnames[max_pval_col]) + \"] with lowest p values of \" + str(max_pval))\n",
+    "                else:\n",
+    "                    full_x = jth_x\n",
+    "                    allowed_nums[max_pval_col] = False\n",
+    "                    actual_nums.append(max_pval_col)\n",
+    "                    print(\"First model trained using feature: [\" + str(colnames[max_pval_col]) + \"] with lowest p values of \" + str(max_pval))\n",
+    "            else:\n",
+    "                print(\"TERMINATING AS best model trained using feature: [\" + str(colnames[max_pval_col]) + \"] with high p value of \" + str(max_pval) + \" above significance level: \" + str(sig_level))\n",
+    "                break\n",
+    "\n",
+    "\n",
+    "    for k in actual_nums:\n",
+    "        actual_vars.append(colnames[k])\n",
+    "    print('Final variables selected:')\n",
+    "    print(actual_vars)\n",
+    "    \n",
+    "    return actual_vars"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n",
+      "Naive Oversampling selected..\n",
+      "Number of Xs and Ys for: NAIVE\n",
+      "[(0, 255880), (1, 255880)]\n",
+      "Oversampling is complete!\n",
+      "First model trained using feature: [V1] with p value of 0\n",
+      "Features all have p value of 0, using feature: [V2]\n",
+      "Features all have p value of 0, using feature: [V3]\n",
+      "Features all have p value of 0, using feature: [V4]\n",
+      "Features all have p value of 0, using feature: [V6]\n",
+      "Features all have p value of 0, using feature: [V7]\n",
+      "Features all have p value of 0, using feature: [V17]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py:512: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  \"Check mle_retvals\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Building new model with lowest p-values with 7 variables.\n",
+      "New model trained using feature: [V9] with lowest p values of 1.3499052620827247e-291\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py:512: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  \"Check mle_retvals\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Building new model with lowest p-values with 8 variables.\n",
+      "New model trained using feature: [V11] with lowest p values of 7.468764810312311e-186\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py:512: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  \"Check mle_retvals\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Building new model with lowest p-values with 9 variables.\n",
+      "New model trained using feature: [V8] with lowest p values of 1.7557655661627995e-134\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py:512: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  \"Check mle_retvals\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Building new model with lowest p-values with 10 variables.\n",
+      "New model trained using feature: [V16] with lowest p values of 2.025681486168209e-111\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py:512: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  \"Check mle_retvals\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Building new model with lowest p-values with 11 variables.\n",
+      "New model trained using feature: [V19] with lowest p values of 5.369924262646178e-88\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py:512: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  \"Check mle_retvals\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Building new model with lowest p-values with 12 variables.\n",
+      "New model trained using feature: [V10] with lowest p values of 1.7291020174766805e-66\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py:512: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  \"Check mle_retvals\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Building new model with lowest p-values with 13 variables.\n",
+      "New model trained using feature: [Amount] with lowest p values of 2.8652322063445345e-133\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\statsmodels\\discrete\\discrete_model.py:1789: RuntimeWarning: divide by zero encountered in log\n",
+      "  return np.sum(np.log(self.cdf(q*np.dot(X,params))))\n"
+     ]
+    },
+    {
+     "ename": "LinAlgError",
+     "evalue": "Singular matrix",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mLinAlgError\u001b[0m                               Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-59-721824ae0937>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfinalcolstouse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mforwardselection\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m0.1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'Class'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'Time'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'naive'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[1;32m<ipython-input-58-4125cdc9c466>\u001b[0m in \u001b[0;36mforwardselection\u001b[1;34m(df, testratio, response, removelist, sampling)\u001b[0m\n\u001b[0;32m     80\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     81\u001b[0m                     \u001b[0miter_x\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mjth_x\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 82\u001b[1;33m                 \u001b[0mregressor_OLS\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mLogit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my_train\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0miter_x\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdisp\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     83\u001b[0m                 \u001b[0mpval_list\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mj\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mregressor_OLS\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     84\u001b[0m                 \u001b[1;31m# Special condition where all the features have p values of 0, directly use these variables for training\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\statsmodels\\discrete\\discrete_model.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, start_params, method, maxiter, full_output, disp, callback, **kwargs)\u001b[0m\n\u001b[0;32m   1900\u001b[0m         bnryfit = super(Logit, self).fit(start_params=start_params,\n\u001b[0;32m   1901\u001b[0m                 \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmaxiter\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmaxiter\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfull_output\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfull_output\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1902\u001b[1;33m                 disp=disp, callback=callback, **kwargs)\n\u001b[0m\u001b[0;32m   1903\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1904\u001b[0m         \u001b[0mdiscretefit\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mLogitResults\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbnryfit\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\statsmodels\\discrete\\discrete_model.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, start_params, method, maxiter, full_output, disp, callback, **kwargs)\u001b[0m\n\u001b[0;32m    215\u001b[0m         mlefit = super(DiscreteModel, self).fit(start_params=start_params,\n\u001b[0;32m    216\u001b[0m                 \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmaxiter\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmaxiter\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfull_output\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfull_output\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 217\u001b[1;33m                 disp=disp, callback=callback, **kwargs)\n\u001b[0m\u001b[0;32m    218\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    219\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mmlefit\u001b[0m \u001b[1;31m# up to subclasses to wrap results\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\statsmodels\\base\\model.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, start_params, method, maxiter, full_output, disp, fargs, callback, retall, skip_hessian, **kwargs)\u001b[0m\n\u001b[0;32m    475\u001b[0m             \u001b[0mHinv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcov_params_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mxopt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mretvals\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    476\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mmethod\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'newton'\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mfull_output\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 477\u001b[1;33m             \u001b[0mHinv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mretvals\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Hessian'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mnobs\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    478\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mskip_hessian\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    479\u001b[0m             \u001b[0mH\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhessian\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mxopt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\numpy\\linalg\\linalg.py\u001b[0m in \u001b[0;36minv\u001b[1;34m(a)\u001b[0m\n\u001b[0;32m    549\u001b[0m     \u001b[0msignature\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'D->D'\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misComplexType\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32melse\u001b[0m \u001b[1;34m'd->d'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    550\u001b[0m     \u001b[0mextobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_linalg_error_extobj\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_raise_linalgerror_singular\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 551\u001b[1;33m     \u001b[0mainv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_umath_linalg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msignature\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msignature\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mextobj\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mextobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    552\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mwrap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mainv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult_t\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    553\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mD:\\Anaconda3\\lib\\site-packages\\numpy\\linalg\\linalg.py\u001b[0m in \u001b[0;36m_raise_linalgerror_singular\u001b[1;34m(err, flag)\u001b[0m\n\u001b[0;32m     95\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     96\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_raise_linalgerror_singular\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0merr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mflag\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 97\u001b[1;33m     \u001b[1;32mraise\u001b[0m \u001b[0mLinAlgError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Singular matrix\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     98\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     99\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_raise_linalgerror_nonposdef\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0merr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mflag\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mLinAlgError\u001b[0m: Singular matrix"
+     ]
+    }
+   ],
+   "source": [
+    "finalcolstouse = forwardselection(df,0.1,'Class','Time','naive')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### After variables that are deem significant are selected based on forward selection of logistic regression, they can be sent into the model pipeline for model evaluation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Use existing model pipeline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>V1</th>\n",
+       "      <th>V2</th>\n",
+       "      <th>V3</th>\n",
+       "      <th>V4</th>\n",
+       "      <th>V5</th>\n",
+       "      <th>V6</th>\n",
+       "      <th>V7</th>\n",
+       "      <th>V8</th>\n",
+       "      <th>V9</th>\n",
+       "      <th>V10</th>\n",
+       "      <th>...</th>\n",
+       "      <th>V21</th>\n",
+       "      <th>V22</th>\n",
+       "      <th>V23</th>\n",
+       "      <th>V24</th>\n",
+       "      <th>V25</th>\n",
+       "      <th>V26</th>\n",
+       "      <th>V27</th>\n",
+       "      <th>V28</th>\n",
+       "      <th>Amount</th>\n",
+       "      <th>Class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>-1.359807</td>\n",
+       "      <td>-0.072781</td>\n",
+       "      <td>2.536347</td>\n",
+       "      <td>1.378155</td>\n",
+       "      <td>-0.338321</td>\n",
+       "      <td>0.462388</td>\n",
+       "      <td>0.239599</td>\n",
+       "      <td>0.098698</td>\n",
+       "      <td>0.363787</td>\n",
+       "      <td>0.090794</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.018307</td>\n",
+       "      <td>0.277838</td>\n",
+       "      <td>-0.110474</td>\n",
+       "      <td>0.066928</td>\n",
+       "      <td>0.128539</td>\n",
+       "      <td>-0.189115</td>\n",
+       "      <td>0.133558</td>\n",
+       "      <td>-0.021053</td>\n",
+       "      <td>149.62</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>1.191857</td>\n",
+       "      <td>0.266151</td>\n",
+       "      <td>0.166480</td>\n",
+       "      <td>0.448154</td>\n",
+       "      <td>0.060018</td>\n",
+       "      <td>-0.082361</td>\n",
+       "      <td>-0.078803</td>\n",
+       "      <td>0.085102</td>\n",
+       "      <td>-0.255425</td>\n",
+       "      <td>-0.166974</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.225775</td>\n",
+       "      <td>-0.638672</td>\n",
+       "      <td>0.101288</td>\n",
+       "      <td>-0.339846</td>\n",
+       "      <td>0.167170</td>\n",
+       "      <td>0.125895</td>\n",
+       "      <td>-0.008983</td>\n",
+       "      <td>0.014724</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>-1.358354</td>\n",
+       "      <td>-1.340163</td>\n",
+       "      <td>1.773209</td>\n",
+       "      <td>0.379780</td>\n",
+       "      <td>-0.503198</td>\n",
+       "      <td>1.800499</td>\n",
+       "      <td>0.791461</td>\n",
+       "      <td>0.247676</td>\n",
+       "      <td>-1.514654</td>\n",
+       "      <td>0.207643</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.247998</td>\n",
+       "      <td>0.771679</td>\n",
+       "      <td>0.909412</td>\n",
+       "      <td>-0.689281</td>\n",
+       "      <td>-0.327642</td>\n",
+       "      <td>-0.139097</td>\n",
+       "      <td>-0.055353</td>\n",
+       "      <td>-0.059752</td>\n",
+       "      <td>378.66</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>-0.966272</td>\n",
+       "      <td>-0.185226</td>\n",
+       "      <td>1.792993</td>\n",
+       "      <td>-0.863291</td>\n",
+       "      <td>-0.010309</td>\n",
+       "      <td>1.247203</td>\n",
+       "      <td>0.237609</td>\n",
+       "      <td>0.377436</td>\n",
+       "      <td>-1.387024</td>\n",
+       "      <td>-0.054952</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.108300</td>\n",
+       "      <td>0.005274</td>\n",
+       "      <td>-0.190321</td>\n",
+       "      <td>-1.175575</td>\n",
+       "      <td>0.647376</td>\n",
+       "      <td>-0.221929</td>\n",
+       "      <td>0.062723</td>\n",
+       "      <td>0.061458</td>\n",
+       "      <td>123.50</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>-1.158233</td>\n",
+       "      <td>0.877737</td>\n",
+       "      <td>1.548718</td>\n",
+       "      <td>0.403034</td>\n",
+       "      <td>-0.407193</td>\n",
+       "      <td>0.095921</td>\n",
+       "      <td>0.592941</td>\n",
+       "      <td>-0.270533</td>\n",
+       "      <td>0.817739</td>\n",
+       "      <td>0.753074</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.009431</td>\n",
+       "      <td>0.798278</td>\n",
+       "      <td>-0.137458</td>\n",
+       "      <td>0.141267</td>\n",
+       "      <td>-0.206010</td>\n",
+       "      <td>0.502292</td>\n",
+       "      <td>0.219422</td>\n",
+       "      <td>0.215153</td>\n",
+       "      <td>69.99</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 30 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         V1        V2        V3        V4        V5        V6        V7  \\\n",
+       "0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
+       "1  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361 -0.078803   \n",
+       "2 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
+       "3 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
+       "4 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
+       "\n",
+       "         V8        V9       V10  ...       V21       V22       V23       V24  \\\n",
+       "0  0.098698  0.363787  0.090794  ... -0.018307  0.277838 -0.110474  0.066928   \n",
+       "1  0.085102 -0.255425 -0.166974  ... -0.225775 -0.638672  0.101288 -0.339846   \n",
+       "2  0.247676 -1.514654  0.207643  ...  0.247998  0.771679  0.909412 -0.689281   \n",
+       "3  0.377436 -1.387024 -0.054952  ... -0.108300  0.005274 -0.190321 -1.175575   \n",
+       "4 -0.270533  0.817739  0.753074  ... -0.009431  0.798278 -0.137458  0.141267   \n",
+       "\n",
+       "        V25       V26       V27       V28  Amount  Class  \n",
+       "0  0.128539 -0.189115  0.133558 -0.021053  149.62      0  \n",
+       "1  0.167170  0.125895 -0.008983  0.014724    2.69      0  \n",
+       "2 -0.327642 -0.139097 -0.055353 -0.059752  378.66      0  \n",
+       "3  0.647376 -0.221929  0.062723  0.061458  123.50      0  \n",
+       "4 -0.206010  0.502292  0.219422  0.215153   69.99      0  \n",
+       "\n",
+       "[5 rows x 30 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### From previous example above, we removed V18 in backward logistic selection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Based on backward selection and naive sampling, V18 was removed\n",
+    "finalcolstouse = list(df.columns.values)\n",
+    "finalcolstouse.remove('V18')\n",
+    "print(finalcolstouse)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Logistic Regression without and with feature V18"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Based on backward selection and naive sampling, V18 was removed\n",
+    "finalcolstouse = list(df.columns.values)\n",
+    "finalcolstouse.remove('V18')\n",
+    "print(finalcolstouse)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Oversampling is complete!\n",
+      "[[55674  1194]\n",
+      " [   10    84]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiAAAAERCAYAAABCRxyJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1gVR/vw8S9VmoqCvaOCgGIJ2LBgjT32Ekvs2MHYNVbsnSgqNtTYHmOsiEaNGlvsJbHFBvZKFRRp+/7hj309HlSIKMfD/fE61yWzs7Oze7bcZ2Z210BRFAUhhBBCiC/IMKMrIIQQQojMRwIQIYQQQnxxEoAIIYQQ4ouTAEQIIYQQX5wEIEIIIYT44iQA0QNyI9OXI9s685LvXuibjN6nUx2AXL58mZEjR1K7dm1cXFyoXbs2I0eO5Pbt25+tcqdOnaJx48aULl2aRo0apVu5CxYswMHBgYSEhHQr8322bNmCg4MDDg4OXLt2LcU8169fV/Pcv38/TeX/+uuvTJ069aP5ateuzdChQ9NU9rs+1/eRrHPnznTo0CHdy03J/fv3cXBw4Ndff031PH/88YfGNkz+bu/cufOf6/H2/vH2p0yZMtSqVYuffvqJsLCw/1y+LnNwcGDevHkZXY0UvXu8vHuc/ddzSEacez5l//zcUnMcjhw5kho1aqh/f8nzhC5Ij3N3ShYvXszSpUvVv9/dzl+CcWoybdy4ER8fHypUqMDAgQPJkycP9+7dY/Xq1bRq1Yrly5fzzTffpHvlpk+fzqtXr/Dz88Pa2jrdym3VqhVVqlTB2DhVq58uDA0N2b17N6VKldKaFhgY+J/LXbx4MRUqVPhoPl9fX6ysrP7zcuDzfR8ZIXfu3Kxbt46iRYumep5Vq1ZpXDhq1qzJunXryJs37yfXZ968eeTOnVv9OyYmhnPnzrFixQpu3rzJxo0bP3kZumbdunXkz58/o6uRonePl9QeZ+Lz++mnnzK6Cnph/vz59OnTR/27T58+fP/991+0Dh+9Al+4cIFJkybRvn17xo0bpzGtYcOGtG7dmuHDh7N3716MjIzStXIRERGUL1+emjVrpmu5+fPn/+Invm+++YY9e/YwePBgrWm7du3CycmJK1eufLbllylT5pPL+FzfR0YwNTXF1dX1k8qwsbHBxsYmXerj7OxMkSJFNNJq1qxJYmIiy5Yt4+bNm5QoUSJdlqUrPnX7f07pcbyIz8PBwSGjq6CX0vJjLL18tAtm+fLlZM2alWHDhmlNy5YtGyNHjqRJkyZERUWp6UFBQbRq1Yry5ctTtWpVxo4dS3h4uDp9wYIF1KtXj6NHj9KiRQvKlClD7dq1WbVqFfD/m+UePHhAYGAgDg4ObNmy5b1Nih06dKBz587q31evXqV79+64ublRrlw5vv/+e44dO6ax/HebQT+1zh/TsGFDQkJCtIKMCxcu8PjxYxo0aKA1z/79++nYsSPly5endOnSNGjQgF9++UWdnryNdu7cqR6UyfVcunQplSpVomrVqjx+/FijGW/69Ok4ODhobJP9+/fj4OCQ4vq87/sACAkJYdCgQVSrVo2yZcvSqVMnTp8+rTXvmjVraNq0KWXLlmXNmjWp2mbvc/z4cTp27Mg333xDxYoVGTx4MA8ePNDIc/78eTp27Ei5cuWoVasWa9eupWvXrowcOVKjXslNv4qisHDhQurVq0fp0qWpWbMmkydP5uXLl8CbZtBTp05x7tw5tasspf3x6NGj6nfm7u7OqFGjPqkLJVu2bFppjx8/ZsiQIVSqVEnd5hcuXNDIEx0dzbhx46hSpQrly5dnyJAhrFmzRuPk3blzZ4YPH86QIUMoX7487dq1AyAuLo7Zs2fj4eFB6dKlady4MVu3btUo/969ewwYMIDKlSvj4uJCixYtNFryPrY9QbsL5unTp4wePRoPDw9cXFxo2bIl+/fv11iug4MDGzZsYMKECer69+rVi7t376a4/ZKSkqhcuTITJ07USHNzc6Np06YaeXv37k2PHj0AzWbvlI6zZMeOHaNly5ZpPh8cOnSIBg0aUKZMGVq1aqVxLMKb/XP48OFUq1YNZ2dnqlSpwvDhw7X2pcDAQFq2bEnZsmWpWbMmU6dO5dWrVykuMzo6mjZt2lCtWjWCg4Np3rw5vXv31sjTtGlTXF1dSUxMVNMmTpyonp8SExNZunQpTZo0wcXFhXLlytG+fXv++usvNf+WLVtwcnJi69atVKtWjYoVK/L3338DsHnzZho2bIiLiwtt2rTh5s2bqdpeb3u3Cya1+8S5c+fo3Lkz5cqVw83NjSFDhvDkyRONPNeuXVP3a2dnZ6pXr46Pj4/GNq1duzbTp0+nR48elC1bFm9v7xTrGR4ezogRI6hWrRplypShUaNGWue+yMhIxo8fj7u7O2XKlKFly5b8+eefH1z/pKQkli9fTv369SldujR169ZlxYoVWuM53ncuSj73ASxZsoTatWsD2l0wiYmJrF+/Xj1v16xZkxkzZhAbG6vmGTlyJF27dmXHjh00bNhQvU7t2LHjg+uQ7IMBiKIoHDlyhCpVqmBubp5intq1azN48GBy5MgBwKJFixg8eDBOTk7MmzePvn378vvvv9OlSxeNL/H58+eMGTOG1q1bs3jxYpydnZk2bRrHjh1Tm8dz5cpFtWrVWLduXap/dUdHR9OtWzeyZMnCrFmzmD9/PiYmJnh6enLv3r0U50mPOn9MlSpVyJkzJ7t379ZIDwwMVKe97dChQ/Tv35+SJUuyYMEC5s+fT4ECBZg8eTJnzpwB0NpGyR49esS2bduYOXMmQ4cO1eoiGDx4MMWLF2fcuHG8evWK0NBQxo4dS7Vq1fjhhx+06v6+7+PmzZu0bNmSkJAQRowYwcyZMwHo2rWrxgkJYNasWbRv354ZM2Z8UgvK9u3b6datGzlz5mTmzJkMHz6c8+fP065dO549ewbArVu36Nq1K4mJicycOZO+ffuyaNEizp07995y/f39CQgIoFu3bixbtoxu3bqxadMmtd/f19cXR0dH7O3tWbdunUZ3SbLDhw/Tq1cvzM3NmTlzJsOGDePo0aP07dv3o+uVmJhIQkKC+gkPD2fPnj2sWLECFxcX7OzsgDcntfbt23P+/HmGDx/O7NmzMTIyokuXLly6dEktr3///uzatYu+ffsye/ZsIiIimD17ttZyg4KCeP36NQsWLMDT0xOAgQMHsnbtWjp06ICfnx+urq6MHDlS3ceSkpLo3bs3oaGhTJ48GT8/PwoXLsyQIUPUffNj2/Ndz58/p3Xr1pw4cYIBAwYwb9488ufPT//+/bWCn3nz5hEREcGMGTP46aefuHDhAsOHD0+xXENDQ6pXr87x48fVtEuXLhEVFcWNGzfUC/rr1685deqUejJ+2/uOM4DRo0fTpk0b/Pz8cHBwYNq0aR+9gACMGjWK9u3bM2/ePCwsLOjdu7c6Riw2NpYuXbpw/fp1Ro8ezdKlS+nYsSOBgYHMmTNHLeN///sfQ4YMwc7Ojvnz5+Pp6clvv/3G6NGjtZb36tUr+vTpw6NHj1izZg3FihXDw8OD06dPExcXB0BoaCg3btzgxYsXGj+UDh8+TK1atQCYM2cOCxcupFWrVvj7+zNhwgTCw8MZNGgQMTEx6jyJiYn4+voyfvx4hg0bhpOTExs3bmTMmDG4urqyYMECatSokWKL8H/xsX3i7NmzdOnSBXhzLho9ejTnz5+nU6dOREdHA28C4I4dOxIVFcXkyZNZsmQJ3377LWvXriUgIEBjeWvXrqVgwYIsWLCA9u3bp1inIUOGcOnSJUaPHo2/vz+VK1dmypQp6sU5Li6Orl27smfPHvr27Yuvry+FChWiT58+HDhw4L3r6uPjw9y5c6lfvz5+fn40btyY2bNnM2vWLDXPh85FyedzgObNm+Pr65vicsaNG8fkyZOpUaMGP//8Mx06dGDdunX06dNHI9i5fPkyCxYsoFevXvj5+WFra8vw4cMJDg5+7zqolA8IDQ1V7O3tlVmzZn0omyoiIkIpXbq0MnLkSI30kydPKvb29srq1asVRVGUn3/+WbG3t1cOHTqk5nn58qXi7OysTJo0SU2rVauWMmTIEPXv3377TbG3t1dCQkI0ym/fvr3SqVMnRVEU5cKFC4q9vb1y9uxZjfWYOnWqcv36dY3lx8fHp3ud3/V2ncePH6/UrVtXnZaQkKC4u7srW7duVTZt2qTY29sr9+7dUxRFUfz9/ZXBgwdrlBUWFqbY29srfn5+791GKdUzpXx///234uTkpMyePVvp37+/UqlSJeXp06fvXY+UyvDy8lLc3NyUyMhINS0uLk6pX7++0rx5c0VRFOXevXuKvb294uXl9cGyFUVROnXqpLRv3/690xMTExV3d3elc+fOGukhISGKs7OzMnXqVEVRFGXYsGFKlSpVlJiYGDXP2bNnFXt7e2XEiBEa9dq0aZOiKIrSo0cPpVu3bhrlbt68Wf3+U6rfu/tj69atlcaNGyuJiYlqnkOHDim1a9dWbt++neI6JZeR0qdixYrKqFGjlNDQUDX/3LlzFWdnZyU4OFhNi4uLUxo1aqR0795dURRFOX78uGJvb68EBQWpeRISEpSGDRsq9vb2Guvj5OSkvHjxQk07duyYYm9vr2zdulWjnj/99JPi6uqqvHr1Snn27Jlib2+v7NixQ6MOU6ZMUc6cOZPq7Wlvb6/MnTtXURRFmTlzpuLs7Kx1bHfu3FmpXLmyEh8fr87TqlUrjTzz5s1T7O3tlbCwsBS38a5duxR7e3vl/v37iqIoypIlS5RmzZopzs7Oyu7duxVFUZTDhw8r9vb2yoMHDxRF0d7X33ec7d+/X0178eKF4ujoqEybNi3Ferw939vb7tWrV4q7u7syaNAgRVEU5cqVK0q7du2UW7duaczr6empnj+SkpIUd3d3pWfPnhp5Nm7cqHz77bdKVFSUum9dv35d6d69u+Lu7q5RZvK58uTJk4qiKMrOnTsVd3d3pXr16sry5csVRVGUW7duKfb29sqpU6cURVEUb29vZdmyZRrL3LNnj2Jvb6+cPn1aUZT/v0+vW7dOzZNc3z59+mjM6+fnp3EcpmTEiBFK9erV1b/fPQ5Ts0+0b99eqV+/vvL69Ws1z927dxVnZ2dlyZIliqK82QfatWuncT5TFEVp0qSJ8sMPP6h/16pVS6lWrZq6T75PmTJllMWLF2vV68CBA4qiKOo5P3n7J+vevbtSv359jeUl73vBwcGKg4ODsmDBAo15Fi9erDg6OioPHz5UFCV156K3jz9F0dzON27cUOzt7bWWs2XLFo39fsSIEYq9vb1y48YNNc+dO3cUe3t7ZcWKFR/cPoqiKB9sAUke0/F2c9yHXLhwgbi4OK2mzYoVK1KgQAFOnTqlkf72wFVzc3Osra01mmj/i5IlS5IrVy769u3LxIkT+eOPPzA1NWXUqFGULFkyQ+vcqFEj7t69q/5SPXnyJC9evKBu3bpaeXv37s3cuXOJjY3l2rVr7Nmzh+XLlwOov1g+5GP9pGXKlMHT05Ply5ezb98+pkyZQq5cuVK1HslOnTpFjRo1NLoJTExMaNKkCVeuXOHFixdqur29fZrKTklwcDDPnj3T+q6KFClC+fLl1e/qxIkT1KhRAwsLCzVPhQoVKFCgwHvLdnd359ixY3Tq1IlVq1Zx48YNWrVqpf5q+pjY2Fj++ecf6tWrh6Hh/z+satasyR9//EGxYsU+OL+fnx+bN29m48aNdOnSBSMjI3744QemTp2q0Tp24sQJ7O3tKViwoNpaYmBgQK1atTh58iRxcXGcOHECIyMj6tWrp85nZGSU4p1L+fPn1xhsmdxyVbt2bY0Wmbp16xIVFcXff/+NjY0NDg4OjB07llGjRhEUFER0dDSjR49Wj4+0bs9Tp05RpkwZrXEwzZs3JywsTKOp/t0B7/ny5QN4b9dD9erVMTY2VltBjh8/Ts2aNSlVqhQnT54E4M8//6RUqVJpHhtWsWJF9f9WVlbkzJmTyMjID85jZGSk0eVqZmZGjRo11G3v6OjIxo0bKVasGPfu3ePo0aMEBARw+/Zt9dhPPha+/fZbjbLbtWvHnj17yJo1q5o2cuRI9ddvcksagIuLC7a2thrbpVKlSpQvX17dLocPH8ba2lodgDtv3jx69uxJREQEFy5cYNu2bWrXW3x8vEZd3j7mk+v79j4JaB3L/9WH9onY2FguXLhArVq1MDQ0VPfpfPny4ezszNGjR4E3+8nGjRuxtLQkODiYQ4cOsWTJEsLCwrTOucWLF//oTQxVq1ZlwYIFDB48mC1btvDkyRO8vb3V1qS//vqLHDlyUKFCBa1jLSQkRKtbGd4c/4qiULduXY156tWrR2JiIidOnPjkcxGgnkvf/X6aNm2KkZGRxnUxe/bsGuPTklvcU3Nd/OAWzJ49O5aWliluiGSvX78mKiqKXLlyqQeera2tVj5bW1uNcSLw5sB7m6Gh4Sffl2xhYcGGDRvw9/fn999/Z/369ZiamlK/fn0mTJigcWACX7TOrq6u5MmTh927d1O6dGkCAwPx8PBI8e6U8PBwJk6cyL59+1AUhSJFiqiD9lKzvJTW510tWrRg0aJFZM+eHTc3t1Stw9siIyNTDFqSl/12AJLW4CYlERERGuW/u8yHDx8CEBYWpnYJplSvlHTt2hUrKyt+++03Zs6cSWJiIkWKFGHo0KHUr1//o3WLjIxEUZRUbfeUlCxZUr34li9fHlNTU3x9fcmSJYs6LgHe7Bd37tzB2dk5xXLCw8MJDw8nW7ZsWifIlAbMvlvf5HFP79sfnjx5goGBAQEBAfj7+7Nv3z62bNmCkZER1atXZ+LEieTNmzfN2zMyMjLFO8RS2pdSOgbhTddQSrJmzUqFChU4fvw4zZo14/z58/Tu3ZuEhAS1u+TIkSM0bNgwxfk/5N2u6dScD6ytrTExMdFIs7Gx0TjXrF69Gn9/f0JDQ7G1taV06dKYm5ur/e/J31Nq9rdHjx7h4uLC4sWLadq0qfqDwcDAgBo1anD8+HG8vb05ceIEffr0IT4+nrlz55KYmMjhw4epUaOG+mP08uXL+Pj4cP78eczMzLC3t1cv9u+u99vHfPKx+25Xc0pdmf/Fh/aJyMhIkpKSCAgI0OpKgf8/+DIpKQlfX1/Wrl1LdHQ0+fLlw8XFhSxZsmitW2q2+5w5c1i+fDlBQUEEBQVhYGDAN998w/jx47G3t1eP1fcdy0+ePNH60ZT8vX/33XfvnedTz0Xw/uuisbExOXLk0NhX37ftU3Od+uhdMNWqVePkyZPExsZqLQhg9+7djBgxgqVLl5I9e3bgTX/uu794nz59StmyZT9aoQ8xMDAAtFtkoqOjNW4LLVSoEJMnT0ZRFK5du0ZQUBArVqwge/bsWnfyfO46v83Q0JAGDRqwZ88evLy82Ldv33v7xIcMGcKtW7cICAigXLlymJqa8urVKzZt2pQudVEUhXHjxpEvXz5iYmKYNGlSimMEPiR79uzquIu3PX36FHhzok3PZ1gkf8fPnz9PcZnJQUfevHkJDQ3VyhMaGqrxC/BtBgYGtGnThjZt2hAVFcXRo0dZunQpgwcP5uDBgx89UVpZWWFgYKC1vomJiRw5coQyZcqk6Y4ZLy8vDh48yLx586hevbq6b2bNmpVvvvmGUaNGpThfjhw5yJMnD5GRkcTHx2tc6FLaJu/KmjUrZmZmrF27NsXpBQsWBN5cMEePHs3o0aO5ffs2+/fvZ9GiRYwfPx5/f/80b8+P7UspBZRpUatWLZYuXcq5c+dISkqiQoUKJCYmsmLFCs6fP09ISEiK4z8+h6ioKJKSkjR+nT5//ly9OO/cuZOpU6cybNgwWrZsqaZ7eXmpF6DkIOLd/S06Oprz589Trlw5Ne3nn3/GxsaGZs2aMW3aNKZNm6ZO8/DwYPv27Vy+fJkHDx5QqVIlEhISiI6O5syZM5w+fZoZM2aoZXfv3h0HBweCgoIoVqwYhoaG/Pnnn/z+++8fXOfkdXj3O357oP/nknxsdu7cmWbNmmlNNzU1BWDp0qUsX76cyZMnU7duXfXHauvWrf/Tci0tLfHy8sLLy4uHDx9y4MAB/Pz8+PHHHwkMDCRr1qwUKlTovc/CSamlIvl7DwgI0PoxDW8CuvQ4F719XbS0tFTT4+PjCQ8P/+TjMdlH74Lp3r07kZGRKV6cIiIi8PPzI2/evLi7u1O2bFlMTU3ZuXOnRr7Tp0/z6NGjT35WSHJLwaNHj9S0Z8+eaQx22bNnD5UrV+bp06cYGBjg6OioDtRKqSXnc9f5XY0aNeL+/fssXboURVHeOyDz7Nmz1K1bl4oVK6oHSPKvtbcjy7dPYmmxbt06jh8/jo+PD8OGDWPnzp0fPYm8y83NjcOHD2tEwwkJCQQFBeHk5KTRBZIeihUrRq5cubS+q7t373Lx4kX1u3Jzc+PIkSMaTfKXL1/+4EPe2rdvj4+PD/DmIG/UqBF9+vQhISFBHSn/oW1taWmJo6Mj+/fv1/h+Tp48iaenJ7du3UrTupqamjJhwgTi4+PVesGbJv/g4GCKFClCmTJl1E9QUBCrVq3CxMSEihUrkpSUpHEHiaIo7Nu376PLrVSpErGxscTHx2uUf+fOHebPn8+rV684f/48VatWVe9ssLOzo3fv3lSqVEk9xlKzPd/m5ubGP//8o3Xnwo4dO8iZM2eqmo0/pFatWoSHh7N27VrKli2Lubk5rq6umJiYMGvWLHLlyvXBW2//63GWkvj4eI4cOaL+HR0dzcGDB6lUqRLw5ti3sLCgZ8+e6oU7Ojqas2fPqq08dnZ25MiRg71792qUvXv3bnr27KnRDZQrVy6KFStG79692bJli8aAXHd3dwwNDVm0aBH58uWjSJEiFC9enNy5c+Pr64uiKOqdEbdv3yYiIoKOHTtSvHhxdZskn5fe1wIFb1oZChQoQFBQkEb6u3c5fQ6WlpY4Oztz69YtjX3awcEBPz8/tf5nz57Fzs6OFi1aqBf3x48fc/369TS3zD948ICaNWuq65s/f346depEw4YN1WOkUqVKPH78GGtra416nTlzBj8/vxT3ueSWydDQUI15Xr58yezZs3n69Gmqz0Uf2qeTuxbfPdfu2rWLxMTEdLsufrQFpFy5cnh7ezNv3jxu377Nd999h62tLTdv3mT16tWEh4ezZs0ajI2Nsba2pnfv3ixcuBATExPq1KnD/fv3+fnnnylWrBitWrX6pMpWqVIFCwsLpk+fjpeXF3Fxcfj7+2tEghUqVEBRFPr06UPPnj3Jnj07R44c4caNG/Ts2VOrzM9d53eVK1eOAgUKsGTJEpo2baoGF+9ycXEhMDAQZ2dn8ubNy7lz51i+fDkGBgYafWvZsmXj33//5a+//lJPYB9z584dZs+eTYsWLahWrRrwZkcbP348rq6uqf6lPmDAAA4fPkynTp3o3bs3WbJk4ZdffuHevXv4+/unqox3PX36NMVbGQsXLkzt2rX58ccfGTVqFIMGDeK7774jMjKShQsXkjVrVrp37w68eaBOUFAQPXr0oHv37kRFRfHzzz9jaGiotqK9y83NTW0lc3V1JTQ0lIULF1KsWDEcHR2BN9v63LlzHDt2jPLly2uVMWjQIPr27Uv//v1p3bo1ERER+Pr6Urly5f/0zIuKFSvSpEkTAgMD2bVrF40bN6Zbt27s2LGDLl260K1bN2xsbNi/fz8bNmzAy8sLAwMD3NzccHd3Z9y4cYSGhlKgQAE2b97MjRs33rv+yWrUqEHFihUZMGAAnp6elCxZkitXrrBw4ULKly9P/vz5sbGxwdzcnKFDh9KvXz9y587NxYsXOXr0KP369Uv19nxb8np17dqVfv36kTNnTrZt28bJkyeZPHnyJz9jqFixYhQtWpT9+/fTv39/4E13bZkyZTh79ixt2rT54Lb5L8fZ+5iYmDB27Fi8vb3Jli0by5YtIzY2Vq1X2bJl2bBhA5MnT6Z27do8ffqUlStXavwaNTIyYuDAgUyaNIkxY8ZQv3597t+/z/z582nRogUFCxbUGr/m6enJrl27GDt2LDt37sTCwgIrKyvc3NzYv38/zZs3V/NWqlSJnTt3UrVqVfWHn52dHVmzZsXf3x8jIyNMTEzYs2cP27ZtA94/BifZsGHDGDx4MEOGDKFp06bcuHFDHdf2uQ0ZMoSePXsyaNAgtRXkl19+4cyZM3Tt2hV4s92PHDnCokWLKF++PHfu3GHp0qXExcWleWxigQIFyJcvH5MnTyYyMpKiRYty8+ZNtm7dqnb1tWjRgnXr1tGtWzd69+5NwYIFOXnyJMuWLaNFixYp/oCzt7enefPmjBs3jnv37lG2bFnu3r2Lr68vtra26ti/1JyLsmXLxsWLFzlz5ozW+alEiRJqF31sbCwVK1bk2rVrLFq0CDc3Nzw8PNK0Pd4nVY8C7dOnD87Ozqxbt445c+YQHh5O3rx5qVy5Mn379qVQoUJq3oEDB2Jra8vatWvZsmUL1tbWNGjQgMGDB2s05fwXVlZW+Pn5MXv2bLy9vcmbNy/du3fn8uXL6i+n3Llzs3LlSubPn8+kSZOIiYmhWLFiTJ06VeMAe9vnrHNKGjVqxLJlyz44AGv69On4+PioXTRFixZlwoQJBAUFcfbsWTWfp6cn48ePp1+/flrRakqSkpIYMWIElpaW6jMxACZPnkzTpk0ZO3YsixYtStV6lCxZkvXr1zN37lzGjh0LvAmcVq9e/Z/GlMCb5x+83UScrE6dOtSuXZuWLVtiaWmJv78/3t7eWFpa4u7uzo8//kiePHmAN4NSV6xYwcyZMxk8eDC2trb07duXhQsXvvf79Pb2xtzcnO3bt7N8+XIsLCxwd3dn2LBh6liKrl27cvHiRfr27cvKlSu1yqhVqxb+/v74+fnh5eWFtbU1devWZfDgwf/5F/Tw4cM5ePAgM2bMoFatWuTOnZuNGzcyd+5cpk6dSmxsLIULF2b8+PEaTzGcN28e06dPx9fXVx3Y1r59e/Vi8T6GhoYsXbqUn3/+mYCAAJ4/f07u3Lnp0KEDAwYMACBLliwEBAQwZ84cZs2aRWRkJAUKFMDb21sN8lOzPbYDEXcAACAASURBVN+WK1cuNmzYwJw5c5g5cyavX7/GwcFBfZZIevDw8GDVqlUaAUSVKlU4d+6cOjDwfdJ6nH1I9uzZGT16NLNnz+bJkye4uLjwyy+/qAP5mjdvzr179/jtt9/YtGkTefLkoWbNmnTu3JmffvqJa9euUapUKTp27IilpSUrVqxg+/bt5M6dm44dO6pB4LtMTU2ZOHEiXbp0Yd68eYwZMwZ4s98mD0B9e7vs3LlTY7skn39nzpzJkCFD1F/aa9eupXfv3pw5c+aD31XDhg0xNDTEz8+PgQMHUrRoUWbNmkWvXr0+aXumRtWqVQkICGDhwoUMHToUY2NjHB0dWb58OZUrVwbeDPwPCwtj/fr1+Pv7ky9fPpo3b46xsTGLFi1Kc9eDn58fc+fOZfHixYSFhZE7d246deqkHkcWFhasXbuWefPm4evrS1RUFPnz52fgwIEf3CZTp06lWLFibNmyhUWLFpEjRw7q1auHl5eX+oM2NeeiAQMGMH/+fPr166cOxH3blClTKFKkCL/99hurVq3SqH96PXTUQPnUUZ9C6JijR49iYmKicUKNjIzE3d2dkSNH0qlTpwys3ed3//59zp49S/369TUGSQ4aNEh9gJoQQmS0L/cyFCG+kH///Zf58+fj7e2Nk5MTERERrF69muzZs3+Wl+jpGiMjI8aOHcsff/xBq1atMDIy4siRI+zdu1d9WJwQQmQ0aQEReicpKQl/f3+2bdvGo0ePsLCwoFKlSgwdOlSju1CfnThxAj8/P65evUpCQgIlSpSge/fumSIAE0J8HSQAEUIIIcQXl373lgkhhBBCpJIEIEIIIYT44mQQqhBCCJ1jUK9gqvMq+97/kEGhuyQAEamWlhOC0H/JJ/2YhBcfySkyE0tj7UeE/ycfeWie+PpJACKEEEL3yAABvScBiBBCCN0jLSB6TwIQIYQQukfiD70nAYgQQgjdYyQRiL6TAEQIIYTukS4YvScBiBBCCN0j8YfekwBECCGE7jGUCETfSQAihBBC90j8ofckABFCCKF7ZAyI3pMARAghhO6Ru2D0ngQgQgghdI/EH3pPAhAhhBC6R7pg9J4EIEIIIXSP3AWj9yQAEUIIoXsk/tB7EoAIIYTQPdICovckABFCCKF7PlMA8vDhQ7y9vbXSPT09qVOnDiEhIaxatYpbt25hZWVFw4YNadasmZovKSmJzZs388cffxATE0OpUqXo2bMnefPmVfOkRxmZgQQgQgghdM9nagC5c+cO5ubm+Pr6aqRbWFgQFRWFj48Pbm5u9OzZk5s3b7J8+XIsLCyoW7cuAJs3b2bv3r3069cPGxsb1q9fz5QpU5gzZw6mpqbpUkZmYZjRFRBCCCG0GBik/pMGd+/epWDBglhbW2t8TE1N2b9/P8bGxvTq1YuCBQvi4eFBkyZN2L59OwDx8fEEBgbSpk0bKlSoQJEiRfDy8iIiIoITJ04ApEsZmYUEIEIIIXSPYRo+aXDnzh0KFCiQ4rRr165RqlQpjIyM1DRnZ2eePHlCWFgYISEhxMbG4uzsrE63sLCgWLFiXLlyJd3KyCykC0YIIYTuSUPLRkxMDDExMVrplpaWWFpaaqTdu3ePvHnzMnbsWB4/fky+fPlo1aoVZcuWJSwsDBcXF438OXLkAOD58+eEh4cDYGNjo5UnNDQUIF3KyCwkABFCCKF70jAIddeuXWzevFkrvXXr1rRt21b9OzY2lqdPn5ItWza+//57zM3NOXz4MFOnTmXMmDG8fv0aY2PNy6KJiQnwpuvk9evXGmlv54mPjwdIlzIyCwlAhBBC6J40dK00btwYDw8PrfR3Wz/MzMxYvXo1xsbGapBgZ2fHgwcP2LFjB6ampiQkJGjMkxwUmJmZqQNE4+PjNYKM+Ph4zMzMANKljMxCAhAhhBC6Jw1dMCl1tbxPShf5woULc/bsWfLkyUNYWJjGtLe7TBRFUdPMzc018hQsWBAAW1vbTy4js5BBqEIIIXSPQRo+qXT9+nW6dOnCzZs3NdJv3bpFwYIFcXR05N9//yUxMVGddvnyZfLly4e1tTVFihTB3Nycy5cvq9NfvnxJcHAwTk5OAOlSRmYhAYgQQgjdY2iQ+k8q2dnZkTt3bvz9/bl27RoPHjwgICCAf//9l1atWlGrVi1iY2NZvHgx9+/f5/DhwwQGBtKiRQvgzTiNBg0asGHDBk6fPs2dO3fw9fUlZ86cVK5cGSBdysgsDJTk9iAhPsKgXuZqHhQfpuy7D0BMwosMronQJZbGWdOlHIOBZVKdV1nwT6rzhoWFsX79ei5evMjLly+xs7OjQ4cOauvDrVu3CAgIIDg4GGtraxo3bkyjRo3U+ZOSktiwYQOHDh0iNjYWR0dHevToQZ48edQ86VFGZiABiEg1CUDE2yQAESlJrwDE0Mvl45n+T5Lv3+myTPFlySBUIYQQOscgjU84FV8fCUCEEELoHIk/9J8EIEIIIXSOoUQgek8CECGEEDpHumD0nwQgQgghdI6hoTwlQt9JACKEEELnSAOI/pMARAghhM6RLhj9JwGIEEIInSMBiP6TAEQIIYTOMUjLS17EV0kCECGEEDpHWkD0nwQgQgghdI5RGl4yJ75OEoAIIYTQOdICov8kABFCCKFzJADRfxKACCGE0DkSf+g/CUCEEELoHGkB0X8SgAghhNA5EoDoPwlAhBBC6Bx5F4z+kwBECCGEzpEGEP0nIabQezmzWqPsu6/1+XWsPwDf2LukOH1W7580yhnwXTeurzrCy8Cb/L10P21qNFGnBQybm2IZyr77HJi1KcV6/VC/Dcq++xTJU/Dzrbz4T/488CfV3Gq8d/ovq9bSvuX3Wul379zFq99g3F2rU7taXXzGTSYqMuq95Zz86yQVnF05f/ZCutRbnxgYGKT6I75O0gIi9F7Z4k4A1B/5PVEvo9X00KhwAFyKORL9Koa6IzpozPfw+WP1/8Pa9mVKt+GMXTWb09cv0K5mMzaOWcSzyDAOXTyOz1pflgSu1Zjfw6UK03uOYvnuDVp1ypMjF3M9x6fbOor0c/H8RX4aOQ5FUVKcvv/3/SyYtwC74sU10sPDwunRuRfmFmb8NGEMFhbmLFuygt7d+vDL/9ZgYqJ5un318hWTJ0z9bOvxtZPAQv9JACL0nksxRx6HPWXf2cMpT7dz5FLIv5y8ei7F6VktrBjfaTCjVkxnzuY3rSYHzh/DoVBx6n9Tg0MXj3P70R1uP7qjMc+mnxazeu+vrD+wVatMv4FTePn6FTmxToc1FOkhLi6O9b9sYPGCJZibm5OUlKQxPTo6mqWLlrFuzXqyZs2qNf/2LduJiIhg+ZpNFClaBACXci40rt+UHVt30KptS438C339iI+P/3wr9JUzlABE70kXjNB7LnaO/B189f3Tizny9+33T6//TU3MTLNotWR4DGnN6JXTU5xnVPsBZLOwYtiyyVrTWlVvTI0ylZjwy9xUroH4Eo4dOU7A8lV4D/WiXcd2WtO3/LqV33fvZdrsqbjXcNeafufOXfLlz6cGHwA5cuagSJHCHD/2l0bei+cvsu237Qwe6pX+K6InDA0NUv0RXydpAdEjUVFR7N+/n6tXr/L8+XPi4+MxMzPDxsYGJycn6tSpg5WVVUZX84tzsXMkNu41x+Zvo0LJ0jyPDOfnbSuZtWkxAGWKleJ1fBznl/yOU+GS3H36EJ9181mzb7M6/6Owp5Qr7szcPuMoU6wUIU/uM3L5NLYcDdJaXp4cufBu2ZNJa+fxLCJUY1qOrNYsHOCD9+IJxMS+/PwrL1LNubQTgb/vIGu2rCzx89eaXqtOLdp935YsWbLw50Ht1rQ8efMQHhbO69evyZIlCwDx8Qk8efJUozshLi6OieN86NWnB4UKF/p8K/SVk7fh6j9pAdETt27dwtvbmz/++IPs2bPj6upKjRo1KF++PFmzZmXv3r14e3sTEhKS0VX9ogwMDHAqbI9DweL471pLw9Fd2HBwO9O6j2RsJ2/y2eQhl7UNJQsUY8r6n2k0pgt//n2C1cPn07luKwByZc+JlbkFG8f4sXz3BhqM7sSZ6xf5dewSKjtW0FpmnyadSUhMYPHOX7Smze87gfM3L6fYLSMyVu48ucmaTbtrJVmhwgXVwCIl9b+tR1xcHONGT+DRw8c8e/acqZOm8jLmJa9evVLz+S9aRhZTUzp17ZSu9dc3MghV/0kLiJ4ICAjA1dWVPn36pHj/fFJSEkuWLCEgIICJEydmQA0zhoGBAU3G/sDdpw+59TAEgEMXj2NlbsGItv2Y/esSvh3Vkb9vX+Vx2FMA/jh/lPw2eRjfeTC/7P8NE2MTrK2y02WGF7/s/w2AgxeO41TYnrGdvGk8povGMns27MDqfZuJjNG8++FbVw9auDegdK86n3/FxRdnV8KOqTMnM2XiVBrXa4KhoSHNWjSlWg13Htx/AMC1q9dYv2Y9K9euwNhYTr8fIoGF/pMWED0REhLCd999996H9xgaGtKsWTNu3779hWuWsZKSkjh44bgafCTbc/oQluYW2OUrwt4zf6rBhzr9zCGK5y+KpZkF0a9i1LRkiqJw4MIxyhQtpTGfm0M5CubKx8aD2zXSrcwt8feezvg1c3jw/DFGhkbqd2VkaCQnWz1Rp34d9h3ey5bAzew7vJdxk8YSFhZOtuzZSUhIYNJYH1q3a0VJ+xIkJCSQ+H8DXZOSErUGvWZ2Bgap/4ivkwQgeiJHjhzcuXPng3lu3ryZ4uh9fZbPJg+9GnXENntOjXTzLGbAm2eEeDbphKmJqeZ0UzNexr4iJvYlN/8veDE11sxjYmyCguatmg3cPHgc9pRjl09rpH9T0oUieQoyt894En6/Q8Lvd9gyfhkAt9YcY+XQOZ+8riJjPXzwkO1bd2BkZETRYkXJkcOaxMREbt+8jUMpex4+eMS1q/+ybs16KpatTMWylfmhQ1cAenX1pF+vARlaf10jXTD6T9oA9UTjxo1ZvHgxISEhODk5YWNjg4mJCfHx8YSHh3P58mWCgoJo1057dL8+y2JiytLBM7A0M2f+luVqeqvqjfj33i2MDI1Y4jWdJ+HP2XZsjzq9ZbWGHLl0EoC9Z/4EoE2NxmoZRoZG1P+mBscvn9FYXkWHcpz6V/uhUmdv/I1r/0YaaTVdKjPHcxxNx3bln+Br6bPCIsM8evSYiT9NwtHJEXuHkgDsCfqdqKgoanhUJ2++PKz93xqNeW7fDmbcqPGMm/QT5b8pnxHV1lmf+1HsDx8+ZMSIEXTt2pU6dd50iz59+pSVK1dy9epVTE1NqVmzJh06dMDIyEidb8+ePQQGBhIeHk7RokXp1q0bJUqUUKenRxmZhQQgeqJBgwaYmZmxdetWtm/frjU9f/78GgdaZhHy+B7rD2zDp+swkhSFq3dv0KZGE1pVa0TzCT04/M8JjvxzkiVe08hhlZ1HYU/xbNwRF7tSVBv85rkNNx4Es2L3RqZ2H4mBgQGX71ynb5POFMldgNaTPDWWV7qoA78e3qVVj+hXMZy9/rdGWkHbfAD8E3yNO0/uf6YtIL6UsuVcKGlfkgk/TaT/oH48efyE2TPmUMOjOq4VXQFwKu2U4rxFihbVuH1XfN6ulYSEBBYsWMDr16810qZMmUK+fPnw8fHh6dOnLF68GCMjIzp0ePOQwkOHDrFu3To8PT0pWrQo27dvZ8qUKcyfP5/s/9fN9qllZCYSgOgRDw8PPDw8iIyMJCwsjNevX2NqaoqtrS3ZsmXL6OplmB5zhjK2kxfeLXqQzyY3V+/epNWk3uz8ax8A343vwdTuI5j0w1BssuXg3M1/qDfie42AwXP+CO4/f8Tglr2wzZ6Ti7evUG/k9/zzzvNFclvbEhET+UXXT+gGY2Nj5vnNZcbkmYwaOgpzCwvatGtN34F9MrpqX6XP2bWyadMmzMzMNNJOnDjBs2fPmDJlClZWVhQuXJiOHTsSEBBAq1atMDU1ZevWrXz77bdUq1YNgL59+zJw4ED27dtH69at06WMzEQCED2UPXv2TBdJf0hsXCxjVs5gzMoZKU4PfxFBX99R9GXUe8tITEpkwpo5TFjz4bEalk1Lprpe24//jkE9eQ+MLurT35M+/T3fO33KDJ8U0/Pnz4fvonmpXo5TaSfOvdONJ974XAHIlStX2L9/PzNnzqRfv35q+tWrVylatKjGs5KcnJx4/fo1t2/fJm/evDx69AhnZ2d1uqGhIaVKleLq1avpVkZmIgGIEEIInZOWACQmJoaYmBitdEtLSywtLTXyLVy4kO7du2Nra6uRNywsjJw5NQerJ/8dGhqKqembQeg2NjYaeXLkyMGtW7fSrYzMRAIQIYQQOictDSC7du1i8+bNWumtW7embdu26t/Lli3D3t5e7f54W1xcnFZXdfKzWuLj44mLi9NIS5Y82D+9yshMJAARQgihc9JyF0zjxo3x8PDQSn+79ePw4cNcu3aN2bNnp1hGSkFAQkICAGZmZmrrRXJasuRXXqRXGZmJBCBCCCF0Tlq6YN7taknJwYMHiYyMpG/fvhrpK1euZNeuXTg5OREcHKwxLSwsDHjTjZLcZRMWFkbhwoXVPOHh4Wo3i62t7SeXkZlIAKInxo8fn+q8melR7EKIr1N6j0EdOHCg2gWSbNCgQbRu3Zpq1apx/fp1Dh48SExMjBrMXL58GXNzc+zs7DA2NiZ//vxcuXKFcuXKAW+etHzt2jXq1q0LgKOj4yeXkZlIAKIn8uTJk9FVEEKIdJPed8G8r4UhW7Zs5MqVi+zZs5MzZ07mz59Pp06dePbsGevXr6dx48bqmI0mTZoQEBBA/vz5KVGiBDt27CA2NlZ9vpKbm9snl5GZGCiKonw8mxDILaNCg7LvzcPTYhJeZHBNhC6xNE6f1z2U82+e6rwXPLf9p2W0bdsWT09P9eL/+PFjVqxYwZUrV7CysqJWrVq0bdtWYzzKzp07CQoK4sWLF9jZ2dG1a1fs7OzU6elRRmYhAYieioiI4OHDh+oLrhRFIT4+nps3b2qMCk8LCUDE2yQAESlJrwCkwrIWqc57rtfWdFmm+LKkC0YP/fnnnyxdulRrpDVA7ty5/3MAIoQQX4q8ZE7/ydtw9dC2bdtwd3dn/vz5WFhYMG3aNIYNG0bOnDlp06ZNRldPCCE+St6Gq/8kANFDT58+5bvvviNfvnwULVqUqKgoXF1d6dq1K0FBQRldPSGE+CgJQPSfBCB6yNjYGBMTE+DN3TF3794FoHjx4jx69CgjqyaEEKliYJD6j/g6SQCih4oXL87evXsBKFy4MBcvXgTg7t27Wo8AFkIIXSQtIPpPrkZ6qE2bNkydOpVs2bLh4eHBr7/+ipeXF+Hh4VStWjWjqyeEEB+Vlkexi6+TBCB6yNHREV9fXxISEsiWLRs+Pj7s27cPGxsbGjVqlNHVE0KIj5KWDf0nAYieevupfwULFqRbt24ZWBshhEgbiT/0nwQgeuhj73pJy3tjhBAiI0gLiP6TAEQPvfvOg8TERB4/fsyDBw9o2LBhBtVKCCFSTwIQ/ScBiB4aOHBgiukbN24kOjr6C9dGCCHSTgIQ/SfDjDOR2rVrc+zYsYyuhhBCfJShoUGqP+LrJC0gmci9e/cyugpCCJE60gKi9yQA0UMLFy7USnv58iWXLl2icuXKGVAjIYRIG+mC0X8SgOih58+fax28xsbGNGvWjCZNmmRQrYQQIvWkZ0X/SQCihyZMmPDeaREREZiZmX25ygghxH8gLSD6Twah6qF27doRFRWllf78+fP33iEjhBC6xMjQMNUf8XWSFhA9cfz4cS5cuKD+vXLlSkxNTTXyPHv2TFo/hBBfBQkr9J8EIHrC3t6e33//HUVRgDfBhpGRkTrdwMAAMzMz+vfvn1FVFEKIVDOULhi9JwGInrC1tVUfwT5x4kSGDh2KpaVlBtdKCCH+GxkDov+klUsPjR8/nqtXr3L27Fk1bcmSJZw/fz4DayWEEKlnaGCQ6o/4OkkAoocOHDjA3LlzefbsmZqWkJDArFmzOH78eAbWTAghUsfAwCDVH/F1ki4YPbRjxw569OhBnTp11LQBAwZQqlQptmzZQtWqVTOwdkII8XHGEljoPWkB0UPPnz+nTJkyWukuLi48fvw4A2okhBBpIy0g+k8CED2UK1cuLl26pJV+9epVcuTIkQE1EkKItJExIPpPumD00LfffktAQACPHz+mRIkSANy6dYvdu3fTpk2bDK6dEEJ8nIQV+k8CED3UoEED4uLi2LVrF9u3bwcgR44cdOzYkUqVKmVw7YQQ4uOkZUP/SQCip5o1a0azZs148eIFxsbG3L59m71797JmzRrWrVuX0dUTQogP+lyPWA8LC2PNmjX8888/xMXF4eTkRKdOnShUqBAAISEhrFq1ilu3bmFlZUXDhg1p1qyZOn9SUhKbN2/mjz/+ICYmhlKlStGzZ0/y5s2r5kmPMjIDGQOix16+fMmRI0cYPXo0kyZN4uzZs9SsWTOjqyWEEB/1OcaAKIrCtGnTCAsLY8yYMUybNg1TU1MmTZpEbGwsUVFR+Pj4kDdvXqZNm0a7du3YtGkT+/fvV8vYvHkze/fuxdPTkylTpmBkZMSUKVOIi4sDSJcyMgtpAdFDt27dYt++fRw7dkzdoRs1akSLFi3Ili1bBtdOCCE+7nN0wERGRlKgQAHatm1L/vz5AWjVqhXDhw/n7t27XLp0CWNjY3r16oWRkREFCxbk8ePHbN++nbp16xIfH09gYCAdO3akQoUKAHh5eeHp6cmJEyeoUaMG+/fv/+QyMgtpAdETcXFxHDhwgFGjRjF69Gj++usvKlWqxIgRIzA0NKROnToSfAghvhqfowXE2toab29vNfiIiIhg586d5MiRg8KFC3Pt2jVKlSql8R4tZ2dnnjx5QlhYGCEhIcTGxuLs7KxOt7CwoFixYly5cgUgXcrILKQFRE94enqiKArlypWjefPmVKhQARMTk4yulhBC/CdpCSxiYmKIiYnRSre0tHzvO7H8/Pz4888/MTExYfjw4ZiZmREWFoaLi4tGvuRHFzx//pzw8HAAbGxstPKEhoYCpEsZmYUEIHoiKSkJCwsLsmTJQkJCAomJiRKACCG+Wml5wNiuXbvYvHmzVnrr1q1p27ZtivM0a9aMBg0a8PvvvzNr1iwmTZrE69evMTbWvCwmn0fj4+N5/fq1RtrbeeLj4wHSpYzMQgIQPbF06VL++usvDh48yKFDhzA1NaV8+fLy2HUhxFfJKA0BSOPGjfHw8NBK/9AbwZPveunTpw83btwgKCgIU1NTEhISNPIlBwVmZmaYmpqqaW8HGfHx8ZiZmQGkSxmZhQQgeiJLlix4eHjg4eHBo0ePOHDgAIcPH+bkyZPAm/fDfPfddxQoUCCDayqEEB+Xli6YD3W1vC08PJzLly/j7u6utrAYGhpSqFAhwsPDsbW1JSwsTGseeNNloiiKmmZubq6Rp2DBggDpUkZmIYNQ9VC+fPno2LEjixcvZtiwYbi5uXH06FF+/PFHfHx8Mrp6QgjxUZ9jEOrz58/5+eef+ffff9W0hIQEgoODKVCgAI6Ojvz7778kJiaq0y9fvky+fPmwtramSJEimJubc/nyZXX6y5cvCQ4OxsnJCSBdysgspAVEjxkaGuLq6oqrqytRUVEcOnSIQ4cOZXS1hBDioz7HS+aKFy+Os7Mz/v7+eHp6YmFhwZYtW3jx4gVNmjQhS5YsbN++ncWLF9O8eXNu375NYGAgPXv2BN6M02jQoAEbNmzA2tqa3Llzs379enLmzEnlypUBqFWr1ieXkVkYKMntQUJ8hEG9zNU8KD5M2XcfgJiEFxlcE6FLLI2zpks5g/4ckuq8P9eck+q80dHRrFu3jrNnz/Ly5UscHR3p3LkzhQsXBt48RykgIIDg4GCsra1p3LgxjRo1UudPSkpiw4YNHDp0iNjYWBwdHenRowd58uRR86RHGZmBBCAi1SQAEW+TAESkJL0CEK/DQ1Od17fG7HRZpviypAtGCCGEzjH+TO+CEbpDAhCRasm/eIV4W3r94hXibZ9jDIjQLRKACCGE0DmGn+VtMEKXSAAiUi028WVGV0HoEDMjC0D2C6Epeb/4VNICov8kABFCCKFz0vJ8D/F1kgBECCGEzjE0kEGo+k4CECGEEDpHWkD0nwQgQgghdI6BvClE70kAIoQQQudIC4j+kwBECCGEzpG7YPSfBCBCCCF0joE8B0TvSQAihBBC5xjJo9j1ngQgQgghdI6hDELVexKACCGE0DkyBkT/SQAihBBC50gAov8kABFCCKFz5GV0+k8CECGEEDpHWkD0nwQgQgghdI6RvAtG70kAIoQQQufIy+j0nwQgQgghdI50weg/CUCEEELoHHkSqv6TAEQIIYTOkZfR6T8JQIQQQugcGYSq/yQAEUIIoXMMJADRexKACCGE0DkyBkT/SQAihBBC58gYEP0nAYgQQgidI7fh6j8JQIQQQuicz/UumFevXvG///2P06dPExUVRYECBWjdujWurq4APH36lJUrV3L16lVMTU2pWbMmHTp0wMjISC1jz549BAYGEh4eTtGiRenWrRslSpRQp6dHGZmBjPIRQgihcwwNjVL9SQs/Pz/OnTuHp6cns2bNomLFisyaNYtLly6RkJDAlClTAPDx8cHT05ODBw+yadMmdf5Dhw6xbt062rdvz4wZM8ifPz9TpkwhMjISIF3KyCwkABFCCKFzDDFI9Se1IiIiOHXqFF27dsXFxYW8efPSsmVLnJ2dOXDgACdOnODZs2cMGDCAwoUL4+rqSseOHQkKCiIuLg6ArVu38u2331KtWjUKFixI3759sbCwYN++fQDpUkZmIQGIEEIInWNgYJDqT2plyZKF0aNH4+joqLWs6Ohorl69StGiRbGyslKnOTk58fr1a27fvk1ERASPHj3C2dlZnW5oaEipUqW4Cq0c8wAAFkFJREFUevUqQLqUkVnIGBAhhBA6Jy234cbExBATE6OVbmlpiaWlpfq3ubk55cqV08hz/fp1Ll26RLdu3bh48SI5c+bUmJ78d2hoKKampgDY2Nho5MmRIwe3bt0CICws7JPLyCwkABFCCKFz0tKysWvXLjZv3qyV3rp1a9q2bfve+e7fv8/s2bMpUaIEdevW5fTp02TLlk0jj7Hxm8tkfHy82oWSnJbMxMSE+Ph4AOLi4j65jMxCAhAhhBA6Jy1jOxo3boyHh4dW+tutH++6cuUKs2fPJleuXIwaNQpjY+MUg4CEhAQAzMzM1NaL5LRk8fHxmJmZASkHEmktI7OQAEQIIYTOMTRI/d0t73a1fMyRI0dYvHgxTk5ODBkyBHNzcwBsbW0JDg7WyBsWFga86UaxtbVV0woXLqzmCQ8PV7tZ0qOMzEIGoQohhNA5n2MQKsDRo0dZuHAhVapUYeTIkWrwAeDo6EhISIjGeJLLly9jbm6OnZ0d2bJlI3/+/Fy5ckWdnpSUxLVr13Byckq3MjILaQERQgihcz7Hu2BCQ0Px9/fH2dmZTp06ER0drU4zNjbGzc2NnDlzMn/+fDp16sSzZ89Yv349jRs3VsdsNGnShICAAPLnz0+JEiXYsWMHsbGx1KlTByBdysgsDBRFUTK6EuLrEJv4MqOrIHSImZEFIPuF0JS8X3yq34I3pDpvq2IdUpUvKCiIVatWpTjNwcEBHx8fHj9+zIoVK7hy5QpWVlbUqlWLtm3bYmj4/zsMdu7cSVBQEC9evMDOzo6uXbtiZ2enTk+PMjIDCUBEqsmFRrxNAhCRkvQKQLYGb0x13hbF2qfLMsWXJV0wQgghdE5aBqGKr5MEIEIIIXSOvA1X/0kAIoQQQud8jkGoQrdIACKEEELnGEoLiN6TAEQIIYTOkRYQ/ScBiBBCCJ0jY0D0nwQgQgghdI7cBaP/JAARQgihc9LyMjrxdZIARAghhM6RLhj9JwGIEEIInSODUPWfvA1XiI84dOAQVVzdNdIURWHZkuV8W7shlSpUwbNHH4JvB7+nBKEvEhMTCVixiibfNqPyN1Xp2K4zJ0+cSjFveHg4Hu61WLxwyReupX74XG/DFbpDAhAhPuDC+QuMHvET774yyX/RUpb5L6dLt87MmD2NF9HR9OruyYsXLzKopuJLWLVyNQvmL6R5y++Yv2AuhQoXpF/v/ly9ck0r74ypMwkPj8iAWuoHIwOjVH/E10kCECFSEBcXR8CKVfTs2hsjI80TXExMDKsD1tCnvycdO3+PR20PlixdxMuYl2z9bVvGVFh8ETu3B9KwcQN6evagctXKTJk+GVtbW7Zu0fzeDx38k7+OnSBLliwZVNOvn0Ea/omvkwQgQqTg6OFjrFi2ksFDvenQUfNNm39f/IeXL1/iUaummpYteza+cfuGY0ePf+mqii8oLi4OSysr9W8jIyOssloRFRmppr148YIpk6YyZPhgTE1NMqKaekG6YPSfBCBCpMC5jDNBe3fRsfP3Wie4OyF3AChUqJBGesGCBbj7f9OEfmrXoS27duzi5F8nefH/2rv3oCbPPQ/g34QEAoS7F4QuIFKr0lqwqbho1Zae1SpVORXUai9ou7aitc7Y3Vm31LGIpz1axa2KpUXOsir2yEi9VmC0WKu1VbHuQejuCFK8EEED5ZJFEpL9w0Mkgho0JPDk+3EyI0+ePO/PzCv55nneS2MjdvzXTpRfLMfklyaZ+qxfuwGhQ0IxbcY0O1ba93EGRHw8C4aoCwMHDrjnc81NTXB2dob8rm+37u7uaGpq7unSyI4SZsfj9E+n8c8L3jG1LX4vCRNfmAgA+OnUz/j24GHk7t1tnwIFwpkN8TGACOLdd9+1uG96enoPViI+o7HrX45GoxFSKScVRWU0GvHu20moKK/Av3/0bxgcGoqffvwJW7d8AQ9PD0yPm4aPV6bg3cXv4LHHAu1dbp8n5QS98BhABDFv3jykp6cjMDAQKpXK3uUITemhRGtrK3Q6HeTyO7MgWq0WSg/lfV5Jfdm54l9wrvgc1q7/M/5p8h8AAM+OVkHfpseGz9JwueoylEol5sydDb1eb3qdwWiAXq+HTMZft90hlTCAiI7/IwQxduxYyOVybNy4EYsWLUJwcLC9SxJWUHAQjEYjrl69hpCQO+/zlStXzX4msVxXqwEAI59+yqw9clQksr76Cw7sO4j6+no8GxFl9nxG+pfISP8S50vP2axWEXAJRnyMmAIZPXo0oqOjkZOTY+9ShBYR8TRcXFzw3ZHvTG0Nvzfg7OmzGD1mtB0ro54U/Pdwee7cL2btf/vvv0Emk2HDf3yGnX/dbvZwc3PDK/F/xM6/brdHyX0aD0IVH2dABDN//nzU1NTYuwyhubm7Yc7c2di0cTOkEimCQ4Lw5ReZcFe6448z4+xdHvWQEeEj8NyE57Dm4z+h4fcGDA4djDM/n0HWV3/Bq/PmYJRqVKfXODlJ0b9/f4Q/GW6Hivs2BgvxMYAIxtXVlcsvNrDk/cWQSCX4z6xsaLVaPB35NFb/6WN4eHjYuzTqQes2/BmbNm7Gl198hYbfGxAUHIR/XfEviJ81096liYdLMMKTGO++xjTRPbS0ae1dAvUiCic3ANwvyFz7fvGozt740eK+z/T7R6tsk2yLMyBERNTr8CwY8TGAEBFRr8NjQMTHAEJERL0OT8MVHwMIERH1OpwBER8DiCBWrlxpcd9Vq1b1YCVERI/OFgEkLy8PxcXFSElJMbXV1NRg27ZtKCsrg7OzMyZMmIA5c+bAycnJ1Ofw4cM4cOAA6urqEBISgsTERISFhVl1DEfAACKIgQMH2rsEIiKr6emDUPPz87Fr1y4MHTrU1KbX65GamopBgwYhJSUFNTU1SE9Ph5OTE+bMmQMAKCoqwo4dO7Bw4UKEhIRg7969SE1NRVpaGry8vKwyhqNgABHEokWL7F0CEZHV9NQxIBqNBhkZGbhw4QICAgLMnjt16hRqa2uRmpoKpVKJoKAgzJ07F1lZWXjllVfg7OyMvLw8TJo0CePGjQNw+0agS5YsQWFhIWbOnGmVMRwFA4ig6uvrce3aNRgMBgC37+Sp0+lw8eJFJCQk2Lk6IqL766klmIqKCri6umLdunXIzc2F+u/3+AGAsrIyhISEQKm8c1PJESNG4NatW6ioqIC/vz+qq6sRHn7nyrZSqRTDhg1DWVmZ1cZwFAwgAjp27BgyMjLM7sjZbsCAAQwgRNTrdSeANDc3o7m5uVO7u7s73N3dzdpUKtU97xiu0Wjg6+tr1tb+882bN+Hs7AwA8PPzM+vj4+OD8vJyq43hKBhABPTNN99g7NixiIuLw4oVK5CcnAyNRoPMzEzEx8fbuzwiogfqzhLMwYMHkZub26l95syZ3frC1draCk9PT7M2mez2x6ROp0Nra6tZWzu5XA6dTme1MRwFA4iAampqsHz5cgwaNAghISFoaGiASqVCW1sb8vLyMH78eHuXSER0X92ZAZk6dSomTpzYqf3u2Y8H6SoEtM8kKxQK0+zF3bPLOp0OCoXCamM4Cl7rVkAymQxyuRzA7bNjqqqqAABDhgxBdXW1PUsjIrKIVCK1+OHu7o4BAwZ0enQ3gPTr1w91dXVmbRqNBsDtZZR+/fqZtbWrq6szLbNYYwxHwQAioCFDhqCgoAAAEBQUhPPnzwMAqqqqOk37ERH1TpJuPKxj+PDhqKysNDue5MKFC3B1dUVoaCg8PT0REBCA0tJS0/MGgwG//vorRowYYbUxHAU/jQQUHx+PNWvWwNPTExMnTsTu3buxdOlS1NXVITo62t7lERE9kD0uxf7ss8/C19cXaWlpmDdvHmpra7Fz505MnTrV9OUtNjYWWVlZCAgIQFhYGPbt24eWlhbExMRYbQxHITEajUZ7F0HWp9FooNfrMWDAAFy5cgWFhYXw8/PDlClTHnoWhLddp47ab7vO/YI6at8vHlVF4/9Y3DfU44mH2sbmzZuhVqvNroSqVquRmZmJ0tJSKJVKPP/880hISIBUemfBYP/+/Th06BAaGxsRGhqKN998E6GhoVYdwxEwgJDF+EFDHTGAUFesFUAuNf6vxX0Hewx9cCfqdbgEI6AH3eulO/eNISKyB94NV3wMIAK6+0jqtrY2qNVqXL16FS+99JKdqiIispyU50gIjwFEQEuWLOmyfdeuXWhqarJxNURE3ccZEPExYjqQF154ASdOnLB3GUREDyTpxh/qmzgD4kAuX75s7xKIiCzCGRDxMYAIaNOmTZ3atFotSkpKMGbMGDtURETUPZzZEB8DiIBu3LjR6duDTCbDtGnTEBsba6eqiIgsxwAiPl4HxMHU19fD29v7oV7L6z1QR7wOCHXFWtcBUf+f5UvG/q7/YJVtkm3xIFQBzZo1Cw0NDZ3ab9y4cc8zZIiIehfb3wuGbItLMII4efIkfvnlF9PP27ZtM932uV1tba3D3e6ZiPomxgrxMYAIYujQocjPz0f7ilptbS2cnJxMz0skEigUCiQlJdmrRCKibmAEER2PARHQqlWrsHz5cri7u1t1XK71U0c8BoS6Yq1jQGparlncd4AiwCrbJNtiABHUmTNnIJFI8MwzzwAAtm7diqioKERGRj70mPygoY4YQKgr1gogtS3VFvftrxhklW2SbfEgVAEdPXoU69evR21tralNr9dj7dq1OHnypB0rIyKyDK+EKj4eAyKgffv2YcGCBYiJiTG1LV68GMOGDcOePXsQHR1tx+qIiIg4AyKkGzdu4KmnnurUPnLkSKjVajtURETUPRKJxOIH9U0MIALq378/SkpKOrWXlZXBx8fHDhURERGZ4xKMgCZNmoSsrCyo1WqEhYUBAMrLy/Htt98iPj7eztURET0Yj+0QHwOIgCZPnozW1lYcPHgQe/fuBQD4+Phg7ty5iIqKsnN1REQPxgAiPp6GK7jGxkbIZDJUVFSgoKAAZ86cwY4dOx5qLJ5uSR3xNFzqirVOw61vvWFxX2/nflbZJtkWZ0AEptVqcfz4cRQWFuLatWuQy+WYMGGCvcsiIrIAZ0BExwAioPLychQWFuLEiRNobW0FAEyZMgVxcXHw9PS0c3VERA/G+CE+BhBBtLa24ocffkBhYSEqKiqgUCgQFRWF6OhorF27FjExMQwfRNSHMIKIjgFEEAsXLoTRaERERARmzJiBUaNGQS6X27ssIqKHwut7iI8BRBAGgwFubm5wcXGBXq9HW1sbAwgR9Vk8C0Z8DCCCyMjIwI8//ojvvvsORUVFcHZ2RmRkJC+7TkR9FAOI6HgaroCqq6tx9OhRfP/996ivrwcATJgwAdOnT0dgYOBDj8vTLakjnoZLXbHWabhNut8t7quUe1llm2RbDCACMxgMKC4uRlFREYqLi9HW1oYnn3wSycnJDzUeP2ioIwYQ6oq1AkizvsHivu4yHmDfF3EJRmBSqRQqlQoqlQoNDQ0oKipCUVGRvcsiIrIAl2BExxkQshi/6VJHnAGhrlhrBkSrb7K4r5tMaZVtkm1xBoSIiHodnoYrPgYQspi1vtmQWLhfENHD4BIMERER2ZzU3gUQERGR42EAISIiIptjACEiIiKbYwAhIiIim2MAISIiIptjACEiIiKbYwAhIiIim2MAISIiIptjACEiIiKb46XYqU9LSkpCbW2t6WeJRAJXV1cMGTIECQkJeOKJJ6y6PbVajffeew8rV65EeHg4Nm/eDLVajZSUlAe+1mg04tixY4iMjISXl1eXfQwGA3Jzc3HkyBE0Nzdj2LBheOutt+Dv72/Vf4foRNsvOsrLy0NxcbFFYxP1Zgwg1OdNmTIFM2bMAHD7l3ljYyNycnKwevVqbNiwAf369euxbScmJsJgMFjUt6SkBFu2bMGmTZvu2Sc3NxcFBQVYtGgR/Pz8sHPnTqSmpuKzzz6Ds7Oztcp2CCLtF+3y8/Oxa9cuDB069FFLJLI7LsFQn6dQKODt7Q1vb2/4+PggKCgIb7/9Nm7duoWff/65R7ft5uYGpdKyW4E/6LZLOp0OBw4cQHx8PEaNGoXg4GAsXboU9fX1OHXqlDXKdSii7BcAoNFo8Mknn2D79u0ICAh41PKIegXOgJCQnJycAAByuRzA7Sn5qKgonD9/HhqNBkuXLkVERASOHj2K/fv3o6amBv3798fEiRPx8ssvm15fVVWFrKwsXLx4ET4+Ppg+fbrZdu6eaq+pqUF2djZKSkogkUgQHh6OxMREqNVqrF69GgCwePFizJw5EwkJCWZjVVZWoqWlBeHh4aY2Nzc3DB48GKWlpRg/fnzPvFkOpC/uFwBQUVEBV1dXrFu3Drm5uVCr1T32HhHZCgMICUej0SA7OxsKhQKRkZGm9sOHD+ODDz6Al5cXAgMDUVBQgJycHCxYsACPP/44Ll++jMzMTFy/fh0LFy6EVqtFSkoKwsLCkJqairq6OmzduvWe29Vqtfjoo48QGBiI5ORkyGQybNu2DZ9++inWrFmDZcuWYcOGDVizZg0ee+yxLusGAD8/P7N2Hx8f3Lx500rvjuPqq/sFAKhUKqhUKqu/J0T2xABCfd7evXtx8OBBALcP4tTpdAgMDMSyZcvM1vlHjhxp9sGzZ88exMXFYdy4cQCAgQMHQqfTIS0tDa+++ipOnTqFlpYWJCUlQalUIigoCG+88QbWr1/fZR0nTpxAU1MT3n//fXh4eAAA3nnnHRw5cgStra1wd3cHAHh6ekKhUHR6/a1btwDc+XbeTi6XQ6fTPezb47BE2S+IRMUAQn1eTEwMYmNjAQBSqRRKpRJubm6d+g0aNMj094aGBmg0Gnz99dfYvXu3qd1oNMJoNKK6uhpVVVUYOHCg2Vr+/Q7+q6qqgr+/v+lDpn2b8+bNs+jf0X6QqU6ng0x257+mTqfjB9NDEGW/IBIVAwj1eUql0qLTVF1cXEx/bz9D4bXXXkNERESnvr6+vjh+/HinAwQ7BoO73e85S7R/K6+rq4Orq6upva6u7p5T83RvouwXRKLiWTDkkLy8vODl5YXr16/D39/f9Lh69Sp27NgBvV6PwYMHQ61Wo6GhwfS6ixcv3nPMwMBAqNVqNDU1mdquXbuGxMREXLlyBRKJ5L41BQcHw9XVFRcuXDC1abVaXLp0CSNGjHiEfy1ZqjfuF0SiYgAhhySRSDB9+nTk5+fj0KFDUKvVOHv2rOlgQjc3N0RHR8Pb2xsbN25EZWUlSktLkZ2dfc8xn3vuOXh4eODzzz9HZWUlLl26hK1bt8Lf3x+BgYGmWY3KykpotdpOr5fL5Zg8eTJycnJw+vRp/Pbbb9i4cSN8fX0xZsyYnnkjyExv3C+IRMW5QXJYsbGxcHFxwaFDh7B9+3Z4enpi3LhxmD17NoDb15FYuXIlMjMzkZycDA8PDyQkJGDLli1djufi4oIPP/wQ2dnZSE5OhlwuR0REBF5//XVIJBKEhIRApVIhLS0NL774IubPn99pjFmzZsFgMCAjIwMtLS0YPnw4VqxYwWl8G+qN+wWRiCRGS66CQ0RERGRFXIIhIiIim2MAISIiIptjACEiIiKbYwAhIiIim2MAISIiIptjACEiIiKbYwAhIiIim2MAISIiIptjACEiIiKb+3/k2nQiPsAsYAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.9788631017169341\n",
+      "Sensitivity: 0.8936170212765957\n",
+      "Specificity: 0.9790040092846592\n",
+      "Precision: 0.06572769953051644\n",
+      "f1 score: 0.12244897959183673\n",
+      "AUC value is: 0.9766388830273617\n",
+      "Model classification metrics have finished calculating!\n",
+      "{'accuracy': 0.9788631017169341, 'sensitivity': 0.8936170212765957, 'specificity': 0.9790040092846592, 'precision': 0.06572769953051644, 'f1': 0.12244897959183673, 'auc': 0.9766388830273617, 'pr_auc': 0.6822765339665648}\n",
+      "Model fitting and results are complete!\n",
+      "Accuracy with all fraud results is 100.0%\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x1440 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# finalcolstouse is list of features that are significant (p < 0.05) for logistic regression + response\n",
+    "# modelpipeline.run_model(self, df, varlist, response, testratio, standardize, sampletype, modelname, text, CV)\n",
+    "results = modelpipeline.run_model(df, finalcolstouse, 'Class', 0.2, True, 'naive', 'LogisticRegression', 'Logistic Regression with backward linear selection', False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Oversampling is complete!\n",
+      "[[55698  1170]\n",
+      " [   10    84]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiAAAAERCAYAAABCRxyJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1QVR/vA8S9VigUFG1ZQQUCxxI4FbLHHXmJ5bRE7GruJGsUSO0RRsWGM7TXGimiUqLHFXhKxY68oVVCk7e8PfuzrFVCIKNfL8znnngOzs3Nn9255dmZ2V09RFAUhhBBCiE9IP7srIIQQQoicRwIQIYQQQnxyEoAIIYQQ4pOTAEQIIYQQn5wEIEIIIYT45CQA0QFyI9OnI+s655LfXuia7N6mMxyABAUFMX78eBo2bIizszMNGzZk/Pjx3Lp166NV7tSpU7Rs2ZIKFSrQokWLLCt30aJF2Nvbk5CQkGVlpmfr1q3Y29tjb2/P1atX08xz/fp1Nc+DBw8yVf6vv/7KzJkz35uvYcOGjB49OlNlv+1j/R4pevbsSbdu3bK83LQ8ePAAe3t7fv311wzP88cff2isw5Tf9u7du/+6Hm9uH29+KlasiJubG99//z1hYWH/unxtZm9vz8KFC7O7Gml6e395ez/7t8eQ7Dj2fMj2+bFlZD8cP3489evXV///lMcJbZAVx+60LF26lOXLl6v/v72ePwXDjGTatGkTnp6eVK1alWHDhlG4cGHu37/Pzz//TIcOHVi5ciVffPFFllfuxx9/5NWrV/j4+GBhYZFl5Xbo0IHatWtjaJihxc8S+vr67Nmzh/Lly6ea5u/v/6/LXbp0KVWrVn1vPm9vb3Lnzv2vvwc+3u+RHQoVKsT69espXbp0hudZs2aNxomjQYMGrF+/niJFinxwfRYuXEihQoXU/2NiYjh37hyrVq3i5s2bbNq06YO/Q9usX78ea2vr7K5Gmt7eXzK6n4mP7/vvv8/uKugELy8vBg4cqP4/cOBAvv76609ah/eegS9cuMC0adPo2rUrkydP1pjWvHlzOnbsyNixY9m3bx8GBgZZWrmIiAiqVKlCgwYNsrRca2vrT37g++KLL9i7dy8jR45MNW337t04Ojpy+fLlj/b9FStW/OAyPtbvkR2MjY2pVq3aB5VhaWmJpaVlltTHycmJUqVKaaQ1aNCAxMREVqxYwc2bNylbtmyWfJe2+ND1/zFlxf4iPg57e/vsroJOyszFWFZ5bxfMypUryZMnD2PGjEk1LW/evIwfP55WrVoRFRWlpgcEBNChQweqVKlCnTp1mDRpEuHh4er0RYsW0aRJE44ePUq7du2oWLEiDRs2ZM2aNcD/muUePnyIv78/9vb2bN26Nd0mxW7dutGzZ0/1/ytXrtC3b1+qV69O5cqV+frrrzl27JjG97/dDPqhdX6f5s2bc+fOnVRBxoULF3jy5AnNmjVLNU9gYCDdu3enSpUqVKhQgWbNmvHLL7+o01PW0a5du9SdMqWey5cvp2bNmtSpU4cnT55oNOP9+OOP2Nvba6yTwMBA7O3t01ye9H4PgDt37jB8+HDq1q1LpUqV6NGjB6dPn04179q1a2ndujWVKlVi7dq1GVpn6Tl+/Djdu3fniy++oEaNGowcOZKHDx9q5Dl//jzdu3encuXKuLm5sW7dOnr37s348eM16pXS9KsoCosXL6ZJkyZUqFCBBg0aMH36dF6+fAkkN4OeOnWKc+fOqV1laW2PR48eVX8zFxcXJkyY8EFdKHnz5k2V9uTJE0aNGkXNmjXVdX7hwgWNPNHR0UyePJnatWtTpUoVRo0axdq1azUO3j179mTs2LGMGjWKKlWq0KVLFwDi4uKYN28erq6uVKhQgZYtW7Jt2zaN8u/fv8/QoUOpVasWzs7OtGvXTqMl733rE1J3wYSEhDBx4kRcXV1xdnamffv2BAYGanyvvb09Gzdu5IcfflCX/5tvvuHevXtprr+kpCRq1arF1KlTNdKqV69O69atNfIOGDCAfv36AZrN3mntZymOHTtG+/btM308OHToEM2aNaNixYp06NBBY1+E5O1z7Nix1K1bFycnJ2rXrs3YsWNTbUv+/v60b9+eSpUq0aBBA2bOnMmrV6/S/M7o6Gg6depE3bp1uX37Nm3btmXAgAEaeVq3bk21atVITExU06ZOnaoenxITE1m+fDmtWrXC2dmZypUr07VrV/766y81/9atW3F0dGTbtm3UrVuXGjVq8PfffwOwZcsWmjdvjrOzM506deLmzZsZWl9versLJqPbxLlz5+jZsyeVK1emevXqjBo1iqdPn2rkuXr1qrpdOzk5Ua9ePTw9PTXWacOGDfnxxx/p168flSpVYsSIEWnWMzw8nHHjxlG3bl0qVqxIixYtUh37IiMjmTJlCi4uLlSsWJH27dvz559/vnP5k5KSWLlyJU2bNqVChQo0btyYVatWpRrPkd6xKOXYB7Bs2TIaNmwIpO6CSUxMZMOGDepxu0GDBsyePZvY2Fg1z/jx4+nduzc7d+6kefPm6nlq586d71yGFO8MQBRF4ciRI9SuXRtTU9M08zRs2JCRI0eSP39+AJYsWcLIkSNxdHRk4cKFDBo0iN9//51evXpp/IjPnz/nu+++o2PHjixduhQnJydmzZrFsWPH1ObxggULUrduXdavX5/hq+7o6Gj69OlDrly5mDt3Ll5eXhgZGeHu7s79+/fTnCcr6vw+tWvXpkCBAuzZs0cj3d/fX532pkOHDjFkyBDKlSvHokWL8PLyolixYkyfPp0zZ84ApFpHKR4/fsz27duZM2cOo0ePTtVFMHLkSMqUKcPkyZN59eoVoaGhTJo0ibp16/Kf//wnVd3T+z1u3rxJ+/btuXPnDuPGjWPOnDkA9O7dW+OABDB37ly6du3K7NmzP6gFZceOHfTp04cCBQowZ84cxo4dy/nz5+nSpQvPnj0DIDg4mN69e5OYmMicOXMYNGgQS5Ys4dy5c+mW6+vri5+fH3369GHFihX06dOHzZs3q/3+3t7eODg4YGdnx/r16zW6S1IcPnyYb775BlNTU+bMmcOYMWM4evQogwYNeu9yJSYmkpCQoH7Cw8PZu3cvq1atwtnZGVtbWyD5oNa1a1fOnz/P2LFjmTdvHgYGBvTq1YtLly6p5Q0ZMoTdu3czaNAg5s2bR0REBPPmzUv1vQEBAbx+/ZpFixbh7u4OwLBhw1i3bh3dunXDx8eHatWqMX78eHUbS0pKYsCAAYSGhjJ9+nR8fHwoWbIko0aNUrfN963Ptz1//pyOHTty4sQJhg4dysKFC7G2tmbIkCGpgp+FCxcSERHB7Nmz+f7777lw4QJjx45Ns1x9fX3q1avH8ePH1bRLly4RFRXFjRs31BP669evOXXqlHowflN6+xnAxIkT6dSpEz4+Ptjb2zNr1qz3nkAAJkyYQNeuXVm4cCFmZmYMGDBAHSMWGxtLr169uH79OhMnTmT58uV0794df39/5s+fr5bx3//+l1GjRmFra4uXlxfu7u789ttvTJw4MdX3vXr1ioEDB/L48WPWrl2LjY0Nrq6unD59mri4OABCQ0O5ceMGL1680LhQOnz4MG5ubgDMnz+fxYsX06FDB3x9ffnhhx8IDw9n+PDhxMTEqPMkJibi7e3NlClTGDNmDI6OjmzatInvvvuOatWqsWjRIurXr59mi/C/8b5t4uzZs/Tq1QtIPhZNnDiR8+fP06NHD6Kjo4HkALh79+5ERUUxffp0li1bxpdffsm6devw8/PT+L5169ZRvHhxFi1aRNeuXdOs06hRo7h06RITJ07E19eXWrVqMWPGDPXkHBcXR+/evdm7dy+DBg3C29ubEiVKMHDgQA4cOJDusnp6erJgwQKaNm2Kj48PLVu2ZN68ecydO1fN865jUcrxHKBt27Z4e3un+T2TJ09m+vTp1K9fn59++olu3bqxfv16Bg4cqBHsBAUFsWjRIr755ht8fHywsrJi7Nix3L59O91lUCnvEBoaqtjZ2Slz5859VzZVRESEUqFCBWX8+PEa6SdPnlTs7OyUn3/+WVEURfnpp58UOzs75dChQ2qely9fKk5OTsq0adPUNDc3N2XUqFHq/7/99ptiZ2en3LlzR6P8rl27Kj169FAURVEuXLig2NnZKWfPntVYjpkzZyrXr1/X+P74+Pgsr/Pb3qzzlClTlMaNG6vTEhISFBcXF2Xbtm3K5s2bFTs7O+X+/fuKoiiKr6+vMnLkSI2ywsLCFDs7O8XHxyfddZRWPdPK9/fffyuOjo7KvHnzlCFDhig1a9ZUQkJC0l2OtMrw8PBQqlevrkRGRqppcXFxStOmTZW2bdsqiqIo9+/fV+zs7BQPD493lq0oitKjRw+la9eu6U5PTExUXFxclJ49e2qk37lzR3FyclJmzpypKIqijBkzRqldu7YSExOj5jl79qxiZ2enjBs3TqNemzdvVhRFUfr166f06dNHo9wtW7aov39a9Xt7e+zYsaPSsmVLJTExUc1z6NAhpWHDhsqtW7fSXKaUMtL61KhRQ5kwYYISGhqq5l+wYIHi5OSk3L59W02Li4tTWrRoofTt21dRFEU5fvy4YmdnpwQEBKh5EhISlObNmyt2dnYay+Po6Ki8ePFCTTt27JhiZ2enbNu2TaOe33//vVKtWjXl1atXyrNnzxQ7Oztl586dGnWYMWOGcubMmQyvTzs7O2XBggWKoijKnDlzFCcnp1T7ds+ePZVatWop8fHx6jwdOnTQyLNw4ULFzs5OCQsLS3Md7969W7Gzs1MePHigKIqiLFu2TGnTpo3i5OSk7NmzR1EURTl8+LBiZ2enPHz4UFGU1Nt6evtZYGCgmvbixQvFwcFBmTVrVpr1eHO+N9fdq1evFBcXF2X48OGKoijK5cuXlS5duijBwcEa87q7u6vHj6SkJMXFxUXp37+/Rp5NmzYpX375pRIVFaVuW9evX1f69u2ruLi4aJSZcqw8efKkoiiKsmvXLsXFxUWpV6+esnLlSkVRFCU4OFixs7NTTp06pSiKoowYMUJZsWKFxnfu3btXsbOzU06fPq0oyv+26fXr16t5Uuo7cOBAjXl9fHw09sO0jBs3TqlXr576/9v7YUa2ia5duypNmzZVXr9+rea5d++e4uTkpCxbtkxRlORtoEuXLhrHM0VRlFatWin/+c9/1P/d3NyUunXrqttkeipWrKgsXbo0Vb0OHDigKIqiHvNT1n+Kvn37Kk2bNtX4vpRt7/bt24q9vb2yaNEijXmWLl2qODg4KI8ePVIUJWPHojf3P0XRXM83btxQ7OzsUn3P1q1bNbb7cePGKXZ2dsqNGzfUPHfv3lXs7OyUVatWvXP9KIqivLMFJGVMx5vNce9y4cIF4uLiUjVt1qhRg2LFinHq1CmN9DcHrpqammJhYaHRRPtvlCtXjoIFCzJo0CCmTp3KH3/8gbGxMRMmTKBcuXLZWucWLVpw79499Ur15MmTvHjxgsaNG6fKO2DAABYsWEBsbCxXr15l7969rFy5EkC9YnmX9/WTVqxYEXd3d1auXMn+/fuZMWMGBQsWzNBypDh16hT169fX6CYwMjKiVatWXL58mRcvXqjpdnZ2mSo7Lbdv3+bZs2epfqtSpUpRpUoV9bc6ceIE9evXx8zMTM1TtWpVihUrlm7ZLi4uHDt2jB49erBmzRpu3LhBhw4d1Kum94mNjeWff/6hSZMm6Ov/b7dq0KABf/zxBzY2Nu+c38fHhy1btrBp0yZ69eqFgYEB//nPf5g5c6ZG69iJEyews7OjePHiamuJnp4ebm5unDx5kri4OE6cOIGBgQFNmjRR5zMwMEjzziVra2uNwZYpLVcNGzbUaJFp3LgxUVFR/P3331haWmJvb8+kSZOYMGECAQEBREdHM3HiRHX/yOz6PHXqFBUrVkw1DqZt27aEhYVpNNW/PeC9aNGiAOl2PdSrVw9DQ0O1FeT48eM0aNCA8uXLc/LkSQD+/PNPypcvn+mxYTVq1FD/zp07NwUKFCAyMvKd8xgYGGh0uZqYmFC/fn113Ts4OLBp0yZsbGy4f/8+R48exc/Pj1u3bqn7fsq+8OWXX2qU3aVLF/bu3UuePHnUtPHjx6tXvyktaQDOzs5YWVlprJeaNWtSpUoVdb0cPnwYCwsLdQDuwoUL6d+/PxEREVy4cIHt27erXW/x8fEadXlzn0+p75vbJJBqX/633rVNxMbGcuHCBdzc3NDX11e36aJFi+Lk5MTRo0eB5O1k06ZNmJubc/v2bQ4dOsSyZcsICwtLdcwtU6bMe29iqFOnDosWLWLkyJFs3bqVp0+fMmLECLU16a+//iJ//vxUrVo11b52586dVN3KkLz/K4pC48aNNeZp0qQJiYmJnDhx4oOPRYB6LH3792ndujUGBgYa58V8+fJpjE9LaXHPyHnxnWswX758mJubp7kiUrx+/ZqoqCgKFiyo7nhWVlap8llZWWmME4HkHe9N+vr6H3xfspmZGRs3bsTX15fff/+dDRs2YGxsTNOmTfnhhx80dkzgk9a5WrVqFC5cmD179lChQgX8/f1xdXVN8+6U8PBwpk6dyv79+1EUhVKlSqmD9jLyfWktz9vatWvHkiVLyJcvH9WrV8/QMrwpMjIyzaAl5bvfDEAyG9ykJSIiQqP8t7/z0aNHAISFhaldgmnVKy29e/cmd+7c/Pbbb8yZM4fExERKlSrF6NGjadq06XvrFhkZiaIoGVrvaSlXrpx68q1SpQrGxsZ4e3uTK1cudVwCJG8Xd+/excnJKc1ywsPDCQ8PJ2/evKkOkGkNmH27vinjntLbHp4+fYqenh5+fn74+vqyf/9+tm7dioGBAfXq1WPq1KkUKVIk0+szMjIyzTvE0tqW0toHIblrKC158uShatWqHD9+nDZt2nD+/HkGDBhAQkKC2l1y5MgRmjdvnub87/J213RGjgcWFhYYGRlppFlaWmoca37++Wd8fX0JDQ3FysqKChUqYGpqqva/p/xOGdneHj9+jLOzM0uXLqV169bqBYOenh7169fn+PHjjBgxghMnTjBw4EDi4+NZsGABiYmJHD58mPr166sXo0FBQXh6enL+/HlMTEyws7NTT/ZvL/eb+3zKvvt2V3NaXZn/xru2icjISJKSkvDz80vVlQL/G3yZlJSEt7c369atIzo6mqJFi+Ls7EyuXLlSLVtG1vv8+fNZuXIlAQEBBAQEoKenxxdffMGUKVOws7NT99X09uWnT5+mumhK+d2/+uqrdOf50GMRpH9eNDQ0JH/+/BrbanrrPiPnqffeBVO3bl1OnjxJbGxsqi8C2LNnD+PGjWP58uXky5cPSO7PffuKNyQkhEqVKr23Qu+ip6cHpG6RiY6O1rgttESJEkyfPh1FUbh69SoBAQGsWrWKfPnypbqT52PX+U36+vo0a9aMvXv34uHhwf79+9PtEx81ahTBwcH4+flRuXJljI2NefXqFZs3b86SuiiKwuTJkylatCgxMTFMmzYtzTEC75IvXz513MWbQkJCgOQDbVY+wyLlN37+/Hma35kSdBQpUoTQ0NBUeUJDQzWuAN+kp6dHp06d6NSpE1FRURw9epTly5czcuRIDh48+N4DZe7cudHT00u1vImJiRw5coSKFStm6o4ZDw8PDh48yMKFC6lXr566bebJk4cvvviCCRMmpDlf/vz5KVy4MJGRkcTHx2uc6NJaJ2/LkycPJiYmrFu3Ls3pxYsXB5JPmBMnTmTixIncunWLwMBAlixZwpQpU/D19c30+nzftpRWQJkZbm5uLF++nHPnzpGUlETVqlVJTExk1apVnD9/njt37qQ5/uNjiIqKIikpSePq9Pnz5+rJedeuXcycOZMxY8bQvn17Nd3Dw0M9AaUEEW9vb9HR0Zw/f57KlSuraT/99BOWlpa0adOGWbNmMWvWLHWaq6srO3bsICgoiIcPH1KzZk0SEhKIjo7mzJkznD59mtmzZ6tl9+3bF3t7ewICArCxsUFfX58///yT33///Z3LnLIMb//Gbw70/1hS9s2ePXvSpk2bVNONjY0BWL58OStXrmT69Ok0btxYvVjt2LHjv/pec3NzPDw88PDw4NGjRxw4cAAfHx++/fZb/P39yZMnDyVKlEj3WThptVSk/O5+fn6pLqYhOaDLimPRm+dFc3NzNT0+Pp7w8PAP3h9TvPcumL59+xIZGZnmySkiIgIfHx+KFCmCi4sLlSpVwtjYmF27dmnkO336NI8fP/7gZ4WktBQ8fvxYTXv27JnGYJe9e/dSq1YtQkJC0NPTw8HBQR2olVZLzseu89tatGjBgwcPWL58OYqipDsg8+zZszRu3JgaNWqoO0jK1dqbkeWbB7HMWL9+PcePH8fT05MxY8awa9eu9x5E3la9enUOHz6sEQ0nJCQQEBCAo6OjRhdIVrCxsaFgwYKpfqt79+5x8eJF9beqXr06R44c0WiSDwoKeudD3rp27YqnpyeQvJO3aNGCgQMHkpCQoI6Uf9e6Njc3x8HBgcDAQI3f5+TJk7i7uxMcHJypZTU2NuaHH34gPj5erRckN/nfvn2bUqVKUbFiRfUTEBDAmjVrMDIyokaNGiQlJWncQaIoCvv373/v99asWZPY2Fji4+M1yr979y5eXl68evWK8+fPU6dOHfXOBltbWwYMGEDNmjXVfSwj6/NN1atX559//kl158LOnTspUKBAhpqN38XNzY3w8HDWrVtHpUqVMDU1pVq1ahgZGTF37lwKFiz4zltv/+1+lpb4+HiOHDmi/h8dHc3BgwepWbMmkLzvm5mZ0b9/f/XEHR0dzdmzZ9VWHltbW/Lnz8++ffs0yt6zZw/9+/fX6AYqWLAgNjY2DBgwgK1bt2oMyHVxcUFfX58lS5ZQtGhRSpUqRZkyZShUqBDe3t4oiqLeGXHr1i0iIiLo3r07ZcqUUddJynEpvRYoSG5lKFasGAEBARrpb9/l9DGYm5vj5OREcHCwxjZtb2+Pj4+PWv+zZ89ia2tLu3bt1JP7kydPuH79eqZb5h8+fEiDBg3U5bW2tqZHjx40b95c3Udq1qzJkydPsLCw0KjXmTNn8PHxSXObS2mZDA0N1Zjn5cuXzJs3j5CQkAwfi961Tad0Lb59rN29ezeJiYlZdl58bwtI5cqVGTFiBAsXLuTWrVt89dVXWFlZcfPmTX7++WfCw8NZu3YthoaGWFhYMGDAABYvXoyRkRGNGjXiwYMH/PTTT9jY2NChQ4cPqmzt2rUxMzPjxx9/xMPDg7i4OHx9fTUiwapVq6IoCgMHDqR///7ky5ePI0eOcOPGDfr375+qzI9d57dVrlyZYsWKsWzZMlq3bq0GF29zdnbG398fJycnihQpwrlz51i5ciV6enoafWt58+bl2rVr/PXXX+oB7H3u3r3LvHnzaNeuHXXr1gWSN7QpU6ZQrVq1DF+pDx06lMOHD9OjRw8GDBhArly5+OWXX7h//z6+vr4ZKuNtISEhad7KWLJkSRo2bMi3337LhAkTGD58OF999RWRkZEsXryYPHny0LdvXyD5gToBAQH069ePvn37EhUVxU8//YS+vr7aiva26tWrq61k1apVIzQ0lMWLF2NjY4ODgwOQvK7PnTvHsWPHqFKlSqoyhg8fzqBBgxgyZAgdO3YkIiICb29vatWq9a+eeVGjRg1atWqFv78/u3fvpmXLlvTp04edO3fSq1cv+vTpg6WlJYGBgWzcuBEPDw/09PSoXr06Li4uTJ48mdDQUIoVK8aWLVu4ceNGusufon79+tSoUYOhQ4fi7u5OuXLluHz5MosXL6ZKlSpYW1tjaWmJqakpo0ePZvDgwRQqVIiLFy9y9OhRBg8enOH1+aaU5erduzeDBw+mQIECbN++nZMnTzJ9+vQPfsaQjY0NpUuXJjAwkCFDhgDJ3bUVK1bk7NmzdOrU6Z3r5t/sZ+kxMjJi0qRJjBgxgrx587JixQpiY2PVelWqVImNGzcyffp0GjZsSEhICKtXr9a4GjUwMGDYsGFMmzaN7777jqZNm/LgwQO8vLxo164dxYsXTzV+zd3dnd27dzNp0iR27dqFmZkZuXPnpnr16gQGBtK2bVs1b82aNdm1axd16tRRL/xsbW3JkycPvr6+GBgYYGRkxN69e9m+fTuQ/hicFGPGjGHkyJGMGjWK1q1bc+PGDXVc28c2atQo+vfvz/Dhw9VWkF9++YUzZ87Qu3dvIHm9HzlyhCVLllClShXu3r3L8uXLiYuLy/TYxGLFilG0aFGmT59OZGQkpUuX5ubNm2zbtk3t6mvXrh3r16+nT58+DBgwgOLFi3Py5ElWrFhBu3bt0ryAs7Ozo23btkyePJn79+9TqVIl7t27h7e3N1ZWVurYv4wci/LmzcvFixc5c+ZMquNT2bJl1S762NhYatSowdWrV1myZAnVq1fH1dU1U+sjPRl6FOjAgQNxcnJi/fr1zJ8/n/DwcIoUKUKtWrUYNGgQJUqUUPMOGzYMKysr1q1bx9atW7GwsKBZs2aMHDlSoynn38idOzc+Pj7MmzePESNGUKRIEfr27UtQUJB65VSoUCFWr16Nl5cX06ZNIyYmBhsbG2bOnKmxg73pY9Y5LS1atGDFihXvHID1448/4unpqXbRlC5dmh9++IGAgADOnj2r5nN3d2fKlCkMHjw4VbSalqSkJMaNG4e5ubn6TAyA6dOn07p1ayZNmsSSJUsytBzlypVjw4YNLFiwgEmTJgHJgdPPP//8r8aUQPLzD95sIk7RqFEjGjZsSPv27TE3N8fX15cRI0Zgbm6Oi4sL3377LYULFwaSB6WuWrWKOXPmMHLkSKysrBg0aBCLFy9O9/ccMWIEpqam7Nixg5UrV2JmZoaLiwtjxoxRx1L07t2bixcvMmjQIFavXp2qDDc3N3x9ffHx8cHDwwMLCwsaN27MyJEj//UV9NixYzl48CCzZ8/Gzc2NQoUKsWnTJhYsWMDMmTOJjY2lZMmSTJkyReMphgsXLuTHH3/E29tbHdjWtWtX9WSRHn19fZYvX85PP/2En58fz58/p1ChQnTr1o2hQ4cCkCtXLvz8/Jg/fz5z584lMjKSYsWKMWLECP8gsWUAACAASURBVDXIz8j6fFPBggXZuHEj8+fPZ86cObx+/Rp7e3v1WSJZwdXVlTVr1mgEELVr1+bcuXPqwMD0ZHY/e5d8+fIxceJE5s2bx9OnT3F2duaXX35RB/K1bduW+/fv89tvv7F582YKFy5MgwYN6NmzJ99//z1Xr16lfPnydO/eHXNzc1atWsWOHTsoVKgQ3bt3V4PAtxkbGzN16lR69erFwoUL+e6774Dk7TZlAOqb62XXrl0a6yXl+DtnzhxGjRqlXmmvW7eOAQMGcObMmXf+Vs2bN0dfXx8fHx+GDRtG6dKlmTt3Lt98880Hrc+MqFOnDn5+fixevJjRo0djaGiIg4MDK1eupFatWkDywP+wsDA2bNiAr68vRYsWpW3bthgaGrJkyZJMdz34+PiwYMECli5dSlhYGIUKFaJHjx7qfmRmZsa6detYuHAh3t7eREVFYW1tzbBhw965TmbOnImNjQ1bt25lyZIl5M+fnyZNmuDh4aFe0GbkWDR06FC8vLwYPHiwOhD3TTNmzKBUqVL89ttvrFmzRqP+WfXQUT3lQ0d9CqFljh49ipGRkcYBNTIyEhcXF8aPH0+PHj2ysXYf34MHDzh79ixNmzbVGCQ5fPhw9QFqQgiR3T7dy1CE+ESuXbuGl5cXI0aMwNHRkYiICH7++Wfy5cv3UV6ip20MDAyYNGkSf/zxBx06dMDAwIAjR46wb98+9WFxQgiR3aQFROicpKQkfH192b59O48fP8bMzIyaNWsyevRoje5CXXbixAl8fHy4cuUKCQkJlC1blr59++aIAEwI8XmQAEQIIYQQn1zW3VsmhBBCCJFBEoAIIYQQ4pOTQahCCCG0jl6T4hnOq+xP/yGDQntJACIyLDMHBKH7Ug76MQkv3pNT5CTmhqkfEf6vvOeheeLzJwGIEEII7SMDBHSeBCBCCCG0j7SA6DwJQIQQQmgfiT90ngQgQgghtI+BRCC6TgIQIYQQ2ke6YHSeBCBCCCG0j8QfOk8CECGEENpHXyIQXScBiBBCCO0j8YfOkwBECCGE9pExIDpPAhAhhBDaR+6C0XkSgAghhNA+En/oPAlAhBBCaB/pgtF5EoAIIYTQPnIXjM6TAEQIIYT2kfhD50kAIoQQQvtIC4jOkwBECCGE9vlIAcijR48YMWJEqnR3d3caNWrEnTt3WLNmDcHBweTOnZvmzZvTpk0bNV9SUhJbtmzhjz/+ICYmhvLly9O/f3+KFCmi5smKMnICCUCEEEJon4/UAHL37l1MTU3x9vbWSDczMyMqKgpPT0+qV69O//79uXnzJitXrsTMzIzGjRsDsGXLFvbt28fgwYOxtLRkw4YNzJgxg/nz52NsbJwlZeQU+tldASGEECIVPb2MfzLh3r17FC9eHAsLC42PsbExgYGBGBoa8s0331C8eHFcXV1p1aoVO3bsACA+Ph5/f386depE1apVKVWqFB4eHkRERHDixAmALCkjp5AARAghhPbRz8QnE+7evUuxYsXSnHb16lXKly+PgYGBmubk5MTTp08JCwvjzp07xMbG4uTkpE43MzPDxsaGy5cvZ1kZOYV0wQghhNA+mWjZiImJISYmJlW6ubk55ubmGmn379+nSJEiTJo0iSdPnlC0aFE6dOhApUqVCAsLw9nZWSN//vz5AXj+/Dnh4eEAWFpapsoTGhoKkCVl5BQSgAghhNA+mRiEunv3brZs2ZIqvWPHjnTu3Fn9PzY2lpCQEPLmzcvXX3+Nqakphw8fZubMmXz33Xe8fv0aQ0PN06KRkRGQ3HXy+vVrjbQ388THxwNkSRk5hQQgQgghtE8mulZatmyJq6trqvS3Wz9MTEz4+eefMTQ0VIMEW1tbHj58yM6dOzE2NiYhIUFjnpSgwMTERB0gGh8frxFkxMfHY2JiApAlZeQUEoAIIYTQPpnogkmrqyU9aZ3kS5YsydmzZylcuDBhYWEa097sMlEURU0zNTXVyFO8eHEArKysPriMnEIGoQohhNA+epn4ZND169fp1asXN2/e1EgPDg6mePHiODg4cO3aNRITE9VpQUFBFC1aFAsLC0qVKoWpqSlBQUHq9JcvX3L79m0cHR0BsqSMnEICECGEENpHXy/jnwyytbWlUKFC+Pr6cvXqVR4+fIifnx/Xrl2jQ4cOuLm5ERsby9KlS3nw4AGHDx/G39+fdu3aAcnjNJo1a8bGjRs5ffo0d+/exdvbmwIFClCrVi2ALCkjp9BTUtqDhHgPvSY5q3lQvJuy/wEAMQkvsrkmQpuYG+bJknL0hlXMcF5l0T8ZzhsWFsaGDRu4ePEiL1++xNbWlm7duqmtD8HBwfj5+XH79m0sLCxo2bIlLVq0UOdPSkpi48aNHDp0iNjYWBwcHOjXrx+FCxdW82RFGTmBBCAiwyQAEW+SAESkJasCEH0P5/dn+n9J3n9nyXeKT0sGoQohhNA6epl8wqn4/EgAIoQQQutI/KH7JAARQgihdfQlAtF5EoAIIYTQOtIFo/skABFCCKF19PXlKRG6TgIQIYQQWkcaQHSfBCBCCCG0jnTB6D4JQIQQQmgdCUB0nwQgQgghtI5eZl7yIj5LEoAIIYTQOtICovskABFCCKF1DDLxkjnxeZIARAghhNaRFhDdJwGIEEIIrSMBiO6TAEQIIYTWkfhD90kAIoQQQutIC4jukwBECCGE1pEARPdJACKEEELryLtgdJ8EIEIIIbSONIDoPgkxhc4rkMcCZf+DVJ9fJ/kC8IWdc5rT5w74XqOcoV/14fqaI7z0v8nfywPpVL+VxvSq5Sryx5z/8tL/Jg83nWGe+yRMjE008jiULMeemesI3xbEvfWn8B48DXMTs4+7AkSm/XngT+pWr5/u9F/WrKNr+6810ny8l1DVqVqan6+at1PzRUREMGnCZNzqNMK1dkM8p8wgJibmoy3L50pPTy/DH/F5khYQofMqlXEEoOn4r4l6Ga2mh0aFA+Bs40D0qxgaj+umMd+j50/Uv8d0HsSMPmOZtGYep69foEuDNmz6bgnPIsM4dPE45YrZcGjer9x8dIevZw3FyMAQz95jqFDanmYTegBgkTsfgXM28ij0Kd1nDaOghSVzv/kea8vCdPJ0/9irQWTQxfMX+X78ZBRFSXN64O+BLFq4CNsyZTTSO3bpQD3Xehppt24GM23ydNp1+EpNGzV8DCFPQ/huygRevnyF1zwvwsPCWLBoftYvzGdMAgvdJwGI0HnONg48CQth/9nDaU+3deDSnWucvHIuzel5zHIzpcdIJqz6kflbkltNDpw/hn2JMjT9oj6HLh5nWNu+JClJNB3/Nc8jwwC4eOsy1/wO07xGQ/acOkDTL+pjbVmEuiPac/vJPQCMDY1ZPnI2lnnzqwGRyB5xcXFs+GUjSxctw9TUlKSkJI3p0dHRLF+ygvVrN5AnT55U8xcuUpjCRQqr/yckJDBr2ixq1q7Bf/r9B4ATx09w/ux51m3+BUcnBwCsClox1H0Y16/dwM6+3Edcws+LvgQgOk+6YITOc7Z14O/bV9KfbuPA37fSn970iwaYGOdi5Z6NGumuozoycfWPANgVt+H8zSA1+AC4/uAWzyJCaVbNFYBcRsYARL18oeZJCToK5LHI3EKJLHfsyHH8Vq5hxGgPunTvkmr61l+38fuefcyaNxOX+i7vLe+3zVsJvnmLsRPHqlfzJ/86RcFCBdXgA6Bm7RqYmppy/OjxrFsYHaCvr5fhj/g8SQuIDomKiiIwMJArV67w/Plz4uPjMTExwdLSEkdHRxo1akTu3Lmzu5qfnLOtA7FxrznmtZ2q5SrwPDKcn7avZu7mpQBUtCnP6/g4zi/7HceS5bgX8gjP9V6s3b9Fnf9xWAiVyzixYOBkKtqU587TB4xfOYutRwMAuP/sMa7OtTW+N595XvLnyUfpIsUB2HUikHshD1k46AdG+U6jQB4LJvcYwZnrF7nx8PYnXCMiLU4VHPH/fSd58uZhmY9vqulujdzo8nVncuXKxZ8H025NSxEbG8vypSto17EdNral1fR7d+9RomQJjbwGBgYUtS7Kvbv3smQ5dIW8DVf3SQCiI4KDg5kxYwampqY4ODhQunRpjIyMiI+PJzw8nH379rFr1y6+//57Spcund3V/WT09PRwLGlHTOxLRi/35F7II1rUaMisvuPVVo2CFpaUK2bDhNWzCH8RSTe3tvw81gtFUfgl8DcK5itAblMzNn3nw7R1Xlx7EEz/5t34ddIyXEa05cSVc6z/Yxv9m3dj0dDpTF/vTS4jYxYN9SQhMUEdZBoRHYm713h+m7ycno07AHD78T3qfdshO1eR+H+FChd65/QSJYtnuKw9/nuJioyiZ+/uGunR0TGYmacedGxmbkZMtAxEfZOMAdF9EoDoCD8/P6pVq8bAgQPTvH8+KSmJZcuW4efnx9SpU7OhhtlDT0+PVpP+w72QRwQ/ugPAoYvHyW1qxrjOg5n36zK+nNCdv29d4UlYCAB/nD+KtWVhpvQcyS+Bv2FkaIRF7nz0mu3BL4G/AXDwwnEcS9oxqccIWn7Xi0MXjzPQezzzBkxi6Fe9eR33moVbV2KZNz8vY18B8GU1V3ZOW82uE4Es8/+F3KbmTOruwf7ZG6g7oh1hLyKyZR2JrLf1163Ua1CX4iU0gxZFUdK+slcU9KQrQYMEILpPxoDoiDt37vDVV1+l+/AefX192rRpw61btz5xzbJXUlISBy8cV4OPFHtPH8Lc1AzboqXYd+ZPNfhQp585RBnr0pibmBH9KkZNS6EoCgcuHKNi6fJqmq//OvK3c8KhnyuFO1dhwqpZWBcorAYWozu5c+XeTTp5urP/7GG2Hd1D0/FfU9yqKB7t+3+cFSA+uZCnIQRdusyXzZummpYnT25evkzd0vHy5asc2T36Lnp6Gf+Iz5MEIDoif/783L179515bt68mebofV1W1LIw37TojlW+AhrpprmSn89RII8F7q16YPz/A0TV6cYmvIx9RUzsS27+f/BibKiZx8jQCIXkWzUdSpajc4PWJCQmcPXeTSJjoshnnpcShay5EBwEQImC1py+dlHj7ornkWFcexCMY0m5+0FXHD/2F4aGhtRrUC/VtBIlS/Dw/kONtMTERB4/ekzp0qU+VRU/C/IcEN0nXTA6omXLlixdupQ7d+7g6OiIpaWlxhiQoKAgAgIC6NIl9eh+XZbLKPk2V3MTU7y2rlTTO9RrwbX7wRjoG7DM40eehj9n+7G96vT2dZtz5NJJAPad+ROATvVbqmUY6BvQ9Iv6HA86A0DlMk6sHefFwYvHeRYRCsDAVj3RQ4+AUweA5LtiapavjL6+vhqE5M9jQbliNhy88NdHXhPiUwn6J4iy5cqkOdajRq0arPX7hSuXr+LgmNx6dvKvU7x69YoatWp86qpqtY/9KPZHjx4xbtw4evfuTaNGjQAICQlh9erVXLlyBWNjYxo0aEC3bt0wMDBQ59u7dy/+/v6Eh4dTunRp+vTpQ9myZdXpWVFGTiEBiI5o1qwZJiYmbNu2jR07dqSabm1trbGj5RR3ntxnw4HtePYeQ5KicOXeDTrVb0WHui1o+0M/Dv9zgiP/nGSZxyzy587H47AQ3Ft2x9m2PHVHtgfgxsPbrNqziZl9x6Onp0fQ3esMatWTUoWK0XFa8gPEdp3Yz5OwZ2yYsJjZ/11CRZvyTO8zBt/d67j+ILnba+bGRfw5fwu/TV7OUv9fMDcxY0LXISQmJrFo++psW0ciawXfCKZUOq0ZterUxNHJkVHDRuExajhxcfEsnOeFa8MG2JW3+8Q11W4fs2EjISGBRYsW8fr1a420GTNmULRoUTw9PQkJCWHp0qUYGBjQrVvyQwoPHTrE+vXrcXd3p3Tp0uzYsYMZM2bg5eVFvnz5sqSMnEQCEB3i6uqKq6srkZGRhIWF8fr1a4yNjbGysiJv3rzZXb1s02/+aCb18GBEu34UtSzElXs36TBtALv+2g/AV1P6MbPvOKb9ZzSWefNz7uY/NBn3NWev/62W4e41jgfPHzOy/TdY5SvAxVuXaTL+a/75/+eLRL+KodnEHiwa4snWKSt4HhnG1F8WMnPjIrWME1fO0WT810zvPYbtP6wiMiaKo5dO02X6YO4/e/RpV4r4aMLCwilrl/bVrL6+Pl4+C5gzcy7TJk8nVy5j3Bq58e24kZ+4ltrvY3atbN68GRMTzdcknDhxgmfPnjFjxgxy585NyZIl6d69O35+fnTo0AFjY2O2bdvGl19+Sd26dQEYNGgQw4YNY//+/XTs2DFLyshJJADRQfny5ctxkfS7xMbF8t3q2Xy3enaa08NfRDDIewKDmJBuGYlJifywdj4/rE3/cdlBd67RcEznd9bl8N8nqC+33Wq9gUPcGTgk/cfjz5jtme607QFb31m2VUEr5ixMe1sU//OxApDLly8TGBjInDlzGDx4sJp+5coVSpcurTEY2NHRkdevX3Pr1i2KFCnC48ePcXJyUqfr6+tTvnx5rly5kmVl5CQSgAghhNA6mQlAYmJi0nyhn7m5Oebm5hr5Fi9eTN++fbGystLIGxYWRoECmoPVU/4PDQ3F2Dh5ELqlpaVGnvz58xMcHJxlZeQkEoAIIYTQOplpANm9ezdbtmxJld6xY0c6d/5fq+SKFSuws7NTuz/eFBcXl6qr2tAw+RQZHx9PXFycRlqKlMH+WVVGTiIBiBBCCK2TmbtgWrZsiaura6r0N1s/Dh8+zNWrV5k3b16aZaQVBCQkJABgYmKitl6kpKVIeeVFVpWRk0gAIoQQQutkpgvm7a6WtBw8eJDIyEgGDRqkkb569Wp2796No6Mjt29rvpMpLCz55ZIFChRQu2zCwsIoWbKkmic8PFztZrGysvrgMnISCUB0xJQpUzKcNyc9il0I8XnK6jGow4YNU7tAUgwfPpyOHTtSt25drl+/zsGDB4mJiVGDmaCgIExNTbG1tcXQ0BBra2suX75M5cqVgeQnLV+9epXGjRsD4ODg8MFl5CQSgOiIwoULZ3cVhBAiy2T1XTDptTDkzZuXggULki9fPgoUKICXlxc9evTg2bNnbNiwgZYtW6pjNlq1aoWfnx/W1taULVuWnTt3Ehsbqz5fqXr16h9cRk6ipyiKkt2VEJ8HvSYZfxuo0H3K/gcAxCS8yOaaCG1ibpg1r3uo7Ns2w3kvuG//V9/RuXNn3N3d1ZP/kydPWLVqFZcvXyZ37ty4ubnRuXNnjfEou3btIiAggBcvXmBra0vv3r2xtbVVp2dFGTmFBCA6KiIigkePHqmP/FYUhfj4eG7evKkxKjwzJAARb5IARKQlqwKQqivaZTjvuW+2Zcl3ik9LumB00J9//sny5ctTjbQGKFSo0L8OQIQQ4lORl8zpPnkbrg7avn07Li4ueHl5YWZmxqxZsxgzZgwFChSgU6dO2V09IYR4L3kbru6TAEQHhYSE8NVXX1G0aFFKly5NVFQU1apVo3fv3gQEBGR39YQQ4r0kANF9EoDoIENDQ4yMjIDku2Pu3bsHQJkyZXj8+HF2Vk0IITJETy/jH/F5kgBEB5UpU4Z9+/YBULJkSS5evAjAvXv3Uj0CWAghtJG0gOg+ORvpoE6dOjFz5kzy5s2Lq6srv/76Kx4eHoSHh1OnTp3srp4QQrxXZh7FLj5PEoDoIAcHB7y9vUlISCBv3rx4enqyf/9+LC0tadGiRXZXTwgh3ktaNnSfBCA66s2n/hUvXpw+ffpkY22EECJzJP7QfRKA6KD3veslM++NEUKI7CAtILpPAhAd9PY7DxITE3ny5AkPHz6kefPm2VQrIYTIOAlAdJ8EIDpo2LBhaaZv2rSJ6OjoT1wbIYTIPAlAdJ8MM85BGjZsyLFjx7K7GkII8V76+noZ/ojPk7SA5CD379/P7ioIIUTGSAuIzpMARActXrw4VdrLly+5dOkStWrVyoYaCSFE5kgXjO6TAEQHPX/+PNXOa2hoSJs2bWjVqlU21UoIITJOelZ0nwQgOuiHH35Id1pERAQmJiafrjJCCPEvSAuI7pNBqDqoS5cuREVFpUp//vx5unfICCGENjHQ18/wR3yepAVERxw/fpwLFy6o/69evRpjY2ONPM+ePZPWDyHEZ0HCCt0nAYiOsLOz4/fff0dRFCA52DAwMFCn6+npYWJiwpAhQ7KrikIIkWH60gWj8yQA0RFWVlbqI9inTp3K6NGjMTc3z+ZaCSHEvyNjQHSftHLpoClTpnDlyhXOnj2rpi1btozz589nY62EECLj9PX0MvwRnycJQHTQgQMHWLBgAc+ePVPTEhISmDt3LsePH8/GmgkhRMbo6ell+CM+T9IFo4N27txJv379aNSokZo2dOhQypcvz9atW6lTp0421k4IId7PUAILnSctIDro+fPnVKxYMVW6s7MzT548yYYaCSFE5kgLiO6TAEQHFSxYkEuXLqVKv3LlCvnz58+GGgkhRObIGBDdJ10wOujLL7/Ez8+PJ0+eULZsWQCCg4PZs2cPnTp1yubaCSHE+0lYofskANFBzZo1Iy4ujt27d7Njxw4A8ufPT/fu3alZs2Y2104IId5PWjZ0nwQgOqpNmza0adOGFy9eYGhoyK1bt9i3bx9r165l/fr12V09IYR4p4/1iPWwsDDWrl3LP//8Q1xcHI6OjvTo0YMSJUoAcOfOHdasWUNwcDC5c+emefPmtGnTRp0/KSmJLVu28McffxATE0P58uXp378/RYoUUfNkRRk5gYwB0WEvX77kyJEjTJw4kWnTpnH27FkaNGiQ3dUSQoj3+hhjQBRFYdasWYSFhfHdd98xa9YsjI2NmTZtGrGxsURFReHp6UmRIkWYNWsWXbp0YfPmzQQGBqplbNmyhX379uHu7s6MGTMwMDBgxowZxMXFAWRJGTmFtIDooODgYPbv38+xY8fUDbpFixa0a9eOvHnzZnPthBDi/T5GB0xkZCTFihWjc+fOWFtbA9ChQwfGjh3LvXv3uHTpEoaGhnzzzTcYGBhQvHhxnjx5wo4dO2jcuDHx8fH4+/vTvXt3qlatCoCHhwfu7u6cOHGC+vXrExgY+MFl5BTSAqIj4uLiOHDgABMmTGDixIn89ddf1KxZk3HjxqGvr0+jRo0k+BBCfDY+RguIhYUFI0aMUIOPiIgIdu3aRf78+SlZsiRXr16lfPnyGu/RcnJy4unTp4SFhXHnzh1iY2NxcnJSp5uZmWFjY8Ply5cBsqSMnEJaQHSEu7s7iqJQuXJl2rZtS9WqVTEyMsruagkhxL+SmcAiJiaGmJiYVOnm5ubpvhPLx8eHP//8EyMjI8aOHYuJiQlhYWE4Oztr5Et5dMHz588JDw8HwNLSMlWe0NBQgCwpI6eQAERHJCUlYWZmRq5cuUhISCAxMVECECHEZyszDxjbvXs3W7ZsSZXesWNHOnfunOY8bdq0oVmzZvz+++/MnTuXadOm8fr1awwNNU+LKcfR+Ph4Xr9+rZH2Zp74+HiALCkjp5AAREcsX76cv/76i4MHD3Lo0CGMjY2pUqWKPHZdCPFZMshEANKyZUtcXV1Tpb/rjeApd70MHDiQGzduEBAQgLGxMQkJCRr5UoICExMTjI2N1bQ3g4z4+HhMTEwAsqSMnEICEB2RK1cuXF1dcXV15fHjxxw4cIDDhw9z8uRJIPn9MF999RXFihXL5poKIcT7ZaYL5l1dLW8KDw8nKCgIFxcXtYVFX1+fEiVKEB4ejpWVFWFhYanmgeQuE0VR1DRTU1ONPMWLFwfIkjJyChmEqoOKFi1K9+7dWbp0KWPGjKF69eocPXqUb7/9Fk9Pz+yunhBCvNfHGIT6/PlzfvrpJ65du6amJSQkcPv2bYoVK4aDgwPXrl0jMTFRnR4UFETRokWxsLCgVKlSmJqaEhQUpE5/+fIlt2/fxtHRESBLysgppAVEh+nr61OtWjWqVatGVFQUhw4d4tChQ9ldLSGEeK+P8ZK5MmXK4OTkhK+vL+7u7piZmbF161ZevHhBq1atyJUrFzt27GDp0qW0bduWW7du4e/vT//+/YHkcRrNmjVj48aNWFhYUKhQITZs2ECBAgWoVasWAG5ubh9cRk6hp6S0BwnxHnpNclbzoHg3Zf8DAGISXmRzTYQ2MTfMkyXlDP9zVIbz/tRgfobzRkdHs379es6ePcvLly9xcHCgZ8+elCxZEkh+jpKfnx+3b9/GwsKCli1b0qJFC3X+pKQkNm7cyKFDh4iNjcXBwYF+/fpRuHBhNU9WlJETSAAiMkwCEPEmCUBEWrIqAPE4PDrDeb3rz8uS7xSflnTBCCGE0DqGH+ldMEJ7SAAiMizlileIN2XVFa8Qb/oYY0CEdpEARAghhNbR/yhvgxHaRAIQkWGxiS+zuwpCi5gYmAGyXQhNKdvFh5IWEN0nAYgQQgitk5nne4jPkwQgQgghtI6+ngxC1XUSgAghhNA60gKi+yQAEUIIoXX05E0hOk8CECGEEFpHWkB0nwQgQgghtI7cBaP7JAARQgihdfTkOSA6TwIQIYQQWsdAHsWu8yQAEUIIoXX0ZRCqzpMARAghhNaRMSC6TwIQIYQQWkcCEN0nAYgQQgitIy+j030SgAghhNA60gKi+yQAEUIIoXUM5F0wOk8CECGEEFpHXkan+yQAEUIIoXWkC0b3SQAihBBC68iTUHWfBCBCCCG0jryMTvdJACKEEELryCBU3ScBiBBCCK2jJwGIzpMARAghhNaRMSC6TwIQIYQQWkfGgOg+CUCEEEJoHbkNV/dJACKEEELrfKx3wbx69Yr//ve/nD59mqioKIoVK0bHjh2pVq0aACEhIaxevZorV65gbGxMgwYN6NatGwYGBmoZe/fuxd/fn/DwcEqXLk2fPn0oW7asOj0rysgJZJSPEEIIraOvb5DhT2b4+Phw7tw53N3dmTt3LjVq1GDu3LlcunSJhIQEZsyYAYCnpyfu7u4c2G6loQAAFxNJREFUPHiQzZs3q/MfOnSI9evX07VrV2bPno21tTUzZswgMjISIEvKyCkkABFCCKF19NHL8CejIiIiOHXqFL1798bZ2ZkiRYrQvn17nJycOHDgACdOnODZs2cMHTqUkiVLUq1aNbp3705AQABxcXEAbNu2jS+//JK6detSvHhxBg0ahJmZGfv37wfIkjJyCglAhBBCaB09Pb0MfzIqV65cTJw4EQcHh1TfFR0dzZUrVyhdujS5c+dWpzk6OvL69Wtu3bpFREQEjx8/xsnJSZ2ur69P+fLluXLlCkCWlJFTyBgQIYQQWiczt+HGxMQQExOTKt3c3Bxzc3P1f1NTUypXrqyR5/r161y6dIk+ffpw8eJFChQooDE95f/Q0FCMjY0BsLS01MiTP39+goODAQgLC/vgMnIKCUCEEEJoncy0bOzevZstW7akSu/YsSOdO3dOd74HDx4wb948ypYtS+PGjTl9+jR58+bVyGNomHyajI+PV7tQUtJSGBkZER8fD0BcXNwHl5FTSAAihBBC62RmbEfLli1xdXVNlf5m68fbLl++zLx58yhYsCATJkzA0NAwzSAgISEBABMTE7X1IiUtRXx8PCYmJkDagURmy8gpJAARQgihdfT1Mn53y9tdLe9z5MgRli5diqOjI6NGjcLU1BQAKysrbt++rZE3LCwMSO5GsbKyUtNKliyp5gkPD1e7WbKijJxCBqEKIYTQOh9jECrA0aNHWbx4MbVr12b8+PFq8AHg4ODAnTt3NMaTBAUFYWpqiq2tLXnz5sXa2prLly+r05OSkrh69SqOjo5ZVkZOIS0gQgghtM7HeBdMaGgovr6+ODk50aNHD6Kjo9VphoaGVK9enQIFCuDl5UWPHj149uwZGzZsoGXLluqYjVatWuHn54e1tTVly5Zl586dxMbG0qhRI4AsKSOn0FMURcnuSojPQ2ziy+yugtAiJgZmgGwXQlPKdvGhfru9McN5O9h0y1C+gIAA1qxZk+Y0e3t7PD09efLkCatWreLy5cvkzp0bNzc3OnfujL7+/zoMdu3aRUBAAC9evMDW1pbevXtja2urTs+KMnICCUBEhsmJRrxJAhCRlqwKQLbd3pThvO1sumbJd4pPS7pghBBCaJ3MDEIVnycJQIQQQmgdeRuu7pMARAghhNb5GINQhXaRAEQIIYTW0ZcWEJ0nAYgQQgitIy0guk8CECGEEFpHxoDoPglAhBBCaB25C0b3SQAihBBC62TmZXTi8yQBiBBCCK0jXTC6TwIQIYQQWkcGoeo+eRuuEO9x6MAhaldz0UhTFIUVy1byZcPm1KxaG/d+A7l963Y6JQhdkZiYiN+qNbT6sg21vqhD9y49OXniVJp5w8PDcXVxY+niZZ+4lrrhY70NV2gPCUCEeIcL5y8wcdz3vP3KJN8ly1nhu5JefXoye94sXkRH801fd168eJFNNRWfwprVP7PIazFt23+F16IFlChZnMH/196dRzV57nkA/wYIa9hRESwgUqvSWtAoDlqlpTNapS63gmsXtK1WtNYz9s4Zp9TTIty2WsWpW2mRXkbFXhmpC1bgqFiLS1WstwidOYoUFyJoQJYMJoHMH14iEdSgIYGH76cn58iTJ8/7M30l3zzPu7wbh5Li39v0/TzpC1RX11igSjFYS6yNflD3xABC1A61Wo201O/w9lvvwtra8BdcQ0MD/pqWjoVxCzDn9dmIeCkCW1I2QdWgQtZ//2CZgsks9u3Zj1cmTcDbC+ZjVPgoJH62Cl5eXsjabfj/Pf/IUZwoOAk7OzsLVdr9STrwH3VPDCBE7fj5pwKkfrMVy5Z/gFlzDO+0+ffzv0GlUiHixXH6NhdXFwwfMRwFPx83d6lkRmq1Gk4ymf5na2tryJxlqL19W99WV1eHxE+T8K9/XgZbW6klyhQCl2DExwBC1I7g54JxIDcbc16f3eYX3B9lfwAAnnrqKYP2fv18Uf6P50hMM2bFIHtvNk6dOIW6ujps/68duHTxEia8Ml7fZ+3qdQgcEIjJUydbsNLujzMg4uNZMETt6NOn9wOfa6ivh62tLaT3fbt1cnJCfX1DZ5dGFhQzMxqnT53Gu/MX6tsWvx+HiJciAACnTv6CH7MPInPPLssUKBDObIiPAUQQ7733ntF9N2/e3ImViE+na/+Xo06ng5UVJxVFpdPp8N47cSi9VIr/+Pjf0T8wEKdOnMKWTV/D2cUZU6ZNxqcrE/De4oXo18/X0uV2e1acoBceA4gg5s6di82bN8PX1xdyudzS5QhN5iyDWq2GRqOBVHpvFkSlUkHmLHvIK6k7O1f4K84VnsPqtV/gXyb8MwBgxEg5tE1arPsyGVfKr0Amk2HWnJnQarX61zXrmqHVamFjw1+3HWElYQARHf9FCGL06NGQSqVYv349Fi1aBH9/f0uXJCw/fz/odDpcu3YdAQH33uerV68Z/ExiuaFQAACGPv+cQXvosFCkffsd9u/NRk1NDUaEhBk8n7L5G6Rs/gbni8+ZrVYRcAlGfIyYAhk5ciTCw8ORkZFh6VKEFhLyPOzs7HDk0BF9W+3tWpw9fRYjR420YGXUmfz/ES7PnfvVoP23v/8GGxsbrPvPL7Hjb9sMHo6Ojngt+k/Y8bdtlii5W+NBqOLjDIhg5s2bh8rKSkuXITRHJ0fMmjMTG9ZvhJXECv4Bfvjm61Q4yZzwp+nTLF0edZIhwUPwwrgXkPTpX1B7uxb9A/vjzC9nkPbtd5g9dxaGyYe1eY21tRV69eqF4GeDLVBx98ZgIT4GEME4ODhw+cUMlnywGBIrCf6alg6VSoXnQ5/Hqr98CmdnZ0uXRp1ozbovsGH9Rnzz9beovV0LP38//NuKPyN6xnRLlyYeLsEIT6K7/xrTRA/Q2KSydAnUhdhbOwLgfkGGWvaLJ3X25gmj+w73+ieTbJPMizMgRETU5fAsGPExgBARUZfDY0DExwBCRERdDk/DFR8DCBERdTmcAREfA4ggVq5caXTfTz75pBMrISJ6cuYIIFlZWSgsLERCQoK+rbKyElu3bkVJSQlsbW0xbtw4zJo1C9bW1vo+Bw8exP79+1FdXY2AgADExsYiKCjIpGP0BAwggujTp4+lSyAiMpnOPgg1JycHO3fuxMCBA/VtWq0WiYmJ6Nu3LxISElBZWYnNmzfD2toas2bNAgDk5+dj+/btWLBgAQICArBnzx4kJiYiOTkZrq6uJhmjp2AAEcSiRYssXQIRkcl01jEgSqUSKSkpuHDhAnx8fAyeO3nyJKqqqpCYmAiZTAY/Pz/MmTMHaWlpeO2112Bra4usrCyMHz8eY8aMAXD3RqBLlixBXl4epk+fbpIxegoGEEHV1NTg+vXraG5uBnD3Tp4ajQYXL15ETEyMhasjInq4zlqCKS0thYODA9asWYPMzEwo/nGPHwAoKSlBQEAAZLJ7N5UcMmQI7ty5g9LSUnh7e6OiogLBwfeubGtlZYVBgwahpKTEZGP0FAwgAjp69ChSUlIM7sjZonfv3gwgRNTldSSANDQ0oKGhoU27k5MTnJycDNrkcvkD7xiuVCrh4eFh0Nby861bt2BrawsA8PT0NOjj7u6OS5cumWyMnoIBREA//PADRo8ejWnTpmHFihWIj4+HUqlEamoqoqOjLV0eEdEjdWQJJjs7G5mZmW3ap0+f3qEvXGq1Gi4uLgZtNjZ3PyY1Gg3UarVBWwupVAqNRmOyMXoKBhABVVZWYvny5ejbty8CAgJQW1sLuVyOpqYmZGVlYezYsZYukYjooToyAzJp0iRERES0ab9/9uNR2gsBLTPJ9vb2+tmL+2eXNRoN7O3tTTZGT8Fr3QrIxsYGUqkUwN2zY8rLywEAAwYMQEVFhSVLIyIyipXEyuiHk5MTevfu3ebR0QDi5eWF6upqgzalUgng7jKKl5eXQVuL6upq/TKLKcboKRhABDRgwADk5uYCAPz8/HD+/HkAQHl5eZtpPyKirknSgYdpDB48GGVlZQbHk1y4cAEODg4IDAyEi4sLfHx8UFxcrH++ubkZv//+O4YMGWKyMXoKfhoJKDo6GklJSXBxcUFERAR27dqFpUuXorq6GuHh4ZYuj4jokSxxKfYRI0bAw8MDycnJmDt3LqqqqrBjxw5MmjRJ/+UtKioKaWlp8PHxQVBQEPbu3YvGxkZERkaabIyeQqLT6XSWLoJMT6lUQqvVonfv3rh69Sry8vLg6emJiRMnPvYsCG+7Tq213Had+wW11rJfPKnSuv8xum+g8zOPtY2NGzdCoVAYXAlVoVAgNTUVxcXFkMlkePHFFxETEwMrq3sLBvv27cOBAwdQV1eHwMBAvPXWWwgMDDTpGD0BAwgZjR801BoDCLXHVAHkct3/Gt23v/PAR3eiLodLMAJ61L1eOnLfGCIiS+DdcMXHACKg+4+kbmpqgkKhwLVr1/DKK69YqCoiIuNZ8RwJ4TGACGjJkiXttu/cuRP19fVmroaIqOM4AyI+Rswe5KWXXkJBQYGlyyAieiRJB/6j7okzID3IlStXLF0CEZFROAMiPgYQAW3YsKFNm0qlQlFREUaNGmWBioiIOoYzG+JjABHQzZs323x7sLGxweTJkxEVFWWhqoiIjMcAIj5eB6SHqampgZub22O9ltd7oNZ4HRBqj6muA6L4P+OXjL0dnjLJNsm8eBCqgGbMmIHa2to27Tdv3nzgGTJERF2L+e8FQ+bFJRhBHD9+HL/++qv+561bt+pv+9yiqqqqx93umYi6J8YK8TGACGLgwIHIyclBy4paVVUVrK2t9c9LJBLY29sjLi7OUiUSEXUAI4joeAyIgD755BMsX74cTk5OJh2Xa/3UGo8BofaY6hiQysbrRvftbe9jkm2SeTGACOrMmTOQSCQYPnw4AGDLli0ICwtDaGjoY4/JDxpqjQGE2mOqAFLVWGF03172fU2yTTIvHoQqoMOHD2Pt2rWoqqrSt2m1WqxevRrHjx+3YGVERMbhlVDFx2NABLR3717Mnz8fkZGR+rbFixdj0KBB2L17N8LDwy1YHREREWdAhHTz5k0899xzbdqHDh0KhUJhgYqIiDpGIpEY/aDuiQFEQL169UJRUVGb9pKSEri7u1ugIiIiIkNcghHQ+PHjkZaWBoVCgaCgIADApUuX8OOPPyI6OtrC1RERPRqP7RAfA4iAJkyYALVajezsbOzZswcA4O7ujjlz5iAsLMzC1RERPRoDiPh4Gq7g6urqYGNjg9LSUuTm5uLMmTPYvn37Y43F0y2pNZ6GS+0x1Wm4NeqbRvd1s/UyyTbJvDgDIjCVSoVjx44hLy8P169fh1Qqxbhx4yxdFhGRETgDIjoGEAFdunQJeXl5KCgogFqtBgBMnDgR06ZNg4uLi4WrIyJ6NMYP8TGACEKtVuPnn39GXl4eSktLYW9vj7CwMISHh2P16tWIjIxk+CCiboQRRHQMIIJYsGABdDodQkJCMHXqVAwbNgxSqdTSZRERPRZe30N8DCCCaG5uhqOjI+zs7KDVatHU1MQAQkTdFs+CER8DiCBSUlJw4sQJHDlyBPn5+bC1tUVoaCgvu05E3RQDiOh4Gq6AKioqcPjwYfz000+oqakBAIwbNw5TpkyBr6/vY4/L0y2pNZ6GS+0x1Wm49ZrbRveVSV1Nsk0yLwYQgTU3N6OwsBD5+fkoLCxEU1MTnn32WcTHxz/WePygodYYQKg9pgogDdpao/s62fAA++6ISzACs7Kyglwuh1wuR21tLfLz85Gfn2/psoiIjMAlGNFxBoSMxm+61BpnQKg9ppoBUWnrje7raCMzyTbJvDgDQkREXQ5PwxUfAwgZzVTfbEgs3C+I6HFwCYaIiIjMzsrSBRAREVHPwwBCREREZscAQkRERGbHAEJERERmxwBCREREZscAQkRERGbHAEJERERmxwBCREREZscAQkRERGbHS7FTtxYXF4eqqir9zxKJBA4ODhgwYABiYmLwzDPPmHR7CoUC77//PlauXIng4GBs3LgRCoUCCQkJj3ytTqfD0aNHERoaCldX13b7NDc3IzMzE4cOHUJDQwMGDRqEt99+G97e3ib9e4hOtP2itaysLBQWFho1NlFXxgBC3d7EiRMxdepUAHd/mdfV1SEjIwOrVq3CunXr4OXl1Wnbjo2NRXNzs1F9i4qKsGnTJmzYsOGBfTIzM5Gbm4tFixbB09MTO3bsQGJiIr788kvY2tqaquweQaT9okVOTg527tyJgQMHPmmJRBbHJRjq9uzt7eHm5gY3Nze4u7vDz88P77zzDu7cuYNffvmlU7ft6OgImcy4W4E/6rZLGo0G+/fvR3R0NIYNGwZ/f38sXboUNTU1OHnypCnK7VFE2S8AQKlU4rPPPsO2bdvg4+PzpOURdQmcASEhWVtbAwCkUimAu1PyYWFhOH/+PJRKJZYuXYqQkBAcPnwY+/btQ2VlJXr16oWIiAi8+uqr+teXl5cjLS0NFy9ehLu7O6ZMmWKwnfun2isrK5Geno6ioiJIJBIEBwcjNjYWCoUCq1atAgAsXrwY06dPR0xMjMFYZWVlaGxsRHBwsL7N0dER/fv3R3FxMcaOHds5b1YP0h33CwAoLS2Fg4MD1qxZg8zMTCgUik57j4jMhQGEhKNUKpGeng57e3uEhobq2w8ePIgPP/wQrq6u8PX1RW5uLjIyMjB//nw8/fTTuHLlClJTU3Hjxg0sWLAAKpUKCQkJCAoKQmJiIqqrq7Fly5YHblelUuHjjz+Gr68v4uPjYWNjg61bt+Lzzz9HUlISli1bhnXr1iEpKQn9+vVrt24A8PT0NGh3d3fHrVu3TPTu9Fzddb8AALlcDrlcbvL3hMiSGECo29uzZw+ys7MB3D2IU6PRwNfXF8uWLTNY5x86dKjBB8/u3bsxbdo0jBkzBgDQp08faDQaJCcnY/bs2Th58iQaGxsRFxcHmUwGPz8/vPnmm1i7dm27dRQUFKC+vh4ffPABnJ2dAQALFy7EoUOHoFar4eTkBABwcXGBvb19m9ffuXMHwL1v5y2kUik0Gs3jvj09lij7BZGoGECo24uMjERUVBQAwMrKCjKZDI6Ojm369e3bV//n2tpaKJVKfP/999i1a5e+XafTQafToaKiAuXl5ejTp4/BWv7DDv4rLy+Ht7e3/kOmZZtz58416u/RcpCpRqOBjc29f5oajYYfTI9BlP2CSFQMINTtyWQyo05TtbOz0/+55QyF119/HSEhIW36enh44NixY20OEGwdDO73sOeM0fKtvLq6Gg4ODvr26urqB07N04OJsl8QiYpnwVCP5OrqCldXV9y4cQPe3t76x7Vr17B9+3ZotVr0798fCoUCtbW1+tddvHjxgWP6+vpCoVCgvr5e33b9+nXExsbi6tWrkEgkD63J398fDg4OuHDhgr5NpVLh8uXLGDJkyBP8bclYXXG/IBIVAwj1SBKJBFOmTEFOTg4OHDgAhUKBs2fP6g8mdHR0RHh4ONzc3LB+/XqUlZWhuLgY6enpDxzzhRdegLOzM7766iuUlZXh8uXL2LJlC7y9veHr66uf1SgrK4NKpWrzeqlUigkTJiAjIwOnT5/GH3/8gfXr18PDwwOjRo3qnDeCDHTF/YJIVJwbpB4rKioKdnZ2OHDgALZt2wYXFxeMGTMGM2fOBHD3OhIrV65Eamoq4uPj4ezsjJiYGGzatKnd8ezs7PDRRx8hPT0d8fHxkEqlCAkJwRtvvAGJRIKAgADI5XIkJyfj5Zdfxrx589qMMWPGDDQ3NyMlJQWNjY0YPHgwVqxYwWl8M+qK+wWRiCQ6Y66CQ0RERGRCXIIhIiIis2MAISIiIrNjACEiIiKzYwAhIiIis2MAISIiIrNjACEiIiKzYwAhIiIis2MAISIiIrNjACEiIiKz+3+0VNhw/n0rxwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.9792844352375267\n",
+      "Sensitivity: 0.8936170212765957\n",
+      "Specificity: 0.9794260392487867\n",
+      "Precision: 0.06698564593301436\n",
+      "f1 score: 0.12462908011869436\n",
+      "AUC value is: 0.9768139805656698\n",
+      "Model classification metrics have finished calculating!\n",
+      "{'accuracy': 0.9792844352375267, 'sensitivity': 0.8936170212765957, 'specificity': 0.9794260392487867, 'precision': 0.06698564593301436, 'f1': 0.12462908011869436, 'auc': 0.9768139805656698, 'pr_auc': 0.6800490451604873}\n",
+      "Model fitting and results are complete!\n",
+      "Accuracy with all fraud results is 100.0%\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x1440 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "finalcolstouse = list(df.columns.values)\n",
+    "# modelpipeline.run_model(self, df, varlist, response, testratio, standardize, sampletype, modelname, text, CV)\n",
+    "results = modelpipeline.run_model(df, finalcolstouse, 'Class', 0.2, True, 'naive', 'LogisticRegression', 'Logistic Regression with backward linear selection', False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Random Forest Models without and with feature V18"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Based on backward selection and naive sampling, V18 was removed\n",
+    "finalcolstouse = list(df.columns.values)\n",
+    "finalcolstouse.remove('V18')\n",
+    "print(finalcolstouse)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Oversampling is complete!\n",
+      "[[56768   100]\n",
+      " [   18    76]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.9979284435237527\n",
+      "Sensitivity: 0.8085106382978723\n",
+      "Specificity: 0.9982415418161356\n",
+      "Precision: 0.4318181818181818\n",
+      "f1 score: 0.562962962962963\n",
+      "AUC value is: 0.9758707735270481\n",
+      "Model classification metrics have finished calculating!\n",
+      "{'accuracy': 0.9979284435237527, 'sensitivity': 0.8085106382978723, 'specificity': 0.9982415418161356, 'precision': 0.4318181818181818, 'f1': 0.562962962962963, 'auc': 0.9758707735270481, 'pr_auc': 0.7139050836796361}\n",
+      "Model fitting and results are complete!\n",
+      "Accuracy with all fraud results is 73.57723577235772%\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x1440 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# finalcolstouse is list of features that are significant (p < 0.05) for logistic regression + response\n",
+    "# modelpipeline.run_model(self, df, varlist, response, testratio, standardize, sampletype, modelname, text, CV)\n",
+    "results = modelpipeline.run_model(df, finalcolstouse, 'Class', 0.2, True, 'naive', 'RandomForest', 'Random Forest with backward linear selection', False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n",
+      "Oversampling is complete!\n",
+      "[[56773    95]\n",
+      " [   18    76]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.9980162213405428\n",
+      "Sensitivity: 0.8085106382978723\n",
+      "Specificity: 0.9983294647253288\n",
+      "Precision: 0.4444444444444444\n",
+      "f1 score: 0.5735849056603773\n",
+      "AUC value is: 0.9767051993492957\n",
+      "Model classification metrics have finished calculating!\n",
+      "{'accuracy': 0.9980162213405428, 'sensitivity': 0.8085106382978723, 'specificity': 0.9983294647253288, 'precision': 0.4444444444444444, 'f1': 0.5735849056603773, 'auc': 0.9767051993492957, 'pr_auc': 0.6345816120820706}\n",
+      "Model fitting and results are complete!\n",
+      "Accuracy with all fraud results is 75.0%\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x1440 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Based on backward selection and naive sampling, V18 was removed\n",
+    "finalcolstouse = list(df.columns.values)\n",
+    "print(finalcolstouse)\n",
+    "# Compare to using all features\n",
+    "# run_model(self, df, varlist, response, testratio, standardize, sampletype, modelname, text, CV)\n",
+    "results = modelpipeline.run_model(df, finalcolstouse, 'Class', 0.2, True, 'naive', 'RandomForest', 'Random Forest with backward linear selection', False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# XGBoost Model with and without V18 feature removed from backward selection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n",
+      "Oversampling is complete!\n",
+      "[0]\tvalidation_0-error:0.024964\tvalidation_1-error:0.011025\n",
+      "[5]\tvalidation_0-error:0.016786\tvalidation_1-error:0.007321\n",
+      "[10]\tvalidation_0-error:0.009457\tvalidation_1-error:0.005003\n",
+      "[15]\tvalidation_0-error:0.006377\tvalidation_1-error:0.003652\n",
+      "[20]\tvalidation_0-error:0.001139\tvalidation_1-error:0.002949\n",
+      "[25]\tvalidation_0-error:0.000864\tvalidation_1-error:0.00244\n",
+      "[30]\tvalidation_0-error:0.000662\tvalidation_1-error:0.001931\n",
+      "[35]\tvalidation_0-error:0.000534\tvalidation_1-error:0.001668\n",
+      "[40]\tvalidation_0-error:0.000446\tvalidation_1-error:0.001492\n",
+      "[45]\tvalidation_0-error:0.000396\tvalidation_1-error:0.001369\n",
+      "[50]\tvalidation_0-error:0.000336\tvalidation_1-error:0.001317\n",
+      "[55]\tvalidation_0-error:0.000299\tvalidation_1-error:0.001194\n",
+      "[60]\tvalidation_0-error:0.000273\tvalidation_1-error:0.001141\n",
+      "[65]\tvalidation_0-error:0.000233\tvalidation_1-error:0.000983\n",
+      "[70]\tvalidation_0-error:0.000163\tvalidation_1-error:0.000808\n",
+      "[75]\tvalidation_0-error:0.000136\tvalidation_1-error:0.000737\n",
+      "[80]\tvalidation_0-error:0.000112\tvalidation_1-error:0.000685\n",
+      "[85]\tvalidation_0-error:0.000103\tvalidation_1-error:0.000667\n",
+      "[90]\tvalidation_0-error:7.9e-05\tvalidation_1-error:0.00065\n",
+      "[95]\tvalidation_0-error:7.5e-05\tvalidation_1-error:0.00065\n",
+      "[99]\tvalidation_0-error:6.2e-05\tvalidation_1-error:0.000632\n",
+      "[[56852    16]\n",
+      " [   20    74]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.9993679997191109\n",
+      "Sensitivity: 0.7872340425531915\n",
+      "Specificity: 0.9997186466905817\n",
+      "Precision: 0.8222222222222222\n",
+      "f1 score: 0.8043478260869565\n",
+      "AUC value is: 0.9819135092988766\n",
+      "Model classification metrics have finished calculating!\n",
+      "{'accuracy': 0.9993679997191109, 'sensitivity': 0.7872340425531915, 'specificity': 0.9997186466905817, 'precision': 0.8222222222222222, 'f1': 0.8043478260869565, 'auc': 0.9819135092988766, 'pr_auc': 0.7943091970136639}\n",
+      "Model fitting and results are complete!\n",
+      "Accuracy with all fraud results is 79.0650406504065%\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x1440 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Based on backward selection and naive sampling, V18 was removed\n",
+    "finalcolstouse = list(df.columns.values)\n",
+    "print(finalcolstouse)\n",
+    "# finalcolstouse is list of features that are significant (p < 0.05) for logistic regression + response\n",
+    "# run_model(self, df, varlist, response, testratio, standardize, sampletype, modelname, text, CV)\n",
+    "results = modelpipeline.run_model(df, finalcolstouse, 'Class', 0.2, True, 'naive', 'XGBoost', 'XGBoost with all features', False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Remove V18 and rebuild XGBoost"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n",
+      "Oversampling is complete!\n",
+      "[0]\tvalidation_0-error:0.024964\tvalidation_1-error:0.011025\n",
+      "[5]\tvalidation_0-error:0.017595\tvalidation_1-error:0.009076\n",
+      "[10]\tvalidation_0-error:0.012185\tvalidation_1-error:0.005109\n",
+      "[15]\tvalidation_0-error:0.002836\tvalidation_1-error:0.003178\n",
+      "[20]\tvalidation_0-error:0.001277\tvalidation_1-error:0.002739\n",
+      "[25]\tvalidation_0-error:0.001046\tvalidation_1-error:0.002317\n",
+      "[30]\tvalidation_0-error:0.000802\tvalidation_1-error:0.001861\n",
+      "[35]\tvalidation_0-error:0.000666\tvalidation_1-error:0.001668\n",
+      "[40]\tvalidation_0-error:0.000594\tvalidation_1-error:0.001404\n",
+      "[45]\tvalidation_0-error:0.000459\tvalidation_1-error:0.001282\n",
+      "[50]\tvalidation_0-error:0.000393\tvalidation_1-error:0.001141\n",
+      "[55]\tvalidation_0-error:0.000343\tvalidation_1-error:0.001088\n",
+      "[60]\tvalidation_0-error:0.000299\tvalidation_1-error:0.001001\n",
+      "[65]\tvalidation_0-error:0.000264\tvalidation_1-error:0.000948\n",
+      "[70]\tvalidation_0-error:0.0002\tvalidation_1-error:0.00079\n",
+      "[75]\tvalidation_0-error:0.000158\tvalidation_1-error:0.000755\n",
+      "[80]\tvalidation_0-error:0.000141\tvalidation_1-error:0.000702\n",
+      "[85]\tvalidation_0-error:0.000114\tvalidation_1-error:0.000667\n",
+      "[90]\tvalidation_0-error:9.7e-05\tvalidation_1-error:0.000614\n",
+      "[95]\tvalidation_0-error:9.2e-05\tvalidation_1-error:0.000597\n",
+      "[99]\tvalidation_0-error:8.8e-05\tvalidation_1-error:0.000597\n",
+      "[[56855    13]\n",
+      " [   21    73]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.999403110845827\n",
+      "Sensitivity: 0.776595744680851\n",
+      "Specificity: 0.9997714004360976\n",
+      "Precision: 0.8488372093023255\n",
+      "f1 score: 0.8111111111111111\n",
+      "AUC value is: 0.982341899643669\n",
+      "Model classification metrics have finished calculating!\n",
+      "{'accuracy': 0.999403110845827, 'sensitivity': 0.776595744680851, 'specificity': 0.9997714004360976, 'precision': 0.8488372093023255, 'f1': 0.8111111111111111, 'auc': 0.982341899643669, 'pr_auc': 0.7894768640900444}\n",
+      "Model fitting and results are complete!\n",
+      "Accuracy with all fraud results is 78.86178861788618%\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x1440 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Based on backward selection and naive sampling, V18 was removed\n",
+    "finalcolstouse = list(df.columns.values)\n",
+    "finalcolstouse.remove('V18')\n",
+    "print(finalcolstouse)\n",
+    "# run_model(self, df, varlist, response, testratio, standardize, sampletype, modelname, text, CV)\n",
+    "results = modelpipeline.run_model(df, finalcolstouse, 'Class', 0.2, True, 'naive', 'XGBoost', 'XGBoost with backward logistic selection', False)"
    ]
   },
   {
diff --git a/SCI17. Creating custom stratified crossvalidation pipeline.ipynb b/SCI17. Creating custom stratified crossvalidation pipeline.ipynb
index 6b25fd9..ef1ab58 100644
--- a/SCI17. Creating custom stratified crossvalidation pipeline.ipynb	
+++ b/SCI17. Creating custom stratified crossvalidation pipeline.ipynb	
@@ -21,7 +21,9 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -69,123 +71,123 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <td>190540</td>\n",
-       "      <td>128876.0</td>\n",
-       "      <td>-1.830095</td>\n",
-       "      <td>-0.137589</td>\n",
-       "      <td>1.165411</td>\n",
-       "      <td>-1.418749</td>\n",
-       "      <td>0.488531</td>\n",
-       "      <td>0.139580</td>\n",
-       "      <td>0.188627</td>\n",
-       "      <td>0.688763</td>\n",
-       "      <td>-0.338800</td>\n",
+       "      <td>273545</td>\n",
+       "      <td>165615.0</td>\n",
+       "      <td>-0.671358</td>\n",
+       "      <td>0.848997</td>\n",
+       "      <td>1.834979</td>\n",
+       "      <td>-0.563272</td>\n",
+       "      <td>0.071805</td>\n",
+       "      <td>0.246626</td>\n",
+       "      <td>0.279990</td>\n",
+       "      <td>0.313551</td>\n",
+       "      <td>0.089157</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.039765</td>\n",
-       "      <td>-0.588418</td>\n",
-       "      <td>-0.004024</td>\n",
-       "      <td>0.168532</td>\n",
-       "      <td>0.491266</td>\n",
-       "      <td>-0.269562</td>\n",
-       "      <td>-0.141380</td>\n",
-       "      <td>-0.120216</td>\n",
-       "      <td>120.91</td>\n",
+       "      <td>-0.144584</td>\n",
+       "      <td>-0.306642</td>\n",
+       "      <td>-0.340585</td>\n",
+       "      <td>-0.618444</td>\n",
+       "      <td>0.369088</td>\n",
+       "      <td>-0.624844</td>\n",
+       "      <td>0.350159</td>\n",
+       "      <td>0.126784</td>\n",
+       "      <td>1.00</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>112155</td>\n",
-       "      <td>72534.0</td>\n",
-       "      <td>-0.202463</td>\n",
-       "      <td>0.465210</td>\n",
-       "      <td>0.834892</td>\n",
-       "      <td>-2.227735</td>\n",
-       "      <td>-0.661110</td>\n",
-       "      <td>-0.724424</td>\n",
-       "      <td>-0.762919</td>\n",
-       "      <td>-2.832620</td>\n",
-       "      <td>0.974169</td>\n",
+       "      <td>12539</td>\n",
+       "      <td>21949.0</td>\n",
+       "      <td>1.261585</td>\n",
+       "      <td>0.557168</td>\n",
+       "      <td>0.472043</td>\n",
+       "      <td>0.883499</td>\n",
+       "      <td>-0.184916</td>\n",
+       "      <td>-0.994220</td>\n",
+       "      <td>0.076301</td>\n",
+       "      <td>-0.353471</td>\n",
+       "      <td>1.132502</td>\n",
        "      <td>...</td>\n",
-       "      <td>-1.515120</td>\n",
-       "      <td>-0.131052</td>\n",
-       "      <td>-0.065134</td>\n",
-       "      <td>0.438298</td>\n",
-       "      <td>1.007102</td>\n",
-       "      <td>-0.291745</td>\n",
-       "      <td>0.053908</td>\n",
-       "      <td>0.220345</td>\n",
-       "      <td>3.11</td>\n",
+       "      <td>-0.424684</td>\n",
+       "      <td>-0.916617</td>\n",
+       "      <td>0.126201</td>\n",
+       "      <td>0.312282</td>\n",
+       "      <td>0.235299</td>\n",
+       "      <td>0.052098</td>\n",
+       "      <td>-0.041715</td>\n",
+       "      <td>0.026898</td>\n",
+       "      <td>1.29</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>243183</td>\n",
-       "      <td>151832.0</td>\n",
-       "      <td>0.306229</td>\n",
-       "      <td>-0.424771</td>\n",
-       "      <td>-1.380784</td>\n",
-       "      <td>-1.913211</td>\n",
-       "      <td>0.842114</td>\n",
-       "      <td>-1.483000</td>\n",
-       "      <td>0.814543</td>\n",
-       "      <td>-0.347066</td>\n",
-       "      <td>-1.455849</td>\n",
+       "      <td>168889</td>\n",
+       "      <td>119429.0</td>\n",
+       "      <td>2.145652</td>\n",
+       "      <td>-1.073728</td>\n",
+       "      <td>-0.564655</td>\n",
+       "      <td>-0.953850</td>\n",
+       "      <td>-1.066191</td>\n",
+       "      <td>-0.297436</td>\n",
+       "      <td>-1.173677</td>\n",
+       "      <td>0.084913</td>\n",
+       "      <td>0.034932</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.619341</td>\n",
-       "      <td>1.513879</td>\n",
-       "      <td>0.244803</td>\n",
-       "      <td>-0.394509</td>\n",
-       "      <td>-1.512426</td>\n",
-       "      <td>-0.348385</td>\n",
-       "      <td>0.265300</td>\n",
-       "      <td>0.328686</td>\n",
-       "      <td>65.34</td>\n",
+       "      <td>0.344686</td>\n",
+       "      <td>1.029718</td>\n",
+       "      <td>0.105991</td>\n",
+       "      <td>-0.382419</td>\n",
+       "      <td>-0.179858</td>\n",
+       "      <td>-0.078127</td>\n",
+       "      <td>0.004817</td>\n",
+       "      <td>-0.064935</td>\n",
+       "      <td>5.95</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>170387</td>\n",
-       "      <td>120156.0</td>\n",
-       "      <td>0.272050</td>\n",
-       "      <td>-4.520426</td>\n",
-       "      <td>-3.177580</td>\n",
-       "      <td>-0.785983</td>\n",
-       "      <td>-1.742056</td>\n",
-       "      <td>-1.093717</td>\n",
-       "      <td>1.056694</td>\n",
-       "      <td>-0.672331</td>\n",
-       "      <td>-2.172298</td>\n",
+       "      <td>246621</td>\n",
+       "      <td>153249.0</td>\n",
+       "      <td>-1.344100</td>\n",
+       "      <td>-1.182142</td>\n",
+       "      <td>1.190400</td>\n",
+       "      <td>-2.150509</td>\n",
+       "      <td>0.191530</td>\n",
+       "      <td>-0.234382</td>\n",
+       "      <td>-0.162335</td>\n",
+       "      <td>0.173311</td>\n",
+       "      <td>-0.829303</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.674317</td>\n",
-       "      <td>-0.095774</td>\n",
-       "      <td>-0.899055</td>\n",
-       "      <td>0.049258</td>\n",
-       "      <td>-0.163474</td>\n",
-       "      <td>-0.046153</td>\n",
-       "      <td>-0.265128</td>\n",
-       "      <td>0.095606</td>\n",
-       "      <td>1076.90</td>\n",
+       "      <td>0.388810</td>\n",
+       "      <td>1.199350</td>\n",
+       "      <td>0.546962</td>\n",
+       "      <td>0.707886</td>\n",
+       "      <td>0.124164</td>\n",
+       "      <td>-0.210443</td>\n",
+       "      <td>0.099604</td>\n",
+       "      <td>0.053481</td>\n",
+       "      <td>66.00</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>240888</td>\n",
-       "      <td>150794.0</td>\n",
-       "      <td>2.046962</td>\n",
-       "      <td>-0.380968</td>\n",
-       "      <td>-0.526156</td>\n",
-       "      <td>0.345999</td>\n",
-       "      <td>-0.434451</td>\n",
-       "      <td>-0.190540</td>\n",
-       "      <td>-0.614142</td>\n",
-       "      <td>-0.025013</td>\n",
-       "      <td>1.493828</td>\n",
+       "      <td>265502</td>\n",
+       "      <td>161913.0</td>\n",
+       "      <td>1.961343</td>\n",
+       "      <td>-0.715029</td>\n",
+       "      <td>-1.703147</td>\n",
+       "      <td>-0.613582</td>\n",
+       "      <td>1.713865</td>\n",
+       "      <td>3.913136</td>\n",
+       "      <td>-1.252671</td>\n",
+       "      <td>1.054911</td>\n",
+       "      <td>1.314417</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.140722</td>\n",
-       "      <td>0.701002</td>\n",
-       "      <td>0.032785</td>\n",
-       "      <td>-0.685823</td>\n",
-       "      <td>0.013241</td>\n",
-       "      <td>-0.168146</td>\n",
-       "      <td>0.043882</td>\n",
-       "      <td>-0.045200</td>\n",
-       "      <td>0.01</td>\n",
+       "      <td>0.191787</td>\n",
+       "      <td>0.691780</td>\n",
+       "      <td>0.158595</td>\n",
+       "      <td>0.726621</td>\n",
+       "      <td>-0.060118</td>\n",
+       "      <td>-0.192346</td>\n",
+       "      <td>0.060914</td>\n",
+       "      <td>-0.042846</td>\n",
+       "      <td>9.99</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -195,25 +197,25 @@
       ],
       "text/plain": [
        "            Time        V1        V2        V3        V4        V5        V6  \\\n",
-       "190540  128876.0 -1.830095 -0.137589  1.165411 -1.418749  0.488531  0.139580   \n",
-       "112155   72534.0 -0.202463  0.465210  0.834892 -2.227735 -0.661110 -0.724424   \n",
-       "243183  151832.0  0.306229 -0.424771 -1.380784 -1.913211  0.842114 -1.483000   \n",
-       "170387  120156.0  0.272050 -4.520426 -3.177580 -0.785983 -1.742056 -1.093717   \n",
-       "240888  150794.0  2.046962 -0.380968 -0.526156  0.345999 -0.434451 -0.190540   \n",
+       "273545  165615.0 -0.671358  0.848997  1.834979 -0.563272  0.071805  0.246626   \n",
+       "12539    21949.0  1.261585  0.557168  0.472043  0.883499 -0.184916 -0.994220   \n",
+       "168889  119429.0  2.145652 -1.073728 -0.564655 -0.953850 -1.066191 -0.297436   \n",
+       "246621  153249.0 -1.344100 -1.182142  1.190400 -2.150509  0.191530 -0.234382   \n",
+       "265502  161913.0  1.961343 -0.715029 -1.703147 -0.613582  1.713865  3.913136   \n",
        "\n",
        "              V7        V8        V9  ...       V21       V22       V23  \\\n",
-       "190540  0.188627  0.688763 -0.338800  ...  0.039765 -0.588418 -0.004024   \n",
-       "112155 -0.762919 -2.832620  0.974169  ... -1.515120 -0.131052 -0.065134   \n",
-       "243183  0.814543 -0.347066 -1.455849  ...  0.619341  1.513879  0.244803   \n",
-       "170387  1.056694 -0.672331 -2.172298  ...  0.674317 -0.095774 -0.899055   \n",
-       "240888 -0.614142 -0.025013  1.493828  ...  0.140722  0.701002  0.032785   \n",
+       "273545  0.279990  0.313551  0.089157  ... -0.144584 -0.306642 -0.340585   \n",
+       "12539   0.076301 -0.353471  1.132502  ... -0.424684 -0.916617  0.126201   \n",
+       "168889 -1.173677  0.084913  0.034932  ...  0.344686  1.029718  0.105991   \n",
+       "246621 -0.162335  0.173311 -0.829303  ...  0.388810  1.199350  0.546962   \n",
+       "265502 -1.252671  1.054911  1.314417  ...  0.191787  0.691780  0.158595   \n",
        "\n",
-       "             V24       V25       V26       V27       V28   Amount  Class  \n",
-       "190540  0.168532  0.491266 -0.269562 -0.141380 -0.120216   120.91      0  \n",
-       "112155  0.438298  1.007102 -0.291745  0.053908  0.220345     3.11      0  \n",
-       "243183 -0.394509 -1.512426 -0.348385  0.265300  0.328686    65.34      0  \n",
-       "170387  0.049258 -0.163474 -0.046153 -0.265128  0.095606  1076.90      0  \n",
-       "240888 -0.685823  0.013241 -0.168146  0.043882 -0.045200     0.01      0  \n",
+       "             V24       V25       V26       V27       V28  Amount  Class  \n",
+       "273545 -0.618444  0.369088 -0.624844  0.350159  0.126784    1.00      0  \n",
+       "12539   0.312282  0.235299  0.052098 -0.041715  0.026898    1.29      0  \n",
+       "168889 -0.382419 -0.179858 -0.078127  0.004817 -0.064935    5.95      0  \n",
+       "246621  0.707886  0.124164 -0.210443  0.099604  0.053481   66.00      0  \n",
+       "265502  0.726621 -0.060118 -0.192346  0.060914 -0.042846    9.99      0  \n",
        "\n",
        "[5 rows x 31 columns]"
       ]
@@ -1022,243 +1024,243 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <td>46957</td>\n",
-       "      <td>43006.0</td>\n",
-       "      <td>1.137622</td>\n",
-       "      <td>0.174313</td>\n",
-       "      <td>0.404251</td>\n",
-       "      <td>1.087450</td>\n",
-       "      <td>-0.247634</td>\n",
-       "      <td>-0.417979</td>\n",
-       "      <td>0.041166</td>\n",
-       "      <td>-0.033588</td>\n",
-       "      <td>0.105511</td>\n",
+       "      <td>239960</td>\n",
+       "      <td>150362.0</td>\n",
+       "      <td>2.047890</td>\n",
+       "      <td>0.111725</td>\n",
+       "      <td>-1.803352</td>\n",
+       "      <td>0.231603</td>\n",
+       "      <td>0.640195</td>\n",
+       "      <td>-0.379255</td>\n",
+       "      <td>0.099140</td>\n",
+       "      <td>-0.087327</td>\n",
+       "      <td>0.211342</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.014668</td>\n",
-       "      <td>-0.060018</td>\n",
-       "      <td>-0.009794</td>\n",
-       "      <td>0.053553</td>\n",
-       "      <td>0.447414</td>\n",
-       "      <td>-0.410587</td>\n",
-       "      <td>0.031298</td>\n",
-       "      <td>0.026130</td>\n",
-       "      <td>31.31</td>\n",
+       "      <td>-0.327468</td>\n",
+       "      <td>-0.864908</td>\n",
+       "      <td>0.284974</td>\n",
+       "      <td>0.193684</td>\n",
+       "      <td>-0.240132</td>\n",
+       "      <td>0.171304</td>\n",
+       "      <td>-0.065565</td>\n",
+       "      <td>-0.042547</td>\n",
+       "      <td>4.49</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>272380</td>\n",
-       "      <td>165059.0</td>\n",
-       "      <td>1.954320</td>\n",
-       "      <td>-0.601255</td>\n",
-       "      <td>-0.336373</td>\n",
-       "      <td>0.318712</td>\n",
-       "      <td>-0.726208</td>\n",
-       "      <td>-0.037220</td>\n",
-       "      <td>-0.849702</td>\n",
-       "      <td>0.196205</td>\n",
-       "      <td>1.196176</td>\n",
+       "      <td>155702</td>\n",
+       "      <td>106173.0</td>\n",
+       "      <td>-0.609409</td>\n",
+       "      <td>0.717388</td>\n",
+       "      <td>2.235283</td>\n",
+       "      <td>-0.154805</td>\n",
+       "      <td>-0.330174</td>\n",
+       "      <td>-0.126641</td>\n",
+       "      <td>0.127604</td>\n",
+       "      <td>0.224505</td>\n",
+       "      <td>1.489330</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.185757</td>\n",
-       "      <td>0.675356</td>\n",
-       "      <td>0.130278</td>\n",
-       "      <td>-0.367591</td>\n",
-       "      <td>-0.321441</td>\n",
-       "      <td>0.578047</td>\n",
-       "      <td>-0.027790</td>\n",
-       "      <td>-0.062811</td>\n",
-       "      <td>11.50</td>\n",
+       "      <td>-0.229486</td>\n",
+       "      <td>-0.541650</td>\n",
+       "      <td>-0.224648</td>\n",
+       "      <td>-0.098500</td>\n",
+       "      <td>0.161573</td>\n",
+       "      <td>-0.716275</td>\n",
+       "      <td>0.061937</td>\n",
+       "      <td>0.061947</td>\n",
+       "      <td>11.27</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>181205</td>\n",
-       "      <td>124873.0</td>\n",
-       "      <td>1.993000</td>\n",
-       "      <td>0.105581</td>\n",
-       "      <td>-1.478922</td>\n",
-       "      <td>0.656160</td>\n",
-       "      <td>0.049561</td>\n",
-       "      <td>-1.133651</td>\n",
-       "      <td>0.093379</td>\n",
-       "      <td>-0.131271</td>\n",
-       "      <td>0.371934</td>\n",
+       "      <td>41522</td>\n",
+       "      <td>40718.0</td>\n",
+       "      <td>-0.736405</td>\n",
+       "      <td>0.990598</td>\n",
+       "      <td>-0.269066</td>\n",
+       "      <td>-0.244532</td>\n",
+       "      <td>1.935546</td>\n",
+       "      <td>3.675422</td>\n",
+       "      <td>-0.570128</td>\n",
+       "      <td>1.416500</td>\n",
+       "      <td>-0.460843</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.304203</td>\n",
-       "      <td>-0.822471</td>\n",
-       "      <td>0.324402</td>\n",
-       "      <td>-0.069119</td>\n",
-       "      <td>-0.339543</td>\n",
-       "      <td>-0.004205</td>\n",
-       "      <td>-0.053316</td>\n",
-       "      <td>-0.041599</td>\n",
-       "      <td>2.50</td>\n",
+       "      <td>0.070098</td>\n",
+       "      <td>0.044671</td>\n",
+       "      <td>-0.079959</td>\n",
+       "      <td>0.990600</td>\n",
+       "      <td>0.192730</td>\n",
+       "      <td>-0.298879</td>\n",
+       "      <td>0.084325</td>\n",
+       "      <td>0.031085</td>\n",
+       "      <td>9.82</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>186435</td>\n",
-       "      <td>127105.0</td>\n",
-       "      <td>-0.479911</td>\n",
-       "      <td>-0.972557</td>\n",
-       "      <td>-0.390000</td>\n",
-       "      <td>-0.946455</td>\n",
-       "      <td>-1.269423</td>\n",
-       "      <td>-0.266654</td>\n",
-       "      <td>2.122984</td>\n",
-       "      <td>-0.428420</td>\n",
-       "      <td>-1.204221</td>\n",
+       "      <td>206827</td>\n",
+       "      <td>136388.0</td>\n",
+       "      <td>1.418723</td>\n",
+       "      <td>-1.194791</td>\n",
+       "      <td>-1.984672</td>\n",
+       "      <td>0.133039</td>\n",
+       "      <td>0.829466</td>\n",
+       "      <td>1.479689</td>\n",
+       "      <td>0.149591</td>\n",
+       "      <td>0.312983</td>\n",
+       "      <td>0.366906</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.297067</td>\n",
-       "      <td>0.698181</td>\n",
-       "      <td>0.816703</td>\n",
-       "      <td>-0.056342</td>\n",
-       "      <td>0.140769</td>\n",
-       "      <td>-0.105647</td>\n",
-       "      <td>-0.063932</td>\n",
-       "      <td>0.073933</td>\n",
-       "      <td>453.50</td>\n",
+       "      <td>-0.005464</td>\n",
+       "      <td>-0.448810</td>\n",
+       "      <td>0.067461</td>\n",
+       "      <td>-0.926179</td>\n",
+       "      <td>-0.439742</td>\n",
+       "      <td>0.329470</td>\n",
+       "      <td>-0.087281</td>\n",
+       "      <td>-0.036939</td>\n",
+       "      <td>278.00</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>179281</td>\n",
-       "      <td>124002.0</td>\n",
-       "      <td>1.965279</td>\n",
-       "      <td>-1.749666</td>\n",
-       "      <td>-0.846317</td>\n",
-       "      <td>-2.779776</td>\n",
-       "      <td>-1.235533</td>\n",
-       "      <td>-0.150039</td>\n",
-       "      <td>-1.094504</td>\n",
-       "      <td>-0.075989</td>\n",
-       "      <td>1.674848</td>\n",
+       "      <td>68499</td>\n",
+       "      <td>53018.0</td>\n",
+       "      <td>1.089579</td>\n",
+       "      <td>0.092248</td>\n",
+       "      <td>0.352815</td>\n",
+       "      <td>1.047891</td>\n",
+       "      <td>-0.026522</td>\n",
+       "      <td>0.354925</td>\n",
+       "      <td>-0.205202</td>\n",
+       "      <td>0.295345</td>\n",
+       "      <td>-0.088671</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.220130</td>\n",
-       "      <td>-0.117468</td>\n",
-       "      <td>0.100612</td>\n",
-       "      <td>0.036531</td>\n",
-       "      <td>-0.208024</td>\n",
-       "      <td>-0.915857</td>\n",
-       "      <td>0.105922</td>\n",
-       "      <td>0.003541</td>\n",
-       "      <td>136.69</td>\n",
+       "      <td>0.167600</td>\n",
+       "      <td>0.490186</td>\n",
+       "      <td>-0.052174</td>\n",
+       "      <td>-0.317793</td>\n",
+       "      <td>0.450076</td>\n",
+       "      <td>-0.235067</td>\n",
+       "      <td>0.038077</td>\n",
+       "      <td>0.003460</td>\n",
+       "      <td>10.98</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>188589</td>\n",
-       "      <td>128041.0</td>\n",
-       "      <td>2.129589</td>\n",
-       "      <td>-0.740330</td>\n",
-       "      <td>-1.256627</td>\n",
-       "      <td>-0.640444</td>\n",
-       "      <td>-0.693516</td>\n",
-       "      <td>-0.687919</td>\n",
-       "      <td>-0.961282</td>\n",
-       "      <td>-0.046848</td>\n",
-       "      <td>0.142140</td>\n",
+       "      <td>106360</td>\n",
+       "      <td>69935.0</td>\n",
+       "      <td>-0.299013</td>\n",
+       "      <td>1.209783</td>\n",
+       "      <td>0.841016</td>\n",
+       "      <td>1.082661</td>\n",
+       "      <td>-0.467808</td>\n",
+       "      <td>-1.046840</td>\n",
+       "      <td>0.340720</td>\n",
+       "      <td>0.261113</td>\n",
+       "      <td>-0.661789</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.230416</td>\n",
-       "      <td>0.667023</td>\n",
-       "      <td>0.131008</td>\n",
-       "      <td>0.618278</td>\n",
-       "      <td>-0.148570</td>\n",
-       "      <td>-0.120337</td>\n",
-       "      <td>0.018068</td>\n",
-       "      <td>-0.004009</td>\n",
-       "      <td>29.95</td>\n",
+       "      <td>0.191102</td>\n",
+       "      <td>0.449185</td>\n",
+       "      <td>-0.009516</td>\n",
+       "      <td>0.711352</td>\n",
+       "      <td>-0.190425</td>\n",
+       "      <td>-0.346857</td>\n",
+       "      <td>-0.046034</td>\n",
+       "      <td>-0.015688</td>\n",
+       "      <td>9.95</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>266508</td>\n",
-       "      <td>162363.0</td>\n",
-       "      <td>2.089685</td>\n",
-       "      <td>0.081443</td>\n",
-       "      <td>-2.190706</td>\n",
-       "      <td>-0.150552</td>\n",
-       "      <td>0.736869</td>\n",
-       "      <td>-1.105564</td>\n",
-       "      <td>0.676433</td>\n",
-       "      <td>-0.394297</td>\n",
-       "      <td>-0.098715</td>\n",
+       "      <td>132540</td>\n",
+       "      <td>80021.0</td>\n",
+       "      <td>1.006704</td>\n",
+       "      <td>-1.956536</td>\n",
+       "      <td>-0.147116</td>\n",
+       "      <td>-1.607973</td>\n",
+       "      <td>-1.070065</td>\n",
+       "      <td>0.744347</td>\n",
+       "      <td>-0.939571</td>\n",
+       "      <td>0.127666</td>\n",
+       "      <td>-1.939991</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.200808</td>\n",
-       "      <td>0.653204</td>\n",
-       "      <td>-0.019816</td>\n",
-       "      <td>0.827394</td>\n",
-       "      <td>0.427329</td>\n",
-       "      <td>0.183495</td>\n",
-       "      <td>-0.094322</td>\n",
-       "      <td>-0.080474</td>\n",
-       "      <td>7.70</td>\n",
+       "      <td>-0.220474</td>\n",
+       "      <td>-0.871544</td>\n",
+       "      <td>-0.202300</td>\n",
+       "      <td>-1.386973</td>\n",
+       "      <td>0.113591</td>\n",
+       "      <td>-0.341077</td>\n",
+       "      <td>0.004568</td>\n",
+       "      <td>0.047912</td>\n",
+       "      <td>274.65</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>98039</td>\n",
-       "      <td>66491.0</td>\n",
-       "      <td>1.038279</td>\n",
-       "      <td>-0.130291</td>\n",
-       "      <td>1.033925</td>\n",
-       "      <td>1.655057</td>\n",
-       "      <td>-0.744910</td>\n",
-       "      <td>0.105462</td>\n",
-       "      <td>-0.344991</td>\n",
-       "      <td>0.150649</td>\n",
-       "      <td>0.861917</td>\n",
+       "      <td>103569</td>\n",
+       "      <td>68715.0</td>\n",
+       "      <td>-0.003142</td>\n",
+       "      <td>0.554451</td>\n",
+       "      <td>0.579676</td>\n",
+       "      <td>-0.649503</td>\n",
+       "      <td>-0.154081</td>\n",
+       "      <td>-1.373667</td>\n",
+       "      <td>0.822429</td>\n",
+       "      <td>-1.263275</td>\n",
+       "      <td>-0.565856</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.047036</td>\n",
-       "      <td>0.163616</td>\n",
-       "      <td>-0.055206</td>\n",
-       "      <td>0.434549</td>\n",
-       "      <td>0.555950</td>\n",
-       "      <td>-0.281158</td>\n",
-       "      <td>0.067173</td>\n",
-       "      <td>0.030920</td>\n",
-       "      <td>38.00</td>\n",
+       "      <td>0.789704</td>\n",
+       "      <td>-0.346732</td>\n",
+       "      <td>-0.182952</td>\n",
+       "      <td>0.803824</td>\n",
+       "      <td>1.052239</td>\n",
+       "      <td>0.977560</td>\n",
+       "      <td>-0.011204</td>\n",
+       "      <td>0.184979</td>\n",
+       "      <td>79.00</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>235331</td>\n",
-       "      <td>148343.0</td>\n",
-       "      <td>2.157284</td>\n",
-       "      <td>-0.889160</td>\n",
-       "      <td>-0.933233</td>\n",
-       "      <td>-1.066889</td>\n",
-       "      <td>-0.725819</td>\n",
-       "      <td>-0.624452</td>\n",
-       "      <td>-0.727242</td>\n",
-       "      <td>-0.038927</td>\n",
-       "      <td>-0.369495</td>\n",
+       "      <td>2955</td>\n",
+       "      <td>2500.0</td>\n",
+       "      <td>-0.545070</td>\n",
+       "      <td>0.900823</td>\n",
+       "      <td>1.174433</td>\n",
+       "      <td>-0.148957</td>\n",
+       "      <td>0.876214</td>\n",
+       "      <td>1.035892</td>\n",
+       "      <td>0.354843</td>\n",
+       "      <td>0.526486</td>\n",
+       "      <td>-0.417472</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.242153</td>\n",
-       "      <td>-0.870052</td>\n",
-       "      <td>0.420634</td>\n",
-       "      <td>-0.582597</td>\n",
-       "      <td>-0.561018</td>\n",
-       "      <td>-0.676131</td>\n",
-       "      <td>-0.025561</td>\n",
-       "      <td>-0.059520</td>\n",
-       "      <td>20.95</td>\n",
+       "      <td>-0.142364</td>\n",
+       "      <td>-0.191616</td>\n",
+       "      <td>0.113528</td>\n",
+       "      <td>-1.017679</td>\n",
+       "      <td>-0.472212</td>\n",
+       "      <td>0.200674</td>\n",
+       "      <td>0.316876</td>\n",
+       "      <td>0.084066</td>\n",
+       "      <td>1.79</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>264624</td>\n",
-       "      <td>161509.0</td>\n",
-       "      <td>-0.442574</td>\n",
-       "      <td>1.200402</td>\n",
-       "      <td>-0.120958</td>\n",
-       "      <td>-0.535542</td>\n",
-       "      <td>1.456946</td>\n",
-       "      <td>-1.287098</td>\n",
-       "      <td>2.037456</td>\n",
-       "      <td>-0.419745</td>\n",
-       "      <td>-0.995552</td>\n",
+       "      <td>62985</td>\n",
+       "      <td>50502.0</td>\n",
+       "      <td>1.189319</td>\n",
+       "      <td>0.147631</td>\n",
+       "      <td>0.394972</td>\n",
+       "      <td>1.162492</td>\n",
+       "      <td>-0.515779</td>\n",
+       "      <td>-0.884459</td>\n",
+       "      <td>0.028185</td>\n",
+       "      <td>-0.129993</td>\n",
+       "      <td>0.271782</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.264501</td>\n",
-       "      <td>0.651615</td>\n",
-       "      <td>-0.221086</td>\n",
-       "      <td>1.138757</td>\n",
-       "      <td>0.290194</td>\n",
-       "      <td>-0.809409</td>\n",
-       "      <td>0.093909</td>\n",
-       "      <td>0.171767</td>\n",
-       "      <td>37.95</td>\n",
+       "      <td>0.116994</td>\n",
+       "      <td>0.298632</td>\n",
+       "      <td>-0.142350</td>\n",
+       "      <td>0.380587</td>\n",
+       "      <td>0.655436</td>\n",
+       "      <td>-0.251230</td>\n",
+       "      <td>0.011096</td>\n",
+       "      <td>0.023765</td>\n",
+       "      <td>27.30</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1268,40 +1270,40 @@
       ],
       "text/plain": [
        "            Time        V1        V2        V3        V4        V5        V6  \\\n",
-       "46957    43006.0  1.137622  0.174313  0.404251  1.087450 -0.247634 -0.417979   \n",
-       "272380  165059.0  1.954320 -0.601255 -0.336373  0.318712 -0.726208 -0.037220   \n",
-       "181205  124873.0  1.993000  0.105581 -1.478922  0.656160  0.049561 -1.133651   \n",
-       "186435  127105.0 -0.479911 -0.972557 -0.390000 -0.946455 -1.269423 -0.266654   \n",
-       "179281  124002.0  1.965279 -1.749666 -0.846317 -2.779776 -1.235533 -0.150039   \n",
-       "188589  128041.0  2.129589 -0.740330 -1.256627 -0.640444 -0.693516 -0.687919   \n",
-       "266508  162363.0  2.089685  0.081443 -2.190706 -0.150552  0.736869 -1.105564   \n",
-       "98039    66491.0  1.038279 -0.130291  1.033925  1.655057 -0.744910  0.105462   \n",
-       "235331  148343.0  2.157284 -0.889160 -0.933233 -1.066889 -0.725819 -0.624452   \n",
-       "264624  161509.0 -0.442574  1.200402 -0.120958 -0.535542  1.456946 -1.287098   \n",
+       "239960  150362.0  2.047890  0.111725 -1.803352  0.231603  0.640195 -0.379255   \n",
+       "155702  106173.0 -0.609409  0.717388  2.235283 -0.154805 -0.330174 -0.126641   \n",
+       "41522    40718.0 -0.736405  0.990598 -0.269066 -0.244532  1.935546  3.675422   \n",
+       "206827  136388.0  1.418723 -1.194791 -1.984672  0.133039  0.829466  1.479689   \n",
+       "68499    53018.0  1.089579  0.092248  0.352815  1.047891 -0.026522  0.354925   \n",
+       "106360   69935.0 -0.299013  1.209783  0.841016  1.082661 -0.467808 -1.046840   \n",
+       "132540   80021.0  1.006704 -1.956536 -0.147116 -1.607973 -1.070065  0.744347   \n",
+       "103569   68715.0 -0.003142  0.554451  0.579676 -0.649503 -0.154081 -1.373667   \n",
+       "2955      2500.0 -0.545070  0.900823  1.174433 -0.148957  0.876214  1.035892   \n",
+       "62985    50502.0  1.189319  0.147631  0.394972  1.162492 -0.515779 -0.884459   \n",
        "\n",
        "              V7        V8        V9  ...       V21       V22       V23  \\\n",
-       "46957   0.041166 -0.033588  0.105511  ... -0.014668 -0.060018 -0.009794   \n",
-       "272380 -0.849702  0.196205  1.196176  ...  0.185757  0.675356  0.130278   \n",
-       "181205  0.093379 -0.131271  0.371934  ... -0.304203 -0.822471  0.324402   \n",
-       "186435  2.122984 -0.428420 -1.204221  ...  0.297067  0.698181  0.816703   \n",
-       "179281 -1.094504 -0.075989  1.674848  ... -0.220130 -0.117468  0.100612   \n",
-       "188589 -0.961282 -0.046848  0.142140  ...  0.230416  0.667023  0.131008   \n",
-       "266508  0.676433 -0.394297 -0.098715  ...  0.200808  0.653204 -0.019816   \n",
-       "98039  -0.344991  0.150649  0.861917  ... -0.047036  0.163616 -0.055206   \n",
-       "235331 -0.727242 -0.038927 -0.369495  ... -0.242153 -0.870052  0.420634   \n",
-       "264624  2.037456 -0.419745 -0.995552  ...  0.264501  0.651615 -0.221086   \n",
+       "239960  0.099140 -0.087327  0.211342  ... -0.327468 -0.864908  0.284974   \n",
+       "155702  0.127604  0.224505  1.489330  ... -0.229486 -0.541650 -0.224648   \n",
+       "41522  -0.570128  1.416500 -0.460843  ...  0.070098  0.044671 -0.079959   \n",
+       "206827  0.149591  0.312983  0.366906  ... -0.005464 -0.448810  0.067461   \n",
+       "68499  -0.205202  0.295345 -0.088671  ...  0.167600  0.490186 -0.052174   \n",
+       "106360  0.340720  0.261113 -0.661789  ...  0.191102  0.449185 -0.009516   \n",
+       "132540 -0.939571  0.127666 -1.939991  ... -0.220474 -0.871544 -0.202300   \n",
+       "103569  0.822429 -1.263275 -0.565856  ...  0.789704 -0.346732 -0.182952   \n",
+       "2955    0.354843  0.526486 -0.417472  ... -0.142364 -0.191616  0.113528   \n",
+       "62985   0.028185 -0.129993  0.271782  ...  0.116994  0.298632 -0.142350   \n",
        "\n",
        "             V24       V25       V26       V27       V28  Amount  Class  \n",
-       "46957   0.053553  0.447414 -0.410587  0.031298  0.026130   31.31      0  \n",
-       "272380 -0.367591 -0.321441  0.578047 -0.027790 -0.062811   11.50      0  \n",
-       "181205 -0.069119 -0.339543 -0.004205 -0.053316 -0.041599    2.50      0  \n",
-       "186435 -0.056342  0.140769 -0.105647 -0.063932  0.073933  453.50      0  \n",
-       "179281  0.036531 -0.208024 -0.915857  0.105922  0.003541  136.69      0  \n",
-       "188589  0.618278 -0.148570 -0.120337  0.018068 -0.004009   29.95      0  \n",
-       "266508  0.827394  0.427329  0.183495 -0.094322 -0.080474    7.70      0  \n",
-       "98039   0.434549  0.555950 -0.281158  0.067173  0.030920   38.00      0  \n",
-       "235331 -0.582597 -0.561018 -0.676131 -0.025561 -0.059520   20.95      0  \n",
-       "264624  1.138757  0.290194 -0.809409  0.093909  0.171767   37.95      0  \n",
+       "239960  0.193684 -0.240132  0.171304 -0.065565 -0.042547    4.49      0  \n",
+       "155702 -0.098500  0.161573 -0.716275  0.061937  0.061947   11.27      0  \n",
+       "41522   0.990600  0.192730 -0.298879  0.084325  0.031085    9.82      0  \n",
+       "206827 -0.926179 -0.439742  0.329470 -0.087281 -0.036939  278.00      0  \n",
+       "68499  -0.317793  0.450076 -0.235067  0.038077  0.003460   10.98      0  \n",
+       "106360  0.711352 -0.190425 -0.346857 -0.046034 -0.015688    9.95      0  \n",
+       "132540 -1.386973  0.113591 -0.341077  0.004568  0.047912  274.65      0  \n",
+       "103569  0.803824  1.052239  0.977560 -0.011204  0.184979   79.00      0  \n",
+       "2955   -1.017679 -0.472212  0.200674  0.316876  0.084066    1.79      0  \n",
+       "62985   0.380587  0.655436 -0.251230  0.011096  0.023765   27.30      0  \n",
        "\n",
        "[10 rows x 31 columns]"
       ]
@@ -1368,243 +1370,243 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <td>192687</td>\n",
-       "      <td>129808.0</td>\n",
-       "      <td>1.522080</td>\n",
-       "      <td>-0.519429</td>\n",
-       "      <td>-2.581685</td>\n",
-       "      <td>0.774741</td>\n",
-       "      <td>0.206722</td>\n",
-       "      <td>-1.431020</td>\n",
-       "      <td>0.757011</td>\n",
-       "      <td>-0.444418</td>\n",
-       "      <td>0.997921</td>\n",
+       "      <td>248971</td>\n",
+       "      <td>154181.0</td>\n",
+       "      <td>-0.549615</td>\n",
+       "      <td>2.219075</td>\n",
+       "      <td>-3.522024</td>\n",
+       "      <td>0.236995</td>\n",
+       "      <td>1.087469</td>\n",
+       "      <td>-1.235530</td>\n",
+       "      <td>-0.279313</td>\n",
+       "      <td>0.514361</td>\n",
+       "      <td>-1.849927</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.019649</td>\n",
-       "      <td>-0.211678</td>\n",
-       "      <td>-0.247452</td>\n",
-       "      <td>-0.279472</td>\n",
-       "      <td>0.239646</td>\n",
-       "      <td>-0.508398</td>\n",
-       "      <td>-0.015551</td>\n",
-       "      <td>0.041881</td>\n",
-       "      <td>276.17</td>\n",
+       "      <td>0.364130</td>\n",
+       "      <td>0.210428</td>\n",
+       "      <td>-0.366019</td>\n",
+       "      <td>0.015803</td>\n",
+       "      <td>0.349212</td>\n",
+       "      <td>0.647302</td>\n",
+       "      <td>0.171929</td>\n",
+       "      <td>0.117188</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>59539</td>\n",
-       "      <td>48884.0</td>\n",
-       "      <td>-2.139051</td>\n",
-       "      <td>1.394368</td>\n",
-       "      <td>-0.612035</td>\n",
-       "      <td>1.049327</td>\n",
-       "      <td>-1.162102</td>\n",
-       "      <td>-0.768219</td>\n",
-       "      <td>-1.997237</td>\n",
-       "      <td>0.574997</td>\n",
-       "      <td>-0.980832</td>\n",
+       "      <td>30314</td>\n",
+       "      <td>35866.0</td>\n",
+       "      <td>-2.044489</td>\n",
+       "      <td>3.368306</td>\n",
+       "      <td>-3.937111</td>\n",
+       "      <td>5.623120</td>\n",
+       "      <td>-3.079232</td>\n",
+       "      <td>-1.253474</td>\n",
+       "      <td>-5.778880</td>\n",
+       "      <td>1.707428</td>\n",
+       "      <td>-4.467103</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.696955</td>\n",
-       "      <td>0.740003</td>\n",
-       "      <td>-0.155115</td>\n",
-       "      <td>-0.050607</td>\n",
-       "      <td>0.268368</td>\n",
-       "      <td>-0.469433</td>\n",
-       "      <td>-0.405814</td>\n",
-       "      <td>-0.152171</td>\n",
-       "      <td>19.73</td>\n",
+       "      <td>1.483594</td>\n",
+       "      <td>0.834311</td>\n",
+       "      <td>-0.148486</td>\n",
+       "      <td>0.001669</td>\n",
+       "      <td>-0.038996</td>\n",
+       "      <td>0.389526</td>\n",
+       "      <td>1.300236</td>\n",
+       "      <td>0.549940</td>\n",
+       "      <td>7.61</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>128479</td>\n",
-       "      <td>78725.0</td>\n",
-       "      <td>-4.312479</td>\n",
-       "      <td>1.886476</td>\n",
-       "      <td>-2.338634</td>\n",
-       "      <td>-0.475243</td>\n",
-       "      <td>-1.185444</td>\n",
-       "      <td>-2.112079</td>\n",
-       "      <td>-2.122793</td>\n",
-       "      <td>0.272565</td>\n",
-       "      <td>0.290273</td>\n",
+       "      <td>197586</td>\n",
+       "      <td>132086.0</td>\n",
+       "      <td>-0.361428</td>\n",
+       "      <td>1.133472</td>\n",
+       "      <td>-2.971360</td>\n",
+       "      <td>-0.283073</td>\n",
+       "      <td>0.371452</td>\n",
+       "      <td>-0.574680</td>\n",
+       "      <td>4.031513</td>\n",
+       "      <td>-0.934398</td>\n",
+       "      <td>-0.768255</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.550541</td>\n",
-       "      <td>-0.067870</td>\n",
-       "      <td>-1.114692</td>\n",
-       "      <td>0.269069</td>\n",
-       "      <td>-0.020572</td>\n",
-       "      <td>-0.963489</td>\n",
-       "      <td>-0.918888</td>\n",
-       "      <td>0.001454</td>\n",
-       "      <td>60.00</td>\n",
+       "      <td>0.110815</td>\n",
+       "      <td>0.563861</td>\n",
+       "      <td>-0.408436</td>\n",
+       "      <td>-0.880079</td>\n",
+       "      <td>1.408392</td>\n",
+       "      <td>-0.137402</td>\n",
+       "      <td>-0.001250</td>\n",
+       "      <td>-0.182751</td>\n",
+       "      <td>480.72</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>43204</td>\n",
-       "      <td>41413.0</td>\n",
-       "      <td>-15.140450</td>\n",
-       "      <td>7.378042</td>\n",
-       "      <td>-16.356367</td>\n",
-       "      <td>9.194935</td>\n",
-       "      <td>-13.466163</td>\n",
-       "      <td>-2.958431</td>\n",
-       "      <td>-16.165539</td>\n",
-       "      <td>10.075254</td>\n",
-       "      <td>-7.901821</td>\n",
+       "      <td>57615</td>\n",
+       "      <td>47982.0</td>\n",
+       "      <td>-1.232804</td>\n",
+       "      <td>2.244119</td>\n",
+       "      <td>-1.703826</td>\n",
+       "      <td>1.492536</td>\n",
+       "      <td>-1.192985</td>\n",
+       "      <td>-1.686110</td>\n",
+       "      <td>-1.864612</td>\n",
+       "      <td>0.856122</td>\n",
+       "      <td>-1.973535</td>\n",
        "      <td>...</td>\n",
-       "      <td>3.147428</td>\n",
-       "      <td>0.341678</td>\n",
-       "      <td>-1.150162</td>\n",
-       "      <td>0.795190</td>\n",
-       "      <td>-0.194542</td>\n",
-       "      <td>0.145964</td>\n",
-       "      <td>-2.458680</td>\n",
-       "      <td>-1.189888</td>\n",
-       "      <td>106.55</td>\n",
+       "      <td>0.560475</td>\n",
+       "      <td>0.165682</td>\n",
+       "      <td>-0.013754</td>\n",
+       "      <td>0.474935</td>\n",
+       "      <td>-0.218725</td>\n",
+       "      <td>0.302809</td>\n",
+       "      <td>0.466031</td>\n",
+       "      <td>0.250134</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>42741</td>\n",
-       "      <td>41227.0</td>\n",
-       "      <td>-9.001351</td>\n",
-       "      <td>6.613284</td>\n",
-       "      <td>-12.423635</td>\n",
-       "      <td>7.519929</td>\n",
-       "      <td>-10.266255</td>\n",
-       "      <td>-2.113208</td>\n",
-       "      <td>-9.984287</td>\n",
-       "      <td>5.541941</td>\n",
-       "      <td>-7.383705</td>\n",
+       "      <td>219892</td>\n",
+       "      <td>141925.0</td>\n",
+       "      <td>0.120301</td>\n",
+       "      <td>1.974141</td>\n",
+       "      <td>-0.434087</td>\n",
+       "      <td>5.390793</td>\n",
+       "      <td>1.289684</td>\n",
+       "      <td>0.280590</td>\n",
+       "      <td>0.221963</td>\n",
+       "      <td>0.067827</td>\n",
+       "      <td>-1.387054</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.775891</td>\n",
-       "      <td>-1.224758</td>\n",
-       "      <td>0.082594</td>\n",
-       "      <td>0.452089</td>\n",
-       "      <td>0.463827</td>\n",
-       "      <td>-0.296928</td>\n",
-       "      <td>0.526506</td>\n",
-       "      <td>-0.450890</td>\n",
-       "      <td>459.07</td>\n",
+       "      <td>-0.038690</td>\n",
+       "      <td>0.204554</td>\n",
+       "      <td>-0.167313</td>\n",
+       "      <td>0.791547</td>\n",
+       "      <td>-0.223675</td>\n",
+       "      <td>0.473223</td>\n",
+       "      <td>-0.160202</td>\n",
+       "      <td>0.065039</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>218442</td>\n",
-       "      <td>141320.0</td>\n",
-       "      <td>-6.352337</td>\n",
-       "      <td>-2.370335</td>\n",
-       "      <td>-4.875397</td>\n",
-       "      <td>2.335045</td>\n",
-       "      <td>-0.809555</td>\n",
-       "      <td>-0.413647</td>\n",
-       "      <td>-4.082308</td>\n",
-       "      <td>2.239089</td>\n",
-       "      <td>-1.986360</td>\n",
+       "      <td>263080</td>\n",
+       "      <td>160791.0</td>\n",
+       "      <td>2.132386</td>\n",
+       "      <td>0.705608</td>\n",
+       "      <td>-3.530759</td>\n",
+       "      <td>0.514779</td>\n",
+       "      <td>1.527175</td>\n",
+       "      <td>-1.716268</td>\n",
+       "      <td>1.132791</td>\n",
+       "      <td>-0.574214</td>\n",
+       "      <td>0.128904</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.325218</td>\n",
-       "      <td>1.226745</td>\n",
-       "      <td>-1.485217</td>\n",
-       "      <td>-1.470732</td>\n",
-       "      <td>-0.240053</td>\n",
-       "      <td>0.112972</td>\n",
-       "      <td>0.910591</td>\n",
-       "      <td>-0.650944</td>\n",
-       "      <td>195.66</td>\n",
+       "      <td>0.163739</td>\n",
+       "      <td>0.703910</td>\n",
+       "      <td>-0.245076</td>\n",
+       "      <td>0.460049</td>\n",
+       "      <td>0.920281</td>\n",
+       "      <td>-0.216586</td>\n",
+       "      <td>-0.026219</td>\n",
+       "      <td>-0.025001</td>\n",
+       "      <td>1.00</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>261925</td>\n",
-       "      <td>160243.0</td>\n",
-       "      <td>-2.783865</td>\n",
-       "      <td>1.596824</td>\n",
-       "      <td>-2.084844</td>\n",
-       "      <td>2.512986</td>\n",
-       "      <td>-1.446749</td>\n",
-       "      <td>-0.828496</td>\n",
-       "      <td>-0.732262</td>\n",
-       "      <td>-0.203329</td>\n",
-       "      <td>-0.347046</td>\n",
+       "      <td>147605</td>\n",
+       "      <td>88737.0</td>\n",
+       "      <td>1.917827</td>\n",
+       "      <td>0.951967</td>\n",
+       "      <td>-2.059206</td>\n",
+       "      <td>3.833998</td>\n",
+       "      <td>1.668192</td>\n",
+       "      <td>0.769826</td>\n",
+       "      <td>0.232463</td>\n",
+       "      <td>0.107941</td>\n",
+       "      <td>-1.143646</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.203563</td>\n",
-       "      <td>0.293268</td>\n",
-       "      <td>0.199568</td>\n",
-       "      <td>0.146868</td>\n",
-       "      <td>0.163602</td>\n",
-       "      <td>-0.624085</td>\n",
-       "      <td>-1.333100</td>\n",
-       "      <td>0.428634</td>\n",
-       "      <td>156.00</td>\n",
+       "      <td>0.015255</td>\n",
+       "      <td>0.239994</td>\n",
+       "      <td>-0.111916</td>\n",
+       "      <td>-0.380576</td>\n",
+       "      <td>0.370995</td>\n",
+       "      <td>0.189117</td>\n",
+       "      <td>-0.005823</td>\n",
+       "      <td>-0.012105</td>\n",
+       "      <td>9.21</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>213092</td>\n",
-       "      <td>139107.0</td>\n",
-       "      <td>-4.666500</td>\n",
-       "      <td>-3.952320</td>\n",
-       "      <td>0.206094</td>\n",
-       "      <td>5.153525</td>\n",
-       "      <td>5.229469</td>\n",
-       "      <td>0.939040</td>\n",
-       "      <td>-0.635033</td>\n",
-       "      <td>-0.704506</td>\n",
-       "      <td>-0.234786</td>\n",
+       "      <td>157871</td>\n",
+       "      <td>110552.0</td>\n",
+       "      <td>-2.450367</td>\n",
+       "      <td>2.107729</td>\n",
+       "      <td>-5.140663</td>\n",
+       "      <td>1.411304</td>\n",
+       "      <td>-1.690780</td>\n",
+       "      <td>-0.736427</td>\n",
+       "      <td>-3.657946</td>\n",
+       "      <td>1.944906</td>\n",
+       "      <td>-0.788388</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.664263</td>\n",
-       "      <td>1.821422</td>\n",
-       "      <td>0.113563</td>\n",
-       "      <td>-0.759673</td>\n",
-       "      <td>-0.502304</td>\n",
-       "      <td>0.630639</td>\n",
-       "      <td>-0.513880</td>\n",
-       "      <td>0.729526</td>\n",
-       "      <td>22.47</td>\n",
+       "      <td>0.800538</td>\n",
+       "      <td>0.364617</td>\n",
+       "      <td>0.233608</td>\n",
+       "      <td>-0.282078</td>\n",
+       "      <td>-0.320311</td>\n",
+       "      <td>0.492920</td>\n",
+       "      <td>0.359976</td>\n",
+       "      <td>-0.115471</td>\n",
+       "      <td>80.22</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>12369</td>\n",
-       "      <td>21662.0</td>\n",
-       "      <td>-18.018561</td>\n",
-       "      <td>10.558600</td>\n",
-       "      <td>-24.667741</td>\n",
-       "      <td>11.786180</td>\n",
-       "      <td>-10.564657</td>\n",
-       "      <td>-2.645681</td>\n",
-       "      <td>-18.023468</td>\n",
-       "      <td>2.693655</td>\n",
-       "      <td>-6.219464</td>\n",
+       "      <td>48094</td>\n",
+       "      <td>43494.0</td>\n",
+       "      <td>-1.278138</td>\n",
+       "      <td>0.716242</td>\n",
+       "      <td>-1.143279</td>\n",
+       "      <td>0.217805</td>\n",
+       "      <td>-1.293890</td>\n",
+       "      <td>-1.168952</td>\n",
+       "      <td>-2.564182</td>\n",
+       "      <td>0.204532</td>\n",
+       "      <td>-1.611155</td>\n",
        "      <td>...</td>\n",
-       "      <td>-2.319479</td>\n",
-       "      <td>0.908839</td>\n",
-       "      <td>1.352904</td>\n",
-       "      <td>-1.059222</td>\n",
-       "      <td>0.185751</td>\n",
-       "      <td>0.687037</td>\n",
-       "      <td>2.078081</td>\n",
-       "      <td>-1.429517</td>\n",
-       "      <td>1.00</td>\n",
+       "      <td>0.490183</td>\n",
+       "      <td>0.470427</td>\n",
+       "      <td>-0.126261</td>\n",
+       "      <td>-0.126644</td>\n",
+       "      <td>-0.661908</td>\n",
+       "      <td>-0.349793</td>\n",
+       "      <td>0.454851</td>\n",
+       "      <td>0.137843</td>\n",
+       "      <td>24.90</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <td>47802</td>\n",
-       "      <td>43369.0</td>\n",
-       "      <td>-3.365319</td>\n",
-       "      <td>2.426503</td>\n",
-       "      <td>-3.752227</td>\n",
-       "      <td>0.276017</td>\n",
-       "      <td>-2.305870</td>\n",
-       "      <td>-1.961578</td>\n",
-       "      <td>-3.029283</td>\n",
-       "      <td>-1.674462</td>\n",
-       "      <td>0.183961</td>\n",
+       "      <td>151103</td>\n",
+       "      <td>94625.0</td>\n",
+       "      <td>1.707857</td>\n",
+       "      <td>0.024881</td>\n",
+       "      <td>-0.488140</td>\n",
+       "      <td>3.787548</td>\n",
+       "      <td>1.139451</td>\n",
+       "      <td>2.914673</td>\n",
+       "      <td>-0.743358</td>\n",
+       "      <td>0.699136</td>\n",
+       "      <td>1.008471</td>\n",
        "      <td>...</td>\n",
-       "      <td>2.070008</td>\n",
-       "      <td>-0.512626</td>\n",
-       "      <td>-0.248502</td>\n",
-       "      <td>0.126550</td>\n",
-       "      <td>0.104166</td>\n",
-       "      <td>-1.055997</td>\n",
-       "      <td>-1.200165</td>\n",
-       "      <td>-1.012066</td>\n",
-       "      <td>88.00</td>\n",
+       "      <td>0.010865</td>\n",
+       "      <td>0.548258</td>\n",
+       "      <td>0.091218</td>\n",
+       "      <td>-1.007959</td>\n",
+       "      <td>-0.082183</td>\n",
+       "      <td>0.179709</td>\n",
+       "      <td>0.007738</td>\n",
+       "      <td>-0.068841</td>\n",
+       "      <td>33.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1613,53 +1615,41 @@
        "</div>"
       ],
       "text/plain": [
-       "            Time         V1         V2         V3         V4         V5  \\\n",
-       "192687  129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-       "59539    48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-       "128479   78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-       "43204    41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-       "42741    41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-       "218442  141320.0  -6.352337  -2.370335  -4.875397   2.335045  -0.809555   \n",
-       "261925  160243.0  -2.783865   1.596824  -2.084844   2.512986  -1.446749   \n",
-       "213092  139107.0  -4.666500  -3.952320   0.206094   5.153525   5.229469   \n",
-       "12369    21662.0 -18.018561  10.558600 -24.667741  11.786180 -10.564657   \n",
-       "47802    43369.0  -3.365319   2.426503  -3.752227   0.276017  -2.305870   \n",
-       "\n",
-       "              V6         V7         V8        V9  ...       V21       V22  \\\n",
-       "192687 -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-       "59539  -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-       "128479 -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-       "43204  -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-       "42741  -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-       "218442 -0.413647  -4.082308   2.239089 -1.986360  ...  1.325218  1.226745   \n",
-       "261925 -0.828496  -0.732262  -0.203329 -0.347046  ...  0.203563  0.293268   \n",
-       "213092  0.939040  -0.635033  -0.704506 -0.234786  ... -0.664263  1.821422   \n",
-       "12369  -2.645681 -18.023468   2.693655 -6.219464  ... -2.319479  0.908839   \n",
-       "47802  -1.961578  -3.029283  -1.674462  0.183961  ...  2.070008 -0.512626   \n",
+       "            Time        V1        V2        V3        V4        V5        V6  \\\n",
+       "248971  154181.0 -0.549615  2.219075 -3.522024  0.236995  1.087469 -1.235530   \n",
+       "30314    35866.0 -2.044489  3.368306 -3.937111  5.623120 -3.079232 -1.253474   \n",
+       "197586  132086.0 -0.361428  1.133472 -2.971360 -0.283073  0.371452 -0.574680   \n",
+       "57615    47982.0 -1.232804  2.244119 -1.703826  1.492536 -1.192985 -1.686110   \n",
+       "219892  141925.0  0.120301  1.974141 -0.434087  5.390793  1.289684  0.280590   \n",
+       "263080  160791.0  2.132386  0.705608 -3.530759  0.514779  1.527175 -1.716268   \n",
+       "147605   88737.0  1.917827  0.951967 -2.059206  3.833998  1.668192  0.769826   \n",
+       "157871  110552.0 -2.450367  2.107729 -5.140663  1.411304 -1.690780 -0.736427   \n",
+       "48094    43494.0 -1.278138  0.716242 -1.143279  0.217805 -1.293890 -1.168952   \n",
+       "151103   94625.0  1.707857  0.024881 -0.488140  3.787548  1.139451  2.914673   \n",
        "\n",
-       "             V23       V24       V25       V26       V27       V28  Amount  \\\n",
-       "192687 -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17   \n",
-       "59539  -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73   \n",
-       "128479 -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00   \n",
-       "43204  -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55   \n",
-       "42741   0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07   \n",
-       "218442 -1.485217 -1.470732 -0.240053  0.112972  0.910591 -0.650944  195.66   \n",
-       "261925  0.199568  0.146868  0.163602 -0.624085 -1.333100  0.428634  156.00   \n",
-       "213092  0.113563 -0.759673 -0.502304  0.630639 -0.513880  0.729526   22.47   \n",
-       "12369   1.352904 -1.059222  0.185751  0.687037  2.078081 -1.429517    1.00   \n",
-       "47802  -0.248502  0.126550  0.104166 -1.055997 -1.200165 -1.012066   88.00   \n",
+       "              V7        V8        V9  ...       V21       V22       V23  \\\n",
+       "248971 -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+       "30314  -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+       "197586  4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+       "57615  -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+       "219892  0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+       "263080  1.132791 -0.574214  0.128904  ...  0.163739  0.703910 -0.245076   \n",
+       "147605  0.232463  0.107941 -1.143646  ...  0.015255  0.239994 -0.111916   \n",
+       "157871 -3.657946  1.944906 -0.788388  ...  0.800538  0.364617  0.233608   \n",
+       "48094  -2.564182  0.204532 -1.611155  ...  0.490183  0.470427 -0.126261   \n",
+       "151103 -0.743358  0.699136  1.008471  ...  0.010865  0.548258  0.091218   \n",
        "\n",
-       "        Class  \n",
-       "192687      1  \n",
-       "59539       1  \n",
-       "128479      1  \n",
-       "43204       1  \n",
-       "42741       1  \n",
-       "218442      1  \n",
-       "261925      1  \n",
-       "213092      1  \n",
-       "12369       1  \n",
-       "47802       1  \n",
+       "             V24       V25       V26       V27       V28  Amount  Class  \n",
+       "248971  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+       "30314   0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+       "197586 -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+       "57615   0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+       "219892  0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+       "263080  0.460049  0.920281 -0.216586 -0.026219 -0.025001    1.00      1  \n",
+       "147605 -0.380576  0.370995  0.189117 -0.005823 -0.012105    9.21      1  \n",
+       "157871 -0.282078 -0.320311  0.492920  0.359976 -0.115471   80.22      1  \n",
+       "48094  -0.126644 -0.661908 -0.349793  0.454851  0.137843   24.90      1  \n",
+       "151103 -1.007959 -0.082183  0.179709  0.007738 -0.068841   33.76      1  \n",
        "\n",
        "[10 rows x 31 columns]"
       ]
@@ -1737,242 +1727,242 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <td>0</td>\n",
-       "      <td>43006.0</td>\n",
-       "      <td>1.137622</td>\n",
-       "      <td>0.174313</td>\n",
-       "      <td>0.404251</td>\n",
-       "      <td>1.087450</td>\n",
-       "      <td>-0.247634</td>\n",
-       "      <td>-0.417979</td>\n",
-       "      <td>0.041166</td>\n",
-       "      <td>-0.033588</td>\n",
-       "      <td>0.105511</td>\n",
+       "      <td>150362.0</td>\n",
+       "      <td>2.047890</td>\n",
+       "      <td>0.111725</td>\n",
+       "      <td>-1.803352</td>\n",
+       "      <td>0.231603</td>\n",
+       "      <td>0.640195</td>\n",
+       "      <td>-0.379255</td>\n",
+       "      <td>0.099140</td>\n",
+       "      <td>-0.087327</td>\n",
+       "      <td>0.211342</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.014668</td>\n",
-       "      <td>-0.060018</td>\n",
-       "      <td>-0.009794</td>\n",
-       "      <td>0.053553</td>\n",
-       "      <td>0.447414</td>\n",
-       "      <td>-0.410587</td>\n",
-       "      <td>0.031298</td>\n",
-       "      <td>0.026130</td>\n",
-       "      <td>31.31</td>\n",
+       "      <td>-0.327468</td>\n",
+       "      <td>-0.864908</td>\n",
+       "      <td>0.284974</td>\n",
+       "      <td>0.193684</td>\n",
+       "      <td>-0.240132</td>\n",
+       "      <td>0.171304</td>\n",
+       "      <td>-0.065565</td>\n",
+       "      <td>-0.042547</td>\n",
+       "      <td>4.49</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>1</td>\n",
-       "      <td>165059.0</td>\n",
-       "      <td>1.954320</td>\n",
-       "      <td>-0.601255</td>\n",
-       "      <td>-0.336373</td>\n",
-       "      <td>0.318712</td>\n",
-       "      <td>-0.726208</td>\n",
-       "      <td>-0.037220</td>\n",
-       "      <td>-0.849702</td>\n",
-       "      <td>0.196205</td>\n",
-       "      <td>1.196176</td>\n",
+       "      <td>106173.0</td>\n",
+       "      <td>-0.609409</td>\n",
+       "      <td>0.717388</td>\n",
+       "      <td>2.235283</td>\n",
+       "      <td>-0.154805</td>\n",
+       "      <td>-0.330174</td>\n",
+       "      <td>-0.126641</td>\n",
+       "      <td>0.127604</td>\n",
+       "      <td>0.224505</td>\n",
+       "      <td>1.489330</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.185757</td>\n",
-       "      <td>0.675356</td>\n",
-       "      <td>0.130278</td>\n",
-       "      <td>-0.367591</td>\n",
-       "      <td>-0.321441</td>\n",
-       "      <td>0.578047</td>\n",
-       "      <td>-0.027790</td>\n",
-       "      <td>-0.062811</td>\n",
-       "      <td>11.50</td>\n",
+       "      <td>-0.229486</td>\n",
+       "      <td>-0.541650</td>\n",
+       "      <td>-0.224648</td>\n",
+       "      <td>-0.098500</td>\n",
+       "      <td>0.161573</td>\n",
+       "      <td>-0.716275</td>\n",
+       "      <td>0.061937</td>\n",
+       "      <td>0.061947</td>\n",
+       "      <td>11.27</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>2</td>\n",
-       "      <td>124873.0</td>\n",
-       "      <td>1.993000</td>\n",
-       "      <td>0.105581</td>\n",
-       "      <td>-1.478922</td>\n",
-       "      <td>0.656160</td>\n",
-       "      <td>0.049561</td>\n",
-       "      <td>-1.133651</td>\n",
-       "      <td>0.093379</td>\n",
-       "      <td>-0.131271</td>\n",
-       "      <td>0.371934</td>\n",
+       "      <td>40718.0</td>\n",
+       "      <td>-0.736405</td>\n",
+       "      <td>0.990598</td>\n",
+       "      <td>-0.269066</td>\n",
+       "      <td>-0.244532</td>\n",
+       "      <td>1.935546</td>\n",
+       "      <td>3.675422</td>\n",
+       "      <td>-0.570128</td>\n",
+       "      <td>1.416500</td>\n",
+       "      <td>-0.460843</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.304203</td>\n",
-       "      <td>-0.822471</td>\n",
-       "      <td>0.324402</td>\n",
-       "      <td>-0.069119</td>\n",
-       "      <td>-0.339543</td>\n",
-       "      <td>-0.004205</td>\n",
-       "      <td>-0.053316</td>\n",
-       "      <td>-0.041599</td>\n",
-       "      <td>2.50</td>\n",
+       "      <td>0.070098</td>\n",
+       "      <td>0.044671</td>\n",
+       "      <td>-0.079959</td>\n",
+       "      <td>0.990600</td>\n",
+       "      <td>0.192730</td>\n",
+       "      <td>-0.298879</td>\n",
+       "      <td>0.084325</td>\n",
+       "      <td>0.031085</td>\n",
+       "      <td>9.82</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>3</td>\n",
-       "      <td>127105.0</td>\n",
-       "      <td>-0.479911</td>\n",
-       "      <td>-0.972557</td>\n",
-       "      <td>-0.390000</td>\n",
-       "      <td>-0.946455</td>\n",
-       "      <td>-1.269423</td>\n",
-       "      <td>-0.266654</td>\n",
-       "      <td>2.122984</td>\n",
-       "      <td>-0.428420</td>\n",
-       "      <td>-1.204221</td>\n",
+       "      <td>136388.0</td>\n",
+       "      <td>1.418723</td>\n",
+       "      <td>-1.194791</td>\n",
+       "      <td>-1.984672</td>\n",
+       "      <td>0.133039</td>\n",
+       "      <td>0.829466</td>\n",
+       "      <td>1.479689</td>\n",
+       "      <td>0.149591</td>\n",
+       "      <td>0.312983</td>\n",
+       "      <td>0.366906</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.297067</td>\n",
-       "      <td>0.698181</td>\n",
-       "      <td>0.816703</td>\n",
-       "      <td>-0.056342</td>\n",
-       "      <td>0.140769</td>\n",
-       "      <td>-0.105647</td>\n",
-       "      <td>-0.063932</td>\n",
-       "      <td>0.073933</td>\n",
-       "      <td>453.50</td>\n",
+       "      <td>-0.005464</td>\n",
+       "      <td>-0.448810</td>\n",
+       "      <td>0.067461</td>\n",
+       "      <td>-0.926179</td>\n",
+       "      <td>-0.439742</td>\n",
+       "      <td>0.329470</td>\n",
+       "      <td>-0.087281</td>\n",
+       "      <td>-0.036939</td>\n",
+       "      <td>278.00</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>4</td>\n",
-       "      <td>124002.0</td>\n",
-       "      <td>1.965279</td>\n",
-       "      <td>-1.749666</td>\n",
-       "      <td>-0.846317</td>\n",
-       "      <td>-2.779776</td>\n",
-       "      <td>-1.235533</td>\n",
-       "      <td>-0.150039</td>\n",
-       "      <td>-1.094504</td>\n",
-       "      <td>-0.075989</td>\n",
-       "      <td>1.674848</td>\n",
+       "      <td>53018.0</td>\n",
+       "      <td>1.089579</td>\n",
+       "      <td>0.092248</td>\n",
+       "      <td>0.352815</td>\n",
+       "      <td>1.047891</td>\n",
+       "      <td>-0.026522</td>\n",
+       "      <td>0.354925</td>\n",
+       "      <td>-0.205202</td>\n",
+       "      <td>0.295345</td>\n",
+       "      <td>-0.088671</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.220130</td>\n",
-       "      <td>-0.117468</td>\n",
-       "      <td>0.100612</td>\n",
-       "      <td>0.036531</td>\n",
-       "      <td>-0.208024</td>\n",
-       "      <td>-0.915857</td>\n",
-       "      <td>0.105922</td>\n",
-       "      <td>0.003541</td>\n",
-       "      <td>136.69</td>\n",
+       "      <td>0.167600</td>\n",
+       "      <td>0.490186</td>\n",
+       "      <td>-0.052174</td>\n",
+       "      <td>-0.317793</td>\n",
+       "      <td>0.450076</td>\n",
+       "      <td>-0.235067</td>\n",
+       "      <td>0.038077</td>\n",
+       "      <td>0.003460</td>\n",
+       "      <td>10.98</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>5</td>\n",
-       "      <td>128041.0</td>\n",
-       "      <td>2.129589</td>\n",
-       "      <td>-0.740330</td>\n",
-       "      <td>-1.256627</td>\n",
-       "      <td>-0.640444</td>\n",
-       "      <td>-0.693516</td>\n",
-       "      <td>-0.687919</td>\n",
-       "      <td>-0.961282</td>\n",
-       "      <td>-0.046848</td>\n",
-       "      <td>0.142140</td>\n",
+       "      <td>69935.0</td>\n",
+       "      <td>-0.299013</td>\n",
+       "      <td>1.209783</td>\n",
+       "      <td>0.841016</td>\n",
+       "      <td>1.082661</td>\n",
+       "      <td>-0.467808</td>\n",
+       "      <td>-1.046840</td>\n",
+       "      <td>0.340720</td>\n",
+       "      <td>0.261113</td>\n",
+       "      <td>-0.661789</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.230416</td>\n",
-       "      <td>0.667023</td>\n",
-       "      <td>0.131008</td>\n",
-       "      <td>0.618278</td>\n",
-       "      <td>-0.148570</td>\n",
-       "      <td>-0.120337</td>\n",
-       "      <td>0.018068</td>\n",
-       "      <td>-0.004009</td>\n",
-       "      <td>29.95</td>\n",
+       "      <td>0.191102</td>\n",
+       "      <td>0.449185</td>\n",
+       "      <td>-0.009516</td>\n",
+       "      <td>0.711352</td>\n",
+       "      <td>-0.190425</td>\n",
+       "      <td>-0.346857</td>\n",
+       "      <td>-0.046034</td>\n",
+       "      <td>-0.015688</td>\n",
+       "      <td>9.95</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>6</td>\n",
-       "      <td>162363.0</td>\n",
-       "      <td>2.089685</td>\n",
-       "      <td>0.081443</td>\n",
-       "      <td>-2.190706</td>\n",
-       "      <td>-0.150552</td>\n",
-       "      <td>0.736869</td>\n",
-       "      <td>-1.105564</td>\n",
-       "      <td>0.676433</td>\n",
-       "      <td>-0.394297</td>\n",
-       "      <td>-0.098715</td>\n",
+       "      <td>80021.0</td>\n",
+       "      <td>1.006704</td>\n",
+       "      <td>-1.956536</td>\n",
+       "      <td>-0.147116</td>\n",
+       "      <td>-1.607973</td>\n",
+       "      <td>-1.070065</td>\n",
+       "      <td>0.744347</td>\n",
+       "      <td>-0.939571</td>\n",
+       "      <td>0.127666</td>\n",
+       "      <td>-1.939991</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.200808</td>\n",
-       "      <td>0.653204</td>\n",
-       "      <td>-0.019816</td>\n",
-       "      <td>0.827394</td>\n",
-       "      <td>0.427329</td>\n",
-       "      <td>0.183495</td>\n",
-       "      <td>-0.094322</td>\n",
-       "      <td>-0.080474</td>\n",
-       "      <td>7.70</td>\n",
+       "      <td>-0.220474</td>\n",
+       "      <td>-0.871544</td>\n",
+       "      <td>-0.202300</td>\n",
+       "      <td>-1.386973</td>\n",
+       "      <td>0.113591</td>\n",
+       "      <td>-0.341077</td>\n",
+       "      <td>0.004568</td>\n",
+       "      <td>0.047912</td>\n",
+       "      <td>274.65</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>7</td>\n",
-       "      <td>66491.0</td>\n",
-       "      <td>1.038279</td>\n",
-       "      <td>-0.130291</td>\n",
-       "      <td>1.033925</td>\n",
-       "      <td>1.655057</td>\n",
-       "      <td>-0.744910</td>\n",
-       "      <td>0.105462</td>\n",
-       "      <td>-0.344991</td>\n",
-       "      <td>0.150649</td>\n",
-       "      <td>0.861917</td>\n",
+       "      <td>68715.0</td>\n",
+       "      <td>-0.003142</td>\n",
+       "      <td>0.554451</td>\n",
+       "      <td>0.579676</td>\n",
+       "      <td>-0.649503</td>\n",
+       "      <td>-0.154081</td>\n",
+       "      <td>-1.373667</td>\n",
+       "      <td>0.822429</td>\n",
+       "      <td>-1.263275</td>\n",
+       "      <td>-0.565856</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.047036</td>\n",
-       "      <td>0.163616</td>\n",
-       "      <td>-0.055206</td>\n",
-       "      <td>0.434549</td>\n",
-       "      <td>0.555950</td>\n",
-       "      <td>-0.281158</td>\n",
-       "      <td>0.067173</td>\n",
-       "      <td>0.030920</td>\n",
-       "      <td>38.00</td>\n",
+       "      <td>0.789704</td>\n",
+       "      <td>-0.346732</td>\n",
+       "      <td>-0.182952</td>\n",
+       "      <td>0.803824</td>\n",
+       "      <td>1.052239</td>\n",
+       "      <td>0.977560</td>\n",
+       "      <td>-0.011204</td>\n",
+       "      <td>0.184979</td>\n",
+       "      <td>79.00</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>8</td>\n",
-       "      <td>148343.0</td>\n",
-       "      <td>2.157284</td>\n",
-       "      <td>-0.889160</td>\n",
-       "      <td>-0.933233</td>\n",
-       "      <td>-1.066889</td>\n",
-       "      <td>-0.725819</td>\n",
-       "      <td>-0.624452</td>\n",
-       "      <td>-0.727242</td>\n",
-       "      <td>-0.038927</td>\n",
-       "      <td>-0.369495</td>\n",
+       "      <td>2500.0</td>\n",
+       "      <td>-0.545070</td>\n",
+       "      <td>0.900823</td>\n",
+       "      <td>1.174433</td>\n",
+       "      <td>-0.148957</td>\n",
+       "      <td>0.876214</td>\n",
+       "      <td>1.035892</td>\n",
+       "      <td>0.354843</td>\n",
+       "      <td>0.526486</td>\n",
+       "      <td>-0.417472</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.242153</td>\n",
-       "      <td>-0.870052</td>\n",
-       "      <td>0.420634</td>\n",
-       "      <td>-0.582597</td>\n",
-       "      <td>-0.561018</td>\n",
-       "      <td>-0.676131</td>\n",
-       "      <td>-0.025561</td>\n",
-       "      <td>-0.059520</td>\n",
-       "      <td>20.95</td>\n",
+       "      <td>-0.142364</td>\n",
+       "      <td>-0.191616</td>\n",
+       "      <td>0.113528</td>\n",
+       "      <td>-1.017679</td>\n",
+       "      <td>-0.472212</td>\n",
+       "      <td>0.200674</td>\n",
+       "      <td>0.316876</td>\n",
+       "      <td>0.084066</td>\n",
+       "      <td>1.79</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>9</td>\n",
-       "      <td>161509.0</td>\n",
-       "      <td>-0.442574</td>\n",
-       "      <td>1.200402</td>\n",
-       "      <td>-0.120958</td>\n",
-       "      <td>-0.535542</td>\n",
-       "      <td>1.456946</td>\n",
-       "      <td>-1.287098</td>\n",
-       "      <td>2.037456</td>\n",
-       "      <td>-0.419745</td>\n",
-       "      <td>-0.995552</td>\n",
+       "      <td>50502.0</td>\n",
+       "      <td>1.189319</td>\n",
+       "      <td>0.147631</td>\n",
+       "      <td>0.394972</td>\n",
+       "      <td>1.162492</td>\n",
+       "      <td>-0.515779</td>\n",
+       "      <td>-0.884459</td>\n",
+       "      <td>0.028185</td>\n",
+       "      <td>-0.129993</td>\n",
+       "      <td>0.271782</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.264501</td>\n",
-       "      <td>0.651615</td>\n",
-       "      <td>-0.221086</td>\n",
-       "      <td>1.138757</td>\n",
-       "      <td>0.290194</td>\n",
-       "      <td>-0.809409</td>\n",
-       "      <td>0.093909</td>\n",
-       "      <td>0.171767</td>\n",
-       "      <td>37.95</td>\n",
+       "      <td>0.116994</td>\n",
+       "      <td>0.298632</td>\n",
+       "      <td>-0.142350</td>\n",
+       "      <td>0.380587</td>\n",
+       "      <td>0.655436</td>\n",
+       "      <td>-0.251230</td>\n",
+       "      <td>0.011096</td>\n",
+       "      <td>0.023765</td>\n",
+       "      <td>27.30</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1982,40 +1972,40 @@
       ],
       "text/plain": [
        "       Time        V1        V2        V3        V4        V5        V6  \\\n",
-       "0   43006.0  1.137622  0.174313  0.404251  1.087450 -0.247634 -0.417979   \n",
-       "1  165059.0  1.954320 -0.601255 -0.336373  0.318712 -0.726208 -0.037220   \n",
-       "2  124873.0  1.993000  0.105581 -1.478922  0.656160  0.049561 -1.133651   \n",
-       "3  127105.0 -0.479911 -0.972557 -0.390000 -0.946455 -1.269423 -0.266654   \n",
-       "4  124002.0  1.965279 -1.749666 -0.846317 -2.779776 -1.235533 -0.150039   \n",
-       "5  128041.0  2.129589 -0.740330 -1.256627 -0.640444 -0.693516 -0.687919   \n",
-       "6  162363.0  2.089685  0.081443 -2.190706 -0.150552  0.736869 -1.105564   \n",
-       "7   66491.0  1.038279 -0.130291  1.033925  1.655057 -0.744910  0.105462   \n",
-       "8  148343.0  2.157284 -0.889160 -0.933233 -1.066889 -0.725819 -0.624452   \n",
-       "9  161509.0 -0.442574  1.200402 -0.120958 -0.535542  1.456946 -1.287098   \n",
+       "0  150362.0  2.047890  0.111725 -1.803352  0.231603  0.640195 -0.379255   \n",
+       "1  106173.0 -0.609409  0.717388  2.235283 -0.154805 -0.330174 -0.126641   \n",
+       "2   40718.0 -0.736405  0.990598 -0.269066 -0.244532  1.935546  3.675422   \n",
+       "3  136388.0  1.418723 -1.194791 -1.984672  0.133039  0.829466  1.479689   \n",
+       "4   53018.0  1.089579  0.092248  0.352815  1.047891 -0.026522  0.354925   \n",
+       "5   69935.0 -0.299013  1.209783  0.841016  1.082661 -0.467808 -1.046840   \n",
+       "6   80021.0  1.006704 -1.956536 -0.147116 -1.607973 -1.070065  0.744347   \n",
+       "7   68715.0 -0.003142  0.554451  0.579676 -0.649503 -0.154081 -1.373667   \n",
+       "8    2500.0 -0.545070  0.900823  1.174433 -0.148957  0.876214  1.035892   \n",
+       "9   50502.0  1.189319  0.147631  0.394972  1.162492 -0.515779 -0.884459   \n",
        "\n",
        "         V7        V8        V9  ...       V21       V22       V23       V24  \\\n",
-       "0  0.041166 -0.033588  0.105511  ... -0.014668 -0.060018 -0.009794  0.053553   \n",
-       "1 -0.849702  0.196205  1.196176  ...  0.185757  0.675356  0.130278 -0.367591   \n",
-       "2  0.093379 -0.131271  0.371934  ... -0.304203 -0.822471  0.324402 -0.069119   \n",
-       "3  2.122984 -0.428420 -1.204221  ...  0.297067  0.698181  0.816703 -0.056342   \n",
-       "4 -1.094504 -0.075989  1.674848  ... -0.220130 -0.117468  0.100612  0.036531   \n",
-       "5 -0.961282 -0.046848  0.142140  ...  0.230416  0.667023  0.131008  0.618278   \n",
-       "6  0.676433 -0.394297 -0.098715  ...  0.200808  0.653204 -0.019816  0.827394   \n",
-       "7 -0.344991  0.150649  0.861917  ... -0.047036  0.163616 -0.055206  0.434549   \n",
-       "8 -0.727242 -0.038927 -0.369495  ... -0.242153 -0.870052  0.420634 -0.582597   \n",
-       "9  2.037456 -0.419745 -0.995552  ...  0.264501  0.651615 -0.221086  1.138757   \n",
+       "0  0.099140 -0.087327  0.211342  ... -0.327468 -0.864908  0.284974  0.193684   \n",
+       "1  0.127604  0.224505  1.489330  ... -0.229486 -0.541650 -0.224648 -0.098500   \n",
+       "2 -0.570128  1.416500 -0.460843  ...  0.070098  0.044671 -0.079959  0.990600   \n",
+       "3  0.149591  0.312983  0.366906  ... -0.005464 -0.448810  0.067461 -0.926179   \n",
+       "4 -0.205202  0.295345 -0.088671  ...  0.167600  0.490186 -0.052174 -0.317793   \n",
+       "5  0.340720  0.261113 -0.661789  ...  0.191102  0.449185 -0.009516  0.711352   \n",
+       "6 -0.939571  0.127666 -1.939991  ... -0.220474 -0.871544 -0.202300 -1.386973   \n",
+       "7  0.822429 -1.263275 -0.565856  ...  0.789704 -0.346732 -0.182952  0.803824   \n",
+       "8  0.354843  0.526486 -0.417472  ... -0.142364 -0.191616  0.113528 -1.017679   \n",
+       "9  0.028185 -0.129993  0.271782  ...  0.116994  0.298632 -0.142350  0.380587   \n",
        "\n",
        "        V25       V26       V27       V28  Amount  Class  \n",
-       "0  0.447414 -0.410587  0.031298  0.026130   31.31      0  \n",
-       "1 -0.321441  0.578047 -0.027790 -0.062811   11.50      0  \n",
-       "2 -0.339543 -0.004205 -0.053316 -0.041599    2.50      0  \n",
-       "3  0.140769 -0.105647 -0.063932  0.073933  453.50      0  \n",
-       "4 -0.208024 -0.915857  0.105922  0.003541  136.69      0  \n",
-       "5 -0.148570 -0.120337  0.018068 -0.004009   29.95      0  \n",
-       "6  0.427329  0.183495 -0.094322 -0.080474    7.70      0  \n",
-       "7  0.555950 -0.281158  0.067173  0.030920   38.00      0  \n",
-       "8 -0.561018 -0.676131 -0.025561 -0.059520   20.95      0  \n",
-       "9  0.290194 -0.809409  0.093909  0.171767   37.95      0  \n",
+       "0 -0.240132  0.171304 -0.065565 -0.042547    4.49      0  \n",
+       "1  0.161573 -0.716275  0.061937  0.061947   11.27      0  \n",
+       "2  0.192730 -0.298879  0.084325  0.031085    9.82      0  \n",
+       "3 -0.439742  0.329470 -0.087281 -0.036939  278.00      0  \n",
+       "4  0.450076 -0.235067  0.038077  0.003460   10.98      0  \n",
+       "5 -0.190425 -0.346857 -0.046034 -0.015688    9.95      0  \n",
+       "6  0.113591 -0.341077  0.004568  0.047912  274.65      0  \n",
+       "7  1.052239  0.977560 -0.011204  0.184979   79.00      0  \n",
+       "8 -0.472212  0.200674  0.316876  0.084066    1.79      0  \n",
+       "9  0.655436 -0.251230  0.011096  0.023765   27.30      0  \n",
        "\n",
        "[10 rows x 31 columns]"
       ]
@@ -2081,242 +2071,242 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <td>0</td>\n",
-       "      <td>129808.0</td>\n",
-       "      <td>1.522080</td>\n",
-       "      <td>-0.519429</td>\n",
-       "      <td>-2.581685</td>\n",
-       "      <td>0.774741</td>\n",
-       "      <td>0.206722</td>\n",
-       "      <td>-1.431020</td>\n",
-       "      <td>0.757011</td>\n",
-       "      <td>-0.444418</td>\n",
-       "      <td>0.997921</td>\n",
+       "      <td>154181.0</td>\n",
+       "      <td>-0.549615</td>\n",
+       "      <td>2.219075</td>\n",
+       "      <td>-3.522024</td>\n",
+       "      <td>0.236995</td>\n",
+       "      <td>1.087469</td>\n",
+       "      <td>-1.235530</td>\n",
+       "      <td>-0.279313</td>\n",
+       "      <td>0.514361</td>\n",
+       "      <td>-1.849927</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.019649</td>\n",
-       "      <td>-0.211678</td>\n",
-       "      <td>-0.247452</td>\n",
-       "      <td>-0.279472</td>\n",
-       "      <td>0.239646</td>\n",
-       "      <td>-0.508398</td>\n",
-       "      <td>-0.015551</td>\n",
-       "      <td>0.041881</td>\n",
-       "      <td>276.17</td>\n",
+       "      <td>0.364130</td>\n",
+       "      <td>0.210428</td>\n",
+       "      <td>-0.366019</td>\n",
+       "      <td>0.015803</td>\n",
+       "      <td>0.349212</td>\n",
+       "      <td>0.647302</td>\n",
+       "      <td>0.171929</td>\n",
+       "      <td>0.117188</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>1</td>\n",
-       "      <td>48884.0</td>\n",
-       "      <td>-2.139051</td>\n",
-       "      <td>1.394368</td>\n",
-       "      <td>-0.612035</td>\n",
-       "      <td>1.049327</td>\n",
-       "      <td>-1.162102</td>\n",
-       "      <td>-0.768219</td>\n",
-       "      <td>-1.997237</td>\n",
-       "      <td>0.574997</td>\n",
-       "      <td>-0.980832</td>\n",
+       "      <td>35866.0</td>\n",
+       "      <td>-2.044489</td>\n",
+       "      <td>3.368306</td>\n",
+       "      <td>-3.937111</td>\n",
+       "      <td>5.623120</td>\n",
+       "      <td>-3.079232</td>\n",
+       "      <td>-1.253474</td>\n",
+       "      <td>-5.778880</td>\n",
+       "      <td>1.707428</td>\n",
+       "      <td>-4.467103</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.696955</td>\n",
-       "      <td>0.740003</td>\n",
-       "      <td>-0.155115</td>\n",
-       "      <td>-0.050607</td>\n",
-       "      <td>0.268368</td>\n",
-       "      <td>-0.469433</td>\n",
-       "      <td>-0.405814</td>\n",
-       "      <td>-0.152171</td>\n",
-       "      <td>19.73</td>\n",
+       "      <td>1.483594</td>\n",
+       "      <td>0.834311</td>\n",
+       "      <td>-0.148486</td>\n",
+       "      <td>0.001669</td>\n",
+       "      <td>-0.038996</td>\n",
+       "      <td>0.389526</td>\n",
+       "      <td>1.300236</td>\n",
+       "      <td>0.549940</td>\n",
+       "      <td>7.61</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>2</td>\n",
-       "      <td>78725.0</td>\n",
-       "      <td>-4.312479</td>\n",
-       "      <td>1.886476</td>\n",
-       "      <td>-2.338634</td>\n",
-       "      <td>-0.475243</td>\n",
-       "      <td>-1.185444</td>\n",
-       "      <td>-2.112079</td>\n",
-       "      <td>-2.122793</td>\n",
-       "      <td>0.272565</td>\n",
-       "      <td>0.290273</td>\n",
+       "      <td>132086.0</td>\n",
+       "      <td>-0.361428</td>\n",
+       "      <td>1.133472</td>\n",
+       "      <td>-2.971360</td>\n",
+       "      <td>-0.283073</td>\n",
+       "      <td>0.371452</td>\n",
+       "      <td>-0.574680</td>\n",
+       "      <td>4.031513</td>\n",
+       "      <td>-0.934398</td>\n",
+       "      <td>-0.768255</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.550541</td>\n",
-       "      <td>-0.067870</td>\n",
-       "      <td>-1.114692</td>\n",
-       "      <td>0.269069</td>\n",
-       "      <td>-0.020572</td>\n",
-       "      <td>-0.963489</td>\n",
-       "      <td>-0.918888</td>\n",
-       "      <td>0.001454</td>\n",
-       "      <td>60.00</td>\n",
+       "      <td>0.110815</td>\n",
+       "      <td>0.563861</td>\n",
+       "      <td>-0.408436</td>\n",
+       "      <td>-0.880079</td>\n",
+       "      <td>1.408392</td>\n",
+       "      <td>-0.137402</td>\n",
+       "      <td>-0.001250</td>\n",
+       "      <td>-0.182751</td>\n",
+       "      <td>480.72</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>3</td>\n",
-       "      <td>41413.0</td>\n",
-       "      <td>-15.140450</td>\n",
-       "      <td>7.378042</td>\n",
-       "      <td>-16.356367</td>\n",
-       "      <td>9.194935</td>\n",
-       "      <td>-13.466163</td>\n",
-       "      <td>-2.958431</td>\n",
-       "      <td>-16.165539</td>\n",
-       "      <td>10.075254</td>\n",
-       "      <td>-7.901821</td>\n",
+       "      <td>47982.0</td>\n",
+       "      <td>-1.232804</td>\n",
+       "      <td>2.244119</td>\n",
+       "      <td>-1.703826</td>\n",
+       "      <td>1.492536</td>\n",
+       "      <td>-1.192985</td>\n",
+       "      <td>-1.686110</td>\n",
+       "      <td>-1.864612</td>\n",
+       "      <td>0.856122</td>\n",
+       "      <td>-1.973535</td>\n",
        "      <td>...</td>\n",
-       "      <td>3.147428</td>\n",
-       "      <td>0.341678</td>\n",
-       "      <td>-1.150162</td>\n",
-       "      <td>0.795190</td>\n",
-       "      <td>-0.194542</td>\n",
-       "      <td>0.145964</td>\n",
-       "      <td>-2.458680</td>\n",
-       "      <td>-1.189888</td>\n",
-       "      <td>106.55</td>\n",
+       "      <td>0.560475</td>\n",
+       "      <td>0.165682</td>\n",
+       "      <td>-0.013754</td>\n",
+       "      <td>0.474935</td>\n",
+       "      <td>-0.218725</td>\n",
+       "      <td>0.302809</td>\n",
+       "      <td>0.466031</td>\n",
+       "      <td>0.250134</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>4</td>\n",
-       "      <td>41227.0</td>\n",
-       "      <td>-9.001351</td>\n",
-       "      <td>6.613284</td>\n",
-       "      <td>-12.423635</td>\n",
-       "      <td>7.519929</td>\n",
-       "      <td>-10.266255</td>\n",
-       "      <td>-2.113208</td>\n",
-       "      <td>-9.984287</td>\n",
-       "      <td>5.541941</td>\n",
-       "      <td>-7.383705</td>\n",
+       "      <td>141925.0</td>\n",
+       "      <td>0.120301</td>\n",
+       "      <td>1.974141</td>\n",
+       "      <td>-0.434087</td>\n",
+       "      <td>5.390793</td>\n",
+       "      <td>1.289684</td>\n",
+       "      <td>0.280590</td>\n",
+       "      <td>0.221963</td>\n",
+       "      <td>0.067827</td>\n",
+       "      <td>-1.387054</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.775891</td>\n",
-       "      <td>-1.224758</td>\n",
-       "      <td>0.082594</td>\n",
-       "      <td>0.452089</td>\n",
-       "      <td>0.463827</td>\n",
-       "      <td>-0.296928</td>\n",
-       "      <td>0.526506</td>\n",
-       "      <td>-0.450890</td>\n",
-       "      <td>459.07</td>\n",
+       "      <td>-0.038690</td>\n",
+       "      <td>0.204554</td>\n",
+       "      <td>-0.167313</td>\n",
+       "      <td>0.791547</td>\n",
+       "      <td>-0.223675</td>\n",
+       "      <td>0.473223</td>\n",
+       "      <td>-0.160202</td>\n",
+       "      <td>0.065039</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>5</td>\n",
-       "      <td>141320.0</td>\n",
-       "      <td>-6.352337</td>\n",
-       "      <td>-2.370335</td>\n",
-       "      <td>-4.875397</td>\n",
-       "      <td>2.335045</td>\n",
-       "      <td>-0.809555</td>\n",
-       "      <td>-0.413647</td>\n",
-       "      <td>-4.082308</td>\n",
-       "      <td>2.239089</td>\n",
-       "      <td>-1.986360</td>\n",
+       "      <td>160791.0</td>\n",
+       "      <td>2.132386</td>\n",
+       "      <td>0.705608</td>\n",
+       "      <td>-3.530759</td>\n",
+       "      <td>0.514779</td>\n",
+       "      <td>1.527175</td>\n",
+       "      <td>-1.716268</td>\n",
+       "      <td>1.132791</td>\n",
+       "      <td>-0.574214</td>\n",
+       "      <td>0.128904</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.325218</td>\n",
-       "      <td>1.226745</td>\n",
-       "      <td>-1.485217</td>\n",
-       "      <td>-1.470732</td>\n",
-       "      <td>-0.240053</td>\n",
-       "      <td>0.112972</td>\n",
-       "      <td>0.910591</td>\n",
-       "      <td>-0.650944</td>\n",
-       "      <td>195.66</td>\n",
+       "      <td>0.163739</td>\n",
+       "      <td>0.703910</td>\n",
+       "      <td>-0.245076</td>\n",
+       "      <td>0.460049</td>\n",
+       "      <td>0.920281</td>\n",
+       "      <td>-0.216586</td>\n",
+       "      <td>-0.026219</td>\n",
+       "      <td>-0.025001</td>\n",
+       "      <td>1.00</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>6</td>\n",
-       "      <td>160243.0</td>\n",
-       "      <td>-2.783865</td>\n",
-       "      <td>1.596824</td>\n",
-       "      <td>-2.084844</td>\n",
-       "      <td>2.512986</td>\n",
-       "      <td>-1.446749</td>\n",
-       "      <td>-0.828496</td>\n",
-       "      <td>-0.732262</td>\n",
-       "      <td>-0.203329</td>\n",
-       "      <td>-0.347046</td>\n",
+       "      <td>88737.0</td>\n",
+       "      <td>1.917827</td>\n",
+       "      <td>0.951967</td>\n",
+       "      <td>-2.059206</td>\n",
+       "      <td>3.833998</td>\n",
+       "      <td>1.668192</td>\n",
+       "      <td>0.769826</td>\n",
+       "      <td>0.232463</td>\n",
+       "      <td>0.107941</td>\n",
+       "      <td>-1.143646</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.203563</td>\n",
-       "      <td>0.293268</td>\n",
-       "      <td>0.199568</td>\n",
-       "      <td>0.146868</td>\n",
-       "      <td>0.163602</td>\n",
-       "      <td>-0.624085</td>\n",
-       "      <td>-1.333100</td>\n",
-       "      <td>0.428634</td>\n",
-       "      <td>156.00</td>\n",
+       "      <td>0.015255</td>\n",
+       "      <td>0.239994</td>\n",
+       "      <td>-0.111916</td>\n",
+       "      <td>-0.380576</td>\n",
+       "      <td>0.370995</td>\n",
+       "      <td>0.189117</td>\n",
+       "      <td>-0.005823</td>\n",
+       "      <td>-0.012105</td>\n",
+       "      <td>9.21</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>7</td>\n",
-       "      <td>139107.0</td>\n",
-       "      <td>-4.666500</td>\n",
-       "      <td>-3.952320</td>\n",
-       "      <td>0.206094</td>\n",
-       "      <td>5.153525</td>\n",
-       "      <td>5.229469</td>\n",
-       "      <td>0.939040</td>\n",
-       "      <td>-0.635033</td>\n",
-       "      <td>-0.704506</td>\n",
-       "      <td>-0.234786</td>\n",
+       "      <td>110552.0</td>\n",
+       "      <td>-2.450367</td>\n",
+       "      <td>2.107729</td>\n",
+       "      <td>-5.140663</td>\n",
+       "      <td>1.411304</td>\n",
+       "      <td>-1.690780</td>\n",
+       "      <td>-0.736427</td>\n",
+       "      <td>-3.657946</td>\n",
+       "      <td>1.944906</td>\n",
+       "      <td>-0.788388</td>\n",
        "      <td>...</td>\n",
-       "      <td>-0.664263</td>\n",
-       "      <td>1.821422</td>\n",
-       "      <td>0.113563</td>\n",
-       "      <td>-0.759673</td>\n",
-       "      <td>-0.502304</td>\n",
-       "      <td>0.630639</td>\n",
-       "      <td>-0.513880</td>\n",
-       "      <td>0.729526</td>\n",
-       "      <td>22.47</td>\n",
+       "      <td>0.800538</td>\n",
+       "      <td>0.364617</td>\n",
+       "      <td>0.233608</td>\n",
+       "      <td>-0.282078</td>\n",
+       "      <td>-0.320311</td>\n",
+       "      <td>0.492920</td>\n",
+       "      <td>0.359976</td>\n",
+       "      <td>-0.115471</td>\n",
+       "      <td>80.22</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>8</td>\n",
-       "      <td>21662.0</td>\n",
-       "      <td>-18.018561</td>\n",
-       "      <td>10.558600</td>\n",
-       "      <td>-24.667741</td>\n",
-       "      <td>11.786180</td>\n",
-       "      <td>-10.564657</td>\n",
-       "      <td>-2.645681</td>\n",
-       "      <td>-18.023468</td>\n",
-       "      <td>2.693655</td>\n",
-       "      <td>-6.219464</td>\n",
+       "      <td>43494.0</td>\n",
+       "      <td>-1.278138</td>\n",
+       "      <td>0.716242</td>\n",
+       "      <td>-1.143279</td>\n",
+       "      <td>0.217805</td>\n",
+       "      <td>-1.293890</td>\n",
+       "      <td>-1.168952</td>\n",
+       "      <td>-2.564182</td>\n",
+       "      <td>0.204532</td>\n",
+       "      <td>-1.611155</td>\n",
        "      <td>...</td>\n",
-       "      <td>-2.319479</td>\n",
-       "      <td>0.908839</td>\n",
-       "      <td>1.352904</td>\n",
-       "      <td>-1.059222</td>\n",
-       "      <td>0.185751</td>\n",
-       "      <td>0.687037</td>\n",
-       "      <td>2.078081</td>\n",
-       "      <td>-1.429517</td>\n",
-       "      <td>1.00</td>\n",
+       "      <td>0.490183</td>\n",
+       "      <td>0.470427</td>\n",
+       "      <td>-0.126261</td>\n",
+       "      <td>-0.126644</td>\n",
+       "      <td>-0.661908</td>\n",
+       "      <td>-0.349793</td>\n",
+       "      <td>0.454851</td>\n",
+       "      <td>0.137843</td>\n",
+       "      <td>24.90</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>9</td>\n",
-       "      <td>43369.0</td>\n",
-       "      <td>-3.365319</td>\n",
-       "      <td>2.426503</td>\n",
-       "      <td>-3.752227</td>\n",
-       "      <td>0.276017</td>\n",
-       "      <td>-2.305870</td>\n",
-       "      <td>-1.961578</td>\n",
-       "      <td>-3.029283</td>\n",
-       "      <td>-1.674462</td>\n",
-       "      <td>0.183961</td>\n",
+       "      <td>94625.0</td>\n",
+       "      <td>1.707857</td>\n",
+       "      <td>0.024881</td>\n",
+       "      <td>-0.488140</td>\n",
+       "      <td>3.787548</td>\n",
+       "      <td>1.139451</td>\n",
+       "      <td>2.914673</td>\n",
+       "      <td>-0.743358</td>\n",
+       "      <td>0.699136</td>\n",
+       "      <td>1.008471</td>\n",
        "      <td>...</td>\n",
-       "      <td>2.070008</td>\n",
-       "      <td>-0.512626</td>\n",
-       "      <td>-0.248502</td>\n",
-       "      <td>0.126550</td>\n",
-       "      <td>0.104166</td>\n",
-       "      <td>-1.055997</td>\n",
-       "      <td>-1.200165</td>\n",
-       "      <td>-1.012066</td>\n",
-       "      <td>88.00</td>\n",
+       "      <td>0.010865</td>\n",
+       "      <td>0.548258</td>\n",
+       "      <td>0.091218</td>\n",
+       "      <td>-1.007959</td>\n",
+       "      <td>-0.082183</td>\n",
+       "      <td>0.179709</td>\n",
+       "      <td>0.007738</td>\n",
+       "      <td>-0.068841</td>\n",
+       "      <td>33.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2325,41 +2315,41 @@
        "</div>"
       ],
       "text/plain": [
-       "       Time         V1         V2         V3         V4         V5        V6  \\\n",
-       "0  129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722 -1.431020   \n",
-       "1   48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102 -0.768219   \n",
-       "2   78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444 -2.112079   \n",
-       "3   41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163 -2.958431   \n",
-       "4   41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255 -2.113208   \n",
-       "5  141320.0  -6.352337  -2.370335  -4.875397   2.335045  -0.809555 -0.413647   \n",
-       "6  160243.0  -2.783865   1.596824  -2.084844   2.512986  -1.446749 -0.828496   \n",
-       "7  139107.0  -4.666500  -3.952320   0.206094   5.153525   5.229469  0.939040   \n",
-       "8   21662.0 -18.018561  10.558600 -24.667741  11.786180 -10.564657 -2.645681   \n",
-       "9   43369.0  -3.365319   2.426503  -3.752227   0.276017  -2.305870 -1.961578   \n",
+       "       Time        V1        V2        V3        V4        V5        V6  \\\n",
+       "0  154181.0 -0.549615  2.219075 -3.522024  0.236995  1.087469 -1.235530   \n",
+       "1   35866.0 -2.044489  3.368306 -3.937111  5.623120 -3.079232 -1.253474   \n",
+       "2  132086.0 -0.361428  1.133472 -2.971360 -0.283073  0.371452 -0.574680   \n",
+       "3   47982.0 -1.232804  2.244119 -1.703826  1.492536 -1.192985 -1.686110   \n",
+       "4  141925.0  0.120301  1.974141 -0.434087  5.390793  1.289684  0.280590   \n",
+       "5  160791.0  2.132386  0.705608 -3.530759  0.514779  1.527175 -1.716268   \n",
+       "6   88737.0  1.917827  0.951967 -2.059206  3.833998  1.668192  0.769826   \n",
+       "7  110552.0 -2.450367  2.107729 -5.140663  1.411304 -1.690780 -0.736427   \n",
+       "8   43494.0 -1.278138  0.716242 -1.143279  0.217805 -1.293890 -1.168952   \n",
+       "9   94625.0  1.707857  0.024881 -0.488140  3.787548  1.139451  2.914673   \n",
        "\n",
-       "          V7         V8        V9  ...       V21       V22       V23  \\\n",
-       "0   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678 -0.247452   \n",
-       "1  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003 -0.155115   \n",
-       "2  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870 -1.114692   \n",
-       "3 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678 -1.150162   \n",
-       "4  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758  0.082594   \n",
-       "5  -4.082308   2.239089 -1.986360  ...  1.325218  1.226745 -1.485217   \n",
-       "6  -0.732262  -0.203329 -0.347046  ...  0.203563  0.293268  0.199568   \n",
-       "7  -0.635033  -0.704506 -0.234786  ... -0.664263  1.821422  0.113563   \n",
-       "8 -18.023468   2.693655 -6.219464  ... -2.319479  0.908839  1.352904   \n",
-       "9  -3.029283  -1.674462  0.183961  ...  2.070008 -0.512626 -0.248502   \n",
+       "         V7        V8        V9  ...       V21       V22       V23       V24  \\\n",
+       "0 -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019  0.015803   \n",
+       "1 -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486  0.001669   \n",
+       "2  4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436 -0.880079   \n",
+       "3 -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754  0.474935   \n",
+       "4  0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313  0.791547   \n",
+       "5  1.132791 -0.574214  0.128904  ...  0.163739  0.703910 -0.245076  0.460049   \n",
+       "6  0.232463  0.107941 -1.143646  ...  0.015255  0.239994 -0.111916 -0.380576   \n",
+       "7 -3.657946  1.944906 -0.788388  ...  0.800538  0.364617  0.233608 -0.282078   \n",
+       "8 -2.564182  0.204532 -1.611155  ...  0.490183  0.470427 -0.126261 -0.126644   \n",
+       "9 -0.743358  0.699136  1.008471  ...  0.010865  0.548258  0.091218 -1.007959   \n",
        "\n",
-       "        V24       V25       V26       V27       V28  Amount  Class  \n",
-       "0 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-       "1 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-       "2  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-       "3  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-       "4  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-       "5 -1.470732 -0.240053  0.112972  0.910591 -0.650944  195.66      1  \n",
-       "6  0.146868  0.163602 -0.624085 -1.333100  0.428634  156.00      1  \n",
-       "7 -0.759673 -0.502304  0.630639 -0.513880  0.729526   22.47      1  \n",
-       "8 -1.059222  0.185751  0.687037  2.078081 -1.429517    1.00      1  \n",
-       "9  0.126550  0.104166 -1.055997 -1.200165 -1.012066   88.00      1  \n",
+       "        V25       V26       V27       V28  Amount  Class  \n",
+       "0  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+       "1 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+       "2  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+       "3 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+       "4 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+       "5  0.920281 -0.216586 -0.026219 -0.025001    1.00      1  \n",
+       "6  0.370995  0.189117 -0.005823 -0.012105    9.21      1  \n",
+       "7 -0.320311  0.492920  0.359976 -0.115471   80.22      1  \n",
+       "8 -0.661908 -0.349793  0.454851  0.137843   24.90      1  \n",
+       "9 -0.082183  0.179709  0.007738 -0.068841   33.76      1  \n",
        "\n",
        "[10 rows x 31 columns]"
       ]
@@ -2490,122 +2480,122 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <td>0</td>\n",
-       "      <td>129808.0</td>\n",
-       "      <td>1.522080</td>\n",
-       "      <td>-0.519429</td>\n",
-       "      <td>-2.581685</td>\n",
-       "      <td>0.774741</td>\n",
-       "      <td>0.206722</td>\n",
-       "      <td>-1.431020</td>\n",
-       "      <td>0.757011</td>\n",
-       "      <td>-0.444418</td>\n",
-       "      <td>0.997921</td>\n",
+       "      <td>154181.0</td>\n",
+       "      <td>-0.549615</td>\n",
+       "      <td>2.219075</td>\n",
+       "      <td>-3.522024</td>\n",
+       "      <td>0.236995</td>\n",
+       "      <td>1.087469</td>\n",
+       "      <td>-1.235530</td>\n",
+       "      <td>-0.279313</td>\n",
+       "      <td>0.514361</td>\n",
+       "      <td>-1.849927</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.019649</td>\n",
-       "      <td>-0.211678</td>\n",
-       "      <td>-0.247452</td>\n",
-       "      <td>-0.279472</td>\n",
-       "      <td>0.239646</td>\n",
-       "      <td>-0.508398</td>\n",
-       "      <td>-0.015551</td>\n",
-       "      <td>0.041881</td>\n",
-       "      <td>276.17</td>\n",
+       "      <td>0.364130</td>\n",
+       "      <td>0.210428</td>\n",
+       "      <td>-0.366019</td>\n",
+       "      <td>0.015803</td>\n",
+       "      <td>0.349212</td>\n",
+       "      <td>0.647302</td>\n",
+       "      <td>0.171929</td>\n",
+       "      <td>0.117188</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>1</td>\n",
-       "      <td>48884.0</td>\n",
-       "      <td>-2.139051</td>\n",
-       "      <td>1.394368</td>\n",
-       "      <td>-0.612035</td>\n",
-       "      <td>1.049327</td>\n",
-       "      <td>-1.162102</td>\n",
-       "      <td>-0.768219</td>\n",
-       "      <td>-1.997237</td>\n",
-       "      <td>0.574997</td>\n",
-       "      <td>-0.980832</td>\n",
+       "      <td>35866.0</td>\n",
+       "      <td>-2.044489</td>\n",
+       "      <td>3.368306</td>\n",
+       "      <td>-3.937111</td>\n",
+       "      <td>5.623120</td>\n",
+       "      <td>-3.079232</td>\n",
+       "      <td>-1.253474</td>\n",
+       "      <td>-5.778880</td>\n",
+       "      <td>1.707428</td>\n",
+       "      <td>-4.467103</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.696955</td>\n",
-       "      <td>0.740003</td>\n",
-       "      <td>-0.155115</td>\n",
-       "      <td>-0.050607</td>\n",
-       "      <td>0.268368</td>\n",
-       "      <td>-0.469433</td>\n",
-       "      <td>-0.405814</td>\n",
-       "      <td>-0.152171</td>\n",
-       "      <td>19.73</td>\n",
+       "      <td>1.483594</td>\n",
+       "      <td>0.834311</td>\n",
+       "      <td>-0.148486</td>\n",
+       "      <td>0.001669</td>\n",
+       "      <td>-0.038996</td>\n",
+       "      <td>0.389526</td>\n",
+       "      <td>1.300236</td>\n",
+       "      <td>0.549940</td>\n",
+       "      <td>7.61</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>2</td>\n",
-       "      <td>78725.0</td>\n",
-       "      <td>-4.312479</td>\n",
-       "      <td>1.886476</td>\n",
-       "      <td>-2.338634</td>\n",
-       "      <td>-0.475243</td>\n",
-       "      <td>-1.185444</td>\n",
-       "      <td>-2.112079</td>\n",
-       "      <td>-2.122793</td>\n",
-       "      <td>0.272565</td>\n",
-       "      <td>0.290273</td>\n",
+       "      <td>132086.0</td>\n",
+       "      <td>-0.361428</td>\n",
+       "      <td>1.133472</td>\n",
+       "      <td>-2.971360</td>\n",
+       "      <td>-0.283073</td>\n",
+       "      <td>0.371452</td>\n",
+       "      <td>-0.574680</td>\n",
+       "      <td>4.031513</td>\n",
+       "      <td>-0.934398</td>\n",
+       "      <td>-0.768255</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.550541</td>\n",
-       "      <td>-0.067870</td>\n",
-       "      <td>-1.114692</td>\n",
-       "      <td>0.269069</td>\n",
-       "      <td>-0.020572</td>\n",
-       "      <td>-0.963489</td>\n",
-       "      <td>-0.918888</td>\n",
-       "      <td>0.001454</td>\n",
-       "      <td>60.00</td>\n",
+       "      <td>0.110815</td>\n",
+       "      <td>0.563861</td>\n",
+       "      <td>-0.408436</td>\n",
+       "      <td>-0.880079</td>\n",
+       "      <td>1.408392</td>\n",
+       "      <td>-0.137402</td>\n",
+       "      <td>-0.001250</td>\n",
+       "      <td>-0.182751</td>\n",
+       "      <td>480.72</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>3</td>\n",
-       "      <td>41413.0</td>\n",
-       "      <td>-15.140450</td>\n",
-       "      <td>7.378042</td>\n",
-       "      <td>-16.356367</td>\n",
-       "      <td>9.194935</td>\n",
-       "      <td>-13.466163</td>\n",
-       "      <td>-2.958431</td>\n",
-       "      <td>-16.165539</td>\n",
-       "      <td>10.075254</td>\n",
-       "      <td>-7.901821</td>\n",
+       "      <td>47982.0</td>\n",
+       "      <td>-1.232804</td>\n",
+       "      <td>2.244119</td>\n",
+       "      <td>-1.703826</td>\n",
+       "      <td>1.492536</td>\n",
+       "      <td>-1.192985</td>\n",
+       "      <td>-1.686110</td>\n",
+       "      <td>-1.864612</td>\n",
+       "      <td>0.856122</td>\n",
+       "      <td>-1.973535</td>\n",
        "      <td>...</td>\n",
-       "      <td>3.147428</td>\n",
-       "      <td>0.341678</td>\n",
-       "      <td>-1.150162</td>\n",
-       "      <td>0.795190</td>\n",
-       "      <td>-0.194542</td>\n",
-       "      <td>0.145964</td>\n",
-       "      <td>-2.458680</td>\n",
-       "      <td>-1.189888</td>\n",
-       "      <td>106.55</td>\n",
+       "      <td>0.560475</td>\n",
+       "      <td>0.165682</td>\n",
+       "      <td>-0.013754</td>\n",
+       "      <td>0.474935</td>\n",
+       "      <td>-0.218725</td>\n",
+       "      <td>0.302809</td>\n",
+       "      <td>0.466031</td>\n",
+       "      <td>0.250134</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>4</td>\n",
-       "      <td>41227.0</td>\n",
-       "      <td>-9.001351</td>\n",
-       "      <td>6.613284</td>\n",
-       "      <td>-12.423635</td>\n",
-       "      <td>7.519929</td>\n",
-       "      <td>-10.266255</td>\n",
-       "      <td>-2.113208</td>\n",
-       "      <td>-9.984287</td>\n",
-       "      <td>5.541941</td>\n",
-       "      <td>-7.383705</td>\n",
+       "      <td>141925.0</td>\n",
+       "      <td>0.120301</td>\n",
+       "      <td>1.974141</td>\n",
+       "      <td>-0.434087</td>\n",
+       "      <td>5.390793</td>\n",
+       "      <td>1.289684</td>\n",
+       "      <td>0.280590</td>\n",
+       "      <td>0.221963</td>\n",
+       "      <td>0.067827</td>\n",
+       "      <td>-1.387054</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.775891</td>\n",
-       "      <td>-1.224758</td>\n",
-       "      <td>0.082594</td>\n",
-       "      <td>0.452089</td>\n",
-       "      <td>0.463827</td>\n",
-       "      <td>-0.296928</td>\n",
-       "      <td>0.526506</td>\n",
-       "      <td>-0.450890</td>\n",
-       "      <td>459.07</td>\n",
+       "      <td>-0.038690</td>\n",
+       "      <td>0.204554</td>\n",
+       "      <td>-0.167313</td>\n",
+       "      <td>0.791547</td>\n",
+       "      <td>-0.223675</td>\n",
+       "      <td>0.473223</td>\n",
+       "      <td>-0.160202</td>\n",
+       "      <td>0.065039</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -2634,121 +2624,121 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <td>487</td>\n",
-       "      <td>154181.0</td>\n",
-       "      <td>-0.549615</td>\n",
-       "      <td>2.219075</td>\n",
-       "      <td>-3.522024</td>\n",
-       "      <td>0.236995</td>\n",
-       "      <td>1.087469</td>\n",
-       "      <td>-1.235530</td>\n",
-       "      <td>-0.279313</td>\n",
-       "      <td>0.514361</td>\n",
-       "      <td>-1.849927</td>\n",
+       "      <td>91554.0</td>\n",
+       "      <td>-5.100256</td>\n",
+       "      <td>3.633442</td>\n",
+       "      <td>-3.843919</td>\n",
+       "      <td>0.183208</td>\n",
+       "      <td>-1.183997</td>\n",
+       "      <td>1.602139</td>\n",
+       "      <td>-3.005953</td>\n",
+       "      <td>-8.645038</td>\n",
+       "      <td>1.285458</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.364130</td>\n",
-       "      <td>0.210428</td>\n",
-       "      <td>-0.366019</td>\n",
-       "      <td>0.015803</td>\n",
-       "      <td>0.349212</td>\n",
-       "      <td>0.647302</td>\n",
-       "      <td>0.171929</td>\n",
-       "      <td>0.117188</td>\n",
-       "      <td>0.76</td>\n",
+       "      <td>8.280439</td>\n",
+       "      <td>-2.797150</td>\n",
+       "      <td>1.090707</td>\n",
+       "      <td>-0.159260</td>\n",
+       "      <td>0.532156</td>\n",
+       "      <td>-0.497126</td>\n",
+       "      <td>0.943622</td>\n",
+       "      <td>0.553581</td>\n",
+       "      <td>261.22</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>488</td>\n",
-       "      <td>72327.0</td>\n",
-       "      <td>-4.198735</td>\n",
-       "      <td>0.194121</td>\n",
-       "      <td>-3.917586</td>\n",
-       "      <td>3.920748</td>\n",
-       "      <td>-1.875486</td>\n",
-       "      <td>-2.118933</td>\n",
-       "      <td>-3.614445</td>\n",
-       "      <td>1.687884</td>\n",
-       "      <td>-2.189871</td>\n",
+       "      <td>36170.0</td>\n",
+       "      <td>-5.685013</td>\n",
+       "      <td>5.776516</td>\n",
+       "      <td>-7.064977</td>\n",
+       "      <td>5.902715</td>\n",
+       "      <td>-4.715564</td>\n",
+       "      <td>-1.755633</td>\n",
+       "      <td>-6.958679</td>\n",
+       "      <td>3.877795</td>\n",
+       "      <td>-5.541529</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.801312</td>\n",
-       "      <td>-0.183001</td>\n",
-       "      <td>-0.440387</td>\n",
-       "      <td>0.292539</td>\n",
-       "      <td>-0.144967</td>\n",
-       "      <td>-0.251744</td>\n",
-       "      <td>1.249414</td>\n",
-       "      <td>-0.131525</td>\n",
-       "      <td>238.90</td>\n",
+       "      <td>1.128641</td>\n",
+       "      <td>-0.962960</td>\n",
+       "      <td>-0.110045</td>\n",
+       "      <td>-0.177733</td>\n",
+       "      <td>-0.089175</td>\n",
+       "      <td>-0.049447</td>\n",
+       "      <td>0.303445</td>\n",
+       "      <td>0.219380</td>\n",
+       "      <td>111.70</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>489</td>\n",
-       "      <td>155965.0</td>\n",
-       "      <td>-1.201398</td>\n",
-       "      <td>4.864535</td>\n",
-       "      <td>-8.328823</td>\n",
-       "      <td>7.652399</td>\n",
-       "      <td>-0.167445</td>\n",
-       "      <td>-2.767695</td>\n",
-       "      <td>-3.176421</td>\n",
-       "      <td>1.623279</td>\n",
-       "      <td>-4.367228</td>\n",
+       "      <td>25426.0</td>\n",
+       "      <td>1.125336</td>\n",
+       "      <td>1.130146</td>\n",
+       "      <td>-0.962975</td>\n",
+       "      <td>2.675688</td>\n",
+       "      <td>0.990075</td>\n",
+       "      <td>-0.243318</td>\n",
+       "      <td>0.316192</td>\n",
+       "      <td>0.122960</td>\n",
+       "      <td>-1.143343</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.532320</td>\n",
-       "      <td>-0.556913</td>\n",
-       "      <td>0.192444</td>\n",
-       "      <td>-0.698588</td>\n",
-       "      <td>0.025003</td>\n",
-       "      <td>0.514968</td>\n",
-       "      <td>0.378105</td>\n",
-       "      <td>-0.053133</td>\n",
-       "      <td>0.77</td>\n",
+       "      <td>-0.166737</td>\n",
+       "      <td>-0.521934</td>\n",
+       "      <td>-0.112376</td>\n",
+       "      <td>-0.592077</td>\n",
+       "      <td>0.520791</td>\n",
+       "      <td>0.043354</td>\n",
+       "      <td>0.015159</td>\n",
+       "      <td>0.063612</td>\n",
+       "      <td>3.76</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>490</td>\n",
-       "      <td>27252.0</td>\n",
-       "      <td>-25.942434</td>\n",
-       "      <td>14.601998</td>\n",
-       "      <td>-27.368650</td>\n",
-       "      <td>6.378395</td>\n",
-       "      <td>-19.104033</td>\n",
-       "      <td>-4.684806</td>\n",
-       "      <td>-18.261393</td>\n",
-       "      <td>17.052566</td>\n",
-       "      <td>-3.742605</td>\n",
+       "      <td>11092.0</td>\n",
+       "      <td>0.378275</td>\n",
+       "      <td>3.914797</td>\n",
+       "      <td>-5.726872</td>\n",
+       "      <td>6.094141</td>\n",
+       "      <td>1.698875</td>\n",
+       "      <td>-2.807314</td>\n",
+       "      <td>-0.591118</td>\n",
+       "      <td>-0.123496</td>\n",
+       "      <td>-2.530713</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.784316</td>\n",
-       "      <td>-1.917759</td>\n",
-       "      <td>-1.235787</td>\n",
-       "      <td>0.161105</td>\n",
-       "      <td>1.820378</td>\n",
-       "      <td>-0.219359</td>\n",
-       "      <td>1.388786</td>\n",
-       "      <td>0.406810</td>\n",
-       "      <td>99.99</td>\n",
+       "      <td>0.149896</td>\n",
+       "      <td>-0.601967</td>\n",
+       "      <td>-0.613724</td>\n",
+       "      <td>-0.403114</td>\n",
+       "      <td>1.568445</td>\n",
+       "      <td>0.521884</td>\n",
+       "      <td>0.527938</td>\n",
+       "      <td>0.411910</td>\n",
+       "      <td>1.00</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>491</td>\n",
-       "      <td>18399.0</td>\n",
-       "      <td>-14.474437</td>\n",
-       "      <td>6.503185</td>\n",
-       "      <td>-17.712632</td>\n",
-       "      <td>11.270352</td>\n",
-       "      <td>-4.150142</td>\n",
-       "      <td>-3.372098</td>\n",
-       "      <td>-16.535807</td>\n",
-       "      <td>-1.443947</td>\n",
-       "      <td>-6.815273</td>\n",
+       "      <td>14152.0</td>\n",
+       "      <td>-4.710529</td>\n",
+       "      <td>8.636214</td>\n",
+       "      <td>-15.496222</td>\n",
+       "      <td>10.313349</td>\n",
+       "      <td>-4.351341</td>\n",
+       "      <td>-3.322689</td>\n",
+       "      <td>-10.788373</td>\n",
+       "      <td>5.060381</td>\n",
+       "      <td>-5.689311</td>\n",
        "      <td>...</td>\n",
-       "      <td>-2.475962</td>\n",
-       "      <td>0.342391</td>\n",
-       "      <td>-3.564508</td>\n",
-       "      <td>-0.818140</td>\n",
-       "      <td>0.153408</td>\n",
-       "      <td>0.755079</td>\n",
-       "      <td>2.706566</td>\n",
-       "      <td>-0.992916</td>\n",
+       "      <td>1.990545</td>\n",
+       "      <td>0.223785</td>\n",
+       "      <td>0.554408</td>\n",
+       "      <td>-1.204042</td>\n",
+       "      <td>-0.450685</td>\n",
+       "      <td>0.641836</td>\n",
+       "      <td>1.605958</td>\n",
+       "      <td>0.721644</td>\n",
        "      <td>1.00</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
@@ -2758,44 +2748,44 @@
        "</div>"
       ],
       "text/plain": [
-       "         Time         V1         V2         V3         V4         V5  \\\n",
-       "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-       "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-       "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-       "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-       "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-       "..        ...        ...        ...        ...        ...        ...   \n",
-       "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-       "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-       "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-       "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-       "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+       "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+       "0    154181.0 -0.549615  2.219075  -3.522024   0.236995  1.087469 -1.235530   \n",
+       "1     35866.0 -2.044489  3.368306  -3.937111   5.623120 -3.079232 -1.253474   \n",
+       "2    132086.0 -0.361428  1.133472  -2.971360  -0.283073  0.371452 -0.574680   \n",
+       "3     47982.0 -1.232804  2.244119  -1.703826   1.492536 -1.192985 -1.686110   \n",
+       "4    141925.0  0.120301  1.974141  -0.434087   5.390793  1.289684  0.280590   \n",
+       "..        ...       ...       ...        ...        ...       ...       ...   \n",
+       "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+       "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+       "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+       "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+       "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
        "\n",
-       "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-       "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-       "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-       "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-       "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-       "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-       "..        ...        ...        ...       ...  ...       ...       ...   \n",
-       "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-       "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-       "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-       "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-       "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+       "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+       "0    -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+       "1    -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+       "2     4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+       "3    -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+       "4     0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+       "..         ...       ...       ...  ...       ...       ...       ...   \n",
+       "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+       "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+       "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+       "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+       "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
        "\n",
-       "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-       "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-       "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-       "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-       "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-       "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-       "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-       "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-       "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-       "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-       "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-       "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+       "          V24       V25       V26       V27       V28  Amount  Class  \n",
+       "0    0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+       "1    0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+       "2   -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+       "3    0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+       "4    0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+       "..        ...       ...       ...       ...       ...     ...    ...  \n",
+       "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+       "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+       "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+       "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+       "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
        "\n",
        "[492 rows x 31 columns]"
       ]
@@ -2819,35 +2809,35 @@
     {
      "data": {
       "text/plain": [
-       "Time      18399.000000\n",
-       "V1          -14.474437\n",
-       "V2            6.503185\n",
-       "V3          -17.712632\n",
-       "V4           11.270352\n",
-       "V5           -4.150142\n",
-       "V6           -3.372098\n",
-       "V7          -16.535807\n",
-       "V8           -1.443947\n",
-       "V9           -6.815273\n",
-       "V10         -13.670545\n",
-       "V11          10.545263\n",
-       "V12         -15.022700\n",
-       "V13           0.171633\n",
-       "V14         -15.066374\n",
-       "V15          -0.259576\n",
-       "V16          -8.668739\n",
-       "V17         -12.804141\n",
-       "V18          -5.116620\n",
-       "V19           0.579200\n",
-       "V20           1.101250\n",
-       "V21          -2.475962\n",
-       "V22           0.342391\n",
-       "V23          -3.564508\n",
-       "V24          -0.818140\n",
-       "V25           0.153408\n",
-       "V26           0.755079\n",
-       "V27           2.706566\n",
-       "V28          -0.992916\n",
+       "Time      14152.000000\n",
+       "V1           -4.710529\n",
+       "V2            8.636214\n",
+       "V3          -15.496222\n",
+       "V4           10.313349\n",
+       "V5           -4.351341\n",
+       "V6           -3.322689\n",
+       "V7          -10.788373\n",
+       "V8            5.060381\n",
+       "V9           -5.689311\n",
+       "V10         -11.712187\n",
+       "V11          11.152491\n",
+       "V12         -16.558197\n",
+       "V13           0.302645\n",
+       "V14         -17.475921\n",
+       "V15          -0.412393\n",
+       "V16         -10.222203\n",
+       "V17         -13.799148\n",
+       "V18          -5.008585\n",
+       "V19           1.162026\n",
+       "V20           1.434240\n",
+       "V21           1.990545\n",
+       "V22           0.223785\n",
+       "V23           0.554408\n",
+       "V24          -1.204042\n",
+       "V25          -0.450685\n",
+       "V26           0.641836\n",
+       "V27           1.605958\n",
+       "V28           0.721644\n",
        "Amount        1.000000\n",
        "Class         1.000000\n",
        "Name: 491, dtype: float64"
@@ -2871,7 +2861,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {
     "scrolled": true
    },
@@ -2883,207 +2873,207 @@
       "98\n",
       "Getting DF from index 0 to 98\n",
       "        Time         V1        V2         V3        V4         V5        V6  \\\n",
-      "0   129808.0   1.522080 -0.519429  -2.581685  0.774741   0.206722 -1.431020   \n",
-      "1    48884.0  -2.139051  1.394368  -0.612035  1.049327  -1.162102 -0.768219   \n",
-      "2    78725.0  -4.312479  1.886476  -2.338634 -0.475243  -1.185444 -2.112079   \n",
-      "3    41413.0 -15.140450  7.378042 -16.356367  9.194935 -13.466163 -2.958431   \n",
-      "4    41227.0  -9.001351  6.613284 -12.423635  7.519929 -10.266255 -2.113208   \n",
+      "0   154181.0  -0.549615  2.219075  -3.522024  0.236995   1.087469 -1.235530   \n",
+      "1    35866.0  -2.044489  3.368306  -3.937111  5.623120  -3.079232 -1.253474   \n",
+      "2   132086.0  -0.361428  1.133472  -2.971360 -0.283073   0.371452 -0.574680   \n",
+      "3    47982.0  -1.232804  2.244119  -1.703826  1.492536  -1.192985 -1.686110   \n",
+      "4   141925.0   0.120301  1.974141  -0.434087  5.390793   1.289684  0.280590   \n",
       "..       ...        ...       ...        ...       ...        ...       ...   \n",
-      "93   42985.0  -4.075975  0.963031  -5.076070  4.955963  -0.161437 -2.832663   \n",
-      "94   64785.0  -8.744415 -3.420468  -4.850575  6.606846  -2.800546  0.105512   \n",
-      "95   93860.0 -10.850282  6.727466 -16.760583  8.425832 -10.252697 -4.192171   \n",
-      "96   88672.0  -3.859881  2.632881  -5.264265  3.446113  -0.675231 -1.904959   \n",
-      "97   50808.0  -9.169790  7.092197 -12.354037  4.243069  -7.176438 -3.386618   \n",
-      "\n",
-      "           V7         V8        V9  ...       V21       V22       V23  \\\n",
-      "0    0.757011  -0.444418  0.997921  ...  0.019649 -0.211678 -0.247452   \n",
-      "1   -1.997237   0.574997 -0.980832  ...  0.696955  0.740003 -0.155115   \n",
-      "2   -2.122793   0.272565  0.290273  ...  0.550541 -0.067870 -1.114692   \n",
-      "3  -16.165539  10.075254 -7.901821  ...  3.147428  0.341678 -1.150162   \n",
-      "4   -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758  0.082594   \n",
-      "..        ...        ...       ...  ...       ...       ...       ...   \n",
-      "93  -7.619765   1.618895 -2.992092  ...  1.030738  0.165328 -1.017502   \n",
-      "94  -3.269801   0.940378 -2.558691  ...  0.102913  0.311626 -4.129195   \n",
-      "95 -14.077086   7.168288 -3.683242  ...  2.541637  0.135535 -1.023967   \n",
-      "96  -3.291041  -0.985766 -1.168114  ...  1.664119  0.785075  0.068412   \n",
-      "97  -8.058012   6.442909 -2.412987  ...  0.926157 -0.817706 -0.150434   \n",
+      "93   41237.0 -10.281784  6.302385 -13.271718  8.925115  -9.975578 -2.832513   \n",
+      "94   41243.0 -10.940739  6.261586 -14.182339  7.183602  -9.951363 -3.860820   \n",
+      "95   71033.0  -3.170818  0.185735  -3.399852  3.761155  -2.148047 -1.598944   \n",
+      "96   17838.0  -5.187878  6.967709 -13.510931  8.617895 -11.214422  0.672248   \n",
+      "97    8408.0  -1.813280  4.917851  -5.926130  5.701500   1.204393 -3.035138   \n",
+      "\n",
+      "           V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0   -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1   -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2    4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3   -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4    0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..        ...       ...       ...  ...       ...       ...       ...   \n",
+      "93 -12.703253  6.706846 -7.078424  ...  2.479414  0.366933  0.042805   \n",
+      "94 -13.547302  7.096472 -6.294029  ...  2.267448 -0.492029 -0.239303   \n",
+      "95  -2.519565  1.316215 -2.400106  ...  1.092051 -0.041080  0.904395   \n",
+      "96  -9.462533  5.328704 -4.897006  ...  2.086083  0.760190  0.716806   \n",
+      "97  -1.713402  0.561257 -3.796354  ...  0.615642 -0.406427 -0.737018   \n",
       "\n",
       "         V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0  -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1  -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4   0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
+      "0   0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1   0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2  -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3   0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4   0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
       "..       ...       ...       ...       ...       ...     ...    ...  \n",
-      "93 -0.477983 -0.304987 -0.106089  1.899714  0.511462    1.00      1  \n",
-      "94  0.034639 -1.133631  0.272265  1.841307 -1.796363  720.38      1  \n",
-      "95  0.406265  0.106593 -0.026232 -1.464630 -0.411682   78.00      1  \n",
-      "96  0.778961 -0.863166 -0.006810 -1.065734  1.773326    1.18      1  \n",
-      "97 -0.039383  0.485640 -0.264325  1.159690  0.232758   99.99      1  \n",
+      "93  0.478279  0.157771  0.329901  0.163504 -0.485552  118.30      1  \n",
+      "94  0.454368 -0.101611  0.446997  0.062293 -0.439770   45.49      1  \n",
+      "95  0.180016  0.049970 -0.257100  0.859282  0.225924  426.40      1  \n",
+      "96 -0.646743 -1.617043  0.172347  0.626647 -0.169726  766.36      1  \n",
+      "97 -0.279642  1.106766  0.323885  0.894767  0.569519    1.00      1  \n",
       "\n",
       "[98 rows x 31 columns]\n",
       "Getting DF from index 98 to 196\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "98    69394.0   1.140431   1.134243  -1.429455   2.012226   0.622800   \n",
-      "99   165981.0  -5.766879  -8.402154   0.056543   6.950983   9.880564   \n",
-      "100   92102.0  -1.662937   3.253892  -7.040485   2.266456  -4.177649   \n",
-      "101   91075.0  -1.855061   1.554964  -1.405809   0.669327  -0.280230   \n",
-      "102   75556.0  -0.734303   0.435519  -0.530866  -0.471120   0.643214   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "191  148468.0   0.218810   2.715855  -5.111658   6.310661  -0.848345   \n",
-      "192   95628.0 -17.518909  12.572118 -19.038538  11.190895 -13.554721   \n",
-      "193  154493.0  -7.381547  -7.449015  -4.696287   3.728439   6.198304   \n",
-      "194   53031.0   0.206075   1.387360  -1.045287   4.228686  -1.647549   \n",
-      "195   59777.0  -8.257111  -4.814461  -5.365307   1.204230  -3.347420   \n",
-      "\n",
-      "           V6         V7        V8        V9  ...       V21       V22  \\\n",
-      "98  -1.152923   0.221159  0.037372  0.034486  ... -0.367136 -0.891627   \n",
-      "99  -5.773192  -5.748879  0.721743 -1.076274  ...  0.880395 -0.130436   \n",
-      "100 -0.746925  -0.248337  1.091157 -0.307137  ...  0.450381  0.521162   \n",
-      "101  1.178652  -3.459979 -2.815155  1.242229  ... -0.095308  0.946629   \n",
-      "102  0.713832  -1.234572 -2.551412 -2.057724  ... -1.004877  1.150354   \n",
-      "..        ...        ...       ...       ...  ...       ...       ...   \n",
-      "191 -0.882446  -2.902079  0.939162 -3.627698  ...  1.083640  1.037324   \n",
-      "192 -0.411924 -23.189397 -5.301412 -8.630390  ... -4.969478  0.976125   \n",
-      "193 -6.406267  -5.831452  1.457175 -0.646203  ...  1.176575 -0.978692   \n",
-      "194 -0.180897  -2.943678  0.859156 -1.181743  ...  0.469199  0.344930   \n",
-      "195 -1.331601  -1.967893  1.295438 -1.674415  ...  0.436390 -0.077553   \n",
+      "         Time         V1         V2         V3        V4         V5        V6  \\\n",
+      "98     8808.0  -4.617217   1.695694  -3.114372  4.328199  -1.873257 -0.989908   \n",
+      "99   146179.0  -0.067672   4.251181  -6.540388  7.283657   0.513541 -2.635066   \n",
+      "100  133731.0   1.176633   3.141918  -6.140445  5.521821   1.768515 -1.727186   \n",
+      "101  133958.0   0.523820   1.531708  -4.176390  3.584615  -1.023954 -0.502471   \n",
+      "102  158638.0  -5.976119  -7.196980  -5.388316  5.104799   4.676533 -5.566870   \n",
+      "..        ...        ...        ...        ...       ...        ...       ...   \n",
+      "191   26556.0 -19.179826  11.817922 -21.919174  6.086236 -14.708845 -4.308888   \n",
+      "192   46149.0  -1.346509   2.132431  -1.854355  2.116998  -1.070378 -1.092671   \n",
+      "193  146026.0   1.894036   1.905806  -3.515730  4.508913   2.044466 -1.420468   \n",
+      "194   30852.0  -2.830984   0.885657   1.199930  2.861292   0.321669  0.289966   \n",
+      "195  100298.0 -22.341889  15.536133 -22.865228  7.043374 -14.183129 -0.463145   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "98  -0.160578 -0.108326  0.668374 -0.352393  0.071993  0.113684    1.00      1  \n",
-      "99   2.241471  0.665346 -1.890041 -0.120803  0.073269  0.583799    0.00      1  \n",
-      "100  0.308325 -0.318012 -1.255362 -0.691963  0.264878 -0.130445  600.73      1  \n",
-      "101 -0.297403 -0.368344  0.198731 -0.078591  0.366709  0.073767   38.76      1  \n",
-      "102 -0.152555 -1.386745  0.004716  0.219146 -0.058257  0.158048   29.95      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "191  0.062325  0.532490 -0.149145  0.639580  0.351568 -0.001817    0.76      1  \n",
-      "192  1.841248  0.334418 -0.720128 -0.232603 -3.021992 -0.478158    1.63      1  \n",
-      "193 -0.278330 -0.635874  0.123539  0.404729  0.704915 -1.229992   35.00      1  \n",
-      "194 -0.203799  0.376640  0.715485  0.226003  0.628545  0.319918    0.76      1  \n",
-      "195 -3.091624 -0.390201 -0.288689 -0.340004  0.039819 -1.007900  319.20      1  \n",
+      "            V7         V8        V9  ...       V21       V22       V23  \\\n",
+      "98   -4.577265   0.472216  0.472017  ...  0.481830  0.146023  0.117039   \n",
+      "99   -1.865911   0.780272 -3.868248  ...  0.415437 -0.469938  0.007128   \n",
+      "100  -0.932429   0.292797 -3.156827  ...  0.129372 -0.803021 -0.074098   \n",
+      "101  -1.891966   0.878417 -1.541942  ...  0.851859  1.176927  0.453553   \n",
+      "102  -4.291180   0.876531 -1.075478  ...  1.459369 -0.136262  0.848177   \n",
+      "..         ...        ...       ...  ...       ...       ...       ...   \n",
+      "191 -15.357952  12.857165 -3.999861  ...  1.746802 -1.353149 -0.762965   \n",
+      "192  -2.230986   1.036425 -1.895516  ...  0.609508  0.202874 -0.060791   \n",
+      "193   1.057480  -0.281157 -1.832604  ... -0.144713 -0.310108 -0.101530   \n",
+      "194   1.767760  -2.451050  0.069736  ...  0.546589  0.334971  0.172106   \n",
+      "195 -28.215112 -14.607791 -9.481456  ... -9.110423  4.158895  1.412928   \n",
+      "\n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "98  -0.217565 -0.138776 -0.424453 -1.002041  0.890780    1.10      1  \n",
+      "99  -0.388147 -0.493398  0.466468  0.566370  0.262990    0.77      1  \n",
+      "100 -0.031084  0.375366  0.065897  0.488258  0.325872    0.00      1  \n",
+      "101  0.485211 -0.500687 -0.108284  0.269477 -0.063245  130.21      1  \n",
+      "102 -0.269916 -1.095060 -0.710905  0.565846 -1.034107  296.00      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "191  0.117028  1.297994 -0.224825  1.621052  0.484614   99.99      1  \n",
+      "192 -0.186733 -0.017401 -0.283751  0.395451  0.233139    1.00      1  \n",
+      "193 -0.414960  0.376597  0.150778 -0.013712  0.048084    2.22      1  \n",
+      "194  0.623590 -0.527114 -0.079215 -2.532445  0.311177  104.81      1  \n",
+      "195  0.382801  0.447154 -0.632816 -4.380154 -0.467863    1.00      1  \n",
       "\n",
       "[98 rows x 31 columns]\n",
       "Getting DF from index 196 to 294\n",
-      "         Time         V1        V2         V3        V4         V5        V6  \\\n",
-      "196   17838.0  -5.187878  6.967709 -13.510931  8.617895 -11.214422  0.672248   \n",
-      "197  142394.0  -3.367770  0.099249  -6.148487  3.401955   0.458307 -1.571630   \n",
-      "198   32745.0  -2.179135  0.020218  -2.182733  2.572046  -3.663733  0.081568   \n",
-      "199  160537.0   0.567539  3.309385  -6.631268  6.394574  -0.054172 -2.396535   \n",
-      "200  149236.0  -1.370976 -0.025465  -2.774907  2.650530   4.511309 -3.289344   \n",
-      "..        ...        ...       ...        ...       ...        ...       ...   \n",
-      "289  151916.0  -5.488032  3.329561  -5.996296  3.601720  -2.023926 -1.737393   \n",
-      "290   41607.0 -18.247513  8.713250 -17.880127  9.249459 -14.541213 -1.911564   \n",
-      "291  126219.0  -1.141559  1.927650  -3.905356 -0.073943  -0.044858 -1.756999   \n",
-      "292   42474.0  -3.843009  3.375110  -5.492893  6.136378   2.797195 -2.646162   \n",
-      "293   84204.0  -1.927453  1.827621  -7.019495  5.348303  -2.739188 -2.107219   \n",
+      "         Time         V1         V2         V3        V4         V5        V6  \\\n",
+      "196  129308.0   0.054682   1.856500  -4.075451  4.100098  -0.800931 -0.292502   \n",
+      "197   73408.0  -2.869795   1.335667  -1.009530  1.693885  -0.741480 -0.796773   \n",
+      "198   13126.0  -2.880042   5.225442 -11.063330  6.689951  -5.759924 -2.244031   \n",
+      "199  148053.0   1.261324   2.726800  -5.435019  5.342759   1.447043 -1.442584   \n",
+      "200   41413.0 -15.140450   7.378042 -16.356367  9.194935 -13.466163 -2.958431   \n",
+      "..        ...        ...        ...        ...       ...        ...       ...   \n",
+      "289   28658.0 -28.524268  15.876923 -29.468732  6.447591 -20.786000 -4.865613   \n",
+      "290   45501.0   1.001992   0.047938  -0.349002  1.493958   0.186939  0.190966   \n",
+      "291    9064.0  -3.499108   0.258555  -4.489558  4.853894  -6.974522  3.628382   \n",
+      "292  135095.0   0.232512   0.938944  -4.647780  3.079844  -1.902655 -1.041408   \n",
+      "293  129741.0  -1.396204   2.618584  -6.036770  3.552454   1.030091 -2.950358   \n",
       "\n",
-      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
-      "196  -9.462533  5.328704 -4.897006  ...  2.086083  0.760190  0.716806   \n",
-      "197  -1.358708  0.672409 -3.188001  ...  0.861308  1.249301  1.850627   \n",
-      "198   0.268049  0.660437 -2.374027  ...  1.026421  0.299614  1.656800   \n",
-      "199  -2.792489  0.514811 -3.541780  ...  0.614221 -0.365047 -0.180409   \n",
-      "200  -0.118841 -0.014279 -0.932773  ... -0.048061 -0.599350  0.072193   \n",
-      "..         ...       ...       ...  ...       ...       ...       ...   \n",
-      "289  -4.396859  0.228394 -1.675884  ...  1.719631  0.343209  0.133584   \n",
-      "290 -18.014660  5.522162 -9.283925  ...  0.598843  0.615319 -0.486499   \n",
-      "291  -1.217416  0.364563 -2.770148  ...  0.102081 -0.531496 -0.328741   \n",
-      "292  -1.668931 -2.617552 -3.945843  ... -1.277812  0.719652  0.451125   \n",
-      "293  -5.015848  1.205868 -4.382713  ...  1.376938 -0.792017 -0.771414   \n",
+      "            V7         V8        V9  ...       V21       V22       V23  \\\n",
+      "196  -2.317431   1.189747 -0.786238  ...  0.618248  0.800932  0.130016   \n",
+      "197  -2.614242   1.066636 -1.135497  ...  0.528421  0.228027 -0.749298   \n",
+      "198 -11.199975   4.014722 -3.429304  ...  2.002883  0.351102  0.795255   \n",
+      "199  -0.898702   0.123062 -2.748496  ...  0.209086 -0.425938 -0.154440   \n",
+      "200 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678 -1.150162   \n",
+      "..         ...        ...       ...  ...       ...       ...       ...   \n",
+      "289 -19.501084  18.748872 -3.642990  ...  1.805770 -2.119376 -1.317450   \n",
+      "290  -0.001112   0.147140  0.580415  ... -0.334417 -1.014315 -0.128427   \n",
+      "291   5.431271  -1.946734 -0.775680  ... -1.052368  0.204817 -2.119007   \n",
+      "292  -1.020407   0.547069 -1.105990  ...  0.911373  1.042929  0.999394   \n",
+      "293  -1.528506   0.189319 -1.433554  ...  0.143177 -0.390176  0.356029   \n",
       "\n",
-      "          V24       V25       V26       V27       V28  Amount  Class  \n",
-      "196 -0.646743 -1.617043  0.172347  0.626647 -0.169726  766.36      1  \n",
-      "197 -0.117471  1.219815  0.000251  1.036011  0.004367  320.01      1  \n",
-      "198  0.328433  0.106457  0.691775  0.196779  0.241085  717.15      1  \n",
-      "199 -0.523271  0.645054  0.246466  0.902675  0.473571    4.69      1  \n",
-      "200 -0.600351  0.371331 -0.370951  0.011970  0.145895    1.00      1  \n",
-      "..        ...       ...       ...       ...       ...     ...    ...  \n",
-      "289  0.833340 -0.839776  0.502010 -1.937473  1.521218    0.01      1  \n",
-      "290  0.739268 -0.236845 -0.046082 -3.011473 -1.022147   53.95      1  \n",
-      "291  0.393100  0.568435  0.786605 -0.146102  0.076211   25.00      1  \n",
-      "292 -0.258094  0.656129  0.556676  0.739383 -0.203050    1.00      1  \n",
-      "293 -0.379574  0.718717  1.111151  1.277707  0.819081  512.25      1  \n",
+      "          V24       V25       V26       V27       V28   Amount  Class  \n",
+      "196  0.288946 -0.366658  0.030307  0.431182  0.110698    80.90      1  \n",
+      "197 -0.067179  0.215792 -0.453651  0.349191  0.198862    16.48      1  \n",
+      "198 -0.778379 -1.646815  0.487539  1.427713  0.583172     1.00      1  \n",
+      "199 -0.018820  0.632234  0.192922  0.468181  0.280486     1.59      1  \n",
+      "200  0.795190 -0.194542  0.145964 -2.458680 -1.189888   106.55      1  \n",
+      "..        ...       ...       ...       ...       ...      ...    ...  \n",
+      "289  0.169846  2.051687 -0.210502  1.301734  0.380246    99.99      1  \n",
+      "290 -0.946242  0.456090 -0.453206  0.046627  0.064698   105.99      1  \n",
+      "291  0.170279 -0.393844  0.296367  1.985913 -0.900452  1809.68      1  \n",
+      "292  0.901260 -0.452093  0.192959  0.180859 -0.029315   345.00      1  \n",
+      "293 -0.762352  0.096510 -0.487861  0.062655 -0.240732     1.00      1  \n",
       "\n",
       "[98 rows x 31 columns]\n",
       "Getting DF from index 294 to 392\n",
       "         Time         V1         V2         V3         V4         V5  \\\n",
-      "294  131024.0   0.469750  -1.237555  -1.767341   4.833490  -0.268715   \n",
-      "295   74262.0  -2.250535   2.365755  -2.955491   0.089791  -2.830745   \n",
-      "296   68357.0   1.232604  -0.548931   1.087873   0.894082  -1.433055   \n",
-      "297  148028.0  -1.053840   4.362801  -6.023534   5.304534   1.480738   \n",
-      "298   11092.0   0.378275   3.914797  -5.726872   6.094141   1.698875   \n",
+      "294  128595.0  -5.313774   2.664274  -4.250707   0.394707  -0.391383   \n",
+      "295   84204.0  -0.937843   3.462889  -6.445104   4.932199  -2.233983   \n",
+      "296   41397.0 -14.970346   8.401421 -16.867238   8.252334 -13.565130   \n",
+      "297  128471.0   0.909124   1.337658  -4.484728   3.245358  -0.417809   \n",
+      "298   11131.0  -1.426623   4.141986  -9.804103   6.666273  -4.749527   \n",
       "..        ...        ...        ...        ...        ...        ...   \n",
-      "387   56887.0  -0.075483   1.812355  -2.566981   4.127549  -1.628532   \n",
-      "388   25198.0 -15.903635  10.393917 -19.133602   6.185969 -12.538021   \n",
-      "389   20451.0 -15.819179   8.775997 -22.804686  11.864868  -9.092361   \n",
-      "390  102669.0  -5.603690   5.222193  -7.516830   8.117724  -2.756858   \n",
-      "391   96135.0  -1.952933   3.541385  -1.310561   5.955664  -1.003993   \n",
+      "387   50706.0  -8.461845   6.866198 -11.838269   4.194211  -6.923097   \n",
+      "388  102572.0 -28.709229  22.057729 -27.855811  11.845013 -18.983813   \n",
+      "389   68207.0 -13.192671  12.785971  -9.906650   3.320337  -4.801176   \n",
+      "390   41285.0 -12.835760   6.574615 -12.788462   8.786257 -10.723121   \n",
+      "391   96291.0  -3.552173   5.426461  -3.731810   6.679062  -2.187543   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "294 -0.512760   1.140149  -0.341273 -1.046351  ...  0.303905 -0.647075   \n",
-      "295 -0.844462  -0.174062  -0.407138  0.174216  ...  0.256560 -0.466245   \n",
-      "296 -0.356797  -0.717492   0.003167 -0.100397  ... -0.448671 -0.517568   \n",
-      "297 -2.193821  -1.530817   0.626857 -4.037021  ...  0.397954 -0.945402   \n",
-      "298 -2.807314  -0.591118  -0.123496 -2.530713  ...  0.149896 -0.601967   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "387 -0.805895  -3.390135   1.019353 -2.451251  ...  0.794372  0.270471   \n",
-      "388 -4.027030 -13.897827  10.662252 -2.844954  ...  1.577548 -1.280137   \n",
-      "389 -2.386893 -16.560368   0.948349 -6.310658  ... -2.350634  1.036362   \n",
-      "390 -1.574565  -6.330343   2.998419 -4.508167  ...  1.242896  0.428408   \n",
-      "391  0.983049  -4.587235  -4.892184 -2.516752  ... -1.998091  1.133706   \n",
+      "           V6         V7         V8         V9  ...        V21       V22  \\\n",
+      "294  0.683526  -5.133671  -7.907790   0.215475  ...   8.664662 -2.716383   \n",
+      "295 -2.291561  -5.695594   1.338825  -4.322377  ...   1.066550 -0.521657   \n",
+      "296 -2.782438 -14.263735   9.643419  -7.701499  ...   2.714045 -0.101355   \n",
+      "297 -0.762119  -2.506349   0.694164  -0.467556  ...   0.586829  0.594078   \n",
+      "298 -2.073129 -10.089931   2.791345  -3.249516  ...   1.865679  0.407809   \n",
+      "..        ...        ...        ...        ...  ...        ...       ...   \n",
+      "387 -3.221147  -7.553497   6.015618  -2.466143  ...   0.918244 -0.715366   \n",
+      "388  6.474115 -43.557242 -41.044261 -13.320155  ... -22.797604  8.316275   \n",
+      "389  5.760059 -18.750889 -37.353443  -0.391540  ...  27.202839 -8.887017   \n",
+      "390 -2.813536 -14.248847   7.960521  -7.718751  ...   2.679490 -0.047335   \n",
+      "391  2.433940  -8.748110 -12.108284  -2.856359  ...  -5.688990  2.510980   \n",
       "\n",
       "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "294 -0.373014  0.260801 -0.496566 -0.245973 -0.117858  0.144774  723.21      1  \n",
-      "295  0.291105  0.242567 -1.279094 -1.123534 -0.630977  0.326839  311.28      1  \n",
-      "296  0.012833  0.699217  0.527258 -0.322607  0.080805  0.035427   19.59      1  \n",
-      "297 -0.376138 -0.220480  0.264003  0.048935  0.847220  0.531932    0.00      1  \n",
-      "298 -0.613724 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "294  0.483559  0.079235  0.311065  0.555544  0.176740  0.362907    1.00      1  \n",
+      "295 -0.319917 -0.405859  0.906802  1.165784  1.374495  0.729889    0.00      1  \n",
+      "296 -0.439666  0.519514  0.789328  0.064357 -1.621386 -1.104819  273.01      1  \n",
+      "297 -0.252120  0.325439  0.562766 -0.256278  0.652674  0.319879   67.90      1  \n",
+      "298  0.605809 -0.769348 -1.746337  0.502040  1.977258  0.711607    1.00      1  \n",
       "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "387 -0.143624  0.013566  0.634203  0.213693  0.773625  0.387434    5.00      1  \n",
-      "388 -0.601295  0.040404  0.995502 -0.273743  1.688136  0.527831   99.99      1  \n",
-      "389  1.136051 -1.043414 -0.108923  0.657437  2.136424 -1.411945    1.00      1  \n",
-      "390 -0.101184 -0.520199 -0.176938  0.461450 -0.106625 -0.479662    0.00      1  \n",
-      "391 -0.041461 -0.215379 -0.865599  0.212545  0.532897  0.357892   18.96      1  \n",
+      "387  0.210747 -0.060211  0.509535 -0.257284  1.170027  0.229301   99.99      1  \n",
+      "388  5.466230  0.023854 -1.527145 -0.145225 -5.682338 -0.439134    0.01      1  \n",
+      "389  5.303607 -0.639435  0.263203 -0.108877  1.269566  0.939407    1.00      1  \n",
+      "390 -0.836982  0.625349  0.125865  0.177624 -0.817680 -0.521030   37.32      1  \n",
+      "391  0.953933 -0.542506 -0.620152  0.406013  0.023025  0.164741   33.59      1  \n",
       "\n",
       "[98 rows x 31 columns]\n",
       "Getting DF from index 392 to 492\n",
-      "         Time         V1         V2         V3        V4         V5        V6  \\\n",
-      "392  148479.0  -1.541678   3.846800  -7.604114  3.121459  -1.254924 -2.084875   \n",
-      "393    6986.0  -4.397974   1.358367  -2.592844  2.679787  -1.128131 -1.706536   \n",
-      "394  135095.0   0.232512   0.938944  -4.647780  3.079844  -1.902655 -1.041408   \n",
-      "395   26523.0 -18.474868  11.586381 -21.402917  6.038515 -14.451158 -4.146524   \n",
-      "396   39729.0  -0.964567  -1.643541  -0.187727  1.158253  -2.458336  0.852222   \n",
-      "..        ...        ...        ...        ...       ...        ...       ...   \n",
-      "485   82289.0  -1.464897   1.975528  -1.077145  2.819191   0.069850 -0.789044   \n",
-      "486  132688.0   0.432554   1.861373  -4.310353  2.448080   4.574094 -2.979912   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024  0.236995   1.087469 -1.235530   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586  3.920748  -1.875486 -2.118933   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823  7.652399  -0.167445 -2.767695   \n",
+      "         Time         V1         V2         V3         V4         V5  \\\n",
+      "392  149236.0  -1.370976  -0.025465  -2.774907   2.650530   4.511309   \n",
+      "393   26585.0 -19.856322  12.095893 -22.464083   6.115541 -15.148022   \n",
+      "394   70828.0   0.196707   1.189757   0.704882   2.891388   0.045555   \n",
+      "395   20451.0 -15.819179   8.775997 -22.804686  11.864868  -9.092361   \n",
+      "396   78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
+      "..        ...        ...        ...        ...        ...        ...   \n",
+      "485   57027.0  -2.335655   2.225380  -3.379450   2.178538  -3.568264   \n",
+      "486   85285.0  -7.030308   3.421991  -9.525072   5.270891  -4.024630   \n",
+      "487   91554.0  -5.100256   3.633442  -3.843919   0.183208  -1.183997   \n",
+      "488   36170.0  -5.685013   5.776516  -7.064977   5.902715  -4.715564   \n",
+      "489   25426.0   1.125336   1.130146  -0.962975   2.675688   0.990075   \n",
       "\n",
-      "            V7         V8        V9  ...       V21       V22       V23  \\\n",
-      "392  -2.385027   1.471140 -2.530507  ...  1.096405  1.064222  0.065370   \n",
-      "393  -3.496197  -0.248778 -0.247768  ...  0.573574  0.176968 -0.436207   \n",
-      "394  -1.020407   0.547069 -1.105990  ...  0.911373  1.042929  0.999394   \n",
-      "395 -14.856124  12.431140 -4.053353  ...  1.741136 -1.251138 -0.396219   \n",
-      "396   2.785163  -0.303609  0.940006  ...  0.447180  0.536204  1.634061   \n",
-      "..         ...        ...       ...  ...       ...       ...       ...   \n",
-      "485  -1.196101   0.673654 -1.363724  ...  0.174099 -0.272505 -0.031549   \n",
-      "486  -2.792379  -2.719867 -0.276704  ... -1.384477 -0.348904 -3.979948   \n",
-      "487  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
-      "488  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001 -0.440387   \n",
-      "489  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913  0.192444   \n",
+      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
+      "392 -3.289344  -0.118841  -0.014279 -0.932773  ... -0.048061 -0.599350   \n",
+      "393 -4.346724 -15.648507  13.276805 -3.974162  ...  1.750730 -1.409636   \n",
+      "394  1.245730  -1.198714  -2.421616 -1.232089  ... -1.328132  0.189311   \n",
+      "395 -2.386893 -16.560368   0.948349 -6.310658  ... -2.350634  1.036362   \n",
+      "396 -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
+      "..        ...        ...        ...       ...  ...       ...       ...   \n",
+      "485  0.316814  -1.734948   1.449139 -1.980033  ...  0.785540  0.297412   \n",
+      "486 -2.865682  -6.989195   3.791551 -4.622730  ...  1.103398 -0.541855   \n",
+      "487  1.602139  -3.005953  -8.645038  1.285458  ...  8.280439 -2.797150   \n",
+      "488 -1.755633  -6.958679   3.877795 -5.541529  ...  1.128641 -0.962960   \n",
+      "489 -0.243318   0.316192   0.122960 -1.143343  ... -0.166737 -0.521934   \n",
       "\n",
-      "          V24       V25       V26       V27       V28  Amount  Class  \n",
-      "392  0.257209 -0.693654 -0.335702  0.577052  0.398348  122.68      1  \n",
-      "393 -0.053502  0.252405 -0.657488 -0.827136  0.849573   59.00      1  \n",
-      "394  0.901260 -0.452093  0.192959  0.180859 -0.029315  345.00      1  \n",
-      "395  0.095706  1.322751 -0.217955  1.628793  0.482248   99.99      1  \n",
-      "396  0.203839  0.218749 -0.221886 -0.308555 -0.164500  776.83      1  \n",
-      "..        ...       ...       ...       ...       ...     ...    ...  \n",
-      "485 -0.406166  0.157769 -0.104393  0.073796 -0.041570    1.00      1  \n",
-      "486 -0.828156 -2.419446 -0.767070  0.387039  0.319402    1.00      1  \n",
-      "487  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
+      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
+      "392  0.072193 -0.600351  0.371331 -0.370951  0.011970  0.145895    1.00      1  \n",
+      "393 -0.809809  0.121397  1.350300 -0.224292  1.597621  0.476920   99.99      1  \n",
+      "394 -0.005524 -0.814708  0.400924  0.286281  0.135215  0.257315    0.76      1  \n",
+      "395  1.136051 -1.043414 -0.108923  0.657437  2.136424 -1.411945    1.00      1  \n",
+      "396 -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
+      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
+      "485  0.308536 -0.598416 -0.121850 -0.491018  0.701606  0.206966  444.17      1  \n",
+      "486  0.036943 -0.355519  0.353634  1.042458  1.359516 -0.272188    0.00      1  \n",
+      "487  1.090707 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.110045 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.112376 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
       "\n",
       "[98 rows x 31 columns]\n"
      ]
@@ -3113,7 +3103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -3122,249 +3112,255 @@
      "text": [
       "82\n",
       "Getting DF from index 0 to 82\n",
-      "        Time         V1        V2         V3        V4         V5        V6  \\\n",
-      "0   129808.0   1.522080 -0.519429  -2.581685  0.774741   0.206722 -1.431020   \n",
-      "1    48884.0  -2.139051  1.394368  -0.612035  1.049327  -1.162102 -0.768219   \n",
-      "2    78725.0  -4.312479  1.886476  -2.338634 -0.475243  -1.185444 -2.112079   \n",
-      "3    41413.0 -15.140450  7.378042 -16.356367  9.194935 -13.466163 -2.958431   \n",
-      "4    41227.0  -9.001351  6.613284 -12.423635  7.519929 -10.266255 -2.113208   \n",
-      "..       ...        ...       ...        ...       ...        ...       ...   \n",
-      "77  102318.0  -1.020632  1.496959  -4.490937  1.836727   0.627318 -2.735569   \n",
-      "78   37167.0  -7.923891 -5.198360  -3.000024  4.420666   2.272194 -3.394483   \n",
-      "79   29753.0   0.269614  3.549755  -5.810353  5.809370   1.538808 -2.269219   \n",
-      "80  125612.0   1.889618  1.073099  -1.678018  4.173268   1.015516 -0.009389   \n",
-      "81  133958.0   0.523820  1.531708  -4.176390  3.584615  -1.023954 -0.502471   \n",
-      "\n",
-      "           V7         V8        V9  ...       V21       V22       V23  \\\n",
-      "0    0.757011  -0.444418  0.997921  ...  0.019649 -0.211678 -0.247452   \n",
-      "1   -1.997237   0.574997 -0.980832  ...  0.696955  0.740003 -0.155115   \n",
-      "2   -2.122793   0.272565  0.290273  ...  0.550541 -0.067870 -1.114692   \n",
-      "3  -16.165539  10.075254 -7.901821  ...  3.147428  0.341678 -1.150162   \n",
-      "4   -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758  0.082594   \n",
-      "..        ...        ...       ...  ...       ...       ...       ...   \n",
-      "77  -1.546274   0.459822 -0.682741  ...  0.773631  0.860618 -0.304666   \n",
-      "78  -5.283435   0.131619  0.658176  ... -0.734308 -0.599926 -4.908301   \n",
-      "79  -0.824203   0.351070 -3.759059  ...  0.371121 -0.322290 -0.549856   \n",
-      "80  -0.079706   0.064071 -0.714517  ...  0.203728  0.733796 -0.036560   \n",
-      "81  -1.891966   0.878417 -1.541942  ...  0.851859  1.176927  0.453553   \n",
+      "        Time         V1         V2        V3        V4        V5        V6  \\\n",
+      "0   154181.0  -0.549615   2.219075 -3.522024  0.236995  1.087469 -1.235530   \n",
+      "1    35866.0  -2.044489   3.368306 -3.937111  5.623120 -3.079232 -1.253474   \n",
+      "2   132086.0  -0.361428   1.133472 -2.971360 -0.283073  0.371452 -0.574680   \n",
+      "3    47982.0  -1.232804   2.244119 -1.703826  1.492536 -1.192985 -1.686110   \n",
+      "4   141925.0   0.120301   1.974141 -0.434087  5.390793  1.289684  0.280590   \n",
+      "..       ...        ...        ...       ...       ...       ...       ...   \n",
+      "77   68207.0 -13.192671  12.785971 -9.906650  3.320337 -4.801176  5.760059   \n",
+      "78   40086.0   1.083693   1.179501 -1.346150  1.998824  0.818034 -0.771419   \n",
+      "79  160665.0  -0.417340   4.700055 -7.521767  7.671884  0.260821 -2.646693   \n",
+      "80   47826.0  -0.887287   1.390002  1.219686  1.661425  1.009228 -0.733908   \n",
+      "81  149640.0   0.754316   2.379822 -5.137274  3.818392  0.043203 -1.285451   \n",
+      "\n",
+      "           V7         V8        V9  ...        V21       V22       V23  \\\n",
+      "0   -0.279313   0.514361 -1.849927  ...   0.364130  0.210428 -0.366019   \n",
+      "1   -5.778880   1.707428 -4.467103  ...   1.483594  0.834311 -0.148486   \n",
+      "2    4.031513  -0.934398 -0.768255  ...   0.110815  0.563861 -0.408436   \n",
+      "3   -1.864612   0.856122 -1.973535  ...   0.560475  0.165682 -0.013754   \n",
+      "4    0.221963   0.067827 -1.387054  ...  -0.038690  0.204554 -0.167313   \n",
+      "..        ...        ...       ...  ...        ...       ...       ...   \n",
+      "77 -18.750889 -37.353443 -0.391540  ...  27.202839 -8.887017  5.303607   \n",
+      "78   0.230307   0.093683 -0.167594  ...  -0.312000 -0.639700 -0.120249   \n",
+      "79  -2.854432   0.958783 -4.588536  ...   0.622200 -0.437708 -0.090358   \n",
+      "80   0.855829   0.000077 -1.275631  ...  -0.083734 -0.346930 -0.050619   \n",
+      "81  -1.766684   0.756711 -1.765722  ...   0.397058  0.141165  0.171985   \n",
       "\n",
       "         V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0  -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1  -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4   0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
+      "0   0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1   0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2  -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3   0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4   0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
       "..       ...       ...       ...       ...       ...     ...    ...  \n",
-      "77 -0.155500  0.412166 -0.220080  0.392338 -0.020089   22.04      1  \n",
-      "78  0.410170 -1.167660  0.520508  1.937421 -1.552593   12.31      1  \n",
-      "79 -0.520629  1.378210  0.564714  0.553255  0.402400    0.68      1  \n",
-      "80  0.334306  0.147171  0.279556  0.031669  0.035883    3.22      1  \n",
-      "81  0.485211 -0.500687 -0.108284  0.269477 -0.063245  130.21      1  \n",
+      "77 -0.639435  0.263203 -0.108877  1.269566  0.939407    1.00      1  \n",
+      "78 -0.180218  0.609283 -0.339524  0.096701  0.114972    1.00      1  \n",
+      "79 -0.742802 -0.312361  0.502575  0.821390  0.372379    0.77      1  \n",
+      "80  0.231044 -0.450760 -0.376205  0.034504  0.157775    7.58      1  \n",
+      "81  0.394274 -0.444642 -0.263189  0.304703 -0.044362    2.00      1  \n",
       "\n",
       "[82 rows x 31 columns]\n",
       "Getting DF from index 82 to 164\n",
-      "         Time         V1         V2         V3        V4         V5        V6  \\\n",
-      "82   116067.0   0.949241   1.333519  -4.855402  1.835006  -1.053245 -2.562826   \n",
-      "83    12095.0  -4.727713   3.044469  -5.598354  5.928191  -2.190770 -1.529323   \n",
-      "84   122608.0  -2.003460  -7.159042  -4.050976  1.309580  -2.058102 -0.098621   \n",
-      "85    43494.0  -1.278138   0.716242  -1.143279  0.217805  -1.293890 -1.168952   \n",
-      "86     7891.0  -1.585505   3.261585  -4.137422  2.357096  -1.405043 -1.879437   \n",
-      "..        ...        ...        ...        ...       ...        ...       ...   \n",
-      "159   55618.0  -7.427924   2.948209  -8.678550  5.185303  -4.761090 -0.957095   \n",
-      "160   94362.0 -26.457745  16.497472 -30.177317  8.904157 -17.892600 -1.227904   \n",
-      "161   34521.0   1.081234   0.416414   0.862919  2.520863  -0.005021  0.563341   \n",
-      "162   76845.0   1.141572   1.291195  -1.432900  2.058202   0.940824 -0.958274   \n",
-      "163   92092.0  -1.108478   3.448953  -6.216972  3.021052  -0.529901 -2.551375   \n",
+      "         Time         V1        V2         V3         V4        V5        V6  \\\n",
+      "82    94952.0   0.842025 -0.365518  -2.464063   4.820886  0.775505 -0.614785   \n",
+      "83    48884.0  -2.139051  1.394368  -0.612035   1.049327 -1.162102 -0.768219   \n",
+      "84   155548.0   1.878230  1.325630  -2.333469   4.233151  1.355184 -0.853508   \n",
+      "85    53727.0  -1.649279  1.263974  -1.050826   2.237991 -2.527889 -0.889940   \n",
+      "86    70071.0  -0.440095  1.137239  -3.227080   3.242293 -2.033998 -1.618415   \n",
+      "..        ...        ...       ...        ...        ...       ...       ...   \n",
+      "159  123078.0  -1.073820  0.415616  -2.273977   1.536844 -0.758697 -1.670381   \n",
+      "160   17230.0  -0.469327  1.111453   2.041003   1.731595  0.135147 -0.093625   \n",
+      "161   43369.0  -3.365319  2.426503  -3.752227   0.276017 -2.305870 -1.961578   \n",
+      "162   93853.0  -6.185857  7.102985 -13.030455   8.010823 -7.885237 -3.974550   \n",
+      "163   21046.0 -16.917468  9.669900 -23.736443  11.824990 -9.830548 -2.514829   \n",
       "\n",
-      "            V7         V8        V9  ...       V21       V22       V23  \\\n",
-      "82   -2.286986   0.260906 -0.895366  ...  0.306598 -0.854627  0.101177   \n",
-      "83   -4.487422   0.916392 -1.307010  ...  0.650988  0.254983  0.628843   \n",
-      "84    2.880083  -0.727484  1.460381  ...  1.244287 -1.015232 -1.800985   \n",
-      "85   -2.564182   0.204532 -1.611155  ...  0.490183  0.470427 -0.126261   \n",
-      "86   -3.513687   1.515607 -1.207166  ...  0.501543 -0.546869 -0.076584   \n",
-      "..         ...        ...       ...  ...       ...       ...       ...   \n",
-      "159  -7.773380   0.717309 -3.682359  ... -0.299847  0.610479  0.789023   \n",
-      "160 -31.197329 -11.438920 -9.462573  ... -8.755698  3.460893  0.896538   \n",
-      "161  -0.123372   0.223122 -0.673598  ... -0.159387 -0.305154  0.053620   \n",
-      "162   0.391154  -0.092519 -0.032829  ... -0.366507 -0.714465 -0.143911   \n",
-      "163  -2.001743   1.092432 -0.836098  ...  0.825951  1.144170  0.208559   \n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "82    1.368024 -0.526262 -0.121356  ... -0.110622 -1.257800 -0.324418   \n",
+      "83   -1.997237  0.574997 -0.980832  ...  0.696955  0.740003 -0.155115   \n",
+      "84    0.716025 -0.164910 -1.502345  ... -0.152131 -0.360736  0.043414   \n",
+      "85   -2.355254  0.854659 -1.281243  ...  0.679176  0.731907  0.333045   \n",
+      "86   -3.028013  0.764555 -1.801937  ...  0.764187 -0.275578 -0.343572   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "159  -2.377140  0.090370  0.004847  ...  0.535542  0.863592  0.450743   \n",
+      "160   0.266155  0.082988  0.580255  ...  0.159387  0.592670 -0.053596   \n",
+      "161  -3.029283 -1.674462  0.183961  ...  2.070008 -0.512626 -0.248502   \n",
+      "162 -12.229608  4.971232 -4.248307  ...  2.502772  0.481691  0.480958   \n",
+      "163 -17.290657  1.820408 -6.264903  ... -2.336111  0.972755  1.241866   \n",
       "\n",
-      "          V24       V25       V26       V27       V28   Amount  Class  \n",
-      "82  -0.281497  0.024444 -0.107944  0.625289  0.315677    65.00      1  \n",
-      "83  -0.238128 -0.671332 -0.033590 -1.331777  0.705698    30.39      1  \n",
-      "84   0.657586 -0.435617 -0.894509 -0.397557  0.314262  2125.87      1  \n",
-      "85  -0.126644 -0.661908 -0.349793  0.454851  0.137843    24.90      1  \n",
-      "86  -0.425550  0.123644  0.321985  0.264028  0.132817     1.00      1  \n",
-      "..        ...       ...       ...       ...       ...      ...    ...  \n",
-      "159 -0.564512  0.201196 -0.111225  1.144599  0.102280   130.44      1  \n",
-      "160  0.254836 -0.738097 -0.966564 -7.263482 -1.324884     1.00      1  \n",
-      "161  0.011761  0.375146 -0.106299  0.021008  0.010559     1.52      1  \n",
-      "162 -0.305178  0.697514 -0.312545  0.106247  0.125060     1.00      1  \n",
-      "163 -0.295497 -0.690232 -0.364749  0.229327  0.208830    18.00      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "82  -0.420020 -0.219501 -0.268873 -0.144582  0.104464  571.48      1  \n",
+      "83  -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
+      "84  -0.242380  0.171098 -0.002601 -0.026667  0.005238    7.06      1  \n",
+      "85   0.392505 -0.274197  0.802349  0.390809  0.112146  112.45      1  \n",
+      "86   0.233085  0.606434 -0.315433  0.768291  0.459623  227.30      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "159 -0.144228 -0.205609 -0.539073  0.503418 -0.237807   11.00      1  \n",
+      "160  0.320748 -0.369121 -0.136605 -0.100845  0.039347    3.93      1  \n",
+      "161  0.126550  0.104166 -1.055997 -1.200165 -1.012066   88.00      1  \n",
+      "162  0.360319 -0.293354 -0.199193 -0.203917  0.398927   44.90      1  \n",
+      "163 -1.051086  0.038009  0.672317  2.108471 -1.421243    1.00      1  \n",
       "\n",
       "[82 rows x 31 columns]\n",
       "Getting DF from index 164 to 246\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "164  144808.0  -2.405207   2.943823  -7.616654   3.533374  -5.417494   \n",
-      "165   41203.0  -8.426814   6.241659  -9.946470   8.199614  -8.213093   \n",
-      "166  110617.0  -1.101035  -1.674928  -0.573388   5.617556   0.765556   \n",
-      "167  152036.0  -4.320609   3.199939  -5.799736   6.502330   0.378479   \n",
-      "168  146022.0   0.908637   2.849024  -5.647343   6.009415   0.216656   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "241   45501.0   1.001992   0.047938  -0.349002   1.493958   0.186939   \n",
-      "242  143456.0  -2.006582   3.676577  -5.463811   7.232058  -1.627859   \n",
-      "243   97235.0 -17.537592  12.352519 -20.134613  11.122771 -14.571080   \n",
-      "244  128471.0   0.909124   1.337658  -4.484728   3.245358  -0.417809   \n",
-      "245   17187.0   1.088375   0.898474   0.394684   3.170258   0.175739   \n",
-      "\n",
-      "           V6         V7        V8        V9  ...       V21       V22  \\\n",
-      "164 -0.112632  -1.329372  1.709417 -2.322716  ...  0.652683  0.414132   \n",
-      "165 -2.522046 -11.643028  5.339500 -7.051016  ...  2.427460  0.692667   \n",
-      "166  0.440607   1.934740 -1.019788 -0.193244  ... -0.412526 -0.208823   \n",
-      "167 -1.948246  -2.167860 -0.728207 -1.977238  ...  0.476660  0.434278   \n",
-      "168 -2.397014  -1.819308  0.338527 -2.819883  ...  0.407260 -0.397435   \n",
-      "..        ...        ...       ...       ...  ...       ...       ...   \n",
-      "241  0.190966  -0.001112  0.147140  0.580415  ... -0.334417 -1.014315   \n",
-      "242 -0.996755  -4.299833  2.268867 -3.651067  ...  0.713907 -0.063868   \n",
-      "243 -0.381622 -23.928661 -4.724921 -8.603038  ... -4.352213  2.389041   \n",
-      "244 -0.762119  -2.506349  0.694164 -0.467556  ...  0.586829  0.594078   \n",
-      "245 -0.221981  -0.022989 -0.010874  0.860044  ... -0.423554 -0.800852   \n",
-      "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "164  0.023869 -0.260616  0.405316  0.029107  0.519807 -0.469537  667.55      1  \n",
-      "165  0.020305  0.499809  0.467594  0.483162  1.195671  0.198294   88.23      1  \n",
-      "166  0.344833  1.091435 -0.686513  0.075809  0.033865 -0.832855  635.10      1  \n",
-      "167 -0.136940 -0.620072  0.642531  0.280717 -2.649107  0.533641    1.00      1  \n",
-      "168 -0.080006 -0.168597  0.465058  0.210510  0.648705  0.360224    1.18      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "241 -0.128427 -0.946242  0.456090 -0.453206  0.046627  0.064698  105.99      1  \n",
-      "242  0.167947 -0.449864  0.023702  0.536905  0.485864 -0.042393    1.00      1  \n",
-      "243  2.019128  0.627192 -1.085997 -0.071803 -3.838198 -0.802564    9.82      1  \n",
-      "244 -0.252120  0.325439  0.562766 -0.256278  0.652674  0.319879   67.90      1  \n",
-      "245  0.077614  0.167608  0.350182 -0.118941  0.012948  0.054254    3.79      1  \n",
-      "\n",
-      "[82 rows x 31 columns]\n",
-      "Getting DF from index 246 to 328\n",
-      "         Time         V1        V2         V3        V4         V5        V6  \\\n",
-      "246   58222.0  -1.322789  1.552768  -2.276921  2.992117  -1.947064 -0.480288   \n",
-      "247  147501.0  -1.611877 -0.408410  -3.829762  6.249462  -3.360922  1.147964   \n",
-      "248   13126.0  -2.880042  5.225442 -11.063330  6.689951  -5.759924 -2.244031   \n",
-      "249   62059.0  -1.644403  3.129852  -2.576977  3.415573  -0.448525 -1.241893   \n",
-      "250  128595.0  -5.313774  2.664274  -4.250707  0.394707  -0.391383  0.683526   \n",
-      "..        ...        ...       ...        ...       ...        ...       ...   \n",
-      "323   11635.0   0.919137  4.199633  -7.535607  7.426940   1.118215 -2.886722   \n",
-      "324  101597.0   0.913116  1.145381  -4.602878  2.091803  -0.473224 -2.085436   \n",
-      "325   34634.0   0.333499  1.699873  -2.596561  3.643945  -0.585068 -0.654659   \n",
-      "326   94141.0 -13.512074  8.215177 -16.582606  6.207369 -11.318472 -2.997207   \n",
-      "327  152710.0   0.051075  1.310427   0.733222  2.620282   1.402358  0.528489   \n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "164   60353.0 -3.975216  0.581573  -1.880372   4.319241 -3.024330  1.240793   \n",
+      "165   85867.0 -3.586964  2.609127  -5.568577   3.631947 -4.543590 -0.157899   \n",
+      "166  139816.0 -0.395582 -0.751792  -1.984666  -0.203459  1.903967 -1.430289   \n",
+      "167  160034.0 -2.349340  1.512604  -2.647497   1.753792  0.406328 -2.188494   \n",
+      "168  152307.0 -5.222968  4.641827  -8.858204   7.723502 -1.507035 -2.159484   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "241   58222.0 -1.322789  1.552768  -2.276921   2.992117 -1.947064 -0.480288   \n",
+      "242  161154.0 -3.387601  3.977881  -6.978585   1.657766 -1.100500 -3.599487   \n",
+      "243   32686.0  0.287953  1.728735  -1.652173   3.813544 -1.090927 -0.984745   \n",
+      "244   93834.0 -3.765680  5.890735 -10.202268  10.259036 -5.611448 -3.235376   \n",
+      "245   85285.0 -7.030308  3.421991  -9.525072   5.270891 -4.024630 -2.865682   \n",
       "\n",
       "            V7        V8        V9  ...       V21       V22       V23  \\\n",
-      "246  -1.362388  0.953242 -2.329629  ...  0.614969 -0.195200  0.590711   \n",
-      "247   1.858425  0.474858 -3.838399  ...  1.245582  0.616383  2.251439   \n",
-      "248 -11.199975  4.014722 -3.429304  ...  2.002883  0.351102  0.795255   \n",
-      "249  -1.991652  1.002665 -2.809071  ...  0.417762 -0.648576 -0.318617   \n",
-      "250  -5.133671 -7.907790  0.215475  ...  8.664662 -2.716383  0.483559   \n",
+      "164  -1.909559  0.660718 -2.752611  ...  0.578984  1.397311  1.045322   \n",
+      "165  -4.089128  2.417305 -3.239901  ...  1.024423  0.428756  0.182032   \n",
+      "166  -0.076548 -0.992260  0.756307  ...  1.377515  2.151787  0.189225   \n",
+      "167  -0.686935 -0.547984 -0.099528  ... -0.088519 -0.595178  0.258148   \n",
+      "168  -4.205164  0.979334 -1.505637  ...  0.561892  0.624207  0.536429   \n",
       "..         ...       ...       ...  ...       ...       ...       ...   \n",
-      "323  -1.341036  0.363933 -2.203224  ...  0.316094  0.055179  0.210692   \n",
-      "324  -1.671244  0.094397  0.337799  ...  0.401416 -0.084933 -0.197684   \n",
-      "325  -2.275789  0.675229 -2.042416  ...  0.469212 -0.144363 -0.317981   \n",
-      "326 -17.640470  0.040349 -5.620232  ... -0.907906  1.514028 -0.141879   \n",
-      "327   1.086014 -0.146423 -1.724333  ...  0.229936  0.766927 -0.189624   \n",
+      "241  -1.362388  0.953242 -2.329629  ...  0.614969 -0.195200  0.590711   \n",
+      "242  -3.686651  1.942252 -3.065089  ...  1.043587  0.262189 -0.479224   \n",
+      "243  -2.202318  0.555088 -2.033892  ...  0.262202 -0.633528  0.092891   \n",
+      "244 -10.632683  3.272716 -5.268905  ...  2.245606  0.546321  0.381853   \n",
+      "245  -6.989195  3.791551 -4.622730  ...  1.103398 -0.541855  0.036943   \n",
       "\n",
       "          V24       V25       V26       V27       V28  Amount  Class  \n",
-      "246 -0.233378 -0.164285 -0.277498  0.428610  0.246394  270.00      1  \n",
-      "247 -0.066096  0.538710  0.541325 -0.136243 -0.009852  996.27      1  \n",
-      "248 -0.778379 -1.646815  0.487539  1.427713  0.583172    1.00      1  \n",
-      "249 -0.680413  0.389869  0.055750  0.394682  0.298821    6.62      1  \n",
-      "250  0.079235  0.311065  0.555544  0.176740  0.362907    1.00      1  \n",
+      "164 -0.304000  0.005295  0.235435  0.962015 -0.673557  454.82      1  \n",
+      "165 -0.534598  0.168933 -0.149844  0.685517 -0.299728  310.42      1  \n",
+      "166  0.772943 -0.872443 -0.200612  0.356856  0.032113    0.69      1  \n",
+      "167  0.061901 -0.354180 -1.152671 -0.736073  0.733703    4.90      1  \n",
+      "168 -0.628334 -0.222651  0.382208 -2.693036  0.407935    1.00      1  \n",
       "..        ...       ...       ...       ...       ...     ...    ...  \n",
-      "323 -0.417918 -0.911188  0.466524  0.627393  0.157851    1.00      1  \n",
-      "324 -0.283271  0.387597 -0.553527  0.516274  0.270828  147.87      1  \n",
-      "325 -0.769644  0.807855  0.228164  0.551002  0.305473   18.96      1  \n",
-      "326  0.789186 -0.031343 -0.255057 -1.865831 -0.442204   45.48      1  \n",
-      "327  0.766853 -0.141401 -0.077278 -0.297595 -0.221816    2.47      1  \n",
+      "241 -0.233378 -0.164285 -0.277498  0.428610  0.246394  270.00      1  \n",
+      "242 -0.326638 -0.156939  0.113807  0.354124  0.287592    0.38      1  \n",
+      "243  0.187613  0.368708 -0.132474  0.576561  0.309843    0.00      1  \n",
+      "244  0.382025 -0.821036  0.394355  1.412961  0.782407    0.01      1  \n",
+      "245 -0.355519  0.353634  1.042458  1.359516 -0.272188    0.00      1  \n",
       "\n",
       "[82 rows x 31 columns]\n",
-      "Getting DF from index 328 to 410\n",
-      "         Time         V1        V2         V3        V4         V5        V6  \\\n",
-      "328  148053.0   1.261324  2.726800  -5.435019  5.342759   1.447043 -1.442584   \n",
-      "329  142961.0   0.457845  1.373769  -0.488926  2.805351   1.777386  0.100492   \n",
-      "330   41305.0 -12.980943  6.720508 -13.455636  8.698610 -11.479552 -2.681519   \n",
-      "331   25426.0   1.125336  1.130146  -0.962975  2.675688   0.990075 -0.243318   \n",
-      "332    7535.0   0.026779  4.132464  -6.560600  6.348557   1.329666 -2.513479   \n",
-      "..        ...        ...       ...        ...       ...        ...       ...   \n",
-      "405  115691.0  -1.550273  1.088689  -2.393388  1.008733  -1.087562 -1.104602   \n",
-      "406  153761.0   1.146259  1.403458  -4.159148  2.660107  -0.323217 -1.836071   \n",
-      "407  129764.0  -2.434004  3.225947  -6.596282  3.593161  -1.079452 -1.739741   \n",
-      "408  146179.0  -0.067672  4.251181  -6.540388  7.283657   0.513541 -2.635066   \n",
-      "409   40742.0  -2.377533  0.520539  -8.094139  8.005351   2.640750 -3.381586   \n",
+      "Getting DF from index 246 to 328\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "         Time         V1        V2         V3         V4         V5        V6  \\\n",
+      "246   18675.0 -12.339603  4.488267 -16.587073  10.107274 -10.420199  0.130670   \n",
+      "247   12597.0  -2.589617  7.016714 -13.705407  10.343228  -2.954461 -3.055116   \n",
+      "248  156710.0   0.202402  1.176270   0.346379   2.882138   1.407133 -0.504355   \n",
+      "249  155554.0  -1.040067  3.106703  -5.409027   3.109903  -0.887237 -2.497522   \n",
+      "250  152710.0   0.051075  1.310427   0.733222   2.620282   1.402358  0.528489   \n",
+      "..        ...        ...       ...        ...        ...        ...       ...   \n",
+      "323   63578.0  -0.639191 -0.085595   1.265452   1.401166  -0.260542  1.009795   \n",
+      "324   55614.0  -7.347955  2.397041  -7.572356   5.177819  -2.854838 -1.795239   \n",
+      "325  155662.0  -1.928613  4.601506  -7.124053   5.716088   1.026579 -3.189073   \n",
+      "326   79540.0  -0.114361  1.036129   1.984405   3.128243  -0.740344  1.548619   \n",
+      "327  132688.0   0.432554  1.861373  -4.310353   2.448080   4.574094 -2.979912   \n",
       "\n",
       "            V7        V8        V9  ...       V21       V22       V23  \\\n",
-      "328  -0.898702  0.123062 -2.748496  ...  0.209086 -0.425938 -0.154440   \n",
-      "329   1.295016 -0.135857 -1.695822  ...  0.105593  0.371014  0.051105   \n",
-      "330 -14.019291  8.218191 -7.930900  ...  2.549628 -0.532228 -0.235096   \n",
-      "331   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
-      "332  -1.689102  0.303253 -3.139409  ...  0.370509 -0.576752 -0.669605   \n",
+      "246 -15.600323 -1.157696 -5.304631  ... -2.089610  1.745315  1.376816   \n",
+      "247  -9.301289  3.349573 -5.654212  ...  1.887738  0.333998  0.287659   \n",
+      "248   1.438537 -0.395603 -1.555142  ...  0.242560  0.841230 -0.370157   \n",
+      "249  -2.073347  0.639818 -3.013331  ...  0.773961  0.214868 -0.184233   \n",
+      "250   1.086014 -0.146423 -1.724333  ...  0.229936  0.766927 -0.189624   \n",
       "..         ...       ...       ...  ...       ...       ...       ...   \n",
-      "405  -2.670503  0.147655 -0.978626  ...  0.802316  1.037105  0.095815   \n",
-      "406  -1.623740  0.259562 -1.132044  ...  0.564450  0.445744 -0.141136   \n",
-      "407  -0.047420  0.301424 -1.779434  ... -0.035491 -0.419178  0.157436   \n",
-      "408  -1.865911  0.780272 -3.868248  ...  0.415437 -0.469938  0.007128   \n",
-      "409  -1.934372  0.562322 -3.104027  ...  0.148284  0.721100  2.661291   \n",
+      "323   1.301999 -0.135258 -0.431521  ...  0.340331  0.760170  0.353377   \n",
+      "324  -8.783235  0.437157 -3.740598  ... -0.175273  0.543325 -0.547955   \n",
+      "325  -2.261897  1.185096 -4.441942  ...  0.602291 -0.541287 -0.354639   \n",
+      "326  -1.701284 -2.203842 -1.242265  ... -1.032935  1.196428 -0.112857   \n",
+      "327  -2.792379 -2.719867 -0.276704  ... -1.384477 -0.348904 -3.979948   \n",
       "\n",
       "          V24       V25       V26       V27       V28  Amount  Class  \n",
-      "328 -0.018820  0.632234  0.192922  0.468181  0.280486    1.59      1  \n",
-      "329  0.401524 -0.724766 -0.202881  0.092124  0.094956    0.00      1  \n",
-      "330  0.673209  0.226598 -0.006168 -1.185696 -0.747361   59.68      1  \n",
-      "331 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
-      "332 -0.759908  1.605056  0.540675  0.737040  0.496699    1.00      1  \n",
+      "246 -0.554271 -1.610741  0.153725  1.212477 -1.869290  188.78      1  \n",
+      "247 -1.186406 -0.690273  0.631704  1.934221  0.789687    1.00      1  \n",
+      "248 -0.026012  0.491954  0.234576 -0.279788 -0.331933    7.59      1  \n",
+      "249 -0.284091  0.493467  0.732329  0.675067  0.337076   94.82      1  \n",
+      "250  0.766853 -0.141401 -0.077278 -0.297595 -0.221816    2.47      1  \n",
       "..        ...       ...       ...       ...       ...     ...    ...  \n",
-      "405 -0.320191 -0.080731  0.091012  0.024928 -0.077820   17.06      1  \n",
-      "406 -0.265517  0.362260 -0.416062  0.507370  0.243744   51.37      1  \n",
-      "407 -0.714849  0.468859 -0.348522  0.420036 -0.327643  362.55      1  \n",
-      "408 -0.388147 -0.493398  0.466468  0.566370  0.262990    0.77      1  \n",
-      "409 -0.508620 -0.401657  0.587611  0.500326  0.551760    1.00      1  \n",
+      "323 -0.778893 -0.070681 -0.033355 -0.061962 -0.062687  290.18      1  \n",
+      "324 -0.503722 -0.310933 -0.163986  1.197895  0.378187    0.83      1  \n",
+      "325 -0.701492 -0.030973  0.034070  0.573393  0.294686    0.77      1  \n",
+      "326  0.254719  0.696668  0.482370  0.129969  0.223924    0.20      1  \n",
+      "327 -0.828156 -2.419446 -0.767070  0.387039  0.319402    1.00      1  \n",
+      "\n",
+      "[82 rows x 31 columns]\n",
+      "Getting DF from index 328 to 410\n",
+      "         Time         V1         V2         V3         V4         V5  \\\n",
+      "328   59669.0   0.326007   1.286638  -2.007181   2.419675  -1.532902   \n",
+      "329   46925.0  -0.481531   1.059542   0.647117   0.905586   0.819368   \n",
+      "330  123525.0  -5.904921   4.439911  -8.631802   7.788684  -4.989580   \n",
+      "331  102669.0  -5.603690   5.222193  -7.516830   8.117724  -2.756858   \n",
+      "332   68207.0 -13.192671  12.785971  -9.906650   3.320337  -4.801176   \n",
+      "..        ...        ...        ...        ...        ...        ...   \n",
+      "405  160537.0   0.567539   3.309385  -6.631268   6.394574  -0.054172   \n",
+      "406   27163.0 -23.914101  13.765942 -25.733734   6.290918 -17.784824   \n",
+      "407   35585.0  -2.019001   1.491270   0.005222   0.817253   0.973252   \n",
+      "408  101313.0 -25.825982  19.167239 -25.390229  11.125435 -16.682644   \n",
+      "409   93860.0 -10.632375   7.251936 -17.681072   8.204144 -10.166591   \n",
+      "\n",
+      "           V6         V7         V8         V9  ...        V21       V22  \\\n",
+      "328 -1.432803  -2.459530   0.617738  -1.125861  ...   0.556895  0.169776   \n",
+      "329 -0.091184   0.504135   0.161064  -0.765054  ...   0.070633  0.192491   \n",
+      "330 -1.200144  -7.674060   4.125761  -5.315778  ...   1.775030  1.266441   \n",
+      "331 -1.574565  -6.330343   2.998419  -4.508167  ...   1.242896  0.428408   \n",
+      "332  5.760059 -18.750889 -37.353443  -0.391540  ...  27.202839 -8.887017   \n",
+      "..        ...        ...        ...        ...  ...        ...       ...   \n",
+      "405 -2.396535  -2.792489   0.514811  -3.541780  ...   0.614221 -0.365047   \n",
+      "406 -4.572498 -17.390764  15.794136  -3.819832  ...   1.773399 -1.748426   \n",
+      "407 -0.639268  -0.974073  -3.146929  -0.003159  ...   2.839596 -1.185443   \n",
+      "408  3.933699 -37.060311 -28.759799 -11.126624  ... -16.922016  5.703684   \n",
+      "409 -4.510344 -12.981606   6.783589  -4.659330  ...   2.715357  0.695603   \n",
+      "\n",
+      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
+      "328 -0.174357  0.308061  0.710996 -0.231030  0.580495  0.300984    6.27      1  \n",
+      "329 -0.174659 -0.438908  0.239259 -0.217823 -0.072852  0.010463    1.00      1  \n",
+      "330 -0.199410  0.014960 -0.000019  0.544210 -1.167566 -1.206354   45.51      1  \n",
+      "331 -0.101184 -0.520199 -0.176938  0.461450 -0.106625 -0.479662    0.00      1  \n",
+      "332  5.303607 -0.639435  0.263203 -0.108877  1.269566  0.939407    1.00      1  \n",
+      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
+      "405 -0.180409 -0.523271  0.645054  0.246466  0.902675  0.473571    4.69      1  \n",
+      "406 -1.093104  0.147807  1.663792 -0.221024  1.458076  0.430315   99.99      1  \n",
+      "407 -0.142812 -0.086103 -0.329113  0.523601  0.626283  0.152440    0.76      1  \n",
+      "408  3.510019  0.054330 -0.671983 -0.209431 -4.950022 -0.448413    2.28      1  \n",
+      "409 -1.138122  0.459442  0.386337  0.522438 -1.416604 -0.488307  188.52      1  \n",
       "\n",
       "[82 rows x 31 columns]\n",
       "Getting DF from index 410 to 492\n",
       "         Time         V1         V2         V3         V4         V5  \\\n",
-      "410   93897.0 -10.300820   6.483095 -15.076363   6.554191  -8.880252   \n",
-      "411   27784.0   0.288029   0.965681  -1.459495   1.921863  -1.912414   \n",
-      "412   93904.0 -11.320633   7.191950 -13.179083   9.099552 -10.094749   \n",
-      "413   91554.0  -5.100256   3.633442  -3.843919   0.183208  -1.183997   \n",
-      "414   68207.0 -13.192671  12.785971  -9.906650   3.320337  -4.801176   \n",
+      "410   87202.0  -0.419820  -1.155978  -2.092516   2.786750   0.736297   \n",
+      "411  125200.0  -0.769172   1.342212  -2.171454  -0.151513  -0.648374   \n",
+      "412     472.0  -3.043541  -3.157307   1.088463   2.288644   1.359805   \n",
+      "413   25198.0 -15.903635  10.393917 -19.133602   6.185969 -12.538021   \n",
+      "414   12093.0  -4.696795   2.693867  -4.475133   5.467685  -1.556758   \n",
       "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
-      "\n",
-      "           V6         V7         V8        V9  ...        V21       V22  \\\n",
-      "410 -4.471672 -14.900689   3.840170 -4.358441  ...   1.508748  1.041642   \n",
-      "411 -1.130282  -2.814263   0.648663 -0.695263  ...   0.603127  0.380690   \n",
-      "412 -2.440115 -14.184337   4.452503 -6.241960  ...   1.082235 -0.350563   \n",
-      "413  1.602139  -3.005953  -8.645038  1.285458  ...   8.280439 -2.797150   \n",
-      "414  5.760059 -18.750889 -37.353443 -0.391540  ...  27.202839 -8.887017   \n",
-      "..        ...        ...        ...       ...  ...        ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...   0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...   0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...   0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...   1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ...  -2.475962  0.342391   \n",
+      "487   91554.0  -5.100256   3.633442  -3.843919   0.183208  -1.183997   \n",
+      "488   36170.0  -5.685013   5.776516  -7.064977   5.902715  -4.715564   \n",
+      "489   25426.0   1.125336   1.130146  -0.962975   2.675688   0.990075   \n",
+      "490   11092.0   0.378275   3.914797  -5.726872   6.094141   1.698875   \n",
+      "491   14152.0  -4.710529   8.636214 -15.496222  10.313349  -4.351341   \n",
+      "\n",
+      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
+      "410 -0.167292   1.600027  -0.117427 -0.796954  ...  0.480640  0.533517   \n",
+      "411 -0.973504  -1.706658   0.313745 -1.982302  ... -0.036122 -0.753591   \n",
+      "412 -1.064823   0.325574  -0.067794 -0.270953  ...  0.661696  0.435477   \n",
+      "413 -4.027030 -13.897827  10.662252 -2.844954  ...  1.577548 -1.280137   \n",
+      "414 -1.549420  -4.104215   0.553934 -1.498468  ...  0.573898 -0.080163   \n",
+      "..        ...        ...        ...       ...  ...       ...       ...   \n",
+      "487  1.602139  -3.005953  -8.645038  1.285458  ...  8.280439 -2.797150   \n",
+      "488 -1.755633  -6.958679   3.877795 -5.541529  ...  1.128641 -0.962960   \n",
+      "489 -0.243318   0.316192   0.122960 -1.143343  ... -0.166737 -0.521934   \n",
+      "490 -2.807314  -0.591118  -0.123496 -2.530713  ...  0.149896 -0.601967   \n",
+      "491 -3.322689 -10.788373   5.060381 -5.689311  ...  1.990545  0.223785   \n",
       "\n",
       "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "410 -0.682790  0.573544 -1.602389 -0.393521 -0.468893  0.105920    1.00      1  \n",
-      "411 -0.064125  0.271380  0.337220  0.626156  0.565125  0.305925   23.36      1  \n",
-      "412  0.483044  0.661133 -0.396522 -0.413315 -0.997548 -0.235036   37.93      1  \n",
-      "413  1.090707 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
-      "414  5.303607 -0.639435  0.263203 -0.108877  1.269566  0.939407    1.00      1  \n",
+      "410  1.284645  0.516131 -0.602941 -0.305024 -0.021363  0.129096  451.27      1  \n",
+      "411 -0.047113  0.358493 -0.287407  0.476506  0.250531  0.250987   40.00      1  \n",
+      "412  1.375966 -0.293803  0.279798 -0.145362 -0.252773  0.035764  529.00      1  \n",
+      "413 -0.601295  0.040404  0.995502 -0.273743  1.688136  0.527831   99.99      1  \n",
+      "414  0.318408 -0.245862  0.338238  0.032271 -1.508458  0.608075    0.00      1  \n",
       "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "487  1.090707 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.110045 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.112376 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.613724 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491  0.554408 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n",
       "[82 rows x 31 columns]\n"
      ]
@@ -3406,7 +3402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {
     "scrolled": true
    },
@@ -3418,441 +3414,447 @@
       "98\n",
       "Getting TEST DF from index 0 to 98\n",
       "        Time         V1        V2         V3        V4         V5        V6  \\\n",
-      "0   129808.0   1.522080 -0.519429  -2.581685  0.774741   0.206722 -1.431020   \n",
-      "1    48884.0  -2.139051  1.394368  -0.612035  1.049327  -1.162102 -0.768219   \n",
-      "2    78725.0  -4.312479  1.886476  -2.338634 -0.475243  -1.185444 -2.112079   \n",
-      "3    41413.0 -15.140450  7.378042 -16.356367  9.194935 -13.466163 -2.958431   \n",
-      "4    41227.0  -9.001351  6.613284 -12.423635  7.519929 -10.266255 -2.113208   \n",
+      "0   154181.0  -0.549615  2.219075  -3.522024  0.236995   1.087469 -1.235530   \n",
+      "1    35866.0  -2.044489  3.368306  -3.937111  5.623120  -3.079232 -1.253474   \n",
+      "2   132086.0  -0.361428  1.133472  -2.971360 -0.283073   0.371452 -0.574680   \n",
+      "3    47982.0  -1.232804  2.244119  -1.703826  1.492536  -1.192985 -1.686110   \n",
+      "4   141925.0   0.120301  1.974141  -0.434087  5.390793   1.289684  0.280590   \n",
       "..       ...        ...       ...        ...       ...        ...       ...   \n",
-      "93   42985.0  -4.075975  0.963031  -5.076070  4.955963  -0.161437 -2.832663   \n",
-      "94   64785.0  -8.744415 -3.420468  -4.850575  6.606846  -2.800546  0.105512   \n",
-      "95   93860.0 -10.850282  6.727466 -16.760583  8.425832 -10.252697 -4.192171   \n",
-      "96   88672.0  -3.859881  2.632881  -5.264265  3.446113  -0.675231 -1.904959   \n",
-      "97   50808.0  -9.169790  7.092197 -12.354037  4.243069  -7.176438 -3.386618   \n",
-      "\n",
-      "           V7         V8        V9  ...       V21       V22       V23  \\\n",
-      "0    0.757011  -0.444418  0.997921  ...  0.019649 -0.211678 -0.247452   \n",
-      "1   -1.997237   0.574997 -0.980832  ...  0.696955  0.740003 -0.155115   \n",
-      "2   -2.122793   0.272565  0.290273  ...  0.550541 -0.067870 -1.114692   \n",
-      "3  -16.165539  10.075254 -7.901821  ...  3.147428  0.341678 -1.150162   \n",
-      "4   -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758  0.082594   \n",
-      "..        ...        ...       ...  ...       ...       ...       ...   \n",
-      "93  -7.619765   1.618895 -2.992092  ...  1.030738  0.165328 -1.017502   \n",
-      "94  -3.269801   0.940378 -2.558691  ...  0.102913  0.311626 -4.129195   \n",
-      "95 -14.077086   7.168288 -3.683242  ...  2.541637  0.135535 -1.023967   \n",
-      "96  -3.291041  -0.985766 -1.168114  ...  1.664119  0.785075  0.068412   \n",
-      "97  -8.058012   6.442909 -2.412987  ...  0.926157 -0.817706 -0.150434   \n",
+      "93   41237.0 -10.281784  6.302385 -13.271718  8.925115  -9.975578 -2.832513   \n",
+      "94   41243.0 -10.940739  6.261586 -14.182339  7.183602  -9.951363 -3.860820   \n",
+      "95   71033.0  -3.170818  0.185735  -3.399852  3.761155  -2.148047 -1.598944   \n",
+      "96   17838.0  -5.187878  6.967709 -13.510931  8.617895 -11.214422  0.672248   \n",
+      "97    8408.0  -1.813280  4.917851  -5.926130  5.701500   1.204393 -3.035138   \n",
+      "\n",
+      "           V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0   -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1   -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2    4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3   -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4    0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..        ...       ...       ...  ...       ...       ...       ...   \n",
+      "93 -12.703253  6.706846 -7.078424  ...  2.479414  0.366933  0.042805   \n",
+      "94 -13.547302  7.096472 -6.294029  ...  2.267448 -0.492029 -0.239303   \n",
+      "95  -2.519565  1.316215 -2.400106  ...  1.092051 -0.041080  0.904395   \n",
+      "96  -9.462533  5.328704 -4.897006  ...  2.086083  0.760190  0.716806   \n",
+      "97  -1.713402  0.561257 -3.796354  ...  0.615642 -0.406427 -0.737018   \n",
       "\n",
       "         V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0  -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1  -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4   0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
+      "0   0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1   0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2  -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3   0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4   0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
       "..       ...       ...       ...       ...       ...     ...    ...  \n",
-      "93 -0.477983 -0.304987 -0.106089  1.899714  0.511462    1.00      1  \n",
-      "94  0.034639 -1.133631  0.272265  1.841307 -1.796363  720.38      1  \n",
-      "95  0.406265  0.106593 -0.026232 -1.464630 -0.411682   78.00      1  \n",
-      "96  0.778961 -0.863166 -0.006810 -1.065734  1.773326    1.18      1  \n",
-      "97 -0.039383  0.485640 -0.264325  1.159690  0.232758   99.99      1  \n",
+      "93  0.478279  0.157771  0.329901  0.163504 -0.485552  118.30      1  \n",
+      "94  0.454368 -0.101611  0.446997  0.062293 -0.439770   45.49      1  \n",
+      "95  0.180016  0.049970 -0.257100  0.859282  0.225924  426.40      1  \n",
+      "96 -0.646743 -1.617043  0.172347  0.626647 -0.169726  766.36      1  \n",
+      "97 -0.279642  1.106766  0.323885  0.894767  0.569519    1.00      1  \n",
       "\n",
       "[98 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TRAIN DF from index 0 to 0 and from index 98 to 492\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "98    69394.0   1.140431   1.134243  -1.429455   2.012226   0.622800   \n",
-      "99   165981.0  -5.766879  -8.402154   0.056543   6.950983   9.880564   \n",
-      "100   92102.0  -1.662937   3.253892  -7.040485   2.266456  -4.177649   \n",
-      "101   91075.0  -1.855061   1.554964  -1.405809   0.669327  -0.280230   \n",
-      "102   75556.0  -0.734303   0.435519  -0.530866  -0.471120   0.643214   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "98     8808.0 -4.617217  1.695694  -3.114372   4.328199 -1.873257 -0.989908   \n",
+      "99   146179.0 -0.067672  4.251181  -6.540388   7.283657  0.513541 -2.635066   \n",
+      "100  133731.0  1.176633  3.141918  -6.140445   5.521821  1.768515 -1.727186   \n",
+      "101  133958.0  0.523820  1.531708  -4.176390   3.584615 -1.023954 -0.502471   \n",
+      "102  158638.0 -5.976119 -7.196980  -5.388316   5.104799  4.676533 -5.566870   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "98  -1.152923   0.221159   0.037372  0.034486  ... -0.367136 -0.891627   \n",
-      "99  -5.773192  -5.748879   0.721743 -1.076274  ...  0.880395 -0.130436   \n",
-      "100 -0.746925  -0.248337   1.091157 -0.307137  ...  0.450381  0.521162   \n",
-      "101  1.178652  -3.459979  -2.815155  1.242229  ... -0.095308  0.946629   \n",
-      "102  0.713832  -1.234572  -2.551412 -2.057724  ... -1.004877  1.150354   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "98   -4.577265  0.472216  0.472017  ...  0.481830  0.146023  0.117039   \n",
+      "99   -1.865911  0.780272 -3.868248  ...  0.415437 -0.469938  0.007128   \n",
+      "100  -0.932429  0.292797 -3.156827  ...  0.129372 -0.803021 -0.074098   \n",
+      "101  -1.891966  0.878417 -1.541942  ...  0.851859  1.176927  0.453553   \n",
+      "102  -4.291180  0.876531 -1.075478  ...  1.459369 -0.136262  0.848177   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "98  -0.160578 -0.108326  0.668374 -0.352393  0.071993  0.113684    1.00      1  \n",
-      "99   2.241471  0.665346 -1.890041 -0.120803  0.073269  0.583799    0.00      1  \n",
-      "100  0.308325 -0.318012 -1.255362 -0.691963  0.264878 -0.130445  600.73      1  \n",
-      "101 -0.297403 -0.368344  0.198731 -0.078591  0.366709  0.073767   38.76      1  \n",
-      "102 -0.152555 -1.386745  0.004716  0.219146 -0.058257  0.158048   29.95      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "98  -0.217565 -0.138776 -0.424453 -1.002041  0.890780    1.10      1  \n",
+      "99  -0.388147 -0.493398  0.466468  0.566370  0.262990    0.77      1  \n",
+      "100 -0.031084  0.375366  0.065897  0.488258  0.325872    0.00      1  \n",
+      "101  0.485211 -0.500687 -0.108284  0.269477 -0.063245  130.21      1  \n",
+      "102 -0.269916 -1.095060 -0.710905  0.565846 -1.034107  296.00      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n",
       "[394 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TEST DF from index 98 to 196\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "98    69394.0   1.140431   1.134243  -1.429455   2.012226   0.622800   \n",
-      "99   165981.0  -5.766879  -8.402154   0.056543   6.950983   9.880564   \n",
-      "100   92102.0  -1.662937   3.253892  -7.040485   2.266456  -4.177649   \n",
-      "101   91075.0  -1.855061   1.554964  -1.405809   0.669327  -0.280230   \n",
-      "102   75556.0  -0.734303   0.435519  -0.530866  -0.471120   0.643214   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "191  148468.0   0.218810   2.715855  -5.111658   6.310661  -0.848345   \n",
-      "192   95628.0 -17.518909  12.572118 -19.038538  11.190895 -13.554721   \n",
-      "193  154493.0  -7.381547  -7.449015  -4.696287   3.728439   6.198304   \n",
-      "194   53031.0   0.206075   1.387360  -1.045287   4.228686  -1.647549   \n",
-      "195   59777.0  -8.257111  -4.814461  -5.365307   1.204230  -3.347420   \n",
-      "\n",
-      "           V6         V7        V8        V9  ...       V21       V22  \\\n",
-      "98  -1.152923   0.221159  0.037372  0.034486  ... -0.367136 -0.891627   \n",
-      "99  -5.773192  -5.748879  0.721743 -1.076274  ...  0.880395 -0.130436   \n",
-      "100 -0.746925  -0.248337  1.091157 -0.307137  ...  0.450381  0.521162   \n",
-      "101  1.178652  -3.459979 -2.815155  1.242229  ... -0.095308  0.946629   \n",
-      "102  0.713832  -1.234572 -2.551412 -2.057724  ... -1.004877  1.150354   \n",
-      "..        ...        ...       ...       ...  ...       ...       ...   \n",
-      "191 -0.882446  -2.902079  0.939162 -3.627698  ...  1.083640  1.037324   \n",
-      "192 -0.411924 -23.189397 -5.301412 -8.630390  ... -4.969478  0.976125   \n",
-      "193 -6.406267  -5.831452  1.457175 -0.646203  ...  1.176575 -0.978692   \n",
-      "194 -0.180897  -2.943678  0.859156 -1.181743  ...  0.469199  0.344930   \n",
-      "195 -1.331601  -1.967893  1.295438 -1.674415  ...  0.436390 -0.077553   \n",
-      "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "98  -0.160578 -0.108326  0.668374 -0.352393  0.071993  0.113684    1.00      1  \n",
-      "99   2.241471  0.665346 -1.890041 -0.120803  0.073269  0.583799    0.00      1  \n",
-      "100  0.308325 -0.318012 -1.255362 -0.691963  0.264878 -0.130445  600.73      1  \n",
-      "101 -0.297403 -0.368344  0.198731 -0.078591  0.366709  0.073767   38.76      1  \n",
-      "102 -0.152555 -1.386745  0.004716  0.219146 -0.058257  0.158048   29.95      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "191  0.062325  0.532490 -0.149145  0.639580  0.351568 -0.001817    0.76      1  \n",
-      "192  1.841248  0.334418 -0.720128 -0.232603 -3.021992 -0.478158    1.63      1  \n",
-      "193 -0.278330 -0.635874  0.123539  0.404729  0.704915 -1.229992   35.00      1  \n",
-      "194 -0.203799  0.376640  0.715485  0.226003  0.628545  0.319918    0.76      1  \n",
-      "195 -3.091624 -0.390201 -0.288689 -0.340004  0.039819 -1.007900  319.20      1  \n",
-      "\n",
-      "[98 rows x 31 columns]\n",
+      "         Time         V1         V2         V3        V4         V5        V6  \\\n",
+      "98     8808.0  -4.617217   1.695694  -3.114372  4.328199  -1.873257 -0.989908   \n",
+      "99   146179.0  -0.067672   4.251181  -6.540388  7.283657   0.513541 -2.635066   \n",
+      "100  133731.0   1.176633   3.141918  -6.140445  5.521821   1.768515 -1.727186   \n",
+      "101  133958.0   0.523820   1.531708  -4.176390  3.584615  -1.023954 -0.502471   \n",
+      "102  158638.0  -5.976119  -7.196980  -5.388316  5.104799   4.676533 -5.566870   \n",
+      "..        ...        ...        ...        ...       ...        ...       ...   \n",
+      "191   26556.0 -19.179826  11.817922 -21.919174  6.086236 -14.708845 -4.308888   \n",
+      "192   46149.0  -1.346509   2.132431  -1.854355  2.116998  -1.070378 -1.092671   \n",
+      "193  146026.0   1.894036   1.905806  -3.515730  4.508913   2.044466 -1.420468   \n",
+      "194   30852.0  -2.830984   0.885657   1.199930  2.861292   0.321669  0.289966   \n",
+      "195  100298.0 -22.341889  15.536133 -22.865228  7.043374 -14.183129 -0.463145   \n",
       "\n",
+      "            V7         V8        V9  ...       V21       V22       V23  \\\n",
+      "98   -4.577265   0.472216  0.472017  ...  0.481830  0.146023  0.117039   \n",
+      "99   -1.865911   0.780272 -3.868248  ...  0.415437 -0.469938  0.007128   \n",
+      "100  -0.932429   0.292797 -3.156827  ...  0.129372 -0.803021 -0.074098   \n",
+      "101  -1.891966   0.878417 -1.541942  ...  0.851859  1.176927  0.453553   \n",
+      "102  -4.291180   0.876531 -1.075478  ...  1.459369 -0.136262  0.848177   \n",
+      "..         ...        ...       ...  ...       ...       ...       ...   \n",
+      "191 -15.357952  12.857165 -3.999861  ...  1.746802 -1.353149 -0.762965   \n",
+      "192  -2.230986   1.036425 -1.895516  ...  0.609508  0.202874 -0.060791   \n",
+      "193   1.057480  -0.281157 -1.832604  ... -0.144713 -0.310108 -0.101530   \n",
+      "194   1.767760  -2.451050  0.069736  ...  0.546589  0.334971  0.172106   \n",
+      "195 -28.215112 -14.607791 -9.481456  ... -9.110423  4.158895  1.412928   \n",
       "\n",
-      "Getting TRAIN DF from index 0 to 98 and from index 196 to 492\n"
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "98  -0.217565 -0.138776 -0.424453 -1.002041  0.890780    1.10      1  \n",
+      "99  -0.388147 -0.493398  0.466468  0.566370  0.262990    0.77      1  \n",
+      "100 -0.031084  0.375366  0.065897  0.488258  0.325872    0.00      1  \n",
+      "101  0.485211 -0.500687 -0.108284  0.269477 -0.063245  130.21      1  \n",
+      "102 -0.269916 -1.095060 -0.710905  0.565846 -1.034107  296.00      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "191  0.117028  1.297994 -0.224825  1.621052  0.484614   99.99      1  \n",
+      "192 -0.186733 -0.017401 -0.283751  0.395451  0.233139    1.00      1  \n",
+      "193 -0.414960  0.376597  0.150778 -0.013712  0.048084    2.22      1  \n",
+      "194  0.623590 -0.527114 -0.079215 -2.532445  0.311177  104.81      1  \n",
+      "195  0.382801  0.447154 -0.632816 -4.380154 -0.467863    1.00      1  \n",
+      "\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "[98 rows x 31 columns]\n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "Getting TRAIN DF from index 0 to 98 and from index 196 to 492\n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "0    154181.0 -0.549615  2.219075  -3.522024   0.236995  1.087469 -1.235530   \n",
+      "1     35866.0 -2.044489  3.368306  -3.937111   5.623120 -3.079232 -1.253474   \n",
+      "2    132086.0 -0.361428  1.133472  -2.971360  -0.283073  0.371452 -0.574680   \n",
+      "3     47982.0 -1.232804  2.244119  -1.703826   1.492536 -1.192985 -1.686110   \n",
+      "4    141925.0  0.120301  1.974141  -0.434087   5.390793  1.289684  0.280590   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
+      "\n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0    -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1    -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2     4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3    -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4     0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
+      "\n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "0    0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1    0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2   -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3    0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4    0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n",
       "[394 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TEST DF from index 196 to 294\n",
-      "         Time         V1        V2         V3        V4         V5        V6  \\\n",
-      "196   17838.0  -5.187878  6.967709 -13.510931  8.617895 -11.214422  0.672248   \n",
-      "197  142394.0  -3.367770  0.099249  -6.148487  3.401955   0.458307 -1.571630   \n",
-      "198   32745.0  -2.179135  0.020218  -2.182733  2.572046  -3.663733  0.081568   \n",
-      "199  160537.0   0.567539  3.309385  -6.631268  6.394574  -0.054172 -2.396535   \n",
-      "200  149236.0  -1.370976 -0.025465  -2.774907  2.650530   4.511309 -3.289344   \n",
-      "..        ...        ...       ...        ...       ...        ...       ...   \n",
-      "289  151916.0  -5.488032  3.329561  -5.996296  3.601720  -2.023926 -1.737393   \n",
-      "290   41607.0 -18.247513  8.713250 -17.880127  9.249459 -14.541213 -1.911564   \n",
-      "291  126219.0  -1.141559  1.927650  -3.905356 -0.073943  -0.044858 -1.756999   \n",
-      "292   42474.0  -3.843009  3.375110  -5.492893  6.136378   2.797195 -2.646162   \n",
-      "293   84204.0  -1.927453  1.827621  -7.019495  5.348303  -2.739188 -2.107219   \n",
+      "         Time         V1         V2         V3        V4         V5        V6  \\\n",
+      "196  129308.0   0.054682   1.856500  -4.075451  4.100098  -0.800931 -0.292502   \n",
+      "197   73408.0  -2.869795   1.335667  -1.009530  1.693885  -0.741480 -0.796773   \n",
+      "198   13126.0  -2.880042   5.225442 -11.063330  6.689951  -5.759924 -2.244031   \n",
+      "199  148053.0   1.261324   2.726800  -5.435019  5.342759   1.447043 -1.442584   \n",
+      "200   41413.0 -15.140450   7.378042 -16.356367  9.194935 -13.466163 -2.958431   \n",
+      "..        ...        ...        ...        ...       ...        ...       ...   \n",
+      "289   28658.0 -28.524268  15.876923 -29.468732  6.447591 -20.786000 -4.865613   \n",
+      "290   45501.0   1.001992   0.047938  -0.349002  1.493958   0.186939  0.190966   \n",
+      "291    9064.0  -3.499108   0.258555  -4.489558  4.853894  -6.974522  3.628382   \n",
+      "292  135095.0   0.232512   0.938944  -4.647780  3.079844  -1.902655 -1.041408   \n",
+      "293  129741.0  -1.396204   2.618584  -6.036770  3.552454   1.030091 -2.950358   \n",
       "\n",
-      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
-      "196  -9.462533  5.328704 -4.897006  ...  2.086083  0.760190  0.716806   \n",
-      "197  -1.358708  0.672409 -3.188001  ...  0.861308  1.249301  1.850627   \n",
-      "198   0.268049  0.660437 -2.374027  ...  1.026421  0.299614  1.656800   \n",
-      "199  -2.792489  0.514811 -3.541780  ...  0.614221 -0.365047 -0.180409   \n",
-      "200  -0.118841 -0.014279 -0.932773  ... -0.048061 -0.599350  0.072193   \n",
-      "..         ...       ...       ...  ...       ...       ...       ...   \n",
-      "289  -4.396859  0.228394 -1.675884  ...  1.719631  0.343209  0.133584   \n",
-      "290 -18.014660  5.522162 -9.283925  ...  0.598843  0.615319 -0.486499   \n",
-      "291  -1.217416  0.364563 -2.770148  ...  0.102081 -0.531496 -0.328741   \n",
-      "292  -1.668931 -2.617552 -3.945843  ... -1.277812  0.719652  0.451125   \n",
-      "293  -5.015848  1.205868 -4.382713  ...  1.376938 -0.792017 -0.771414   \n",
+      "            V7         V8        V9  ...       V21       V22       V23  \\\n",
+      "196  -2.317431   1.189747 -0.786238  ...  0.618248  0.800932  0.130016   \n",
+      "197  -2.614242   1.066636 -1.135497  ...  0.528421  0.228027 -0.749298   \n",
+      "198 -11.199975   4.014722 -3.429304  ...  2.002883  0.351102  0.795255   \n",
+      "199  -0.898702   0.123062 -2.748496  ...  0.209086 -0.425938 -0.154440   \n",
+      "200 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678 -1.150162   \n",
+      "..         ...        ...       ...  ...       ...       ...       ...   \n",
+      "289 -19.501084  18.748872 -3.642990  ...  1.805770 -2.119376 -1.317450   \n",
+      "290  -0.001112   0.147140  0.580415  ... -0.334417 -1.014315 -0.128427   \n",
+      "291   5.431271  -1.946734 -0.775680  ... -1.052368  0.204817 -2.119007   \n",
+      "292  -1.020407   0.547069 -1.105990  ...  0.911373  1.042929  0.999394   \n",
+      "293  -1.528506   0.189319 -1.433554  ...  0.143177 -0.390176  0.356029   \n",
       "\n",
-      "          V24       V25       V26       V27       V28  Amount  Class  \n",
-      "196 -0.646743 -1.617043  0.172347  0.626647 -0.169726  766.36      1  \n",
-      "197 -0.117471  1.219815  0.000251  1.036011  0.004367  320.01      1  \n",
-      "198  0.328433  0.106457  0.691775  0.196779  0.241085  717.15      1  \n",
-      "199 -0.523271  0.645054  0.246466  0.902675  0.473571    4.69      1  \n",
-      "200 -0.600351  0.371331 -0.370951  0.011970  0.145895    1.00      1  \n",
-      "..        ...       ...       ...       ...       ...     ...    ...  \n",
-      "289  0.833340 -0.839776  0.502010 -1.937473  1.521218    0.01      1  \n",
-      "290  0.739268 -0.236845 -0.046082 -3.011473 -1.022147   53.95      1  \n",
-      "291  0.393100  0.568435  0.786605 -0.146102  0.076211   25.00      1  \n",
-      "292 -0.258094  0.656129  0.556676  0.739383 -0.203050    1.00      1  \n",
-      "293 -0.379574  0.718717  1.111151  1.277707  0.819081  512.25      1  \n",
+      "          V24       V25       V26       V27       V28   Amount  Class  \n",
+      "196  0.288946 -0.366658  0.030307  0.431182  0.110698    80.90      1  \n",
+      "197 -0.067179  0.215792 -0.453651  0.349191  0.198862    16.48      1  \n",
+      "198 -0.778379 -1.646815  0.487539  1.427713  0.583172     1.00      1  \n",
+      "199 -0.018820  0.632234  0.192922  0.468181  0.280486     1.59      1  \n",
+      "200  0.795190 -0.194542  0.145964 -2.458680 -1.189888   106.55      1  \n",
+      "..        ...       ...       ...       ...       ...      ...    ...  \n",
+      "289  0.169846  2.051687 -0.210502  1.301734  0.380246    99.99      1  \n",
+      "290 -0.946242  0.456090 -0.453206  0.046627  0.064698   105.99      1  \n",
+      "291  0.170279 -0.393844  0.296367  1.985913 -0.900452  1809.68      1  \n",
+      "292  0.901260 -0.452093  0.192959  0.180859 -0.029315   345.00      1  \n",
+      "293 -0.762352  0.096510 -0.487861  0.062655 -0.240732     1.00      1  \n",
       "\n",
       "[98 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TRAIN DF from index 0 to 196 and from index 294 to 492\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "0    154181.0 -0.549615  2.219075  -3.522024   0.236995  1.087469 -1.235530   \n",
+      "1     35866.0 -2.044489  3.368306  -3.937111   5.623120 -3.079232 -1.253474   \n",
+      "2    132086.0 -0.361428  1.133472  -2.971360  -0.283073  0.371452 -0.574680   \n",
+      "3     47982.0 -1.232804  2.244119  -1.703826   1.492536 -1.192985 -1.686110   \n",
+      "4    141925.0  0.120301  1.974141  -0.434087   5.390793  1.289684  0.280590   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0    -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1    -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2     4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3    -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4     0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "0    0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1    0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2   -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3    0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4    0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n",
       "[394 rows x 31 columns]\n",
-      "\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "\n",
       "Getting TEST DF from index 294 to 392\n",
       "         Time         V1         V2         V3         V4         V5  \\\n",
-      "294  131024.0   0.469750  -1.237555  -1.767341   4.833490  -0.268715   \n",
-      "295   74262.0  -2.250535   2.365755  -2.955491   0.089791  -2.830745   \n",
-      "296   68357.0   1.232604  -0.548931   1.087873   0.894082  -1.433055   \n",
-      "297  148028.0  -1.053840   4.362801  -6.023534   5.304534   1.480738   \n",
-      "298   11092.0   0.378275   3.914797  -5.726872   6.094141   1.698875   \n",
+      "294  128595.0  -5.313774   2.664274  -4.250707   0.394707  -0.391383   \n",
+      "295   84204.0  -0.937843   3.462889  -6.445104   4.932199  -2.233983   \n",
+      "296   41397.0 -14.970346   8.401421 -16.867238   8.252334 -13.565130   \n",
+      "297  128471.0   0.909124   1.337658  -4.484728   3.245358  -0.417809   \n",
+      "298   11131.0  -1.426623   4.141986  -9.804103   6.666273  -4.749527   \n",
       "..        ...        ...        ...        ...        ...        ...   \n",
-      "387   56887.0  -0.075483   1.812355  -2.566981   4.127549  -1.628532   \n",
-      "388   25198.0 -15.903635  10.393917 -19.133602   6.185969 -12.538021   \n",
-      "389   20451.0 -15.819179   8.775997 -22.804686  11.864868  -9.092361   \n",
-      "390  102669.0  -5.603690   5.222193  -7.516830   8.117724  -2.756858   \n",
-      "391   96135.0  -1.952933   3.541385  -1.310561   5.955664  -1.003993   \n",
+      "387   50706.0  -8.461845   6.866198 -11.838269   4.194211  -6.923097   \n",
+      "388  102572.0 -28.709229  22.057729 -27.855811  11.845013 -18.983813   \n",
+      "389   68207.0 -13.192671  12.785971  -9.906650   3.320337  -4.801176   \n",
+      "390   41285.0 -12.835760   6.574615 -12.788462   8.786257 -10.723121   \n",
+      "391   96291.0  -3.552173   5.426461  -3.731810   6.679062  -2.187543   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "294 -0.512760   1.140149  -0.341273 -1.046351  ...  0.303905 -0.647075   \n",
-      "295 -0.844462  -0.174062  -0.407138  0.174216  ...  0.256560 -0.466245   \n",
-      "296 -0.356797  -0.717492   0.003167 -0.100397  ... -0.448671 -0.517568   \n",
-      "297 -2.193821  -1.530817   0.626857 -4.037021  ...  0.397954 -0.945402   \n",
-      "298 -2.807314  -0.591118  -0.123496 -2.530713  ...  0.149896 -0.601967   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "387 -0.805895  -3.390135   1.019353 -2.451251  ...  0.794372  0.270471   \n",
-      "388 -4.027030 -13.897827  10.662252 -2.844954  ...  1.577548 -1.280137   \n",
-      "389 -2.386893 -16.560368   0.948349 -6.310658  ... -2.350634  1.036362   \n",
-      "390 -1.574565  -6.330343   2.998419 -4.508167  ...  1.242896  0.428408   \n",
-      "391  0.983049  -4.587235  -4.892184 -2.516752  ... -1.998091  1.133706   \n",
+      "           V6         V7         V8         V9  ...        V21       V22  \\\n",
+      "294  0.683526  -5.133671  -7.907790   0.215475  ...   8.664662 -2.716383   \n",
+      "295 -2.291561  -5.695594   1.338825  -4.322377  ...   1.066550 -0.521657   \n",
+      "296 -2.782438 -14.263735   9.643419  -7.701499  ...   2.714045 -0.101355   \n",
+      "297 -0.762119  -2.506349   0.694164  -0.467556  ...   0.586829  0.594078   \n",
+      "298 -2.073129 -10.089931   2.791345  -3.249516  ...   1.865679  0.407809   \n",
+      "..        ...        ...        ...        ...  ...        ...       ...   \n",
+      "387 -3.221147  -7.553497   6.015618  -2.466143  ...   0.918244 -0.715366   \n",
+      "388  6.474115 -43.557242 -41.044261 -13.320155  ... -22.797604  8.316275   \n",
+      "389  5.760059 -18.750889 -37.353443  -0.391540  ...  27.202839 -8.887017   \n",
+      "390 -2.813536 -14.248847   7.960521  -7.718751  ...   2.679490 -0.047335   \n",
+      "391  2.433940  -8.748110 -12.108284  -2.856359  ...  -5.688990  2.510980   \n",
       "\n",
       "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "294 -0.373014  0.260801 -0.496566 -0.245973 -0.117858  0.144774  723.21      1  \n",
-      "295  0.291105  0.242567 -1.279094 -1.123534 -0.630977  0.326839  311.28      1  \n",
-      "296  0.012833  0.699217  0.527258 -0.322607  0.080805  0.035427   19.59      1  \n",
-      "297 -0.376138 -0.220480  0.264003  0.048935  0.847220  0.531932    0.00      1  \n",
-      "298 -0.613724 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "294  0.483559  0.079235  0.311065  0.555544  0.176740  0.362907    1.00      1  \n",
+      "295 -0.319917 -0.405859  0.906802  1.165784  1.374495  0.729889    0.00      1  \n",
+      "296 -0.439666  0.519514  0.789328  0.064357 -1.621386 -1.104819  273.01      1  \n",
+      "297 -0.252120  0.325439  0.562766 -0.256278  0.652674  0.319879   67.90      1  \n",
+      "298  0.605809 -0.769348 -1.746337  0.502040  1.977258  0.711607    1.00      1  \n",
       "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "387 -0.143624  0.013566  0.634203  0.213693  0.773625  0.387434    5.00      1  \n",
-      "388 -0.601295  0.040404  0.995502 -0.273743  1.688136  0.527831   99.99      1  \n",
-      "389  1.136051 -1.043414 -0.108923  0.657437  2.136424 -1.411945    1.00      1  \n",
-      "390 -0.101184 -0.520199 -0.176938  0.461450 -0.106625 -0.479662    0.00      1  \n",
-      "391 -0.041461 -0.215379 -0.865599  0.212545  0.532897  0.357892   18.96      1  \n",
+      "387  0.210747 -0.060211  0.509535 -0.257284  1.170027  0.229301   99.99      1  \n",
+      "388  5.466230  0.023854 -1.527145 -0.145225 -5.682338 -0.439134    0.01      1  \n",
+      "389  5.303607 -0.639435  0.263203 -0.108877  1.269566  0.939407    1.00      1  \n",
+      "390 -0.836982  0.625349  0.125865  0.177624 -0.817680 -0.521030   37.32      1  \n",
+      "391  0.953933 -0.542506 -0.620152  0.406013  0.023025  0.164741   33.59      1  \n",
       "\n",
       "[98 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TRAIN DF from index 0 to 294 and from index 392 to 492\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "0    154181.0 -0.549615  2.219075  -3.522024   0.236995  1.087469 -1.235530   \n",
+      "1     35866.0 -2.044489  3.368306  -3.937111   5.623120 -3.079232 -1.253474   \n",
+      "2    132086.0 -0.361428  1.133472  -2.971360  -0.283073  0.371452 -0.574680   \n",
+      "3     47982.0 -1.232804  2.244119  -1.703826   1.492536 -1.192985 -1.686110   \n",
+      "4    141925.0  0.120301  1.974141  -0.434087   5.390793  1.289684  0.280590   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0    -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1    -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2     4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3    -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4     0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "0    0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1    0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2   -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3    0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4    0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n",
       "[394 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TEST DF from index 392 to 492\n",
       "         Time         V1         V2         V3         V4         V5  \\\n",
-      "392  148479.0  -1.541678   3.846800  -7.604114   3.121459  -1.254924   \n",
-      "393    6986.0  -4.397974   1.358367  -2.592844   2.679787  -1.128131   \n",
-      "394  135095.0   0.232512   0.938944  -4.647780   3.079844  -1.902655   \n",
-      "395   26523.0 -18.474868  11.586381 -21.402917   6.038515 -14.451158   \n",
-      "396   39729.0  -0.964567  -1.643541  -0.187727   1.158253  -2.458336   \n",
+      "392  149236.0  -1.370976  -0.025465  -2.774907   2.650530   4.511309   \n",
+      "393   26585.0 -19.856322  12.095893 -22.464083   6.115541 -15.148022   \n",
+      "394   70828.0   0.196707   1.189757   0.704882   2.891388   0.045555   \n",
+      "395   20451.0 -15.819179   8.775997 -22.804686  11.864868  -9.092361   \n",
+      "396   78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
       "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "487   91554.0  -5.100256   3.633442  -3.843919   0.183208  -1.183997   \n",
+      "488   36170.0  -5.685013   5.776516  -7.064977   5.902715  -4.715564   \n",
+      "489   25426.0   1.125336   1.130146  -0.962975   2.675688   0.990075   \n",
+      "490   11092.0   0.378275   3.914797  -5.726872   6.094141   1.698875   \n",
+      "491   14152.0  -4.710529   8.636214 -15.496222  10.313349  -4.351341   \n",
       "\n",
       "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "392 -2.084875  -2.385027   1.471140 -2.530507  ...  1.096405  1.064222   \n",
-      "393 -1.706536  -3.496197  -0.248778 -0.247768  ...  0.573574  0.176968   \n",
-      "394 -1.041408  -1.020407   0.547069 -1.105990  ...  0.911373  1.042929   \n",
-      "395 -4.146524 -14.856124  12.431140 -4.053353  ...  1.741136 -1.251138   \n",
-      "396  0.852222   2.785163  -0.303609  0.940006  ...  0.447180  0.536204   \n",
+      "392 -3.289344  -0.118841  -0.014279 -0.932773  ... -0.048061 -0.599350   \n",
+      "393 -4.346724 -15.648507  13.276805 -3.974162  ...  1.750730 -1.409636   \n",
+      "394  1.245730  -1.198714  -2.421616 -1.232089  ... -1.328132  0.189311   \n",
+      "395 -2.386893 -16.560368   0.948349 -6.310658  ... -2.350634  1.036362   \n",
+      "396 -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
       "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+      "487  1.602139  -3.005953  -8.645038  1.285458  ...  8.280439 -2.797150   \n",
+      "488 -1.755633  -6.958679   3.877795 -5.541529  ...  1.128641 -0.962960   \n",
+      "489 -0.243318   0.316192   0.122960 -1.143343  ... -0.166737 -0.521934   \n",
+      "490 -2.807314  -0.591118  -0.123496 -2.530713  ...  0.149896 -0.601967   \n",
+      "491 -3.322689 -10.788373   5.060381 -5.689311  ...  1.990545  0.223785   \n",
       "\n",
       "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "392  0.065370  0.257209 -0.693654 -0.335702  0.577052  0.398348  122.68      1  \n",
-      "393 -0.436207 -0.053502  0.252405 -0.657488 -0.827136  0.849573   59.00      1  \n",
-      "394  0.999394  0.901260 -0.452093  0.192959  0.180859 -0.029315  345.00      1  \n",
-      "395 -0.396219  0.095706  1.322751 -0.217955  1.628793  0.482248   99.99      1  \n",
-      "396  1.634061  0.203839  0.218749 -0.221886 -0.308555 -0.164500  776.83      1  \n",
+      "392  0.072193 -0.600351  0.371331 -0.370951  0.011970  0.145895    1.00      1  \n",
+      "393 -0.809809  0.121397  1.350300 -0.224292  1.597621  0.476920   99.99      1  \n",
+      "394 -0.005524 -0.814708  0.400924  0.286281  0.135215  0.257315    0.76      1  \n",
+      "395  1.136051 -1.043414 -0.108923  0.657437  2.136424 -1.411945    1.00      1  \n",
+      "396 -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
       "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
-      "\n",
+      "487  1.090707 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.110045 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.112376 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.613724 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491  0.554408 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "[100 rows x 31 columns]\n",
       "Getting TRAIN DF from index 0 to 392\n",
       "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
+      "0    154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
+      "1     35866.0  -2.044489   3.368306  -3.937111   5.623120  -3.079232   \n",
+      "2    132086.0  -0.361428   1.133472  -2.971360  -0.283073   0.371452   \n",
+      "3     47982.0  -1.232804   2.244119  -1.703826   1.492536  -1.192985   \n",
+      "4    141925.0   0.120301   1.974141  -0.434087   5.390793   1.289684   \n",
       "..        ...        ...        ...        ...        ...        ...   \n",
-      "387   56887.0  -0.075483   1.812355  -2.566981   4.127549  -1.628532   \n",
-      "388   25198.0 -15.903635  10.393917 -19.133602   6.185969 -12.538021   \n",
-      "389   20451.0 -15.819179   8.775997 -22.804686  11.864868  -9.092361   \n",
-      "390  102669.0  -5.603690   5.222193  -7.516830   8.117724  -2.756858   \n",
-      "391   96135.0  -1.952933   3.541385  -1.310561   5.955664  -1.003993   \n",
+      "387   50706.0  -8.461845   6.866198 -11.838269   4.194211  -6.923097   \n",
+      "388  102572.0 -28.709229  22.057729 -27.855811  11.845013 -18.983813   \n",
+      "389   68207.0 -13.192671  12.785971  -9.906650   3.320337  -4.801176   \n",
+      "390   41285.0 -12.835760   6.574615 -12.788462   8.786257 -10.723121   \n",
+      "391   96291.0  -3.552173   5.426461  -3.731810   6.679062  -2.187543   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "387 -0.805895  -3.390135   1.019353 -2.451251  ...  0.794372  0.270471   \n",
-      "388 -4.027030 -13.897827  10.662252 -2.844954  ...  1.577548 -1.280137   \n",
-      "389 -2.386893 -16.560368   0.948349 -6.310658  ... -2.350634  1.036362   \n",
-      "390 -1.574565  -6.330343   2.998419 -4.508167  ...  1.242896  0.428408   \n",
-      "391  0.983049  -4.587235  -4.892184 -2.516752  ... -1.998091  1.133706   \n",
+      "           V6         V7         V8         V9  ...        V21       V22  \\\n",
+      "0   -1.235530  -0.279313   0.514361  -1.849927  ...   0.364130  0.210428   \n",
+      "1   -1.253474  -5.778880   1.707428  -4.467103  ...   1.483594  0.834311   \n",
+      "2   -0.574680   4.031513  -0.934398  -0.768255  ...   0.110815  0.563861   \n",
+      "3   -1.686110  -1.864612   0.856122  -1.973535  ...   0.560475  0.165682   \n",
+      "4    0.280590   0.221963   0.067827  -1.387054  ...  -0.038690  0.204554   \n",
+      "..        ...        ...        ...        ...  ...        ...       ...   \n",
+      "387 -3.221147  -7.553497   6.015618  -2.466143  ...   0.918244 -0.715366   \n",
+      "388  6.474115 -43.557242 -41.044261 -13.320155  ... -22.797604  8.316275   \n",
+      "389  5.760059 -18.750889 -37.353443  -0.391540  ...  27.202839 -8.887017   \n",
+      "390 -2.813536 -14.248847   7.960521  -7.718751  ...   2.679490 -0.047335   \n",
+      "391  2.433940  -8.748110 -12.108284  -2.856359  ...  -5.688990  2.510980   \n",
       "\n",
       "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
+      "0   -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1   -0.148486  0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2   -0.408436 -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3   -0.013754  0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4   -0.167313  0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
       "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "387 -0.143624  0.013566  0.634203  0.213693  0.773625  0.387434    5.00      1  \n",
-      "388 -0.601295  0.040404  0.995502 -0.273743  1.688136  0.527831   99.99      1  \n",
-      "389  1.136051 -1.043414 -0.108923  0.657437  2.136424 -1.411945    1.00      1  \n",
-      "390 -0.101184 -0.520199 -0.176938  0.461450 -0.106625 -0.479662    0.00      1  \n",
-      "391 -0.041461 -0.215379 -0.865599  0.212545  0.532897  0.357892   18.96      1  \n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "387  0.210747 -0.060211  0.509535 -0.257284  1.170027  0.229301   99.99      1  \n",
+      "388  5.466230  0.023854 -1.527145 -0.145225 -5.682338 -0.439134    0.01      1  \n",
+      "389  5.303607 -0.639435  0.263203 -0.108877  1.269566  0.939407    1.00      1  \n",
+      "390 -0.836982  0.625349  0.125865  0.177624 -0.817680 -0.521030   37.32      1  \n",
+      "391  0.953933 -0.542506 -0.620152  0.406013  0.023025  0.164741   33.59      1  \n",
+      "\n",
       "[392 rows x 31 columns]\n"
      ]
     }
@@ -3889,7 +3891,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {
     "scrolled": true
    },
@@ -3901,344 +3903,264 @@
       "70\n",
       "Getting TEST DF from index 0 to 70\n",
       "        Time         V1        V2         V3        V4         V5        V6  \\\n",
-      "0   129808.0   1.522080 -0.519429  -2.581685  0.774741   0.206722 -1.431020   \n",
-      "1    48884.0  -2.139051  1.394368  -0.612035  1.049327  -1.162102 -0.768219   \n",
-      "2    78725.0  -4.312479  1.886476  -2.338634 -0.475243  -1.185444 -2.112079   \n",
-      "3    41413.0 -15.140450  7.378042 -16.356367  9.194935 -13.466163 -2.958431   \n",
-      "4    41227.0  -9.001351  6.613284 -12.423635  7.519929 -10.266255 -2.113208   \n",
+      "0   154181.0  -0.549615  2.219075  -3.522024  0.236995   1.087469 -1.235530   \n",
+      "1    35866.0  -2.044489  3.368306  -3.937111  5.623120  -3.079232 -1.253474   \n",
+      "2   132086.0  -0.361428  1.133472  -2.971360 -0.283073   0.371452 -0.574680   \n",
+      "3    47982.0  -1.232804  2.244119  -1.703826  1.492536  -1.192985 -1.686110   \n",
+      "4   141925.0   0.120301  1.974141  -0.434087  5.390793   1.289684  0.280590   \n",
       "..       ...        ...       ...        ...       ...        ...       ...   \n",
-      "65  133731.0   1.176633  3.141918  -6.140445  5.521821   1.768515 -1.727186   \n",
-      "66   88737.0   1.917827  0.951967  -2.059206  3.833998   1.668192  0.769826   \n",
-      "67   77154.0  -0.715414  0.608590   1.155501 -0.267565  -0.563748 -0.618898   \n",
-      "68   85181.0  -3.003459  2.096150  -0.487030  3.069453  -1.774329  0.251804   \n",
-      "69  129741.0  -1.396204  2.618584  -6.036770  3.552454   1.030091 -2.950358   \n",
-      "\n",
-      "           V7         V8        V9  ...       V21       V22       V23  \\\n",
-      "0    0.757011  -0.444418  0.997921  ...  0.019649 -0.211678 -0.247452   \n",
-      "1   -1.997237   0.574997 -0.980832  ...  0.696955  0.740003 -0.155115   \n",
-      "2   -2.122793   0.272565  0.290273  ...  0.550541 -0.067870 -1.114692   \n",
-      "3  -16.165539  10.075254 -7.901821  ...  3.147428  0.341678 -1.150162   \n",
-      "4   -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758  0.082594   \n",
-      "..        ...        ...       ...  ...       ...       ...       ...   \n",
-      "65  -0.932429   0.292797 -3.156827  ...  0.129372 -0.803021 -0.074098   \n",
-      "66   0.232463   0.107941 -1.143646  ...  0.015255  0.239994 -0.111916   \n",
-      "67   0.698308   0.069837 -0.133341  ...  0.130749  0.239389 -0.090227   \n",
-      "68  -4.328776  -2.425478 -0.985222  ...  0.163967  1.245648 -0.269241   \n",
-      "69  -1.528506   0.189319 -1.433554  ...  0.143177 -0.390176  0.356029   \n",
+      "65   35771.0  -3.218952  2.708535  -3.263042  1.361866  -1.645776 -1.852982   \n",
+      "66  152098.0  -4.124316  3.748597  -7.926507  7.763242  -0.769375 -2.031171   \n",
+      "67   41607.0 -18.247513  8.713250 -17.880127  9.249459 -14.541213 -1.911564   \n",
+      "68   55311.0  -6.159607  1.468713  -6.850888  5.174706  -2.986704 -1.795054   \n",
+      "69   65385.0  -2.923827  1.524837  -3.018758  3.289291  -5.755542  2.218276   \n",
       "\n",
-      "         V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0  -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1  -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4   0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..       ...       ...       ...       ...       ...     ...    ...  \n",
-      "65 -0.031084  0.375366  0.065897  0.488258  0.325872    0.00      1  \n",
-      "66 -0.380576  0.370995  0.189117 -0.005823 -0.012105    9.21      1  \n",
-      "67  0.411572 -0.216126  0.353896 -0.062361  0.008433  129.00      1  \n",
-      "68  0.537102 -0.220757 -0.059555  0.460710 -0.033551    2.00      1  \n",
-      "69 -0.762352  0.096510 -0.487861  0.062655 -0.240732    1.00      1  \n",
+      "           V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0   -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1   -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2    4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3   -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4    0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..        ...       ...       ...  ...       ...       ...       ...   \n",
+      "65  -3.069958 -1.796876 -0.213356  ...  1.807877 -0.890421 -0.325814   \n",
+      "66  -3.474549  0.107121 -1.551352  ...  0.547097  0.687854  0.429939   \n",
+      "67 -18.014660  5.522162 -9.283925  ...  0.598843  0.615319 -0.486499   \n",
+      "68  -6.545072  2.621236 -3.605870  ...  1.061314  0.125737  0.589592   \n",
+      "69  -0.509995 -3.569444 -1.016592  ... -0.511657 -0.122724 -4.288639   \n",
+      "\n",
+      "         V24       V25       V26       V27       V28   Amount  Class  \n",
+      "0   0.015803  0.349212  0.647302  0.171929  0.117188     0.76      1  \n",
+      "1   0.001669 -0.038996  0.389526  1.300236  0.549940     7.61      1  \n",
+      "2  -0.880079  1.408392 -0.137402 -0.001250 -0.182751   480.72      1  \n",
+      "3   0.474935 -0.218725  0.302809  0.466031  0.250134     0.76      1  \n",
+      "4   0.791547 -0.223675  0.473223 -0.160202  0.065039     0.76      1  \n",
+      "..       ...       ...       ...       ...       ...      ...    ...  \n",
+      "65  0.123040 -0.093014  0.232106 -0.310519 -0.745295    60.60      1  \n",
+      "66 -0.620601 -0.369688  0.367349 -2.664767  0.417101     1.00      1  \n",
+      "67  0.739268 -0.236845 -0.046082 -3.011473 -1.022147    53.95      1  \n",
+      "68 -0.568731  0.582825 -0.042583  0.951130  0.158996     0.83      1  \n",
+      "69  0.563797 -0.949451 -0.204532  1.510206 -0.324706  1354.25      1  \n",
       "\n",
       "[70 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TRAIN DF from index 0 to 0 and from index 70 to 492\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "70   110547.0  -1.532810   2.232752  -5.923100   3.386708  -0.153443   \n",
-      "71    30852.0  -2.830984   0.885657   1.199930   2.861292   0.321669   \n",
-      "72    40919.0  -2.740483   3.658095  -4.110636   5.340242  -2.666775   \n",
-      "73    53727.0  -1.649279   1.263974  -1.050826   2.237991  -2.527889   \n",
-      "74    67571.0  -0.758469  -0.045410  -0.168438  -1.313275  -1.901763   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "         Time         V1        V2         V3         V4         V5        V6  \\\n",
+      "70    59011.0  -2.326922 -3.348439  -3.513408   3.175060  -2.815137 -0.203363   \n",
+      "71    41870.0 -20.906908  9.843153 -19.947726   6.155789 -15.142013 -2.239566   \n",
+      "72   153653.0  -5.192496  3.164721  -5.047679   2.246597  -4.011781 -0.638908   \n",
+      "73   110617.0  -1.101035 -1.674928  -0.573388   5.617556   0.765556  0.440607   \n",
+      "74    47923.0   0.364377  1.443523  -2.220907   2.036985  -1.237055 -1.728161   \n",
+      "..        ...        ...       ...        ...        ...        ...       ...   \n",
+      "487   91554.0  -5.100256  3.633442  -3.843919   0.183208  -1.183997  1.602139   \n",
+      "488   36170.0  -5.685013  5.776516  -7.064977   5.902715  -4.715564 -1.755633   \n",
+      "489   25426.0   1.125336  1.130146  -0.962975   2.675688   0.990075 -0.243318   \n",
+      "490   11092.0   0.378275  3.914797  -5.726872   6.094141   1.698875 -2.807314   \n",
+      "491   14152.0  -4.710529  8.636214 -15.496222  10.313349  -4.351341 -3.322689   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "70  -1.419748  -3.878576   1.444656 -1.465542  ...  0.632505 -0.070838   \n",
-      "71   0.289966   1.767760  -2.451050  0.069736  ...  0.546589  0.334971   \n",
-      "72  -0.092782  -4.388699  -0.280133 -2.821895  ...  2.417495 -0.097712   \n",
-      "73  -0.889940  -2.355254   0.854659 -1.281243  ...  0.679176  0.731907   \n",
-      "74   0.739433   3.071892  -0.483422  0.618203  ...  0.042619  0.397224   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "70   -0.892144  0.333226 -0.802005  ...  1.226648 -0.695902 -1.478490   \n",
+      "71  -21.234463  1.151795 -8.739670  ... -1.977196  0.652932 -0.519777   \n",
+      "72   -2.873463  1.576318 -2.861986  ...  1.167244 -1.006617  0.774562   \n",
+      "73    1.934740 -1.019788 -0.193244  ... -0.412526 -0.208823  0.344833   \n",
+      "74   -2.058582  0.358895 -1.393306  ...  0.402730 -0.132129 -0.032977   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "70  -0.490291 -0.359983  0.050678  1.095671  0.471741 -0.106667    0.76      1  \n",
-      "71   0.172106  0.623590 -0.527114 -0.079215 -2.532445  0.311177  104.81      1  \n",
-      "72   0.382155 -0.154757 -0.403956  0.277895  0.830062  0.218690  112.33      1  \n",
-      "73   0.333045  0.392505 -0.274197  0.802349  0.390809  0.112146  112.45      1  \n",
-      "74   0.072229 -0.242276  0.560916 -0.540955  0.150606 -0.117140  549.06      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "          V24       V25       V26       V27       V28   Amount  Class  \n",
+      "70  -0.061553  0.236155  0.531911  0.302324  0.536375  1389.56      1  \n",
+      "71   0.541702 -0.053861  0.112671 -3.765371 -1.071238     1.00      1  \n",
+      "72   0.063397 -0.390658  1.884741 -1.742558 -0.082216   247.86      1  \n",
+      "73   1.091435 -0.686513  0.075809  0.033865 -0.832855   635.10      1  \n",
+      "74   0.460861  0.560404  0.409366  0.539668  0.296918     0.76      1  \n",
+      "..        ...       ...       ...       ...       ...      ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581   261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380   111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612     3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910     1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644     1.00      1  \n",
       "\n",
       "[422 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TEST DF from index 70 to 140\n",
-      "         Time        V1        V2        V3        V4        V5        V6  \\\n",
-      "70   110547.0 -1.532810  2.232752 -5.923100  3.386708 -0.153443 -1.419748   \n",
-      "71    30852.0 -2.830984  0.885657  1.199930  2.861292  0.321669  0.289966   \n",
-      "72    40919.0 -2.740483  3.658095 -4.110636  5.340242 -2.666775 -0.092782   \n",
-      "73    53727.0 -1.649279  1.263974 -1.050826  2.237991 -2.527889 -0.889940   \n",
-      "74    67571.0 -0.758469 -0.045410 -0.168438 -1.313275 -1.901763  0.739433   \n",
-      "..        ...       ...       ...       ...       ...       ...       ...   \n",
-      "135  148053.0  1.261324  2.726800 -5.435019  5.342759  1.447043 -1.442584   \n",
-      "136   87202.0 -0.419820 -1.155978 -2.092516  2.786750  0.736297 -0.167292   \n",
-      "137   65385.0 -2.923827  1.524837 -3.018758  3.289291 -5.755542  2.218276   \n",
-      "138   34684.0 -2.439237  2.591458 -2.840126  1.286244 -1.777016 -1.436139   \n",
-      "139    8757.0 -1.863756  3.442644 -4.468260  2.805336 -2.118412 -2.332285   \n",
+      "         Time         V1         V2         V3        V4         V5        V6  \\\n",
+      "70    59011.0  -2.326922  -3.348439  -3.513408  3.175060  -2.815137 -0.203363   \n",
+      "71    41870.0 -20.906908   9.843153 -19.947726  6.155789 -15.142013 -2.239566   \n",
+      "72   153653.0  -5.192496   3.164721  -5.047679  2.246597  -4.011781 -0.638908   \n",
+      "73   110617.0  -1.101035  -1.674928  -0.573388  5.617556   0.765556  0.440607   \n",
+      "74    47923.0   0.364377   1.443523  -2.220907  2.036985  -1.237055 -1.728161   \n",
+      "..        ...        ...        ...        ...       ...        ...       ...   \n",
+      "135   94364.0 -15.192064  10.432528 -19.629515  8.046075 -12.838167 -1.875859   \n",
+      "136   96135.0  -1.952933   3.541385  -1.310561  5.955664  -1.003993  0.983049   \n",
+      "137  169966.0  -3.113832   0.585864  -5.399730  1.817092  -0.840618 -2.943548   \n",
+      "138   28692.0 -29.200329  16.155701 -30.013712  6.476731 -21.225810 -4.902997   \n",
+      "139  134766.0  -0.079653   3.222010  -3.724201  6.037345   0.583395 -0.691346   \n",
       "\n",
-      "           V7        V8        V9  ...       V21       V22       V23  \\\n",
-      "70  -3.878576  1.444656 -1.465542  ...  0.632505 -0.070838 -0.490291   \n",
-      "71   1.767760 -2.451050  0.069736  ...  0.546589  0.334971  0.172106   \n",
-      "72  -4.388699 -0.280133 -2.821895  ...  2.417495 -0.097712  0.382155   \n",
-      "73  -2.355254  0.854659 -1.281243  ...  0.679176  0.731907  0.333045   \n",
-      "74   3.071892 -0.483422  0.618203  ...  0.042619  0.397224  0.072229   \n",
-      "..        ...       ...       ...  ...       ...       ...       ...   \n",
-      "135 -0.898702  0.123062 -2.748496  ...  0.209086 -0.425938 -0.154440   \n",
-      "136  1.600027 -0.117427 -0.796954  ...  0.480640  0.533517  1.284645   \n",
-      "137 -0.509995 -3.569444 -1.016592  ... -0.511657 -0.122724 -4.288639   \n",
-      "138 -2.206056 -2.282725 -0.292885  ...  1.774460 -0.771390  0.065727   \n",
-      "139 -4.261237  1.701682 -1.439396  ...  0.667927 -0.516242 -0.012218   \n",
+      "            V7         V8        V9  ...       V21       V22       V23  \\\n",
+      "70   -0.892144   0.333226 -0.802005  ...  1.226648 -0.695902 -1.478490   \n",
+      "71  -21.234463   1.151795 -8.739670  ... -1.977196  0.652932 -0.519777   \n",
+      "72   -2.873463   1.576318 -2.861986  ...  1.167244 -1.006617  0.774562   \n",
+      "73    1.934740  -1.019788 -0.193244  ... -0.412526 -0.208823  0.344833   \n",
+      "74   -2.058582   0.358895 -1.393306  ...  0.402730 -0.132129 -0.032977   \n",
+      "..         ...        ...       ...  ...       ...       ...       ...   \n",
+      "135 -21.359738  -3.717850 -5.969782  ... -3.474097  1.765446  1.701257   \n",
+      "136  -4.587235  -4.892184 -2.516752  ... -1.998091  1.133706 -0.041461   \n",
+      "137  -2.208002   1.058733 -1.632333  ...  0.583276 -0.269209 -0.456108   \n",
+      "138 -19.791248  19.168327 -3.617242  ...  1.809371 -2.175815 -1.365104   \n",
+      "139  -1.799885  -2.627781 -4.001338  ... -0.664694  1.138556 -0.350753   \n",
       "\n",
       "          V24       V25       V26       V27       V28   Amount  Class  \n",
-      "70  -0.359983  0.050678  1.095671  0.471741 -0.106667     0.76      1  \n",
-      "71   0.623590 -0.527114 -0.079215 -2.532445  0.311177   104.81      1  \n",
-      "72  -0.154757 -0.403956  0.277895  0.830062  0.218690   112.33      1  \n",
-      "73   0.392505 -0.274197  0.802349  0.390809  0.112146   112.45      1  \n",
-      "74  -0.242276  0.560916 -0.540955  0.150606 -0.117140   549.06      1  \n",
+      "70  -0.061553  0.236155  0.531911  0.302324  0.536375  1389.56      1  \n",
+      "71   0.541702 -0.053861  0.112671 -3.765371 -1.071238     1.00      1  \n",
+      "72   0.063397 -0.390658  1.884741 -1.742558 -0.082216   247.86      1  \n",
+      "73   1.091435 -0.686513  0.075809  0.033865 -0.832855   635.10      1  \n",
+      "74   0.460861  0.560404  0.409366  0.539668  0.296918     0.76      1  \n",
       "..        ...       ...       ...       ...       ...      ...    ...  \n",
-      "135 -0.018820  0.632234  0.192922  0.468181  0.280486     1.59      1  \n",
-      "136  0.516131 -0.602941 -0.305024 -0.021363  0.129096   451.27      1  \n",
-      "137  0.563797 -0.949451 -0.204532  1.510206 -0.324706  1354.25      1  \n",
-      "138  0.103916 -0.057578  0.242652 -0.268649 -0.743713   125.30      1  \n",
-      "139  0.070614  0.058504  0.304883  0.418012  0.208858     1.00      1  \n",
-      "\n",
+      "135  0.381587 -1.413417 -1.023078 -2.634761 -0.463931     1.00      1  \n",
+      "136 -0.215379 -0.865599  0.212545  0.532897  0.357892    18.96      1  \n",
+      "137 -0.183659 -0.328168  0.606116  0.884876 -0.253700   245.00      1  \n",
+      "138  0.174286  2.103868 -0.209944  1.278681  0.372393    99.99      1  \n",
+      "139 -0.287467  0.808889  0.823962  0.668497  0.595610     1.00      1  \n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "[70 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TRAIN DF from index 0 to 70 and from index 140 to 492\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "0    154181.0 -0.549615  2.219075  -3.522024   0.236995  1.087469 -1.235530   \n",
+      "1     35866.0 -2.044489  3.368306  -3.937111   5.623120 -3.079232 -1.253474   \n",
+      "2    132086.0 -0.361428  1.133472  -2.971360  -0.283073  0.371452 -0.574680   \n",
+      "3     47982.0 -1.232804  2.244119  -1.703826   1.492536 -1.192985 -1.686110   \n",
+      "4    141925.0  0.120301  1.974141  -0.434087   5.390793  1.289684  0.280590   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0    -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1    -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2     4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3    -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4     0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "0    0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1    0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2   -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3    0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4    0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n",
       "[422 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TEST DF from index 140 to 210\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "140  102114.0 -28.255053  21.467203 -26.871339  11.737436 -17.999630   \n",
-      "141   63578.0  -0.639191  -0.085595   1.265452   1.401166  -0.260542   \n",
-      "142   93860.0 -10.632375   7.251936 -17.681072   8.204144 -10.166591   \n",
-      "143   76857.0   1.140208   1.156431  -1.471578   2.076278   0.774809   \n",
-      "144   12597.0  -2.589617   7.016714 -13.705407  10.343228  -2.954461   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "205    8415.0  -0.251471   4.313523  -6.891438   6.796797   0.616297   \n",
-      "206   41313.0 -13.897206   6.344280 -14.281666   5.581009 -12.887133   \n",
-      "207   67857.0  -1.739334  -1.304655   0.314103   0.053740  -0.058696   \n",
-      "208   95559.0 -16.308650  11.614801 -19.739386  10.463866 -12.599146   \n",
-      "209   35926.0  -3.896583   4.518355  -4.454027   5.547453  -4.121459   \n",
-      "\n",
-      "           V6         V7         V8         V9  ...        V21       V22  \\\n",
-      "140  6.065901 -41.506796 -38.987263 -13.434066  ... -21.453736  8.361985   \n",
-      "141  1.009795   1.301999  -0.135258  -0.431521  ...   0.340331  0.760170   \n",
-      "142 -4.510344 -12.981606   6.783589  -4.659330  ...   2.715357  0.695603   \n",
-      "143 -1.002532   0.264948   0.013162   0.248835  ...  -0.387895 -0.866812   \n",
-      "144 -3.055116  -9.301289   3.349573  -5.654212  ...   1.887738  0.333998   \n",
-      "..        ...        ...        ...        ...  ...        ...       ...   \n",
-      "205 -2.966327  -2.436653   0.489328  -3.371639  ...   0.536892 -0.546126   \n",
-      "206 -3.146176 -15.450467   9.060281  -5.486121  ...   3.058082  0.941180   \n",
-      "207  0.071260   0.694862  -0.313270  -0.649377  ...  -0.665172 -0.632078   \n",
-      "208 -1.202393 -23.380508  -5.781133  -7.811022  ...  -4.884983  1.140910   \n",
-      "209 -1.163407  -6.805053   2.928356  -4.917130  ...   1.691042  0.920021   \n",
+      "         Time         V1         V2         V3        V4         V5        V6  \\\n",
+      "140   47545.0   1.176716   0.557091  -0.490800  0.756424   0.249192 -0.781871   \n",
+      "141   94362.0 -26.457745  16.497472 -30.177317  8.904157 -17.892600 -1.227904   \n",
+      "142  150494.0   1.852889   1.069593  -1.776101  4.617410   0.770413 -0.400859   \n",
+      "143   93860.0 -10.850282   6.727466 -16.760583  8.425832 -10.252697 -4.192171   \n",
+      "144  142961.0   0.457845   1.373769  -0.488926  2.805351   1.777386  0.100492   \n",
+      "..        ...        ...        ...        ...       ...        ...       ...   \n",
+      "205   56624.0  -7.901421   2.720472  -7.885936  6.348334  -5.480119 -0.333059   \n",
+      "206   75978.0  -5.140723   3.568751  -5.896245  4.164720  -4.091193 -1.989960   \n",
+      "207   28625.0 -27.848181  15.598193 -28.923756  6.418442 -20.346228 -4.828202   \n",
+      "208   64412.0  -1.348042   2.522821  -0.782432  4.083047  -0.662280 -0.598776   \n",
+      "209  100924.0 -23.984747  16.697832 -22.209875  9.584969 -16.230439  2.596333   \n",
+      "\n",
+      "            V7         V8         V9  ...        V21       V22       V23  \\\n",
+      "140   0.228750  -0.040840  -0.432111  ...  -0.062166 -0.128168 -0.040176   \n",
+      "141 -31.197329 -11.438920  -9.462573  ...  -8.755698  3.460893  0.896538   \n",
+      "142  -0.040970   0.089510  -0.217705  ...  -0.157869 -0.176244  0.027437   \n",
+      "143 -14.077086   7.168288  -3.683242  ...   2.541637  0.135535 -1.023967   \n",
+      "144   1.295016  -0.135857  -1.695822  ...   0.105593  0.371014  0.051105   \n",
+      "..         ...        ...        ...  ...        ...       ...       ...   \n",
+      "205  -8.682376   1.164431  -4.542447  ...   0.077739  1.092437  0.320133   \n",
+      "206  -5.472436   2.422821  -2.909735  ...   1.131130  0.118022 -0.332704   \n",
+      "207 -19.210896  18.329406  -3.668735  ...   1.802149 -2.062934 -1.269843   \n",
+      "208  -1.943552  -0.329579  -1.853274  ...   1.079871 -0.352026 -0.218358   \n",
+      "209 -33.239328 -21.560039 -10.842526  ... -12.615023  5.774087  2.750221   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "140  4.909111  0.098328 -1.508739  0.008711 -5.407824 -0.183811    0.00      1  \n",
-      "141  0.353377 -0.778893 -0.070681 -0.033355 -0.061962 -0.062687  290.18      1  \n",
-      "142 -1.138122  0.459442  0.386337  0.522438 -1.416604 -0.488307  188.52      1  \n",
-      "143 -0.121583 -0.356109  0.634573 -0.306311  0.094087  0.121065    1.00      1  \n",
-      "144  0.287659 -1.186406 -0.690273  0.631704  1.934221  0.789687    1.00      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "205 -0.605240 -0.263743  1.539916  0.523574  0.891025  0.572741    1.00      1  \n",
-      "206 -0.232710  0.763508  0.075456 -0.453840 -1.508968 -0.686836    9.99      1  \n",
-      "207 -0.421176 -0.400774 -0.001640 -0.495162  0.031633  0.066280  320.00      1  \n",
-      "208  1.392953  0.348997 -2.167510 -0.798754 -2.942775 -0.462680    1.63      1  \n",
-      "209 -0.151104  0.011007  0.080303  0.412191  0.635789  0.501050    4.56      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "140  0.110040  0.437891  0.368809 -0.018287  0.031173    0.76      1  \n",
+      "141  0.254836 -0.738097 -0.966564 -7.263482 -1.324884    1.00      1  \n",
+      "142 -0.468006  0.058063  0.148263  0.042278  0.040573    1.00      1  \n",
+      "143  0.406265  0.106593 -0.026232 -1.464630 -0.411682   78.00      1  \n",
+      "144  0.401524 -0.724766 -0.202881  0.092124  0.094956    0.00      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "205 -0.434643 -0.380687  0.213630  0.423620 -0.105169  153.46      1  \n",
+      "206  0.139941  0.324758 -0.180769  0.177810  0.661555   99.90      1  \n",
+      "207  0.165409  1.999499 -0.211059  1.324809  0.388090   99.99      1  \n",
+      "208  0.125866 -0.074180  0.179116  0.612580  0.234206    1.00      1  \n",
+      "209  0.513411 -1.608804 -0.459624 -4.626127 -0.334561    1.00      1  \n",
       "\n",
       "[70 rows x 31 columns]\n",
       "\n",
       "\n",
       "Getting TRAIN DF from index 0 to 140 and from index 210 to 492\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
-      "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
-      "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
-      "\n",
-      "[422 rows x 31 columns]\n",
-      "\n",
-      "\n",
-      "Getting TEST DF from index 210 to 280\n",
-      "         Time        V1        V2         V3        V4        V5        V6  \\\n",
-      "210   47982.0 -1.232804  2.244119  -1.703826  1.492536 -1.192985 -1.686110   \n",
-      "211   40892.0 -2.140511  4.104871  -8.996859  4.028391 -5.131359 -4.153568   \n",
-      "212   53658.0 -1.739341  1.344521  -0.534379  3.195291 -0.416196 -1.261961   \n",
-      "213   62467.0 -5.344665 -0.285760  -3.835616  5.337048 -7.609909  3.874668   \n",
-      "214  152307.0 -5.222968  4.641827  -8.858204  7.723502 -1.507035 -2.159484   \n",
-      "..        ...       ...       ...        ...       ...       ...       ...   \n",
-      "275   93853.0 -6.185857  7.102985 -13.030455  8.010823 -7.885237 -3.974550   \n",
-      "276   40662.0 -4.446847 -0.014793  -5.126307  6.945130  5.269255 -4.297177   \n",
-      "277  129222.0  1.177824  2.487103  -5.330608  5.324547  1.150243 -1.281843   \n",
-      "278   62080.0 -1.599457  2.607720  -2.987193  3.064156 -2.497914 -0.541103   \n",
-      "279   93853.0 -6.185857  7.102985 -13.030455  8.010823 -7.885237 -3.974550   \n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "0    154181.0 -0.549615  2.219075  -3.522024   0.236995  1.087469 -1.235530   \n",
+      "1     35866.0 -2.044489  3.368306  -3.937111   5.623120 -3.079232 -1.253474   \n",
+      "2    132086.0 -0.361428  1.133472  -2.971360  -0.283073  0.371452 -0.574680   \n",
+      "3     47982.0 -1.232804  2.244119  -1.703826   1.492536 -1.192985 -1.686110   \n",
+      "4    141925.0  0.120301  1.974141  -0.434087   5.390793  1.289684  0.280590   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
       "\n",
       "            V7        V8        V9  ...       V21       V22       V23  \\\n",
-      "210  -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
-      "211  -9.360095  1.922075 -4.026180  ...  1.854267 -0.165534 -0.339939   \n",
-      "212  -2.340991  0.713004 -1.416265  ...  0.383180 -0.213952 -0.336640   \n",
-      "213   1.289630  0.201742 -3.003532  ...  0.276011  1.342045 -1.016579   \n",
-      "214  -4.205164  0.979334 -1.505637  ...  0.561892  0.624207  0.536429   \n",
+      "0    -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1    -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2     4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3    -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4     0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
       "..         ...       ...       ...  ...       ...       ...       ...   \n",
-      "275 -12.229608  4.971232 -4.248307  ...  2.502772  0.481691  0.480958   \n",
-      "276  -2.591242  0.342671 -3.880663  ...  0.247913 -0.049586 -0.226017   \n",
-      "277  -1.171994  0.413778 -2.659840  ...  0.262325 -0.431790 -0.092088   \n",
-      "278  -2.277786  1.268166 -1.997331  ...  0.662933  0.184087 -0.089452   \n",
-      "279 -12.229608  4.971232 -4.248307  ...  2.502772  0.481691  0.480958   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
       "\n",
-      "          V24       V25       V26       V27       V28   Amount  Class  \n",
-      "210  0.474935 -0.218725  0.302809  0.466031  0.250134     0.76      1  \n",
-      "211  0.296314  1.364225 -0.518996  2.352333  1.130625     0.76      1  \n",
-      "212  0.237076  0.246003 -0.044228  0.510729  0.220952     0.00      1  \n",
-      "213 -0.071361 -0.335869  0.441044  1.520613 -1.115937  1402.16      1  \n",
-      "214 -0.628334 -0.222651  0.382208 -2.693036  0.407935     1.00      1  \n",
-      "..        ...       ...       ...       ...       ...      ...    ...  \n",
-      "275  0.360319 -0.293354 -0.199193 -0.203917  0.398927    44.90      1  \n",
-      "276 -0.401236  0.856124  0.661272  0.492560  0.971834     1.00      1  \n",
-      "277  0.145216  0.457788  0.167739  0.451243  0.268421     4.87      1  \n",
-      "278 -0.506000 -0.062259 -0.052714  0.322854  0.135268   180.00      1  \n",
-      "279  0.360319 -0.293354 -0.199193 -0.203917  0.398927    44.90      1  \n",
-      "\n",
-      "[70 rows x 31 columns]\n",
-      "\n",
-      "\n",
-      "Getting TRAIN DF from index 0 to 210 and from index 280 to 492\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
-      "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
-      "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "0    0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1    0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2   -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3    0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4    0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n"
      ]
     },
@@ -4249,174 +4171,187 @@
       "[422 rows x 31 columns]\n",
       "\n",
       "\n",
-      "Getting TEST DF from index 280 to 350\n",
+      "Getting TEST DF from index 210 to 280\n",
       "         Time         V1         V2         V3         V4         V5  \\\n",
-      "280    8808.0  -4.617217   1.695694  -3.114372   4.328199  -1.873257   \n",
-      "281   71033.0  -3.170818   0.185735  -3.399852   3.761155  -2.148047   \n",
-      "282   20011.0 -14.724627   7.875157 -21.872317  11.906170  -8.348734   \n",
-      "283  143354.0   1.118331   2.074439  -3.837518   5.448060   0.071816   \n",
-      "284   65358.0   1.193916  -0.571085   0.742522  -0.014588  -0.624561   \n",
+      "210  102676.0  -5.552122   5.678134  -9.775528   8.416295  -4.409844   \n",
+      "211   95559.0 -16.308650  11.614801 -19.739386  10.463866 -12.599146   \n",
+      "212  133184.0  -1.212682  -2.484824  -6.397186   3.670562  -0.863375   \n",
+      "213   97121.0 -17.976266  12.864989 -19.575066  11.345120 -13.998646   \n",
+      "214  166883.0   2.091900  -0.757459  -1.192258  -0.755458  -0.620324   \n",
       "..        ...        ...        ...        ...        ...        ...   \n",
-      "345   54846.0  -2.986466  -0.000891   0.605887   0.338338   0.685448   \n",
-      "346  100223.0 -19.641857  14.706335 -22.801238  12.114672 -14.898113   \n",
-      "347   86376.0  -0.670238   0.945206   0.610051   2.640065  -2.707775   \n",
-      "348  139816.0  -0.395582  -0.751792  -1.984666  -0.203459   1.903967   \n",
-      "349    8886.0  -2.535852   5.793644  -7.618463   6.395830  -0.065210   \n",
+      "275  118603.0  -6.677212   5.529299  -7.193275   6.081321  -1.636071   \n",
+      "276  152036.0  -4.320609   3.199939  -5.799736   6.502330   0.378479   \n",
+      "277   51155.0 -11.205461   7.914633 -13.987752   4.333341  -8.484970   \n",
+      "278   94362.0 -26.457745  16.497472 -30.177317   8.904157 -17.892600   \n",
+      "279   41164.0  -5.932778   4.571743  -9.427247   6.577056  -6.115218   \n",
       "\n",
       "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "280 -0.989908  -4.577265   0.472216  0.472017  ...  0.481830  0.146023   \n",
-      "281 -1.598944  -2.519565   1.316215 -2.400106  ...  1.092051 -0.041080   \n",
-      "282 -2.262846 -15.833443   0.077874 -6.356833  ... -2.362345  1.099557   \n",
-      "283 -1.020509  -1.808574   0.521744 -2.032638  ...  0.289861 -0.172718   \n",
-      "284  0.832162  -0.833350   0.272897  1.169425  ... -0.049502  0.207265   \n",
+      "210 -1.506235  -6.899839   3.750443 -3.879793  ...  1.128472  0.228484   \n",
+      "211 -1.202393 -23.380508  -5.781133 -7.811022  ... -4.884983  1.140910   \n",
+      "212 -1.855855   1.017732  -0.544704 -1.703378  ...  1.396872  0.092073   \n",
+      "213 -0.354900 -23.783470  -4.872353 -8.504285  ... -4.300432  2.865772   \n",
+      "214 -0.322077  -1.082511   0.117200 -0.140927  ...  0.288253  0.831939   \n",
       "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "345 -1.581954   0.504206  -0.233403  0.636768  ... -0.875146 -0.509849   \n",
-      "346  0.840778 -28.011293 -11.919639 -8.960922  ... -8.228874  3.318178   \n",
-      "347  1.952611  -1.624608  -5.229908  0.210202  ... -2.504450  1.436472   \n",
-      "348 -1.430289  -0.076548  -0.992260  0.756307  ...  1.377515  2.151787   \n",
-      "349 -3.136372  -3.104557   1.823233 -3.878658  ...  0.716720 -0.448060   \n",
-      "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "280  0.117039 -0.217565 -0.138776 -0.424453 -1.002041  0.890780    1.10      1  \n",
-      "281  0.904395  0.180016  0.049970 -0.257100  0.859282  0.225924  426.40      1  \n",
-      "282  1.037199 -1.036359 -0.254777  0.642343  2.161129 -1.401282    1.00      1  \n",
-      "283 -0.021910 -0.376560  0.192817  0.114107  0.500996  0.259533    1.00      1  \n",
-      "284 -0.265272 -0.679294  0.511812  1.246604 -0.028671 -0.006112   31.91      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "345  1.313918  0.355065  0.448552  0.193490  1.214588 -0.013923    1.79      1  \n",
-      "346  2.585212  0.195009 -1.194803  0.038423 -4.126746 -0.645329    2.28      1  \n",
-      "347  0.351542  0.648467  0.579681  0.075738  0.346717  0.282209  323.77      1  \n",
-      "348  0.189225  0.772943 -0.872443 -0.200612  0.356856  0.032113    0.69      1  \n",
-      "349 -0.402407 -0.288835  1.011752  0.425965  0.413140  0.308205    1.00      1  \n",
+      "275  0.500610  -4.640770  -4.339840 -0.950036  ...  5.563301 -1.608272   \n",
+      "276 -1.948246  -2.167860  -0.728207 -1.977238  ...  0.476660  0.434278   \n",
+      "277 -3.506561  -8.935243   7.704449 -2.336584  ...  0.942593 -0.987848   \n",
+      "278 -1.227904 -31.197329 -11.438920 -9.462573  ... -8.755698  3.460893   \n",
+      "279 -3.661798 -10.894079   3.709210 -5.859524  ...  2.014272 -0.167417   \n",
+      "\n",
+      "          V23       V24       V25       V26       V27       V28   Amount  \\\n",
+      "210  0.286258 -0.536294 -0.104925  0.420919 -0.297557 -0.946184   119.74   \n",
+      "211  1.392953  0.348997 -2.167510 -0.798754 -2.942775 -0.462680     1.63   \n",
+      "212 -1.492882 -0.204227  0.532511 -0.293871  0.212663  0.431095  1335.00   \n",
+      "213  1.489302  0.386039 -0.232392  0.413827 -3.255981 -0.538963     8.64   \n",
+      "214  0.142007  0.592615 -0.196143 -0.136676  0.020182 -0.015470    19.95   \n",
+      "..        ...       ...       ...       ...       ...       ...      ...   \n",
+      "275  0.965322  0.163718  0.047531  0.466165  0.278547  1.471988   105.89   \n",
+      "276 -0.136940 -0.620072  0.642531  0.280717 -2.649107  0.533641     1.00   \n",
+      "277 -0.279446 -0.027299  0.644344 -0.263078  1.084023  0.211933    99.99   \n",
+      "278  0.896538  0.254836 -0.738097 -0.966564 -7.263482 -1.324884     1.00   \n",
+      "279  0.049968  0.384430 -0.077884  0.565493  1.792012  0.371007     5.30   \n",
+      "\n",
+      "     Class  \n",
+      "210      1  \n",
+      "211      1  \n",
+      "212      1  \n",
+      "213      1  \n",
+      "214      1  \n",
+      "..     ...  \n",
+      "275      1  \n",
+      "276      1  \n",
+      "277      1  \n",
+      "278      1  \n",
+      "279      1  \n",
       "\n",
       "[70 rows x 31 columns]\n",
       "\n",
       "\n",
-      "Getting TRAIN DF from index 0 to 280 and from index 350 to 492\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "Getting TRAIN DF from index 0 to 210 and from index 280 to 492\n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "0    154181.0 -0.549615  2.219075  -3.522024   0.236995  1.087469 -1.235530   \n",
+      "1     35866.0 -2.044489  3.368306  -3.937111   5.623120 -3.079232 -1.253474   \n",
+      "2    132086.0 -0.361428  1.133472  -2.971360  -0.283073  0.371452 -0.574680   \n",
+      "3     47982.0 -1.232804  2.244119  -1.703826   1.492536 -1.192985 -1.686110   \n",
+      "4    141925.0  0.120301  1.974141  -0.434087   5.390793  1.289684  0.280590   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0    -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1    -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2     4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3    -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4     0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "0    0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1    0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2   -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3    0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4    0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n",
       "[422 rows x 31 columns]\n",
       "\n",
       "\n",
-      "Getting TEST DF from index 350 to 420\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "350   56624.0  -7.901421   2.720472  -7.885936   6.348334  -5.480119   \n",
-      "351    4462.0  -2.303350   1.759247  -0.359745   2.330243  -0.821628   \n",
-      "352  165132.0  -7.503926  -0.360628  -3.830952   2.486103   2.497367   \n",
-      "353   41233.0 -10.645800   5.918307 -11.671043   8.807369  -7.975501   \n",
-      "354   85285.0  -6.713407   3.921104  -9.746678   5.148263  -5.151563   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "415   70229.0   0.315642   1.636778  -1.519650   4.028571  -1.186794   \n",
-      "416   26961.0 -23.237920  13.487386 -25.188773   6.261733 -17.345188   \n",
-      "417     406.0  -2.312227   1.951992  -1.609851   3.997906  -0.522188   \n",
-      "418   18675.0 -12.339603   4.488267 -16.587073  10.107274 -10.420199   \n",
-      "419  152058.0  -3.576362   3.299436  -7.460433   7.783634  -0.398549   \n",
+      "Getting TEST DF from index 280 to 350\n",
+      "         Time         V1         V2         V3        V4         V5        V6  \\\n",
+      "280   28143.0 -27.143678  15.365804 -28.407424  6.370895 -20.087878 -4.666313   \n",
+      "281    6986.0  -4.397974   1.358367  -2.592844  2.679787  -1.128131 -1.706536   \n",
+      "282   75033.0  -0.430330   0.985633   0.645789  0.317131   0.616332 -1.347462   \n",
+      "283   65728.0   1.227614  -0.668974  -0.271785 -0.589440  -0.604795 -0.350285   \n",
+      "284   12393.0  -4.064005   3.100935  -1.188498  3.264633  -1.903562  0.320351   \n",
+      "..        ...        ...        ...        ...       ...        ...       ...   \n",
+      "345   93856.0  -6.750509   5.367416 -10.054635  9.064478  -7.968118 -2.263798   \n",
+      "346   52814.0  -1.101847  -1.632441   0.901067  0.847753  -1.249091  0.654937   \n",
+      "347   85864.0  -3.365265   2.928541  -5.660999  3.891160  -1.840375 -1.800887   \n",
+      "348  125658.0   0.224414   2.994499  -3.432458  3.986519   3.760233  0.165640   \n",
+      "349   42985.0  -4.075975   0.963031  -5.076070  4.955963  -0.161437 -2.832663   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "350 -0.333059  -8.682376   1.164431 -4.542447  ...  0.077739  1.092437   \n",
-      "351 -0.075788   0.562320  -0.399147 -0.238253  ... -0.294166 -0.932391   \n",
-      "352  1.332437  -6.783964 -15.415385  0.465512  ... -6.389132  2.249964   \n",
-      "353 -3.586806 -13.616797   6.428169 -7.368451  ...  2.571970  0.206809   \n",
-      "354 -2.099389  -5.937767   3.578780 -4.684952  ...  0.954272 -0.451086   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "415 -0.789813  -2.279807   0.472988 -1.657635  ...  0.345921 -0.108002   \n",
-      "416 -4.534989 -17.100492  15.374630 -3.845567  ...  1.769708 -1.691973   \n",
-      "417 -1.426545  -2.537387   1.391657 -2.770089  ...  0.517232 -0.035049   \n",
-      "418  0.130670 -15.600323  -1.157696 -5.304631  ... -2.089610  1.745315   \n",
-      "419 -1.968441  -3.110476  -0.328404 -1.574363  ...  0.540731  0.719526   \n",
+      "            V7         V8        V9  ...       V21       V22       V23  \\\n",
+      "280 -18.709479  17.903574 -3.722279  ...  1.796826 -1.960974 -0.902247   \n",
+      "281  -3.496197  -0.248778 -0.247768  ...  0.573574  0.176968 -0.436207   \n",
+      "282   1.078234  -0.161518 -0.492856  ... -0.016378 -0.207609 -0.164119   \n",
+      "283  -0.486365  -0.010809 -0.794944  ... -0.026055 -0.295255 -0.180459   \n",
+      "284  -0.954940  -3.277535  2.820829  ...  1.688665 -0.078845  0.193731   \n",
+      "..         ...        ...       ...  ...       ...       ...       ...   \n",
+      "345 -10.317566   4.237666 -5.324109  ...  1.909032 -0.348740  0.425001   \n",
+      "346   1.448868   0.023308 -0.136742  ...  0.610654  0.835795  1.179955   \n",
+      "347  -5.558679   2.402322 -2.848923  ...  0.875260 -0.102501 -0.606283   \n",
+      "348   1.099378  -0.654557 -2.435416  ...  0.491337 -0.984223 -0.421979   \n",
+      "349  -7.619765   1.618895 -2.992092  ...  1.030738  0.165328 -1.017502   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "350  0.320133 -0.434643 -0.380687  0.213630  0.423620 -0.105169  153.46      1  \n",
-      "351  0.172726 -0.087330 -0.156114 -0.542628  0.039566 -0.153029  239.93      1  \n",
-      "352  1.670508  0.140450  0.162147  1.207731  1.268958  0.097538   12.31      1  \n",
-      "353 -1.667801  0.558419 -0.027898  0.354254  0.273329 -0.152908    0.00      1  \n",
-      "354  0.127214 -0.339450  0.394096  1.075295  1.649906 -0.394905  252.92      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "415 -0.165442  0.279895  0.808783  0.117363  0.589595  0.309064    3.79      1  \n",
-      "416 -1.045673  0.143386  1.611577 -0.221576  1.481233  0.438125   99.99      1  \n",
-      "417 -0.465211  0.320198  0.044519  0.177840  0.261145 -0.143276    0.00      1  \n",
-      "418  1.376816 -0.554271 -1.610741  0.153725  1.212477 -1.869290  188.78      1  \n",
-      "419  0.379249 -0.616962 -0.442811  0.359841 -2.651825  0.422184    1.00      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "280  0.144011  2.024388 -0.204214  1.332153  0.385891   99.99      1  \n",
+      "281 -0.053502  0.252405 -0.657488 -0.827136  0.849573   59.00      1  \n",
+      "282  0.255280  0.454798 -0.505032 -0.039456 -0.006358   30.14      1  \n",
+      "283 -0.436539  0.494649 -0.283738 -0.001128  0.035075   98.01      1  \n",
+      "284  0.479496 -0.506603 -0.409863 -3.036271 -0.630605  179.66      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "345  0.674909 -0.784208 -0.247422  1.159581  0.197818  209.65      1  \n",
+      "346 -0.029091 -0.300896  0.699175 -0.336072 -0.177587  519.90      1  \n",
+      "347 -0.743165  0.096319 -0.135060  1.238695  0.099824    1.00      1  \n",
+      "348 -1.048058  0.726412  0.268625  0.283689  0.419102    0.00      1  \n",
+      "349 -0.477983 -0.304987 -0.106089  1.899714  0.511462    1.00      1  \n",
       "\n",
       "[70 rows x 31 columns]\n",
       "\n",
       "\n",
-      "Getting TRAIN DF from index 0 to 350 and from index 420 to 492\n",
-      "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
-      "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "Getting TRAIN DF from index 0 to 280 and from index 350 to 492\n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "0    154181.0 -0.549615  2.219075  -3.522024   0.236995  1.087469 -1.235530   \n",
+      "1     35866.0 -2.044489  3.368306  -3.937111   5.623120 -3.079232 -1.253474   \n",
+      "2    132086.0 -0.361428  1.133472  -2.971360  -0.283073  0.371452 -0.574680   \n",
+      "3     47982.0 -1.232804  2.244119  -1.703826   1.492536 -1.192985 -1.686110   \n",
+      "4    141925.0  0.120301  1.974141  -0.434087   5.390793  1.289684  0.280590   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
       "\n",
-      "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
-      "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0    -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1    -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2     4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3    -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4     0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "0    0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1    0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2   -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3    0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4    0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n"
      ]
     },
@@ -4427,86 +4362,198 @@
       "[422 rows x 31 columns]\n",
       "\n",
       "\n",
-      "Getting TEST DF from index 420 to 492\n",
+      "Getting TEST DF from index 350 to 420\n",
       "         Time         V1         V2         V3         V4         V5  \\\n",
-      "420   28143.0 -27.143678  15.365804 -28.407424   6.370895 -20.087878   \n",
-      "421   40086.0   1.083693   1.179501  -1.346150   1.998824   0.818034   \n",
-      "422   35899.0  -2.857170   4.045601  -4.197299   5.487199  -3.070776   \n",
-      "423   84789.0  -1.430864  -0.802529   1.123320   0.389760  -0.281214   \n",
-      "424    8528.0   0.447396   2.481954  -5.660814   4.455923  -2.443780   \n",
+      "350   20931.0 -16.367923   9.223692 -23.270631  11.844777  -9.462037   \n",
+      "351   49985.0  -1.554216   1.694229  -0.903334   2.425436  -2.899787   \n",
+      "352  170348.0   1.991976   0.158476  -2.583441   0.408670   1.151147   \n",
+      "353   44532.0  -0.234922   0.355413   1.972183  -1.255593  -0.681387   \n",
+      "354   91407.0  -3.951209   2.881805  -6.421490   2.434181  -1.327325   \n",
       "..        ...        ...        ...        ...        ...        ...   \n",
-      "487  154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
-      "488   72327.0  -4.198735   0.194121  -3.917586   3.920748  -1.875486   \n",
-      "489  155965.0  -1.201398   4.864535  -8.328823   7.652399  -0.167445   \n",
-      "490   27252.0 -25.942434  14.601998 -27.368650   6.378395 -19.104033   \n",
-      "491   18399.0 -14.474437   6.503185 -17.712632  11.270352  -4.150142   \n",
+      "415   97235.0 -17.537592  12.352519 -20.134613  11.122771 -14.571080   \n",
+      "416  154309.0  -0.082983  -3.935919  -2.616709   0.163310  -1.400952   \n",
+      "417   25231.0 -16.598665  10.541751 -19.818982   6.017295 -13.025901   \n",
+      "418   93879.0 -12.833631   7.508790 -20.491952   7.465780 -11.575304   \n",
+      "419  148479.0  -1.541678   3.846800  -7.604114   3.121459  -1.254924   \n",
       "\n",
       "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "420 -4.666313 -18.709479  17.903574 -3.722279  ...  1.796826 -1.960974   \n",
-      "421 -0.771419   0.230307   0.093683 -0.167594  ... -0.312000 -0.639700   \n",
-      "422 -1.422686  -5.651314   2.019657 -5.015491  ...  1.080323 -0.561384   \n",
-      "423 -0.055123   1.326232   0.195700 -0.546890  ...  0.325575  0.014002   \n",
-      "424 -2.185040  -4.716143   1.249803 -0.718326  ...  0.756053  0.140168   \n",
+      "350 -2.450444 -16.925152   1.384208 -6.287736  ... -2.343674  1.004602   \n",
+      "351  0.133028  -0.286226   0.555945 -1.394918  ...  0.493436  0.733393   \n",
+      "352 -0.096695   0.223050  -0.068384  0.577829  ... -0.164350 -0.295135   \n",
+      "353 -0.665732   0.059110  -0.003153  1.122451  ...  0.220670  0.912107   \n",
+      "354 -2.122106  -3.227533  -0.685560  0.775985  ...  1.410479  0.279403   \n",
       "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "487 -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
-      "488 -2.118933  -3.614445   1.687884 -2.189871  ...  0.801312 -0.183001   \n",
-      "489 -2.767695  -3.176421   1.623279 -4.367228  ...  0.532320 -0.556913   \n",
-      "490 -4.684806 -18.261393  17.052566 -3.742605  ...  1.784316 -1.917759   \n",
-      "491 -3.372098 -16.535807  -1.443947 -6.815273  ... -2.475962  0.342391   \n",
+      "415 -0.381622 -23.928661  -4.724921 -8.603038  ... -4.352213  2.389041   \n",
+      "416 -0.809419   1.501580  -0.471000  1.519743  ...  0.702672 -0.182305   \n",
+      "417 -4.128779 -14.118865  11.161144 -4.099551  ...  1.725853 -1.151606   \n",
+      "418 -5.140999 -14.020564   8.332120 -4.337713  ...  2.966842  0.615344   \n",
+      "419 -2.084875  -2.385027   1.471140 -2.530507  ...  1.096405  1.064222   \n",
+      "\n",
+      "          V23       V24       V25       V26       V27       V28   Amount  \\\n",
+      "350  1.188212 -1.047184 -0.035573  0.664900  2.122796 -1.416741     1.00   \n",
+      "351  0.202350  0.492054 -0.183791 -0.199917  0.395201  0.027693   360.00   \n",
+      "352 -0.072173 -0.450261  0.313267 -0.289617  0.002988 -0.015309    42.53   \n",
+      "353 -0.286338  0.451208  0.188315 -0.531846  0.123185  0.039581     1.00   \n",
+      "354  0.570821  0.656271 -0.298601 -0.407571 -1.378703  1.379130    52.69   \n",
+      "..        ...       ...       ...       ...       ...       ...      ...   \n",
+      "415  2.019128  0.627192 -1.085997 -0.071803 -3.838198 -0.802564     9.82   \n",
+      "416 -0.921017  0.111635 -0.071622 -1.125881 -0.170947  0.126221  1096.99   \n",
+      "417 -0.680052  0.108176  1.066878 -0.233720  1.707521  0.511423    99.99   \n",
+      "418 -0.766495  0.431261 -0.104975 -0.010091 -2.400811 -0.720557   104.03   \n",
+      "419  0.065370  0.257209 -0.693654 -0.335702  0.577052  0.398348   122.68   \n",
+      "\n",
+      "     Class  \n",
+      "350      1  \n",
+      "351      1  \n",
+      "352      1  \n",
+      "353      1  \n",
+      "354      1  \n",
+      "..     ...  \n",
+      "415      1  \n",
+      "416      1  \n",
+      "417      1  \n",
+      "418      1  \n",
+      "419      1  \n",
       "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "420 -0.902247  0.144011  2.024388 -0.204214  1.332153  0.385891   99.99      1  \n",
-      "421 -0.120249 -0.180218  0.609283 -0.339524  0.096701  0.114972    1.00      1  \n",
-      "422  0.102678 -0.067195 -0.476931 -0.103716  1.166961  0.663632    1.00      1  \n",
-      "423  0.844946  0.114963  0.156365 -0.619437 -0.120351  0.035594  354.33      1  \n",
-      "424  0.665411  0.131464 -1.908217  0.334808  0.748534  0.175414    1.00      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "487 -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
-      "488 -0.440387  0.292539 -0.144967 -0.251744  1.249414 -0.131525  238.90      1  \n",
-      "489  0.192444 -0.698588  0.025003  0.514968  0.378105 -0.053133    0.77      1  \n",
-      "490 -1.235787  0.161105  1.820378 -0.219359  1.388786  0.406810   99.99      1  \n",
-      "491 -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.00      1  \n",
+      "[70 rows x 31 columns]\n",
+      "\n",
+      "\n",
+      "Getting TRAIN DF from index 0 to 350 and from index 420 to 492\n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "0    154181.0 -0.549615  2.219075  -3.522024   0.236995  1.087469 -1.235530   \n",
+      "1     35866.0 -2.044489  3.368306  -3.937111   5.623120 -3.079232 -1.253474   \n",
+      "2    132086.0 -0.361428  1.133472  -2.971360  -0.283073  0.371452 -0.574680   \n",
+      "3     47982.0 -1.232804  2.244119  -1.703826   1.492536 -1.192985 -1.686110   \n",
+      "4    141925.0  0.120301  1.974141  -0.434087   5.390793  1.289684  0.280590   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
+      "\n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "0    -0.279313  0.514361 -1.849927  ...  0.364130  0.210428 -0.366019   \n",
+      "1    -5.778880  1.707428 -4.467103  ...  1.483594  0.834311 -0.148486   \n",
+      "2     4.031513 -0.934398 -0.768255  ...  0.110815  0.563861 -0.408436   \n",
+      "3    -1.864612  0.856122 -1.973535  ...  0.560475  0.165682 -0.013754   \n",
+      "4     0.221963  0.067827 -1.387054  ... -0.038690  0.204554 -0.167313   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
+      "\n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "0    0.015803  0.349212  0.647302  0.171929  0.117188    0.76      1  \n",
+      "1    0.001669 -0.038996  0.389526  1.300236  0.549940    7.61      1  \n",
+      "2   -0.880079  1.408392 -0.137402 -0.001250 -0.182751  480.72      1  \n",
+      "3    0.474935 -0.218725  0.302809  0.466031  0.250134    0.76      1  \n",
+      "4    0.791547 -0.223675  0.473223 -0.160202  0.065039    0.76      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
+      "\n",
+      "[422 rows x 31 columns]\n",
+      "\n",
+      "\n",
+      "Getting TEST DF from index 420 to 492\n",
+      "         Time        V1        V2         V3         V4        V5        V6  \\\n",
+      "420   62080.0 -1.599457  2.607720  -2.987193   3.064156 -2.497914 -0.541103   \n",
+      "421   29531.0 -1.060676  2.608579  -2.971679   4.360089  3.738853 -2.728395   \n",
+      "422  148074.0 -2.219219  0.727831  -5.458230   5.924850  3.932464 -3.085984   \n",
+      "423   68357.0  1.232604 -0.548931   1.087873   0.894082 -1.433055 -0.356797   \n",
+      "424   76857.0  1.140208  1.156431  -1.471578   2.076278  0.774809 -1.002532   \n",
+      "..        ...       ...       ...        ...        ...       ...       ...   \n",
+      "487   91554.0 -5.100256  3.633442  -3.843919   0.183208 -1.183997  1.602139   \n",
+      "488   36170.0 -5.685013  5.776516  -7.064977   5.902715 -4.715564 -1.755633   \n",
+      "489   25426.0  1.125336  1.130146  -0.962975   2.675688  0.990075 -0.243318   \n",
+      "490   11092.0  0.378275  3.914797  -5.726872   6.094141  1.698875 -2.807314   \n",
+      "491   14152.0 -4.710529  8.636214 -15.496222  10.313349 -4.351341 -3.322689   \n",
+      "\n",
+      "            V7        V8        V9  ...       V21       V22       V23  \\\n",
+      "420  -2.277786  1.268166 -1.997331  ...  0.662933  0.184087 -0.089452   \n",
+      "421   1.987616 -0.357345 -2.757535  ... -0.063168 -0.207385 -0.183261   \n",
+      "422  -1.677870  0.865075 -3.177260  ...  0.417472 -0.817343 -0.028752   \n",
+      "423  -0.717492  0.003167 -0.100397  ... -0.448671 -0.517568  0.012833   \n",
+      "424   0.264948  0.013162  0.248835  ... -0.387895 -0.866812 -0.121583   \n",
+      "..         ...       ...       ...  ...       ...       ...       ...   \n",
+      "487  -3.005953 -8.645038  1.285458  ...  8.280439 -2.797150  1.090707   \n",
+      "488  -6.958679  3.877795 -5.541529  ...  1.128641 -0.962960 -0.110045   \n",
+      "489   0.316192  0.122960 -1.143343  ... -0.166737 -0.521934 -0.112376   \n",
+      "490  -0.591118 -0.123496 -2.530713  ...  0.149896 -0.601967 -0.613724   \n",
+      "491 -10.788373  5.060381 -5.689311  ...  1.990545  0.223785  0.554408   \n",
+      "\n",
+      "          V24       V25       V26       V27       V28  Amount  Class  \n",
+      "420 -0.506000 -0.062259 -0.052714  0.322854  0.135268  180.00      1  \n",
+      "421 -0.103679  0.896178  0.407387 -0.130918  0.192177    0.68      1  \n",
+      "422  0.025723 -0.825835 -0.013089  0.413291 -0.131387    0.00      1  \n",
+      "423  0.699217  0.527258 -0.322607  0.080805  0.035427   19.59      1  \n",
+      "424 -0.356109  0.634573 -0.306311  0.094087  0.121065    1.00      1  \n",
+      "..        ...       ...       ...       ...       ...     ...    ...  \n",
+      "487 -0.159260  0.532156 -0.497126  0.943622  0.553581  261.22      1  \n",
+      "488 -0.177733 -0.089175 -0.049447  0.303445  0.219380  111.70      1  \n",
+      "489 -0.592077  0.520791  0.043354  0.015159  0.063612    3.76      1  \n",
+      "490 -0.403114  1.568445  0.521884  0.527938  0.411910    1.00      1  \n",
+      "491 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.00      1  \n",
       "\n",
       "[72 rows x 31 columns]\n",
       "Getting TRAIN DF from index 0 to 420\n",
       "         Time         V1         V2         V3         V4         V5  \\\n",
-      "0    129808.0   1.522080  -0.519429  -2.581685   0.774741   0.206722   \n",
-      "1     48884.0  -2.139051   1.394368  -0.612035   1.049327  -1.162102   \n",
-      "2     78725.0  -4.312479   1.886476  -2.338634  -0.475243  -1.185444   \n",
-      "3     41413.0 -15.140450   7.378042 -16.356367   9.194935 -13.466163   \n",
-      "4     41227.0  -9.001351   6.613284 -12.423635   7.519929 -10.266255   \n",
+      "0    154181.0  -0.549615   2.219075  -3.522024   0.236995   1.087469   \n",
+      "1     35866.0  -2.044489   3.368306  -3.937111   5.623120  -3.079232   \n",
+      "2    132086.0  -0.361428   1.133472  -2.971360  -0.283073   0.371452   \n",
+      "3     47982.0  -1.232804   2.244119  -1.703826   1.492536  -1.192985   \n",
+      "4    141925.0   0.120301   1.974141  -0.434087   5.390793   1.289684   \n",
       "..        ...        ...        ...        ...        ...        ...   \n",
-      "415   70229.0   0.315642   1.636778  -1.519650   4.028571  -1.186794   \n",
-      "416   26961.0 -23.237920  13.487386 -25.188773   6.261733 -17.345188   \n",
-      "417     406.0  -2.312227   1.951992  -1.609851   3.997906  -0.522188   \n",
-      "418   18675.0 -12.339603   4.488267 -16.587073  10.107274 -10.420199   \n",
-      "419  152058.0  -3.576362   3.299436  -7.460433   7.783634  -0.398549   \n",
+      "415   97235.0 -17.537592  12.352519 -20.134613  11.122771 -14.571080   \n",
+      "416  154309.0  -0.082983  -3.935919  -2.616709   0.163310  -1.400952   \n",
+      "417   25231.0 -16.598665  10.541751 -19.818982   6.017295 -13.025901   \n",
+      "418   93879.0 -12.833631   7.508790 -20.491952   7.465780 -11.575304   \n",
+      "419  148479.0  -1.541678   3.846800  -7.604114   3.121459  -1.254924   \n",
       "\n",
       "           V6         V7         V8        V9  ...       V21       V22  \\\n",
-      "0   -1.431020   0.757011  -0.444418  0.997921  ...  0.019649 -0.211678   \n",
-      "1   -0.768219  -1.997237   0.574997 -0.980832  ...  0.696955  0.740003   \n",
-      "2   -2.112079  -2.122793   0.272565  0.290273  ...  0.550541 -0.067870   \n",
-      "3   -2.958431 -16.165539  10.075254 -7.901821  ...  3.147428  0.341678   \n",
-      "4   -2.113208  -9.984287   5.541941 -7.383705  ...  1.775891 -1.224758   \n",
+      "0   -1.235530  -0.279313   0.514361 -1.849927  ...  0.364130  0.210428   \n",
+      "1   -1.253474  -5.778880   1.707428 -4.467103  ...  1.483594  0.834311   \n",
+      "2   -0.574680   4.031513  -0.934398 -0.768255  ...  0.110815  0.563861   \n",
+      "3   -1.686110  -1.864612   0.856122 -1.973535  ...  0.560475  0.165682   \n",
+      "4    0.280590   0.221963   0.067827 -1.387054  ... -0.038690  0.204554   \n",
       "..        ...        ...        ...       ...  ...       ...       ...   \n",
-      "415 -0.789813  -2.279807   0.472988 -1.657635  ...  0.345921 -0.108002   \n",
-      "416 -4.534989 -17.100492  15.374630 -3.845567  ...  1.769708 -1.691973   \n",
-      "417 -1.426545  -2.537387   1.391657 -2.770089  ...  0.517232 -0.035049   \n",
-      "418  0.130670 -15.600323  -1.157696 -5.304631  ... -2.089610  1.745315   \n",
-      "419 -1.968441  -3.110476  -0.328404 -1.574363  ...  0.540731  0.719526   \n",
-      "\n",
-      "          V23       V24       V25       V26       V27       V28  Amount  Class  \n",
-      "0   -0.247452 -0.279472  0.239646 -0.508398 -0.015551  0.041881  276.17      1  \n",
-      "1   -0.155115 -0.050607  0.268368 -0.469433 -0.405814 -0.152171   19.73      1  \n",
-      "2   -1.114692  0.269069 -0.020572 -0.963489 -0.918888  0.001454   60.00      1  \n",
-      "3   -1.150162  0.795190 -0.194542  0.145964 -2.458680 -1.189888  106.55      1  \n",
-      "4    0.082594  0.452089  0.463827 -0.296928  0.526506 -0.450890  459.07      1  \n",
-      "..        ...       ...       ...       ...       ...       ...     ...    ...  \n",
-      "415 -0.165442  0.279895  0.808783  0.117363  0.589595  0.309064    3.79      1  \n",
-      "416 -1.045673  0.143386  1.611577 -0.221576  1.481233  0.438125   99.99      1  \n",
-      "417 -0.465211  0.320198  0.044519  0.177840  0.261145 -0.143276    0.00      1  \n",
-      "418  1.376816 -0.554271 -1.610741  0.153725  1.212477 -1.869290  188.78      1  \n",
-      "419  0.379249 -0.616962 -0.442811  0.359841 -2.651825  0.422184    1.00      1  \n",
+      "415 -0.381622 -23.928661  -4.724921 -8.603038  ... -4.352213  2.389041   \n",
+      "416 -0.809419   1.501580  -0.471000  1.519743  ...  0.702672 -0.182305   \n",
+      "417 -4.128779 -14.118865  11.161144 -4.099551  ...  1.725853 -1.151606   \n",
+      "418 -5.140999 -14.020564   8.332120 -4.337713  ...  2.966842  0.615344   \n",
+      "419 -2.084875  -2.385027   1.471140 -2.530507  ...  1.096405  1.064222   \n",
+      "\n",
+      "          V23       V24       V25       V26       V27       V28   Amount  \\\n",
+      "0   -0.366019  0.015803  0.349212  0.647302  0.171929  0.117188     0.76   \n",
+      "1   -0.148486  0.001669 -0.038996  0.389526  1.300236  0.549940     7.61   \n",
+      "2   -0.408436 -0.880079  1.408392 -0.137402 -0.001250 -0.182751   480.72   \n",
+      "3   -0.013754  0.474935 -0.218725  0.302809  0.466031  0.250134     0.76   \n",
+      "4   -0.167313  0.791547 -0.223675  0.473223 -0.160202  0.065039     0.76   \n",
+      "..        ...       ...       ...       ...       ...       ...      ...   \n",
+      "415  2.019128  0.627192 -1.085997 -0.071803 -3.838198 -0.802564     9.82   \n",
+      "416 -0.921017  0.111635 -0.071622 -1.125881 -0.170947  0.126221  1096.99   \n",
+      "417 -0.680052  0.108176  1.066878 -0.233720  1.707521  0.511423    99.99   \n",
+      "418 -0.766495  0.431261 -0.104975 -0.010091 -2.400811 -0.720557   104.03   \n",
+      "419  0.065370  0.257209 -0.693654 -0.335702  0.577052  0.398348   122.68   \n",
+      "\n",
+      "     Class  \n",
+      "0        1  \n",
+      "1        1  \n",
+      "2        1  \n",
+      "3        1  \n",
+      "4        1  \n",
+      "..     ...  \n",
+      "415      1  \n",
+      "416      1  \n",
+      "417      1  \n",
+      "418      1  \n",
+      "419      1  \n",
       "\n",
       "[420 rows x 31 columns]\n"
      ]
@@ -4566,10 +4613,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# importing packages\n",
+    "import math\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import scipy.stats as stats\n",
+    "import sklearn\n",
+    "import imblearn\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "plt.style.use('ggplot')\n",
+    "\n",
     "from imblearn.over_sampling import RandomOverSampler\n",
     "from sklearn.model_selection import train_test_split\n",
     "from sklearn.linear_model import LogisticRegression\n",
@@ -4587,6 +4645,7 @@
     "from sklearn.model_selection import cross_val_score\n",
     "from sklearn.utils import shuffle\n",
     "from sklearn.preprocessing import MinMaxScaler\n",
+    "from sklearn.calibration import CalibratedClassifierCV\n",
     "from collections import Counter\n",
     "\n",
     "class modelpipeline:\n",
@@ -4607,7 +4666,7 @@
     "        if isinstance(n_fold, int) and n_fold > 1:\n",
     "            # Initialize dictionary to store results\n",
     "            self.store = {\"accuracy\": [], \"actual_accuracy\": [], \"sensitivity\": [], \"specificity\": [], \n",
-    "                          \"precision\": [], \"f1\": [], \"auc\": [], \"final\": {}}\n",
+    "                          \"precision\": [], \"f1\": [], \"auc\": [], \"pr_auc\": [], \"final\": {}}\n",
     "            \n",
     "            # Split dataframes into 2, one for positive response and one for negative\n",
     "            df_zero = df[df[response] == 0]\n",
@@ -4707,6 +4766,7 @@
     "            self.store['final']['precision'] = self.avg(self.store['precision'])\n",
     "            self.store['final']['f1'] = self.avg(self.store['f1'])\n",
     "            self.store['final']['auc'] = self.avg(self.store['auc'])\n",
+    "            self.store['final']['pr_auc'] = self.avg(self.store['pr_auc'])\n",
     "            self.store['final']['actual_accuracy'] = self.avg(self.store['actual_accuracy'])\n",
     "            \n",
     "            print('Final Results of ' + str(n_fold) + ' fold CV:')\n",
@@ -4731,21 +4791,36 @@
     "                                      n_estimators=100, random_state=42)\n",
     "            model.fit(X_train, y_train, eval_set=[(X_train, y_train), (X_test, y_test)], verbose=5)\n",
     "        elif modelname == 'XGBoostplus1':\n",
-    "            # XGBoost with one less depth\n",
+    "            # XGBoost with one more depth\n",
     "            model = xgb.XGBClassifier(seed=42, nthread=1, max_depth=math.ceil(math.sqrt(X_train.shape[1]))+1,\n",
     "                                      n_estimators=100, random_state=42)\n",
     "            model.fit(X_train, y_train, eval_set=[(X_train, y_train), (X_test, y_test)], verbose=5)\n",
+    "        elif modelname == 'XGBoostplus3':\n",
+    "            # XGBoost with 3 more depth\n",
+    "            model = xgb.XGBClassifier(seed=42, nthread=1, max_depth=math.ceil(math.sqrt(X_train.shape[1]))+3,\n",
+    "                                      n_estimators=100, random_state=42)\n",
+    "            model.fit(X_train, y_train, eval_set=[(X_train, y_train), (X_test, y_test)], verbose=5)\n",
+    "            \n",
+    "        # Use Linear SVC instead of sklearn svm.SVC as the former as way faster processing speed\n",
+    "        # However, LinearSVC does not have .predict_proba function to get probability of response 1\n",
+    "        # Hence, we need to use CalibratedClassifier that provides .predict_proba functionality\n",
+    "        # On the bad side, it has it's own CV, so we put 10 fold CV to minimize the dataset loss due to train-test fold\n",
+    "        # Ideally, we should use the older pipeline code that does not do customized k-fold CV (refer to SCI16. Jupyter Notebook)\n",
     "        elif modelname == 'SVM_Linear':\n",
     "            model = LinearSVC(random_state=42) # default C=1 (regularization parameter)\n",
+    "            model = CalibratedClassifierCV(model, cv=10)\n",
     "            model.fit(X_train,y_train)\n",
     "        elif modelname == 'SVM_Linear2':\n",
-    "            model = LinearSVC(random_state=42, C=2) \n",
+    "            model = LinearSVC(random_state=42, C=2)\n",
+    "            model = CalibratedClassifierCV(model, cv=10)\n",
     "            model.fit(X_train,y_train)\n",
     "        elif modelname == 'SVM_Linear0.5':\n",
     "            model = LinearSVC(random_state=42, C=0.5)\n",
+    "            model = CalibratedClassifierCV(model, cv=10)\n",
     "            model.fit(X_train,y_train)\n",
     "        elif modelname == 'SVM_Linear0.3':\n",
     "            model = LinearSVC(random_state=42, C=0.3)\n",
+    "            model = CalibratedClassifierCV(model, cv=10)\n",
     "            model.fit(X_train,y_train)\n",
     "        elif modelname == 'RandomForest':\n",
     "            treedepth = math.ceil(math.sqrt(X_train.shape[1]))\n",
@@ -4759,6 +4834,14 @@
     "            treedepth = math.ceil(math.sqrt(X_train.shape[1]))-2\n",
     "            model = RandomForestClassifier(random_state=42, max_depth=treedepth, n_estimators=100)\n",
     "            model.fit(X_train,y_train)\n",
+    "        elif modelname == 'RandomForestplus2':\n",
+    "            treedepth = math.ceil(math.sqrt(X_train.shape[1]))+2\n",
+    "            model = RandomForestClassifier(random_state=42, max_depth=treedepth, n_estimators=100)\n",
+    "            model.fit(X_train,y_train)\n",
+    "        elif modelname == 'RandomForestplus4':\n",
+    "            treedepth = math.ceil(math.sqrt(X_train.shape[1]))+4\n",
+    "            model = RandomForestClassifier(random_state=42, max_depth=treedepth, n_estimators=100)\n",
+    "            model.fit(X_train,y_train)\n",
     "        else:\n",
     "            # Parameters based on gridsearchcv of modelname = logistic regresion\n",
     "            # Leave parameter blank for modelname to run this instance of logistic regression\n",
@@ -4766,7 +4849,8 @@
     "            model.fit(X_train,y_train)\n",
     "        \n",
     "        y_predict = model.predict(X_test)\n",
-    "        store = evaluate.model_results(y_test, y_predict, text, store)\n",
+    "        y_predictprob = model.predict_proba(X_test)[:, 1]\n",
+    "        store = evaluate.model_results(y_test, y_predict, y_predictprob, text, store, i, n_fold)\n",
     "        \n",
     "        # Store model for usage in measuring actual accuracy of fraud cases\n",
     "        store['model'] = model\n",
@@ -4823,7 +4907,7 @@
     "        pass\n",
     "    \n",
     "    @staticmethod\n",
-    "    def model_results(y_test, y_predict, text, store):\n",
+    "    def model_results(y_test, y_predict, y_predictprob, text, store, i, n_fold):\n",
     "        cm = metrics.confusion_matrix(y_test, y_predict)\n",
     "        print(cm)\n",
     "        RFC_CM = pd.DataFrame(cm, ['Actual 0', 'Actual 1'], ['Predict 0', 'Predict 1'])\n",
@@ -4836,6 +4920,7 @@
     "        b += 0.5 \n",
     "        t -= 0.5 \n",
     "        plt.ylim(b, t) \n",
+    "        plt.figure(1,figsize=(4,4))\n",
     "        plt.show() \n",
     "\n",
     "        accuracy = metrics.accuracy_score(y_test, y_predict)\n",
@@ -4849,7 +4934,7 @@
     "        # print('Precision: ' + str(precision))\n",
     "        f1 = 2 * (recall * precision)/(recall + precision)\n",
     "        # print('f1 score: ' + str(f1))\n",
-    "        auc = evaluate.ROC(y_test, y_predict, text)\n",
+    "        auc, pr_auc = evaluate.ROC(y_test, y_predictprob, text, i, n_fold)\n",
     "        \n",
     "        store['accuracy'].append(accuracy)\n",
     "        store['sensitivity'].append(sensitivity)\n",
@@ -4857,23 +4942,59 @@
     "        store['precision'].append(precision)\n",
     "        store['f1'].append(f1)\n",
     "        store['auc'].append(auc)\n",
+    "        store['pr_auc'].append(pr_auc)\n",
     "\n",
     "        return store\n",
     "    \n",
+    "#     @staticmethod\n",
+    "#     def ROC(y_test, y_predictprob, text):\n",
+    "#         # IMPORTANT: first argument is true values, second argument is predicted probabilities\n",
+    "#         auc = metrics.roc_auc_score(y_test, y_predictprob)\n",
+    "#         # print(\"AUC value is: \" + str(auc))\n",
+    "#         fpr, tpr, thresholds = metrics.roc_curve(y_test, y_predictprob)\n",
+    "#         # print(\"AUC value is also: \" + str(metrics.auc(fpr, tpr)))\n",
+    "#         plt.plot(fpr, tpr)\n",
+    "#         plt.xlim([0.0, 1.0])\n",
+    "#         plt.ylim([0.0, 1.0])\n",
+    "#         plt.title('ROC curve for ' + text)\n",
+    "#         plt.xlabel('False Positive Rate (1 - Specificity)')\n",
+    "#         plt.ylabel('True Positive Rate (Sensitivity)')\n",
+    "#         plt.grid(True)\n",
+    "#         return auc\n",
+    "\n",
     "    @staticmethod\n",
-    "    def ROC(y_test, y_predict, text):\n",
+    "    def ROC(y_test, y_predictprob, text, i, n_fold):\n",
     "        # IMPORTANT: first argument is true values, second argument is predicted probabilities\n",
-    "        auc = metrics.roc_auc_score(y_test, y_predict)\n",
+    "        auc = metrics.roc_auc_score(y_test, y_predictprob)\n",
     "        # print(\"AUC value is: \" + str(auc))\n",
-    "        fpr, tpr, thresholds = metrics.roc_curve(y_test, y_predict)\n",
-    "        plt.plot(fpr, tpr)\n",
-    "        plt.xlim([0.0, 1.0])\n",
-    "        plt.ylim([0.0, 1.0])\n",
-    "        plt.title('ROC curve for ' + text)\n",
-    "        plt.xlabel('False Positive Rate (1 - Specificity)')\n",
-    "        plt.ylabel('True Positive Rate (Sensitivity)')\n",
-    "        plt.grid(True)\n",
-    "        return auc\n",
+    "        print(\"AUC value is: \" + str(auc))\n",
+    "        fpr, tpr, thresholds = metrics.roc_curve(y_test, y_predictprob)\n",
+    "        # print(\"AUC value is also: \" + str(metrics.auc(fpr, tpr)))\n",
+    "        # Calculate precision and recall for each threshold\n",
+    "        precision, recall, _ = metrics.precision_recall_curve(y_test, y_predictprob)\n",
+    "        pr_auc = metrics.auc(recall, precision)\n",
+    "        # Only show ROC-AUC graph and PR-AUC graph on last iteration as they look very similar\n",
+    "        # The full results can be obtained in the results section\n",
+    "        if n_fold == i:\n",
+    "            fullgraph = plt.figure(1,figsize=(10,20))\n",
+    "            plt.style.use('ggplot')\n",
+    "            ROCAUC_plot = fullgraph.add_subplot(211)\n",
+    "            ROCAUC_plot.plot(fpr, tpr, color='blue')\n",
+    "            ROCAUC_plot.set_title('ROC curve for ' + text)\n",
+    "            ROCAUC_plot.set_xlabel('False Positive Rate (1 - Specificity)')\n",
+    "            ROCAUC_plot.set_ylabel('True Positive Rate (Sensitivity)')\n",
+    "            ROCAUC_plot.set_xlim([0.0, 1.0])\n",
+    "            ROCAUC_plot.set_ylim([0.0, 1.0])\n",
+    "            ROCAUC_plot.grid(True)\n",
+    "            PRAUC_plot = fullgraph.add_subplot(212)\n",
+    "            PRAUC_plot.plot(precision, recall, color='purple')\n",
+    "            PRAUC_plot.set_title('Precision-Recall curve for ' + text)\n",
+    "            PRAUC_plot.set_xlabel('Recall')\n",
+    "            PRAUC_plot.set_ylabel('Precision')\n",
+    "            PRAUC_plot.set_xlim([0.0, 1.0])\n",
+    "            PRAUC_plot.set_ylim([0.0, 1.0])\n",
+    "            PRAUC_plot.grid(True)\n",
+    "        return auc, pr_auc\n",
     "\n",
     "    @staticmethod\n",
     "    def actual_acc(df, model, response):\n",
@@ -4898,7 +5019,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4915,7 +5036,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -4934,9 +5055,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 36,
    "metadata": {
-    "scrolled": true
+    "scrolled": false
    },
    "outputs": [
     {
@@ -4954,20 +5075,19 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.997734882804806\n",
       "Iteration 1 out of 7 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -4982,7 +5102,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -4994,6 +5114,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.978770153915417\n",
       "Iteration 2 out of 7 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5008,7 +5129,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5020,6 +5141,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9736666057007795\n",
       "Iteration 3 out of 7 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5034,7 +5156,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5046,6 +5168,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9718615464700752\n",
       "Iteration 4 out of 7 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5060,7 +5183,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5072,6 +5195,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9650514223810462\n",
       "Iteration 5 out of 7 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5086,7 +5210,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5098,6 +5222,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9839560060778301\n",
       "Iteration 6 out of 7 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5112,7 +5237,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5124,18 +5249,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9759824356964858\n",
       "Iteration 7 out of 7 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 7 fold CV:\n",
-      "{'accuracy': 0.9776445318579327, 'sensitivity': 0.9087301587301587, 'specificity': 0.9777641118356203, 'precision': 0.06609603274020268, 'f1': 0.12321786802174581, 'auc': 0.9432471352828895, 'actual_accuracy': 0.9155052264808363}\n"
+      "{'accuracy': 0.9776445318579327, 'sensitivity': 0.9087301587301587, 'specificity': 0.9777641118356203, 'precision': 0.06609603274020268, 'f1': 0.12321786802174581, 'auc': 0.9781461504352057, 'pr_auc': 0.745030687832921, 'actual_accuracy': 0.9155052264808363}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -5156,7 +5282,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 37,
    "metadata": {
     "scrolled": true
    },
@@ -5206,19 +5332,27 @@
        "  0.12301587301587302,\n",
        "  0.12327506899724014,\n",
        "  0.11439114391143912],\n",
-       " 'auc': [0.9747333914854105,\n",
-       "  0.9385759306677172,\n",
-       "  0.9182676074172036,\n",
-       "  0.9533417513154563,\n",
-       "  0.9320732153408932,\n",
-       "  0.9668765300092856,\n",
-       "  0.9188615207442604],\n",
+       " 'auc': [0.997734882804806,\n",
+       "  0.978770153915417,\n",
+       "  0.9736666057007795,\n",
+       "  0.9718615464700752,\n",
+       "  0.9650514223810462,\n",
+       "  0.9839560060778301,\n",
+       "  0.9759824356964858],\n",
+       " 'pr_auc': [0.7537427181570996,\n",
+       "  0.7912902473783507,\n",
+       "  0.7153430278022634,\n",
+       "  0.7420659003789408,\n",
+       "  0.6810637647449185,\n",
+       "  0.8074947692398422,\n",
+       "  0.7242143871290315],\n",
        " 'final': {'accuracy': 0.9776445318579327,\n",
        "  'sensitivity': 0.9087301587301587,\n",
        "  'specificity': 0.9777641118356203,\n",
        "  'precision': 0.06609603274020268,\n",
        "  'f1': 0.12321786802174581,\n",
-       "  'auc': 0.9432471352828895,\n",
+       "  'auc': 0.9781461504352057,\n",
+       "  'pr_auc': 0.745030687832921,\n",
        "  'actual_accuracy': 0.9155052264808363},\n",
        " 'model': LogisticRegression(C=0.8, class_weight=None, dual=False, fit_intercept=True,\n",
        "                    intercept_scaling=1, l1_ratio=None, max_iter=300,\n",
@@ -5227,7 +5361,7 @@
        "                    warm_start=False)}"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5238,7 +5372,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -5249,11 +5383,12 @@
        " 'specificity': 0.9777641118356203,\n",
        " 'precision': 0.06609603274020268,\n",
        " 'f1': 0.12321786802174581,\n",
-       " 'auc': 0.9432471352828895,\n",
+       " 'auc': 0.9781461504352057,\n",
+       " 'pr_auc': 0.745030687832921,\n",
        " 'actual_accuracy': 0.9155052264808363}"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5266,14 +5401,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Try 7 fold cross validation instead of 5 for logistic regression"
+    "### Try 5 fold cross validation instead of 7 for logistic regression"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 39,
    "metadata": {
-    "scrolled": true
+    "scrolled": false
    },
    "outputs": [
     {
@@ -5291,7 +5426,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAERCAYAAACdPxtnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1gUV/vw8e/SRJoGpVgRG8FuRDBq1GCN5Re7JjYUI3ZFib1F0djBgooBO4qNmNijiT2iYo8xMXaxgAqKCIjAvn/wuo8rCy6yiLj3J9deV/bM2TNnh3XuOWXOKJRKpRIhhBB6ySCvKyCEECLvSBAQQgg9JkFACCH0mAQBIYTQYxIEhBBCj0kQ+MjJ5K/3R461yI90EgQuXbrEmDFjcHd3p1q1ari7uzNmzBiuX7+ui+I1OnnyJK1ataJKlSq0bNlSZ+UuWrQIJycnUlJSdFZmZsLCwnBycsLJyYl//vlHY54rV66o8kRGRmar/M2bNzNjxoy35nN3d8fHxydbZb8pt/4er/To0YNvvvlG5+VqEhkZiZOTE5s3b9b6M7///rvaMXz1t71169Y71+P138frr6pVq/Lll18yYcIEYmJi3rn8D5mTkxN+fn55XQ29YJTTAkJDQ5k2bRqfffYZQ4YMwc7Ojjt37rB69Wo6dOhAUFAQtWrV0kVd1cycOZPExEQCAgIoXLiwzsrt0KEDn3/+OUZGOT40WjMwMGD37t18+umnGbbt2LHjnctdunQpn3322VvzLViwAAsLi3feD+Te3yMv2NraEhISQpkyZbT+zKpVq9QuHBo2bEhISAj29vY5ro+fnx+2traq98+fP+fMmTMEBwdz9epVQkNDc7yPD01ISAjFixfP62rohRyd6c6dO8fUqVPp2rUrkyZNUtv21Vdf0bFjR0aNGsVvv/2GoaFhjir6pidPnlCzZk0aNmyo03KLFy/+3n98tWrVYs+ePXh7e2fYtnPnTipVqsTff/+da/uvWrVqjsvIrb9HXjAxMcHFxSVHZRQpUoQiRYropD6VK1fGwcFBLa1hw4akpqby008/cfXqVcqXL6+TfX0ocnr8hfZy1B0UFBSEpaUl33//fYZtVlZWjBkzhtatWxMXF6dK37VrFx06dKBmzZrUrVuXiRMnEhsbq9q+aNEimjZtytGjR2nXrh1Vq1bF3d2dVatWAf9rqt+9e5cdO3bg5OREWFhYps3vb775hh49eqjeX758mT59+lC7dm1q1KjBt99+y7Fjx9T2/2Z3UE7r/DZfffUVN2/ezHCiP3fuHA8ePKBFixYZPrN//366detGzZo1qVKlCi1atGDt2rWq7a+O0fbt23FyclKr5/Lly3Fzc6Nu3bo8ePBArTto5syZODk5qR2T/fv34+TkpPH7ZPb3ALh58yZDhw6lfv36VK9ene7du3Pq1KkMn12zZg1t2rShevXqrFmzRqtjlpk///yTbt26UatWLVxdXfH29ubu3btqec6ePUu3bt2oUaMGX375JevWrcPDw4MxY8ao1etVd5BSqWTx4sU0bdqUKlWq0LBhQ3x9fUlISADSu9NOnjzJmTNnVN12mn6PR48eVf3N6tWrx9ixY3PUnWNlZZUh7cGDB4wcORI3NzfVMT937pxanvj4eCZNmsTnn39OzZo1GTlyJGvWrFH9TiC9+23UqFGMHDmSmjVr0qVLFwCSk5OZO3cujRo1okqVKrRq1Yqff/5Zrfw7d+4wePBg6tSpQ7Vq1WjXrp1ai/ZtxxMydgdFR0czbtw4GjVqRLVq1Wjfvj379+9X26+TkxMbNmxgypQpqu//3Xffcfv27Xc4uvrjnYOAUqnkyJEjfP755xQsWFBjHnd3d7y9vfnkk08AWLJkCd7e3lSqVAk/Pz8GDBjA3r176dmzJ4mJiarPPXr0iPHjx9OxY0eWLl1K5cqV+fHHHzl27JiqqW5jY0P9+vUJCQnR+uozPj6e3r17U6BAAebMmYO/vz/GxsZ4eXlx584djZ/RRZ3f5vPPP8fa2prdu3erpe/YsUO17XUHDx5k0KBBVKhQgUWLFuHv70+JEiXw9fUlIiICIMMxeuX+/fts27aN2bNn4+Pjk6G7wtvbm3LlyjFp0iQSExN5/PgxEydOpH79+vTq1StD3TP7e1y9epX27dtz8+ZNRo8ezezZswHw8PDg+PHjamXMmTOHrl27MmvWrBy1JH755Rd69+6NtbU1s2fPZtSoUZw9e5YuXbrw8OFDAK5du4aHhwepqanMnj2bAQMGsGTJEs6cOZNpuYGBgaxcuZLevXvz008/0bt3bzZt2qQab1mwYAHOzs5UrFiRkJAQta6bVw4fPsx3331HwYIFmT17Nt9//z1Hjx5lwIABb/1eqamppKSkqF6xsbHs2bOH4OBgqlWrRtmyZQGIjY2la9eunD17llGjRjF37lwMDQ3p2bMnf/31l6q8QYMGsXPnTgYMGMDcuXN58uQJc+fOzbDfXbt28eLFCxYtWoSXlxcAQ4YMYd26dXzzzTcEBATg4uLCmDFjVL+xtLQ0+vXrx+PHj/H19SUgIIDSpUszcuRI1W/zbcfzTY8ePaJjx46Eh4czePBg/Pz8KF68OIMGDcoQgPz8/Hjy5AmzZs1iwoQJnDt3jlGjRr31GOuzd+4Oio2NJSkpiZIlS2qV/+nTpyxdupT27dszbdo0VbqTkxM9evRg8+bN9OzZE4CEhAT8/f1VJ4RatWpx4MAB/vjjD+rVq4eLiwsmJiZ88skn2Wo2Xrt2jdjYWL777jtVX3m1atUIDAwkKSkpV+ucFUNDQ5o3b86ePXsYOXIkkP4Pf8+ePfj4+PDy5Uu1/FeuXKFVq1ZMmTJFlVarVi3q1KnDyZMncXFxyfQYvXz5ktGjR2d6si1QoACzZs2ia9euLFmyhBs3bqBUKpk5cyYKhSJD/lddJ2/ua9q0aRgZGbFu3TrVFau7uzutW7dm9uzZav94GzduTLdu3bI8Rm+TlpbGnDlzcHNzY9GiRar02rVr06pVK4KCghg7diyBgYGYm5uzYsUKzMzMAChfvnyWg84RERFUr16db7/9FkgP2paWljx//hxI706ztLQkJSUl09/jokWLKFeuHMuXL8fAIP3a65NPPmHq1KncuHEDR0fHTPf/1VdfZUgrXLgwjRs3xsfHR1XeqlWrePToETt27FCNZzRq1Ii2bdvi5+dHcHAwx48fJzw8HH9/f1W5jRo1ok2bNly7dk1tH6/+7q/Gi/78808OHjzIrFmzaNu2LZDeLZWWloa/vz8dOnQgPj6e69evM3fuXJo0aQJAnTp1sLOzU/1+3nY837Ry5UpiYmLYuXOnqluscePG9OzZk9mzZ9OmTRvVGF7p0qXx9/dXffbu3bssXbqU2NhY1cWoUPfOLYFXffypqala5T937hzJycm0adNGLd3V1ZUSJUpw8uRJtfTXB5MLFixI4cKF1ZqL76JChQrY2NgwYMAAfvjhB37//XdMTEwYO3YsFSpUyNM6t2zZktu3b6uu2E6cOMGzZ89U/5Be169fP+bPn09SUhL//PMPe/bsISgoCEhvrr/N681+TapWrYqXlxdBQUHs27eP6dOnY2Njo9X3eOXkyZM0aNBArcvC2NiY1q1b8/fff/Ps2TNVesWKFbNVtiY3btzg4cOHGf5WDg4O1KxZU/W3Cg8Pp0GDBqoAAPDZZ59RokSJTMuuV68ex44do3v37qxatYr//vuPDh06qC4A3iYpKYmLFy/StGlT1Qkb0k+gv//+e5YBACAgIIAtW7YQGhpKz549MTQ0pFevXsyYMUOtlRgeHk7FihUpWbKkqtWgUCj48ssvOXHiBMnJyYSHh2NoaEjTpk1VnzM0NNQ4o6t48eJqEwZeteDc3d3VWiZNmjQhLi6OCxcuUKRIEZycnJg4cSJjx45l165dxMfHM27cONW/j+wez5MnT1K1atUM4yJt27YlJiaGq1evqtLenIRSrFgxALVWu1D3zi2BQoUKYW5unqG/9XUvXrwgLi4OGxsbnj59CkDRokUz5CtatKjauAGAqamp2nsDA4Mcz8M2MzNjw4YNBAYGsnfvXtavX4+JiQnNmjVjypQpWFpaquV/n3V2cXHBzs6O3bt3U6VKFXbs2EGjRo00ztqJjY3lhx9+YN++fSiVShwcHFRXoNrsT9P3eVO7du1YsmQJhQoVonbt2lp9h9c9ffpUY+B4te/Xg0B2A4wmT548USv/zX3eu3cPgJiYGI1XhFkdEw8PDywsLNi6dSuzZ88mNTUVBwcHfHx8aNas2Vvr9vTpU5RKpVbHXZMKFSqoToA1a9bExMSEBQsWUKBAATw9PVX5YmNjuXXrFpUrV9ZYTmxsLLGxsVhZWWWY/aZpEPvN+r4aB8vs9xAVFYVCoWDlypUEBgayb98+wsLCMDQ05IsvvuCHH37A3t4+28fz6dOnGmfOafotafo3COktRaFZjmYH1a9fnxMnTpCUlJTh4APs3r2b0aNHs3z5cgoVKgSk9++9eeUXHR1N9erVc1IVVVPzzZZJfHy82pTFUqVK4evri1Kp5J9//mHXrl0EBwdTqFChDDOccrvOrzMwMKBFixbs2bOHYcOGsW/fvkz7SEeOHMm1a9dYuXIlNWrUwMTEhMTERDZt2qSTuiiVSiZNmkSxYsV4/vw5U6dO1dhnnJVChQqp+uFfFx0dDaR3Z+hyjvurv/GjR4807vPVid/e3p7Hjx9nyPP48WNV3/qbFAoFnTp1olOnTsTFxXH06FGWL1+Ot7c3Bw4c0DgG8DoLCwsUCkWG75uamsqRI0eoWrVqtmYSDRs2jAMHDuDn58cXX3yh+m1aWlpSq1Ytxo4dq/Fzn3zyCXZ2djx9+pSXL19ibGys9v3fxtLSElNTU9atW6dx+6uu4SJFijBu3DjGjRvH9evX2b9/P0uWLGHy5MkEBgZm+3i+7bck3Tw5k6PZQX369OHp06caTxBPnjwhICAAe3t76tWrR/Xq1TExMWH79u1q+U6dOsX9+/dzfC/Bqyvm+/fvq9IePnzIjRs3VO/37NlDnTp1iI6ORqFQ4OzszMiRIylbtqzGFk1u1/lNLVu2JDIykuXLl6NUKjPttz99+jRNmjTB1dUVExMTAA4dOgSotwRe73rIjpCQEP7880+mTZvG999/z/bt29m7d2+2yqhduzaHDx9Way2lpKSwa9cuKlWqpNYdowuOjo7Y2Nhk+Fvdvn2b8+fPq/5WtWvX5siRI2rdA5cuXcryRryuXbuqxoSsrKxo2bIl/fv3JyUlhaioKCDrY21ubo6zszP79+9X+/ucOHECLy+vDH3xb2NiYsKUKVN4+fKl2liVq6srN27cwMHBgapVq6peu3btYtWqVRgbG+Pq6kpaWprazBqlUsm+ffveul83NzeSkpJ4+fKlWvm3bt3C39+fxMREzp49S926dblw4QIAZcuWpV+/fri5uan+jWlzPF9Xu3ZtLl68mGGWz6+//oq1tfVbu9NE1nLUEqhRowbDhw/Hz8+P69ev8/XXX1O0aFGuXr3K6tWriY2NZc2aNRgZGVG4cGH69evH4sWLMTY2pnHjxkRGRrJw4UIcHR3p0KFDjr7I559/jpmZGTNnzmTYsGEkJycTGBio1sXz2WefoVQq6d+/P3379qVQoUIcOXKE//77j759+2YoM7fr/KYaNWpQokQJli1bRps2bVQn+DdVq1aNHTt2ULlyZezt7Tlz5gxBQUEoFAq1MQgrKyv+/fdfjh8/jpubm1Z1uHXrFnPnzqVdu3bUr18fgO3btzN58mRcXFy0vmIdPHgwhw8fpnv37vTr148CBQqwdu1a7ty5Q2BgoFZlvCk6OlrjNNXSpUvj7u7OiBEjGDt2LEOHDuXrr7/m6dOnLF68GEtLS/r06QNA//792bVrF56envTp04e4uDgWLlyIgYGBxoFvSD8JvWoturi48PjxYxYvXoyjoyPOzs5A+rE+c+YMx44do2bNmhnKGDp0KAMGDGDQoEF07NiRJ0+esGDBAurUqfNOc+JdXV1p3bo1O3bsYOfOnbRq1YrevXvz66+/0rNnT3r37k2RIkXYv38/GzZsYNiwYSgUCmrXrk29evWYNGkSjx8/pkSJEmzZsoX//vsv0+//SoMGDXB1dWXw4MF4eXlRoUIF/v77bxYvXkzNmjUpXrw4RYoUoWDBgvj4+DBw4EBsbW05f/48R48eZeDAgVofz9e9+l4eHh4MHDgQa2trtm3bxokTJ/D19dX5PUj6Jse3xfbv35/KlSsTEhLCvHnziI2Nxd7enjp16jBgwABKlSqlyjtkyBCKFi3KunXrCAsLo3DhwrRo0QJvb2/Mzc1zVA8LCwsCAgKYO3cuw4cPx97enj59+nDp0iXVFYStrS0rVqzA39+fqVOn8vz5cxwdHZkxY4ZqtsObcrPOmrRs2ZKffvopwwDn62bOnMm0adNU3UVlypRhypQp7Nq1i9OnT6vyeXl5MXnyZAYOHJjhClmTtLQ0Ro8ejbm5uWrOPICvry9t2rRh4sSJLFmyRKvvUaFCBdavX8/8+fOZOHEikB68Vq9e/U5jDJA+f//HH3/MkN64cWPc3d1p37495ubmBAYGMnz4cMzNzalXrx4jRozAzs4OSB8oDg4OZvbs2Xh7e1O0aFEGDBjA4sWLM/17Dh8+nIIFC/LLL78QFBSEmZkZ9erV4/vvv1f1rXt4eHD+/HkGDBjAihUrMpTx5ZdfEhgYSEBAAMOGDaNw4cI0adIEb2/vd26xjRo1igMHDjBr1iy+/PJLbG1tCQ0NZf78+cyYMYOkpCRKly7N5MmTVTNxIH0a5cyZM1mwYIFqYLdr165s27Yty/0ZGBiwfPlyFi5cyMqVK3n06BG2trZ88803DB48GEifXbZy5UrmzZvHnDlzePr0KSVKlGD48OGqCy1tjufrbGxs2LBhA/PmzWP27Nm8ePECJycn1b0GImcU8nhJoU+OHj2KsbGxWsvo6dOn1KtXjzFjxtC9e/c8rF3ui4yM5PTp0zRr1kzt/p6hQ4eqbnIT+uX9LZAjxAfg33//xd/fn+HDh1OpUiWePHnC6tWrKVSoUK4sfPehMTQ0ZOLEifz+++906NABQ0NDjhw5wm+//aa6oU/oF2kJCL2SlpZGYGAg27Zt4/79+5iZmeHm5oaPj49a1+XHLDw8nICAAC5fvkxKSgrly5enT58+ehEERUYSBIQQQo/JQ2WEEEKPSRAQQgg9JgPDQgi9oGiq3WKXAMp92XuKX36W50EgO38Y8fF79Y/vecqzt+QU+sTcyPLtmd7mLTfD6as8DwJCCPFeSOe3RhIEhBD6QVoCGkkQEELoB4kBGkkQEELoB0OJAppIEBBC6AfpDtJIgoAQQj9IDNBIgoAQQj8YSBTQRIKAEEI/SAzQSIKAEEI/yJiARhIEhBD6QWYHaSRBQAihHyQGaCRBQAihH6Q7SCMJAkII/SCzgzSSICCE0A8SAzSSICCE0A/SEtBIFlcVQugHA4X2r2y4fv06Tk5OGV6bN28G4PLly/To0YMaNWrQqFEjgoOD1T6flpbGwoUL+eKLL6hevTp9+vTh1q1banl0UUamhyVb31YIIfIrRTZe2fDvv/9iYWHB0aNH1V5t2rQhJiYGDw8PHBwc2Lp1K8OGDWPhwoVs2rRJ9fmAgAA2bNiAr68vGzduxNDQEE9PT168eAGgkzKyIt1BQgj9kEuzg65cuUK5cuWwsbHJsG3VqlUYGxszZcoUjIyMKFeuHLdu3WL58uV07tyZ5ORkVqxYgY+PDw0bNgTAz8+P+vXrs3v3btq2bcumTZtyXEZWpCUghNAPBtl4ZcO///5LuXLlNG6LiIjAxcUFI6P/XW+7ublx584doqKiuHz5MgkJCdSpU0e13cLCgkqVKhEREaGzMrIiLQEhhH7IRksgLi6OuLi4DOlWVlZYWVmppV25cgUHBwe6du3K7du3KVOmDAMHDqR+/fpERUVRvnx5tfy2trYA3L9/n+joaADs7Owy5Ll//z6ATsrIigQBIYR+yMaA7+rVq1m8eHGG9MGDBzNkyBDV+4SEBCIjI7G2tmbkyJGYm5vz66+/0rdvX1asWEFSUhImJiZqZbx6/+LFCxITE9XSXs+TnJwMoJMysiJBQAihH7LRzdOrVy/atWuXIf3NVoCZmRmnT5/G2NhYdRKuUqUK165dIygoCFNT0wwn4lfvzczMMDU1VaW9fhJPTk7GzMwMQCdlZEWCgBBCP2SjO0hTt09mzM3NM6RVrFiRAwcOUKpUKVV3zSuv3tvb26NUKlVpFhYWanledQHZ29vnuIysyMCwEEI/5MIU0bNnz1KzZk0uXLiglv7XX39RoUIFateuzenTp0lJSVFtCw8Pp0yZMtjY2PDpp59iYWHByZMnVdvj4+P5+++/cXV1BdBJGVmRICCE0A+5cLNYlSpVKFmyJBMnTuT06dNcu3YNX19fzp49y4ABA+jQoQOJiYmMGzeOq1evsm3bNlatWoWXlxeQ3m/fvXt3/Pz82L9/P//88w/e3t7Y2dnRrFkzAJ2UkRWF8lVbIo8ompbMy92LD4xyXyQAz1Oe5XFNxIfE3Mgyx2UohlTVOq9y0UWt80ZFRTFv3jyOHTtGXFwclStXZsSIEaqr8IsXLzJ9+nQuXbqEjY0NHh4e9OzZU/X51NRU/Pz8CAsLIzExkVq1ajF58mRKlSqlyqOLMjIjQUB8UCQICE10EQQMhlXTOm/aggtvz/SRkIFhIYReUMjzBDSSICCE0AsSAzSTICCE0AsGEgU0kiAghNAL0h2kmQQBIYReMDCQGfGaSBAQQugFaQhoJkFACKEXpDtIMwkCQgi9IEFAMwkCQgi9oMjucyP1hAQBIYRekJaAZhIEhBB6wTAbC8PpEwkCQgi9IC0BzSQICCH0ggQBzSQICCH0gsQAzSQICCH0grQENJMgIITQCxIENJMgIITQC7J2kGYSBIQQekEaAppJaHwH1paFUe6LzPDaPDEQgFoVq2ncPqffBLVyBn/dmyurjpCw4yoXlu+nU4PWattL2hRj3ZhF3A2NICbsL/bN2kDN8lXU8jiXrsCvU1cSvfk80ZvP8/OUIMoWc8jdAyDeyaE/DlG/dgO1tKSkJBYvCOD/WrSlnssXfNPhW/bu/i3TMm7euEmdmnX59eftmeYZOex7ZvrO0lm9PxYKhULrlz6RlsA7qF6uEgDNxnxLXEK8Kv1xXCwA1RydiU98TpPR36h97t6jB6r//77zAKb3HsXEVXM5deUcXRr+H6Hjl/DwaQwHz/+JqYkpv81cj1KpZPiSKcQnJeDdvi+H52+lWr+m3HhwG5vCRTg4dzNX793Ec74PBgoDJnUfzuH5W6nc152nz+Pew9EQ2jh/9jwTxkzizUd6/zh1Jgf+OMjAIQNwLFuGQwcOM9ZnHAqFgmYtmqrlVSqVTJ04jeTkZI37UCqVLJi3kAP7D9D5m0659l3yK307uWtLgsA7qObozIOYaPadPqx5e1ln/rr5Lycun9G43dLMgsndvRkbPJN5W9JbD3+cPYZTqXI0q9WAg+f/pHWdxjiXrkD5XvW5du8mAAfP/8mtdSfo37oHo4Om06tpJ0xNCtBqQi+exD8FIPzyGSI3nOJb97Ys3b5G919eZEtycjLr125g6aJlFCxYkLS0NNW22JhYtv+yg0lTJ9C2Q1sA3D53I/JOJGtXrs0QBDau38i9e/c17ifyTiSzf5zLqfBTmJoWyL0vlI/Jk8U0k+6gd1CtrDMXblzOfLujMxeuZ769Wa2GmJoUIGj3BrX0RiM7Mm7FTACexMfhHxakCgAAiS+SuPPwHo7FSgFwO/ouc7cEqgIAQFTsQ+Kex+NoX/pdvprQsWNH/mRl0CqG+wyjS7cuatueP39Oxy4dqFO3jlq6QxkH7t69p5Z27+49AhYsZfT4URr3M3+2H48ePmLFumA+sbbW7Zf4SBgYKLR+6ZMsWwIxMTFs3LiRiIgI7t+/z4sXLzAzM8Pe3h5XV1c6depE4cKF31ddPxjVyjqTlPyCY/7b+KxCFR49jWXhthXM2bQUgKqOn/LiZTJnl+2lUukK3I6+x7QQf9bs26L6/P2YaGqUq8z8/pOo6vgpN6MiGRP0I2FHdwGw/8wR9p85orbfMvalqFLGiZ0nfgdg06GM/cJ1K7tgbVWYf+5czc1DILRUuUolduz9FUsrS5YFBKptK1mqJOMmjVVLS01N5djRPynjWEYt3XfKdJq1aIpL7Voa9zNo2EDKlisrXR5ZkFVENcs0CFy8eJG+fftibm6Oi4sLzs7OmJiYkJycTHR0NBs2bGDFihWsXLmSTz/99H3WOU8pFAoqla7I86QEfJZP43b0PVq6uvNjnzGqq3ubwkWoUMKRsSt+JPbZU775si2rR/mjVCpZu38rNoWssShoRuj4AKau8+ffyGv0/eobNk9cRr3hbQnX0I1kbGRM8Ii5JCW/YNmOdRrrZmVmSeCwmdyOvsuGA9ty+1AILdja2WYr/7LFgdy8fhO/xfNVadvCfuHqf9eYNW9mpp8rV77cO9dRX0iA1CzTIDB9+nTc3d2ZPn26xvm1aWlpjB8/Hl9fX9at03xS+hgpFApaT+zF7eh7an31FgXNGN15IHM3L6P52G5cuH6ZBzHRAPx+9ijFi9gxuYc3a/dvxdjImMIWheg5axhr928F4MC5P6lUuiITuw+n1fieavs0MTZh4/glNKjmRsepXtx7/IA3FTK3YveMtTjal8Z9VBcSXyTl7oEQOrcqaBXBy1fQw6M7Db9Mn0X08OEj/Ob4M+mHCVhaWfIs7lke1zL/kiCgWaZjApcvX6Zv376Z3mBhYGBA3759uXTpUq5V7kOUlpbGgXN/qvXVA+w5dRDzgmaULebAbxGHVAFAtT3iIOWKl8Hc1Iz4xOeqtFeUSiV/nDtG1TLqrSorM0v2/hhCK7fG9JrtzS9/7s1QpxJFi3HEL4yqjp/yf5N7c/Kfs7r5suK9UCqVzJs1n4V+i+nUtRPDfYapts2cNpOan9WgoXtDUlJSSE1LBSBNmUZqampeVTlfUii0f+mTTIOAjY0N//77b5YfvnDhgt6NCRQrYsd3LbtRtJD64FvBAqZA+jxJ9F4AACAASURBVD0EXq27Y2Jsor7dxJSEpESeJyVw9f8HEBMj9TzGRsYo+d8UwiJWn3B4/lbcPq1Jh6n9WP/HzxnqU654Gf5csI3iRexoMvob/jh7TBdfU7wnaWlpTBw7iZA16+nTrzdjJ45Wu2I98PtBDh88gmv1OrhWr4N7vSYATJ04jf9r0Tavqp0vyX0CmmXaHdS7d2/Gjx/P5cuXcXV1xd7eXm1M4OTJk6xevZrhw4e/z/rmuQLGJiz3noW5aUH8w4JU6R2+aMm/d65haGDIsmEziYp9xLZje1Tb29f/iiN/nQDgt4hDAHRq0EpVhqGBIc1qNeDPSxEAGBkasdN3DWWLlab52G4cuXgiQ10KmVvx28wQjA2N+MK7PZdv/5dr31vkjvmz/di1fTcjvh9Od4/uGbav26g+zTchIYF+vfvTb+B3NG7a+H1V86PwPpaNuHHjBu3bt2fcuHF06pR+r0ZkZCTTpk3j1KlTmJqa0q5dO7y9vTEy+t/pNyQkhBUrVvDw4UOcnZ0ZP3481apVU23XRRmZyTQIdOvWjYIFCxIYGMhPP/2kFh2VSiWOjo6MHz9e9UX1xc0Hd1j/xzameXxPmlLJ5dv/0alBazrUb0nbKZ4cvhjOkYsnWDbsRz6xKMT9mGi8WnWjWtlPqe/dHoD/7t4geHcoM/qMQaFQcOnWFQa07oGDbQk6TvUCYPDXHrg512RmaADJKS9xc/5MVYfYZ0+4EnmdH3qNpGwxB4YtmYyVuaVangcx0dyKiny/B0dky+W//2HDulDq1HWjWs3qXDh/UbXN0MCAylUrU6lKJbXPvBoTKF68OBUqln+v9c3vcvsC/+XLl/j4+JCQkKBKS05OxtPTE0dHR0JDQ7lz5w7jxo3DyMgIb29vAMLCwpgzZw7Tpk3D2dmZoKAg+vbty+7duylSpIhOyshKllNE27dvT/v27Xn8+DFRUVEkJiZiampKsWLFsNbjucie83yY2H0Yw9t5UqyILZdvX6XD1H5sP74PgK8nezKjz2im9vKhiNUnnLl6kaajv+X0lQuqMrz8RxP56D7e7b+jaCFrzl//m6ZjvuXi/7//4Ou6zQEY03UQY7oOUtv/jvD9tJnowdefNwNgwcAfMtRx8S+rGLJ4QoZ08eE4dOAQSqWS8D9PEP6nekuvYMGCHIs4ksknxbvI7W6eRYsWYW5urpa2d+9e7t69y6ZNmyhUqBAVK1bEx8eHGTNmMGDAAExNTQkMDOTbb7+lTZs2QPqknKZNmxIaGsqgQYN0UkZWtLpjuEiRIm+NJvokKTmJ8StmMX6F5vVZYp89YcCCsQxgrMbtAKlpqUxZM48pa+Zp3P6lz9tbWI49PteuwuKD0H+QF/0HeWX6XhuWVpac+f9dhpnZuS/zdYX0WW4GgVOnTrFx40a2bdtGo0aNVOkRERE4OztTqFAhVZqbmxsJCQlcunQJBwcHbt68iZubm2q7oaEhtWrVIiIiQmdlZEWWjRBC6IXsBIG4uDji4jKuvWVlZYWVlVWGvKNGjWLChAkUK1ZMbVtUVBT29vZqaba26feOPHjwAFPT9AklmvJcvHhRZ2VkRYKAEEIvZKchsHr1ahYvXpwhffDgwQwZMkQtbcqUKdSoUUPVFfO6pKSkDF1EJibpswJfvHhBYmKiWtrreV4tFKiLMrIiQUAIoReyMzuoV49etGvXLkP6m62Abdu2ERERwfbtmrvgTE1NM5yIX703MzNTXcVrymNmZqazMrIiQUAIoRey0x2kqdtHk61bt/L48WO1cQCAqVOnsmrVKmrXrs3ly+qLSUZHp99Iam9vT/HixVVpTk5Oanns7OxU+XJaRlaynCKqrZCQEK3zCiFEXsiNceG5c+eSlKS+REuzZs0YPHgwrVu35ty5c4SFhREXF6cKKidOnMDc3JxKlSphYmKCo6MjJ0+e5IsvvgDSFxE8ffo0Xbqkrzpbu3btHJeRlUyDQOnSshSxEOLjkRuzgzK70ra2tqZEiRIULVoUf39/vL29+f7777l37x7z5s2jd+/eqj78Pn364Ovri6OjI9WqVSM4OJjnz5+r7sFq0qRJjsvISqZB4Mcff8z2ARFCiA9WHiwHUaBAAYKCgpg6dSqdO3fGysqKLl26qM3d79y5M/Hx8SxYsIAnT55QuXJlVqxYoboXSxdlZEWhfPN5d5l49OgR169fV1u0Kjk5mfPnzzN06FCtD0qGCjQt+c6fFR8f5b70u5yfp8hqmeJ/zI0sc1zGZz9lHOjNzJnvMq7T9bHSamB427ZtTJw4kZcvX6JQKFAqlaqmVYkSJXIUBIQQ4n3Qt4XhtKXVnKnly5fTunVr9uzZg6WlJVu3biUgIABbW9sMc2aFEOJDJKuIaqZVS+DOnTssWrSIMmXK4OTkRExMDO7u7qSkpLBs2TK+/vrr3K6nEELkiL6d3LWlVUvAxMRENQrt4OCges5AlSpVuHXrVu7VTgghdEQeKqOZVkGgSpUqhIaGAlChQgWOHUt/cMl///2HsbFx7tVOCCF0RLqDNNOqO2jIkCH07dsXa2tr2rVrR0BAAM2bNyc6OppWrVrldh2FECLH3sdDZfIjrYKAi4sLe/fuJTk5GWtra9avX09oaCjFihWjR48euV1HIYTIMX27wteW1msHvX5nXPny5ZkwQR5YIoTIPyQGaKZVEOjZs2eW29esWZPldiGEyGvSEtBMqyDw5voYKSkp3Lp1i+vXr781QAghxIdAgoBmWgWBOXPmaEz38/PT+PQdIYT40EgQ0CxHw+UdO3Zk586duqqLEELkGgMDhdYvfZKjh8pcvXoVLdefE0KIvCUtAY20CgKjRo3KkBYfH8/x48dp0aKFzislhBC6Jt1BmmkVBO7fv6/2XqFQYGxsjKenJ717986VigkhhC7pWS+P1rQKAmvXrs1028OHDzE3N9dZhYQQIjdIS0AzrQaGnZ2diYmJyZB+7949mjVrpvNKCSGErhkaGGj90ieZtgR27drFkSNHAFAqlfj6+lKgQAG1PJGRkZiZmeVuDYUQQgf069SuvUyDQI0aNQgJCVHN/omMjMTI6H/ZFQoF5ubm8ixiIUS+YCDdQRplGgSKFy9OSEgIAD169CAgIAArK6v3VjEhhNAlGRPQTKsW0tq1azl16hQHDhxQpU2YMIFDhw7lWsWEEEKXDBQKrV/6RKsgsHnzZoYNG8bdu3dVacnJyQwaNIhdu3blWuWEEEJX5KEymmk1RTQ4OJjJkyfTqVMnVdrs2bOpVasWS5cupWXLlrlWQSGE0AUjPTu5a0urlsD9+/epU6dOhvS6dety+/ZtnVdKCCF0TVoCmmkVBEqUKEF4eHiG9NOnT2Nra6vzSgkhhK7JmIBmWnUHdevWjRkzZnD79m2qV68OwMWLF1mzZg1DhgzJ1QoKIYQu6NepXXtaB4GkpCRWrVrFTz/9BICtrS0+Pj40b948VysohBC6oG9X+NrS+iY6T09Pjhw5wvHjx4mIiGDOnDmcOnWKL7/8MjfrJ4QQOpFby0ZERUUxYsQI3NzcqFmzJv369eO///5Tbb98+TI9evSgRo0aNGrUiODgYLXPp6WlsXDhQr744guqV69Onz59uHXrlloeXZSRmWx922fPnrF9+3Y6d+6Mh4cHBw4coF27dtkpQggh8kRujAkolUq+++47Hjx4QHBwMFu2bMHU1BQPDw+eP39OTEwMHh4eODg4sHXrVoYNG8bChQvZtGmTqoyAgAA2bNiAr68vGzduxNDQEE9PT168eAGgkzKyolV30MWLFwkNDWXXrl0kJiaiUCjo2bMnXl5eWFtba33AhBAir+RGZ9CjR48oV64cQ4cOxdHREYCBAwfy9ddfc+XKFU6cOIGxsTFTpkzByMiIcuXKcevWLZYvX07nzp1JTk5mxYoV+Pj40LBhQyD9sb3169dn9+7dtG3blk2bNuW4jKxk2hJISkpiy5YtdOjQgU6dOrFnzx6aNWtGYGAghoaGdOrUSQKAECLfyI2WgI2NDX5+fqoA8OjRI4KDg7G1taVixYpERETg4uKitu6am5sbd+7cISoqisuXL5OQkKA2Bd/CwoJKlSoREREBoJMyspJpS6BBgwakpaXRoEEDvLy8aNSoESYmJgDySEkhRL6TnZN7XFwccXFxGdKtrKwyXUNtzJgx/Pzzz5iYmLB06VLMzc2JioqifPnyavleTau/f/8+0dHRANjZ2WXI8+phXrooIyuZBoGUlBQsLS0xNTXl5cuXpKSkqIKAEELkN9m5CWz16tUsXrw4Q/rgwYMznRbv6elJt27dWL9+PYMGDSIkJISkpKQM581X71+8eEFiYqJa2ut5kpOTAXRSRlYyDQLHjh1jz549bNmyhbCwMExNTWnYsCEtW7bUuzvqhBD5n2E2zlu9evXSOOklq5WUK1SoAMD06dM5f/48a9euxdTUNMOJ+NV7MzMzTE1NVWmvn8STk5NVz2rRRRlZyTQIFCxYkHbt2tGuXTtu3rzJli1b+OWXX9i7dy8KhYLg4GD69u1LuXLl3roTIYTIa9npDsqq2+d10dHRnDhxgtatW6sujg0MDChfvjxRUVHY29urumte/wyAvb29qms9OjoaCwsLtTyvuoB0UUZWtJoiWqZMGXx8fDh06BBLliyhcePGbN++ndatW8uD5oUQ+UJuDAzfv38fHx8fTp8+rUp7+fIlf//9N+XKlaN27dqcPn2alJQU1fbw8HDKlCmDjY0Nn376KRYWFpw8eVK1PT4+nr///htXV1cAnZSR5XHR+tuSHuHc3d1ZvHgxhw8fxsfHJ0OEEkKID1FuLCBXtWpV3NzcmDRpEhEREVy5coXRo0fz5MkTPDw86NChA4mJiYwbN46rV6+ybds2Vq1ahZeXF5Deb9+9e3f8/PzYv38///zzD97e3tjZ2ame366LMrI8Lso8nuqjaFoyL3cvPjDKfZEAPE95lsc1ER8ScyPLHJcx9NBIrfMubDhP67xPnz5l7ty5HDhwgGfPnuHi4sKoUaNwcnIC0u+zmj59OpcuXcLGxgYPDw969uyp+nxqaip+fn6EhYWRmJhIrVq1mDx5MqVKlVLl0UUZmZEgID4oEgSEJroIAsMO+2idd0GDuTneX36h1R3DQgiR3xllc00gfZHnQeDVlZ8Qr9PFlZ8Qr5Op7ZrleRAQQoj3wUCeKKBRngeBpNSEvK6C+ICYGqbf3CK/C/G6V7+LnJCWgGZ5HgSEEOJ9kIfKaCZBQAihFwwUMjCsiQQBIYRekJaAZhIEhBB6QZG9BRL0hgQBIYRekJaAZhIEhBB6QWYHaSZBQAihFxRyn4BGEgSEEHrBUJaN0EiCgBBCLxjIwLBGEgSEEHpBxgQ0kyAghNALEgQ0kyAghNALsoCcZhIEhBB6QVoCmkkQEELoBUNZO0gjCQJCCL0gC8hpJkFACKEXpDtIMwkCQgi9IHcMayZBQAihF2QBOc0kCAgh9IIMDGsmQUAIoRcUEgQ0kiAghNALMiagmQQBIYRekDEBzSQICCH0gkwR1Uw6yYQQesEAhdav7IiPj2fGjBm4u7tTs2ZN2rdvz++//67aHhkZiZeXF5999hl169Zlzpw5pKSkqJUREhJC48aNqVatGl26dOHChQtq23VRRubHRQgh9ICBgaHWr+wYO3YsBw8exNfXl23bttGsWTMGDx7M8ePHSU5OxtPTE4VCQWhoKNOmTWPLli0sWrRI9fmwsDDmzJnD8OHDCQsLw9HRkb59+/L48WMAnZSRFYVSqVRm6xvrWFJqQl7uXnxgTA3NAPldCHWvfhc5sfZKsNZ5e1T01Crfw4cPqV+/PoGBgTRq1EiV3qtXL4oWLUqjRo0YO3Ysx44do1ChQgBs3ryZGTNmcPz4cUxNTWnevDmNGzdm1KhRAKSmptK0aVM6dOjAoEGD2L59e47LyIq0BIQQekGhUGj90lbBggX56aefcHFxybCvp0+fEhERgbOzs+rkDeDm5kZCQgKXLl3i0aNH3Lx5Ezc3N9V2Q0NDatWqRUREBIBOysiKDAwLIfRCdqaIxsXFERcXlyHdysoKKysr1XsLCwsaNGiglufcuXOEh4czYcIEjh49ir29vdp2W1tbAB48eICpqSmAxjwXL14EICoqKsdlZEWCgBBCL2TnCn/16tUsXrw4Q/rgwYMZMmRIpp+7du0agwcPpnr16nTp0oX9+/djbm6ulsfExASAFy9ekJiYqJb2ep7k5GQAkpKSclxGViQICCH0QnZm/fTq1Yt27dplSH+9FfCmU6dOMXjwYIoXL05gYCDGxsaYmppmOBG/em9mZqa6iteUx8wsfRxEF2VkRcYEhBB6wUBhqPXLysqKkiVLZnhlFgR+/fVXevfuTeXKlVm7di2FCxcG0rtooqOj1fK+em9vb0/x4sXV0l7PY2dnp7Mysjwub80hhBAfgdwYGAbYvn07o0aN4quvviIwMBALCwvVttq1a3P58mW18YUTJ05gbm5OpUqVsLa2xtHRkZMnT6q2p6amcvr0aVxdXXVWRlYMp0yZMiVb31jHUpQv83L34gNjZGAMyO9CqHv1u8iJy7F/odDyv0qfVNWqzAcPHuDp6UmtWrWYMmUKL168ICEhgYSEBF6+fImTkxO//vor4eHhODk5ceHCBXx9fenZsyd169YF0vvuFy1ahJ2dHcbGxsybN48rV64wY8YMChYsiIODQ47LyIqMCQgh9EJuLBvx22+/kZiYSHh4OF988YXats8++4wNGzYQFBTE1KlT6dy5M1ZWVnTp0kVt7n7nzp2Jj49nwYIFPHnyhMqVK7NixQqsra0BKFCgQI7LyIrcLCY+KHKzmNBEFzeL/XwjVOu87Ry75nh/+YW0BIQQesFAkb3lIPSFBAEhhF6QVUQ1kyAghNAL8lAZzSQICCH0gjxURjMJAkIIvSAtAc0kCAgh9IKMCWgmQUAIoRdkdpBmEgSEEHohu4+N1BcSBIQQekG6gzSTICCE0AsyMKyZrCKax04cP0G3Lj1wrVmHFo2/YsmipaSmpuZ1tcR7kvA8gRm+M/nyi8Z87lKP/t8N5N9//lVtT0pKYpH/Ylo3/z/q1KpL5/Zd2bN7bx7WOP/KrVVE8ztpCeShs2fOMdBrMC1bf8VQ7yFcvnSZgEVLMDAwoP8gr7yunngPRgz34dyZcwwY1J8KThXYtWMXvXt4sn7TOso4lmH61Bkc+P0Ag4YOwtGxDAcPHGL0yDEoUND8q2Z5XPv8xVAGhjWSBeTykEf3PlhYWrB46UJVmv/8BVw8f5Hg1UF5WLO8o08LyP196W++6dSNCZPH06lLR1V6z297YWdnx9iJY/iyfmMmT5tE+w7/e8rV4P5DiImNZf3GdXlR7TyhiwXkDt/fp3XeBsWa5nh/+YW0BPJITEwM586ew3/RfLX04SOG5VGNxPt26+YtAOrWr6uWXqNmDbZuDiPheQKdunSkbt3P1bY7ODrw18W/3ls9Pxb61s2jLRkTyCP/XbmKUqmkYMGCDBk4jNo13GhU352li5eRlpaW19UT74GdvT0AD+7fV0u/e/cu8fHxWFpaMmHyeOyL2au2paamcuzIn5RxdHyvdf0YaPtAGX0bQJYgkEdiY2MBGD92Io6OZQgIXEyXrp35KTCIVStW52ndxPtRpWplHMo4MH3qj1z66xJxcc/YvHELRw8fAyAxMTHDZ5YuXsaN6zfw8Oz1vqub78nAsGaZdgc1bNhQ64Nx8OBBXdVHb6S8TAGgbr26jPjeGwBXt9rEPnnCT8uC6NW7J4aGMpD1MTMxMWH+gnmMHTWWbzt3B6B6jWp49OnFsiWBmBY0Vcu/ImglPwUG0dOjB42+bJgXVc7XDOSaV6NMg8CoUaMYN24cZcuWpXHjxu+zTnrBzCx9oKveG/3Bn3/uxsb1G7l39x6lSpfKi6qJ96h8hXJs/nkTD+4/ICU1lZIlS7AsIBADAwPVA8uVSiVzZ89j3eoQunzTWXXRILLHQCFBQJNMg0CrVq0oUKAA3t7e/Pjjj3z66afvs14fvVIO6Sf4ly/VH6iekpLeQtC3Jqk+SkxMZP++33Gr46rW73/lyhXKVyiHkZERaWlpTBg7iZ3bd9K3nydDhg/Owxrnb/JvSrMsQ2OTJk1o1aoVfn5+76s+eqNcubLY2tmyb6/6tLXDh45iY2tD8RLF86hm4n0xMjLC94fp7Nn1v5u/IiPvcvTwMRo2Su/umTd7Pju372TkqBESAHJIBoY1e+sU0QkTJhAZGfk+6qJXDAwMGDp8MBPGTsL3h+k0bdaE8OMn2P7LdsZPGoeBgTRdP3bGxsa079COoMBgrK2tsbAwx3/+Qj755BO69+rG5b8vE7J2PXXq1qFGzepcOH9B9VkDA0OqVK2ch7XPf/Tt5K4tuVksj+3euZug5Su4fes29vZ29OrTi46dO+R1tfKMPt0sBunLQiz0W8Te3b/xIvkFrm61GeHjTclSJVm6eBnLlgRq/FzBggUJP/3ne65t3tHFzWIRj7Q/Xi5F674900dCgoD4oOhbEBDa0UUQOP3ouNZ5axX9/O2ZPhJyx7AQQi/I7CDNJAgIIfSCjAloJkFACKEXZIqoZhIEhBB6QVoCmmUaBLp166Z1ISEhITqpjBBC5Jb3EQQCAwM5ePAgGzZsUKVFRkYybdo0Tp06hampKe3atcPb2xsjo/+dfkNCQlixYgUPHz7E2dmZ8ePHU61aNZ2WkZlMg0Dp0qWzfQCEEOJDldsDwyEhIfj5+VGzZk1VWnJyMp6enjg6OhIaGsqdO3cYN24cRkZGeHunL/8RFhbGnDlzmDZtGs7OzgQFBdG3b192795NkSJFdFJGVmSKqPigyBRRoYkupoj+/eSc1nkrFa6hdd6oqCgmT57MiRMnsLe3p3DhwqqWwPbt2xk7dizHjh2jUKFCAGzevJkZM2Zw/PhxTE1Nad68OY0bN2bUqFFA+nLhTZs2pUOHDgwaNEgnZWRF6zGBR48ecf36dbXn3yYnJ3P+/HmGDh2q9QETQoi8kFvdQZcuXcLc3Jxff/2VgIAAbt26pdoWERGBs7Oz6uQN4ObmRkJCApcuXcLBwYGbN2/i5uam2m5oaEitWrWIiIjQWRlZ0SoIbNu2jYkTJ/Ly5UsUCgVKpVI10l6iRAkJAkKID152gkBcXBxxcXEZ0q2srLCyslJLc3d3x93dXWM5UVFR2Nvbq6XZ2toC8ODBA0xN05cL15Tn4sWLOisjK1p1ki1fvpzWrVuzZ88eLC0t2bp1KwEBAdja2jJkyBBtihBCiDyVnYfKrF69msaNG2d4rV6dvQc+JSUlYWJiopb26v2LFy9UDw7SlCc5OVlnZWRFq5bAnTt3WLRoEWXKlMHJyYmYmBjc3d1JSUlh2bJlfP3119oUI4QQeSY7LYFevXrRrl27DOlvtgLextTUNMOJ+NV7MzMz1VW8pjyvnjmiizKyolVLwMTERBVlHBwc+PfffwGoUqWKWv+XEEJ8qAwUBlq/rKysKFmyZIZXdoOAvb090dHRammv3tvb21O8eHG1tNfz2NnZ6ayMrGgVBKpUqUJoaCgAFSpU4Nix9Geg/vfffxgbG2tThBBC5DFFNl66Ubt2bS5fvqw2vnDixAnMzc2pVKkS1tbWODo6cvLkSdX21NRUTp8+jaurq87KyIpWQWDIkCGEhIQQHBxMmzZtuHTpEs2bN2f48OE0adJEmyKEECJP5cWD5ps0aYKdnR3e3t78888//PHHH8ybN4/evXurelf69OnD6tWrCQsL4+rVq0yYMIHnz5/TqVMnnZWRFa3GBFxcXNi7dy/JyclYW1uzfv16QkNDKVasGD169HjX4yOEEO9NXiwbUaBAAYKCgpg6dSqdO3fGysqKLl26qM3d79y5M/Hx8SxYsIAnT55QuXJlVqxYgbW1tc7KyIrcLCY+KHKzmNBEFzeL3Xh2Reu8jpYVc7y//EKrlkDPnj2z3L5mzRqdVEYIIXKLrCKqmVZB4M0R5pSUFG7dusX169ffGiCEEOJDYKDdEKje0SoIzJkzR2O6n5+fxrvqhBDiQyMtAc1yFBo7duzIzp07dVUXIYTINYps/KdPcvRQmatXr5LH48pCCKEVaQloplUQeLU86evi4+M5fvw4LVq00HmlhBBC1/TtCl9bWgWB+/fvq71XKBQYGxvj6elJ7969c6ViQgihSxIENMvxfQIPHz7ExsbmnT8v88HF6+Q+AaGJLu4TeJB4R+u89gVL5Xh/+YVWA8POzs7ExMRkSL937x7NmjXTeaWEEEL33v/aQflBpt1Bu3bt4siRIwAolUp8fX0pUKCAWp7IyEitlioVQoi8pl+ndu1lGgRq1KhBSEiIavZPZGSk2pPtFQoF5ubm/Pjjj7lfSyGEyDEJA5poNSbQo0cPAgICsr2Wtjak71e8TsYEhCa6GBOITrqndV5b0+I53l9+odWYwNq1azl16hQHDhxQpU2YMIFDhw7lWsWEEEKX5GYxzbQKAps3b2bYsGHcvXtXlZacnMygQYPYtWtXrlVOCCF0RYKAZlp1B7Vo0QJPT88MDyjYuHEj69atY/v27e9cAWn2i9dJd5DQRBfdQY+SHmidt6ipfY73l19o1RK4f/8+derUyZBet25dbt++rfNKCSGEruXFk8XyA62CQIkSJQgPD8+Qfvr0aWxtbXVeKSGEEO+HVstGdOvWjRkzZnD79m2qV68OwMWLF1mzZg1DhgzJ1QoKIYQu6Ftfv7a0XjYiODiYVatW8fDhQwBsbW3x8vKiefPmFC1a9J0rIH2/4nUyJiA00cWYQOyLh1rn/aTAuy+Fk99ke+2g2NhYjI2NuXTpEhs2bOD333/n4sWL71wB+ccuXidBQGiiiyDwJPmR1nkLm7z7hW1+k63nCTx79ozt27cTGhrKjRs3MDExoV27drlVNyGE0CHpDtJEqyBw8eJFQkND2bVrF4mJiSgUCnr27ImXQaulawAAB1lJREFUlxfW1ta5XUchhMgxCQGaZRoEkpKS2LFjBxs2bODSpUuYm5vTrFkzWrZsyaBBg+jUqZMEACFEPiJhQJNMg0CDBg1IS0ujQYMGeHl50ahRI0xMTADkkZJCiHxH3+b/ayvT+wRSUlIwNzfH1NSUly9fkpKS8j7rJYQQOiXLRmiWaUvg2LFj7Nmzhy1bthAWFoapqSkNGzakZcuWElGFEPmQnLc00WqK6M2bN9myZQu//PILDx8+RKFQ0LZtW/r27Uu5cuVyVAGZCiheJ1NEhSa6mCIa//Kp1nktjAvleH/5RbbuE0hLS+PgwYOEhYVx8OBBUlNTqVOnDitXrnznCsg/dvE6CQJCE10EgecpcVrnNTfS/bNTPlTv/KD5mJgYfv75Z8LCwti5c+c7V0D+sYvXSRAQmugmCDzTOq+5kWWO95dfvHMQ0BX5xy5eJ0FAaKKLIJCQEq91XjMjixzvL7/I1h3DQgiRX8mEFs3yPAjoIsKLj4/8LoR4P/K8O0gIIUTe0eqhMkIIIT5OEgSEEEKPSRAQQgg9JkFACCH0mAQBIYTQYxIEhBBCj0kQEEIIPSZBQAgh9JgEASGE0GMSBN7g7u6Ok5OT6uXs7IyLiwseHh6cOXNG5/u7desWTk5OnDhxAoAxY8bwzTffaPVZpVLJzz//zOPHjzPNk5aWxsKFC/niiy+oXr06ffr04datWzqpuz752H4XrwsMDNS6bPHxkSCgQa9evTh69ChHjx7l0KFDrF+/HlNTU/r06cO9e/dydd/jx49n6dKlWuUNDw9nzJgxJCYmZponICCADRs24Ovry8aNGzE0NMTT05MXL17oqsp642P6XbwSEhKCn59fTqsn8jEJAhoULFgQGxsbbGxssLW1pWLFivzwww8kJiayb9++XN23paUlhQsX1irv25Z9Sk5OZsWKFQwePJiGDRvy6aef4ufnx6NHj9i9e7cuqqtXPpbfBUBUVBT9+/dn7ty5ODo65rR6Ih+TIKAlI6P0BVcLFCgApHcPzJw5k9atW+Pq6srhw4cB2LJlC1999RVVq1alRYsWLF++nJSUFFU5V65coWfPntSoUYNmzZpx8uRJtf282ey/c+cOQ4YMwcXFBVdXV4YMGcKDBw84ceIEvXv3BqBx48YsWrQoQ50vX75MQkICderUUaVZWFhQqVIlIiIidHRk9Ft+/F0AXLp0CXNzc3799VeqV6+uuwMi8p08X0o6P4iKimLmzJmYmZnRoEEDVfq6desICAigaNGilC1blvXr1+Pv78/EiROpUaMGV65cYdq0ady5c4dp06bx7NkzPDw8qFatGps2bSI6OpoJEyZkut9nz57RrVs3ypUrx8qVKzE2NmbatGn079+fTZs24e/vz/Dhw9m8ebPGZz1HRUUBYGdnp5Zua2vL/fv3dXR09Fd+/V1AerByd3fX+TER+Y8EAQ2Cg4NZs2YNACkpKSQnJ1O2bFn8/f0pXry4Kl/9+vVp2LCh6v2yZcvw8vKiTZs2AJQqVYrk5GRGjBjBiBEj2Lt3LwkJCcyaNYtChQpRsWJFxowZw7BhwzTWY+fOnTx9+pT58+fzySefADB9+nQ2bdpEcnIyhQqlPwzb2toac3PzDJ9/1SdsYmKilm5iYkJycvK7Hh699bH8LoR4nQQBDTp16oSHhwcABgYGFC5cGEvLjM8cdXBwUP1/TEwMUVFR/L/27t8lnTiO4/jTwSiRQAzEwR9gg40NNjU5NCSOQYZDLo6BRDkYNUpDhBC41CJEf0Br4N4anCKhdqNDEDpFWIN0X8P8fv2SQXSvB7h8znvjHe+PL7yP8CmVSpydnVnj/X6ffr9Pu92m0WgQCASsSQqwvLw89nM0Gg2CwaA10QHC4TD7+/sTXcfs7CwwWBsYDoLn52dcLm3a8r9+S1+IDFMIfGJ+fv7DRB7n/UsWBpMaIJ/Ps7q6OvJen8/H9fX1yLjT6Rxb/2/HJuH3+wHodDq43X/2TO10OiwuLn6pth39lr4QGaaF4Snxer14vV5M0yQUClmvZrPJyckJLy8vLC0t8fDwwOPjo3Xe3d3d2JqRSATTNHl6erLGWq0WsViM+/v7f+6ZGo1GcbvdHxYZe70ehmGwsrLyhauVSf3EvhAZphCYEofDQTab5fLykkqlgmmaVKtVCoUCMPhXTiKRYGFhgd3dXer1Ore3txSLxbE1k8kkHo+Hvb09arUahmFQKBQIhUJEIhHreW+tVqPb7Y6cPzMzQzqd5vT0lJubG+r1OrlcDp/Px9ra2vfcCPngJ/aFyDCFwBRtb29zcHDA1dUV6+vrHB0dkUwmOT4+BsDlclGpVHA6nWxubpLP58lms2Przc3NcXFxAcDW1haZTAa/30+5XMbhcBCNRonH4+RyOUql0qc1dnZ22NjY4PDwkFQqxevrK+fn5yOLxfJ9fmJfiLzTRvMiIjamXwIiIjamEBARsTGFgIiIjSkERERsTCEgImJjCgERERtTCIiI2JhCQETExhQCIiI29gYld3yPSVETgAAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5303,6 +5438,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9913671850746173\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5317,7 +5453,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5329,6 +5465,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9795140450355617\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5343,7 +5480,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5355,6 +5492,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9680585668310551\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5369,7 +5507,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAERCAYAAACdPxtnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1gUV/vw8e/SRJqKUqyIDbuiCMYu9vaLxprHLkaiYpSIxK5RLLEEGxoU7CiJhhi70TxqlCiKPfaKYsEOIk3K+wcv+7iy4CKLSPb+eO11uWfOnjkzu8w9p8yMIi0tLQ0hhBA6SS+/KyCEECL/SBAQQggdJkFACCF0mAQBIYTQYRIEhBBCh0kQ+JeTyV8fj+xrURBpJQhcvHiR8ePH4+rqSu3atXF1dWX8+PHcunVLG8WrdeLECTp16kTNmjXp2LGj1spdunQpDg4OJCcna63MrISEhODg4ICDgwNXrlxRm+fatWvKPJGRkTkqf8uWLcyePfu9+VxdXfHy8spR2e/Kq+8jQ//+/fnyyy+1Xq46kZGRODg4sGXLFo0/8+eff6rsw4zvNiIi4oPr8fbv4+1XrVq1aNmyJZMnT+b58+cfXP6nzMHBAV9f3/yuhk4wyG0BwcHBzJw5k3r16jFq1ChsbGy4d+8e69ato3v37gQEBFC/fn1t1FXF3LlziY+Px8/Pj6JFi2qt3O7du/PZZ59hYJDrXaMxPT099uzZQ9WqVTMt27lz5weXu2LFCurVq/fefIsXL8bMzOyD1wN5933kB2tra4KCgihfvrzGn1m7dq3KiUPz5s0JCgrC1tY21/Xx9fXF2tpa+f7169ecPn2awMBAbty4QXBwcK7X8akJCgqiVKlS+V0NnZCrI93Zs2eZMWMGffr0YerUqSrLOnToQI8ePfD29uaPP/5AX18/VxV918uXL3F0dKR58+ZaLbdUqVIf/cdXv3599u7di6enZ6Zlu3btonr16ly6dCnP1l+rVq1cl5FX30d+MDIywsnJKVdlFC9enOLFi2ulPjVq1MDOzk4lrXnz5qSkpLBq1Spu3LhBpUqVtLKuT0Vu97/QXK66gwICAjA3N2fcuHGZlllYWDB+/Hg6d+5MTEyMMn337t10794dR0dHGjVqxJQpU3jx4oVy+dKlS2nTpg1Hjx6lW7du1KpVC1dXV9auXQv8r6l+//59du7ciYODAyEhIVk2v7/88kv69++vfH/58mWGDBlCgwYNqFu3Lv/5z38IDQ1VWf+73UG5rfP7dOjQgTt37mQ60J89e5ZHjx7Rvn37TJ85cOAAffv2xdHRkZo1a9K+fXs2bNigXJ6xj3bs2IGDg4NKPVeuXImLiwuNGjXi0aNHKt1Bc+fOxcHBQWWfHDhwAAcHB7Xbk9X3AXDnzh2++eYbmjRpQp06dejXrx8nT57M9Nn169fTpUsX6tSpw/r16zXaZ1n5+++/6du3L/Xr18fZ2RlPT0/u37+vkufMmTP07duXunXr0rJlSzZu3MigQYMYP368Sr0yuoPS0tJYtmwZbdq0oWbNmjRv3hwfHx/i4uKA9O60EydOcPr0aWW3nbrf49GjR5XfWePGjZkwYUKuunMsLCwypT169IixY8fi4uKi3Odnz55VyRMbG8vUqVP57LPPcHR0ZOzYsaxfv175O4H07jdvb2/Gjh2Lo6MjvXv3BiApKYkFCxbQokULatasSadOnfjtt99Uyr937x4eHh40bNiQ2rVr061bN5UW7fv2J2TuDnr8+DETJ06kRYsW1K5dmy+++IIDBw6orNfBwYHNmzczffp05fZ/9dVX3L179wP2ru744CCQlpbGkSNH+OyzzyhcuLDaPK6urnh6elKsWDEAli9fjqenJ9WrV8fX15fhw4ezb98+BgwYQHx8vPJzT58+ZdKkSfTo0YMVK1ZQo0YN5syZQ2hoqLKpbmVlRZMmTQgKCtL47DM2NpbBgwdTqFAh5s+fz6JFizA0NMTd3Z179+6p/Yw26vw+n332GZaWluzZs0clfefOncplbzt06BAjR46kcuXKLF26lEWLFlG6dGl8fHwIDw8HyLSPMjx8+JBt27Yxb948vLy8MnVXeHp6UrFiRaZOnUp8fDzPnj1jypQpNGnShIEDB2aqe1bfx40bN/jiiy+4c+cO3333HfPmzQNg0KBBHDt2TKWM+fPn06dPH3744YdctSR+//13Bg8ejKWlJfPmzcPb25szZ87Qu3dvnjx5AsDNmzcZNGgQKSkpzJs3j+HDh7N8+XJOnz6dZbn+/v6sWbOGwYMHs2rVKgYPHswvv/yiHG9ZvHgx1apVo0qVKgQFBal03WT466+/+OqrryhcuDDz5s1j3LhxHD16lOHDh793u1JSUkhOTla+Xrx4wd69ewkMDKR27dpUqFABgBcvXtCnTx/OnDmDt7c3CxYsQF9fnwEDBvDPP/8oyxs5ciS7du1i+PDhLFiwgJcvX7JgwYJM6929ezeJiYksXboUd3d3AEaNGsXGjRv58ssv8fPzw8nJifHjxyt/Y6mpqQwbNoxnz57h4+ODn58f5cqVY+zYscrf5vv257uePn1Kjx49OH78OB4eHvj6+lKqVClGjhyZKQD5+vry8uVLfvjhByZPnszZs2fx9vZ+7z7WZR/cHfTixQsSEhIoU6aMRvmjo6NZsWIFX3zxBTNnzlSmOzg40L9/f7Zs2cKAAQMAiIuLY9GiRcoDQv369Tl48CD//e9/ady4MU5OThgZGVGsWLEcNRtv3rzJixcv+Oqrr5R95bVr18bf35+EhIQ8rXN29PX1adeuHXv37mXs2LFA+h/+3r178fLy4s2bNyr5r127RqdOnZg+fboyrX79+jRs2JATJ07g5OSU5T568+YN3333XZYH20KFCvHDDz/Qp08fli9fzu3bt0lLS2Pu3LkoFIpM+TO6Tt5d18yZMzEwMGDjxo3KM1ZXV1c6d+7MvHnzVP54W7VqRd++fbPdR++TmprK/PnzcXFxYenSpcr0Bg0a0KlTJwICApgwYQL+/v6YmpqyevVqTExMAKhUqVK2g87h4eHUqVOH//znP0B60DY3N+f169dAeneaubk5ycnJWf4ely5dSsWKFVm5ciV6eunnXsWKFWPGjBncvn0be3v7LNffoUOHTGlFixalVatWeHl5Kctbu3YtT58+ZefOncrxjBYtWtC1a1d8fX0JDAzk2LFjHD9+nEWLFinLbdGiBV26dOHmzZsq68j43jPGi/7++28OHTrEDz/8QNeuXYH0bqnU1FQWLVpE9+7diY2N5datWyxYsIDWrVsD0LBhQ2xsbJS/n/ftz3etWbOG58+fs2vXLmW3WKtWrRgwYADz5s2jS5cuyjG8cuXKsWjRIuVn79+/z4oVK3jx4oXyZFSo+uCWQEYff0pKikb5z549S1JSEl26dFFJd3Z2pnTp0pw4cUIl/e3B5MKFC1O0aFGV5uKHqFy5MlZWVgwfPpzvv/+eP//8EyMjIyZMmEDlypXztc4dO3bk7t27yjO2sLAwXr16pfxDetuwYcP48ccfSUhI4MqVK+zdu5eAgAAgvbn+Pm83+9WpVasW7u7uBAQEsH//fmbNmoWVlZVG25HhxIkTNGvWTKXLwtDQkM6dO3Pp0iVevXqlTK9SpUqOylbn9u3bPHnyJNN3ZWdnh6Ojo/K7On78OM2aNVMGAIB69epRunTpLMtu3LgxoaGh9OvXj7Vr13L9+nW6d++uPAF4n4SEBC5cuECbNm2UB2xIP4D++eef2QYAAD8/P7Zu3UpwcDADBgxAX1+fgQMHMnv2bJVW4vHjx6lSpQplypRRthoUCgUtW7YkLCyMpKQkjh8/jr6+Pm3atFF+Tl9fX+2MrlKlSqlMGMhowbm6uqq0TFq3bk1MTAznz5+nePHiODg4MGXKFCZMmMDu3buJjY1l4sSJyr+PnO7PEydOUKtWrUzjIl27duX58+fcuHFDmfbuJJSSJUsCqLTahaoPbgkUKVIEU1PTTP2tb0tMTCQmJgYrKyuio6MBKFGiRKZ8JUqUUBk3ADA2NlZ5r6enl+t52CYmJmzevBl/f3/27dvHpk2bMDIyom3btkyfPh1zc3OV/B+zzk5OTtjY2LBnzx5q1qzJzp07adGihdpZOy9evOD7779n//79pKWlYWdnpzwD1WR96rbnXd26dWP58uUUKVKEBg0aaLQNb4uOjlYbODLW/XYQyGmAUefly5cq5b+7zgcPHgDw/PlztWeE2e2TQYMGYWZmxq+//sq8efNISUnBzs4OLy8v2rZt+966RUdHk5aWptF+V6dy5crKA6CjoyNGRkYsXryYQoUK4ebmpsz34sULIiIiqFGjhtpyXrx4wYsXL7CwsMg0+03dIPa79c0YB8vq9xAVFYVCoWDNmjX4+/uzf/9+QkJC0NfXp2nTpnz//ffY2trmeH9GR0ernTmn7rek7m8Q0luKQr1czQ5q0qQJYWFhJCQkZNr5AHv27OG7775j5cqVFClSBEjv33v3zO/x48fUqVMnN1VRNjXfbZnExsaqTFksW7YsPj4+pKWlceXKFXbv3k1gYCBFihTJNMMpr+v8Nj09Pdq3b8/evXsZPXo0+/fvz7KPdOzYsdy8eZM1a9ZQt25djIyMiI+P55dfftFKXdLS0pg6dSolS5bk9evXzJgxQ22fcXaKFCmi7Id/2+PHj4H07gxtznHP+I6fPn2qdp0ZB35bW1uePXuWKc+zZ8+UfevvUigU9OzZk549exITE8PRo0dZuXIlnp6eHDx4UO0YwNvMzMxQKBSZtjclJYUjR45Qq1atHM0kGj16NAcPHsTX15emTZsqf5vm5ubUr1+fCRMmqP1csWLFsLGxITo6mjdv3mBoaKiy/e9jbm6OsbExGzduVLs8o2u4ePHiTJw4kYkTJ3Lr1i0OHDjA8uXLmTZtGv7+/jnen+/7LUk3T+7kanbQkCFDiI6OVnuAePnyJX5+ftja2tK4cWPq1KmDkZERO3bsUMl38uRJHj58mOtrCTLOmB8+fKhMe/LkCbdv31a+37t3Lw0bNuTx48coFAqqVavG2LFjqVChgtoWTV7X+V0dO3YkMjKSlStXkpaWlmW//alTp2jdujXOzs4YGRkBcPjwYUC1JfB210NOBAUF8ffffzNz5kzGjRvHjh072LdvX47KaNCgAX/99ZdKayk5OZndu3dTvXp1le4YbbC3t8fKyirTd3X37l3OnTun/K4aNGjAkSNHVLoHLl68mO2FeH369FGOCVlYWNCxY0e+/vprkpOTiYqKArLf16amplSrVo0DBw6ofD9hYWG4u7tn6ot/HyMjI6ZPn86bN29UxqqcnZ25ffs2dnZ21KpVS/navXs3a9euxdDQEGdnZ1JTU1Vm1qSlpbF///73rtfFxYWEhATevHmjUn5ERASLFi0iPj6eM2fO0KhRI86fPw9AhQoVGDZsGC4uLsq/MU3259saNGjAhQsXMs3y2b59O5aWlu/tThPZy1VLoG7duowZMwZfX19u3brF559/TokSJbhx4wbr1q3jxYsXrF+/HgMDA4oWLcqwYcNYtmwZhoaGtGrVisjISJYsWYK9vT3du3fP1YZ89tlnmJiYMHfuXEaPHk1SUhL+/v4qXTz16tUjLS2Nr7/+mqFDh1KkSBGOHDnC9evXGTp0aKYy87rO76pbty6lS5fmp59+okuXLsoD/Ltq167Nzp07qVGjBra2tpw+fZqAgAAUCoXKGISFhQVXr17l2LFjuLi4aFSHiIgIFixYQLdu3WjSpAkAO3bsYNq0aTg5OWl8xurh4cFff/1Fv379GDZsGIUKFWLDhg3cu3cPf39/jcp41+PHj9VOUy1Xrhyurq58++23TJgwgW+++YbPP/+c6Oholi1bhrm5OUOGDAHg66+/Zvfu3bi5uTFkyBBiYmJYsmQJenp6age+If0glNFadHJy4tmzZyxbtgx7e3uqVasGpO/r06dPExoaiqOjY6YyvvnmG4YPH87IkSPp0aMHL1++ZPHixTRs2PCD5sQ7OzvTuXNndu7cya5du+jUqRODBw9m+/btDBgwgMGDB1O8eHEOHDjA5s2bGT16NAqFggYNGtC4cWOmTp3Ks2fPKF26NFu3buX69etZbn+GZs2a4ezsjIeHB+7u7lSuXJlLly6xbNkyHB0dKVWqFMWLF6dw4cJ4eXkxYsQIrK2tOXfuHEePHmXEiBEa78+3ZWzXoEGDGDFiBJaWlmzbto2wsDB8fHy0fg2Srsn1ZbFff/01NWrUICgoiIULF/LixQtsbW1p2LAhw4cPp2zZssq8o0aNokSJEmzcuJGQkBCKFi1K+/bt8fT0xNTUNFf1MDMzw8/PjwULFjBmzBhsbW0ZMmQIFy9eVJ5BWFtbs3r1ahYtWsSMGTN4/fo19vb2zJ49Wznb4V15WWd1OnbsyKpVqzINcL5t7ty5zJw5U9ldVL58eaZPn87u3bs5deqUMp+7uzvTpk1jxIgRmc6Q1UlNTeW7777D1NRUOWcewMfHhy5dujBlyhSWL1+u0XZUrlyZTZs28eOPPzJlyhQgPXitW7fug8YYIH3+/pw5czKlt2rVCldXV7744gtMTU3x9/dnzJgxmJqa0rhxY7799ltsbGyA9IHiwMBA5s2bh6enJyVKlGD48OEsW7Ysy+9zzJgxFC5cmN9//52AgABMTExo3Lgx48aNU/atDxo0iHPnzjF8+HBWr16dqYyWLVvi7++Pn58fo0ePpmjRorRu3RpPT88PbrF5e3tz8OBBfvjhB1q2bIm1tTXBwcH8+OOPzJ49m4SEBMqVK8e0adOUM3EgfRrl3LlzWbx4sXJgt0+fPmzbti3b9enp6bFy5UqWLFnCmjVrePr0KdbW1nz55Zd4eHgA6bPL1qxZw8KFC5k/fz7R0dGULl2aMWPGKE+0NNmfb7OysmLz5s0sXLiQefPmkZiYiIODg/JaA5E7Cnm8pNAlR48exdDQUKVlFB0dTePGjRk/fjz9+vXLx9rlvcjISE6dOkXbtm1Vru/55ptvlBe5Cd3y8W6QI8Qn4OrVqyxatIgxY8ZQvXp1Xr58ybp16yhSpEie3PjuU6Ovr8+UKVP4888/6d69O/r6+hw5coQ//vhDeUGf0C3SEhA6JTU1FX9/f7Zt28bDhw8xMTHBxcUFLy8vla7Lf7Pjx4/j5+fH5cuXSU5OplKlSgwZMkQngqDITIKAEELoMHmojBBC6DAJAkIIocNkYFgIoRMUbTS72SVA2v6cPcWvIMv3IJCTL0b8+2X88b1OfvWenEKXmBqYvz/T+7znYjhdle9BQAghPgrp/FZLgoAQQjdIS0AtCQJCCN0gMUAtCQJCCN2gL1FAHQkCQgjdIN1BakkQEELoBokBakkQEELoBj2JAupIEBBC6AaJAWpJEBBC6AYZE1BLgoAQQjfI7CC1JAgIIXSDxAC1JAgIIXSDdAepJUFACKEbZHaQWhIEhBC6QWKAWhIEhBC6QVoCasnNVYUQukFPofkrB27duoWDg0Om15YtWwC4fPky/fv3p27durRo0YLAwECVz6emprJkyRKaNm1KnTp1GDJkCBERESp5tFFGlrslR1srhBAFlSIHrxy4evUqZmZmHD16VOXVpUsXnj9/zqBBg7Czs+PXX39l9OjRLFmyhF9++UX5eT8/PzZv3oyPjw8///wz+vr6uLm5kZiYCKCVMrIj3UFCCN2QR7ODrl27RsWKFbGyssq0bO3atRgaGjJ9+nQMDAyoWLEiERERrFy5kl69epGUlMTq1avx8vKiefPmAPj6+tKkSRP27NlD165d+eWXX3JdRnakJSCE0A16OXjlwNWrV6lYsaLaZeHh4Tg5OWFg8L/zbRcXF+7du0dUVBSXL18mLi6Ohg0bKpebmZlRvXp1wsPDtVZGdqQlIITQDTloCcTExBATE5Mp3cLCAgsLC5W0a9euYWdnR58+fbh79y7ly5dnxIgRNGnShKioKCpVqqSS39raGoCHDx/y+PFjAGxsbDLlefjwIYBWysiOBAEhhG7IwYDvunXrWLZsWaZ0Dw8PRo0apXwfFxdHZGQklpaWjB07FlNTU7Zv387QoUNZvXo1CQkJGBkZqZSR8T4xMZH4+HiVtLfzJCUlAWiljOxIEBBC6IYcdPMMHDiQbt26ZUp/txVgYmLCqVOnMDQ0VB6Ea9asyc2bNwkICMDY2DjTgTjjvYmJCcbGxsq0tw/iSUlJmJiYAGiljOxIEBBC6IYcdAep6/bJiqmpaaa0KlWqcPDgQcqWLavsrsmQ8d7W1pa0tDRlmpmZmUqejC4gW1vbXJeRHRkYFkLohjyYInrmzBkcHR05f/68Svo///xD5cqVadCgAadOnSI5OVm57Pjx45QvXx4rKyuqVq2KmZkZJ06cUC6PjY3l0qVLODs7A2iljOxIEBBC6IY8uFisZs2alClThilTpnDq1Clu3ryJj48PZ86cYfjw4XTv3p34+HgmTpzIjRs32LZtG2vXrsXd3R1I77fv168fvr6+HDhwgCtXruDp6YmNjQ1t27YF0EoZ2VGkZbQl8omiTZn8XL34xKTtjwTgdfKrfK6J+JSYGpjnugzFqFoa501bekHjvFFRUSxcuJDQ0FBiYmKoUaMG3377rfIs/MKFC8yaNYuLFy9iZWXFoEGDGDBggPLzKSkp+Pr6EhISQnx8PPXr12fatGmULVtWmUcbZWRFgoD4pEgQEOpoIwjoja6tcd7Uxeffn+lfQgaGhRA6QSHPE1BLgoAQQidIDFBPgoAQQifoSRRQS4KAEEInSHeQehIEhBA6QU9PZsSrI0FACKETpCGgngQBIYROkO4g9SQICCF0ggQB9SQICCF0giKnz43UERIEhBA6QVoC6kkQEELoBP0c3BhOl0gQEELoBGkJqCdBQAihEyQIqCdBQAihEyQGqCdBQAihE6QloJ4EASGETpAgoJ4EASGETpB7B6knQUAIoROkIaCehMYPYGlelLT9kZleW6b4A1C/Sm21y+cPm6xSjsfng7m29ghxO29wfuUBejbrrLK8qFkR1oz7kae/XuB5yD+s+nY+5iZmKnla12tK2NKdxO+6we0Nx5j4n1HS7P1EHf7vYZo0aKaSlpCQwLLFfvxf+640dmrKl93/w749f6jkObDvAPVqOGV6BQf9rHY94SfCqV+zAeEnwvNsWwoihUKh8UuXSEvgA9SpWB2AtuP/Q0xcrDL9WcwLAGrbVyM2/jWtv/tS5XMPnj5S/n9cr+HMGuzNlLULOHntLL2b/x/Bk5bzJPo5h879DcCvU1dSoWQ5vl48HpNChZn/1WRsi1nRZcogAJrUdGbP7A0cPn+c7t8Pw6poceYMGU85q9J8vXh8Xu4CkUPnzpxj8vipvPtI7zkz5nLwv4cYMWo49hXKc/jgX0zwmohCoaBt+zYAXL92g7LlyjJz7gyVz5YuXSrTehISEpgx1SfTeoSMCWRFgsAHqG1fjUfPH7P/1F/ql1eoxj93rhJ2+bTa5eYmZkzr58mEwLks3JreevjvmVAcylakbf1mHDr3Ny3qNMLVsTEuo7pw4soZACKfPuTPeT/jWKkmZ278g3ev4dx7/IBOkwaS+CYRgIfPH7Nn1gaWbFvNpYhrebD1IieSkpLYtGEzK5b+ROHChUlNTVUue/H8BTt+38nUGZPp2r0rAC6fuRB5L5INaza8FQSuU61GVWrXqfXe9S1fsoKkpKS82ZgCTp4spp50B32A2hWqcf725ayX21fj/K2sl7et3xxjo0IE7Nmskt5ibA8mrp4LQOt6TYh68UQZAAAOnv2b6NcxtG/QAoAqZSpw+MJxZQAAOPrPCfT09Gjn1PxDNk1oWeiRv1kTsJYxXqPp3be3yrLXr1/To3d3GjZqqJJuV96O+/cfKN9fv3aDylUqv3dd/5z/h62//IrnuDHaqfy/jJ6eQuOXLsm2JfD8+XN+/vlnwsPDefjwIYmJiZiYmGBra4uzszM9e/akaNGiH6uun4zaFaqRkJRI6KJt1Ktck6fRL1iybTXzf1kBQC37qiS+SeLMT/uoXq4ydx8/YGbQItbv36r8/MPnj6lbsQY/fj2VWvZVuRMVyfiAOYQc3Q2kH+BvPLijst60tDTuPIqkSpkKANx78oByVqVV8tjblgOgvE3ZvNwFQkM1alZn577tmFuY85Ofv8qyMmXLMHHqBJW0lJQUQo/+TXn78gDEvY7jwf0HXL18la4dv+DB/fuUr2DPN54eNGnWRPm5N0lv+H7KDIZ8NZjy5e3yerMKJLmLqHpZtgQuXLhAhw4d2LJlC8WLF8fV1ZXPP/+c5s2bU6xYMTZv3kyHDh24cuXKx6xvvlMoFFQvVwWHMhXx37WRDhMHsPng78wZMp4p/cZQsrgNVkWLU7m0PbM2LaHjpAEcPn+cdd6L6N+6OwBWRSwxK2xC8CQ/AvZspv3EfoRfO8eWKT/RsFo9ACxMzHgV9zrT+l/Fx2JhYg7Axj9DcHVszIQvPbA0L0rVcpVYOeYHEpMSMTU2+Xg7RWTJ2sYacwtzjfP/tMyfO7fuMHDIACC9KygtLY379x/wrbcnvst8KVWqJGNGfsvJsP8N/Ab4B6LQ02PgkIFa34Z/CxkYVi/LlsCsWbNwdXVl1qxZaufXpqamMmnSJHx8fNi4cWOeVvJTolAo6DxlIHcfP+Dm/z9TP3Tub8wKm/BdrxEs2PIT7Sb05fytyzx6/hiAP88cpVRxG6b192TDgV8xNDCkqFkRBvwwmg0HfgXSu3qql6vClH5j6DRpAAqFQqX/+O31Z6Sv+2ML9rblmN7/W2YPGU9s/GsmBM6lnHVp4hLjP84OEVqzNmAtgStX039QP5q3TJ9FVKFiBZasWETdenUxM0ufGdawkQt9vviSAP9AGrg4cf3aDdav2cCqtf4YGsowX1Z07eCuqSxbApcvX2bo0KFZXmChp6fH0KFDuXjxYp5V7lOUmprKwbN/KwNAhr0nD2Fa2IQKJe34I/ywMgAol4cfomKp8pgamxAb/1qZliEtLY3/ng2lVvmqAES/foW5iWmm9ZsZmxL9+pXy/fT1CynStTrV3Vpi06suftvXYmtpxfNXL7W0xSKvpaWlsfCHH1niu4yefXoyxoVwgqYAACAASURBVGu0cpm5hTlNmjVRBgAAfX19XD5z4frVa6SkpPD95Bl069GVqtWrkpycTMr/P0lISU0lJSXlo2/Pp0qh0PylS7IMAlZWVly9ejXbD58/f17nxgRKFrfhq459KVHEUiW9cCFjIP0aAvfO/TAyNFJdbmRMXEI8rxPilH39RgaqeQwNDEkjfWrf9fu3qVCynMpyhUJBedsyXI28CUADh7p0cmlFQlICl+9eJy4hnhp2DhjoG3D2pm4F54IqNTWVKROmErR+E0OGDWbClO9UzlivXL7Cb1u3ZfpcYmIiRYsVJepRFJcuXiI46Gec6zTEuU5D+vXqD8BwtxF87Tb8o23Lp066g9TLMggMHjyYSZMmsXDhQo4cOcL169eJiIjg+vXrhIaG4uvry/fff8/AgbrVB1nI0IiVnj/Qr9UXKundm3bk6r2b6Ovp89PouXR0dlVZ/kWTDhz5JwyAP8IPA9CzWSflcn09fdrWb8bfF9P7edO7kGxp4FBXmadl3UYUMbXgzzNHgfQZRGu8flQJOCM/H8iruFgOnTumxa0WeeXHeb7s3rGHb8eNwWP0yEzLr165xsxpPly5/L+xt4SEBEL/CqWeUz2srKzY+PN6ldesH3wAmDhtApOmTfxo2/Kp09PT0/j1oW7fvo2joyNbtmxRpkVGRuLu7k69evVo1KgR8+fPJzk5WeVzQUFBtGrVitq1a9O7d2/Onz+vslwbZWQlyw7Evn37UrhwYfz9/Vm1apVKdExLS8Pe3p5JkybRs2dPjVb0b3Hn0T02/XcbMweNIzUtjct3r9OzWWe6N+lI1+lu/HXhOEcuhPHT6DkUMyvCw+ePce/Ul9oVqtLEMz1wXL9/m8A9wcweMh6FQsHFiGsM79wfO+vS9JjhDqRfN3D88mlCpq1i3CofDPUNWDBsCjuPH+D09QsAbDwQwoQ+Hqzx+pHAvZtp5diErzv3x3vVLF7GRufbPhKauXzpCps3BtOwkQu1Hetw/twF5TJ9PT1q1KpBm7atWbNqLd6e4xk5egTGhQqxbs0G4uLiGeruhqGRIdVrVlcpV19fH4Dy5e2Us4xE3nfzvHnzBi8vL+Li4pRpSUlJuLm5YW9vT3BwMPfu3WPixIkYGBjg6ekJQEhICPPnz2fmzJlUq1aNgIAAhg4dyp49eyhevLhWysiOIk2DSwufPXtGVFQU8fHxGBsbU7JkSSwtLd/3MY0o2pTRSjkfk7GRMVP6jebLFp9Tsrg1l+/eYMbGRWwL3QtAMfOizB7yHZ1dWlPcohinb1xgfMAcjv5zQlmGvp4+U/qNYUi73pQoYsm5W5fwXjWLIxfClHmsihZn6ciZdHR2JfFNEr///QeeP03n1VtXKTep6cxC96nUsKvCvScPWPxbID/t3PDxdoaWpe2PBOB18qv35Cx4fvLzZ8OajYSGH1G+X7l8ldq8hQsXVuZ79PARixcu4eSJcOLi4qjrWJdvvcdQqXIltZ+9evkqX/boy8o1P+Hk7JQ3G/ORmRpoPsMqK1UXddA475Uxe3Jc/o8//sjZs2cJCwvDx8eHnj17smPHDiZMmEBoaChFihQBYMuWLcyePZtjx45hbGxMu3btaNWqFd7e3kD6NOE2bdrQvXt3Ro4cqZUysqNREMhLBTEIiLzzbw4C4sNpIwhUW9xR47yXR+/OUdknT57Ew8ODbdu20aJFC2UQmDZtGpcuXVLpHrp79y5t2rRh06ZN2NnZ0bhxY1auXEnz5v+7wHPcuHE8ffqUNWvWaKWM7Mh8MiGETsjJgG9MTAwxMTGZ0i0sLLCwsMiU19vbm8mTJ1OyZEmVZVFRUdja2qqkWVtbA/Do0SOMjdMnlKjLc+HCBa2VkR0JAkIInZCTMYF169axbNmyTOkeHh6MGjVKJW369OnUrVuXLl26ZMqfkJCAqanqVG8jo/SJHImJicTHx6ukvZ0n4x5Q2igjOxIEhBA6ISezfgb2H0i3bt0ypb/bCti2bRvh4eHs2LFDbTnGxsaZDsQZ701MTJRn8erymJiYaK2M7EgQEELohJx0B6nr9lHn119/5dmzZ7Ro0UIlfcaMGaxdu5YGDRpw+bLqzSQfP06/kNTW1pZSpUop0xwcHFTy2NjYKPPltozsZDtFVFNBQUEa5xVCiPyQF1NEFyxYQEJCgkpa27Zt8fDwoHPnzpw9e5aQkBBiYmKUQSUsLAxTU1OqV6+OkZER9vb2nDhxgqZNmwLpM3tOnTpF797pd51t0KBBrsvITpZBoFy5clktEkKIAicvrgTO6kzb0tKS0qVLU6JECRYtWoSnpyfjxo3jwYMHLFy4kMGDByv78IcMGYKPjw/29vbUrl2bwMBAXr9+rbwGq3Xr1rkuIztZBoE5c+bkeIcIIcQnKx9uB1GoUCECAgKYMWMGvXr1wsLCgt69e6vM3e/VqxexsbEsXryYly9fUqNGDVavXq28FksbZWRH4+sEnj59yq1bt1RuSJWUlMS5c+f45ptvNN4pmSog1wmIt8h1AkIdbVwnUG9V5oHerJz+6rdcr6+g0GhgeNu2bUyZMoU3b96gUChIS0tTNq1Kly6dqyAghBAfg67dGE5TGs2ZWrlyJZ07d2bv3r2Ym5vz66+/4ufnh7W1daY5s0II8SmSu4iqp1FL4N69eyxdupTy5cvj4ODA8+fPcXV1JTk5mZ9++onPP/88r+sphBC5omsHd01p1BIwMjJSjkLb2dkpnzNQs2ZNIiIi8q52QgihJfJQGfU0CgI1a9YkODgYgMqVKxMaGgrA9evXMTQ0zLvaCSGElkh3kHoadQeNGjWKoUOHYmlpSbdu3fDz86Ndu3Y8fvyYTp06vb8AIYTIZ7l5WMy/mUZBwMnJiX379pGUlISlpSWbNm0iODiYkiVL0r9//7yuoxBC5JquneFrSuN7B719ZVylSpWYPHlynlRICCHygsQA9TQKAgMGDMh2+fr167VSGSGEyCvSElBPoyDw7v0xkpOTiYiI4NatW+8NEEII8SmQIKCeRkFg/vz5atN9fX3VPn1HCCE+NRIE1MvVcHmPHj3YtWuXtuoihBB5Rk9PofFLl+TqoTI3btwgn59TL4QQmpGWgFoaBQFvb+9MabGxsRw7doz27dtrvVJCCKFt0h2knkZB4OHDhyrvFQoFhoaGuLm5MXjw4DypmBBCaJOO9fJoTKMgsGHDhiyXPXnyBFNTU61VSAgh8oK0BNTTaGC4WrVqPH/+PFP6gwcPaNu2rdYrJYQQ2qavp6fxS5dk2RLYvXs3R44cASAtLQ0fHx8KFSqkkicyMhITE5O8raEQQmiBbh3aNZdlEKhbty5BQUHK2T+RkZEYGPwvu0KhwNTUVJ5FLIQoEPSkO0itLINAqVKlCAoKAqB///74+flhYWHx0SomhBDaJGMC6mnUQtqwYQMnT57k4MGDyrTJkydz+PDhPKuYEEJok55CofFLl2gUBLZs2cLo0aO5f/++Mi0pKYmRI0eye/fuPKucEEJoizxURj2NpogGBgYybdo0evbsqUybN28e9evXZ8WKFXTs2DHPKiiEENpgoGMHd01p1BJ4+PAhDRs2zJTeqFEj7t69q/VKCSGEtklLQD2NgkDp0qU5fvx4pvRTp05hbW2t9UoJIYS2yZiAehp1B/Xt25fZs2dz9+5d6tSpA8CFCxdYv349o0aNytMKCiGENujWoV1zGgeBhIQE1q5dy6pVqwCwtrbGy8uLdu3a5WkFhRBCG3TtDF9TGl9E5+bmxpEjRzh27Bjh4eHMnz+fkydP0rJly7ysnxBCaEVe3TYiKiqKb7/9FhcXFxwdHRk2bBjXr19XLr98+TL9+/enbt26tGjRgsDAQJXPp6amsmTJEpo2bUqdOnUYMmQIERERKnm0UUZWcrS1r169YseOHfTq1YtBgwZx8OBBunXrlpMihBAiX+TFmEBaWhpfffUVjx49IjAwkK1bt2JsbMygQYN4/fo1z58/Z9CgQdjZ2fHrr78yevRolixZwi+//KIsw8/Pj82bN+Pj48PPP/+Mvr4+bm5uJCYmAmiljOxo1B104cIFgoOD2b17N/Hx8SgUCgYMGIC7uzuWlpYa7zAhhMgvedEZ9PTpUypWrMg333yDvb09ACNGjODzzz/n2rVrhIWFYWhoyPTp0zEwMKBixYpERESwcuVKevXqRVJSEqtXr8bLy4vmzZsD6Y/tbdKkCXv27KFr16788ssvuS4jO1m2BBISEti6dSvdu3enZ8+e7N27l7Zt2+Lv74++vj49e/aUACCEKDDyoiVgZWWFr6+vMgA8ffqUwMBArK2tqVKlCuHh4Tg5Oancd83FxYV79+4RFRXF5cuXiYuLU5mCb2ZmRvXq1QkPDwfQShnZybIl0KxZM1JTU2nWrBnu7u60aNECIyMjAHmkpBCiwMnJwT0mJoaYmJhM6RYWFlneQ238+PH89ttvGBkZsWLFCkxNTYmKiqJSpUoq+TKm1T98+JDHjx8DYGNjkylPxsO8tFFGdrIMAsnJyZibm2NsbMybN29ITk5WBgEhhChocnIR2Lp161i2bFmmdA8Pjyynxbu5udG3b182bdrEyJEjCQoKIiEhIdNxM+N9YmIi8fHxKmlv50lKSgLQShnZyTIIhIaGsnfvXrZu3UpISAjGxsY0b96cjh076twVdUKIgk8/B8etgQMHqp30kt2dlCtXrgzArFmzOHfuHBs2bMDY2DjTgTjjvYmJCcbGxsq0tw/iSUlJyme1aKOM7GQZBAoXLky3bt3o1q0bd+7cYevWrfz+++/s27cPhUJBYGAgQ4cOpWLFiu9diRBC5LecdAdl1+3ztsePHxMWFkbnzp2VJ8d6enpUqlSJqKgobG1tld01b38GwNbWVtm1/vjxY8zMzFTyZHQBaaOM7Gg0RbR8+fJ4eXlx+PBhli9fTqtWrdixYwedO3eWB80LIQqEvBgYfvjwIV5eXpw6dUqZ9ubNGy5dukTFihVp0KABp06dIjk5Wbn8+PHjlC9fHisrK6pWrYqZmRknTpxQLo+NjeXSpUs4OzsDaKWMbPeLxltLeoRzdXVl2bJl/PXXX3h5eWWKUEII8SnKixvI1apVCxcXF6ZOnUp4eDjXrl3ju+++4+XLlwwaNIju3bsTHx/PxIkTuXHjBtu2bWPt2rW4u7sD6f32/fr1w9fXlwMHDnDlyhU8PT2xsbFRPr9dG2Vku1/S8nmqj6JNmfxcvfjEpO2PBOB18qt8ron4lJgamOe6jG8Oj9U475LmCzXOGx0dzYIFCzh48CCvXr3CyckJb29vHBwcgPTrrGbNmsXFixexsrJi0KBBDBgwQPn5lJQUfH19CQkJIT4+nvr16zNt2jTKli2rzKONMrIiQUB8UiQICHW0EQRG/+Wlcd7FzRbken0FhUZXDAshREFnkMN7AumKfA8CGWd+QrxNG2d+QrxNprarl+9BQAghPgY9eaKAWvkeBBJS4vK7CuITYqyffnGL/C7E2zJ+F7khLQH18j0ICCHExyAPlVFPgoAQQifoKWRgWB0JAkIInSAtAfUkCAghdIIiZzdI0BkSBIQQOkFaAupJEBBC6ASZHaSeBAEhhE5QyHUCakkQEELoBH25bYRaEgSEEDpBTwaG1ZIgIITQCTImoJ4EASGETpAgoJ4EASGETpAbyKknQUAIoROkJaCeBAEhhE7Ql3sHqSVBQAihE+QGcupJEBBC6ATpDlJPgoAQQifIFcPqSRAQQugEuYGcehIEhBA6QQaG1ZMgIITQCQoJAmpJEBBC6AQZE1BPgoAQQifImIB6EgSEEDpBpoiqJ51kQgidoIdC41dOxMbGMnv2bFxdXXF0dOSLL77gzz//VC6PjIzE3d2devXq0ahRI+bPn09ycrJKGUFBQbRq1YratWvTu3dvzp8/r7JcG2VkvV+EEEIH6Onpa/zKiQkTJnDo0CF8fHzYtm0bbdu2xcPDg2PHjpGUlISbmxsKhYLg4GBmzpzJ1q1bWbp0qfLzISEhzJ8/nzFjxhASEoK9vT1Dhw7l2bNnAFopIzuKtLS0tBxtsZYlpMTl5+rFJ8ZY3wSQ34VQlfG7yI0N1wI1ztu/iptG+Z48eUKTJk3w9/enRYsWyvSBAwdSokQJWrRowYQJEwgNDaVIkSIAbNmyhdmzZ3Ps2DGMjY1p164drVq1wtvbG4CUlBTatGlD9+7dGTlyJDt27Mh1GdmRloAQQicoFAqNX5oqXLgwq1atwsnJKdO6oqOjCQ8Pp1q1asqDN4CLiwtxcXFcvHiRp0+fcufOHVxcXJTL9fX1qV+/PuHh4QBaKSM7MjAshNAJOZkiGhMTQ0xMTKZ0CwsLLCwslO/NzMxo1qyZSp6zZ89y/PhxJk+ezNGjR7G1tVVZbm1tDcCjR48wNjYGUJvnwoULAERFReW6jOxIEBBC6IScnOGvW7eOZcuWZUr38PBg1KhRWX7u5s2beHh4UKdOHXr37s2BAwcwNTVVyWNkZARAYmIi8fHxKmlv50lKSgIgISEh12VkR4KAEEIn5GTWz8CBA+nWrVum9LdbAe86efIkHh4elCpVCn9/fwwNDTE2Ns50IM54b2JiojyLV5fHxCR9HEQbZWRHxgSEEDpBT6Gv8cvCwoIyZcpkemUVBLZv387gwYOpUaMGGzZsoGjRokB6F83jx49V8ma8t7W1pVSpUippb+exsbHRWhnZ7pf35hBCiH+BvBgYBtixYwfe3t506NABf39/zMzMlMsaNGjA5cuXVcYXwsLCMDU1pXr16lhaWmJvb8+JEyeUy1NSUjh16hTOzs5aKyM7+tOnT5+eoy3WsuS0N/m5evGJMdAzBOR3IVRl/C5y4/KLf1Bo+K96sVoalfno0SPc3NyoX78+06dPJzExkbi4OOLi4njz5g0ODg5s376d48eP4+DgwPnz5/Hx8WHAgAE0atQISO+7X7p0KTY2NhgaGrJw4UKuXbvG7NmzKVy4MHZ2drkuIzsyJiCE0Al5cduIP/74g/j4eI4fP07Tpk1VltWrV4/NmzcTEBDAjBkz6NWrFxYWFvTu3Vtl7n6vXr2IjY1l8eLFvHz5kho1arB69WosLS0BKFSoUK7LyI5cLCY+KXKxmFBHGxeL/XY7WOO83ez75Hp9BYW0BIQQOkFPkbPbQegKCQJCCJ0gdxFVT4KAEEInyENl1JMgIITQCfJQGfUkCAghdIK0BNSTICCE0AkyJqCeBAEhhE6Q2UHqSRAQQuiEnD42UldIEBBC6ATpDlJPgoAQQifIwLB6chfRfBT3Oo7ZPnNp2bQVnzk15uuvRnD1ytX8rpb4iFJSUlgTuJbO7f6PhvUb0bd3f8KO/+9ukM+ePWeC9ySaNGxGk4bNGDvGi/v3H+RjjQuuvLqLaEEnQSAffTvGi+2/bWfQ4IEsXLyAEiWKM7i/G3du38nvqomPZO3qdSxdtIyuX3zOoqU/UrZcGUYMG8nlS1d4k/SGYUPcORb6N2O+Hc0P8+eQEJ/AwL6DePnyZX5XvcDRV+hr/NIlcgO5fHLp4iW+7NmXydMm0bN3D2X6gP8MxMbGhvm+8/KxdvlH124g17XzF9SoWZ1Zc32A9JZBxzadae7aHGdnJ8aOGcfylX40bpJ+y+CkpCQ+79iVtu3b4uk1Jj+r/lFp4wZyfz3cr3HeZiXb5Hp9BYW0BPJJxJ0IABr9/z/uDHUd6/J36LH8qJLIB0lJSZi+9RASfX19zMzNiImOJuJOBPr6+rg0/N+DQYyMjKhRswahR//Oj+oWaNIdpJ4EgXxiY2sLwKOHD1XS79+/T2xsLNEvo/OjWuIj6/1lL3Zt30XYsTBevXpF0IZN3Lxxk/Yd2mFja0tKSgpPHj9R+cz9+/d5IOMCOabpA2V0bQBZZgflk5q1amBX3o5ZM+Ywc/b3lC1Xjn179nH0r1AA4uPjKVK0SD7XUuS1Xn16cjLsJMPcvlameXwzkhauLXjx4gXFihVl0vjJTJ42CcvilmzeGMyN6zdJTk7Ov0oXULp2hq+pLMcEmjdvrvFOO3To0AdXQFf6ftW5cf0mE7wncO3qdQDq1K3NZ40+46fl/hz++6DyYdW6RJfGBNLS0hjc341bN2/hMXoE9hUqEHYsjDWBaxk33os+/+nN6VNnmDR+svLMv1mLZpQqVZLt23ZwLDw0n7fg49HGmMCxqEMa5/3MpkWu11dQZNkS8Pb2ZuLEiVSoUIFWrVp9zDrpjEqVK7Llt1949PARySkplClTmp/8/NHT01N5WLX4dzpz+ixnTp9h/o/zaNs+fSCygbMTySnJ+C5cxP993oV69R3Z/cdO7kfex9DICBsba6ZMnEaRIhb5XPuCR08hvd/qZBkEOnXqRKFChfD09GTOnDlUrVr1Y9brXy8+Pp4D+//EpaEztiVtlenXrl2jUuWKGBhIT92/XdSjRwDUrqP6UHPHeo6sCVjLlStXuXf3Hm3atqZM2TLK5devXcehqsNHreu/gXQHqZdtaGzdujWdOnXC19f3Y9VHZxgYGODz/Sz27t6nTIuMvM/Rv0Jp3qJ5PtZMfCx25e0AOHPmrEr6hfMXMDAwoEzZ0kydNI2///7fbLFzZ89x+dJlmrds9lHr+m8gA8Pqvfd0c/LkyURGRn6MuugUQ0NDvujejQD/QCwtLTEzM2XRj0soVqwY/Qb2ze/qiY+geo3qNG3elNkz5hATHYN9BXvCT4SzJmAt/+n3JdbW1rRo2ZyF835EoVDw5s0b5s9ZgINDFbr8X5f8rn6Bo2sHd03JxWL5KCEhgSW+S9m35w8SkxJxdmnAt16eKk1/XaNLA8OQ/htYttiPvXv2ERMdQzm7cvTq05OevXugUCiIfhnNvLnzOXL4KHp6Cpo2b4an12gsLS3zu+oflTYGhsOfan5thVOJRu/P9C8hQUB8UnQtCAjNaCMInHqq+UWY9Ut8luv1FRQy+iiE0AkyO0g9CQJCCJ0gYwLqSRAQQugEmSKqngQBIYROkJaAelkGgb59NZ+mGBQUpJXKCCFEXvkYQcDf359Dhw6xefNmZVpkZCQzZ87k5MmTGBsb061bNzw9PVUuCA0KCmL16tU8efKEatWqMWnSJGrXrq3VMrKSZRAoV65cjneAEEJ8qvJ6YDgoKAhfX18cHR2VaUlJSbi5uWFvb09wcDD37t1j4sSJGBgY4OnpCUBISAjz589n5syZVKtWjYCAAIYOHcqePXsoXry4VsrIjkwRFZ8UmSIq1NHGFNFLL8++P9P/V71oXY3zRkVFMW3aNMLCwrC1taVo0aLKlsCOHTuYMGECoaGhFCmSflfgLVu2MHv2bI4dO4axsTHt2rWjVatWeHt7A+kPFmrTpg3du3dn5MiRWikjOxqPCTx9+pRbt26RkpKiTEtKSuLcuXN88803Gu8wIYTID3nVHXTx4kVMTU3Zvn07fn5+REREKJeFh4dTrVo15cEbwMXFhbi4OC5evIidnR137tzBxcVFuVxfX5/69esTHh6utTKyo1EQ2LZtG1OmTOHNmzcoFArS0tKUI+2lS5eWICCE+OTlJAjExMQQExOTKd3CwgILC9U7uLq6uuLq6qq2nKioKGxtbVXSrK2tAXj06BHGxsYAavNcuHBBa2VkR6NOspUrV9K5c2f27t2Lubk5v/76K35+flhbWzNq1ChNihBCiHyVk8dLrlu3jlatWmV6rVu3LkfrTEhIwMjISCUt431iYiLx8fEqaW/nSUpK0loZ2dGoJXDv3j2WLl1K+fLlcXBw4Pnz57i6upKcnMxPP/3E559/rkkxQgiRb3LSEhg4cCDdunXLlP5uK+B9jI2NMx2IM96bmJgoz+LV5TExMdFaGdnRqCVgZGSkjDJ2dnZcvXoVgJo1a6r0fwkhxKdKT6Gn8cvCwoIyZcpkeuU0CNja2vL48WOVtIz3tra2lCpVSiXt7Tw2NjZaKyM7GgWBmjVrEhwcDEDlypUJDU1/rN3169cxNDTUpAghhMhnihy8tKNBgwZcvnxZZXwhLCwMU1NTqlevjqWlJfb29pw4cUK5PCUlhVOnTuHs7Ky1MrKjURAYNWoUQUFBBAYG0qVLFy5evEi7du0YM2YMrVu31qQIIYTIVzkZE9CW1q1bY2Njg6enJ1euXOG///0vCxcuZPDgwcrelSFDhrBu3TpCQkK4ceMGkydP5vXr1/Ts2VNrZWRHozEBJycn9u3bR1JSEpaWlmzatIng4GBKlixJ//79P3T/CCHER5Mft40oVKgQAQEBzJgxg169emFhYUHv3r1V5u736tWL2NhYFi9ezMuXL6lRowarV69WPjNCG2VkRy4WE58UuVhMqKONi8Vuv7qmcV578yq5Xl9BoVFLYMCAAdkuX79+vVYqI4QQeUXuIqqeRkHg3RHm5ORkIiIiuHXr1nsDhBBCfAr0NBsC1TkaBYH58+erTff19VV7VZ0QQnxqpCWgXq5CY48ePdi1a5e26iKEEHlGkYN/uiRXD5W5ceMG+TyuLIQQGpGWgHoaBYGM25O+LTY2lmPHjtG+fXutV0oIIbRN187wNaVREHj48KHKe4VCgaGhIW5ubgwePDhPKiaEENokQUC9XF8n8OTJE6ysrD748zIfXLxNrhMQ6mjjOoFH8fc0zmtbuGyu11dQaDQwXK1aNZ4/f54p/cGDB7Rt21brlRJCCO37+PcOKgiy7A7avXs3R44cASAtLQ0fHx8KFSqkkicyMlKjW5UKIUR+061Du+ayDAJ169YlKChIOfsnMjJS5cn2CoUCU1NT5syZk/e1FEKIXJMwoI5GYwL9+/fHz88vx/fS1oT0/Yq3yZiAUEcbYwKPEx5onNfauFSu11dQaDQmsGHDBk6ePMnBgweVaZMnT+bw4cN5VjEhhNAmuVhMPY2CwJYtWxg9ejT3799XpiUlJTFy5Eh2796dZ5UTQghtkSCgnkbdQe3bt8fNzS3TAwp+/vlnNm7cyI4dOz64AtLsF2+T7iCh0seWCAAACHVJREFUjja6g54mPNI4bwlj21yvr6DQqCXw8OFDGjZsmCm9UaNG3L17V+uVEkIIbcuPJ4sVBBoFgdKlS3P8+PFM6adOncLa2lrrlRJCCPFxaHTbiL59+zJ79mzu3r1LnTp1ALhw4QLr169n1KhReVpBIYTQBl3r69eUxreNCAwMZO3atTx58gQAa2tr3N3dadeuHSVKlPjgCkjfr3ibjAkIdbQxJvAi8YnGeYsV+vBb4RQ0Ob530IsXLzA0NOTixYts3ryZP//8kwsXLnxwBeSPXbxNgoBQRxtB4GXSU43zFjX68BPbgiZHzxN49eoVO3bsIDg4mNu3b2NkZES3bt3yqm5CCKFF0h2kjkZB4MKFCwQHB7N7927i4+NRKBQMGDAAd3d3LC0t87qOQgiRaxIC1MsyCCQkJLBz5042b97MxYsXMTU1pW3btnTs2JGRI0fSs2dPCQBCiAJEwoA6WQaBZs2akZqaSrNmzXB3d6dFixYYGRkByCMlhRAFjq7N/9dUltcJJCcnY2pqirGxMW/evCE5Oflj1ksIIbRKbhuhXpYtgdDQUPbu3cvWrVsJCQnB2NiY5s2b07FjR4moQogCSI5b6mg0RfTOnTts3bqV33//nSdPnqBQKOjatStDhw6lYsWKuaqATAUUb5MpokIdbUwRjX0TrXFeM8MiuV5fQZGj6wRSU1M5dOgQISEhHDp0iJSUFBo2bMiaNWs+uALyxy7eJkFAqKONIPA6OUbjvKYG2n92yqfqgx80//z5c3777TdCQkLYtWvXB1dA/tjF2yQICHW0EwReaZzX1MA81+srKD44CGiL/LGLt0kQEOpoIwjEJcdqnNfEwCzX6ysocnTFsBBCFFQyoUW9fA8C2ojw4t9HfhdCfBz53h0khBAi/2j0UBkhhBD/ThIEhBBCh0kQEEIIHSZBQAghdJgEASGE0GESBIQQQodJEBBCCB0mQUAIIXSYBAEhhNBhEgTe4erqioODg/JVrVo1nJycGDRoEKdPn9b6+iIiInBwcCAsLAyA8ePH8+WXX2r02bS0NH777TeePXuWZZ7U1FSWLFlC06ZNqVOnDkOGDCEiIkIrddcl/7bfxdv8/f01Llv8+0gQUGPgwIEcPXqUo0ePcvjwYTZt2oSxsTFDhgzhwYMHebruSZMmsWLFCo3yHj9+nPHjxxMfH59lHj8/PzZv3oyPjw8///wz+vr6uLm5kZiYqK0q64x/0+8iQ1BQEL6+vrmtnijAJAioUbhwYaysrLCyssLa2poqVarw/fffEx8fz/79+/N03ebm5hQtWlSjvO+77VNSUhKrV6/Gw8OD5s2bU7VqVXx9fXn69Cl79uzRRnV1yr/ldwEQFRXF119/zYIFC7C3t89t9UQBJkFAQwYG6TdcLVSoEJDePTB37lw6d+6Ms7Mzf/31FwBbt26lQ4cO1KpVi/bt27Ny5UqSk5OV5Vy7do0BAwZQt25d2rZty4kTJ1TW826z/969e4waNQonJyecnZ0ZNWoUjx49IiwsjMGDBwPQqlUrli5dmqnOly9fJi4ujoYNGyrTzMzMqF69OuHh4VraM7qtIP4uAC5evIipqSnbt2+nTp062tshosDJ91tJFwRRUVHMnTsXExMT/l979xKS2hbHcfzrAaXX6SmJQRkZYZOoQY2ioEGDwqHQa2ATa1RZlIE9BhLRoDIoapAE0gNsGA2CoHnToESihw0iB4EYDTZSdxB5jfTe7j0d6LT/HxB0uddy78Va/nAvYTU1NSXKNzc3WVlZQa/XU1FRwfb2Nl6vl8nJSWprawmFQng8Hm5ubvB4PMRiMex2OzU1NQQCASKRCBMTE2k/NxaL0d3djdlsZmNjA61Wi8fjob+/n0AggNfrZWhoiN3d3ZR7Pd/d3QFgMBjelBcXF3N7e/tJvaNef+q4gJewamlp+fQ+EX8eCYEUfD4ffr8fgHg8jqIoVFRU4PV6KSkpSRzX2NhIc3Nz4vXa2hp9fX1YrVYASktLURSF4eFhhoeHOTg44PHxkbm5OfLy8qiqqmJ8fJzBwcGU57G/v080GmVhYYGCggIAZmZmCAQCKIpCXt7LZtiFhYVkZ2e/q/96T1in070p1+l0KIryf7tHtb7LuBAimYRACjabDbvdDsCPHz/Iz8/n58/3e46aTKbE8/v7e+7u7lhaWmJ5eTlR/vT0xNPTE1dXV4RCIUpLSxOTFKCuri7teYRCIcrKyhITHaC8vJyxsbEPXUdGRgbwsjaQHASKopCVJZu2/FffZVwIkUxCIIXc3Nw3Ezmd1y9ZeJnUAC6Xi8bGxnfHGgwG9vb23pVrtdq07f/Tex9hNBoBiEQi5OT8vWdqJBKhsrLyl9pWo+8yLoRIJgvDn6SoqIiioiLC4TAmkynxuLi4YH5+nng8TnV1NdfX19zf3yfqnZycpG3TbDYTDoeJRqOJssvLS+rr6zk/P//XPVMtFgs5OTlvFhkfHh44PT2loaHhF65WfNRXHBdCJJMQ+CQajQaHw8HW1hZ+v59wOMzR0RFutxt4+VdOe3s7er2ekZERgsEgx8fHzM7Opm3TarVSUFDA6OgoZ2dnnJ6e4na7MZlMmM3mxP3es7MzYrHYu/o6nY6enh4WFxc5PDwkGAzidDoxGAy0trb+no4Qb3zFcSFEMgmBT2S325mYmGBnZ4e2tjamp6exWq3Mzc0BkJWVhd/vR6vV0tHRgcvlwuFwpG0vMzMTn88HQFdXF729vRiNRlZXV9FoNFgsFlpaWnA6nSwtLaVsY2BgAJvNxtTUFJ2dnTw/P7O+vv5usVj8Pl9xXAjxSjaaF0IIFZNfAkIIoWISAkIIoWISAkIIoWISAkIIoWISAkIIoWISAkIIoWISAkIIoWISAkIIoWISAkIIoWJ/AYdLDmmy64DJAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5381,6 +5519,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9850019039675382\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5395,7 +5534,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5407,18 +5546,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9725877987443504\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9777287865314298, 'sensitivity': 0.9025714285714285, 'specificity': 0.9778590647697097, 'precision': 0.06601445146172352, 'f1': 0.12301901138720266, 'auc': 0.9402152466705692, 'actual_accuracy': 0.9150406504065041}\n"
+      "{'accuracy': 0.9777287865314298, 'sensitivity': 0.9025714285714285, 'specificity': 0.9778590647697097, 'precision': 0.06601445146172352, 'f1': 0.12301901138720266, 'auc': 0.9793058999306246, 'pr_auc': 0.7418270935959361, 'actual_accuracy': 0.9150406504065041}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -5432,7 +5572,79 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'accuracy': [0.9781078281631291,\n",
+       "  0.9768789171538421,\n",
+       "  0.9793542950439774,\n",
+       "  0.9778269342181493,\n",
+       "  0.9764759580780507],\n",
+       " 'actual_accuracy': [0.9166666666666666,\n",
+       "  0.9166666666666666,\n",
+       "  0.9146341463414634,\n",
+       "  0.9126016260162602,\n",
+       "  0.9146341463414634],\n",
+       " 'sensitivity': [0.9387755102040817,\n",
+       "  0.8979591836734694,\n",
+       "  0.8979591836734694,\n",
+       "  0.9081632653061225,\n",
+       "  0.87],\n",
+       " 'specificity': [0.978175615074829,\n",
+       "  0.9770149306227248,\n",
+       "  0.9794945746794929,\n",
+       "  0.9779469954100206,\n",
+       "  0.9766632080614811],\n",
+       " 'precision': [0.0690172543135784,\n",
+       "  0.06308243727598567,\n",
+       "  0.07017543859649122,\n",
+       "  0.06626954579300075,\n",
+       "  0.06152758132956153],\n",
+       " 'f1': [0.12858141160027953,\n",
+       "  0.11788345612860014,\n",
+       "  0.1301775147928994,\n",
+       "  0.12352532963219987,\n",
+       "  0.11492734478203435],\n",
+       " 'auc': [0.9913671850746173,\n",
+       "  0.9795140450355617,\n",
+       "  0.9680585668310551,\n",
+       "  0.9850019039675382,\n",
+       "  0.9725877987443504],\n",
+       " 'pr_auc': [0.7176976170698623,\n",
+       "  0.8040396423407833,\n",
+       "  0.7422466107418105,\n",
+       "  0.7128290840528959,\n",
+       "  0.7323225137743286],\n",
+       " 'final': {'accuracy': 0.9777287865314298,\n",
+       "  'sensitivity': 0.9025714285714285,\n",
+       "  'specificity': 0.9778590647697097,\n",
+       "  'precision': 0.06601445146172352,\n",
+       "  'f1': 0.12301901138720266,\n",
+       "  'auc': 0.9793058999306246,\n",
+       "  'pr_auc': 0.7418270935959361,\n",
+       "  'actual_accuracy': 0.9150406504065041},\n",
+       " 'model': LogisticRegression(C=0.8, class_weight=None, dual=False, fit_intercept=True,\n",
+       "                    intercept_scaling=1, l1_ratio=None, max_iter=300,\n",
+       "                    multi_class='warn', n_jobs=None, penalty='l2',\n",
+       "                    random_state=None, solver='liblinear', tol=0.0001, verbose=0,\n",
+       "                    warm_start=False)}"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -5443,11 +5655,12 @@
        " 'specificity': 0.9778590647697097,\n",
        " 'precision': 0.06601445146172352,\n",
        " 'f1': 0.12301901138720266,\n",
-       " 'auc': 0.9402152466705692,\n",
+       " 'auc': 0.9793058999306246,\n",
+       " 'pr_auc': 0.7418270935959361,\n",
        " 'actual_accuracy': 0.9150406504065041}"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5465,8 +5678,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
+   "execution_count": 42,
+   "metadata": {
+    "scrolled": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -5479,13 +5694,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55585  1278]\n",
+      "[[55559  1304]\n",
       " [    6    92]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5497,6 +5712,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9906872479396416\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5507,13 +5723,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55404  1459]\n",
+      "[[55400  1463]\n",
       " [    9    89]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5525,6 +5741,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9768069477408465\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5535,13 +5752,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55653  1210]\n",
+      "[[55673  1190]\n",
       " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAekAAAERCAYAAABfD1/jAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd3xN9//A8dfNko2QURSxYoYgiS2JUfPb2tSKUaFipEJRq8So0dgaRChBUbVqlNYmiZipqr2iSK1EZI/fH/nlfnPdxE0qyaHf99PjPh7yOZ/zuZ977rnnfT7jnKNKT09PRwghhBDvHD2lKyCEEEKI7EmQFkIIId5REqSFEEKId5QEaSGEEOIdJUFaCCGEeEdJkP4XkAn6hUe29f8u+e6FEnIdpC9fvsz48ePx8PDA0dERDw8Pxo8fz61btwqscmFhYbRv356aNWvSrl27fCt3yZIlODg4kJKSkm9l5mT79u04ODjg4ODAn3/+mW2ea9euqfNERkbmqfytW7cya9Ysnfk8PDzw9fXNU9mvK6jvI1Pfvn3p1atXvpebncjISBwcHNi6dWuu1/n11181tmHmd3v37t1/XI+s+0fWV61atXB3d2fSpEk8e/bsH5f/LnNwcMDf31/pamTr9d/L67+ztzmGxMfHs2zZMjp06ICjoyN169alW7dubNiwQaO8zH3UwcGB77//PtuyUlNTadSoEQ4ODmzfvl1jWXJyMhs3bqRnz57Uq1cPJycnOnbsyLJly4iOjtbIm90++PpryZIlQMbv9E35PDw8dG6DHTt28Omnn1KvXj0cHR1p06YN8+bN4/nz53ndnAXq9eNEaGgoDg4OnDp1qtDqYJCbTJs3b2bGjBnUrVuXESNGYGtry/3791m3bh1dunRh9erV1KtXL98rN2fOHPUOXaxYsXwrt0uXLjRs2BADg1x9/Hyhp6fHvn37qFq1qtayPXv2/ONyV6xYQd26dXXmW7RoEebm5v/4faDgvg8l2NjYEBwcTPny5XO9ztq1azUOos2bNyc4OBg7O7u3ro+/vz82Njbqv1+9esW5c+cIDAzkxo0bbN68+a3f410THBxMqVKllK5Gtl7/veT2d6ZLeno6Q4cO5fr16wwaNIgqVaqQlJREWFgYc+bMITw8nIULF2qso6enx969e+nXr59WeadPn+bp06da6bGxsXh5eXHp0iW6d+/OkCFDMDAwICIiguDgYH788UcCAgKoXLkykPFdZNW7d28++eQTunXrpk7L+l1VqVKFqVOnZvsZixQp8sZtsHTpUlasWEG/fv0YNGgQRYoU4c8//yQwMJBDhw6xbds2LCws3liGUqpXr05wcDAODg6F9p46o9SFCxeYPn06PXv2ZMqUKRrL2rZtS9euXRk3bhy//PIL+vr6+Vq5Fy9e4OTkRPPmzfO13FKlShX6waFevXrs378fHx8frWU///wz1atX548//iiw969Vq9Zbl1FQ34cSjIyMqF+//luVUaJECUqUKJEv9alRowblypXTSGvevDmpqamsWrWKGzduUKlSpXx5r3fF227/gpQfv5fsnD17lpCQEFauXKnxO2rRogXFixfH39+fwYMHU7NmTfWyevXqER4ezqNHj7ROCHM6dkyaNIk//viDTZs2aZTVrFkzunbtSu/evRkxYgQ7duzA2Ng42+/Czs4ux+/I3Nz8H31/SUlJrFq1iv79+zNu3Dh1epMmTahbty69evVi69atDBw4MM9lFwYLC4tC3291dnevXr0aCwsLxo4dq7XM0tKS8ePH06FDB2JiYtTpe/fupUuXLjg5OdGoUSMmT56s0Y2xZMkSWrVqxYkTJ+jUqRO1atXCw8ODtWvXAv/tYnjw4AF79uxRd+Xk1L3Yq1cv+vbtq/77ypUrDBw4EGdnZ+rUqcOnn37KyZMnNd7/9a6qt62zLm3btuXOnTtaP6YLFy7w6NEj2rRpo7XOoUOH6N27N05OTtSsWZM2bdqwfv169fLMbbR79271mV1mPVeuXImrqyuNGjXi0aNHGt13c+bMwcHBQWObHDp0CAcHh2w/T07fB8CdO3cYOXIkTZo0oXbt2vTp04czZ85orfv999/TsWNHateunWPXXW6dOnWK3r17U69ePVxcXPDx8eHBgwcaec6fP0/v3r2pU6cO7u7ubNiwAU9PT8aPH69Rr8xurPT0dJYuXUqrVq2oWbMmzZs3x8/Pj7i4OCCj+zMsLIxz586phyWy2x9PnDih/s4aN27MhAkT3qq72tLSUivt0aNHjBkzBldXV/U2v3Dhgkae2NhYpkyZQsOGDXFycmLMmDF8//33Gi2Avn37Mm7cOMaMGYOTkxM9evQAMg6k8+fPx83NjZo1a9K+fXt++uknjfLv37+Pt7c3DRo0wNHRkU6dOmn0COnanqDd3R0VFcXEiRNxc3PD0dGRzp07c+jQIY33dXBwYNOmTUybNk39+T/77DPu3buX7fZLS0ujQYMGfP311xppzs7OdOzYUSPvkCFDGDRoEKDZ3Z3d7yzTyZMn6dy5c66PB0+ePMlxWefOnfniiy+0erxatGiBkZER+/fv10hPSkri4MGDtG/fXiP9xo0b7Nu3jyFDhmgE6Ey2trZMnjyZ27dvv1Uv3j8RGxtLQkJCtsvq1q3L2LFjqV69ujrt2bNnfP3117i7u1OzZk1cXFwYPnw49+/fV+cZP348np6ebNu2jVatWuHo6EjPnj25desWJ06c4JNPPsHR0ZGOHTty+vRp9XpLliyhWbNmHD16lDZt2lC7dm26du2qked1r3d35zYuREVF4ePjg4uLCy4uLnz99df4+/vnamjgjUE6PT2d48eP07BhQ0xMTLLN4+HhgY+PD8WLFwdg+fLl+Pj4UL16dfz9/Rk2bBgHDhygX79+xMfHq9d78uQJX331FV27dmXFihXUqFGD2bNnc/LkSXVXpLW1NU2aNCE4ODjXrbfY2FgGDBhAkSJFmDdvHgsXLsTQ0BAvLy+NLzar/KizLg0bNsTKyop9+/ZppO/Zs0e9LKsjR44wfPhwKleuzJIlS1i4cCGlS5fGz8+P8PBwAK1tlOnhw4fs2LGDuXPn4uvrq3X27ePjQ8WKFZkyZQrx8fE8ffqUyZMn06RJE/r3769V95y+jxs3btC5c2fu3LnDl19+ydy5cwHw9PTU2tHnzZtHz549+eabb96qJb5z504GDBiAlZUVc+fOZdy4cZw/f54ePXrw999/A3Dz5k08PT1JTU1l7ty5DBs2jOXLl3Pu3Lkcyw0ICCAoKIgBAwawatUqBgwYwJYtW9TjkIsWLaJatWpUqVKF4OBgja7pTMeOHeOzzz7DxMSEuXPnMnbsWE6cOMGwYcN0fq7U1FRSUlLUr+fPn7N//34CAwNxdHSkQoUKADx//pyePXty/vx5xo0bx/z589HX16dfv378/vvv6vKGDx/Ozz//zLBhw5g/fz4vXrxg/vz5Wu+7d+9eEhMTWbJkCV5eXgCMGDGCDRs20KtXL5YtW0b9+vUZP368eh9LS0tjyJAhPH36FD8/P5YtW0bZsmUZM2aMet/UtT1f9+TJE7p27UpISAje3t74+/tTqlQphg8frnWC4O/vz4sXL/jmm2+YNGkSFy5c0GiVZaWnp0fTpk01xhB///13YmJiuH79uvoEKjExkbCwsGwPmjn9zgAmTpxIt27dWLZsGQ4ODsyePZujR49mWxcAFxcXzM3NGTNmDHPnziUsLEwdtGxsbPDy8tIagjE3N6dZs2Zax47M93n993Ts2DEgI7jnpEmTJhQtWpRff/01xzy6ZN1fs77eNMHOysoKJycngoKCGDduHIcOHdJoDA0ePJgGDRoAGfHHy8uLo0ePMmrUKFatWsWwYcM4deoUkydP1ig3IiKCNWvW8MUXX+Dn58eNGzcYOnQoU6ZMoU+fPsybN4/k5GRGjx6tcaIYHR3N2LFj6d69OwsWLMDY2JjPPvuMiIiIXG8HXXEhKSmJ/v37Ex4ezrhx45gxYwYREREEBQXlqvw3dnc/f/6chIQEypQpk6vCoqOjWbFiBZ07d2bGjBnqdAcHB/r27cvWrVvV4ypxcXEsXLhQvYPVq1ePw4cP89tvv9G4cWPq16+PkZERxYsXz1P3ws2bN3n+/DmfffaZegzJ0dGRgICAbM/g8rPOb6Kvr89HH33E/v37GTNmDJBxYN6/fz++vr4kJydr5L927Rrt27dn2rRp6rR69erRoEEDwsLCqF+/fo7bKDk5mS+//DLHYFikSBG++eYbevbsyfLly7l9+zbp6enMmTMHlUqllT+za/j195oxYwYGBgZs2LBB3eLz8PCgQ4cOzJ07V+Pg2qJFC3r37v3GbaRLWloa8+bNw9XVVT2JBcDZ2Zn27duzevVqJkyYQEBAAGZmZqxZswZTU1MAKlWq9MZJaeHh4dSuXZtPP/0UyDipsrCw4NWrV0BG96eFhQUpKSk57o9LliyhYsWKrFy5Ej29jPPf4sWLM336dG7fvo29vX2O79+2bVuttGLFitGiRQt8fX3V5a1du5YnT56wZ88e9cHczc2NTz75BH9/fwIDAzl9+jQhISEsXLhQXa6bmxsdO3bk5s2bGu+R+b1ntt5OnTrFkSNH+Oabb/jkk0+AjCCQlpbGwoUL6dKlC7Gxsdy6dYv58+fTsmVLABo0aICtra16/9G1PV8XFBTEs2fP+Pnnn9Xd/i1atKBfv37MnTuXjh07queQlC1bVmPc9sGDB6xYsYLnz5+rGwtZubu7s2vXLh48eEDp0qU5ffo0VatW5ebNm4SFhdGmTRvCwsKIj4/H3d1da/03HYumT5+uDoZ169bFxcWF06dP5/jbs7KyYtWqVUyYMIHAwEACAwMxNDTE0dGRjz76iJ49e2Y7ptuuXTu++OIL/vrrL/VQ3e7du2nVqhVGRkYaeTMnn3744YfZ1gEyjkdlypTR6oHKrXPnzlGjRo1sl02ePJk+ffrkuO6iRYuYMGECO3fuZOfOnahUKipVqoSbmxv9+vVTnwBHRUVhZGTEzJkzadiwIZCxH0VGRrJp0yaNMmNjYwkODlbP+QkPD+eHH37QGFZIS0tj9OjR3Lp1S93DkJCQwNSpU+ncuTOQcfLSokULVq5cqXGMeRNdcWHXrl3cunWLrVu34ujoCEDjxo3feBKV1RuDdOYYc2pqaq4Ku3DhAklJSVrdSC4uLpQuXZqwsDCNyQ9ZJ5uZmJhQrFgxjbOcf6Jy5cpYW1szbNgw2rVrR5MmTXB1dWXChAmK17ldu3Zs2rSJ33//nZo1axIaGsrLly9p2bKl1lnykCFDgIyd6M6dO9y5c0d9dpeUlKTzvXRNbKhVqxZeXl6sWLGCtLQ0li9fjrW1da4+R6awsDCaNWum0SVraGhIhw4dWLp0KS9fvlSnV6lSJU9lZ+f27dv8/fffjBo1SiO9XLlyODk5ERYWBkBISAjNmjVTB2jIOICWLl06x7IbN27MnDlz6NOnDy1btqRx48Z06dIl13VLSEggIiKCYcOGqQMqZAS43LRWli1bhq2tLSkpKezdu5fg4GD69+/P559/rpEvJCSEKlWqUKZMGfVwjUqlwt3dnbVr15KUlERISAj6+vq0atVKvZ6+vj7t2rXTOvCUKlVKo3s1swfEw8NDYzioZcuWbNmyhUuXLuHs7IyDgwOTJ0/m1KlTNG3alIYNGzJx4kR1/rxuz7CwMGrVqqU1Lv/JJ58wYcIEbty4oT4Avz5J9YMPPgAyZk1nF6SbNm2KgYEBp06dolu3bpw6dYrmzZtjaGhIaGgobdq04ejRo1StWjXPc1VcXFzU/zc3N8fKykpr5vTr6taty/79+7l48SInT57kzJkznDt3jrNnz7JlyxbWr1+v1bPm7u6OiYkJ+/fvZ+DAgcTGxnL06FFWrFihVX5mS1bXxFgDAwOtxkFuVa1aFT8/v2yXvel3Bhnd7WvWrOHOnTucOHGCsLAwQkNDWbVqFZs2bWL16tU4OTlha2ur7rl49OgRd+7c4ebNm5w/f57U1FRSU1PVMcrMzExjUm7msSzrZL/MfSPr0Ky+vr7Gsd/Y2DjXv9ms3hQXQkJCKF26tDpAQ8a+4uHhQWhoqM6y3/gtFi1aFDMzszeebSUmJhITE4O1tbV65yxZsqRWvpIlS2psHMjYIFnp6em99bWIpqambNq0iYCAAA4cOMDGjRsxMjKidevWTJs2TWvWYGHWuX79+tja2rJv3z5q1qzJnj17cHNzy3bW9fPnz/n66685ePAg6enplCtXTn0Wn5v3y+7zvK5Tp04sX76cokWL4uzsnKvPkFV0dHS2gT3zvbMG6byeAGTnxYsXGuW//p5//fUXkDGOld3B+k3bxNPTE3Nzc3788Ufmzp1Lamoq5cqVw9fXl9atW+usW3R0NOnp6bna7tmpXLmyOkA5OTlhZGTEokWLKFKkiHqcFDL2i7t37+bYinn+/DnPnz/H0tJS6yCd3SS31+ub2fWY0/7w+PFjVCoVQUFBBAQEcPDgQbZv346+vj5Nmzbl66+/xs7OLs/bMzo6OtsrH7Lbl7L7DUJGSyk7FhYW1K1bl1OnTvGf//yH8+fPM2TIEFJSUtRdxsePH8+2N0OX14cBc3s8UKlU1KlThzp16gAZs/mDgoJYsmQJq1at4ssvv9R6H3d3d/bt28fAgQM5dOgQFhYWuLq6al22mdnzGRkZ+cbem/v371O7du1cfc7XmZqavvXkuvLly1O+fHn69OlDamoqv/zyC1999RUzZsxQz3nZs2cP3377LQ8ePKBYsWJUr15d/f1n3c5mZmbZvkfW7ye7XkIrKysMDQ010kqUKKF13NflTXEhpx6e3E461TlxrEmTJoSGhuY42L9v3z6aNGnC0aNHKVq0KJD95IioqKhsK5oXmRv59ZZ9bGysxt8ffvghfn5+nDx5kh07duDp6cm+ffuyvSazoOuclZ6eHm3atGH//v3qSR8dOnTINu+YMWM4f/48QUFBXLhwgX379mm0VN5Weno6U6ZMUbdCpk+fnucyihYtqh4HzioqKgog3y/TyixP13dlZ2eX7WUp2aVlUqlUdOvWjc2bNxMSEoK/vz+mpqb4+PioP8+bmJubo1KptCaJpaamcuTIkTe+d3ZGjRpFxYoV8ff359q1a+p0CwsL6tWrx7Zt27J9FS9eHFtbW6Kjo7VaSbmpg4WFBcbGxjmW36RJEyDjADNx4kQOHz7Mvn37GD16NKGhoerLcvK6PXXtS2/7O3R3d+f06dOcO3eOtLQ06tatS4MGDbhx4wbnz5/nzp07uZrE87ZGjhyZ7bCLmZkZ3t7eVKlShRs3bmS7brt27bh06RKRkZHs3buXNm3aZHtFTWY36uu9c1mFhITw7NmzXHe55pe1a9fi7OysdczW19enbdu2dOrUST0kEx4eztixY2nZsiXHjh0jNDSUoKAg9YlNVtkF4Nx48eKF1sndkydP8u2qDcjoOcjr8SgrnUF64MCBREdHZzvp5MWLFyxbtgw7OzsaN25M7dq1MTIyYvfu3Rr5zpw5w8OHD9/6WurMFufDhw/VaX///Te3b99W/71//34aNGhAVFQUKpWKatWqMWbMGCpUqJBtj0BB1/l17dq1IzIykpUrV5Kenp7j2NXZs2dp2bIlLi4u6jGnzLP+rGeQWbtW8yI4OJhTp04xY8YMxo4dy+7duzlw4ECeynB2dubYsWMaZ52Z3bXVq1fX6G7OD/b29lhbW2t9V/fu3ePixYvq78rZ2Znjx49rTPq7fPnyG28U07NnT/WcBEtLS9q1a8fQoUNJSUnh8ePHwJu3tZmZGdWqVePQoUMa309oaCheXl5aY8G6GBkZMW3aNJKTkzXmSri4uHD79m3KlStHrVq11K+9e/eydu1aDA0NcXFxIS0tTWNmdHp6OgcPHtT5vq6uriQkJJCcnKxR/t27d1m4cCHx8fGcP3+eRo0acenSJQAqVKjAkCFDcHV1Vf/GcrM9s3J2diYiIkJrlvauXbuwsrJ6Y4swN9zd3Xn+/DkbNmygdu3amJiYUL9+fQwNDZk3bx7W1tZvbBn+09/Z6+zt7Tl37ly2M4hfvnxJVFRUjkNDzZo1w8LCgq1bt3Lq1CmtIbpM5cuX5+OPP2blypVcvHhRa/mTJ0+YOnUq5cqV05oZXtCqVKlCTEwMa9as0VqWnp7OzZs31Z///PnzpKWlMWzYMGxtbYGM40vmhKycek7yIjk5mSNHjqj/jo+P5+jRo+rJa/nBxcWFhw8fqn8vkDE8ljnBTxed10nXqVOH0aNH4+/vz61bt/j4448pWbIkN27cYN26dTx//pzvv/8eAwMDihUrxpAhQ1i6dCmGhoa0aNGCyMhIFi9ejL29fZ7G+LLTsGFDTE1NmTNnDqNGjSIpKYmAgACNLuy6deuqbxgwePBgihYtyvHjx7l+/TqDBw/WKrOg6/y6OnXqULp0ab777js6duyoNekjk6OjI3v27KFGjRrY2dlx7tw5Vq9ejUql0hgDt7S05OrVq5w+fRpXV9dc1eHu3bvMnz+fTp06qVtGu3fvZurUqdSvXz/XZ5He3t4cO3aMPn36MGTIEIoUKcL69eu5f/8+AQEBuSrjdVFRUdlexlK2bFk8PDz44osvmDBhAiNHjuTjjz8mOjqapUuXYmFhob62cujQoezdu5dBgwYxcOBAYmJiWLx4MXp6ejmecTs7OxMYGEjRokWpX78+T58+ZenSpdjb21OtWjUgY1ufO3eOkydP4uTkpFXGyJEjGTZsGMOHD6dr1668ePGCRYsW0aBBg390baWLiwsdOnRgz549/Pzzz7Rv354BAwawa9cu+vXrx4ABAyhRogSHDh1i06ZNjBo1CpVKhbOzM40bN2bKlCk8ffqU0qVLs23bNq5fv66zxdGsWTNcXFzw9vbGy8uLypUr88cff7B06VKcnJwoVaoUJUqUwMTEBF9fXz7//HNsbGy4ePEiJ06cUI+h52Z7ZpX5uTw9Pfn888+xsrJix44dhIaG4ufn99b3YLC3t6d8+fIcOnSI4cOHA//tsj179izdunV747b5J7+z7AwcOJBff/0VLy8vunfvTsOGDTEzM+PWrVusX78eMzOzHK8RNjIyomXLlgQGBmJnZ/fGruopU6bw+PFj+vbtS48ePWjcuDFGRkZERESwfv16DA0NWbFixT8+kY6NjVXP5M9OzZo1tbqAARo1aqS+69n169f56KOPKFmyJE+ePOGnn37i7Nmz6lnPmWO4M2bMoEuXLkRHR7Nx40auXr0KZATUnI6fefHVV18xatQoSpYsSWBgIPHx8VpzQd5Ghw4dWLlyJd7e3owePRpLS0uCgoJ4/vy5uifzTXJ1y62hQ4dSo0YNgoODWbBgAc+fP8fOzo4GDRowbNgwjVmEI0aMoGTJkmzYsIHt27dTrFgx2rRpg4+PT47jBrllbm7OsmXLmD9/PqNHj8bOzo6BAwdy+fJl9Rm4jY0Na9asYeHChUyfPp1Xr15hb2/PrFmz1LNVX1eQdc5Ou3btWLVqVY5nwpBxLfOMGTPUl6yUL1+eadOmsXfvXs6ePavO5+XlxdSpU/n888+1WpjZSUtL48svv8TMzEx9zTCAn58fHTt2ZPLkySxfvjxXn6Ny5cps3LiRb7/9Vn1JhKOjI+vWrftHY9yQMY42e/ZsrfQWLVrg4eFB586dMTMzIyAggNGjR2NmZkbjxo354osv1Gfb5cqVIzAwkLlz5+Lj40PJkiUZNmwYS5cuzfH7HD16NCYmJuzcuZPVq1djampK48aNGTt2rHps19PTk4sXLzJs2LBsWwLu7u4EBASwbNkyRo0aRbFixWjZsiU+Pj7/uCU2btw4Dh8+zDfffIO7uzs2NjZs3ryZb7/9llmzZpGQkEDZsmWZOnWqeiY1ZFymNGfOHBYtWkRKSgotW7akZ8+e7Nix443vp6enx8qVK1m8eDFBQUE8efIEGxsbevXqhbe3N5BxdUBQUBALFixg3rx5REdHU7p0aUaPHq0+Ec7N9szK2tqaTZs2sWDBAubOnUtiYiIODg7qa63zg5ubG2vXrtUIsg0bNuTcuXPZzurOKq+/s5wULVqUzZs3s2bNGn777Td++uknEhMTsbOzw8PDg6FDh2pNGsuqXbt2/PTTTzpbwObm5qxZs0Z9f4ldu3aRlJREmTJl6NmzJ3379lUP9f0T165de+PVGnv37qVixYrZLps7dy4NGjRg586dzJgxg9jYWIoVK4aLiwvbtm1TT3p1dXVlypQpBAUFcfDgQUqWLImLiwuenp4MHz6c8PDwfOmu9/PzY86cOfz99984OTkRHBysvuQxPxgYGBAYGMjMmTPVV8R8/PHHlChRQqMXOCeqdLlrvPiXOXHiBIaGhhoH4+joaBo3bsz48ePfeHnIv0FkZCRnz56ldevWGhNnRo4cqb4JixD/65YsWcLSpUu5fPlygd4i+urVq9y8eZO2bdtq9NZ07tyZMmXKsHjx4jeuX3g3rxaikFy9epWFCxcyevRoqlevzosXL1i3bh1FixYtkAeDvGv09fWZPHkyv/76K126dEFfX5/jx4/zyy+/qG84I4QoHImJiYwZM4aQkBBat25Namoqe/fu5cqVKzleGpyVtKTFv05aWhoBAQHs2LGDhw8fYmpqiqurK76+vm+8wcO/SUhICMuWLePKlSukpKRQqVIlBg4c+D9xkiJEbhRWSxrgwIEDrF69mps3b5Kenk6NGjUYPny4+iYtbyJBWgghhHhH5c91BUIIIYTIdxKkhRBCiHeUTBwTQgihk6pV7h60BJB+MOcbB4m8kSD9nsvLD0f8+2UeHF+lvNSRU/wvMTOw0J1Jl394603xdiRICyGE0E0GRxUhQVoIIYRu0pJWhARpIYQQukmMVoQEaSGEELrpS5RWggRpIYQQukl3tyIkSAshhNBNYrQiJEgLIYTQTU+itBIkSAshhNBNYrQiJEgLIYTQTcakFSFBWgghhG4yu1sREqSFEELoJjFaERKkhRBC6Cbd3YqQIC2EEEI3md2tCAnSQgghdJMYrQgJ0kIIIXSTlrQi5OFjQgghdNNT5f6VB7du3cLBwUHrtXXrVgCuXLlC3759qSFM/2cAACAASURBVFOnDm5ubgQGBmqsn5aWxuLFi2natCm1a9dm4MCB3L17VyNPfpShFAnSQgghdFPl4ZUHV69exdzcnBMnTmi8OnbsyLNnz/D09KRcuXL8+OOPjBo1isWLF7Nlyxb1+suWLWPTpk34+fnxww8/oK+vz6BBg0hMTATIlzKUJN3dQgghdCug2d3Xrl2jYsWKWFtbay1bu3YthoaGTJs2DQMDAypWrMjdu3dZuXIl3bt3JykpiTVr1uDr60vz5s0B8Pf3p0mTJuzbt49PPvmELVu2vHUZSpKWtBBCCN308vDKg6tXr1KxYsVsl4WHh1O/fn0MDP7bnnR1deX+/fs8fvyYK1euEBcXR4MGDdTLzc3NqV69OuHh4flWhpKkJS2EEEK3PLSkY2JiiImJ0Uq3tLTE0tJSI+3atWuUK1eOnj17cu/ePcqXL8/nn39OkyZNePz4MZUqVdLIb2NjA8DDhw+JiooCwNbWVivPw4cPAfKlDCVJkBZCCKFbHiaErVu3jqVLl2qle3t7M2LECPXfcXFxREZGYmVlxZgxYzAzM2PXrl0MHjyYNWvWkJCQgJGRkUYZmX8nJiYSHx+vkZY1T1JSEkC+lKEkCdJCCCF0y0M3dv/+/enUqZNW+uutaFNTU86ePYuhoaE6SNasWZObN2+yevVqjI2NtQJl5t+mpqYYGxur07IG2aSkJExNTQHypQwlSZAWQgihWx66u7Pr1s6JmZmZVlqVKlU4fPgwH374obo7OlPm33Z2dqSnp6vTzM3NNfJkdnHb2dm9dRlKkoljQgghdCuAS7DOnz+Pk5MTly5d0kj//fffqVy5Ms7Ozpw9e5aUlBT1spCQEMqXL4+1tTVVq1bF3NycsLAw9fLY2Fj++OMPXFxcAPKlDCVJkBZCCKFbAdzMpGbNmpQpU4bJkydz9uxZbt68iZ+fH+fPn2fYsGF06dKF+Ph4Jk6cyI0bN9ixYwdr167Fy8sLyBg37tOnD/7+/hw6dIg///wTHx8fbG1tad26NUC+lKEkVXpmW1+8l1StyihdBfEOST8YCcCrlJcK10S8S8wMLN66DNWIWrnOm74kItd5Hz9+zIIFCzh58iQxMTHUqFGDL774Qt2KjYiIYObMmVy+fBlra2s8PT3p16+fev3U1FT8/f3Zvn078fHx1KtXj6lTp/Lhhx+q8+RHGUqRIP2ekyAtspIgLbKTH0Fab5RjrvOmLbqkO5PIFZk4JoQQQieVPE9aERKkhRBC6CQxWhkSpIUQQuikJ1FaERKkhRBC6CTd3cqQIC2EEEInPT25YlcJEqSFEELoJA1pZUiQFkIIoZN0dytDgrQQQgidJEgrQ4K0EEIInVR5uSm3yDcSpIUQQugkLWllSJAWQgihk34eHpwh8o8EaSGEEDpJS1oZEqSFEELoJEFaGRKkhRBC6CQxWhkSpIUQQugkLWllSJAWQgihkwRpZUiQFkIIoZPcu1sZEqSFEELoJA1pZcipkSh0VhbFSD8YqfXaOjkAgHpVHLNdPm/IJI1yvD8ewLW1x4nbc4NLKw/RrVkH9bKgsd9mW0b6wUh+m7dFnc/ZoQ5HFmwjZuef3AsOY2rfLzDQl3PXd9HR347SxLlZjsvXr91Az86faqXfu3uPUZ/70Lh+UzyatGTGFD9iomM08rx48YLJE6bg3qgFbg09mDF1Jq9evcr3z/A+U6lUuX6J/CNHI1HoalesDkDr8Z8SExerTn8a8xwAR/tqxMa/ouWXvTTW++vJI/X/x3YfxswB45i8dj5nrl2gR/P/sPmr5fwd/YwjF08xY8MivtuzQWN9N8eGzBk8gdX7NgFQ4YNyHPxmI8cjwugyfQgVPijL3MFfUdyiKKOXTy2Qzy7+mYvnLzJp/BTS09OzXX7owCGW+C+hQsWKGunPnz1nUN/PMDE1ZtK0rzA1NWHVd4EMGTCU9T98j6FhxiFwzMixRD2O4qupE4iLi2fh/IU8f/aMb5csKPDP9r6Q4KsMCdKi0DnaV+PRsygOnj2W/fIK1fj9zlVCr5zLdrmFqTlT+/gwIXAOC7ZltL5/O38Shw8r0rpeM45cPMWth3e59fCuxjpbJq1g3S9b2fjbTwB4te9DQlIiXad7kZicCIBtMWsm9BrOmO+mk5qWmp8fW/wDSUlJbFy/iRVLvsPExIS0tDSN5bGxsaxcvorg7zdiYWGhtf7O7Tt58eIFq7/fQrny5QBwrONI+9Yd2fXTLrp070zIqRDOnz3Phi3rqV6jGgAlrUvi7TWCa1evU8WhcsF/0PeAngRpRUh3tyh0jhWqcen2lZyX21fj0q2cl7eu1xxjoyLqFnEmtzFdmbhmTrbrTOjpjaWpOWNX+anTFmwLoPX4T9UBGiApJQkDfQP09fVz+3FEATp5/BRBq9cy2ncUPXr30Fq+fetPHNj3C7Pnz6Jxs8Zay+/evccHpT5QB2iA4lbFKVeuLKdOngYg9HQY1jbW6gAN4NrQBRMTE06dOFUAn+r9pKenyvVL5B9pSRegZ8+e8cMPPxAeHs7Dhw9JTEzE1NQUOzs7XFxc6NatG8WKFVO6moXOsUI1EpISOblwB3Ur1+RJ9HMW71jDvC0rAKhlX5XE5CTOf3eA6mUrcy/qL2YEL+T7g9vU6z98FkWdijX4dugUatlX5c7jSMavns32E3u13s+2uDWjOw9m+gZ//n7xVJ0e9eIJUS+eAGBmbIp7nUaM6epF0IEtJCUnFcKWELrUqFmdPQd2YWFpwXfLArSWu7dwp8en3SlSpAhHD2v3zNja2fL82XMSExMpUqQIAMnJKTx+HKXuvr139x4flv1QYz19fX0+KPUB9+7eK4BP9X6Sp2ApQ4J0AYmIiGDw4MGYmZlRv359qlWrhpGREUlJSURFRbFp0ybWrFlDUFAQVatWVbq6hUalUlG9bBVeJcThu3IG96L+op2LB7MHjle3jq2LlaByaXsmrJnN85fR9HL/hHXjFpKens76Qz9iXdQKcxNTNn+1jOkbFnI18iaD2/Zi6+TvaDz6E0Je6yYf2qEvKakprNi9Pts66enp8WLHHxjoG3Dr4V38ghcVxqYQuWBja/PG5R+WLfPG5a0/akXQqrVMmTiN0WNGYWBowPLFy4l7FUd8fDwAsbGvMDUz1VrX1MyUV7EyeSyTjEkrQ4J0AZk5cyYeHh7MnDkz2+sL09LS+Oqrr/Dz82PDhg3ZlPDvpFKp6DC5P/ei/uLmX3cAOHLxFOYmpnzZ/XPmb/2Ojyb05tKtKzx6FgXAr+dPUKqELVP7+rD+0I8YGhhSzLwo/b4ZxfpDPwJw+MIpqpetwuQ+o2n/VT+N9xzcthfrDm4j+pXmjN5M+nr6tJ3YFzNjUyb3HkXokt3U/bwtD58+LrgNIQpFhUoVmDXXj5lfz6J9qw7o6enxn04dadKsMQ8iHwCQnp6efSsxPR2VdN2qSZBWhoxJF5ArV64wePDgHG8AoKenx+DBg7l8+XIh10xZaWlpHL5wSh2gM+0/cwQzE1MqfFCOX8KPqgO0enn4ESqWKo+ZsSmx8a/UaZnS09P57cJJapXX7JVwdqhDGesP2Hx4Z451Sk5J5tC54+w8dYA2E/tQ1MySQW16vt0HFe+MFq1bcPDYL2zfs42Dx35hyvTJPHv2HMuiRQGwsDAnLk67xRwXF4+5uXlhV/edpVLl/iXyjwTpAmJtbc3Vq1ffmOfSpUv/c2PSH5Sw5bN2vSlZ1Eoj3aSIMZBxDbVXhz4YGRppLjcyJi4hnlcJcdz4/wBvZKCZx9DAkHQ0L9Fp4+zGo2dRnLx8RqsuLZya4F6nkUbak+hnPHjyiNIl7f7R5xPvlr8e/MXOn3ahr69PefvyFC9ejNTUVG7duIVD1SoAfFj2Qx7cf6CxXmpqKg//ekj5LBPO/tfJddLKkCBdQAYMGMBXX33FggULOH78ONevX+fu3btcv36dkydP4u/vz9dff03//v2VrmqhKmJoxEqfb+jTorNGepem7bh6/yb6evp8N2oO7Vw8NJZ3btKW47+HAvBL+FEAujVrr16ur6dP63rNOHU5XGM9F4c6hF29kG1dBrftxcrRczVuXlKptD3l7coQcfvPf/4hxTvj4cNHfD1pOteuXlen7d97gJiYGJq5NQXApYELjx495sof//3OQ0+HER8fj0sDl0Kv87tKT08v169/6vbt2zg5ObF161Z1WmRkJF5eXtStW5dGjRoxb948UlJSNNYLDg6mRYsWODo60qNHDy5duqSxPD/KUIqMSReQ3r17Y2JiQkBAAKtWrdI4u0xPT8fe3p6vvvqKbt26KVjLwnfn0X02/raDGZ5jSUtP58q963Rr1oEuTdrxybRBHIsI4XhEKN+Nmk1x86I8fBaFV/veOFaoShOfjMB+/cFtAvdtZtbA8ahUKi7fvcawDn0pZ1OartO9NN6vZnkHth77Odu6zNv6HacW7uCHSSv4bs967Ipb83W/MVx/cJugAz8U+LYQBa92HUcqV6nMtElfM3zk5zx+9Jj53yygmVtT6rvUB6BBI1eq16jOmBFjGDVmJElJyfjPX4ibR3Oq/H9rWxR8N3ZycjK+vr7ExcWp05KSkhg0aBD29vZs3ryZ+/fvM3HiRAwMDPDx8QFg+/btzJs3jxkzZlCtWjVWr17N4MGD2bdvHyVKlMiXMpQkQboAde7cmc6dO/P06VMeP35MfHw8xsbGfPDBB1hZWeku4F9q0AJfJvcZxehOg/ighA1X7t2gy/Qh7D59EICPpw5i1sAvmd7flxKWxTl3I4JWX37K2Wv/PbP1WvglkU8e4tP5M0oWteLirT9oNf5TIl67/tqmWElevIrOth7nrkfQYlxPZg38kh+nrCQxOYldp39h3KqZxCcmFNwGEIXGwMAA/2Xf8o3fXCb4TsDE1JRuPboybMRQdR49PT0WLvuWubPmMX2KH0WKGOHewp0vvvRRsObvnoLuxl6yZAlmZmYaaQcOHODBgwds2bKFokWLUqVKFXx9fZk1axbDhg3D2NiYgIAAPv30Uzp27AhkTNpt1aoVmzdvZvjw4flShpJU6TndZ0+8F1St3nwJivjfkn4wEoBXKS8Vrol4l5gZaN+NLa+qLWqX67xXRmnfr+BNzpw5g7e3Nzt27MDNzQ0/Pz+6devG1KlT+eOPPzS6v+/du0erVq3YuHEj5cqVo3HjxqxcuZLmzZur84wdO5YnT54QFBSUL2UoSVrSQgghdMpLSzomJoaYGO1LHi0tLbG0tNTKO27cOCZNmsQHH3ygsezx48fY2WlO4rSxybh2/tGjRxgbZ0w4zS5PREREvpWhJAnSQgghdMpLb/e6detYunSpVrq3tzcjRozQSJs2bRp16tRRdzVnlZCQoNUFbmSUcVVHYmKi+oY0mWlZ8yQlJeVbGUqSIC2EEEKnvMza7t+3P506ddJKf70VvWPHDsLDw9m9e3e25RgbG2sFysy/TU1N1a3g7PKYmprmWxlKkiAthBBCp7x0d2fXrZ2dH3/8kadPn+Lm5qaRPn36dNauXYuzszNXrmhOBo2KyrjRkZ2dHaVKlVKnOTg4aOSxtbVV53vbMpQkQbqA9O7dO9d5g4ODC7AmQgjx9gpicvf8+fNJSNC8kqJ169Z4e3vToUMHLly4wPbt24mJiVEH/dDQUMzMzKhevTpGRkbY29sTFhZG06YZ172npqZy9uxZevTIeGqas7PzW5ehJAnSBaRs2bJKV0EIIfJNQVyClVNL1crKitKlS1OyZEkWLlyIj48PY8eO5a+//mLBggUMGDBAPYY8cOBA/Pz8sLe3x9HRkcDAQF69eqW+B0XLli3fugwlSZAuILNnz1a6CkIIkX8UuN1nkSJFWL16NdOnT6d79+5YWlrSo0cPjWuXu3fvTmxsLIsWLeLFixfUqFGDNWvWqO9FkR9lKEmuky4kT5484datW6SmpqrTkpKSuHjxIiNHjvzH5cp10iIruU5aZCc/rpOuu0p7IlhOzn3201u/n8ggLelCsGPHDiZPnkxycjIqlSrj0Xj/f1ZaunTptwrSQghRGOTBGcqQB2wUgpUrV9KhQwf279+PhYUFP/74I8uWLcPGxkbrmkEhhHgXyVOwlCEt6UJw//59lixZQvny5XFwcODZs2d4eHiQkpLCd999x8cff6x0FYUQ4o0k+CpDWtKFwMjISD2LsFy5curnTNesWZO7d+8qWTUhhMgVlSr3L5F/JEgXgpo1a7J582YAKleuzMmTJwG4fv06hoaGSlZNCCFyRbq7lSHd3YVgxIgRDB48GCsrKzp16sSyZcv46KOPiIqKon379kpXTwghdMrLbUFF/pEgXQjq16/PgQMHSEpKwsrKio0bN7J582Y++OAD+vbtq3T1hBBCJ2khK0OCdCHJemedSpUqMWnSJAVrI4QQeSMxWhkSpAtBv3793rj8+++/L6SaCCHEPyMtaWVIkC4Er9+fNiUlhbt373Lr1i2dAVwIId4FEqSVIUG6EMybNy/bdH9/f2JiYgq5NkIIkXcSpJUh0/UU1LVrV37++WelqyGEEDrp6aly/RL5R1rSCrpx4wbyfBMhxHtBWtKKkCBdCMaNG6eVFhsby+nTp2nTpo0CNRJCiLyR7m5lSJAuBA8fPtT4W6VSYWhoyKBBgxgwYIBCtRJCiNyTXmxlSJAuBOvXr89x2d9//42ZmVkh1kYIIfJOWtLKkIljhaBatWo8e/ZMK/2vv/6idevWCtRICCHyRl9PL9cvkX+kJV1A9u7dy/HjxwFIT0/Hz8+PIkWKaOSJjIzE1NRUieoJIUSeSOhVhgTpAlKnTh2Cg4PVs7cjIyMxMPjv5lapVJiZmTF79mylqiiEELmmJ93dipAgXUBKlSpFcHAwAH379mXZsmVYWloqXCshhPhnZExaGdKDUQjWr1/PmTNnOHz4sDpt0qRJHD16VMFaCSFE7umpVLl+ifwjQboQbN26lVGjRvHgwQN1WlJSEsOHD2fv3r0K1kwIIXJHpVLl+iXyj3R3F4LAwECmTp1Kt27d1Glz586lXr16rFixgnbt2ilYOyGE0M1Agq8ipCVdCB4+fEiDBg200hs1asS9e/cUqJEQQuSNtKSVIUG6EJQuXZqQkBCt9LNnz2JjY6NAjYQQIm9kTFoZ0t1dCHr37s2sWbO4d+8etWvXBiAiIoLvv/+eESNGKFw7IYTQTUKvMiRIF4LevXuTkJDA2rVrWbVqFQA2Njb4+vry0UcfKVw7IYTQTVrIypDu7kIyaNAgjh8/zunTpwkPD2fevHmcOXMGd3d3pasmhBA6FdRtQR8/fswXX3yBq6srTk5ODBkyhOvXr6uXX7lyhb59+1KnTh3c3NwIDAzUWD8tLY3FixfTtGlTateuzcCBA7l7965GnvwoQykSpAvRy5cv2b17N927d8fT05PDhw/TqVMnpaslhBA6FcSYdHp6Op999hmPHj0iMDCQbdu2YWxsjKenJ69eveLZs2d4enpSrlw5fvzxR0aNGsXixYvZsmWLuoxly5axadMm/Pz8+OGHH9DX12fQoEEkJiYC5EsZSpLu7kIQERHB5s2b2bt3L/Hx8ahUKvr164eXlxdWVlZKV08IIXQqiM7uJ0+eULFiRUaOHIm9vT0An3/+OR9//DHXrl0jNDQUQ0NDpk2bhoGBARUrVuTu3busXLmS7t27k5SUxJo1a/D19aV58+YA+Pv706RJE/bt28cnn3zCli1b3roMJUlLuoAkJCSwbds2unTpQrdu3di/fz+tW7cmICAAfX19unXrJgFaCPHeKIiWtLW1Nf7+/uoA/eTJEwIDA7GxsaFKlSqEh4dTv359jeceuLq6cv/+fR4/fsyVK1eIi4vTuMTV3Nyc6tWrEx4eDpAvZShJWtIFpFmzZqSlpdGsWTO8vLxwc3PDyMgIQP3QDSGEeF/kJfjGxMQQExOjlW5paZnjMwzGjx/PTz/9hJGREStWrMDMzIzHjx9TqVIljXyZl60+fPiQqKgoAGxtbbXyPHz4ECBfylCSBOkCkpKSgoWFBcbGxiQnJ5OSkqIO0kII8b7Jy01K1q1bx9KlS7XSvb29c7zsdNCgQfTu3ZuNGzcyfPhwgoODSUhI0DpuZv6dmJhIfHy8RlrWPElJSQD5UoaSJEgXkJMnT7J//362bdvG9u3bMTY2pnnz5rRr107uyCOEeO/o5+G41b9//2wnxb7pSYCVK1cGYObMmVy8eJH169djbGysFSgz/zY1NcXY2FidljXIJiUlYWpqCpAvZShJgnQBMTExoVOnTnTq1Ik7d+6wbds2du7cyYEDB1CpVAQGBjJ48GAqVqyodFWFEEKnvHR3v6lbO6uoqChCQ0Pp0KGDuvGip6dHpUqVePz4MXZ2duru6KzrANjZ2amHDqOiojA3N9fIk9nFnR9lKEkmjhWC8uXL4+vry9GjR1m+fDktWrRg9+7ddOjQgQEDBihdPSGE0KkgJo49fPgQX19fzp49q05LTk7mjz/+oGLFijg7O3P27FlSUlLUy0NCQihfvjzW1tZUrVoVc3NzwsLC1MtjY2P5448/cHFxAciXMpQkQboQ6enp4eHhwdKlSzl27Bi+vr5aZ3hCCPEuKogHbNSqVQtXV1emTJlCeHg4165d48svv+TFixd4enrSpUsX4uPjmThxIjdu3GDHjh2sXbsWLy8vIGPcuE+fPvj7+3Po0CH+/PNPfHx8sLW1pXXr1gD5UoaSVOky1fi9pmpVRukqiHdI+sFIAF6lvFS4JuJdYmZg8dZljDw6Jtd5FzdfkOu80dHRzJ8/n8OHD/Py5Uvq16/PuHHjcHBwADLuMzFz5kwuX76MtbU1np6e9OvXT71+amoq/v7+bN++nfj4eOrVq8fUqVP58MMP1XnyowylSJB+z0mQFllJkBbZyY8gPeqYb67zLmo2/63fT2SQiWNCCCF0MsjjPblF/pAg/Z7LbDkJkVV+tJyEyEouHVWGBGkhhBA66ckTpRUhQfo9l5Aap3QVxDvEWD/j5guyX4isMveLtyEtaWVIkBZCCKFTXq5/FvlHgrQQQgid9FQycUwJEqSFEELoJC1pZUiQFkIIoZNKblCpCAnSQgghdJKWtDIkSAshhNBJZncrQ4K0EEIInVRynbQiJEgLIYTQSV9uC6oICdJCCCF00pOJY4qQIC2EEEInGZNWhgRpIYQQOkmQVoYEaSGEEDrJAzaUIUFaCCGETtKSVoYEaSGEEDrpy727FSFBWgghhE7ygA1lSJAWQgihk3R3K0OCtBBCCJ3kjmPKkCAthBBCJ3nAhjIkSAshhNBJJo4pQ4K0EEIInVQSpBUhQVoIIYROMiatDAnSQgghdJIxaWVIkBZCCKGTXIKlDBlkEEIIoZMeqly/8iI2NpZZs2bh4eGBk5MTnTt35tdff1Uvj4yMxMvLi7p169KoUSPmzZtHSkqKRhnBwcG0aNECR0dHevTowaVLlzSW50cZSpEgLYQQQic9Pf1cv/JiwoQJHDlyBD8/P3bs2EHr1q3x9vbm9OnTJCUlMWjQIFQqFZs3b2bGjBls27aNJUuWqNffvn078+bNY/To0Wzfvh17e3sGDx7M06dPAfKlDCWp0tPT05WuhPjnElLjlK6CeIcY65sCsl8ITZn7xdtYfy0w13n7VhmUq3x///03TZo0ISAgADc3N3V6//79KVmyJG5ubkyYMIGTJ09StGhRALZu3cqsWbM4ffo0xsbGfPTRR7Ro0YJx48YBkJqaSqtWrejSpQvDhw9n9+7db12GkqQlLYQQQieVSpXrV26ZmJiwatUq6tevr/Ve0dHRhIeHU61aNXVwBXB1dSUuLo7Lly/z5MkT7ty5g6urq3q5vr4+9erVIzw8HCBfylCSTBwTQgihU14uwYqJiSEmJkYr3dLSEktLS/Xf5ubmNGvWTCPPhQsXCAkJYdKkSZw4cQI7OzuN5TY2NgA8evQIY2NjgGzzREREAPD48eO3LkNJEqSFEELolJcW8rp161i6dKlWure3NyNGjMhxvZs3b+Lt7U3t2rXp0aMHhw4dwszMTCOPkZERAImJicTHx2ukZc2TlJQEQEJCwluXoSQJ0kIIIXTKy6zt/v3706lTJ630rK3o1505cwZvb29KlSpFQEAAhoaGGBsbawXKzL9NTU3VreDs8piaZozD50cZSpIxaSGEEDrpqfRz/bK0tKRMmTJar5yC9K5duxgwYAA1atRg/fr1FCtWDMjogo6KitLIm/m3nZ0dpUqV0kjLmsfW1jbfylCSBGkhhBA6FcTEMYDdu3czbtw42rZtS0BAAObm5uplzs7OXLlyRWN8OzQ0FDMzM6pXr46VlRX29vaEhYWpl6empnL27FlcXFzyrQwl6U+bNm2a0pUQ/1xKerLSVRDvEAM9Q0D2C6Epc794G1ee/44ql/+qF6+VqzIfPXrEoEGDqFevHtOmTSMxMZG4uDji4uJITk7GwcGBXbt2ERISgoODA5cuXcLPz49+/frRqFEjIGPseMmSJdja2mJoaMiCBQu4du0as2bNwsTEhHLlyr11GUqSMWkhhBA6FcRtQX/55Rfi4+MJCQmhadOmGsvq1q3Lpk2bWL16NdOnT6d79+5YWlrSo0cPjWuXu3fvTmxsLIsWLeLFixfUqFGDNWvWYGVlBUCRIkXeugwlyc1M3nNy0wqRldzMRGQnP25m8tPtzbnO28m+51u/n8ggLWkhhBA66anydrtPkT8kSAshhNBJnoKlDAnSQgghdMrLHcdE/pEgLYQQQic9aUkrQoK0EEIInaQlrQwJ0kIIIXSSMWllSJAWQgihk8zuVoYEaSGEEDrl5QEbIv9IkBZCCKGTdHcrQ4K0EEIInWTimDLkKVjivXTktyM0rN9YIy09PZ1V363mI4+2uNZtiNegody+dVuhGorCkJqaSlDgWjp89B8a1GtE7x59CQ3579OMEhIS8F+wiDYt2tLYpSmDBwzhppNozQAAE3pJREFUyh9/Kljj91dBPQVLvJkEafHeuXD+AhO/nMTrt50PWL6SVQGr6TegL9/Mn83L2Fg+G+jFy5cvFaqpKGhr16xjycKlfNL5YxYu+ZYPy5bh8yHD1YF43pz5/LDxBzwHeTL322/Q19Pjs4FDePzosbIVfw/pq/Rz/RL5R4K0eG8kJSURFLiWwZ5D0NfXPBC8evWKdUHfM3S4F737foqbhxvfrVxO3Ks4fvpxhzIVFgVu9849tG3fhsFeg2jQqAEz5/hRsmRJftq+g7S0NH7evZe+nn3o+WkPGjdpxLeLF5CYkMj+vQeUrvp7J7ePqZRu8fwlQVq8N04cO0ngqjX4+I6mV2/Np+xcuhhBXFwcbu7N1WmWRS2p51yPkydOFXZVRSFJSkrCzNxc/be+vj7mFubEREeTlpZGcnIy5mb/XW5iYoKRkRHR0dFKVPe9Jt3dypAgLd4bNWrVYO8vP9O776daB4K7d+4C8OGHH2qklylTmnv/v0z8+/To1Z2fd/1M6OlQXr58SfD6jdy8cZM2bT/CwMCArt27sCl4E79HXCYmOoaFCxaRkJBAy9YtlK76e0da0sqQ2d3ivWFra5PjslexsRgZGWFoZKiRbmZmRmzsq4KumlBI957dOBN6hiGDhqrTvEcOx83DDYChw72IuBRB7x59gIzW4IzZ06leo7oCtX2/SQtZGRKkC0jz5s1zvVMfOXKkYCvzPyA9PfuDSHp6Onp60mH0b5Sens6wz4Zz6+YtvpoyAfsKFQg9Hcp3ywOwsLTg407/od+nniQnJeE3ZwY2Njb8evBXpk36GnMzM9xbuCv9Ed4retLxqggJ0gVk3LhxTJw4kQoVKtCihXStFTRzC3OSkpJITk7G0PC/rem4uDjMLczfsKZ4X50/d4Hz584z79u5tG7TCgBnl/qkpKbgv2Ah5ubm3Lt7j+AfNlCzVg0AXBu48OLFC+bMnCtBOo/0VBKklSBBuoC0b9+eIkWK4OPjw+zZs6latarSVfpXK1uuLOnp6Tx48Bfly5dTp0dGPtD4W/x7PH70CADH2rU00p3qOhG0ei0PHjxAX1+fGjWray0/sO8X4l7FYWpmWmj1fd9Jd7cy5NSoALVs2ZL27dvj7++vdFX+9erUqU2RIkU4/OthdVpMdAxnz5zFpYGLgjUTBaXc/598nT9/QSM94lIEBgYGVKxYgdTUVCIuRby2/HeKWxXHxNSk0Or6byATx5QhLekCNmnSJCIjI5Wuxr+eqZkpvXr3ZOmiZeip9ChXviyrAgIxMzejc9dOSldPFIDqNarTtHlTZk2fTUx0DPYV7AkPCydo9Vo+7dOL5u7NcajqwFifL/Ee9TnW1tYcPXKMn/+vvXsPiqp64AD+vcouK8tLREBNESkVM8EJ0V9j2IACmUw5hWWmgjjijKFik1JgTmE+xgxIGR8jGOQCKmFJ+Jgeaukois2vYRAjRwVM5RGpEOC6wO8Pfq6sLLHA5d5Fvp9mZ9rD2XOPO3fud88999ybk4vomDUcGXYSw1ceQvPjt22iXqWhsU7uLshix/adSN2bhnMXH62B1ul02P5FEg4fykFdXR08J3oi+sPVcBvlJmNPpaXq33L6tq/sFw0NDdiemIRjR4/j3t17GOE6AnPeCkHIm29AEATcuXMH8Z8l4NSJU2houI9R7m4ICw/FjMAZcnddUg/3i+7IrzL9fgPeji90e3vUgiHdy/WVgzGZpq+FNJlGjJC+WHXW5LrPO/6n29ujFjzdTUREHeLV3fJgSBMRUYc4Jy0PhjQREXWIF9rJgyFNREQd4khaHgzpHjJv3jyT62o0mh7sCRFR90kR0rt27cLJkyeRkZGhL7tx4wbi4uJw4cIFqFQqzJ49G1FRUbCweBRfGo0GKSkpqKyshIeHB2JiYjBhwgRR25ALQ7qHjBgxQu4uEBGJpqcvHNNoNIiPj8fEiRP1ZVqtFuHh4XBzc0NmZibKysrw4YcfwsLCAlFRUQCA7OxsbNmyBXFxcfDw8MCePXuwePFiHD16FIMGDRKlDTlxCVYvx6U21BqXYJExYizBunTnvx1X+r9x9l4m1y0vL8e6deuQl5cHFxcX2Nvb60fSOTk5+OCDD3DmzBnY2dkBAA4ePIgNGzbg7NmzUKlUCAwMhL+/P1avXg0AaGxsxIwZM/D6669j2bJlorQhJ46kJVJVVYWrV6+isbFRX6bVavHbb79h+fLlMvaMiKhjPXW6u7CwEGq1GocPH0ZSUhJKSh49/z0/Px8eHh76cAWAyZMno66uDoWFhXB1dcX169cxefJk/d/79++P559/Hvn5+aK1ISeGtAS++eYbrF27Fg8ePIAgCGhubtZfKTls2DCGNBGZvc6E9L1793Dv3r025ba2trC1tTUo8/Pzg5+fn9F2ysvL4eLiYlDm5NTyXPnbt29DpVIBgNE6BQUForUhJ65Ol8Du3bsxa9YsHDt2DDY2Nvj666+RlJQEJycnREZGyt09IqIOCYJg8is1NRX+/v5tXqmpqZ3aZkNDA5RKpUHZw/f3799HfX29QVnrOlqtVrQ25MSRtATKysqwbds2jBw5EmPGjEF1dTX8/Pyg0+mwc+dOvPrqq3J3kYjoX3VmJL1w4ULMnt32wTaPj6I7olKp2gTlw/dWVlb6UbCxOlZWVqK1ISeOpCWgVCr1v9JcXV3x+++/AwDGjx9vMP9CRGSu+gn9TH7Z2triqaeeavPqbEi7uLigoqLCoOzhexcXFwwdOtSgrHUdZ2dn0dqQE0NaAuPHj0dmZiYA4JlnnsGZM2cAAH/88QcUCoWcXSMiMpHQiZc4Jk2ahKKiIoP57by8PKjVaowbNw4ODg5wc3PD+fPn9X9vbGzExYsX4ePjI1obcmJISyAyMhIajQbJyckIDg5GYWEhAgMDsXLlSkyfPl3u7hERdagzc9JimT59OpydnREVFYXLly/jp59+wtatWxEWFqY/O7lo0SKkpqYiOzsbV65cQWxsLP755x+EhISI1oacOCctAW9vbxw/fhxarRYODg5IT09HZmYmhgwZgvnz58vdPSKiDslxW1BLS0vs2bMHn3zyCebMmQNbW1u8+eabBmuX58yZg9raWiQmJuLOnTt49tlnkZKSAgcHB9HakBNvZtLL8aYV1BpvZkLGiHEzk2s1xSbXdbMZ3e3tUQuOpCWwYMGCf/17WlqaRD0hIuoaPgVLHgxpCTx+haBOp0NJSQmuXr3aYYATEZmDfryESRYMaQls2bLFaHl8fLzRu/IQEZkbjqTlwZ9GMnrjjTeQm5srdzeIiDokdOI/Eg9H0jK6cuUKeN0eEfUGHEnLgyEtgYePP2uttrYWZ8+eRVBQkAw9IiLqHI6Q5cGQlsCtW7cM3guCAIVCgfDwcISFhcnUKyIi0zGk5cF10jKrrKzE4MGDu/x5roel1rhOmowRY5307foyk+u6DBje7e1RC144JgEPDw9UV1e3Kb958yYCAgJk6BERUWdJf+9u4unuHnPkyBH88ssvAIDm5masX78elpaWBnVu3LhhFo9CIyLqCKNXHgzpHuLl5QWNRqO/evvGjRuwsHj0dQuCALVajY0bN8rVRSKiTmBMy4Fz0hKYP38+kpKSOv0sVVNw7pFa45w0GSPGnHRFw02T6zqphnZ7e9SCc9IS+Oqrr3DhwgWcOHFCXxYbG4tTp07J2CsiItPxZibyYEhL4ODBg1ixYgX+/PNPfZlWq8WyZctw5MgRGXtGRGQahrQ8eLpbAkFBQQgPD2/zAPH9+/dj3759yMnJ6XLbPK1JrfF0NxkjxunuqobbJtd1VLl0e3vUgiNpCdy6dQtTpkxpU/7CCy+gtLRUhh4REXWOIAgmv0g8DGkJDBs2DOfOnWtTfvHiRTg5OcnQIyIi6g24BEsC8+bNw4YNG1BaWgpPT08AQEFBAdLS0hAZGSlz74iIOsa5ZnlwTloiycnJ+PLLL1FZWQkAcHJyQkREBAIDA+Ho6Njldjn3SK1xTpqMEWNO+u/7lSbXHWjZ9VsdkyGGtMT+/vtvKBQKFBYWIiMjAz/++CMKCgq63B4PxtQaQ5qMESOk72irTK5rr+z6wIMM8XS3hGpqapCTk4PMzExcu3YNSqUSs2fPlrtbREQm4OluOTCkJVBQUIDMzEwcOXIE9fX1EAQBCxYsQEREBBwcHOTuHhFRhxjR8mBI95CGhgZ89913yMjIQGFhIdRqNQICAjBz5kwsW7YMISEhDGgi6kUY03JgSPcQX19fNDU1wdfXFxEREXjppZegVCoBALwMgIh6G65/lgfXSfcQnU4HtVoNlUqFBw8eQKfTyd0lIqIu421B5cGRdA85c+YMjh07hqysLGRnZ0OlUmHatGmYOXMmf5ESUS/E45YcuARLAtevX0dWVha+/fZbVFZWQhAEvPbaa1i8eDHc3d271TaX2lBrXIJFxoixBKv2wV2T61or7Lq9PWrBkJZQU1MTTp48iezsbJw8eRKNjY2YMmUK9u7d2+U2eTCm1hjSZIwYIf2P7p7JddUWtt3eHrVgSMukuroahw4dQnZ2NnJzc7vcDg/G1BpDmowRJ6RrTK6rtrDp9vaoBUO6l+PBmFpjSJMxYoR0na7W5LpWFtbd3h614IVjRETUIV7wKg+GdC8nxi9kevJwvyB6MvB0NxERkZnizUyIiIjMFEOaiIjITDGkiYiIzBRDmoiIyEwxpImIiMwUQ5qIiMhMMaSJiIjMFEOaiIjITDGkiYiIzBRDmkTl5+eHMWPG6F8eHh7w9vZGaGgofv31V9G3V1JSgjFjxiAvLw8AEB0djblz55r02ebmZhw6dAh//fVXu3WamprwxRdf4MUXX4SnpycWLVqEkpISUfrelzxp+0Vru3btMrltos5iSJPoFi5ciNOnT+P06dM4deoU0tPToVKpsGjRIty8ebNHtx0TE4MdO3aYVPfcuXOIjo5GfX19u3WSkpKQkZGB9evXY//+/ejfvz/Cw8Nx//59sbrcZzxJ+8VDGo0G8fHx3e0eUbsY0iS6AQMGYPDgwRg8eDCcnJwwevRofPzxx6ivr8f333/fo9u2sbGBvb29SXU7um29VqtFSkoK3n33XUybNg1jx45FfHw8qqqqcPToUTG626c8KfsFAJSXl2Pp0qX47LPP4Obm1t3uEbWLIU2SsLBoeeCapaUlgJbTn5s2bcKsWbPg4+ODn3/+GQCQlZWFl19+Gc899xyCgoKwe/du6HQ6fTvFxcVYsGABvLy8EBAQgPPnzxts5/HTmmVlZYiMjIS3tzd8fHwQGRmJ27dvIy8vD2FhYQAAf39/bNu2rU2fi4qKUFdXhylTpujLrK2tMW7cOOTn54v0zfRtvXG/AIDCwkKo1WocPnwYnp6e4n0hRI/hoyqpx5WXl2PTpk2wsrKCr6+vvnzfvn1ISkqCo6MjRo0ahfT0dCQkJGDt2rXw8vJCcXEx4uLiUFZWhri4ONTU1CA0NBQTJkzAgQMHUFFRgdjY2Ha3W1NTg3nz5sHd3R179+6FQqFAXFwcli5digMHDiAhIQErV67EwYMH4e7ubrTfAODs7GxQ7uTkhFu3bon07fRdvXW/AFp+TPj5+Yn+nRA9jiFNoktOTkZaWhoAQKfTQavVYtSoUUhISMDQoUP19aZOnYpp06bp3+/cuRMREREIDg4GAAwfPhxarRarVq3CqlWrcPz4cdTV1WHz5s2ws7PD6NGjER0djRUrVhjtR25uLu7evYvPP/8cAwcOBAB8+umnOHDgALRaLezs7AAADg4OUKvVbT7/cE5SqVQalCuVSmi12q5+PX3Wk7JfEEmJIU2iCwkJQWhoKACgX79+sLe3h42NTZt6rq6u+v+vrq5GeXk5EhMTsX37dn15U1MTmpqacP36dRQXF2P48OH6gygATJw4sd1+FBcXY8SIEfoDMQCMHDkSq1evNunfoVKpALTMTbcOaq1WCysrK5PaoEeelP2CSEoMaRKdra2twYG2PQ9DEGg56ALAmjVrMHXq1DZ1nZ2dkZOT06ZcoVC02/6//c0UQ4YMAQBUVFTA2tpaX15RUYGnn366W233RU/KfkEkJV44RmZh0KBBGDRoEEpLS+Hq6qp/Xb16FVu3boVOp4OHhwdKSkpQXV2t/1xBQUG7bbq7u6O0tBR3797Vl127dg2TJk3ClStXIAjCv/Zp7NixsLa2NrgIqba2FpcuXYKPj083/rVkKnPcL4ikxJAmsyAIApYsWQKNRoO0tDSUlpbixIkTiImJAdByVfUrr7wCR0dHvPfee7h8+TLOnz+PjRs3tttmcHAwBg4ciPfffx9FRUW4dOkSYmJi4OrqCnd3d/18Y1FREWpqatp8XqlU4p133kF8fDx++OEHXL58GVFRUXB2dkZAQEDPfBFkwBz3CyIpMaTJbISGhiI2NhYZGRmYOXMm1q1bh+DgYGzevBkAYGVlhbS0NCgUCrz11ltYs2YNlixZ0m57AwYMQHJyMgDg7bffRlhYGIYMGYIdO3ZAEASMHTsWfn5+iIqKQmJiotE2li9fjpCQEHz00UeYO3cumpubsWfPnjYXk1HPMcf9gkgqQrMpK/eJiIhIchxJExERmSmGNBERkZliSBMREZkphjQREZGZYkgTERGZKYY0ERGRmWJIExERmSmGNBERkZliSBMREZmp/wEJH3aUiB9LzwAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5553,6 +5770,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9659616902350692\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5563,13 +5781,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55525  1338]\n",
+      "[[55516  1347]\n",
       " [    8    90]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5581,6 +5799,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9851954411013654\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5591,13 +5810,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55453  1410]\n",
+      "[[55459  1404]\n",
       " [   12    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5609,18 +5828,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9733364402159577\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.976334860438355, 'sensitivity': 0.9086530612244899, 'specificity': 0.9764521745247349, 'precision': 0.06284272766023404, 'f1': 0.11752983138419433, 'auc': 0.9425526178746122, 'actual_accuracy': 0.9158536585365853}\n"
+      "{'accuracy': 0.9762892144326211, 'sensitivity': 0.9086530612244899, 'specificity': 0.9764064505917732, 'precision': 0.06274344860332737, 'f1': 0.11735233519449464, 'auc': 0.9783975534465761, 'pr_auc': 0.736401739446128, 'actual_accuracy': 0.9170731707317072}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -5634,22 +5854,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.976334860438355,\n",
+       "{'accuracy': 0.9762892144326211,\n",
        " 'sensitivity': 0.9086530612244899,\n",
-       " 'specificity': 0.9764521745247349,\n",
-       " 'precision': 0.06284272766023404,\n",
-       " 'f1': 0.11752983138419433,\n",
-       " 'auc': 0.9425526178746122,\n",
-       " 'actual_accuracy': 0.9158536585365853}"
+       " 'specificity': 0.9764064505917732,\n",
+       " 'precision': 0.06274344860332737,\n",
+       " 'f1': 0.11735233519449464,\n",
+       " 'auc': 0.9783975534465761,\n",
+       " 'pr_auc': 0.736401739446128,\n",
+       " 'actual_accuracy': 0.9170731707317072}"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5668,7 +5889,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
@@ -5687,12 +5908,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Next, we try Random Forest for the pipeline, CV 5 fold. We try some tuning with different tree depth, and naive/smote sampling"
-   ]
-  },
+    "# Run pipeline with SVM models\n",
+    "## We try linear SVM, with both naive/smote sampling, and different C regularization values (C=1 default, C=2, C=0.5)\n",
+    "### The lower the C, the more the regularization, which is good for noisy dataset"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 45,
    "metadata": {
     "scrolled": true
    },
@@ -5706,13 +5929,13 @@
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
       "Oversampling is complete!\n",
-      "[[56759   104]\n",
-      " [   14    84]]\n"
+      "[[55839  1024]\n",
+      " [    6    92]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAERCAYAAACdPxtnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3deVxU1f/48dewiYBoKIsrKgkqLrhihktoLqSfxL3MFRNLXEhz30XcRQU09y3ElMjcK/tqpQkqH00+ZpmpiBu4o7GMyP394Y+JkQEHGUSd97PHfTyac8+ce+Z6mfec5d6jUhRFQQghhFEyKe4KCCGEKD4SBIQQwohJEBBCCCMmQUAIIYyYBAEhhDBiEgREnmTimHhZyLVYdIo9CJw5c4bx48fj7e1NvXr18Pb2Zvz48Vy4cKHIjnns2DHee+896tSpg4+Pj8HKDQ0Nxc3NjczMTIOVmZfo6Gjc3Nxwc3Pjjz/+0Jnn3LlzmjxXrlwpUPnbt28nODj4mfm8vb0ZM2ZMgcp+WlH9e2QbP3685jzk3Bo0aMB7771HWFgYjx8/Nvhx8xIbG4ubmxu//vrrCztmTleuXNF5PrK3t99+u1jqpcuNGzcYOnQoiYmJxV2V15ZZcR5869atzJo1i4YNGzJ8+HAcHR1JTExk48aNdOvWjTVr1tCoUSODH3fu3LmkpaURHh5OmTJlDFZut27deOuttzAze3Gn1cTEhH379lGzZs1c+3bv3v3c5a5YsYKGDRs+M9/SpUuxsbF57uNA0f175GRnZ0doaKhW2r1799i7dy+hoaFkZGQwevToIjn2y+rjjz+mdevWudItLCxefGXy8Ouvv3Lw4EEmTJhQ3FV5bRVbEDh16hQzZ86kd+/eTJ06VWtfx44d6d69O2PHjuX777/H1NTUoMe+d+8eDRo0oFWrVgYtt0KFClSoUMGgZT5Lo0aN2L9/P4GBgbn27dmzh9q1a/P7778X2fHr1q1b6DKK6t8jJ3Nzcxo3bpwrvW3btly9epWoqCijCwLOzs46z4kwLsXWHbRmzRpKlSrF559/nmufra0t48ePp1OnTqSkpGjS9+7dS7du3WjQoAHNmzdnypQp3L17V7M/NDSUd999l8OHD+Pr60vdunXx9vZmw4YNwL/N4KtXr7J7927c3NyIjo7WdK0kJCRo1eODDz6gb9++mtdnz55l0KBBNGnSBA8PDz788EOOHDmidfynu4MKW+dn6dixI5cuXcr1RX/q1Clu3LhBhw4dcr3nwIED9OnThwYNGlCnTh06dOjA5s2bNfuzz9GuXbtwc3PTqueqVavw9PSkefPm3LhxQ6s7aO7cubi5uWmdkwMHDuDm5qbz8+T17wFw6dIlRowYgZeXF/Xr1+ejjz7i+PHjud67adMmOnfuTP369dm0aZNe5+xpuloy27dvp2vXrnh4eFCvXj3ef/999u7dq9mf3aVz7NgxhgwZgoeHB56enkydOpW0tDRNPkVRWL16NW3atKFevXoMHDiQpKSkXMfT9/Pu27ePgIAAPDw8eOuttwgLCyM1NZVp06bRtGlTPD09mTx5MhkZGc91Lp6WnJzMxIkTad26NfXq1aNr164cOHBAK4+bmxvLly+nV69e1KtXj3nz5gFPunJGjx6Np6en5jOdOnVK671Hjx6ld+/eNGjQgEaNGuHn58f//vc/4Mk1l90CaNeuXa6WnDCMYgkCiqLwyy+/8NZbb1GyZEmdeby9vQkMDOSNN94AYPny5QQGBlK7dm1CQkL45JNP+O677+jXr5/WH92tW7eYNGkS3bt3Z8WKFbi7uzNnzhyOHDmCg4MDERER2Nvb4+XlRUREhN6/Ph8+fMjAgQMpUaIECxYsYMmSJZibm+Pv759nf6Uh6vwsb731FnZ2duzbt08rfffu3Zp9OR06dIhhw4ZRo0YNQkNDWbJkCRUrViQoKIgTJ04A5DpH2a5fv86OHTuYP38+Y8aMwcnJSavswMBAXFxcNF+Et2/fZsqUKXh5edG/f/9cdc/r3+P8+fN07dqVS5cuMW7cOObPnw/AgAEDOHr0qFYZCxYsoHfv3sybN++Z/5aZmZmaTa1Wc+PGDVatWsWRI0fo0qWLJl9ERARTpkyhVatWLF++nLlz52JmZsaYMWO4evWqVpmjRo2iZs2ahIWF8eGHH/LVV1/xxRdfaPYvXryYxYsX07FjR0JDQ3FxcWHSpElaZRTk806dOpUqVaoQFhZGs2bNCA0NpUePHqjVahYsWED37t3Zvn07GzduzPdcAGRlZWmdk+wt261bt+jevTsxMTEEBAQQEhJChQoVGDZsGN98841WWcuXL8fLy4slS5bw3nvvcffuXXr37s3JkycZO3YsCxcuxNTUlH79+mm+5C9fvszQoUOpXr06oaGhzJkzh9u3bzNo0CAePnxIt27dGDp0KAAhISF069btmZ9JPAelGNy+fVtxdXVVFixYoFf+e/fuKXXq1FHGjx+vlR4bG6u4uroqGzduVBRFUZYtW6a4uroqhw4d0uRJTU1V3N3dlZkzZ2rS3nnnHWX06NGa119//bXi6uqqXLp0Sav83r17Kx999JGiKIpy6tQpxdXVVYmLi9P6HMHBwcq5c+e0jv/o0SOD1/lpOes8bdo0pW3btpp9mZmZyttvv6188803yrZt2xRXV1clMTFRURRFWblypRIYGKhV1p07dxRXV1clPDw8z3Okq5668p0+fVqpXbu2snDhQmXYsGGKp6enkpycnOfn0FXGyJEjlSZNmij379/XpKnVaqVdu3ZKly5dFEVRlMTERMXV1VUZOXJkvmUriqKMGzdOcXV11bm98847yvLlyxW1Wq3JP3v2bGX27NlaZcTHxyuurq7Kjh07FEVRlJiYGMXV1VWZN2+eVr4PPvhA6dSpk6IoivLgwQPF3d1dmTVrllaeiRMnKq6ursqRI0cK/HmHDRumyZOUlKS4uroqPXr00Crfx8dH8ff3z/N8ZJeV15aenq4oiqLMnz9fcXd3z/V30bdvX6VZs2bKo0ePFEVRFFdXV6V79+5aeRYvXqy4u7srFy9e1PpMPj4+yqBBgxRFUZQ9e/Yorq6uyo0bNzR5zp8/r8ybN0+5fv26oih5/20KwymWMYHsPn59Z2ScOnUKtVpN586dtdKbNm1KxYoVOXbsGP369dOk5xxMLlmyJGXKlCE1NbVQda5Rowb29vZ88skn+Pj44OXlhaenZ54DVi+yzj4+PkRGRvK///2POnXqEBsby4MHD2jbtm2uFsKQIUMASE9P59KlS1y6dIn4+HgA1Gr1M4+V3T2Ul7p16+Lv78+KFSvIyspi+fLl2Nvb6/U5sh07doyWLVtia2urSTM3N6dTp06EhYXx4MEDTbqrq6teZZYtW5aVK1cCT1p1a9asIT4+nqlTp+YaHJ04caIm38WLF0lISND8In/6HD09caF8+fKa7p6TJ0/y6NEj3n33Xa08nTp1Iioq6rk+b87jOTg4AODh4aFV/htvvMH9+/efcUbgk08+oU2bNrnSsweGjx07Rt26dXF2dtba36VLFyZMmMD58+c1ExKe/neIiYnB1dWVSpUqaVoXKpWKd955hw0bNqBWq/Hw8MDKyoqePXtq/qYaN27M2LFjn1l3YTjFEgRKly6NtbV1rqZ1ThkZGaSkpGBvb6+5oMuVK5crX7ly5bTGDQAsLS21XpuYmBR6nrGVlRWRkZGsXLmS7777ji1btmBhYUG7du2YPn06pUqV0sr/IuvcuHFjHB0d2bdvH3Xq1GH37t20bt1aZ1/33bt3mTFjBj/88AOKomgNDupzPF2f52m+vr4sX76c0qVL06RJE70+Q07379/XGTiyj53zS1HfAGNmZqY1iN24cWP69etHQEAAGzdu1PpyTUxMZPr06Rw5cgQzMzNcXFzyDH5Pd2eqVCrNebx37x5Ari657C/vbAX5vNbW1nrVQR8VK1bMd2D//v37Omed6arX09fF3bt3SUhIwN3dXWfZd+/epUKFCmzZsoXVq1cTFRXFunXrsLKyomvXrowbN+6lmqX0Oiu2gWEvLy9iY2NJT0/XuX/fvn14eXnx008/Ubp0aeBJH+XTkpOTNeMGzyv7j+bplsnDhw+1XleuXJmgoCCOHDnCjh07GDBgAPv27SMkJCRXmUVd55xMTEzo0KED+/fvR61W88MPP9CpUyedeUePHs3JkydZv349p06dYt++fZpfvoagKApTp06lfPnyAMycObPAZZQuXZqbN2/mSk9OTgYwyDRSc3Nz5s6di4mJCePGjdMMpGZlZfHxxx+TnJxMVFQUp06d4ttvv9W0oAoi+8v/6Wsg58QAKNjn1fcL3hCeVa/8ruFSpUrRqFEjoqKidG7Z761VqxaLFy8mJiaGrVu30rlzZ7788kutiQqiaBVbEBg0aBD3799n4cKFufbdu3eP8PBwnJycePvtt6lfvz4WFhbs2rVLK9/x48e5fv16oe8lyP7FfP36dU3azZs3uXjxoub1/v37adasGcnJyahUKmrVqsXo0aOpXr26zhZNUdf5aT4+Ply5coVVq1ahKEqeg6RxcXG0bduWpk2ban5p/fTTT4B2S8DE5PkujYiICH799VdmzZrF559/zq5du/juu+8KVEaTJk34+eeftVpLmZmZ7N27l9q1a2NlZfVcdXuas7MzQ4YMITExkVWrVgFPvqAvXryIr68vderU0dzzkX2OsrKy9C6/QYMGlCxZkj179mil//jjj1qvX9TnLagmTZoQHx/P5cuXtdJ37tyJnZ0d1apVy/O9TZs25eLFizg7O1O3bl3NtnfvXjZs2IC5uTkbNmzgnXfeISMjA1NTUxo0aMCMGTOwsrLS/E0973Uo9Fds9wl4eHgwatQoQkJCuHDhAu+//z7lypXj/PnzbNy4kbt377Jp0ybMzMwoU6YMQ4YMISwsDHNzc9q0acOVK1dYtmwZ1apVK/SsgbfeegsrKyvmzp3LyJEjUavVrFy5UquLp2HDhiiKwtChQxk8eDClS5fml19+4a+//mLw4MG5yizqOj/Nw8ODihUr8sUXX9C5c+c8m9L16tVj9+7duLu74+TkxH//+1/WrFmDSqXSGoOwtbXlzz//5OjRo3h6eupVh4SEBBYuXIivry9eXl4A7Nq1i2nTptG4cWPKli2rVzkBAQH8/PPPfPTRRwwZMoQSJUqwefNmEhMTNf36hvLxxx+zY8cOVq9eTZcuXahcuTIVK1Zky5YtODk5YWtry+HDh/nyyy8BtGZ1PYuVlRXDhw9n/vz5WFpa0qJFC+Li4vjqq6+K7fMWxMCBA9m5cycDBgzg008/xc7Ojh07dhAbG0tQUFC+9+9kv7dfv34MHDiQsmXLcuDAASIjIxk5ciQqlYpmzZqxaNEihg4dSp8+fbCwsGD37t2kp6drpjZnj5P88MMPtGvXjipVqryQz25MijXMDh06lDVr1mBhYaG5GL788kuaNWvGzp07tforhw8fzvTp04mLi2PYsGGsWLGCDh06sHXrVp39pAVhY2NDeHg45ubmjBo1isWLF9OrVy+8vb01eRwcHFi3bh1ly5Zl5syZDB06lF9//ZXg4GCt6YU5FWWddfHx8eHRo0e5BqNzmjt3Lg0aNCA4OJgRI0Zw6NAhpk+fTsuWLYmLi9Pk8/f35+bNm3z66adcu3btmcfOyspi3LhxWFtbM378eE16UFAQaWlpTJkyRe/PUaNGDbZs2YKjoyNTpkxh7NixqFQqNm7cSIsWLfQuRx8lSpRg4sSJZGRkMGfOHODJdMfy5cszadIkRo8eTXx8POHh4bz55puaabT68vPzY8aMGfzyyy8EBAQQGxvL7NmztfK8yM9bEPb29kRGRlKvXj3mz59PYGAgN27cICwsjB49euT7XgcHB7Zu3Uq1atUIDg5m2LBhxMXFMW3aND799FMAatasyapVq3j06BETJkxg+PDhXLp0ifDwcJo2bQo8+YGWPfV07dq1Rf6ZjZFKKeyIqRBCiFeWdLgJIYQRkyAghBBGTIKAEEIYMQkCQghhxCQICCGEESvWRWWEEOJFUb1bSe+8yg8FW4nvVVbsQaAg/zDi9Zf9x5f+uHAP/BOvF0tTA9w1/QIfufEqKfYgIIQQL4R0fuskQUAIYRykJaCTBAEhhHGQGKCTBAEhhHEwlSigiwQBIYRxkO4gnSQICCGMg8QAnSQICCGMg4lEAV0kCAghjIPEAJ0kCAghjIOMCegkQUAIYRxkdpBOEgSEEMZBYoBOEgSEEMZBuoN0kiAghDAOMjtIJwkCQgjjIDFAJwkCQgjjIC0BnSQICCGMgwQBnSQICCGMg8QAnSQICCGMg8wO0kmCgBDCOMjKYjrJaRFCGAeVSv+tAC5cuICbm1uubfv27QCcPXuWvn374uHhQevWrVm7dq3W+7Oysli2bBktWrSgfv36DBo0iISEBK08higjLxIEhBDGwUSl/1YAf/75JzY2Nhw+fFhr69y5M3fu3GHAgAE4Ozvz9ddfM3LkSJYtW8a2bds07w8PDycyMpKgoCC++uorTE1N8fPzIyMjA8AgZeRHuoOEEMahiH7ynjt3DhcXF+zt7XPt27BhA+bm5kyfPh0zMzNcXFxISEhg1apV9OzZE7Vazbp16xgzZgytWrUCICQkBC8vL/bt20eXLl3Ytm1bocvIj7QEhBDGoYi6g/78809cXFx07jtx4gSNGzfGzOzf39uenp4kJiaSlJTE2bNnSU1NpVmzZpr9NjY21K5dmxMnThisjPxIS0AIYRwK8N2ekpJCSkpKrnRbW1tsbW210s6dO4ezszO9e/fm8uXLVK1alU8//RQvLy+SkpJ48803tfI7ODgAcP36dZKTkwFwdHTMlef69esABikjPxIEhBDGoQB9/Rs3biQsLCxXekBAAMOHD9e8Tk1N5cqVK9jZ2TF69Gisra3ZuXMngwcPZt26daSnp2NhYaFVRvbrjIwM0tLStNJy5lGr1QAGKSM/EgSEEMahAN08/fv3x9fXN1f6060AKysr4uLiMDc313wJ16lTh7///ps1a9ZgaWmZ64s4+7WVlRWWlpaatJxf4mq1GisrKwCDlJEfCQJCCKOgKkBLQFe3T16sra1zpbm6unLw4EEqV66s6a7Jlv3ayckJRVE0aTY2Nlp5sruAnJycCl1GfmRgWAhhFFQqld6bvk6ePEmDBg04ffq0Vvr//vc/atSoQZMmTYiLiyMzM1OzLyYmhqpVq2Jvb0/NmjWxsbHh2LFjmv0PHz7k999/p2nTpgAGKSM/EgSEEEahKCYH1alTh0qVKjFlyhTi4uL4+++/CQoK4uTJk3zyySd069aNtLQ0Jk6cyPnz59mxYwcbNmzA398feNJv/9FHHxESEsKBAwf4448/CAwMxNHRkXbt2gEYpIx8z4uS3ZYoJqp3KxXn4cVLRvnhCgDpj1OLuSbiZWJp+uy+7Wex+MxD77zqxaf0zpuUlMSiRYs4cuQIKSkpuLu789lnn2l+hcfHxzN79mzOnDmDvb09AwYMoF+/fpr3P378mJCQEKKjo0lLS6NRo0ZMmzaNypUra/IYooy8SBAQLxUJAkIXQwSBEqMb6J03Y9HJQh/vVSEDw0IIo2BiIr3fukgQEEIYBXmStG4SBIQQRqEgs36MiQQBIYRRkCCgmwQBIYRRUMn6kjpJEBBCGAVpCegmQUAIYRRMC7hYjLGQICCEMArSEtBNgoAQwihIENBNgoAQwihIDNBNgoAQwihIS0A3CQJCCKMgQUA3CQJCCKMgzw7STYKAEMIoSENANwmNz8GuVBmUH67k2rZPWanJ06v1fzi96gBpe85zbsMvBLw/ULNvWt/PdL5f+eEKFzb9qsk3uru/zjzvebbR5GnbsAWxobtJ23Oei5uPMvHD4dLsfUUc+r9DvNX4ba00RVFY/cUa2nt3xLPhW/j7DeXihYt5lnHp4iWaeHjy7Tc7i7q6r7yiWFnsdSAtgedQ36U2AO3Gf0hK6kNN+u2UuwD0bNWZLRPCWBS1ipHL/482DbwIDZhFSuoDNv0QxZp9kew/cUirzJqVXVg3ehFr9kdq0upVr8XPp2MYuyZYK+8fl88D4FWnKfuCN/PT6Ri6zRiCfZmyzBk0nir2FRm6dHxRfHRhIKdOnmLiuMk8vZzHyuWrWLdmPSM/G0HFihVYtXINHw/y55tdX1OqVCmtvIqiMG3KjFyLkAvdjO3LXV8SBJ5DvWq1uHEnmR/ifta5f/7Hk1i+axNjVwcBcPDUr1R1rMy7DVuy6Ycort66ztVb1zX5TUxMCAuYxU+nYwjeEvrvcarXYv/xQ8Se/a/O44zt+QmJydd4b1J/Mh5lAHD9TjL7Zm9m2Y51/J5wzlAfWRiIWq0mYvMWwpctp2TJkmRlZWn2/fPPP2xcv4mhw/zp0/dDABo2akiHtj588/UO+g3oq1VWZMRWrl299kLr/yozkSCgk3QHPYd61Wtx+uJZnfsaudbD2bESq/ZEaKV/NHc4feeN0PmewR0/oH712gSETdakmZqYUrOyC6cv6D4OgGul6vwUH6MJAACH/3cMExMT2jduVZCPJF6Qwz8fYe3qdQSOGcUHfXpr7Tv9Wzypqam0fufffzvb0rY0atKII4d/1cp79eo1wpaGM2GStPj0ZWKi0nszJvkGgTt37rBixQr8/Pzw8fGhTZs2dO7cmY8//pjVq1dz7969F1XPl0q96rWwKlGSI0t2kLbnPIlbjvN5z0+e7KtWCwAzU1MOLYoiY+8FLkcc45PO/XSWVcK8BNP7fsa6/V9p/XKvWeVNLC0s6dCkNZe+jEG97yK/Lv2WpjX/XSIv8eY1qthX1CqvmlMVAKo6PnttUfHiudd1Z+/3e+jT98Nc3RMJlxIAcq0LW6lSRS7//33ZZk6bRfuO7WjctHHRVvg1oirAf8Ykz+6g+Ph4Bg8ejLW1NY0bN6ZWrVpYWFigVqtJTk4mMjKSdevWsX79emrWrPki61ysVCoVtau48k96KmNWzeJy8jV8mnozZ9B4LC1KkPFITebjTHbOXM/yXRuZsXkxvm93ZPmIYG6n3GXbT7u0yuv9zn9wKFOOhVErtdKzg4mTnT2DF39OyRKWjOv1Kf83/ysaDevIn4l/8+WP0Wz4PIQJHwSwcveXOLxRjlWj5pGhzsDasvBrsgrDc3R0yHPfPw8fYmFhgbmFuVa6tbU1Dx/+o3n9zdc7+Puv8yxYPL/I6vk6kjEB3fIMArNnz8bb25vZs2frnF+blZXFpEmTCAoK4ssvvyzSSr5MVCoVnab053LyNf6+dgmAQ7/9ik1JK8b1/JQ5W8MwMzVj1d4I5kSGAU/GBKo5VWZa38BcQWCITx/2HT/I+avaM0D+79QROk3uz3cnfiLzcaamnPMbD/N5j08YvHgMG7/fTjWnKkzv+xnBg8bzMO0fJqydSxWHiqRmpBX9yRAGpSi6v6gURdH8Dd68eZNFCxYzfeZUbG1LkZLy4EVX85UlQUC3PLuDzp49y+DBg/O8wcLExITBgwdz5syZIqvcyygrK4uDp37VBIBs+48fwrqkldbrnH747y+4VqqOudm/v/IcypSjWa2GbD2Ue3pf0t2b7In9URMAAB6m/cOvZ+Ko71JLkzZ90yJKd6lNbb93cOzpQfjODTjZ2XPngXF21b3KbErZoFarefTokVZ6amoqNqVsAJg9cw4NGzWgtXdrMjMzycp6DDy5Lh8/fvyiq/xKUan034xJnkHA3t6eP//8M983nz59mjJlyhi8Ui+z8mUd+dinD+VK22mllyxhCcClpCsAWJhpN+nNTc1QodKaDdK+cSseZz1m59Hvcx2nRV1PerX+T670kiUsuXX/yVTUJm4evOfZhnR1Omcv/0Vqehruzm6YmZpx6m/jCs6vgyrOVVAUhatPzfi5cuUqVas6A3Dwx4P8dPBnGtVrQqN6TWjV/B0Apk+ZQaf2nV94nV8lcp+Abnl2Bw0cOJBJkyZx9uxZmjZtipOTk9aYwLFjx9i4cSOjRo16kfUtdiXMLVgVOA9ry5IsiV6jSe/Wwoc/E/9m59HvSctIp0erThw5c1yz/z3PNhw/9xuPs/79tda0ZgPOXj7Pgxz3GmRr08CL8b0+5dBvR0m6exMAxzfsedu9McGRT6aRtm3oRWDXj6n0YRPUj57MFR/2fn8epD7k0G9Hi+Tzi6Lj4VGfEiVKcPDHgwz0GwBAyv0U4o7H4f/pEAC2bNPuek1NTWPwgI8Z+qk/bdu1QeRNHhuhW55BoE+fPpQsWZKVK1eyevVqreioKArVqlVj0qRJ9OjR44VU9GVx6UYiW/5vB7MGfE6WonD28l/0aNmJbl4+dJnux4PUhwRHhjK972ek/POAn07H0Kv1f2hVrxk+k7RnCNWp6safV/7WeZyVe75k2H/6sydoIzO+DKGEuQXTPgrkdspdQnesB+DLA9FM6B3A+jGLWbs/kjYNvBjaqS9jV8/m3sP7RX4uhGFZWVvxQZ/ehC0Nx0RlgnPVKqxeuRZrG2u6dvcFwL2Ou9Z7sscEKlSsQA3XGi+8zq8SI/uBr7d8bxbr2rUrXbt25fbt2yQlJZGWloalpSXly5fHzs4uv7e+1vwWjWHKRyMZ5etH+bIOnL18nm4zh7Dr6A8ABEUs5f4/DxjeZSCf9xzKuSsX6TZzCN89dZewQ5my/HVV9yMBrt9OouVn3Zj/8SQ2jAnB1NSE7+N+ZvQXM/knPRV4MkXUZ1I/FvlPZeeM9STevMYnSyfwxe7NRfr5RdEZPioAlYmKjes3kZqaSv0G9QmaMzPX3cKi4Iytm0dfKuXp+9ZfdAXerVSchxcvGeWHJ2Mq6Y9Ti7km4mViaVr4Kc+1lvronffsyL3PdYyLFy/StWtXJk6cqOkluXLlCrNmzeL48eNYWlri6+tLYGAgZmb//gaPiIhg3bp13Lx5k1q1ajFp0iTq1aun2W+IMvIinWRCCKNQ1APDjx49YsyYMaSm/vsDRq1W4+fnh0qlYuvWrcyaNYuoqChCQ/99PEx0dDQLFixg1KhRREdHU61aNQYPHszt27cNVkZ+JAgIIYxCUU8RDQ0NxdraWivtu+++4+rVq8ybNw9XV1fatGnDmDFj2LRpE2FzASoAACAASURBVOnp6QCsXLmSDz/8kM6dO/Pmm28ye/ZsbGxs2Lp1q8HKyI8EASGEUTAxMdF7K6jjx4/z1VdfMW/ePK30EydOUKtWLUqXLq1J8/T0JDU1lTNnznDr1i0uXbqEp6enZr+pqSmNGjXixIkTBisjP/IUUSGEUShIN09KSgopKSm50m1tbbG1tc2Vd+zYsUyePJny5ctr7UtKSsLJyUkrzcHhyaNDbty4gaXlk/uLdOWJj483WBn5yXeKqL4iIiKenUkIIYpRQbp5Nm7cSFhYWK70gIAAhg8frpU2ffp0PDw86Nw598166enpubqILCwsAMjIyCAtLU0rLWee7HUiDFFGfvIMAlWqVHnmm4UQ4lVRkJZA//798fX1zZX+dCtgx44dnDhxgl27duXKC2BpaZnrizj7tZWVleZXvK48VlZWBisjP3kGgTlz5jzzzUII8cooQBDQ1e2jy9dff83t27dp3bq1VvrMmTPZsGEDTZo04exZ7TVBkpOTgSfdNxUqVNCkubm5aeVxdHTU5CtsGfnRe0zg1q1bXLhwQeshVWq1mt9++40RI3QvliKEEC+LolgsZuHChZoZOtnatWtHQEAAnTp14tSpU0RHR5OSkqIJKrGxsVhbW1O7dm0sLCyoVq0ax44do0WLFgA8fvyYuLg4evXqBUCTJk0KXUZ+9AoCO3bsYMqUKTx69AiVSoWiKJqmVcWKFSUICCFeekVxx3Bev7Tt7OyoWLEi5cqVY8mSJQQGBvL5559z7do1Fi1axMCBAzV9+IMGDSIoKIhq1apRr1491q5dyz///KO52axt27aFLiM/egWBVatW0alTJ/z9/enZsyfr168nKSmJGTNm5BokEUKIl1FxPDaiRIkSrFmzhpkzZ9KzZ09sbW3p1asXw4YN0+Tp2bMnDx8+ZOnSpdy7dw93d3fWrVuneTSPIcrIj16Pjahbty47duzAxcWFvn37MmTIEFq0aMH333/PF198QXR09POcnycVkMdGiBzksRFCF0M8NqLJuu565z0+KKrQx3tV6HVXhIWFhabZ4ezsrFlnoE6dOiQkJOT3ViGEeCnIojK66RUE6tSpo7n9uEaNGhw5cgSAv/76C3Nz8/zeKoQQLwVZVEY3vcYEhg8fzuDBg7Gzs8PX15fw8HDat29PcnIy7733XlHXUQghCk0WldFNryDQuHFjvvvuO9RqNXZ2dmzZsoWtW7dSvnx5+vbtW9R1FEKIQjO2X/j60vs+gZxTod58800mT55cJBUSQoiiIDFAN72CQL9+/fLdv2nTJoNURgghioq0BHTTKwg8fUNEZmYmCQkJXLhw4ZkBQgghXgYSBHTTKwgsWLBAZ3pISIjOx60KIcTLRoKAboUaLu/evTt79uwxVF2EEKLImJio9N6MSaEWlTl//jzFvE69EELoR1oCOukVBMaOHZsr7eHDhxw9epQOHToYvFJCCGFo0h2km15B4Pr161qvVSoV5ubm+Pn5MXDgwCKpmBBCGJKR9fLoTa8gsHnz5jz33bx5M9fSZ0II8bKRloBueg0M16pVizt37uRKv3btGu3atTN4pYQQwtBMTUz03oxJni2BvXv38ssvvwCgKApBQUGUKFFCK8+VK1f0WsNSCCGKm3F9tesvzyDg4eFBRESEZvbPlStXMDP7N7tKpcLa2lrWIhZCvBJMpDtIpzyDQIUKFYiIiACgb9++hIeH67XwshBCvIxkTEA3vVpImzdv5vjx4xw8eFCTNnnyZH766aciq5gQQhiSiUql92ZM9AoC27dvZ+TIkVy9elWTplarGTZsGHv37i2yygkhhKHIojK66TVFdO3atUybNk1r5fr58+fTqFEjVqxYgY+PT5FVUAghDMHMyL7c9aVXS+D69es0a9YsV3rz5s25fPmywSslhBCGJi0B3fQKAhUrViQmJiZXelxcHA4ODgavlBBCGJqMCeimV3dQnz59CA4O5vLly9SvXx+A+Ph4Nm3axPDhw4u0gkIIYQjG9dWuP72DQHp6Ohs2bGD16tUAODg4MGbMGNq3b1+kFRRCCEMwtl/4+tL7UdJ+fn74+flx9+5dzM3NOXPmDJGRkcydO5f4+PiirKMQQhSasT0OQl8FWk/gwYMH7Nq1i61bt3Lx4kUsLCzw9fUtqroJIYTBSEtAN71CY3x8PJMmTaJly5YEBwdz8eJF+vXrx8GDB5k5c2ZR11EIIQpNVYCtIJKSkvjss8/w9PSkQYMGDBkyhL/++kuz/+zZs/Tt2xcPDw9at27N2rVrtd6flZXFsmXLaNGiBfXr12fQoEEkJCRo5TFEGXnJMwikp6cTFRVFt27d6NGjB/v376ddu3asXLkSU1NTevTogZ2dnV4HEUKI4lYUs4MUReHjjz/mxo0brF27lqioKCwtLRkwYAD//PMPd+7cYcCAATg7O/P1118zcuRIli1bxrZt2zRlhIeHExkZSVBQEF999RWmpqb4+fmRkZEBYJAy8pNnd1DLli3JysqiZcuW+Pv707p1aywsLDQfXAghXiVF0R1069YtXFxcGDFiBNWqVQPg008/5f333+fcuXPExsZibm7O9OnTMTMzw8XFhYSEBFatWkXPnj1Rq9WsW7eOMWPG0KpVKwBCQkLw8vJi3759dOnShW3bthW6jHzPS147MjMzsba2xtLSkkePHpGZmWmo8yaEEC9cUdwsZm9vT0hIiCYA3Lp1i7Vr1+Lg4ICrqysnTpygcePGWk9g9vT0JDExkaSkJM6ePUtqaqrWzbg2NjbUrl2bEydOABikjPzk2RI4cuQI+/fvJyoqiujoaCwtLWnVqhU+Pj5Gd0edEOLVZ1qA762UlBRSUlJypdva2ub5NOXx48fzzTffYGFhwYoVK7C2tiYpKYk333xTK1/2DbbXr18nOTkZAEdHx1x5spf1NUQZ+ckzCJQsWRJfX198fX25dOkSUVFRfPvtt3z33XeoVCrWrl3L4MGDcXFxeeZBhBCiuBWkO2jjxo2EhYXlSg8ICMjzBlk/Pz/69OnDli1bGDZsGBEREaSnp2u60bNlv87IyCAtLU0rLWcetVoNYJAy8qPXFNGqVasyZswYPvvsMw4dOkR0dDS7du1ix44dNGvWjPXr1+tTjBBCFJuCBIH+/fvrnP6e35oqNWrUAGD27Nn89ttvbN68GUtLy1xfxNmvrayssLS01KTl/BJXq9WaVRsNUUZ+CnSfgImJCd7e3nh7e3Pnzh2++eYboqOjC1KEEEIUi4J0Y+fX7ZNTcnIysbGxdOrUSVO+iYkJb775JklJSTg5OWm6a3K+B8DJyUkzySY5ORkbGxutPNldQIYoIz/PfQudnZ0dfn5+7Nmz53mLEEKIF8akAJu+rl+/zpgxY4iLi9OkPXr0iN9//x0XFxeaNGlCXFyc1sSamJgYqlatir29PTVr1sTGxoZjx45p9j98+JDff/+dpk2bAhikjGedFyGEeO0VxeygunXr4unpydSpUzlx4gTnzp1j3Lhx3Lt3jwEDBtCtWzfS0tKYOHEi58+fZ8eOHWzYsAF/f3/gSb/9Rx99REhICAcOHOCPP/4gMDAQR0dH2rVrB2CQMvI9L0oxT/pXvVupOA8vXjLKD1cASH+cWsw1ES8TS9Nn920/y+jDY/XOu8hrvt5579+/z8KFCzl48CAPHjygcePGjB07Fjc3N+DJExdmz57NmTNnsLe3Z8CAAfTr10/z/sePHxMSEkJ0dDRpaWk0atSIadOmUblyZU0eQ5SRl2IPAkII8SKMOTJO77wL355XhDV5uRRoYFgIIV5VJrKigE7FHgSk2S9yym72y3UhcjJEd5Dc5KpbsQcBIYR4EeRR0rpJEBBCGAUTlUyG1EWCgBDCKEhLQDcJAkIIo6CS26J0kiAghDAK0hLQTYKAEMIoyOwg3SQICCGMgkruE9BJgoAQwiiYmsiYgC4SBIQQRsFEBoZ1kiAghDAKMiagmwQBIYRRkCCgmwQBIYRRkAfI6SZBQAhhFKQloJsEASGEUTCVZwfpJEFACGEU5AFyukkQEEIYBekO0k2CgBDCKMgdw7pJEBBCGAV5gJxuEgSEEEZBBoZ1kyAghDAKKgkCOkkQEEIYBRkT0E2CgBDCKMiYgG4SBIQQRkGmiOomQUAIYRTk2UG6SRAQQhgFExPT4q7CS0mGy4UQRsEEld5bQTx8+JDg4GC8vb1p0KABXbt25ccff9Tsv3LlCv7+/jRs2JDmzZuzYMECMjMztcqIiIigTZs21KtXj169enH69Gmt/YYoI+/zIoQQRkClUum9FcSECRM4dOgQQUFB7Nixg3bt2hEQEMDRo0dRq9X4+fmhUqnYunUrs2bNIioqitDQUM37o6OjWbBgAaNGjSI6Oppq1aoxePBgbt++DWCQMvI9L4qiKAX6xAaW/ji1OA8vXjKWplaAXBdCW/Z1URgRf63XO2+fGgP1ynfz5k28vLxYuXIlrVu31qT379+fcuXK0bp1ayZMmMCRI0coXbo0ANu3byc4OJijR49iaWlJ+/btadOmDWPHjgXg8ePHvPvuu3Tr1o1hw4axa9euQpeRH2kJCCGMQlG0BEqWLMnq1atp3LhxrmPdv3+fEydOUKtWLc2XN4CnpyepqamcOXOGW7ducenSJTw9PTX7TU1NadSoESdOnAAwSBn5kYFhIYRRKEhff0pKCikpKbnSbW1tsbW11by2sbGhZcuWWnlOnTpFTEwMkydP5vDhwzg5OWntd3BwAODGjRtYWloC6MwTHx8PQFJSUqHLyI8EASGEUTBR6T87aOPGjYSFheVKDwgIYPjw4Xm+7++//yYgIID69evTq1cvDhw4gLW1tVYeCwsLADIyMkhLS9NKy5lHrVYDkJ6eXugy8iNBQAhhFArSzdO/f398fX1zpedsBTzt+PHjBAQEUKFCBVauXIm5uTmWlpa5voizX1tZWWl+xevKY2X1ZBzEEGXkR8YEhBBGQVWA/2xtbalUqVKuLa8gsHPnTgYOHIi7uzubN2+mTJkywJMumuTkZK282a+dnJyoUKGCVlrOPI6OjgYrIz8SBIQQRqGopoju2rWLsWPH0rFjR1auXImNjY1mX5MmTTh79qzW+EJsbCzW1tbUrl0bOzs7qlWrxrFjxzT7Hz9+TFxcHE2bNjVYGfkxnT59+vQCfWIDy1QeFefhxUvGzMQckOtCaMu+Lgrjz3tn9G4J1Hqjjl5l3rhxAz8/Pxo1asT06dPJyMggNTWV1NRUHj16hJubGzt37iQmJgY3NzdOnz5NUFAQ/fr1o3nz5sCTvvvQ0FAcHR0xNzdn0aJFnDt3juDgYEqWLImzs3Ohy8iPjAkIIYxCQQaG9fX999+TlpZGTEwMLVq00NrXsGFDIiMjWbNmDTNnzqRnz57Y2trSq1cvrbn7PXv25OHDhyxdupR79+7h7u7OunXrsLOzA6BEiRKFLiM/crOYeKnIzWJCF0PcLLYzIUrvvP9x7l7o470qpCUghDAKsqiMbhIEhBBGQRaV0U2CgBDCKEhLQDcJAkIIoyAri+kmQUAIYRSKYnbQ60CCgBDCKMjykrpJEBBCGAXpDtJNgoAQwijIwLBu8uygYnDo/w7xVuO389x/9+5dWr/9DivCvniBtRLF4fHjx6xfu4FO7f9Ds0bN6dOrL7Exx3TmleuicIrq2UGvOgkCL9ipk6eYOG4y+d2oPS94Pnfv3nuBtRLFZcO6jYQuCaNL1/dZErqYylUq8emQYZz9/Y9ceeW6KBxTlanemzGR7qAXRK1WE7F5C+HLllOyZEmysrJ05jt08CeOHomhRIkSL7iGojjs+nY3Hd/rwGB/PwCaeDbhZNwpvoneQa3a4zX55LooPOkO0k1aAi/I4Z+PsHb1OgLHjOKDPr115nnw4AGzZwYzemwgFhaFf2qiePmp1Wqsczx62NTUFJtSNqTcv69Jk+vCMKQ7SDcJAi+Ie1139n6/hz59P8zzIlu8IITqLtX5T5f/vODaieLS64Oe7Nm5h9ijsTx48ICIzVv4+/zfdOjYXpNHrgvDKMiiMsZEuoNeEEdHh3z3x8YcY9+e/UR9u/0F1Ui8DHr27sHx2OMM8RuqSQsYMYzW3q0BuS4Mydh+4esrzyDQqlUrvU/aoUOHDFUfo5SWlsbMabP4JGAolSpVLO7qiBdEURQ++XgYF/6+wKSpE6hWvTqxR2P5YvlKStmW4n3f/8h1YUAm0vGhU55BYOzYsUycOJHq1avTpk2bF1knoxO2NBwbGxs+6NObzMxMTXqWkkVmZiZmZtJgex2d/O8pTv73JAsWz6ddh3cBaNK0MZmPMwlZtITEy4lyXRiQiUqCgC75Lipz4MABAgMD2b59OzVr1iySChjj4iErwr5g4/pNxMT9CkDHtj5cu3Y9z/y//X7yRVWt2BnTojL79uxj/OcT+e7HfTiVd9Kk/3ToZ0Z8OpIyZcpw717eU0KN8boojGM3f9E7b1P7Fs/O9JrI96dE27Ztee+99wgJCWHlypUvqk5GZ9nypajVaq20wQOG0PG9DnTr0bWYaiWKmnNVZwBOnjxFx/IdNOnxp+MxMzMjZNkiSlhqTwmV6+L5GduAr76e2Z6cPHkyV65ceRF1MVo1XGvkSjM1NcHe3h73Ou7FUCPxItR2r02LVi0InjmHlPspVKtejRPHTrB+zQY+/OgDGjZumOs9cl08PwkCuj0zCNjY2BRZV5AQxm5hyHzCloazeuUaUu6nUMW5CuMmjqVHL+NZ4/aFkdlBOslC8+KlYkxjAkJ/hhgTiLt1VO+8jcq9VejjvSpkeoEQwijI7CDdJAgIIYyCjAnoJkFACGEU5I5h3SQICCGMgrQEdMszCPTp00fvQiIiIgxSGSGEKCoSBHTLc6SkSpUqem9CCPGyM1GZ6L09r5UrV/LBBx9opV25cgV/f38aNmxI8+bNWbBggdZjQODJD+k2bdpQr149evXqxenTpw1eRl7ybAnMmTNHrwKEEOJVUNRjAhEREYSEhNCgQQNNmlqtxs/Pj2rVqrF161YSExOZOHEiZmZmBAYGAhAdHc2CBQuYNWsWtWrVYs2aNQwePJh9+/ZRtmxZg5SRH73vE7h16xYXLlzg8ePHWh/wt99+Y8SIEQU+YdlkPrjISe4TELoY4j6Bs/d+0ztvrTL19c6blJTEtGnTiI2NxcnJiTJlyhAZGQnArl27mDBhAkeOHKF06dIAbN++neDgYI4ePYqlpSXt27enTZs2jB07Fniy7vS7775Lt27dGDZsmEHKyI9eA8M7duxgypQpPHr0CJVKhaIomqhasWLFQgUBIYR4EYpqTODMmTNYW1uzc+dOwsPDSUhI0Ow7ceIEtWrV0nx5A3h6epKamsqZM2dwdnbm0qVLeHp6avabmprSqFEjTpw4YbAy8qNXEFi1ahWdOnXC39+fnj17sn79epKSkpgxYwbDhw/XpwghhChWBekOSklJISUlJVe6ra0ttra2Wmne3t54e3vrLCcpKQknJyetNAeHJwtM3bhxA0tLSwCdeeLj4w1WRn70CgKJiYmEhoZStWpV3NzcuHPnDt7e3mRmZvLFF1/w/vvv61OMEEIUm4K0BDZu3EhYWFiu9ICAgAL98E1PT8fa2lorzcLCAoCMjAzS0tK00nLmyX6ysCHKyI9eQcDCwkJzAGdnZ/78809atGhBnTp1tJo+QgjxsirIrJ/+/fvj6+ubK/3pVsCzWFpa5voizn5tZWWl+RWvK4+VlZXBysiPXmelTp06bN26FYAaNWpw5MgRAP766y/Mzc31KUIIIYqZSu/N1taWSpUq5doKGgScnJxITk7WSst+7eTkRIUKFbTScuZxdHQ0WBn50SsIDB8+nIiICNauXUvnzp05c+YM7du3Z9SoUbRt21afIoQQolipVCq9N0Np0qQJZ8+e1RpfiI2Nxdramtq1a2NnZ0e1atU4duyYZv/jx4+Ji4ujadOmBisjP6bTp0+f/qxMFSpUwNfXl6pVq+Lk5MQ777zDgwcPaNOmDSNGjMDU1FSvE6JLpvLoud8rXj9mJk9alnJdiJyyr4vCuKe+jUrP/94oUe65jnHgwAHu379P9+5P1oNwdnZm586dxMTE4ObmxunTpwkKCqJfv340b94ceNLdHhoaiqOjI+bm5ixatIhz584RHBxMyZIlDVJGfmQ9AfFSkfsEhC6GuE/g4oNzeuetVsr1uY4xfvx4EhISNPcJACQkJDBz5kyOHz+Ora0t3bp1Y+TIkZiY/NsRs27dOjZu3Mi9e/dwd3dn0qRJuLu7G7SMvOgVBPr165fv/k2bNj3zQHmRP3aRkwQBoYshgsClh3/pnbeqTe4lX19Xes0OenpwITMzk4SEBC5cuPDMACGEEC8DE/2GQI2OXkFgwYIFOtNDQkJ03lAhhBAvG1lPQLdChcbu3buzZ88eQ9VFCCGKjL6Dwsb2yOlCLSpz/vx5inlcWQgh9CItAd30CgLZT6bL6eHDhxw9epQOHToYvFJCCGFoxvYLX196BYHr169rvVapVJibm+Pn58fAgQOLpGJCCGFIEgR0K/R9Ajdv3sTe3v653y9TAUVOMkVU6GKIKaI30hL1zutUsnKhj/eq0GtguFatWty5cydX+rVr12jXrp3BKyWEEIan/7ODjEme3UF79+7ll19+AUBRFIKCgihRooRWnitXruj1lDohhChuxvXVrr88g4CHhwcRERGa2T9XrlzBzOzf7CqVCmtra1mLWAjxipAwoIteYwJ9+/YlPDy8wI9R1Yf0/YqcZExA6GKIMYHk9Gt653WwrFDo470q9BoT2Lx5M8ePH+fgwYOatMmTJ/PTTz8VWcWEEMKQ5GYx3fQKAtu3b2fkyJFcvXpVk6ZWqxk2bBh79+4tssoJIYShSBDQTa/uoA4dOuDn50ePHj200r/66iu+/PJLdu3a9dwVkGa/yEm6g4QuhugOupV+Q++85Sydnp3pNaFXS+D69es0a9YsV3rz5s25fPmywSslhBCGVhwri70K9AoCFStWJCYmJld6XFwcDg4OBq+UEEKIF0Ovx0b06dOH4OBgLl++TP369QGIj49n06ZNDB8+vEgrKIQQhmBsff360vuxEWvXrmXDhg3cvHkTAAcHB/z9/Wnfvj3lyj3fepwgfb9Cm4wJCF0MMSZwN+Om3nnfKPH8j8J51RT42UF3797F3NycM2fOEBkZyY8//kh8fPxzV0D+2EVOEgSELoYIAvfUt/TOW8bi+X/YvmoKtJ7AgwcP2LVrF1u3buXixYtYWFjg6+tbVHUTQggDku4gXfQKAvHx8WzdupW9e/eSlpaGSqWiX79++Pv7Y2dnV9R1FEKIQpMQoFueQSA9PZ3du3cTGRnJmTNnsLa2pl27dvj4+DBs2DB69OghAUAI8QqRMKBLnkGgZcuWZGVl0bJlS/z9/WndujUWFhYAsqSkEOKVY2zz//WV530CmZmZWFtbY2lpyaNHj8jMzHyR9RJCCIOSx0bolmdL4MiRI+zfv5+oqCiio6OxtLSkVatW+Pj4SEQVQryC5HtLF72miF66dImoqCi+/fZbbt68iUqlokuXLgwePBgXF5dCVUCmAoqcZIqo0MUQU0QfPrqvd14b89KFPt6rokD3CWRlZXHo0CGio6M5dOgQjx8/plmzZqxfv/65KyB/7CInCQJCF0MEgX8yU/TOa21m+LVTXlbPvdD8nTt3+Oabb4iOjmbPnj3PXQH5Yxc5SRAQuhgmCDzQO6+1WalCH+9V8dxBwFDkj13kJEFA6GKIIJCa+VDvvFZmNoU+3quiQHcMCyHEq0omtOhW7EHAEBFevH7kuhDixSj27iAhhBDFR69FZYQQQryeJAgIIYQRkyAghBBGTIKAEEIYMQkCQghhxCQICCGEEZMgIIQQRkyCgBBCGDEJAkIIYcQkCDzF29sbNzc3zVarVi0aN27MgAED+O9//2vw4yUkJODm5kZsbCwA48eP54MPPtDrvYqi8M0333D79u0882RlZbFs2TJatGhB/fr1GTRoEAkJCQapuzF53a6LnFauXKl32eL1I0FAh/79+3P48GEOHz7MTz/9xJYtW7C0tGTQoEFcu3atSI89adIkVqxYoVfemJgYxo8fT1paWp55wsPDiYyMJCgoiK+++gpTU1P8/PzIyMgwVJWNxut0XWSLiIggJCSksNUTrzAJAjqULFkSe3t77O3tcXBwwNXVlRkzZpCWlsYPP/xQpMcuVaoUZcqU0Svvsx77pFarWbduHQEBAbRq1YqaNWsSEhLCrVu32LdvnyGqa1Rel+sCICkpiaFDh7Jw4UKqVatW2OqJV5gEAT2ZmT154GqJEiWAJ90Dc+fOpVOnTjRt2pSff/4ZgKioKDp27EjdunXp0KEDq1atIjMzU1POuXPn6NevHx4eHrRr145jx45pHefpZn9iYiLDhw+ncePGNG3alOHDh3Pjxg1iY2MZOHAgAG3atCE0NDRXnc+ePUtqairNmjXTpNnY2FC7dm1OnDhhoDNj3F7F6wLgzJkzWFtbs3PnTurXr2+4EyJeOcX+KOlXQVJSEnPnzsXKyoqWLVtq0r/88kvCw8MpV64c1atXZ8uWLSxZsoQpU6bg4eHBuXPnmDVrFomJicyaNYsHDx4wYMAA6tWrx7Zt20hOTmby5Ml5HvfBgwf06dMHFxcX1q9fj7m5ObNmzWLo0KFs27aNJUuWMGrUKLZv365zreekpCQAHB0dtdIdHBy4fv26gc6O8XpVrwt4Eqy8vb0Nfk7Eq0eCgA5r165l06ZNAGRmZqJWq6levTpLliyhQoUKmnxeXl60atVK8/qLL77A39+fzp07A1C5cmXUajWfffYZn332Gd999x2pqanMmzeP0qVL4+rqyvjx4xk5cqTOeuzZs4f79++zePFi3njjDQBmz57Ntm3bUKvVlC79ZDFsOzs7rK2tc70/u0/YwsJCK93CwgK1Wv28p8doXkwa7QAAAn5JREFUvS7XhRA5SRDQoUePHgwYMAAAExMTypQpQ6lSudccdXZ21vz/nTt3SEpKYunSpYSFhWnSs7KyyMrK4tKlS5w7d47KlStr/kgBGjRokGc9zp07R5UqVTR/6ABVq1Zl7Nixen0OS0tL4MnYQM5AoFarsbKSRVsK6nW5LoTISYKADra2tlp/yHnJ/pKFJ3/UAOPGjcPLyytXXkdHR3bt2pUr3dzcPM/y89unj/LlywOQnJyMjc2/a6YmJyfz5ptvFqpsY/S6XBdC5CQDwwZStmxZypYty+XLl3F2dtZsFy5cYNGiRWRmZlKrVi0SEhK4c+eO5n3x8fF5luni4sLly5e5f/++Ju3ixYs0adKE8+fPP3PN1Jo1a2JjY6M1yPjw4UN+//13mjZtWohPK/T1Ml4XQuQkQcBAVCoVQ4YMISIigk2bNnH58mUOHjzIpEmTgCezct577z3KlSvH6NGj+eOPPzh27Bhz5szJs8zOnTvzxhtv8Pnnn3P27Fl+//13Jk2ahLOzMy4uLpr+3rNnz/LgwYNc77ewsOCjjz4iJCSEAwcO8McffxAYGIijoyPt2rUrmhMhtLyM14UQOUkQMKABAwYwefJkIiMj8fHxYdq0aXTu3Jl58+YBYGVlxaZNmzA3N6d3796MGzeOIUOG5FleyZIlWbt2LQAffvghAwcOpHz58qxYsQKVSkXNmjXx9vYmMDCQpUuX6ixjxIgR9OjRg6lTp/LBBx+gKApr1qzJNVgsis7LeF0IkU0WmhdCCCMmLQEhhDBiEgSEEMKISRAQQggjJkFACCGMmAQBIYQwYhIEhBDCiEkQEEIIIyZBQAghjJgEASGEMGL/D3U4+gX5jSWaAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5724,6 +5947,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9925625034319867\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5732,13 +5956,13 @@
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
       "Oversampling is complete!\n",
-      "[[56755   108]\n",
+      "[[55718  1145]\n",
       " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5750,6 +5974,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9803101762309482\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5758,13 +5983,13 @@
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
       "Oversampling is complete!\n",
-      "[[56764    99]\n",
-      " [   16    82]]\n"
+      "[[55920   943]\n",
+      " [   12    86]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5776,6 +6001,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9742738274987466\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5784,13 +6010,13 @@
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
       "Oversampling is complete!\n",
-      "[[56789    74]\n",
-      " [   15    83]]\n"
+      "[[55859  1004]\n",
+      " [    9    89]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5802,6 +6028,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9867976629830308\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5810,13 +6037,13 @@
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
       "Oversampling is complete!\n",
-      "[[56727   136]\n",
-      " [   14    86]]\n"
+      "[[55837  1026]\n",
+      " [   13    87]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5828,18 +6055,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.972324358545979\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9979284256476415, 'sensitivity': 0.8597551020408163, 'specificity': 0.9981675254559205, 'precision': 0.45297531685554693, 'f1': 0.5918015092213355, 'auc': 0.9289613137483684, 'actual_accuracy': 0.9227642276422765}\n"
+      "{'accuracy': 0.9817701110578124, 'sensitivity': 0.8984897959183673, 'specificity': 0.9819144259008494, 'precision': 0.07939571693402717, 'f1': 0.14586285792871018, 'auc': 0.9812537057381382, 'pr_auc': 0.7203834954733284, 'actual_accuracy': 0.9097560975609754}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -5847,28 +6075,29 @@
     }
    ],
    "source": [
-    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'naive', 'RandomForest', 'Random Forest', 5)"
+    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'SVM_Linear', 'Linear SVM', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9979284256476415,\n",
-       " 'sensitivity': 0.8597551020408163,\n",
-       " 'specificity': 0.9981675254559205,\n",
-       " 'precision': 0.45297531685554693,\n",
-       " 'f1': 0.5918015092213355,\n",
-       " 'auc': 0.9289613137483684,\n",
-       " 'actual_accuracy': 0.9227642276422765}"
+       "{'accuracy': 0.9817701110578124,\n",
+       " 'sensitivity': 0.8984897959183673,\n",
+       " 'specificity': 0.9819144259008494,\n",
+       " 'precision': 0.07939571693402717,\n",
+       " 'f1': 0.14586285792871018,\n",
+       " 'auc': 0.9812537057381382,\n",
+       " 'pr_auc': 0.7203834954733284,\n",
+       " 'actual_accuracy': 0.9097560975609754}"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5879,8 +6108,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
+   "execution_count": 47,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -5890,16 +6121,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56625   238]\n",
-      " [   12    86]]\n"
+      "[[55845  1018]\n",
+      " [    6    92]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5911,6 +6140,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9925608883794096\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5918,16 +6148,34 @@
       "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
-      "Oversampling is complete!\n",
-      "[[56618   245]\n",
+      "Oversampling is complete!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:929: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
+      "  \"the number of iterations.\", ConvergenceWarning)\n",
+      "D:\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:929: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
+      "  \"the number of iterations.\", ConvergenceWarning)\n",
+      "D:\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:929: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
+      "  \"the number of iterations.\", ConvergenceWarning)\n",
+      "D:\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:929: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
+      "  \"the number of iterations.\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[55730  1133]\n",
       " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5939,6 +6187,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9802636986067839\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5946,16 +6195,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56649   214]\n",
-      " [   15    83]]\n"
+      "[[55928   935]\n",
+      " [   12    86]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5967,6 +6214,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9744771446731797\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -5974,16 +6222,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56716   147]\n",
-      " [   12    86]]\n"
+      "[[55867   996]\n",
+      " [    9    89]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5995,6 +6241,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9868098656025026\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6002,16 +6249,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 392\n",
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56634   229]\n",
+      "[[55841  1022]\n",
       " [   13    87]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6023,18 +6268,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9723848548265128\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9960148469891452, 'sensitivity': 0.874, 'specificity': 0.9962260169178553, 'precision': 0.2907145621267061, 'f1': 0.43481909283278497, 'auc': 0.9351130084589275, 'actual_accuracy': 0.9052845528455284}\n"
+      "{'accuracy': 0.9819035351885613, 'sensitivity': 0.8984897959183673, 'specificity': 0.982048080474122, 'precision': 0.07993256077219595, 'f1': 0.1467692968986059, 'auc': 0.9812992904176777, 'pr_auc': 0.7201142544636184, 'actual_accuracy': 0.9097560975609754}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -6042,28 +6288,29 @@
     }
    ],
    "source": [
-    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'smote', 'RandomForest', 'Random Forest with SMOTE Sampling', 5)"
+    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'SVM_Linear2', 'Linear SVM with C=2', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9960148469891452,\n",
-       " 'sensitivity': 0.874,\n",
-       " 'specificity': 0.9962260169178553,\n",
-       " 'precision': 0.2907145621267061,\n",
-       " 'f1': 0.43481909283278497,\n",
-       " 'auc': 0.9351130084589275,\n",
-       " 'actual_accuracy': 0.9052845528455284}"
+       "{'accuracy': 0.9819035351885613,\n",
+       " 'sensitivity': 0.8984897959183673,\n",
+       " 'specificity': 0.982048080474122,\n",
+       " 'precision': 0.07993256077219595,\n",
+       " 'f1': 0.1467692968986059,\n",
+       " 'auc': 0.9812992904176777,\n",
+       " 'pr_auc': 0.7201142544636184,\n",
+       " 'actual_accuracy': 0.9097560975609754}"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6074,8 +6321,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
+   "execution_count": 49,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -6085,16 +6334,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56610   253]\n",
-      " [   12    86]]\n"
+      "[[55840  1023]\n",
+      " [    6    92]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6106,6 +6353,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9925678869405772\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6113,16 +6361,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56601   262]\n",
+      "[[55713  1150]\n",
       " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6134,6 +6380,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9803844686494966\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6141,16 +6388,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56602   261]\n",
-      " [   15    83]]\n"
+      "[[55914   949]\n",
+      " [   12    86]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6162,6 +6407,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9739386143638469\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6169,16 +6415,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56634   229]\n",
-      " [   12    86]]\n"
+      "[[55852  1011]\n",
+      " [    9    89]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6190,6 +6434,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9867872548664225\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6197,16 +6442,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 392\n",
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56600   263]\n",
+      "[[55819  1044]\n",
       " [   13    87]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6218,18 +6461,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9722230624483408\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9953301721897467, 'sensitivity': 0.874, 'specificity': 0.99554015792343, 'precision': 0.25359645168350664, 'f1': 0.3930293977540476, 'auc': 0.934770078961715, 'actual_accuracy': 0.8890243902439025}\n"
+      "{'accuracy': 0.9816472221759078, 'sensitivity': 0.8984897959183673, 'specificity': 0.9817913230044141, 'precision': 0.07890351139745269, 'f1': 0.14503307456165568, 'auc': 0.9811802574537367, 'pr_auc': 0.7208030280777267, 'actual_accuracy': 0.9097560975609754}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -6237,28 +6481,29 @@
     }
    ],
    "source": [
-    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'smote', 'RandomForestminus1', 'Random Forest with SMOTE Sampling and depth -1', 5)"
+    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'SVM_Linear0.5', 'Linear SVM with C=0.5', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9953301721897467,\n",
-       " 'sensitivity': 0.874,\n",
-       " 'specificity': 0.99554015792343,\n",
-       " 'precision': 0.25359645168350664,\n",
-       " 'f1': 0.3930293977540476,\n",
-       " 'auc': 0.934770078961715,\n",
-       " 'actual_accuracy': 0.8890243902439025}"
+       "{'accuracy': 0.9816472221759078,\n",
+       " 'sensitivity': 0.8984897959183673,\n",
+       " 'specificity': 0.9817913230044141,\n",
+       " 'precision': 0.07890351139745269,\n",
+       " 'f1': 0.14503307456165568,\n",
+       " 'auc': 0.9811802574537367,\n",
+       " 'pr_auc': 0.7208030280777267,\n",
+       " 'actual_accuracy': 0.9097560975609754}"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6269,8 +6514,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
+   "execution_count": 51,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -6283,13 +6530,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56560   303]\n",
-      " [   13    85]]\n"
+      "[[55835  1028]\n",
+      " [    7    91]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6301,6 +6548,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9920047719420146\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6311,13 +6559,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56573   290]\n",
+      "[[55577  1286]\n",
       " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6329,6 +6577,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9770829422812509\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6339,13 +6588,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56575   288]\n",
-      " [   15    83]]\n"
+      "[[55866   997]\n",
+      " [   11    87]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi4AAAERCAYAAABcjiw6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdZ1gU19uA8Xtp0sSKYIsaFRQUUUFMxIadaCL2aCyINaLG2HvDXlARe1fsUWKNJcaYGAXxr9EYa6JGE8AuosAKzPuBl43rgoKsq2SfX6694p45c+bM7Mzw7CmzKkVRFIQQQgghcgGTd10BIYQQQoisksBFCCGEELmGBC5CCCGEyDUkcBFCCCFEriGBixBCCCFyDQlc/gNkYph4XxjiXJTzXQjDeF+vtSwHLhcuXGDEiBH4+Pjg5uaGj48PI0aM4M8//3xrlYuMjOSTTz6hUqVK+Pr66q3ckJAQnJ2dSU5O1luZmdmxYwfOzs44Oztz6dKlDPNcuXJFk+f27dvZKn/btm1MnTr1tfl8fHwYMmRItsp+2dv6PNKNGDFCcxxefFWtWpVPPvmEhQsXkpKSovftZiYiIgJnZ2d++eUXg23zRbdv387weKS/atWq9U7qlZGYmBj69OnDrVu39Fbmy8c/Li6OESNGcPLkSU2enJzX165dY/DgwXh7e1OpUiVq1apF//79OXPmjFa+9PuFq6srDx8+zLCsI0eOaD6Xl0VHRzN58mQaNWpE5cqVqVWrFgEBARw4cEAr34v3ile9bt++/dpzw9nZmZCQkFfu/6NHj5gxYwZNmjShcuXKeHp60rlzZ3bt2vXe/cF6+Z49YsQI6tSp845rpR9vep9JPwe2bdum9zrp+1rLyB9//EFgYCDe3t54eHjQsWNHTpw4kaV1zbKSafPmzUyePJlq1arRv39/HBwcuHXrFmvXrqV169asWLGC6tWr52gnMjJ9+nQSEhIIDQ0lf/78eiu3devWfPTRR5iZZWn39cLExIT9+/dToUIFnWV79ux543IXL15MtWrVXptv/vz52NravvF24O19Hi8qWLCgzg330aNH7Nu3j5CQEJKSkhg8ePBb2fb7qmfPntSrV08n3cLCwvCVycQvv/zCDz/8wMiRI/VWpouLC2FhYZpg4OLFi+zcuZNPP/00x2VfvXqV9u3b4+LiwrBhw7C3t+fu3bts2bKFTp06ERoaSv369bXWSU1N5dChQ7Rr106nvL1792a4nZMnTxIYGEiBAgXo1KkTzs7OPH78mEOHDjFw4EA++eQTZsyYgZmZGXXr1iUsLEyz7k8//cSSJUsIDg6mSJEimvQiRYpw584dIPNzA6BYsWKZ7n9iYiKdOnUiKSkJf39/SpcuzdOnTzl69ChDhw7l8uXLDB06NNP137U+ffrQsWPHd12N/yx9XmsZiY2NpWPHjhQrVoxRo0ZhaWnJ1q1b8ff3Z8mSJZme0+le+5f77NmzTJo0iQ4dOjBu3DitZc2aNaNNmzYMGzaMgwcPYmpqmqOdedmjR4+oWrUqdevW1Wu5xYoVe+VF/TZUr16d7777jkGDBuks27t3Ly4uLvz+++9vbfuVK1fOcRlv6/N4kbm5OR4eHjrpDRs25O+//2b79u1GF7iUKlUqw2PyX5c3b963tt+rV6/G1taWVatWaQWATZs2pVWrVsydO1cncKlevTr79+/XCVwSEhI4cuSIzjUcGxvLgAEDqFSpEosXL8bKykprO/Xr12fw4MF88MEHDBw4kEKFClGoUCFNnr/++gsAV1dXSpUqleF+vOm58d1333Ht2jX27t1LuXLlNOmNGzfG1NSU1atX4+/vT+HChbNdtiGULl36XVdB5MDGjRtRq9WsXLmSggULAlC3bl0+/fRTli9f/trA5bVdRStWrCBv3rwZRt92dnaMGDGC5s2bExcXp0nft28frVu3pmrVqnz88ceMHTtWq4k1JCSERo0a8fPPP+Pn50flypXx8fFhzZo1wL9NYH///Td79uzB2dmZHTt2aJpSb968qVWPzz//nM6dO2veX7x4ke7du+Pp6Ym7uzsdO3bk+PHjWtt/uasop3V+nWbNmnHjxg2d4OTs2bPExMTQtGlTnXUOHz5Mp06dqFq1KpUqVaJp06asX79eszz9GO3evVvzrTS9nsuWLcPLy4uPP/6YmJgYrWa+6dOn4+zsrHVMDh8+jLOzc4b7k9nnAXDjxg0GDBiAt7c3VapU4YsvvuDUqVM6665bt44WLVpQpUoV1q1bl6Vj9rKMWoy2bdtGq1atcHd3x83Njc8++4x9+/Zplqc3w0ZGRtKrVy/c3d3x8vJi3LhxJCQkaPIpisLy5ctp0KABbm5u+Pv7Exsbq7O9rO7v/v37CQwMxN3dnY8++oiFCxfy7Nkzxo8fT40aNfDy8mLMmDEkJSW90bF42Z07dxg1ahT16tXDzc2NVq1acfjwYa08zs7OLFq0iPbt2+Pm5saMGTOAtG6ewYMH4+Xlpdmns2fPaq174sQJOnToQNWqValevToBAQH89ttvQNo5l97S0rhx4wy7KNLPr3PnzmnSDh48iLOzM6tWrdKk3b9/nwoVKrB3716tJvQdO3bQpUsXAPz9/RkxYoRmnZSUFIKDg/H29sbNzY3PP/+cCxcuvPJ43b9/H5VKpZNuYWHB0KFDadu2rc6yZs2aERERwYMHD7TSjxw5goWFBR9//LFW+rp164iPj2fKlClaQUu65s2b07RpU1avXs3Tp09fWV99u3//fqbLunbtqvMF69SpUwQEBODp6UmlSpXw8fFhwYIFWl23zs7OhIWFMXLkSKpXr46npyeTJk0iKSmJ4OBgatWqhYeHBwMGDNC6t/r4+DBnzhymT59OjRo1qFGjBkOGDMm0Ww50u4p8fHwICQkhODiY2rVr4+bmRseOHTXnaLqjR4/SqlUr3NzcaNKkCfv376dRo0av7VYz9H0mI9u3b6dZs2a4ubnRtm1brl27ppPn8ePHjB8/nlq1alG5cmVatWrFjz/+qJXndcdb39daRkqUKEG3bt00QQuAqakpZcqU0bQmvsorAxdFUfjpp5/46KOPMrzwIO0gDBo0iAIFCgCwaNEiBg0ahIuLC8HBwfTt25cDBw7QpUsXrQ/w3r17jB49mjZt2rB48WJcXV2ZNm0ax48fp0iRIoSFhWFvb4+3tzdhYWFZ/pYfHx+Pv78/efLkYdasWcybNw9zc3N69+6daf+7Pur8Oh999BEFCxZk//79Wul79uzRLHvR0aNH6devH+XLlyckJIR58+ZRvHhxgoKCiIqKAtA5Rumio6MJDw9n5syZDBkyBEdHR62yBw0aRNmyZTUX1f379xk7dize3t507dpVp+6ZfR7Xrl2jVatW3Lhxg+HDhzNz5kwAunXrptNXOWvWLDp06MCMGTNe+1kmJydrXmq1mpiYGJYtW8bx48dp2bKlJl9YWBhjx46lbt26LFq0iOnTp2NmZsaQIUP4+++/tcr86quvqFChAgsXLqRjx45s2bKFJUuWaJbPnTuXuXPn0qxZM0JCQihbtiyjR4/WKiM7+ztu3Dg++OADFi5cSM2aNQkJCaFt27ao1WpmzZpFmzZt2LZtG2vXrn3lsYC0LooXj0n6K929e/do06aNplsiODiYYsWK0a9fP3bu3KlV1qJFi/D29mbevHl88sknPHz4kA4dOnDmzBmGDRvG7NmzMTU1pUuXLpqb/l9//UWfPn348MMPCQkJYdq0ady/f5/u3bsTHx9P69at6dOnDwDBwcG0bt1aZx9q1apFnjx5tPrx0/8dERGhSfvpp58wNTWldu3aWuvXrVuXMWPGADBy5EjN9gAOHDjAmTNnmDRpEkFBQdy6dYs+ffq8cjyUj48PMTExtG/fnrCwMP744w+tbaXfuF/UpEkTTExMOHjwoFb6nj17aNq0qU7X87Fjx6hQoQLFixfPtB7NmzcnISHhjcdRZXZuvG78Xp06dTAzM6Nbt24sXLiQX3/9lefPnwNQrlw5evbsqWltuXTpEt26dcPGxobZs2ezcOFCqlatSmhoqE4399y5c4G0runPPvuMsLAwWrVqxeXLlwkKCqJPnz4cOnSI4OBgrfW2bNlCZGQkkydPZtCgQfz4448EBASQmpqa5WOxfv16zp49y/jx45k2bRp///03/fv315wHJ0+e5Msvv6RIkSLMmzePzz//nNGjRxMdHf3Kcg19n8nI5s2bGT16NB4eHoSEhFCnTh2d4FKtVtOtWze+++47+vbty/z58ylZsiR9+vThyJEjWnlfdbz1fa1lpG3btgwcOFArLS4ujlOnTuHk5PT6ApRXuH//vuLk5KTMmjXrVdk0Hj16pFSqVEkZMWKEVnpERITi5OSkrF27VlEURVmwYIHi5OSkHD16VJPn2bNniqurqzJp0iRNWv369ZXBgwdr3n/zzTeKk5OTcuPGDa3yO3TooHzxxReKoijK2bNnFScnJ+X06dNa+zF16lTlypUrWtt//vy53uv8shfrPH78eKVhw4aaZcnJyUqtWrWUnTt3Klu3blWcnJyUW7duKYqiKEuXLlUGDRqkVdaDBw8UJycnJTQ0NNNjlFE9M8p37tw5xcXFRZk9e7bSr18/xcvLS7lz506m+5FRGQMHDlQ8PT2Vx48fa9LUarXSuHFjpWXLloqiKMqtW7cUJycnZeDAga8sW1EUZfjw4YqTk1OGr/r16yuLFi1S1Gq1Jv+UKVOUKVOmaJVx/vx5xcnJSQkPD1cURVFOnjypODk5KTNmzNDK9/nnnyvNmzdXFEVRnjx5ori6uiqTJ0/WyjNq1CjFyclJOX78eLb3t1+/fpo8sbGxipOTk9K2bVut8n19fZXevXtnejzSy8rslZiYqCiKosycOVNxdXXVuS46d+6s1KxZU3n+/LmiKIri5OSktGnTRivP3LlzFVdXV+X69eta++Tr66t0795dURRF2bt3r+Lk5KTExMRo8ly7dk2ZMWOGEh0drShK5tfmiwICAjTXqaIoSuPGjZVWrVop1apVU5KTkxVFUZRBgwYpnTt3VhTl388u/fi//F5R0s7JWrVqaY6FoihKWFiY4uTkpFy6dCnTuiiKooSEhChVqlTRHE8vLy/lq6++Uk6cOKGV78X7RY8ePZQuXbpolj169EhxdXVVIiMjlblz5ypOTk6aZe7u7sqAAQNeWYdLly4pTk5OyurVq3WWveqYvu7ccHJyUuLj41+57cOHDyve3t6a/G5uboq/v7/yzTffaD4PRVGUHTt2KF27dtVKS0lJUapXr66MGjVKk+bk5KS5DhRFUZ4/f664u7srdevWVZKSkjTpPXv21Fx7ipL2GXp4eGhdVwcOHFCcnJyU77//XlEU7c9AUdLuFbVr19Yqo3bt2lr3h/R76vnz5xVFUZSOHTsqzZs3V1JSUjR5du3apTg5OSkLFizI9DgZ+j7zstTUVKVWrVpKnz59tNJDQ0MVJycnZevWrVr7GxERoZWve/fuSuPGjTXvs3K89X2tvU5ycrLSv39/xcXFRfn1119fm/+VY1zSx6xkNZo6e/YsarWaFi1aaKXXqFGD4sWLExkZqfVN5sUBvVZWVuTPn59nz55laVuZKV++PPb29vTt2xdfX1+8vb3x8vLKdNCgIevs6+vLpk2b+O2336hUqRIRERE8efKEhg0b6rTE9OrVC0gbRHfjxg1u3LjB+fPngbTI+nUymt3wosqVK9O7d28WL15MamoqixYtwt7ePkv7kS4yMpI6depgZ2enSTM3N6d58+YsXLiQJ0+eaNKzFEUDhQoVYunSpUBa69mKFSs4f/4848aN0+n3HDVqlCbf9evXuXnzpqbl4+Vj9PLg8aJFi2qaaM+cOcPz589p1KiRVp7mzZuzffv2N9rfF7eXPrDS3d1dq/wCBQrw+PHj1xwR6Nu3Lw0aNNBJTx+bERkZSeXKlXXGQbRs2ZKRI0dy7do1zaDwlz+HkydP4uTkRIkSJTTf0lUqFfXr12fNmjWo1Wrc3d2xtramXbt2mmvKw8ODYcOGvbbuL6pfvz7Tpk0jISGBR48ecePGDUJDQ+nXrx8XLlzA1dWV48eP07dv32yVW6VKFfLkyaN5/8EHHwBodV9nJDAwkG7dunH8+HFOnjxJZGQk+/btY9++fXTv3p3hw4frrOPr68vo0aO5f/8+hQoV4uDBgxQuXBgPDw9+/vlnrbyKorx2AkD6cuUNZ/Fkdm4AmbaSp2vQoAF169YlKiqKEydOEBkZSUREBMePH2fHjh2sWLECS0tL/Pz88PPzQ61Wc/36dU2Xd0pKyiuvMzMzMwoUKEDFihW1xhEVKFBAZ4Zl/fr1ta6rhg0bYmZmxqlTp/Dx8cnSsXBzc8Pc3FzzvmjRokDaGCS1Ws2ZM2fo27cvJib/djQ0a9ZMqyskI4a+z7zs+vXr3L17V2e9Fi1aMH/+fM37EydOUKBAAapVq6bV4tawYUMmTJjA33//rWn9e9Pjnd1rLTk5WSd+eHF9SDuGw4YN48CBA0ycOBE3N7dMt5/ulVdVvnz5sLGx0WkOe1FSUhJxcXHY29trbsIZDegqXLiwzs5ZWlpqvTcxMcnxNDxra2s2bdrE0qVLOXDgABs3bsTCwoLGjRszYcIE8ubNq5XfkHX28PDAwcGB/fv3U6lSJfbs2UO9evUyHLvx8OFDJk6cyKFDh1AURWsQXla2l5VBdX5+fixatIh8+fLh6emZpX140ePHjzMMdtK3/eIf8qwGRWZmZloDiT08POjSpQuBgYGsXbtW68Zw69YtJkyYwPHjxzEzM6Ns2bKZBmwv38RVKpXmOD569AhAp7vuxZkckL39tbGxyVIdsqJ48eKvHFz9+PHjDGerZVSvl8+Lhw8fcvPmTVxdXTMs++HDhxQrVoyNGzeyfPlytm/fzqpVq7C2tqZVq1YMHz48y7Ob6tevz6RJkzh16hR3796lSJEiNGjQgMKFCxMZGUlycjKPHj3K8h+qdC8f1/Q/TFnpZrC1taVJkyY0adIEgD///JMxY8awatUq/Pz8dAK9Ro0aMW7cOA4cOEDHjh3Zs2cPvr6+GX6WJUqUeOW9E9B0X7/pZIHXnRuvY2ZmRs2aNalZsyaQ9nnPmzePzZs3s337dr744guSkpKYMmUK4eHhqNVqSpYsSdWqVTEzM9O5F73pee/g4KD13sTEJMuBfbqM7s2Qdh48evSIlJQUnWvczMzstTMkDX2feVlW13v48CEPHz7M9FqOjY3VBC5veryze60tXryYhQsXaqVdvnxZ8+8HDx7w5Zdfcu7cOSZOnEiHDh1euf10r51V5O3tTUREBImJiTonBsD+/fsZPnw4y5YtI1++fEBan/vLF/ydO3eoUqVKliqVmfQT/uUILj4+XuvkK1myJEFBQSiKwqVLl9i3bx8rV64kX758OjOj3nadX2RiYkLTpk357rvvGDhwIIcOHcr0GSyDBw/mjz/+YPXq1bi7u2NhYUFCQgJbt27VS10URWHcuHEULVqUp0+fMmnSJGbPnp2tMvLly8fdu3d10tMHV+XPn19nIGN2mZubM336dFq0aMHw4cPZu3cvefLkITU1lZ49e2Jubs727dupUKECZmZmXLt2jW+//TZb20i/Idy7d4/y5ctr0l8eHJid/c1qUKIPr6tX+vizjOTNm5fq1atn2iKZvm7FihWZO3cuKSkpnDt3jp07d7JhwwaKFStGQEBAlupZrFgxnJyc+OWXX3jw4AFeXl6oVCpq1KhBZGQk8fHxlC1bVvMt7m2JiYnBz8+PwMBAOnXqpLXsww8/ZNSoUbRu3Zpr167p3BNsbW2pU6eOZlBnZGRkhi0zkNaisWLFCm7fvk2JEiUyzLN//34sLS0N/kyetm3b8sEHHzBnzhyt9AIFCjB+/Hj27NmjGfwZFBTEvn37CA4O5qOPPsLa2hpIG7enLy9faykpKTx8+FBrllVOFCpUCHNzc+7du6eznfTAICPv4j6T2XovX+Mvr5c3b15KliypM34oXZkyZTJdV9/HO127du0ynSF08+ZNAgICuHfvHiEhIZm2HGbktbOKunfvzuPHjzP8o/bo0SNCQ0NxdHSkVq1aVKlSBQsLC3bv3q2V79SpU0RHR+f4WS/pLRMvDqa6e/cu169f17z/7rvvqFmzJnfu3EGlUlGxYkUGDx7Mhx9+mOG3n7dd55f5+vpy+/Ztli1bhqIomQ5UPX36NA0bNqRGjRqab7Tpo8Nf/JbzYrNndoSFhfHLL78wefJkhg4dyu7du3UeiPU6np6eHDt2TKtVKjk5mX379uHi4qK5weVUqVKl6NWrF7du3WLZsmVA2oV3/fp1/Pz8qFSpkqbJPf0YZWdQX9WqVbGystJ5Fsf333+v9d5Q+5tdnp6enD9/XjN9Nt2uXbsoWLCg1g3rZTVq1OD69euUKlWKypUra1779u1jzZo1mJubs2bNGurXr09SUhKmpqZUrVqViRMnYm1trbmmsnoe1qtXj19++YXTp09rvuXXrFmTqKgofvjhh1e2tujrcQv29vZYWlqycePGDGfzpP/Bzqx709fXl6ioKDZu3Ejp0qVxcXHJMF/nzp3JmzcvI0aMyLA7+eDBg3z77bd06dIlx89Yyq5SpUpx6NAhrUHJ6f755x8SEhI0+3/69Gk8PT1p0KCB5hw/f/48Dx480NuD6o4dO6Y1w+7QoUMkJyfrLTgyNTWlWrVqHD58WKvO33///SsHMr+L+8zLSpcuTfHixbVmMQE6swa9vLyIiYkhf/78WtdyVFQUoaGhWtfo6463vq41BwcHrbqktw4+ePCArl27Eh8fz/r167MVtEAWWlzc3d356quvCA4O5s8//+Szzz6jcOHCXLt2jbVr1/Lw4UPWrVunaXLr1asXCxcuxNzcnAYNGnD79m0WLFhAmTJlMpxtkB3p0f706dMZOHAgarWapUuXanX/VKtWDUVR6NOnDz169CBfvnz89NNPXL16lR49euiU+bbr/DJ3d3eKFy/OkiVLaNGiRabN7G5ubuzZswdXV1ccHR353//+x4oVK1CpVFo3QTs7Oy5fvsyJEyfw8vLKUh1u3rzJ7Nmz8fPzw9vbG4Ddu3czfvx4PDw8shx1BwYGcuzYMb744gt69epFnjx5WL9+Pbdu3dKMU9GXnj17Eh4ezvLly2nZsiUlS5akePHibNy4EUdHR+zs7Pj555/ZsGEDgNZssNextramf//+zJw5E0tLS2rXrs3p06fZsmXLO9vf7PD392fXrl1069aNL7/8koIFCxIeHk5ERARBQUGvvAmlr9ulSxf8/f0pVKgQhw8fZtOmTQwcOBCVSkXNmjWZM2cOffr0oVOnTlhYWLBnzx4SExM10/jT+8sPHTpE48aNM201qVevnib4TD9fa9asydOnT7l06ZJOi+iL0q/zY8eOYW9vr/WtNTtMTU2ZMGEC/fr1o1WrVnTs2JHy5cvz/PlzIiIiCAsL4/PPP9d6vsmLfHx8sLS0ZPny5VozLl5WuHBhQkJCCAwMpGXLlnTu3Jly5crx9OlTvv/+e8LDw2nSpInO7IrsuHnzpmaW4ctsbW0z7EKEtNkvERERtG/fnk6dOlGtWjUsLCy4ePEia9eupUKFCrRq1QpI+3K3d+9eNmzYQNmyZbl06RJLly7VuRflxN27d+nZsyddu3YlJiaG4OBgPv74Y50p5jkxYMAAOnfuTL9+/WjTpg3R0dGaadCZtZAWKlTI4PeZjAwdOpRBgwYxePBgWrRowdWrV1mxYoVWHj8/P8LCwvD396dXr16UKFGCiIgIli9fjp+fn9YXq9cdb31da5mZMWMG0dHRDBkyhKSkJK1z2MLC4rXjXLL06Ng+ffrg6upKWFgYc+bM4eHDhzg6OlKzZk369u1LyZIlNXn79+9P4cKF2bBhAzt27CB//vw0bdqUQYMGZdj/mR22traEhoYye/ZsvvrqKxwdHenevTsXLlzQfNssUqQIq1atYt68eUyaNImnT59SpkwZpk6dqjWV9kVvs84Z8fX1Zfny5ToDgl80ffp0Jk+erOlKKl26NBMmTGDfvn2cPn1ak693796MHz+eL7/8UqfVKCOpqakMHz4cGxsbrUFpQUFBtGjRgrFjx7Jo0aIs7Uf58uXZuHEjc+fOZezYsUBawLV27do3GjPzKnny5GHUqFH07duXadOmsWjRIhYtWsSUKVMYPXo0FhYWlCtXjtDQUGbOnElUVBTdunXLcvkBAQHY2NiwevVqtmzZgouLC1OmTOGrr756J/ubHfb29mzatIk5c+Ywc+ZMkpKScHZ2ZuHChToD+l5WpEgRNm/ezNy5c5k6dSqJiYl88MEHjB8/XvNk0goVKrBs2TJCQ0MZOXIkarUaZ2dnQkNDqVGjBpD2pSJ9mvWtW7eYOHFihturWrUqBQoUwNraWnPfKFWqFMWKFSMhIYGqVatmWtfy5ctrptj+8ccfLF++/E0OF5A25Xn79u0sX76cNWvWcO/ePczMzHB2dmbcuHGaP9oZsbKyol69euzbt4/mzZu/cjuenp6Eh4ezbt06wsLCiI6OxsbGhooVKxIcHJzh85uyY/ny5ZkehypVqmTatVyiRAnCw8NZtmwZhw4dYt26daSkpFCiRAlat25Njx49NEMDhg8fjlqtJiQkBLVaTYkSJejTpw/Xr1/XfFPP6VPImzZtSpEiRRg6dChWVlb4+fnx9ddf56jMl6VPJZ4/fz4DBgygRIkSTJgwgYEDB77yPm/o+0xGmjVrhomJCaGhofTv35/SpUsza9YsevbsqcljbW3Nhg0bCA4OZv78+cTFxVGsWDH69++vlQ9ef7z1ea29TFEUzSMFMurJcXBw4NixY68sQ6Xoq61PCCGEyCYfHx+qVauW7TF22XXw4EGKFi2qNZj5ypUrtGjRgiVLlug8Kfm/ylDH+20y3I/1CCGEEO/IyZMn2bNnD19//TWlS5cmNjaWpUuXUq5cuffqB0vF60ngIoQQ4j9v+PDh5MmTh2XLlnHnzh3y589P3bp1GTx48Hv1g6Xi9aSrSAghhBC5xpvNpRVCCCGEeAckcBFCCCFEriFjXESOdR7/Hesn5mxapxBCZJWqUcZPIs6Icuj2W6yJeCqkZX0AACAASURBVBckcBE5pqBk60Yi/vvS/1gkpOg+mVYYLytTPT0Xy4A/qSHePxK4iBzLxlOvhRAi52SQg1GTwEXkmExME0IYlLS4GDUJXESOSeAihDAoiVuMmgQuIsckbBFCGJSpRC7GTAIXkWPS4iKEMCjpKjJqEriIHEuVuEUIYUgStxg1CVxEjikSuQghDMlEIhdjJoGLyDGJW4QQBiVxi1GTwEXogUQuQggDkjEuRk0CF5Fj0uIihDAomVVk1CRwETkms4qEEAYlcYtRk8BF5JjELUIIg5KuIqMmgYvQExUy1kUIYRAyq8ioSeAihBAid5G4xahJ4CL0QoUKRVpchBCGIC0uRk0CF6EXKpUJipL6rqshhDAGErgYNQlchJ7IjUQIYSByuzFqErgIIYTIXWRWkVEzedcVEP8NKpWcSkIIAzHJxisb/vzzT5ydnXVe27ZtA+DixYt07twZd3d36tWrx8qVK7XWT01NZcGCBdSuXZsqVarQvXt3bt68qZVHH2UYO/lrI/RCJW23QghDUamy/sqGy5cvY2try88//6z1atGiBQ8ePKBbt26UKlWKb775hoEDB7JgwQK2bt2qWT80NJRNmzYRFBTEli1bMDU1JSAggKSkJAC9lCGkq0jojQQuQggDeUuDc69cuULZsmWxt7fXWbZmzRrMzc2ZMGECZmZmlC1blps3b7Js2TLatWuHWq1m1apVDBkyhLp16wIQHByMt7c3+/fvp2XLlmzdujXHZQhpcRF6opI+ZyGEobylrqLLly9TtmzZDJdFRUXh4eGBmdm/3/e9vLy4desWsbGxXLx4kWfPnlGzZk3NcltbW1xcXIiKitJbGUJaXITeSOAihDCQbHxRiouLIy4uTifdzs4OOzs7rbQrV65QqlQpOnTowF9//UXp0qX58ssv8fb2JjY2lnLlymnlL1KkCADR0dHcuXMHAAcHB5080dHRAHopQ0jgIvRExrgIIQwmG7ebtWvXsnDhQp30wMBA+vfvr3n/7Nkzbt++TcGCBRk8eDA2Njbs2rWLHj16sGrVKhITE7GwsNAqI/19UlISCQkJWmkv5lGr1QB6KUNI4CL0RbqKhBCGko0xLl27dsXPz08n/eXWFmtra06fPo25ubkmcKhUqRJ//PEHK1aswNLSUid4SH9vbW2NpaWlJu3FwEOtVmNtbQ2glzKEBC5CT6TFRQhhMNn4opRRl1BmbGxsdNKcnJz44YcfKFmypKYrJ136e0dHRxRF0aTZ2tpq5UnvHnJ0dMxxGUIG5wo9kcBFCGEoKhNVll9ZdebMGapWrcq5c+e00n/77TfKly+Pp6cnp0+fJjk5WbPs5MmTlC5dGnt7eypUqICtrS2RkZGa5fHx8fz+++/UqFEDQC9lCAlchL5IV5EQwkBUKlWWX1lVqVIlSpQowdixYzl9+jR//PEHQUFBnDlzhr59+9K6dWsSEhIYNWoU165dIzw8nDVr1tC7d28gbRzKF198QXBwMIcPH+bSpUsMGjQIBwcHGjduDKCXMoR0FQm9kcBFCGEYb+N7krm5OStWrGDOnDkMGDCAuLg4XF1dWbVqFS4uLgCsXLmSKVOm4Ofnh729PYMHD6ZVq1aaMgYMGEBKSgrjxo0jISGB6tWrs2LFCs14lUKFCuW4DAEqJb1TTYg31GLwt3x/cSwJzx+866qI94Ry6DYACSlP33FNxPvEylR3DMmbsPjaPct51XPP6mWb4v0hLS5CL+QBdEIIQ5H7jXGTwEXoidxIhBCGYWIiwzONmQQuQi9kVpEQwlCkwcW4SeAi9EPuJEIIA5GuIuMmgYvQC2lxEUIYigQuxk0CF6En0ucshDAM+aJk3CRwEXohtxEhhKFIi4txk8BF6IfcSIQQBmKajUf5i/8eCVyEXqikq0gIYSDS4mLcJHAR+iE3EiGEgUjgYtwkcBF6IYPlhBCGInGLcZPARQghRK4iLS7GTQIXoRcyxkUIYSgSuBg3CVyEfsiNRAhhIPJbRcZNAhehFzLGRQhhKPI9ybhJ2Cr0IrcGLgXz5kc5dFvntW3sUk2e9vU+5dyywyTsvcaVNT8R+Jm/Vhmta3+SYRn9PusGwOqhczNcrhy6zZFZWzXlhAQGZZjHtbSzQY6FyLqUlBTWr9mAX/NW1Kz+Ma2at2Zz2GYURQEgMTGReXPm06yBL9416tDTvxeXfr+kVUbc4zgmjptMo7qNqVOzHl/1G8TtW7ffxe7kOiqVKssv8d8jLS5CP3LpDaJKWRcAGo/oSNyzeE36/biHALSr24KNIxcyZ/syBi46QoOq3oQETibu2RPWHdoOgNuHFbn693U6zxioVfb16L8AmLxhPkv2bNBaVs/tI6b3GMmK/Zs0aW5lKrDl6C6Cd6zQyvvHPzf1tLdCX5YtXs7qFWvo2acHblUq87/TZ5g1fQ4JiYn4B3Rj9vQ57N29j4GDB/DBByVZu3o9Pbv3Znv4VhwcHQAYMXQkly5eZtCQr8iXz45FIUvo1b0P28O3Ym1j/W538D0nAYlxk8BF6EVubXFxK1ORmAd3OHT6WIbLZ/YczaLd6xi2PAiAH87+QmmHkjSqVuffwKVMBU5fOUfExf9lWMaf0Tf5M/rf4COvtS1bxyxm7cFtbDyyU5NeuUwFNv4Qnmk54v2QmprKhrVhdO3ehZ59egDg9ZEXDx8+ZN3q9XT178Le3fvo3O0LOnRsD0CVqlWoX6sB3+07QNfuXXhw/wG//HyCCZPH0eKz5gCUKl2Kz3z9OP7zLzRq0vCd7V9uYCKBi1GTwEXoSe68kbh9WJFz1y9muKy6kxulHEqwbG+YVvoX0/vrlPFiy8nrjOwQiJ21LUP/PxgCKGlfjAJ583Puz4zrIt4f8U/iaf7ZJzRo6KOVXrp0aR4+eMjTp095/vw5NjY2mmVWVlZYWFjw+PFjAJKSkgCwsbXV5MmXPx+AJo/InIk88t+oSeBiJB48eMCWLVuIiooiOjqapKQkrK2tcXR0pEaNGrRt25b8+fO/cfm5tenW7cOKJKqTOD4vnGrlK3Hv8UMWhK9i1tbFuJWpCICZqSlH52zno4rViH14j2mbF7J49zoAbCytKe1QkqrlKnF59THKOJbk4l/XGLFyGvsjj+hsz6GAPV+16sGkDcHcfXRfqx4A/k3as2P8cgrY5uPH8yfpv3AsV27/aYAjIbLKLp8dI8eM0En/8egxHBwdyJs3L23apY15qe5ZnQ8+KMmKZStJTEykYeMGABQtVpQ69WqzYulKypUvS758+Zg1fQ62trbUruNt6F3KdXJrC6/QDwlcjMD58+fp0aMHNjY2eHh4ULFiRSwsLFCr1dy5c4dNmzaxatUqVq9eTYUKFd5wK7nvRqJSqXD5wImnic8Ysmwyf935B98aPkzrPgJLizwkPVeTnJLMrkmrWbR7LRPXz8WvVjMWDZjK/biHbP1xN24fVsTExIQyjiX5eslEklNS+PLTLuyetJqGwz/n6K+/aG2zT/POJKcks3j3eq309MDFxtKaDlP6USR/ISZ0+Zof52yncq+G3Hv8wGDHRWTfju07iTgRwfBRwwDo3a8X586d54v2nYG0c23ytIm4uLpo1hk2cih9enyJX/PWAOTJk4cFi+ZpxsCIzOXWL0pCPyRwMQJTpkzBx8eHKVOmZPj8g9TUVEaPHk1QUBAbNmzIoITXy43fgFQqFc3HduWvO//wxz83ADj66y/YWlkzvN2XTNu8EDNTM5btC2PapoVA2hiXMo4lGd95EFt/3M3vN6/iO7oLP/8WyZP/H9x76H/H+HXJQcZ0GqATuPRo9jlrD23n8dM4rfSNR8L539XfOBB1VJN28uL/uLLmGH2adyYobP7bOxAiR/bu3seUiVNp2LghHTq1JyEhga4d/XmuVhM0fRJFihTh8KHvmTBmEjY2ttRvUI/Y2Dt06diNggULMnveLGxsbdixbSdfDxjC4hWhuFVxe9e79V6TwMW4SeBiBC5evJhp0AJpD3Pq0aMHbdq0efON5MIbSWpqKj+c/UUn/btTR+nboovW+xcd+t9PzOk9FnMzcx4/jdPpEkpNTeXQ/36ic8PWWumezu6UsC/K5h++1dnmzdjb3IzVngp76+4/XPzrGlU+dNHJL94P69duYO7MYOrWr8u0mVNQqVQcOXSEv27+xYYt66lU2RWAGjVr8PjRY2ZMmUn9BvXYtXMXcY/j2LR9Iw4ORQCo+ZEXXTt2Y97s+axav/Jd7tZ7LxfeboQeyXNcjIC9vT2XL19+ZZ5z587lbIxLLmxxKVrIgZ6+nSicr6BWulUeSwBu/H8gYWFmrrXc3NQMFSpSU1NxL+tKQLPPdcq2ymOp073T1LMeMQ/ucPzCKZ38vjV88K3ho5NuZWHJvTjpJnofLQgOYc6MuXzy6SfMnjcTc4u08yQmJhZTU1NcK2kHnFWruRMTE8Ozp8+IiY7BsaijJmiBtFYE96ru/PnHdYPuR24kz3ExbhK4GAF/f39Gjx7NnDlz+Omnn7h69So3b97k6tWrHD9+nODgYCZOnEjXrl1zsJXcd4PIY27BskEz+KJBK6301rV9uXzrD3adOEhCUiJt6zbXWv6JVwNOXfmVlNQU3Mu5suLrWbiXddUst7SwxLeGDz+eO6m1Xg1ndyIvn82wLu3qtmDF17M0QRNApdIVKF+8jE454t0LW7+RVctX07Hz50yeOhEzs38br0uVLkVKSgrnz53XWuf8ud8oULAAVtZWlCpdipjoGGJjYl/Kc55iJYoZZB9yMxMTkyy/xH+PdBUZgU6dOmFlZcXSpUtZvny51rcQRVEoU6YMo0ePpm3btm+8jdz4zeZGzC02HglncrehpCoKF/+6Sts6zWnt7UvLCQE8eRbP1E0hTOj8NXFPn/DjuZO0r/cpdd1q4js6rStp2497GNkhkG1jlzJ69QwS1IkMbdsHW0sbgjZqj0upVNqZbcf2ZliXOduX0b5eC8InrmTu9uU4FChMULdhnL56ni1Hd731YyGy7u7du8yfs4DyTuVo6ttEJ0CpW78OzhWcGTZoBP0Gfom9vT0/Hj3G3t37GDF6GCqVipatPiNs/Ub69e5Pr749sbW1Yfe3ezl75leCQ+a+oz3LPXLh7UbokUpJf0a1MAr3798nNjaWhIQELC0tKVq0KAULFnz9iq/QYvC3nLqxlNi4c3qqpeFYWlgy9ouBfF7vM4oWKsLFv64xacM8wo9/p8nTv2V3+rf0p6R9Ua7cvs74dXO0lpewL8rMnqPxca+FraUNP1+IZPDSyVy4od0993T3VaZsWsDUjSEZ1uUjl+pM7T6CauUqoU5+TvgvBxi2fAoPnzx6Ozv/FimH0rrZElKevuOa6N+3O3cxfvSETJf/cPx7VCoV82bP58cffiQxMYkyZcvgH9BN68Fy//z9D3NnzePkiZOggJNzefr274tnDY+3vxPviJWpzeszZUGFec2ynPfSV/uzXf7169dp1aoVo0aN0nyhu337NpMnT+bUqVNYWlri5+fHoEGDtFrbwsLCWLVqFXfv3qVixYqMHj0aN7d/B1rrowwhgYvQgxaDvyXqxjJi4n5911UR74n/cuAi3py+ApeK832znPfiwH3ZKvv58+d06NCB3377jaCgINq2bYtaraZFixaUKVOGr7/+mlu3bjFq1Cg6dOjAoEGDANixYweTJk1i8uTJVKxYkRUrVnDkyBH2799PoUKF9FKGSCMdgEIvVCo5lYQQhvE2B+eGhIRoPfUY4MCBA/z999/MmDEDJycnGjRowJAhQ1i3bh2JiYkALF26lI4dO9KiRQvKlSvHlClTsLW1ZfPmzXorQ6SRvzZCT6TTWQhhGCpV1l/ZcerUKbZs2cKMGTO00qOioqhYsSL58uXTpHl5efHs2TMuXLjAvXv3uHHjBl5eXprlpqamVK9enaioKL2VIdLI4FwhhBC5ytuYLRQXF8ewYcMYM2YMRYsW1VoWGxuLo6OjVlqRImlT2WNiYrC0TJsNmFGe8+fP660MkUYCF6EXuXFWkRAid8rO/SYuLo64uDiddDs7O+zs7DTvJ0yYgLu7Oy1atNDJm5iYqNN9ZGFhAaT9YGZCQoJW2ot51Gq13soQaSRwMQKdOnXKct6wsLDXZ8qASnodhRAGkp3vSWvXrmXhwoU66YGBgfTvn/ZL7+Hh4URFRbF79+4My7C0tNQJHtLfW1tba1pLMspjbW2ttzJEGglcjMAHH3xggK1Ii4sQwjCy0+LStWtX/Pz8dNJfbG355ptvuH//PvXq1dPKM2nSJNasWYOnpycXL17UWnbnzh0grWunWLFimjRnZ2etPA4ODpp8OS1DpJHAxQhMmzbtXVdBCCH0JxuBy8tdQhmZPXu2ZmZPusaNGxMYGEjz5s05e/YsO3bsIC4uTlNWREQENjY2uLi4YGFhQZkyZYiMjKR27doApKSkcPr0adq3bw+Ap6dnjssQaSRwMUL37t3jzz//JCUlRZOmVqv59ddfGTBgwBuVKdOhhRCGYmKi3xbezFo0ChYsSPHixSlcuDDz5s1j0KBBDB06lH/++Yc5c+bg7++vGZPSvXt3goKCKFOmDG5ubqxcuZKnT59qHmDXsGHDHJch0kjgYmTCw8MZO3Ysz58/R6VSoSiKptm1ePHibx64SFeREMJADD0ZIE+ePKxYsYJJkybRrl077OzsaN++Pf369dPkadeuHfHx8cyfP59Hjx7h6urKqlWrNE8m10cZIo08OdfI+Pr6UqVKFXr37k27du1YvXo1sbGxTJw4ka+//prPPvss22W2GPwtv94O49aDX95CjUVuJE/OFRnR15NzPVa2znLeqIBv9LJN8f6QFhcjc+vWLUJCQihdujTOzs48ePAAHx8fkpOTWbJkyRsFLiAtLkIIw5HHLxg3GZhgZCwsLDT9qaVKleLy5bQfAqxUqRI3b97MQclyIxFCGMbbenKuyB0kcDEylSpV0vzuRfny5Tl+/DgAV69exdzc/I3LlRYXIYShvM3fKhLvP+kqMjL9+/enR48eFCxYED8/P0JDQ2nSpAl37tzhk08+efOC5QYhhDCQt/HIf5F7SOBiZDw8PDhw4ABqtZqCBQuyceNGNm/eTNGiRencufMblystLkIIQ5GWFOMmgYsRevGZBeXKlWPMmDE5LlMCFyGEoUjcYtwkcDEyXbp0eeXydevWvVnBcicRQhiItLgYNwlcjMzLT4hMTk7m5s2b/Pnnn68Nal5NbiRCCMOQwMW4SeBiZGbNmpVhenBwcIY//Z5V0lUkhDAUCVyMmwzNFgC0adOGvXv3vvH6ciMRQhiKiYkqyy/x3yMtLgKAa9eukbNff5AbhBDCQOSLklGTwMXIDBs2TCctPj6eEydO0LRp0xyULDcSIYRhSAuvcZPAxchER0drvVepVJibmxMQEIC/v/8blys3EiGEoUgPkHGTwMXIrF+/PtNld+/excbmzX69VQbnCiEMRb4oGTcZnGtkKlasyIMHD3TS//nnHxo3bpyDkuVUEkIYhqmJSZZf4r9HWlyMwL59+/jpp58AUBSFoKAg8uTJo5Xn9u3bWFtbv/E25AuQEMJQJBwxbhK4GAF3d3fCwsI0s4Zu376Nmdm/H71KpcLGxoZp06a9UflpQYtELkIIwzCRb0pGTQIXI1CsWDHCwsIA6Ny5M6GhodjZ2emtfJVKJWNchBAGI2NcjJu0uBmZ9evXc+rUKX744QdN2pgxY/jxxx/fuEwTFaCSU0kIYRgmKlWWX+K/R/7aGJlt27YxcOBA/v77b02aWq2mX79+7Nu3743KlBYXIYQhqVSqLL/Ef490FRmZlStXMn78eNq2batJmzlzJtWrV2fx4sX4+vpmu0y5OQghDMlM7jlGTVpcjEx0dDQ1a9bUSf/444/566+/3qhMlQpU0lUkhDAQaXExbvLXxsgUL16ckydP6qSfPn2aIkWKvFGZJjKrSAhhQDLGxbhJV5GR6dSpE1OnTuWvv/6iSpUqAJw/f55169bRv3//NypTxrgIIQxJ7jbGTQIXI9OpUycSExNZs2YNy5cvB6BIkSIMGTKEJk2avFGZ0iQrhDAkaUkxbhK4GKGAgAACAgJ4+PAh5ubmXLhwgU2bNjF9+nTOnz+f7fKkq0gIYUjyKH/jJoGLkXry5Am7d+9m8+bNXL9+HQsLC/z8/N6oLJVKRR6zvFiZF0KdEk9KapKeayuEEP+SFhfjJoGLkTl//jybN29m3759JCQkoFKp6NKlC71796ZgwYJvVKa1pRnF8lenWP7qAKSkqklKjked/AR1cjxJyU9Qp8T/++/keK10CXSEENnxtsKW2NhYZsyYwfHjx1Gr1Xh6ejJ06FDKly8PwMWLF5k6dSrnz58nf/78dO7cmYCAAM36qampLFy4kG3bthEXF0f16tUZP348pUqV0uTRRxnGTgIXI5CYmMiePXvYtGkTFy5cwMbGhsaNG+Pr60u/fv1o27btGwctAFP7elMpoCUWZnnJY2aLhVleLExtyWOWFwszW2wti5LHzBZTE4sM109JVWsHNSkZBDjJ8ahTnpCULIGOEMbubbS4KIpCz549sbW1ZeXKlVhZWTF//ny6devGwYMHSUpKolu3bjRq1IgJEyZw7tw5JkyYQN68eWnXrh0AoaGhmm53BwcH5syZQ0BAAHv37iVPnjw8ePAgx2UICVyMQp06dUhNTaVOnTr07t2bevXqYWGRFkSk//BiTtgXsOLOkwuvzWeqssDC7N+AJvNAx5E8ZnmzGei81MIjgY4Q/1lvI3C5d+8eZcuWZcCAAZQpUwaAL7/8ks8++4wrV64QERGBubk5EyZMwMzMjLJly3Lz5k2WLVtGu3btUKvVrFq1iiFDhlC3bl0AgoOD8fb2Zv/+/bRs2ZKtW7fmuAwhgYtRSE5OJm/evFhaWvL8+XOSk5M1gYshpShqEp4/IOH5gyzlf12gk74s64HO/wc3GQU6KWnvJdAR4v33NmYx2tvbExwcrHl/7949Vq5cSZEiRXByciI0NBQPDw/MzP79s+nl5cXixYuJjY0lJiaGZ8+eaT3g09bWFhcXF6KiomjZsiVRUVE5LkNI4GIUjh8/znfffcf27dvZsWMHlpaW1K1bF19f3/d6GvObBjr/Bjt5//33S4GOhZktZiYZN7umpD7XBDEvBjSZjdmRQEcIwzLNxn0rLi6OuLg4nXQ7Ozvs7OwyXGfEiBHs3LkTCwsLFi9ejI2NDbGxsZQrV04rX/pDO6Ojo7lz5w4ADg4OOnmio6MB9FKGkMDFKFhZWeHn54efnx83btxg+/btfPvttxw4cACVSsXKlSvp0aMHZcuWfddVzRG9BTqmti8EPbbY5nHIQqCT0SBkCXSEeBuy01W0du1aFi5cqJMeGBiY6UM3AwIC6NSpExs3bqRfv36EhYWRmJio01Kd/j4pKYmEhASttBfzqNVqAL2UISRwMTqlS5dmyJAhfP311xw9epQdO3awe/duwsPDqVmzJqtXr37XVTQY/QY6/3Zl2eYpgoVZ3tcGOuljcNTJ6a06GQ9OTk5N1OduC5HrZSdw6dq1a4aPesistQXQzCKaMmUKv/76K+vXr8fS0lIneEh/b21tjaWlpSbtxcBDrVZjbW0NoJcyhAQuRsvExAQfHx98fHx48OABO3fuZMeOHe+6Wu+17AY6JipzzfgcrXE6egt0Mh6zI4GO+K/LThf3q7qEXnTnzh0iIiJo3ry5pnwTExPKlStHbGwsjo6Omq6cF9cBcHR01Ex0uHPnDra2tlp50ruH9FGGkMBFAAULFtQ8TVfoT6ryPOeBjumLQc//j9HJUwQL07yYmeY00El7L4GOyG3exnNzo6OjGTJkCEWLFsXDwwOA58+f8/vvv1O3bl0cHBwICwsjOTlZM7j25MmTlC5dGnt7e/Lly4etrS2RkZF8+OGHAMTHx/P777/TsWNHADw9PXNchpDARYj3xtsIdCxyGuhoDU6WQEe8H97GpILKlSvj5eXFuHHjmDRpEnZ2dixZsoRHjx7RrVs3rK2tWbFiBaNGjaJXr1789ttvrFmzhvHjxwNp41C++OILgoODKVy4MCVKlGDOnDk4ODjQuHFjAFq3bp3jMgSoFH08yEMYPVWjEu+6CuI1Xgx0MpptpTXlPEuBTsZPQlYnx3N0zgZKFbUDMxmILP5lZWqjl3IG/zwsy3nneM/Mct7Hjx8ze/ZsfvjhB548eYKHhwfDhg3D2dkZSHvy+JQpU7hw4QL29vZ069aNLl26aNZPSUkhODiYHTt2kJCQoHnqbcmSJTV59FGGsZPARQiRoUR1MnHxah4/TeJxvJrH8Wn/j/v/94/ikzT/fhyfRKI6RWv9mpUcGe3v9Y5qL/7LhhwfnuW8s2vNeIs1Ee+CdBUJITJkaWGGZUEzihTM2myGpOcp/x/cpAUzHzjkfcs1FMbKRH6N3qhJ4CL0IjHl2buugnjXTMDODuzs8lDetAAg54XQZmmqnym97/ODM8XbJ4GLEEKIXOVt/FaRyD0kcBFCCJGrmKjexoRokVtI4CKEECJXkRYX4yaBixBCiFxF9VYeQSdyCwlchBBC5CrS4mLcJHARQgiRq8isIuMmgYsQQohcRSXPcTFqErgIIYTIVUxNZIyLMZPARQghRK5iIoNzjZoELkIIIXIVGeNi3CRwEUIIkatI4GLcJHARQgiRq8iPLBo3CVyEEELkKtLiYtwkcBFCCJGrmMpvFRk1CVyEEELkKvIji8ZNAhchhBC5inQVGTcJXIQQQuQq8uRc4yaBixBCiFxFfmTRuEngIoQQIleRwbnGTQIXIYQQuYpKAhejJoGLEEKIXEXGuBg3CVyEEELkKjLGxbhJ4CKEECJXkenQxk0CFyGEELmK/FaRcZMRTkIIIXIVExPTLL+yIz4+nqlTp+Lj40PVqlVp1aoV33//vWb57du36d27N9WqVePjjz9m1qxZJCcna5UR0ThlIwAAGHVJREFUFhZGgwYNcHNzo3379pw7d05ruT7KMHYSuAghhMhVTFBl+ZUdI0eO5OjRowQFBREeHk7jxo0JDAzkxIkTqNVqAgICUKlUbN68mcmTJ7N9+3ZCQkI06+/YsYNZs2bx1VdfsWPHDsqUKUOPHj24f/8+gF7KEKBSFEV515UQuV9iyrN3XQXxHrE0tQbkvBDa0s+LnNpwdVWW835RvnuW8t29exdvb2+WLl1KvXr1NOldu3alcOHC1KtXj5EjR3L8+HHy5csHwLZt25g6dSonTpzA0tKSJk2a0KBBA4YNGwZASkoKjRo1onXr1vTr14/du3fnuAwhLS5CCCFyGVU2/ssqKysrli9fjoeHh/a2VCoeP35MVFQUFStW1AQcAF5eXjx79owLFy5w7949bty4gZeXl2a5qakp1atXJyoqCkAvZQgZnCuEECKXyc6sori4OOLi4nTS7ezssLOz07y3tbWlTp06WnnOnj3LyZMnGTNmDD///DOOjo5ay4sUKQJATEwMlpaWABnmOX/+PACxsbE5LkNI4CKEECKXyc7YlbVr17Jw4UKd9MDAQPr375/pen/88QeBgYFUqVKF9u3bc/jwYWxsbLTyWFhYAJCUlERCQoJW2ot51Go1AImJiTkuQ0jgIoQQIpcxUWV9tlDXrl3x8/PTSX+xteVlp06dIjAwkGLFirF06VLMzc2xtLTUCR7S31tbW2taSzLKY22dNrZHH2UIGeMihBAil1GpVFl+2dnZUaJECZ1XZoHLrl278Pf3x9XVlfXr15M/f34grfvmzp07WnnT3zs6OlKsWDGttBfzODg46K0MIYGLEEKIXOZtDM4F2L17N8OGDaNZs2YsXboUW1tbzTJPT08uXryoNV4mIiICGxsbXFxcKFiwIGXKlCEyMlKzPCUlhdOnT1OjRg29lSHAdMKECRPedSVE7pesPH/XVRDvETMTc0DOC6Et/bzIqYuPfstyi4tLgcpZKjMmJoaAgACqV6/OhAkTSEpK4tmzZzx79oznz5/j7OzMrl27OHnyJM7Ozpw7d46goCC6dOnCxx9/DKSNRQkJCcHBwQFzc3PmzJnDlStXmDp1KlZWVpQqVSrHZQgZ4yKEECKXeRuP/D948CAJCQmcPHmS2rVray2rVq0amzZtYsWKFUyaNIl27dphZ2dH+/bttZ6t0q5dO+Lj45k/fz6PHj3C1dWVVatWUbBgQQDy5MmT4zKEPIBO6Ik8aEy8SB5AJzKirwfQfXtjW5bzfla6rV62Kd4f0uIihBAiV5FfhzZuErgIIYTIVbI76Fb8t0jgIoQQIlcxkRYXoyaBixBCiFxFWlyMmwQuQgghchUZ42LcJHARQgiRq2Tnkf/iv0cCFyGEELnK23iOi8g9JHARQgiRq0hXkXGTwEUIIUSuIoNzjZv8yKIQOXD0yFE+8qillXbhtwtUcamq85ozc+47qqUwhJSUFFavXEPzJp9Ss/rHdGrfmYiT//5Y3pMnT5gyaSoN6jTiI49aDOz3Fbf+uvUOa5x7ZefXocV/j7S4CPGGzp45y6jhY3j5VzOuXL6KlZUVy1Yt0Uq3t7c3ZPWEga1ZtZbQBYv4MrAvlSq7Er7zW77s1Y8Nm9dT0aUCI4eO4tLFS3w1ZCD58+Vj2ZLlBHTryY5d27V+hVi8nqkMzjVqErgIkU1qtZqw9RsJXbAIKysrUlNTtZZfvXKVcuXL4VbF7R3VULwLu7/dQ7NPmtKjdwAAnl6enDl9lp07wrGwaMtPx35mzvzZNGzUAICy5crSrNEnHD3yI80//eRdVj3Xka4i4yaBixDZ9POx46xcvopBQ77i8aPHrFuzXmv5lStX/6+9O4+K4mrTAP40S9PQgCgIqFEEooAbrugYlQQMGpXPGMU1wQVHnEFQzIkx4hqM6BiDRonLEVEigsunBoMmEzNq1AiIMZFBDG5sURaDLH6AbQPzB2MHBGODhU13PT9OnyO3b996aQvq6apbVeju1E1D1ZGmKBQKyOvsOdHX14epmSlKS0rwWufX8HVsNJycu6ueN5Qa1r7uieKV16rteAhI3DjHhaiJevbuiZP/nYAZH0xv9A/orYybyLufh8kTpmBAn0EYN+ofiD8er4FK6VWaMm0yEuITkHQpCWVlZYj5+gBu37qN0e+MgpGREfq49oaRkRGUSiVu37qNVSGrYWlpCQ/PtzRdutaRNOGLdA/3uBA1kY2N9XOfKygowMOHxcjOykFQcCDMzc1w6uR3WLFsFSQSCbzHe7/CSulVmjzVB5eTLmOe33xV24KgALzp8Wa9fmtWhiL+eDz09PSwZu0qWFhYvNpCdQD3uIgbg4sIuLu7q/2Lfvbs2ZYtRseZmZnhq10R6O7UTTUZd8jQISgsKMSOr3YxuOiompoa/Me/B+DO7TsIWfkJ7B0ckHQpCTu+2gkzczNMnT5F1XfyVB94jx+HMz+ewYplq6CsqsJ7EydosHrto8eDBaLG4CICS5YswbJly+Dg4ABPT09Nl6PTjI2N8cawoQ3a3xj+Bi5e+Bnl/yqHidxEA5VRS7r6y6+4+stVbPziv+A1+m0AwCC3gVBWKRG+aTP+Md5b9f/eu08vAIDb4EHIz89H5K49DC5NpCdhcBEzBhcRGDt2LIyMjBAcHIywsDA4OztruiSdlZmZheTEZLz73nhIpVJVe2VlJWQyGYxNjDVYHbWU/Lw8AEAf19712vv174eo3XuRm5uLtP+9jnffG19v76ezizPOn7vwSmvVBTxUJG6MrSIxcuRIjB07FuHh4ZouRacV5Bfgs0/X4fxPf22Mampq8OPp/0G/Af34B1dH2XW1AwBcvfprvfbUa6kwMDDA7dt3sHrFGlxOTlE9V1NTg8SfE9Gt++uvtFZdwMm54sY9LiKyfPly5ObmaroMnTZgYH/0698Pa9d8htKSUrRvb4Ujh/6Jm7/fxN79ezRdHrWQHj17YLj7cKz7NAylJaWwd7BHSnIKonbvxfT3p+Ftr5E44HoAK5etxIKFC9C2rQWO/fM4fr36GyJ2btN0+VqHgUTcJDXPXvaTqBkqq8o1XYJGbN+2A/uiopF45WdVW0lxCb7cvBU/nTuPkuISuPRwxsLgIPQf2F+Dlb5aMv3a+RxiWi8qKyuxbUsEvjv1PUpLStHFrgsmT/WBz5RJkEgkKC4uxpfhtetFaUkpXHq6ICDwP+E2eJCmS39lnq4XLyvlwc8v7vT/Blo1nHNG2o3BhQQhpg0UvZgYgwu9mFDB5cqDS2r3HWD1b4Isk1oPHioiIiKtwrOKxI3BhYiItArnuIgbgwsREWkVnp0nbgwuRESkVbjHRdwYXERgxowZaveNiYlpwUqIiF4eg4u4cYaTCHTp0kXtBxFRa6cn0VP70Vw7d+7EtGnT6rXl5ubC398f/fv3x9ChQ7Fx40Yolcp6fWJiYuDp6Yk+ffpgypQpuHbtmuBjiB33uIhAWFiYpksgIhJMS89xiYmJQXh4OPr166dqUygU8PPzg729PeLi4pCTk4Nly5bBwMAAwcHBAICjR49i48aNCA0NhYuLC3bv3o25c+fi1KlTsLS0FGQM4nVcROnBgwe4c+cOqqqqVG0KhQK//fYbgoKCmjUmr9dBdfE6LtQYoa7jkl78m9p9XSxc1e6bn5+PVatWISkpCba2trCwsEBsbCwA4MSJE/jkk09w8eJFtGnTBgBw+PBhrFu3DpcuXYJMJsOoUaPg6emJJUuWAACqqqrw9ttvY+LEiQgICBBkDOIeF9E5fvw4VqxYgSdPnkAikaCmpkb16aVTp07NDi5ERK9KS81xSUtLg1wuR3x8PCIiIpCVlaV6LiUlBS4uLqrAAQCDBw9GeXk50tLSYGdnh8zMTAwePFj1vL6+PgYMGICUlBTBxiAGF9HZtWsXxo0bB39/f0yePBlRUVHIz8/HmjVrEBgYqOnyiIheqCmHikpLS1FaWtqg3dzcHObm5vXaPDw84OHh0eg4+fn5sLW1rddmbW0NAMjLy4NMJgOARvukpqYKNgYxuIhOTk4Otm7diq5du8LJyQlFRUXw8PCAUqnEjh07MH78eE2XSET0t5qyx2Xfvn3Ytq3hjSwXLFjQpA9rlZWVkMvl9dqkUikA4PHjx6ioqKjXVrePQqEQbAxicBEdqVSq+qWws7PD77//juHDh6NXr171dosSEbVWTTlbaObMmZgwYUKD9mf3tryITCZrEB6efm9iYqLaW9JYHxMTE8HGIJ4OLTq9evVCXFwcAKBbt264ePEiAODmzZswNDTUZGlERGqSqP0wNzfHa6+91uDR1OBia2uLgoKCem1Pv7e1tUXHjh3rtdXtY2NjI9gYxOAiOoGBgYiJiUFkZCS8vb2RlpaGUaNGYdGiRRg5cqSmyyMieiGJRKL2QyiDBg1Cenp6vfkySUlJkMvl6NGjB9q1awd7e3skJyernq+qqsKVK1fg5uYm2BgE6K9evXq1pougV6djx46YMGECunbtCltbW7z11lsoKyuDp6cngoKCoK+v36xxlTVPBK6UtJmBXu3eO64XVNfT9eJlFSv+hETNr7ZGVs1axunTp1FSUoJJkyYBqD20Hh8fj8TERDg5OeHatWtYu3YtfH19MXToUAC1h+K3bt0KGxsbGBoaYtOmTcjIyMC6detgbGwsyBjE67iQQHi9DqqL13Ghxgh1HZe7ZRlq97U3696sZSxduhRZWVmq67gAQFZWFj799FNcvnwZ5ubmmDhxIhYuXAg9vb8OXuzZswf79u1DcXExevbsiZCQEPTs2VPQMcSOwUVkfH19//b56OjoZo3LDRTVxeBCjREquGQ+uql2366m3QRZJrUePKtIZJ6d4KVUKpGVlYU7d+68MNQQEbUGepyeKWoMLiKzcePGRtvDw8MbvUgTEVFr09L3KqLWjbGVAACTJk1CQkKCpssgInohdSfmttStAUizuMeFAAC3bt0CpzsRkTbgHhdxY3ARmad3HK3r0aNHuHTpEkaPHq2BioiImoZ7UsSNwUVk7t+/X+97iUQCQ0ND+Pn5Yfbs2RqqiohIfQwu4sbToUmlsLAQ7du3b9Zredor1cXToakxQp0OnVeRo3ZfW+POgiyTWg9OzhUZFxcXFBUVNWi/d+8evLy8NFAREVFTqX+vItI9PFQkAidPnsT58+cBADU1NVi7di2MjIzq9cnNzeXdR4lIKzCOiBuDiwj07dsXMTExqrOGcnNzYWDw13+9RCKBXC5HWFiYpkokImoCRhcx4xwXkfnggw8QERHR5Fu6vwjnMlBdnONCjRFqjktB5T21+1rLOgqyTGo9OMdFZL7++mtcvnwZZ86cUbUtX74c586d02BVRETq4wXoxI3BRWQOHz6MhQsX4o8//lC1KRQKBAQE4OTJkxqsjIhIPQwu4sZDRSIzevRo+Pn5wcfHp177wYMHsX//fpw4caJZ4/KQANXFQ0XUGKEOFT2ozFO7r5XMVpBlUuvBPS4ic//+fQwZMqRB+9ChQ5Gdna2BioiImkYikaj9IN3D4CIynTp1QmJiYoP2K1euwNraWgMVERERqY+nQ4vMjBkzsG7dOmRnZ8PV1RUAkJqaiujoaAQGBmq4OiKiF+PcFXHjHBcRioyMxN69e1FYWAgAsLa2hr+/P0aNGgUrK6tmjcm5DFQX57hQY4Sa4/LwcaHafdsaNe82JtR6MbiI2MOHD2FoaIi0tDTExsbixx9/RGpqarPG4gaK6mJwocYIFVyKFQ/U7mshbd6HMWq9eKhIpMrKynDixAnExcXh7t27kEqlmDBhgqbLIiJSAw8ViRmDi8ikpqYiLi4OJ0+eREVFBSQSCXx9feHv74927dppujwiohdibBE3BhcRqKysxLfffovY2FikpaVBLpfDy8sLY8aMQUBAAHx8fBhaiEiLMLqIGYOLCIwYMQLV1dUYMWIE/P398eabb0IqlQIAOMWJiLQNr88ibryOiwgolUrI5XLIZDI8efIESqVS0yURETUbL/kvbtzjIgIXL17Ed999hyNHjuDo0aOQyWRwd3fHmDFj+MmFiLQQ/26JGU+HFpnMzEwcOXIE33zzDQoLCyGRSPDuu+9i7ty5cHR0bPa4PO2V6uLp0NQYoU6HfvSkRO2+poZtBFkmtR4MLiJVXV2Ns2fP4ujRozh79iyqqqowZMgQREVFNWs8bqCoLgYXaoxQweVfylK1+8oNzAVZJrUeDC6EoqIiHDt2DEePHkVCQkKzxuAGiupicKHGCBdcytTuKzcwE2SZ1HowuJAguIGiuhhcqDFCBZdy5SO1+5oYmAqyTGo9ODmXiIi0Ck8qEDcGFxKEUJ+kSLdwvSAiofFQEREREWkNXoCOiIiItAaDCxEREWkNBhciIiLSGgwuREREpDUYXIiIiEhrMLgQERGR1mBwISIiIq3B4EJERERag8GFiIiItAaDC+ksDw8PODk5qR4uLi4YOHAgZs2ahV9++UXw5WVlZcHJyQlJSUkAgKVLl2LatGlqvbampgbHjh3Dn3/++dw+1dXV+PLLLzF8+HC4urpizpw5yMrKEqR2MdG19aKunTt3qj02kbZicCGdNnPmTFy4cAEXLlzAuXPncODAAchkMsyZMwf37t1r0WWHhIRg+/btavVNTEzE0qVLUVFR8dw+ERERiI2Nxdq1a3Hw4EHo6+vDz88Pjx8/Fqpk0dCl9eKpmJgYhIeHv2x5RK0egwvpNGNjY7Rv3x7t27eHtbU1unfvjjVr1qCiogI//PBDiy7bzMwMFhYWavV90S3DFAoF9uzZgwULFsDd3R3Ozs4IDw/HgwcPcOrUKSHKFRVdWS8AID8/H/Pnz8fnn38Oe3v7ly2PqNVjcCHRMTCovSm6kZERgNpDB+vXr8e4cePg5uaGn376CQBw5MgRvPPOO+jduzdGjx6NXbt2QalUqsbJyMiAr68v+vbtCy8vLyQnJ9dbzrOHBHJychAYGIiBAwfCzc0NgYGByMvLQ1JSEmbPng0A8PT0xNatWxvUnJ6ejvLycgwZMkTVZmpqih49eiAlJUWgd0bctHG9AIC0tDTI5XLEx8fD1dVVuDeEqJUy0HQBRK9Sfn4+1q9fDxMTE4wYMULVvn//fkRERMDKygoODg44cOAANm/ejBUrVqBv377IyMhAaGgocnJyEBoairKyMsyaNQt9+vTBoUOHUFBQgOXLlz93uWVlZZgxYwYcHR0RFRUFQ0NDhIaGYv78+Th06BA2b96MRYsW4fDhw3B0dGy0bgCwsbGp125tbY379+8L9O6Il7auF0BtwPLw8BD8PSFqrRhcSKdFRkYiOjoaAKBUKqFQKODg4IDNmzejY8eOqn7Dhg2Du7u76vsdO3bA398f3t7eAIDOnTtDoVBg8eLFWLx4Mb7//nuUl5djw4YNaNOmDbp3746lS5di4cKFjdaRkJCAkpISfPHFF2jbti0A4LPPPsOhQ4egUCjQpk0bAEC7du0gl8sbvP7pHAepVFqvXSqVQqFQNPftES1dWS+IxIjBhXSaj48PZs2aBQDQ09ODhYUFzMzMGvSzs7NT/buoqAj5+fnYsmULtm3bpmqvrq5GdXU1MjMzkZGRgc6dO6s2LADQr1+/59aRkZGBLl26qDZOANC1a1csWbJErZ9DJpMBqJ3rUje8KBQKmJiYqDUG/UVX1gsiMWJwIZ1mbm5eb+PzPE+DAVC7IQKAjz/+GMOGDWvQ18bGBidOnGjQbmho+Nzx/+45dXTo0AEAUFBQAFNTU1V7QUEBXn/99ZcaW4x0Zb0gEiNOziV6hqWlJSwtLZGdnQ07OzvV486dO9i0aROUSiVcXFyQlZWFoqIi1etSU1OfO6ajoyOys7NRUlKiart79y4GDRqEW7duQSKR/G1Nzs7OMDU1rTfR89GjR7h+/Trc3Nxe4qcldbXG9YJIjBhciJ4hkUgwb948xMTEIDo6GtnZ2Thz5gxCQkIA1J7NM3bsWFhZWeHDDz/EjRs3kJycjLCwsOeO6e3tjbZt2+Kjjz5Ceno6rl+/jpCQENjZ2cHR0VE1fyE9PR1lZWUNXi+VSvH+++8jPDwcp0+fxo0bNxAcHAwbGxt4eXm1zBtB9bTG9YJIjBhciBoxa9YsLF++HLGxsRgzZgxWrVoFb29vbNiwAQBgYmKC6OhoGBoaYurUqfj4448xb968545nbGyMyMhIAMD06dMxe/ZsdOjQAdu3b4dEIoGzszM8PDwQHByMLVu2NDpGUFAQfHx8sHLlSkybNg01NTXYvXt3gwm71HJa43pBJDaSGnWucERERETUCnCPCxEREWkNBhciIiLSGgwuREREpDUYXIiIiEhrMLgQERGR1mBwISIiIq3B4EJERERag8GFiIiItAaDCxEREWmN/wOq0CpRSdMLlgAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6357,6 +6606,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9712775460675802\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6367,13 +6617,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56602   261]\n",
-      " [   12    86]]\n"
+      "[[55776  1087]\n",
+      " [    9    89]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6385,6 +6635,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9860274623540217\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6395,13 +6646,13 @@
       "Number of Xs and Ys for SMOTE:\n",
       "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[56562   301]\n",
+      "[[55711  1152]\n",
       " [   13    87]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6413,18 +6664,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9728519423878443\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9947122101953976, 'sensitivity': 0.8719591836734694, 'specificity': 0.9949246434412535, 'precision': 0.2295322990281921, 'f1': 0.36331218634486856, 'auc': 0.9334419135573615, 'actual_accuracy': 0.8808943089430894}\n"
+      "{'accuracy': 0.9803375674715842, 'sensitivity': 0.8984897959183673, 'specificity': 0.9804793978509752, 'precision': 0.07430513623411596, 'f1': 0.13719731117066886, 'auc': 0.9798489330065424, 'pr_auc': 0.7104730757077775, 'actual_accuracy': 0.9113821138211383}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -6432,28 +6684,29 @@
     }
    ],
    "source": [
-    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'smote', 'RandomForestminus2', 'Random Forest with SMOTE Sampling and depth -2', 5)"
+    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'smote', 'SVM_Linear0.5', 'Linear SVM with C=0.5 and SMOTE Sampling', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9947122101953976,\n",
-       " 'sensitivity': 0.8719591836734694,\n",
-       " 'specificity': 0.9949246434412535,\n",
-       " 'precision': 0.2295322990281921,\n",
-       " 'f1': 0.36331218634486856,\n",
-       " 'auc': 0.9334419135573615,\n",
-       " 'actual_accuracy': 0.8808943089430894}"
+       "{'accuracy': 0.9803375674715842,\n",
+       " 'sensitivity': 0.8984897959183673,\n",
+       " 'specificity': 0.9804793978509752,\n",
+       " 'precision': 0.07430513623411596,\n",
+       " 'f1': 0.13719731117066886,\n",
+       " 'auc': 0.9798489330065424,\n",
+       " 'pr_auc': 0.7104730757077775,\n",
+       " 'actual_accuracy': 0.9113821138211383}"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6466,44 +6719,44 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Random Forest\n",
-    "\n",
-    "### Sampling types:\n",
-    "naive,smote,smote,smote\n",
-    "\n",
-    "### Depth:\n",
-    "sqrt(num of features), sqrt(num of features), sqrt(num of features)-1, sqrt(num of features)-2\n",
-    "\n",
-    "sensitivity: 0.8598, 0.8740, 0.8740, 0.8720 <br>\n",
-    "precision: 0.4530, 0.2907, 0.2536, 0.2295 <br>\n",
-    "f1: 0.5918, 0.4348, 0.3930, 0.3633 <br>\n",
-    "auc: 0.9290, 0.9351, 0.9348, 0.9334\n",
-    "\n",
-    "### Best model is SMOTE sampling with tree depth = sqrt(num of features)\n",
-    "### As number of features/depth decrease, all metrics worsen\n",
-    "## Likely that there is still more room for improvement in sensitivity/auc if we increase depth (possible current underfitting)\n",
-    "\n"
+    "### Turns out that SVM has very good AUC values, like logistic regression, although the precision and f1 scores are lower\n",
+    "### This means these models can detect more fraud cases (recall higher) which is very valuable for fraud detection"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Random Forest has slightly lower AUC (0.9290, 0.9351) than Logistic Regression or SVC but the f1 values (0.5918, 0.4348) and precision (0.4530, 0.2907) is a lot better\n",
-    "### It is a great model in terms of balancing both AUC and f1/precision\n",
-    "### There are lesser False Positive while still keeping a large proportion of right guesses of fraud (True Positive)"
+    "# SVM was confirmed to have the highest AUC value with C=0.5 and naive sampling\n",
+    "## Previously, we have confirmed that V24 can be removed during forward selection as it was above significance level\n",
+    "## Hence we run a new model of SVM with feature V24 removed\n",
+    "### We try both naive and smote sampling"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 53,
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
+     ]
+    }
+   ],
    "source": [
-    "# Now, we try to use XGBoost with various depths and sampling (naive, smote) to find it's results"
+    "varlist2 = []\n",
+    "for col in varlist:\n",
+    "    if col != 'V24':\n",
+    "        varlist2.append(col)\n",
+    "print(varlist2)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 54,
    "metadata": {
     "scrolled": true
    },
@@ -6517,34 +6770,13 @@
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.023955\tvalidation_1-error:0.021383\n",
-      "[5]\tvalidation_0-error:0.012334\tvalidation_1-error:0.007725\n",
-      "[10]\tvalidation_0-error:0.008184\tvalidation_1-error:0.004494\n",
-      "[15]\tvalidation_0-error:0.006454\tvalidation_1-error:0.003336\n",
-      "[20]\tvalidation_0-error:0.001068\tvalidation_1-error:0.002826\n",
-      "[25]\tvalidation_0-error:0.000835\tvalidation_1-error:0.002142\n",
-      "[30]\tvalidation_0-error:0.00067\tvalidation_1-error:0.001826\n",
-      "[35]\tvalidation_0-error:0.000646\tvalidation_1-error:0.001668\n",
-      "[40]\tvalidation_0-error:0.000561\tvalidation_1-error:0.001545\n",
-      "[45]\tvalidation_0-error:0.000477\tvalidation_1-error:0.001404\n",
-      "[50]\tvalidation_0-error:0.000422\tvalidation_1-error:0.001282\n",
-      "[55]\tvalidation_0-error:0.000352\tvalidation_1-error:0.001124\n",
-      "[60]\tvalidation_0-error:0.000321\tvalidation_1-error:0.001106\n",
-      "[65]\tvalidation_0-error:0.00027\tvalidation_1-error:0.000948\n",
-      "[70]\tvalidation_0-error:0.000202\tvalidation_1-error:0.00086\n",
-      "[75]\tvalidation_0-error:0.000187\tvalidation_1-error:0.000825\n",
-      "[80]\tvalidation_0-error:0.00013\tvalidation_1-error:0.000808\n",
-      "[85]\tvalidation_0-error:0.000103\tvalidation_1-error:0.00079\n",
-      "[90]\tvalidation_0-error:9e-05\tvalidation_1-error:0.000772\n",
-      "[95]\tvalidation_0-error:7.7e-05\tvalidation_1-error:0.00072\n",
-      "[99]\tvalidation_0-error:6.8e-05\tvalidation_1-error:0.000702\n",
-      "[[56839    24]\n",
-      " [   16    82]]\n"
+      "[[55838  1025]\n",
+      " [    6    92]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6556,6 +6788,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9930586834737413\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6564,34 +6797,13 @@
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.030855\tvalidation_1-error:0.016345\n",
-      "[5]\tvalidation_0-error:0.025276\tvalidation_1-error:0.007426\n",
-      "[10]\tvalidation_0-error:0.00858\tvalidation_1-error:0.004793\n",
-      "[15]\tvalidation_0-error:0.004445\tvalidation_1-error:0.003933\n",
-      "[20]\tvalidation_0-error:0.001633\tvalidation_1-error:0.003371\n",
-      "[25]\tvalidation_0-error:0.001499\tvalidation_1-error:0.00309\n",
-      "[30]\tvalidation_0-error:0.001238\tvalidation_1-error:0.002668\n",
-      "[35]\tvalidation_0-error:0.001172\tvalidation_1-error:0.002546\n",
-      "[40]\tvalidation_0-error:0.001071\tvalidation_1-error:0.00251\n",
-      "[45]\tvalidation_0-error:0.000866\tvalidation_1-error:0.002124\n",
-      "[50]\tvalidation_0-error:0.000752\tvalidation_1-error:0.001896\n",
-      "[55]\tvalidation_0-error:0.000648\tvalidation_1-error:0.001562\n",
-      "[60]\tvalidation_0-error:0.000499\tvalidation_1-error:0.001246\n",
-      "[65]\tvalidation_0-error:0.00038\tvalidation_1-error:0.001088\n",
-      "[70]\tvalidation_0-error:0.000308\tvalidation_1-error:0.000913\n",
-      "[75]\tvalidation_0-error:0.000262\tvalidation_1-error:0.000825\n",
-      "[80]\tvalidation_0-error:0.000222\tvalidation_1-error:0.000737\n",
-      "[85]\tvalidation_0-error:0.000178\tvalidation_1-error:0.000702\n",
-      "[90]\tvalidation_0-error:0.000145\tvalidation_1-error:0.00065\n",
-      "[95]\tvalidation_0-error:0.000121\tvalidation_1-error:0.000632\n",
-      "[99]\tvalidation_0-error:9.9e-05\tvalidation_1-error:0.000562\n",
-      "[[56844    19]\n",
-      " [   13    85]]\n"
+      "[[55708  1155]\n",
+      " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6603,6 +6815,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9803841097489239\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6611,34 +6824,13 @@
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.022965\tvalidation_1-error:0.027545\n",
-      "[5]\tvalidation_0-error:0.009769\tvalidation_1-error:0.006952\n",
-      "[10]\tvalidation_0-error:0.005412\tvalidation_1-error:0.006004\n",
-      "[15]\tvalidation_0-error:0.003834\tvalidation_1-error:0.005232\n",
-      "[20]\tvalidation_0-error:0.002091\tvalidation_1-error:0.004442\n",
-      "[25]\tvalidation_0-error:0.001679\tvalidation_1-error:0.00381\n",
-      "[30]\tvalidation_0-error:0.001376\tvalidation_1-error:0.003371\n",
-      "[35]\tvalidation_0-error:0.001097\tvalidation_1-error:0.002826\n",
-      "[40]\tvalidation_0-error:0.000947\tvalidation_1-error:0.002352\n",
-      "[45]\tvalidation_0-error:0.000789\tvalidation_1-error:0.002019\n",
-      "[50]\tvalidation_0-error:0.000706\tvalidation_1-error:0.001861\n",
-      "[55]\tvalidation_0-error:0.000627\tvalidation_1-error:0.00172\n",
-      "[60]\tvalidation_0-error:0.000539\tvalidation_1-error:0.001527\n",
-      "[65]\tvalidation_0-error:0.000464\tvalidation_1-error:0.001387\n",
-      "[70]\tvalidation_0-error:0.000372\tvalidation_1-error:0.001211\n",
-      "[75]\tvalidation_0-error:0.000301\tvalidation_1-error:0.001018\n",
-      "[80]\tvalidation_0-error:0.000259\tvalidation_1-error:0.000878\n",
-      "[85]\tvalidation_0-error:0.000211\tvalidation_1-error:0.000843\n",
-      "[90]\tvalidation_0-error:0.000196\tvalidation_1-error:0.00079\n",
-      "[95]\tvalidation_0-error:0.000178\tvalidation_1-error:0.000685\n",
-      "[99]\tvalidation_0-error:0.000138\tvalidation_1-error:0.000667\n",
-      "[[56844    19]\n",
-      " [   19    79]]\n"
+      "[[55919   944]\n",
+      " [   11    87]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6650,6 +6842,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.973480836683371\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6658,34 +6851,13 @@
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.029776\tvalidation_1-error:0.00718\n",
-      "[5]\tvalidation_0-error:0.013807\tvalidation_1-error:0.003336\n",
-      "[10]\tvalidation_0-error:0.006727\tvalidation_1-error:0.004055\n",
-      "[15]\tvalidation_0-error:0.002796\tvalidation_1-error:0.003827\n",
-      "[20]\tvalidation_0-error:0.001321\tvalidation_1-error:0.003494\n",
-      "[25]\tvalidation_0-error:0.001121\tvalidation_1-error:0.00323\n",
-      "[30]\tvalidation_0-error:0.000868\tvalidation_1-error:0.002686\n",
-      "[35]\tvalidation_0-error:0.000723\tvalidation_1-error:0.002212\n",
-      "[40]\tvalidation_0-error:0.000605\tvalidation_1-error:0.002054\n",
-      "[45]\tvalidation_0-error:0.000554\tvalidation_1-error:0.001984\n",
-      "[50]\tvalidation_0-error:0.000506\tvalidation_1-error:0.001685\n",
-      "[55]\tvalidation_0-error:0.000459\tvalidation_1-error:0.001562\n",
-      "[60]\tvalidation_0-error:0.000361\tvalidation_1-error:0.001404\n",
-      "[65]\tvalidation_0-error:0.000301\tvalidation_1-error:0.001282\n",
-      "[70]\tvalidation_0-error:0.000279\tvalidation_1-error:0.001229\n",
-      "[75]\tvalidation_0-error:0.000222\tvalidation_1-error:0.001088\n",
-      "[80]\tvalidation_0-error:0.00016\tvalidation_1-error:0.000895\n",
-      "[85]\tvalidation_0-error:0.00013\tvalidation_1-error:0.000772\n",
-      "[90]\tvalidation_0-error:0.000119\tvalidation_1-error:0.000702\n",
-      "[95]\tvalidation_0-error:8.1e-05\tvalidation_1-error:0.000667\n",
-      "[99]\tvalidation_0-error:7.7e-05\tvalidation_1-error:0.000614\n",
-      "[[56846    17]\n",
-      " [   18    80]]\n"
+      "[[55845  1018]\n",
+      " [    9    89]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6697,6 +6869,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.98659865261547\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6705,34 +6878,13 @@
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.023908\tvalidation_1-error:0.010621\n",
-      "[5]\tvalidation_0-error:0.018558\tvalidation_1-error:0.007795\n",
-      "[10]\tvalidation_0-error:0.009719\tvalidation_1-error:0.005425\n",
-      "[15]\tvalidation_0-error:0.0029\tvalidation_1-error:0.004108\n",
-      "[20]\tvalidation_0-error:0.001372\tvalidation_1-error:0.003599\n",
-      "[25]\tvalidation_0-error:0.001038\tvalidation_1-error:0.002774\n",
-      "[30]\tvalidation_0-error:0.000785\tvalidation_1-error:0.002405\n",
-      "[35]\tvalidation_0-error:0.000666\tvalidation_1-error:0.002036\n",
-      "[40]\tvalidation_0-error:0.000554\tvalidation_1-error:0.001966\n",
-      "[45]\tvalidation_0-error:0.000525\tvalidation_1-error:0.001826\n",
-      "[50]\tvalidation_0-error:0.000486\tvalidation_1-error:0.001633\n",
-      "[55]\tvalidation_0-error:0.000437\tvalidation_1-error:0.001475\n",
-      "[60]\tvalidation_0-error:0.000365\tvalidation_1-error:0.001299\n",
-      "[65]\tvalidation_0-error:0.00033\tvalidation_1-error:0.001159\n",
-      "[70]\tvalidation_0-error:0.000257\tvalidation_1-error:0.001018\n",
-      "[75]\tvalidation_0-error:0.000209\tvalidation_1-error:0.000966\n",
-      "[80]\tvalidation_0-error:0.000178\tvalidation_1-error:0.000948\n",
-      "[85]\tvalidation_0-error:0.000163\tvalidation_1-error:0.000895\n",
-      "[90]\tvalidation_0-error:0.000136\tvalidation_1-error:0.000808\n",
-      "[95]\tvalidation_0-error:0.000121\tvalidation_1-error:0.00079\n",
-      "[99]\tvalidation_0-error:0.00011\tvalidation_1-error:0.000755\n",
-      "[[56838    25]\n",
-      " [   18    82]]\n"
+      "[[55823  1040]\n",
+      " [   13    87]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6744,18 +6896,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9723055413889523\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9993399045302995, 'sensitivity': 0.8293061224489795, 'specificity': 0.9996342085363066, 'precision': 0.7976224910351628, 'f1': 0.8128823055873342, 'auc': 0.914470165492643, 'actual_accuracy': 0.7963414634146343}\n"
+      "{'accuracy': 0.9816331769855424, 'sensitivity': 0.9005306122448979, 'specificity': 0.981773736876352, 'precision': 0.07902751867029113, 'f1': 0.14526629817994746, 'auc': 0.9811655647820917, 'pr_auc': 0.7209496546686622, 'actual_accuracy': 0.9101626016260163}\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZkAAAEkCAYAAAD98UxlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1hT59sH8G8YIewpSxQcDYhVrICAglapqNUqOOrC1okLsFat47WILa1aRahiHbVo66C22jqxdbd14B4/lbbYKqACkSEQViA57x8pCTEJnigJw/tzXVyakyfnuc8jcnPOszgMwzAghBBCtECvsQMghBDSclGSIYQQojWUZAghhGgNJRlCCCFaQ0mGEEKI1lCSIYS0WDR4tvEZNHYApGlbtGgRfv75Z6XjJiYmcHZ2xqBBgzBz5kzo6+srvJ+Tk4OtW7fi999/R25uLiwsLODh4YF3330XAwYMUFmXQCDAd999h5MnTyInJwempqbw8PDAlClT0LNnT61cX2P7+++/sXjxYvz9998wMzPDqVOnYGxs3CDnLi8vR1hYGIRCIQ4dOgQbGxuF969du4YJEyZg6tSpmDt3ruy4SCTCDz/8gCNHjuDBgwcoLS2Fvb09AgICMHXqVLRr105W9qeffsLixYsVzmtoaAgnJycMGjQIs2fPhpGRUYNcjyZEIhHWrl0Ld3d3hIWF6bx+IkdJhjyXjY0N1q9fr3Ds6dOnSE1Nxfr161FVVYV58+bJ3ktLS0NkZCSsra0xfvx4uLu7o7i4GMePH8ecOXMwePBgrFq1CgYG8m+/GzduYObMmTA3N8f48ePRoUMHlJSU4KeffsKkSZOwZMkSvP/++zq7Zl1Zv349Hjx4gPj4eFhZWTVYggGkvwisWbMGY8eOxZIlS7Bp0ybZe4WFhZg7dy66deuG6Oho2XGBQICIiAhkZmZi9OjRmDp1KkxMTPDvv/9i586dGD58OL755ht0795doa6EhATY29sDACorK5Geno6kpCQIBAKsXLmywa6JLYFAgG3btiEuLk7ndZNnMITUY+HChUxQUJDa9999913G399f9jo3N5fx9fVl3n//faa8vFyp/KFDhxg+n88kJibKjhUXFzO9e/dmRo0axQiFQoXyEomEiY6OZjp16sQ8ePCgAa6oaQkPD2dGjx6t1To2bdrE8Pl8ZufOnQzDSNt08uTJjJ+fH5Obm6tQdtKkSUz37t2Ze/fuKZ2nvLycGTp0KDNo0CDZsX379jF8Pl/lv018fDzj4eHBlJaWNvAVPV92djbD5/OZH374Qed1E0XUJ0NeipmZmcLr7777DkKhEJ999pnK38qHDBmCgQMHYtu2bSgrKwMA7N+/H7m5uVi6dClMTU0VynM4HMybNw9jxoxBRUWF2jgYhsGOHTswePBgdO3aFcHBwdiwYQPEYjEA6R2Du7s7ampqFD7Xu3dvLFq0SPba3d0dX331FUaPHo2uXbti6dKl6NSpE7Zv367wuYqKCrzxxhtISEgAAEgkEmzduhUhISF4/fXX8dZbb+Gbb76pt0/A3d0dly5dwvXr1+Hu7i67WxQIBFiyZAnefPNNdO3aFcOHD8eJEyeUPls3zlWrVqmtZ9q0aejRowe++OIL/Pvvv/j6669x7tw5rFq1Cg4ODrJyV69exblz5xAVFYUOHTooncfY2Bhz586Fp6cnSktL1dZXy8rKSukYm2urqqrCV199hYEDB6JLly7o378/Nm/eLPu3BIDs7GxERkbC398fXbt2RVhYGA4fPgwAuHjxIoKDgwEAS5cuxYQJE54bK9EeelxGWKn7w1kikaCwsBAHDx7EuXPnMGnSJNl7v//+Ozw8PNC6dWu15xoyZAh++eUXnD9/Hv3798dvv/0GW1tbdO3aVWX5tm3bIiYmpt74EhISsGXLFoSHh+Ojjz7CX3/9hXXr1qGiogLz58/X6Fq/+uorTJ8+HdOnT4e9vT0ePXqEI0eOYOLEibIyp06dQnl5OYYNGwYA+PTTT7Fnzx5MnjwZvr6+uHbtGtasWYOCggJ89NFHKuvZtWsX4uLiIBaLsWzZMjg7OyM/Px8jR46EgYGB7JHjzz//jNmzZ2PlypUK/QvPxqmOnp4evvjiCwwbNgxz5szB/fv3MXXqVPTp00eh3PHjx8HhcDB06FC153rzzTfx5ptvKh0Xi8Wy7xGRSIS7d+9ix44dGD58uOwXETbXxjAMZsyYgevXr2PGjBno1KkTLl26hC+//BIPHjzAihUrIJFIEBERASsrK8TFxcHIyAh79+7FvHnz4OjoCE9PT3z55ZeYM2cOpk2bhnfeeUft9RDtoyRDnisvLw+dO3dWOt66dWvMmTMHU6dOlR17+PAhevfuXe/52rZtCwB49OgRACA3NxcuLi4vHF9paSmSk5MxZswYLF26FADQp08flJWVIS0tDRKJRKPzderUCVFRUbLXw4YNw8KFC5GVlSWL/dChQ+jatSvat2+PBw8eICUlBZGRkYiMjJTVb2xsjHXr1mHChAlwcnJSqsfHxwfm5uaoqamBj48PAGD16tUoLCzEkSNH4OrqCgAIDg7Ge++9hy+++ALvvPOOrC/r2Tjr4+TkhIULF2LJkiVwdXXFBx98oFQmKysLlpaWSgMEJBKJUhvq6+uDw+HIXg8aNEjpfG5ubpgzZ47s9bZt2557befOncP58+exatUqhIaGApC35fr16/H+++/Dzs4O//77L9asWYO33noLAODv7w8HBwdwOByYm5vj9ddfBwC4urrC3d2dVRsR7aDHZeS5bG1tsXfvXuzduxfbt29HYGAgLC0tERMTg5kzZ8LQ0FBWlmEYhQ59VWrfr32UpK+vr/AoRFM3btxAdXW10qi1uXPnYs+ePdDT0+zbnM/nK7wOCQmBiYmJ7HHM06dPcfbsWdkPwbS0NDAMg7feegs1NTWyr/79+0MsFiMtLY113ZcuXUKXLl1kP4RrhYaGorCwEPfu3VMbZ30YhsGvv/4KDoeDrKwsXLhwQamMRCJRSBy1Zs6cic6dOyt8PTvicMOGDbLvkd27d8sGdowaNQq5ubmsr+3SpUvQ09PD22+/rVSm9hy2trZwd3fHxx9/jMWLFyM1NRVCoRBLliyBt7c36zYhukFJhjyXgYEBunTpgi5duiAgIACbNm1Chw4dEBkZiatXryqUdXFxkd2hqJOdnQ0AcHZ2lv35+PFjVp9RpaioCABgZ2f33Gth49nzmJiYYMCAAThy5AgA4JdffgEA2Q/C2vqHDRum8IO49v28vDzWdRcXF6NVq1ZqY6rbF6LJ9X7zzTf47bffsGLFCri4uGDx4sUoLCxUKNO6dWs8ffoUQqFQ4fiSJUtkCWTDhg0qz//aa6/Jvke8vb0RGhqKr7/+GgKBAFu3bmV9bcXFxbCwsACXy1UoU/u5kpIScDgcbNu2De+++y7S0tIwd+5c9OrVC9OnT5clNNJ0UJIhGjM0NMTKlSuhp6eHhQsXoqqqSvZecHAw/ve//+Hhw4dqP3/06FHweDz06tULABAUFITCwkLcunVLZflHjx6hf//+WL16tcr3LSwsAEDph6ZAIMCFCxdQWVkp+w392cc+tYMPnmfYsGG4d+8e/v77bxw+fBi9e/eGtbW1Qv3btm2T/TCu+6XJPA1LS0s8efJE6bhAIAAAWZ2auHnzJhITExEaGoqwsDCsWrUKhYWFSvNbgoODwTCMLInWcnV1lSWQ1157jXW9zs7OsLS0xIMHDwCwuzZLS0uUlJRAJBKpLQNI766XLFmC06dP4+jRo/jggw9w8eJFLFu2jHV8RDcoyZAX4urqioiICGRnZ2PLli2y4xMmTIC5uTkWLVqE8vJypc8dO3YMBw4cwHvvvSfrEB46dChatWqFzz//XOkzDMNg5cqV4HA4an9Yd+3aFYaGhjh+/LjC8V27dmHmzJlgGEZWV907pjt37ij91q6Ov78/nJ2d8f333+Pq1auyxzcA4OvrCwAoKCiQ/TDu0qULysvLsWbNGtkPSDZ8fX3xv//9D1lZWQrHDx48CBsbG4WJkGyUlJRg7ty5cHZ2lg2e8Pb2RkREBM6cOYMdO3bIygYEBMDPzw+rV69GRkaGyvOlp6ezrvvBgwcoKiqCm5sb62vr0aMHJBIJUlNTFcocOHBAFvv169fRs2dP2S8l7du3R0REBPz8/GR30c9ODiaNhzr+yQubNm0a9u/fj6+//hqhoaFo06YN7OzssH79ekRGRiI0NBQTJkxAx44dUVZWhpMnT2L//v0YMGCAQoewubk5Vq1ahcjISIwYMQLjx49H+/btIRAIsGfPHly7dg2xsbHo2LGjyjhsbGzw3nvvYdu2bTA0NETPnj2Rnp6Ob775BtOnT4exsTH69u2LlStXYunSpZg2bRqKioqQlJSkcpitKhwOB++88w62bt0KCwsLhRFWfD4foaGhiImJQXZ2Nry8vJCVlYUvv/wSdnZ2GnU8T5o0CQcPHsTEiRMxa9Ys2NjYYP/+/bh48SLi4uI0/uG5ZMkSCAQC7N69W2F4eGRkJM6ePYvVq1fDz88PfD4fHA4Ha9eulf07hIWFoWfPnrCwsEB2djZ+/fVXnD17Fh07doSXl5dCPXfu3FG4S3n48CE2bdoEExMT2RBiNtfWu3dv+Pn5ITY2Fnl5eejUqRMuX76Mb775BkOGDIGHhweqqqpgbGyM+fPnY9asWbC3t8fNmzdx9uxZzJo1C4D0ewqQ9pd16tRJNhCANILGmqBDmofnTcY8efIkw+fzmZkzZyocf/z4MbNy5UpmwIABTNeuXZmAgABm8uTJzNGjR9WeKyMjg1myZAkTHBzMdOnShenVqxczbdo05vLly8+NUyKRMMnJyUz//v2Zzp07MyEhIcy2bdsYiUQiK3Po0CFm4MCBTOfOnZm3336b+eWXX5j333+fWbhwoawMn89n1q5dq7KOf/75h+Hz+cyyZcuU3qupqWE2btwoqz8wMJBZunQp8+TJk3rjDg8PZ8aMGaNwLCsri5kzZw7j6+vLdO3alRk1ahRz7NgxhTL1xVnru+++Y/h8PrN582aV79+/f5/p1q0bM2TIEKayslLhWvbu3ctMnDiR6dmzJ9O5c2emV69ezIwZM5jDhw8z1dXVsrK1kzHrfnXq1IkJCAhgZs2axaSnp2t8beXl5czKlSuZ3r17y/4tN2/ezNTU1MjKZGZmMtHR0bL4QkJCmC1btij8e69evZrx8vJi3n777XrbiWgXh2FoBTlCCCHaoXGfTFlZGfLy8pQ65l7E5s2bMXbs2HrLVFVVYfny5QgICMAbb7yB6Oho5Ofnv3TdhBBCtI9Vn8zJkydx6NAhpKWlobi4WHbcxsYGQUFBGDRokNLs4efZtWsXEhIS8MYbb9RbbtmyZbh27RrWr18PLpeL2NhYREVFISUlRaP6CCGE6F69j8suXLiAzz//HP/88w+6deuGLl26oHXr1jA2NkZxcTFyc3Nx9epV/PXXX+Dz+ViwYIFsWKo6eXl5WLZsGS5evAhHR0dYWVmpTRi5ubno27cvNm3aJEtimZmZCAkJwa5du2SzpAkhhDRNau9k4uLi8Ouvv2LixIkYMmSIwkJ6z8rLy8MPP/yAjz76CAMHDsTHH3+stuydO3dgamqKgwcPYsOGDcjMzFRb9tq1a5BIJOjRo4fsmKurKxwdHXH58mVKMoQQ0sSpTTI8Hg+//vorTExMnnsSBwcHREVFYdKkSfjqq6/qLduvXz/069ePVXB5eXkq99iwt7dHTk4Oq3MQQghpPGqTjKYr1wLSZd/VrTj7IioqKhTWxarF5XIbZOABIYQQ7WLV8T98+HCMGDEC77zzjmwJDV3g8Xiorq5WOi4SiVjdYdVVVFQGiYRGa9vamqGggN0s95aO2kKO2kKuObSFRCJBSVk1npZVoai0Ck+FIjwVVuFpaRWKhCIUl1ahQqS4d5IehwNLUy6szI1gZW4EazMjWJoZwdqcCyszI1iaGsHYSD7ZV0+PA2tr02er1hirJNO2bVusWrUKq1atQnBwMEaOHPncDv6G4OjoiOLiYlRVVSnsEy4QCODo6KjRuSQShpLMf6gd5Kgt5Kgt5BqzLRiGQUVVDQpKqlBQUonCksr//pS/LiqtwrNDtkx5BrC14MHGgoeOrS1hY2EEGwvef8eMYGVmBD095VW269LGdbNKMomJiSgpKcGhQ4fw888/Y8qUKXB0dERoaChGjBiBNm3aNHhgAGTLdl+6dAlBQUEApKPLcnNzZetFEUJIc1IjlqCotAqFzySOgpIqWUKpFClufaGvx4GNhRFsLXjwaGv9X/IwkiUVGwsj8LhNc5Uw1lFZWFhg/PjxGD9+PDIyMpCamooTJ05g8+bN8PHxwZgxYzBgwIDn7iXyPE+ePIGJiQlMTU3h4OCAwYMHY9myZfj8889hamqK2NhY9OjR47nzawghRNcYhkFZZQ0KilXfgRSUVKJYKMKz9wvmJoawseDBwcYEndysFZKHrQUPFqZc6KnY66c5eKGMkJ+fj4KCAuTn58s2nFq8eDESExORmJiochdFtgIDAxEZGSnb8e/TTz/F559/jqioKDAMg6CgoHqHSBNCiLZU14hRWFqFwuJKFJaqvgsRVStuJ2Ggrwfb/x5dvd7OVpY4bCylj7KszY1gZNhyV41mvXbZv//+iwMHDuDgwYPIzc2Fm5sbRo4cibCwMNjY2KCwsBBTp05FZWWl0jLdTUFBgZCeOQNo1cocT56UPr/gK4DaQo7aQnoXUlpeDYm+Hv7JLFRIHLWJpKRMeVSrpSlX9vjK5r87ENs6/SHmJoYqdxxt6vT0OLC1NXvp87C6kxk1ahRu374NHo+HgQMHYuTIkUrbnNrY2KBfv37Yvn37SwdFCCENraparNQP8myfSI1Y8S6Ea6gne3TVxt6sTke6NJFYm/NgaEDbctWHVZJhGAaxsbEYPHiwbPMnVd566y2N1zAjhJCXJWEYlJSJ5H0gKvpEhBWK0yE4AKzMjWBjYQRXR3O8wW8FG3MjtGtjDQOGga0lD6Y8g2Z5F9KUsEoy4eHh6N27t8oEk5eXh4MHD2LatGnw8PBo8AAJIaRSVKP0+KpQ4XUVxM88Djfi6sPuv7uOdk7mCsN5bS14sDI3goG+8l0IPTpsWGqTTO1e6AzDYPHixdixY4fKXQTT0tKwfv16TJs2TXtREkJaLImEwVNhldIorLqvyyqVJxZam0v7Qjo4W8LXg6cwL8TWwgjGRnQX0hSoTTLjx4/HjRs3AEgTTe0WqqrQ1qaEEHXKK2vkiaO0zt1HsbQfpKi0CpJnxh+ZGBnI+j06ulgq3IHYWvBgacaFvh71hTQH9a7CfPToUTAMgw0bNiAsLAzOzs4KZfT09GBhYYG3335b64ESQpqeGrFExV2I4mOtiirliYXW5tKEwW9jJR/SW2dUlrFR05xYSDSn9l+yQ4cOiIyMBAA8fvwYM2bMQNu2bXUWGCGkcdVOLKz7+OrZR1lPhcrLm5gZG8LGwgj2VsbwaGutcBdiY8GDpSn3ucubkJZD7TwZiUQCvf9uR2v7Z+qj18RvXWmejBR1asq96m1RI5bIJhZWA3jw8OkzdyFVqKpWvAsx0OcodaDXnZluY86DEbd5Tyx81b8vaml9nkznzp2xa9cudO/eHZ6envV2oHE4HNy9e/elgyGENAyGYVBaUS1NGMVVKvtESlQsb2Lx3/ImzrameL2drXxSoaU0mZibGDbb5U1I41CbZGbPni3rg5k9ezaN0iCkCamuEcseWSmvjyVNJNU1z0wsNNCT9Xt0bW+rcAfympstmOoacFvw8iakcbBaVqasrAympi+/r0BjosdlUvQoQK6ptoWEYVBaJlJ4dFVQUomiOomkpFx5nyVLM65SB7ptnUdbZsbqlzdpqm3RGKgtpHS6rEyvXr3w1ltvITQ0FL169aK7GkJeQpVIjMLSSrWz0wtLK1EjfmZioaH+f4+spLPTbSx4sDGXL7RobWZEy5uQJolVkpk6dSpSU1Nx+PBhtGrVCu+88w6GDh1KM/wJeYZEwqBYtrxJ7XyQ/+5ASqVJRGl5Ew5gZSZNGG5O5vB2b6XYuW7JgwlNLCTNFOtVmAHgzp07OHToEI4ePQqBQAA+n4+wsDAMGTIEdnZ22ozzpdHjMil6FCD3Im1RUVWjci5I7euiUuXlTYyNDNSu0Fu7Y6Gq5U10ib4v5KgtpBrqcZlGSaYWwzC4dOmSbOl/ALh9+/ZLB6NNlGSk6D+Q3LNtIZZI8LRUpLS0Sd0kUl6lankTI2nisOQp9YnYmPNgwmv6Ewvp+0KO2kJKp30ydYlEIpw+fRqpqan4/fffYWBggODg4JcOhBBtUrVvekW1BA/zSlntm25nyYP7f7PTNd03nZBXGaskI5FIcO7cORw5cgQnTpxAWVkZvL29sWTJEgwaNKje5f8J0YW6+6YXPPM4q3ZU1rP7phvoy5c3aW77phPSXLAeXfb06VO0adMGEydORGhoKFxcXLQdGyEAGm7fdBtznmyElq0FDx1cbVFQIGyUayLkVcEqyfTv3x+hoaHo3r27tuMhr6C6+6Yr7Rny3z7q2tg3nR5zEaJ9rJLMJ598ou04SAtVu2+6uhV6n7dvems7U3T5b3Z6S9g3nZBXjdok8+abbyIpKQmvv/463nzzzXpPwuFwcPr06YaOjTQDqvZNV3ycRfumE/IqU5tkAgICYGFhAQDw9/en3xpfQS+7b7qbozm6/7dvuiyJ0L7phLxSXmiezLNqampgYNC0R+HQPBmpunMAVO2bXnfFXlUTC+vum/7spML69k1vimg+hBy1hRy1hZRO58kEBwdj/fr18PT0VHrv6tWrmDVrFi5evPjSwZCGo27fdGGlGDn5wufum96xtSWsFXYspH3TCSGaU5tktmzZgoqKCgDAo0ePsGPHDjg6OiqVu3nzJqtNzUjDUtg3XalDXf2+6fY2JrAxp33TCSG6oTbJSCQSbNy4EYC0Y//nn39WKqOnpwdzc3N88MEH2ovwFaTNfdPpUQAhRJdY9cl4eHhg9+7dzXqeTFPpk1G1b/qzo7Lq2ze97uOrF9k3nZKMHLWFHLWFHLWFlE77ZE6ePAl7e/uXruxVUF0jQZGwdmKh6kdZ9e2b7qliZnpL2DedEPJqUptkvvzyS4wePRqOjo7Yu3dvvSfhcDiIjo5u8OCaGrX7ptdJJMUqJhbSvumEkFeV2iSzceNGBAUFwdHRUdY3o05LSTKiajGKSl9833SXDor7ptcub0L7phNCXlVqk8yff/6p8u/NlYRhUCysUto3vW4iKa1n3/Q29mbo1tG2znDe5++bTgghr7oXnkGZn5+PvLw8dOrUCXoaDHuVSCRISkrCjz/+iJKSEnh7e2PZsmVwdXVVWV4gEGDFihU4f/48AOnqA4sXL1Y5nLo+//d1GnLyyxWO1d033c3RHDbmdSYX0r7phBDy0lglmYqKCqxYsQJ8Ph/h4eE4fvw45s6dC7FYjPbt2yM5ORkODg6sKtywYQNSUlKwcuVKODg4ID4+HlOmTMGRI0dgZGSkVL72MVxycjI4HA6WL1+OmTNnqhxSXZ+Azk4w5urTvumEEKJDrH5Nj4+Px4EDB2BqagoAWLNmDfh8PhITEyEWixEfH8+qMpFIhOTkZERGRqJPnz7w8PBAQkIC8vPzcfToUaXyhYWFuH79OiIiItC5c2d4enoiIiICd+/eRUFBgQaXCQzo0QbB3i7o9pod2jqYw5RHj7kIIUTbWCWZEydOYN68eQgLC8O9e/eQmZmJiIgIDBgwALNnz8bZs2dZVZaeno7y8nL4+/vLjpmZmcHT0xNXrlxRKm9iYgITExPs378fQqEQZWVlOHz4MNzc3GBlZcXyEgkhhDQWVo/LCgoKwOfzAQBnz56FgYEBAgMDAQB2dnYoLy+v7+MyeXl5AKD0aM3e3h45OTlK5Xk8HlasWIHY2Fj4+PiAw+HAzs4OO3fuhL4+jdgihJCmjlWScXJyQmZmJvz9/XHy5El06dIFZmbSmaBXrlxh3QlfuxYal8tVOM7lciESKc8vYRgGd+/ehZeXFyIiIiAWi5GYmIhZs2bh+++/h7m5Oat6AcDG2hQ8o6a9UrSutGrFvt1aOmoLOWoLOWqLhsPqp+7QoUOxZs0aHDt2DJcvX8Znn30GAIiLi8P333+PyMhIVpXxeDwA0r6ZuolGJBLBxMREqXxqaip27dqFM2fOyBLKxo0b0bdvX/zwww+YMmUKq3oBoLCoDIbNZAl6baIlM+SoLeSoLeSoLaR0uqxMZGQkDAwMcPXqVSxatAgjRowAANy+fRuTJ09GREQEq8qcnJwASIcl194J1b7u2LGjUvmrV6/C1dVV4Y7F0tIS7dq1Q2ZmJqs6a3FAnfyEEKJrrJ8fzZgxQ+nY999/r1FlHh4eMDMzw6VLl9C+fXsAgFAoxN27dzFu3Dil8o6OjsjKykJFRQWMjY0BAOXl5Xj48CEGDx6sUd2EEEJ0j3WSEQqFuHDhAsrLy6Fq4ebQ0NDnnoPL5SI8PBwJCQmws7ODi4sL4uPj4eDggJCQEIjFYhQWFsLc3Bw8Hg+hoaH45ptvMHfuXNl2AomJiTA0NJTdTRFCCGm6WCWZc+fOISoqSu0oMg6HwyrJANLJlWKxGDExMaioqIC3tze2bt0KLpeLhw8fIjg4GCtWrMDw4cNhb2+P3bt3Y/Xq1Zg4cSIAwNvbGykpKbC0tGR3hYQQQhoNq/1khg8fjpqaGixevBhOTk4ql5Fp27atVgJsKDl5JTBgsd9KS0edmnLUFnLUFnLUFlI67fi/d+8eEhMTERAQ8NIVEkIIeXWwGtNrb2+vch4LIYQQUh9WSSY8PBxbtmxBaSndQhJCCGGP9eOyR48eISgoCO3bt5cNJ67F4XCwc+dOrQRICCGk+WKVZDIzM2VrlzVX1OVPCCG6xyrJ7NixQ9txEEIIaYE0WjFSJBLh1q1byMvLQ2BgICoqKjTeoZIQQsirg3WSSUlJQWJiIoqLi8HhcLB3716sXbsWAJCUlKTUT0MIIYSwGl22f/9+LF++HAMGDMDmzZtly8qEhYXh2rVrSEpK0mqQhBBCmidWdzJbt27F2LFjsWzZMucuix0AACAASURBVIjFYtnxIUOGIDc3FykpKViwYIHWgmwItNMyIYToHqs7mczMTPTt21fle507d8aTJ08aNChCCCEtA6skY2dnh7/++kvlexkZGbCzs2vQoAghhLQMrJLM4MGD8dVXX+HgwYOyLZQ5HA5u3LiBzZs3Y9CgQVoNkhBCSPPEqk8mOjoaGRkZ+Oijj8D5r3Nj/PjxqKyshK+vL6Kjo7UaJCGEkOaJVZLhcrnYvHkzzp8/j7S0NBQVFcHc3Bx+fn7o3bu3LPEQQgghdWk0GbNnz57o2bOntmIhhBDSwtTbJyORSHD8+HHcvXtXdiwrKwtz5szBkCFDMG/ePNy/f1/rQRJCCGme1CaZyspKjB8/HtHR0fjjjz8AAEKhEOHh4Th58iRcXFyQnp6OMWPGICcnR2cBE0IIaT7UJpnt27fjr7/+wurVqzFx4kQA0oUyBQIBPv74Y2zatAkHDhyAq6srNm7cqKt4Xxh1GxFCiO6pTTJHjx7F5MmTMWTIEBgZGQEATpw4ATMzM4wYMQIAYGhoiNGjR8vudAghhJC61CaZrKwseHl5yV6XlZXhzz//hI+PDwwM5OMFXFxckJ+fr90oCSGENEvP7fivdf36dYjFYvj5+SmUKS4uhomJiXaiI4QQ0qypTTLt27fH7du3Za9PnToFDoeDXr16KZQ7c+YM2rVrp70ICSGENFtq58mEhoYiMTERtra2YBgG+/btw+uvv66wDfNPP/2EgwcPYv78+ToJlhBCSPOiNsmMGzcOd+/exfLly8EwDJydnbFq1SrZ+/369UNOTg58fX0RHh6uk2AJIYQ0L2qTjL6+PlasWIHo6GgUFBTA3d0dhoaGsvdDQkLQoUMHhIaGKgwEIIQQQmo9Nzs4OTnByclJ6fiiRYu0EhAhhJCWQ23H/xdffIHy8nKNTiYUChUeqTUlNBeTEEJ0T22Sqa6uRkhICLZs2fLcZWNyc3Oxbt06DBgwANXV1Q0eJCGEkOaJwzAMo+7NS5cu4fPPP8fff/+NLl26oEuXLnBxcYGxsTFKSkqQm5uLq1ev4u+//4aHhwcWLFiAgIAAXcbP2pMnJaD7GaBVK3M8eVLa2GE0CdQWctQWctQWUnp6HNjamr30eepNMrVOnz6NQ4cOIS0tDYWFhbLjrVq1QmBgIAYNGoTevXu/dDDaRElGiv4DyVFbyFFbyFFbSDVUkmE1LKxv377o27cvAOnqzCUlJbC2tlYYbUYIIYQ8q95lZVTh8Xiwt7d/4QQjkUiwbt06BAUFwcvLC5MnT0ZmZqba8tXV1YiPj0dQUBC6deuG8PBwpKenv0DNdBdDCCG6pnGSeVkbNmxASkoK4uLisGfPHujr62PKlCmoqqpSWT42NhY//vgjPv30U+zbtw82NjaYOnUqSkpKdBw5IYQQTek0yYhEIiQnJyMyMhJ9+vSBh4cHEhISkJ+fj6NHjyqVz87Oxt69exEXF4c333wTHTp0wGeffQYjIyPcunVLl6ETQgh5ATpNMunp6SgvL4e/v7/smJmZGTw9PXHlyhWl8mfPnoWpqamsPwgAzM3NcerUKQQGBuokZkIIIS9Op0kmLy8PAODg4KBw3N7eXuVcnAcPHsDFxQVnzpzByJEj0atXL0ybNg3//POPTuIlhBDycjRadCwvLw8XLlyAQCBAWFgYBAIB+Hw+60EAFRUVAAAul6twnMvlQiQSKZUXCoV49OgREhMTsWDBAlhZWWHTpk0YN24cjhw5Ajs7O9ax29qaQU+POv8B6RBNIkVtIUdtIUdt0XBYJ5k1a9Zg+/btqKmpke0rs3r1ahQWFmL79u2wsbF57jl4PB4Aad9M3UQjEolUbnxmaGgIoVCINWvWwN3dHQCwdu1a9OnTB/v27cP06dPZho+CQiHw3BlBLR/NAZCjtpCjtpCjtpBqqHkyrB6XJScnIzk5GVFRUThy5Ahq52/OnDkTT548wZdffsmqstqFNgUCgcJxgUCg9AgNABwdHcHhcPDaa6/JjvF4PLRp0wYPHz5kVSchhJDGwyrJpKSkICIiAtOnT4ebm5vsuJ+fH6Kjo3HmzBlWlXl4eMDMzAyXLl2SHRMKhbh79y569OihVN7HxwcMwyjs0FlZWYns7Gy0bduWVZ2EEEIaD6vHZbm5uejevbvK91xdXRWWmqkPl8tFeHg4EhISYGdnBxcXF8THx8PBwQEhISEQi8UoLCyEubk5eDwefHx80LNnTyxcuBCffPIJrK2tsW7dOnA4HAwfPpz9VUI6FZOelhFCiG6xupNxdnbG1atXVb538+ZNODs7s64wOjoao0aNQkxMDMaOHQuGYbB161ZwuVzk5OQgMDAQqampsvJJSUnw9/dHVFQURowYgZKSEnz33XewtbVlXSchhJDGwWqBzK1btyIxMRGzZ89GcHAwhg4diu3bt6OgoAAxMTGYPn06IiIidBHvC8vPL8Xzr7Tlo05NOWoLOWoLOWoLKZ2uwswwDD755BN8//33stccjnQ48LBhw7BixQrZ66aKkowU/QeSo7aQo7aQo7aQ0mmSqZWZmYm0tDQUFRXB3NwcPXr0UBj51ZRRkpGi/0By1BZy1BZy1BZSOl3qPykpCSNHjoSrqytcXV0V3svOzkZycjKWLVv20sFoE4fDgQb5lBBCSANQm2Sys7Nlf9+wYQM6duyIzp07K5U7duwY9u3b1+STDCGEEN1Tm2Q+++wz/PbbbwCkfTBz585VWY5hGAQFBWknOkIIIc2a2iSzfPlynD9/HgzDYMmSJYiIiFCYiAkAenp6sLCwQEBAgLbjJIQQ0gypTTIODg4ICwsDADx+/BgjR46Eo6OjzgIjhBDS/LGajBkZGSlLMAzDQCKRQCKRoKamBqWlpTh9+rRWgySEENI8sRpd9vDhQ8TExODSpUsQi8Uqy6SnpzdoYIQQQpo/Vklm5cqVuHHjBsaMGYNr167B2NgY3bp1w9mzZ5GRkYGkpCRtx0kIIaQZYvW47PLly4iOjsbSpUsxYsQI8Hg8LFiwAPv27YO3tzeOHz+u7TgJIYQ0Q6ySTFlZGTw8PAAAHTt2xJ07dwAABgYGGDt2LC5evKi9CAkhhDRbrJKMvb29bKMxNzc3FBcX48mTJwAAKysrFBQUaC9CQgghzRarJNOnTx+sW7cOly5dgoODA5ydnZGcnIzi4mLs27dP5a6WhBBCCKskEx0dDWtra6xfvx4AMHfuXHz77bfw9/dHamoqJk2apNUgCSGENE+sRpdZW1vjxx9/lD0yGzJkCBwdHXHjxg107dpV5dbJhBBCCKskU8ve3l72dx8fH/j4+AAATp48ieDg4IaNjBBCSLNXb5LJyMjAgQMHAEjvXmpHmNXKzMxEXFwczp49S5MxCSGEKFGbZNLS0hAREQGRSAQA2L59O7Zv3w4fHx9UV1cjKSkJ27Ztg0gkQkhIiM4CJoQQ0nyo7fjfuHEjnJ2dkZqaij/++AO+vr5ISEhAYWEhxowZg82bN6N169b45ptvsG7dOl3GTAghpJlQm2T+/PNPTJ06Fe3bt0erVq0wf/583Lx5E3PmzMHff/+NOXPm4ODBg+jVq5cu4yWEENKMqH1cJhQK0bZtW9nr9u3bo6amBvfv38ePP/6o1D9DCCGEPEvtnYxYLIaBgTwHcblcAMD8+fMpwRBCCGGF1WTMujp27KiNOAghhLRAGicZDoejjTgIIYS0QPXOk/nxxx/xxx9/AJDuiMnhcJCSkoJWrVoplONwOIiOjtZelIQQQpolDsMwjKo3NOl34XA4TX4yZkGBEBKJykt9pbRqZY4nT0obO4wmgdpCjtpCjtpCSk+PA1tbs5c+j9o7mT///POlT04IIeTVpnGfDCGEEMIWJRlCCCFaQ0mGEEKI1ug8yUgkEqxbtw5BQUHw8vLC5MmTkZmZyeqzhw4dgru7O+vyhBBCGpfOk8yGDRuQkpKCuLg47NmzB/r6+pgyZQqqqqrq/dyjR4+wfPlyHUVJCCGkIWicZHJycnDjxg2Ul5ejsrJSo8+KRCIkJycjMjISffr0gYeHBxISEpCfn4+jR4+q/ZxEIsGCBQvQuXNnTcMlhBDSiFgnmTNnzmDQoEHo168fxo0bh/v37+ODDz5ATEwMJBIJq3Okp6ejvLwc/v7+smNmZmbw9PTElStX1H5u06ZNqK6uxvTp09mGSwghpAlglWR+++03zJo1C87OzoiJiUHt/E0/Pz/s27cPW7duZVVZXl4eAMDBwUHhuL29PXJyclR+5tatW0hOTsbq1auhr6/Pqh5CCCFNQ73LytRat24dBgwYgISEBIjFYlnfyKRJk/D06VP89NNPiIiIeO55KioqAMhXdK7F5XJlO3DWVV5ejvnz52P+/Plwc3OTJakX0RAzV1uKVq3MGzuEJoPaQo7aQo7aouGwSjIZGRmIiopS+Z6/vz+2b9/OqjIejwdA2jdTN9GIRCKYmJgolY+Li4ObmxvGjBnD6vz1oWVlpGjJDDlqCzlqCzlqCymtLytTl4WFBR4/fqzyvYcPH8LcnF3Wd3JyAgAIBAKYmcmDFwgEKrcQ2LdvH7hcLt544w0A0j1uAGDYsGEYOnQoPvnkE1b1EkIIaRyskkxwcDDWr18PPp8v+4HP4XDw6NEjbNmyBf369WNVmYeHB8zMzHDp0iW0b98egHQHzrt372LcuHFK5Y8dO6bw+ubNm1iwYAE2btwIPp/Pqk5CCCGNh1WSmTdvHm7duoUJEybA2toaAPDBBx8gNzcXbdq0wYcffsiqMi6Xi/DwcCQkJMDOzg4uLi6Ij4+Hg4MDQkJCIBaLUVhYCHNzc/B4PLi6uip8Pjc3FwDg7OwMW1tbTa6TEEJII2D9uGzPnj04cOAA0tLSUFRUBHNzc7z//vsYPnw4jI2NWVcYHR0NsViMmJgYVFRUwNvbG1u3bgWXy8XDhw8RHByMFStWYPjw4S98UYQQQpoGtfvJ1HXhwgUEBAToIh6toY5/KerUlKO2kKO2kKO2kGqojn9W82QmTZqEN998E2vXrsU///zz0pUSQgh5NbBKMjt27EDv3r3xww8/YMiQIRgxYgR27NiBwsJCbcdHCCGkGWP1uKxWTU0Nfv/9dxw+fBinT59GdXU1AgMDERYWhgEDBmgzzpdGj8uk6FGAHLWFHLWFHLWFVEM9LtMoydQlFAqRmJiIlJQUSCQSpKenv3Qw2kRJRor+A8lRW8hRW8hRW0jpdDJmXdeuXcORI0fwyy+/oKCgAN26dUNYWNhLB0IIIaTlYZVk/vzzTxw5cgRHjhxBTk4OWrdujdGjRyM0NBRt27bVdoyEEEKaKVZJJjQ0FGZmZhgwYABCQ0Ph6+ur7bgIIYS0AKySTHx8PN566y0YGRlpOx5CCCEtiNokk52dDQcHB3C5XHTt2hUCgaDeE7Vp06bBgyOEENK8qU0yISEh2LVrF7p3747+/fuDw+HUe6KmPrqMEEKI7qlNMp9//jnc3Nxkf39ekiGEEEKepTbJ1B2W7O/vj1atWsHQ0FCpXEVFBe7evaud6AghhDRrrJaVCQ4Oxu3bt1W+d/36dUyZMqVBgyKEENIyqL2TmT9/PnJycgAADMMgNjZWYTfLWpmZmbCystJehIQQQpottXcyb7/9NvT09KCnpwcOhyP7e90vQ0NDdO/eHWvXrtVlzIQQQpoJtXcy/fr1k22r3K9fP8TFxaFz5846C4wQQkjzx2oy5qlTp7QdByGEkBZIbZIZP348YmNj8dprr2H8+PH1noTD4WDnzp0NHhwhhJDmTW2S0dPTU/l3QgghhK0X3k+muaH9ZKRorww5ags5ags5aguphtpPRqNblPLyctnfjx07hm3btiErK+ulgyCEENIysUoyWVlZGDhwIDZv3gwASEpKQnR0NFatWoVhw4bhxo0bWg2SEEJI88QqyaxZswbV1dXo06cPxGIxdu7ciQEDBuDChQvw8fFBYmKituMkhBDSDLFKMhcvXsSHH36I7t2748aNG3j69CnGjRsHa2trjBs3Dv/73/+0HSchhJBmiFWSqaqqgo2NDQDg7NmzMDY2hre3t/QE/60IQAghhDyLVZJp37490tLSUF1djaNHjyIgIAAGBtLRzwcOHEC7du20GiQhhJDmiVWSmTZtGr7++mv4+/sjOzsbkyZNAgCMHDkSv/zyC6ZOnarVIAkhhDRPrJaVGTRoEFq1aoXr16/Dz88PXbt2BQD4+vpizpw5CAoK0mqQhBBCmieNJ2MKhUIIhUJYWVmBx+NpK64GR5MxpWiimRy1hRy1hRy1hVRDTcZkdScDSEeYrVq1Cunp6bJjnp6emDdvHnr27PnSgRBCCGl5WCWZK1euYMqUKWjdujVmz54NOzs75OXlITU1FREREfj2229lo80IIYSQWqwel02YMAEAsG3bNtmoMgAQi8WYNGkS9PX1sW3bNu1F2QDocZkUPQqQo7aQo7aQo7aQ0unaZf/73//w3nvvKSQYANDX18eECRNw69Yt1hVKJBKsW7cOQUFB8PLywuTJk5GZmam2fFZWFqKiohAQEIAePXpg6tSpyMjIYF0fIYSQxsMqyZiZmaG6ulrleyKRSKMKN2zYgJSUFMTFxWHPnj3Q19fHlClTUFVVpVRWKBRi4sSJqKysRHJyMnbu3AlTU1O89957KCgo0KheQgghuscqyXTv3h1btmyBUChUOC4UCrFlyxb4+PiwqkwkEiE5ORmRkZHo06cPPDw8kJCQgPz8fBw9elSp/G+//Ya8vDysXbsWnTp1Ap/Px+rVq1FRUYGTJ0+yqpMQQkjjYdXxP2/ePAwfPhzBwcHo06cP7OzskJ+fj99++w3V1dVYtWoVq8rS09NRXl4Of39/2TEzMzN4enriypUrCA0NVShfm9zMzc0VjjMMg6dPn7KqkxBCSONhlWRcXV2xZ88eJCUl4dy5cyguLoalpSUCAgIQGRmJjh07sqosLy8PAODg4KBw3N7eHjk5OUrlnZyc4OTkpHDs22+/RVVVFfr06cOqTkIIIY2H9TyZjh07vvSS/hUVFQAALpercJzL5bLq2zl69CgSExMxceJEuLu7a1R3Q4ySaClatTJ/fqFXBLWFHLWFHLVFw6k3yWRkZGDXrl14/PgxXF1dMWbMGHTo0OGFK6tdIUAkEikkGpFIBBMTk3o/+91332HFihUIDQ3FRx99pHHdNIRZioZnylFbyFFbyFFbSGl9xv/Vq1cxceJEiMViWFtb4+zZs/j++++xdu1a9O/f/4Uqq330JRAIYGYmD14gEKh95CaRSPDZZ59h586diIiIwIcffkhbCxBCSDOhdnTZV199hfbt2+P48eM4d+4czp07Bx8fH9ad/Kp4eHjAzMwMly5dkh0TCoW4e/cuevToofIzsbGx2L17N2JiYjBv3jxKMIQQ0oyoTTK3b9/GrFmz0Lp1awCAtbU1FixYgEePHkEgELxQZVwuF+Hh4UhISMCJEyfw559/Yu7cuXBwcEBISAjEYjGePHmCyspKAMCxY8ewZ88eREREICQkBE+ePJF9lZWVvVAMhBBCdEdtkhEKhbC1tVU45ubmBoZhUFRU9MIVRkdHY9SoUYiJicHYsWPBMAy2bt0KLpeLnJwcBAYGIjU1FQBw8OBBAMCmTZsQGBio8LVly5YXjoEQQohuqO2TEYvF0NNTzEFGRkYAgJqamheuUF9fH/Pnz8f8+fOV3nNxccFff/0le52UlPTC9RBCCGl8rGb8E0IIIS+i3iHMAoEA2dnZstdisRiAdFKlhYWFQtk2bdpoITxCCCHNWb1JZu7cuSqPz549W+lY3c3MCCGEEKCeJLNixQpdxkEIIaQFUptkwsLCdBkHIYSQFog6/gkhhGgNJRlCCCFaQ0mGEEKI1lCSIYQQojWUZAghhGgN603L8vLy8NVXX+HcuXMQCARISUnB4cOH0blzZwwZMkSbMRJCCGmmWN3J3L9/H8OGDcOxY8fg5eWF6upqAEBBQQEWLFiAY8eOaTVIQgghzROrO5lVq1bByckJO3bsAI/Hw5EjRwAAX3zxBSorK7F161aEhIRoNVBCCCHND6s7mYsXL2LatGkwMzNT2jRs5MiRuHfvnlaCI4QQ0ryxSjJ6enpqd6SsqKhQ2hKAEEIIAVgmGV9fX2zevBmlpaWyYxwOB2KxGLt27YKPj4/WAiSEENJ8seqTWbBgAcaMGYOQkBD06NEDHA4HX3/9Ne7du4dHjx5h9+7d2o6TEEJIM8TqTqZDhw7Yt28fevXqhatXr0JfXx9paWlo37499uzZAw8PD23HSQghpBliPU+mbdu2WLNmjTZjIYQQ0sKwSjKPHz9+bhlnZ+eXDoYQQkjLwirJ9OvXT+3oslq0MyYhhJBnsUoyn376qdKxsrIypKWl4datW/jss88aPDBCCCHNH4dhGOZlThATEwORSISVK1c2VExaUVAghETyUpfaIrRqZY4nT0qfX/AVQG0hR20hR20hpafHga2t2cuf52VPMHDgQJw6deqlAyGEENLyvHSSycjIgEQiaYhYCCGEtDCs+mS+/PJLpWMSiQSPHz/GL7/8ggEDBjR4YIQQQpo/Vklm48aNKo+bmZlh0KBBWLRoUYMGRQghpGVglWRu3boFLper7VgIIYS0MKz6ZAYPHoyjR49qOxZCCCEtDKskU1RUBAsLC23HQgghpIVhlWTCwsKwceNG3L9/X9vxEEIIaUFY9clkZGTgxo0bePvtt2FoaAgbGxuF9zkcDk6fPs2qQolEgqSkJPz4448oKSmBt7c3li1bBldXV5Xli4qKEBcXhz/++AMMw2DgwIFYtGgRTE1NWdVHCCGk8bBKMk5OTnjnnXcapMINGzYgJSUFK1euhIODA+Lj4zFlyhQcOXIERkZGSuWjo6NRWVmJbdu2QSgUYsmSJYiJiUF8fHyDxEMIIUR7XnpZGU2IRCL4+flh/vz5GD9+PABAKBQiMDAQsbGxCA0NVSh/7do1jB07FkeOHEHHjh0BABcuXMCkSZNw6tQpjVZ+pmVlpGjJDDlqCzlqCzlqCymtLysTHByMO3fuvHQFdaWnp6O8vBz+/v6yY2ZmZvD09MSVK1eUyl+5cgW2trayBAMA3t7e4HA4KssTQghpWtQ+Lnv06BGqqqoatLK8vDwAgIODg8Jxe3t75OTkKJUXCARwdHRUOMblcmFtbY3c3FyN6tbTq3+rglcJtYUctYUctYUctUXDtQHrnTEbQkVFBQAoTezkcrkQiUQqy6uaBMrlcjVOgNbWNFCgVkPcArcU1BZy1BZy1BYNp94hzM/bqExTPB4PAJQSikgkgomJicryqpKPuvKEEEKalnrvZCIjI2FoaPjck7Adwuzk5ARA+hjMzEz+m4JAIFDod6nl6OgIgUCgcEwkEqGoqEjpMRohhJCmp94k07lzZ9ja2jZYZR4eHjAzM8OlS5fQvn17ANLRZXfv3sW4ceOUyvv6+mLNmjX4999/ZeVrO/x9fHwaLC5CCCHaUW+SmTFjBrp3795glXG5XISHhyMhIQF2dnZwcXFBfHw8HBwcEBISArFYjMLCQpibm4PH48HLywvdu3fHvHnzsHz5clRWViImJgbDhg1TGjxACCGk6XnpTcs0FR0djVGjRiEmJgZjx44FwzDYunUruFwucnJyEBgYiNTUVADSx3BJSUlo06YN3n//fURFRaFnz56IjY3VddiEEEJegNrJmB4eHti9e3eD3skQQgh5tai9kwkLC4OdnZ0uYyGEENLC6HRZGUIIIa8WnffJEEIIeXU0+yQjkUiwbt06BAUFwcvLC5MnT0ZmZqba8kVFRZg3bx569OgBX19ffPzxxygrK9NhxNqjaVtkZWUhKioKAQEB6NGjB6ZOnYqMjAwdRqw9mrZFXYcOHYK7uzvr8k2dpm1RXV2N+Ph4BAUFoVu3bggPD0d6eroOI9YeTdtCIBBg7ty58PPzg5+fH+bMmaPxklbNwebNmzF27Nh6y1RVVWH58uUICAjAG2+8gejoaOTn5z//5Ewzt27dOsbf3585c+YMk56ezkydOpUJDg5mKisrVZYPDw9nRo4cydy+fZtJS0tj+vXrx3z44Yc6jlo7NGmL0tJSpm/fvszUqVOZu3fvMn/99RcTHR3N+Pv7M/n5+Y0QfcPS9Pui1sOHDxlvb2+Gz+czDx480FG02qVpWyxZsoTx8/NjTp8+zdy7d4+JiopievbsyRQXF+s48oanaVuMHj2aGT16NHP79m3mzp07zLvvvsuEhobqOGrt2rlzJ+Pu7s6MGTOm3nILFy5k+vfvz1y+fJm5efMmExYW9tzPMAzDNOskU1VVxXTr1o3ZuXOn7FhpaSnj5eXF/Pzzz0rlr169yvD5fCYjI0N27Pz584y7uzvz6NEjncSsLZq2xeHDhxlPT0+mpKRE4RxeXl7Mnj17dBKztmjaFrXEYjEzduxY5r333msxSUbTtsjKymL4fD5z/Phx2bGSkhKmb9++zB9//KGTmLVF07YoKChg+Hw+c/LkSdmxEydOMHw+v0X8Ipabm8tMnz6d6datGzNw4MB6E0ZOTg7j4eHBnDlzRnbswYMHDJ/PZy5fvlxvPc36cRltHSCnaVt0794dW7Zsgbm5ucJxhmHw9OlTrcerTZq2Ra1Nmzahuroa06dP10WYOqFpW5w9exampqbo27ev7Ji5uTlOnTqFwMBAncSsLZq2hYmJCUxMTLB//34IhUKUlZXh8OHDcHNzg5WVlS5D14o7d+7A1NQUBw8ehJeXV71lr127BolEgh49esiOubq6wtHREZcvX673szpdhbmhNebWAU2Npm3h5OQkW0uu1rfffouqqir06dNHe4HqgKZtAQC3bt1CcnIy9u7dK/t8S6BpWzx48AAuLi44c+YMNm7ciJycHHh6emLRokXo0KGDTmLWFk3bgsfjYcWKFYiNjYWPjw84HA7s7Oywc+dO6Ovr6yRmberXrx/69evHA+zpQgAAF6lJREFUqmxeXh6srKxgbGyscLy+/1O1mvWdTGNuHdDUaNoWzzp69CgSExMxceJEuLu7ayVGXdG0LcrLyzF//nzMnz8fbm5uughRZzRtC6FQiEePHiExMRHR0dHYuHEjDA0NMW7cOHadvE2Ypm3BMAzu3r0LLy8v7Nq1C99++y3atGmDWbNmobT01do5s6KiQuViyWx+vjTrJENbB8hp2hZ1fffdd/jwww8xdOhQfPTRR1qLUVc0bYu4uDi4ublhzJgxOolPlzRtC0NDQwiFQqxZswa9e/dG165dsXbtWgDAvn37tB+wFmnaFqmpqdi1axfWrFkDb29v9OjRQ3Z398MPP+gk5qaCx+Ohurpa6Tibny/N+nEZbR0gp2lbANLhnJ999hl27tyJiIgIfPjhhw2+h1Bj0LQt9u3bBy6XizfeeAMAIBaLAQDDhg3D0KFD8cknn+ggau14kf8jHA4Hr732muwYj8dDmzZt8PDhQ+0HrEWatsXVq1fh6uqq0G9paWmJdu3atZjh7Ww5OjqiuLgYVVVVMDIykh1X1QXxrGZ9J1N364BatVsH1O2gquXr64snT57g33//lR1rKVsHaNoWABAbG4vdu3cjJiYG8+bNaxEJBtC8LY4dO4bDhw9j//792L9/P+Li4gAAGzduxJw5c3QWtzZo2hY+Pj5gGAa3b9+WHausrER2djbatm2rk5i1RdO2cHR0RFZWluwxGyB9tPrw4cMW91j1eby9vQFAoe0yMzORm5sLX1/fej+rH9uMlzTW19dHeXk5tm7dinbt2kEkEmHZsmUQi8X4+OOPAQAFBQXQ19eHgYEBHBwccP78eaSmpsLT0xOZmZlYunQp+vXrh9DQ0Ea+mpejaVscO3YMq1evxvTp0xEWFoby8nLZF6D83Lo50bQtrKysFL6ePn2Kn3/+GbNmzVIaHNHcaNoWzs7OuHbtGvbv3w93d3dUVFQgLi4Ojx8/RlxcXLN+rKxpW7Rp0wbff/89bt68iY4dOyI/Px/Lly9HQUEB4uLiZI/fWoITJ06guLgYI0eOlB178uQJAOnPAjMzM9y/fx8pKSlwd3dHUVERFi9eDDc3N8yaNav+kzfMiOvGU1NTw6xevZoJCAhgunXrxkyZMoXJyspiGIZhsrOzGT6fz+zbt09WPj8/n4mKimK6devG9OjRg/n444+ZioqKxgq/QWnSFrNnz2b4fL7Kr7Vr1zbmZTQITb8v6kpLS2sx82QYRvO2EAqFTGxsLOPn58d07dqVef/995m//vqrscJvUJq2xb1795jp06czfn5+jJ+fHzNr1ixZ+ZZk4cKFSvNk+Hw+s27dOtnrsrIy5v/+7/8YHx8fxtvbm/nggw+YgoKC556bFsgkhBCiNc26T4YQQkjTRkmGEEKI1lCSIYQQojWUZAghhGgNJRlCCCFaQ0mGNFstbWBkS7ueVwn926lHSaYRLVq0CO7u7mq/UlJSWJ/rp59+0tlujqpi9fLywjvvvIMtW7ZAIpE0aH3PXltubi5mzJiB7OxshZgSEhIatF5V1P2bvfHGGxg8eDCSkpJky9JoYuPGjdiyZUuDxXn79m289dZbCrPVa6Wnp+P1119v8O+Ve/fuYd68eQgMDMTrr7+OXr16ISoqCtevX2/QejSxfv16uLu7o6amBoB0hn9UVBS6deuG7t2748KFCxp/7/Tr1w/z58+Xvf7xxx/x+eefs/58ZWUlQkJCcPPmTfYX0ow167XLWgIbGxusX79e5Xuurq46joa90NBQjBo1Sva6oqICx48fR3x8PEpLSzFv3rwGq6tPnz7YtWuXbI2k8+fP4/Tp01i8eLGszK5du+Ds7NxgddZH1b/Z06dPkZqaivXr16Oqqkrj609MTMSMGTMaJL6qqiosXLgQc+fOVVqa/e+//8a0adNULnb4MjIyMjB69Gh4enrio48+QqtWrfDkyRPs2bMH48ePx4YNGxT2qNGVESNGICAgAAYG0h91P//8M44dO4aFCxeiU6dO6NKli8bfO19++eX/t3fmMVFdbx//sinIohShyGKjlq0zIMsoDKtQNhGEGUwABVQqCAioRQslqPirCwQtIouyF3C0UUSJFmldIgoIlhaXKBoVRaWCiggOyuac9w/CfZnOAGK1WnM/CQlzlnvPds9zz/Ocex6hs8/27NkDU1PTN84vKyuL6OhofPfddygrK/ukTg4QBy1kPjAyMjL/yXPT1NXVRcptY2OD5uZm8Hg8REVFiT0a/G1QUVGBiorKqGn+zTYcqc8cHR3R0tKCkpKSdypkx8uBAwcwMDAANzc3Kqyvrw/79+/Hrl27hA44fFcUFBRAQUEB+fn5QkcSubq6gsvl4scff/wgQkZDQ0NIgHR2dgIAAgICqPE53rFjaGj4j8vl4uKCtLQ0FBcXIzg4+B9f72OGVpf9B3j9+jWys7Ph7u4OIyMjGBsbw9fXFxcuXBgxT29vL7Zs2YJ58+aByWTCyckJu3fvptQGwODEs2PHDirNggULcOTIkX9UViaTie7ubuph7u3tRWZmJlxdXWFoaAgnJydkZWUJqZQePHiAiIgIWFhYwMjICBwOB8ePH6fih6vL0tLSqBWMs7MztaIYUnn09vaCxWJh69atImVzcnISUnMcPnwYHh4eYDKZsLW1xc6dO9/I985oDH/DHeLQoUPgcrkwNjaGkZERPD09UV5eDgB4+PAh5b9n7969Qk6k/vzzTwQEBMDY2Bhz5sxBdHT0mA7V+vr6kJeXBw8PD6EDT8+dO4fdu3cjNDRUqA3eFe3t7WIPWJ0wYQLWr18vtOqNjY2Fn58fSktLYW9vD2NjYwQGBuL69etCeTs7O7Fp0yZYWVnB0NAQXC4XlZWVQmkIISguLsaCBQtgZGSEr7/+GhkZGdT4Gq4uCwgIoMYLk8lEQEAAAFFV69OnT/H999/D0tISJiYm8PX1RW1tLRU/XF2mp6eHlpYWHDt2DHp6erh16xb09PTA4/GEytnV1QUjIyMUFRVRYR4eHpSjwE8ZWsh8BAwMDIj8Dbdr7Ny5E+np6fD29kZWVhYSEhLQ0dGBqKgodHd3i73mli1b8Ntvv2H16tXIycnBwoULkZmZiZycHCpNZGQk9u3bBz8/P2RkZIDFYiE2NlbkARkPd+/ehby8PFRUVEAIQWhoKLKzs+Hl5YX09HQ4OzsjNTUV8fHxAAbdDYSEhFCHDmZkZGD69OmIjo4W6xLX29ubUiulpKTA29tbKH7ixIlwdXXFiRMnhNrw0qVLuH//Pjw9PQEAubm5iIuLg4mJCTIyMhAQEICioiKsX7/+jeo5vK/6+vrQ2tqK7OxsVFdXCx22yuPxsGHDBtjZ2SEzMxOJiYmQlpbGunXr0NLSAjU1Naq9vby8kJqaCmDwmPnAwEAAQHJyMuLi4tDQ0AB/f3/w+fwRy1VbW4vHjx9j/vz5QuGGhoY4c+YMQkND34tXRwcHB7S2tsLHxwc8Hg937tyh4uzs7Ki6DHHr1i0kJycjLCwMiYmJ6OjoQEBAAOWhtq+vD8uWLUNFRQXCwsKQmpoKbW1thIaG4syZM9R1UlJSsHXrVrDZbKSlpcHHxwd79uwRa2OJj48Hl8sFABQXF1NjcDivXr3C4sWLcf78eURGRiI1NRVTpkxBcHAwGhsbRdLzeDyoqqrC2toaPB4POjo6MDY2xtGjR4XSHT9+HAKBAB4eHlSYq6srnjx5MurL4qcArS77wLS1tYHBYIiEBwcHU29Ljx49QlRUFJYvX07Fy8nJISoqCo2NjWKX+/X19bCzswOHwwEAsNlsKCgoQFlZGcCgXePs2bNISkqiJkU7OzsIBALs2rUL3t7eY+qKh1ZFhBA8ffoUx44dw5kzZxASEgIJCQlUVlaipqZG5B5ycnJIS0vD0qVLMXXqVDQ1NWHHjh1wdHQEAFhYWODzzz8X+2asoaFB2aoYDIZYXbqXlxcOHTqEuro6sNlsAIMPuaqqKiwtLcHn85Geng4ul0v5irGzs4O6ujrWrVuHhoYGyreMOEbqM01NTaxevRorVqygwpqbmxEYGCjkMmD69Onw9vZGfX09PD09qf5TV1enVDE7duyApqYm8vLyKPUTi8XC/PnzwePxsHLlSrFlq62thby8PGbOnCkU/neXw+8aHx8fPHnyBLm5uVSbKisrg81mw8fHBxYWFkLpX7x4gaKiIpibmwMATExM4OTkhJ9++gmxsbEoKyvD9evXUVxcTB3D7+DggG+++QZJSUlwcHDAixcvkJ+fD19fX0pg2NnZobu7G7W1tSIbUPT09KjxYmpqStlphnPkyBE0Nzfj4MGDlN97NpsNLpeL6upqGBgYCKVnsViUC/ehfly0aBHi4+PR1NRE9UNpaSkcHByo5w8YtLlOnjwZtbW1mDdv3vgb/T8CLWQ+MCoqKsjKyhIJV1NTo/4feit7/vw57t27h3v37uH06dMAMKIB18rKCsXFxXj8+DHs7OxgY2MjJKSG3p4cHByEVGiOjo44ePAgrly5MqIfGmBQtbN3716hMFlZWfj5+SEiIgLAoO8JSUlJIdsAMCgE0tLScPHiRQQEBEBPTw8bNmxATU0NbGxswGazERcXN+K9x8LMzAza2to4fvw42Gw2Xr9+jfLycnh6ekJKSgoNDQ149eoVHB0dhepub28PSUlJVFdXjypkhvcZn89Hbm4url69io0bN4pMFkP14PP5uHv3Lpqbm6m2H0k119PTg0uXLmHp0qWQlJSkyjht2jQwGAxUVVWNKGQePnwITU3Nd+IbqL+/X2iilpCQGNUFREREBJYtW4bq6mrU1tbi4sWLKC8vR3l5OYKCghATE0OlnTZtGiVggEEhaGJiQvkruXDhApSVlWFqaioyPhMSEtDS0oKmpib09/fDxcVFqBxr16596zrX19dj2rRplIABBm1wx44de+NruLm5Ydu2bSgrK8PatWtx69YtXL16FZGRkSJpNTQ0/vPO4MaCFjIfGGlp6TENideuXcMPP/yAhoYGyMrKQldXl/JzMtL+/JiYGGhoaKCsrAz/+9//QAiBgYEB4uPjwWKx0NHRAQAjOhwaS/fv7e0NPz8/AIOTj7y8PLS0tISM/Z2dnVBSUhKZmFRVVQEM6qklJCRQUFCArKwsnDx5EqWlpZCSkoKNjQ02b978Vh5LJSQk4OnpiaKiImzatAl1dXVob2+nVlNDdR/JD8ZYdf97n7FYLAQGBiIiIgKFhYWUgydg0N6UkJCA6upqSEtLY9asWZQNZiQ6OzshEAhQUFCAgoICkfjRHGbx+XyRHWVvy4YNG4RsdJqamkKqKnEoKCjAxcWFmvibmpoQHx+P/Px8cDgc6OrqAhC/slJRUUFLSwuAwT7q6OgQu2IEBvtoqB+nTp06/sqNQEdHx5ibTMZCXl4ebm5uKCsrw5o1a1BaWgo1NTVYW1uLpJWTk8OLFy/+0f0+dmgh85HD5/MRFBQEPT09lJeXY8aMGZCUlERlZSV+/fXXEfPJyMggKCgIQUFBaG9vR2VlJTIzMxEeHo6qqiooKipCVlYW+/btE5tfS0tr1HKpqqqOKRwnT56Mrq4u9PX1CQmaIRfYQ6oDFRUVxMXFIS4uDk1NTTh16hQyMzOxadMmsau8N2HIBlRdXY2Kigro6+tTk7uSkhIAICkpCbNmzRLJO1yl8SbIyMggMTERHh4eiImJwS+//IKJEydCIBAgODgYMjIyKCkpgb6+PqSlpXH79m2UlZWNeD0FBQVISEggICAACxcuFIkfbTWhrKyMv/76a1zlH4mIiAgsWbJkzPu2traCw+GIpAeAmTNnIi4uDt7e3rh9+zYlZIYExHCePHlCTfCKiorQ1tYe8fuVGTNmoKurCwDw7NkzobjHjx/jzp07o65GR0JRUVHs90NXrlzBhAkToK+v/0bXWbRoEUpKSvDHH3/gxIkT4HA4Ym1hnZ2dVJt8qtCG/4+cpqYmPH/+HEuWLMGsWbMgKTnYZUO7bMR9+NjT0wMXFxfk5uYCGJzEuVwu/Pz80NnZCT6fD3Nzc/T09KC/vx+GhobUX3NzM3bt2iX2I77xMnfuXAgEAmon1RBDE6yZmRkaGhpgaWmJK1euABiclEJCQmBubk691f6doTYYDW1tbZiamqKiogKnT58WMsbPnj0bEyZMQGtrq1DdFRQUkJSUJGS0flO++OILhISE4MGDB9RHlR0dHbh79y44HA6YTCZlAxDXd8PrJC8vDwaDgTt37giVT09PDxkZGSI7rIajqamJtra2d/JBrJaWlsj9xaGqqgpZWVns379f7EaU27dvA4DQZHr//n3cuHGD+t3W1oZLly5Rthtzc3O0trZiypQpQmWor69HRkYGJCUlYWRkBBkZGZw8eVLofjweD2FhYW/1FT6LxUJLSwuuXbtGhfX392Pt2rUoLCwUm0fceDQxMYGOjg5SU1Px6NEjyjY6HEII2tra/rXvuz4U9ErmI2fmzJlQVFREVlYWpKSkICMjg4qKCmr3ijhhICsrCwaDQT2MBgYGePjwIQoKCmBhYYHPPvsMtra2mDt3LiIiIrBy5Uro6Ojg+vXrSE9Ph4mJyTsZ+La2tjA3N0dCQgLa2tpgYGCA33//HXl5eXB3d4e+vj56e3shJyeHdevWITw8HGpqarh8+TKqqqpGVGcNrUROnjwJZ2fnEX3Pe3l5YfPmzQAAd3d3KlxZWRnBwcFIT09HV1cX2Gw22tvbkZ6ejp6eHjCZzLeqb3BwMI4ePYqcnBx4eXlBW1sbmpqa2L9/P9TV1aGkpISqqipq9Ti875SUlHD58mXU19eDxWIhOjoaK1asQFRUFLWaKS4uRn19PZYtWzZiGaytrZGVlYUbN27gq6++eqt6jBcpKSkkJCRg1apV4HK5WLx4MXR0dNDf34+6ujrweDz4+fnhyy+/pPJISEggPDwca9asgbS0NDIyMqCkpISlS5cCADgcDng8HpYvX46QkBBoaWmhrq4OOTk54HA4mDRpEiZNmoTAwEAUFBRARkYGlpaWaGxsRF5eHlauXPlWakMul4vi4mKEh4cjMjISqqqq+Pnnn/Hs2TMEBQWJzaOkpISbN2/iwoULMDc3p4TOokWLsH37dpiZmWHGjBki+W7evAk+nw8bG5txl/M/xTvx3UnzVsTExBAbG5sx09XW1hIul0uMjIwIm80mQUFBpL6+npiampJt27YRQgg5fPiwkMvg7u5usn37dmJvb08YDAaxsrIiGzduJM+fP6eu+/LlS5KYmEjs7OwIg8Eg9vb2JDExkfD5/FHLMx4XzUP3sLW1JQwGgzg7O5OsrCwyMDBApWlubiZRUVHE0tKSSpOdnU0EAoHYur18+ZIEBQURBoNBNm7cOGKZurq6iKGhIVmxYoXYsh04cIC4u7sTBoNB2Gw2WbNmDWlubh61PmP12enTp4muri4JCwsjhBDS2NhI/P39KXffixcvJmfPniVubm5k1apVVL6ioiJiampK5syZQ3p7ewkhg/3u7+9PZs+eTczMzIi/vz+pqakZtXwDAwPEysqKZGRkjJjm7+35rmhsbCTffvstmTdvHmEymcTY2Jj4+PiQkpISqi8J+f82LCkpIdbW1sTExESsW+P29nYSHx9PLC0tCZPJJM7OziQzM5P09/dTaQQCAcnPzydOTk7U2CkoKKDut3v3bqKrq0vl+ftvQkTHTmtrK4mOjiZz584lxsbGxN/fn1y+fJmKt7e3J9HR0dTviooKYm5uToyNjcmDBw+o8Hv37hFdXV1SUlIitr2ysrIIm80WKsunCO1+mYbmE6OwsBCFhYU4derUG6kW/21iY2NRU1ODc+fOfeiivFeKioqQmpqK8+fPY9KkSUJxAoEATk5O8Pf3F9r1+Sny8Y1AGhqaf4Svry+kpaXHte2W5t1x9OhRJCcnIyUlBf7+/iICBgBlpxzaofkpQwsZGppPjIkTJyI5ORmpqanvZAMHzfi4efMm9u3bB1tbW7F2xZ6eHqSkpCA5OfmTPxwTAGh1GQ0NDQ3Ne4NeydDQ0NDQvDdoIUNDQ0ND896ghQwNDQ0NzXuDFjI0NDQ0NO8NWsjQ0NDQ0Lw3aCFDQ0NDQ/Pe+D/pD5IlRkMVBwAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -6763,86 +6916,58 @@
     }
    ],
    "source": [
-    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'XGBoost', 'XGBoost', 5)"
+    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
+    "results = modelpipeline.run_model(df, varlist2, 'Class', True, 'naive', 'SVM_Linear0.5', 'Linear SVM with C=0.5, naive sampling and remove V24', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 55,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': [0.9992977651375503,\n",
-       "  0.9994382121100402,\n",
-       "  0.9993328768806727,\n",
-       "  0.9993855444953564,\n",
-       "  0.9992451240278778],\n",
-       " 'actual_accuracy': [0.8089430894308943,\n",
-       "  0.7987804878048781,\n",
-       "  0.7845528455284553,\n",
-       "  0.7967479674796748,\n",
-       "  0.7926829268292683],\n",
-       " 'sensitivity': [0.8367346938775511,\n",
-       "  0.8673469387755102,\n",
-       "  0.8061224489795918,\n",
-       "  0.8163265306122449,\n",
-       "  0.82],\n",
-       " 'specificity': [0.9995779329265075,\n",
-       "  0.9996658635668185,\n",
-       "  0.9996658635668185,\n",
-       "  0.9997010358229429,\n",
-       "  0.9995603467984454],\n",
-       " 'precision': [0.7735849056603774,\n",
-       "  0.8173076923076923,\n",
-       "  0.8061224489795918,\n",
-       "  0.8247422680412371,\n",
-       "  0.7663551401869159],\n",
-       " 'f1': [0.803921568627451,\n",
-       "  0.8415841584158416,\n",
-       "  0.806122448979592,\n",
-       "  0.8205128205128205,\n",
-       "  0.7922705314009661],\n",
-       " 'auc': [0.9181563134020293,\n",
-       "  0.9335064011711643,\n",
-       "  0.9028941562732052,\n",
-       "  0.908013783217594,\n",
-       "  0.9097801733992227],\n",
-       " 'final': {'accuracy': 0.9993399045302995,\n",
-       "  'sensitivity': 0.8293061224489795,\n",
-       "  'specificity': 0.9996342085363066,\n",
-       "  'precision': 0.7976224910351628,\n",
-       "  'f1': 0.8128823055873342,\n",
-       "  'auc': 0.914470165492643,\n",
-       "  'actual_accuracy': 0.7963414634146343},\n",
-       " 'model': XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
-       "               colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
-       "               learning_rate=0.1, max_delta_step=0, max_depth=6,\n",
-       "               min_child_weight=1, missing=None, n_estimators=100, n_jobs=1,\n",
-       "               nthread=1, objective='binary:logistic', random_state=42,\n",
-       "               reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=42,\n",
-       "               silent=None, subsample=1, verbosity=1)}"
+       "{'accuracy': 0.9816331769855424,\n",
+       " 'sensitivity': 0.9005306122448979,\n",
+       " 'specificity': 0.981773736876352,\n",
+       " 'precision': 0.07902751867029113,\n",
+       " 'f1': 0.14526629817994746,\n",
+       " 'auc': 0.9811655647820917,\n",
+       " 'pr_auc': 0.7209496546686622,\n",
+       " 'actual_accuracy': 0.9101626016260163}"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "results"
+    "results['final']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(varlist2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -6852,35 +6977,16 @@
       "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.035537\tvalidation_1-error:0.019434\n",
-      "[5]\tvalidation_0-error:0.026441\tvalidation_1-error:0.010516\n",
-      "[10]\tvalidation_0-error:0.019485\tvalidation_1-error:0.009498\n",
-      "[15]\tvalidation_0-error:0.016061\tvalidation_1-error:0.007057\n",
-      "[20]\tvalidation_0-error:0.010514\tvalidation_1-error:0.006145\n",
-      "[25]\tvalidation_0-error:0.007461\tvalidation_1-error:0.005425\n",
-      "[30]\tvalidation_0-error:0.004528\tvalidation_1-error:0.004723\n",
-      "[35]\tvalidation_0-error:0.004095\tvalidation_1-error:0.004143\n",
-      "[40]\tvalidation_0-error:0.003915\tvalidation_1-error:0.003494\n",
-      "[45]\tvalidation_0-error:0.002425\tvalidation_1-error:0.002862\n",
-      "[50]\tvalidation_0-error:0.001084\tvalidation_1-error:0.002897\n",
-      "[55]\tvalidation_0-error:0.000963\tvalidation_1-error:0.002563\n",
-      "[60]\tvalidation_0-error:0.000871\tvalidation_1-error:0.002405\n",
-      "[65]\tvalidation_0-error:0.000783\tvalidation_1-error:0.002194\n",
-      "[70]\tvalidation_0-error:0.000635\tvalidation_1-error:0.001826\n",
-      "[75]\tvalidation_0-error:0.000561\tvalidation_1-error:0.00165\n",
-      "[80]\tvalidation_0-error:0.000532\tvalidation_1-error:0.001457\n",
-      "[85]\tvalidation_0-error:0.000466\tvalidation_1-error:0.001282\n",
-      "[90]\tvalidation_0-error:0.000422\tvalidation_1-error:0.001264\n",
-      "[95]\tvalidation_0-error:0.000382\tvalidation_1-error:0.001159\n",
-      "[99]\tvalidation_0-error:0.000352\tvalidation_1-error:0.001124\n",
-      "[[56814    49]\n",
-      " [   15    83]]\n"
+      "[[55802  1061]\n",
+      " [    7    91]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ0AAAERCAYAAACgrXoBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdeVxN+f8H8Ndt0yaJFtuXBjctJJWyxWQnQwzG2AsZFZoxJopIlhlLI7KEEGVrYjS2YQZja7VOImtESpaKltvy+f3h15lu91Y37u3e9H563MfD/ZxPn/M+95573/fzOZ9zDo8xxkAIIYTUAiV5B0AIIaT+oKRDCCGk1lDSIYQQUmso6RBCCKk1lHQIIYTUGko6nwGagPh5qI33kfaVz0Ndfh8lTjpJSUnw9vaGo6MjOnXqBEdHR3h7e+Phw4cyCy4uLg5Dhw6FhYUFhgwZIrV2N2zYABMTExQXF0utzcpERUXBxMQEJiYmuHPnjtg6KSkpXJ20tLQatX/o0CGsWLGi2nqOjo6YN29ejdquSFbvBwBkZmbC3t4eQ4cORUFBgcjyEydOwMTEBIcOHRIqz83NRUhICEaNGgU7Ozt06tQJAwcOxPLly5GRkSFUt+x9L/+wtLTE0KFDsX37dpSWlkp1mySVk5MDb29vxMTESK3NtLQ0oddLIBBg1apVOHLkCFdn4sSJGDdunNTWWVsqbpsiksbnrTKbN29GSEgI99zb2xsODg4yWZcsqEhSaf/+/Vi2bBm6dOkCT09PGBoa4unTp9i9ezdGjRqF7du3w9raWurBrVq1Cvn5+QgODoaurq7U2h01ahS6desGFRWJNl8qlJSUcOLECXTo0EFk2R9//PHR7W7evBldunSptt769euhra390esBZPd+AICBgQECAgLg7u6OX375BYsXL+aWPX78GD4+PnBycsLo0aO58vv378PNzQ3v37/Ht99+C0tLS6iqquL27dsICwvDsWPHEBERgTZt2gita8+ePVBS+vB76/3797h69SrWrl2L/Px8eHp6SnW7JJGcnIzDhw/jq6++klqbBgYGCA8P57Y9MzMTO3fuREBAgNTWQeTj119/xcyZM+Udxker9lv3+vXr8Pf3xzfffCP0RQAAgwcPxtdff4358+fjzz//hLKyslSDe/v2LaysrNC7d2+pttu8eXM0b95cqm1Wx9raGidPnoSXl5fIsmPHjsHMzAy3b9+W2fo7duz4yW3I6v0o069fP4wdOxbh4eFwcHBAnz59UFBQgNmzZ0NfXx/+/v5cXYFAAC8vL5SWluLo0aMwMDDglnXv3h3Ozs5wdnZGQEAAtm/fLrSeLl26CP3g6N27N9LS0hARESGXpCMLampqsLGxkXcYhIiodnht+/btaNiwIX788UeRZTo6OvD29oaTkxNycnK48uPHj2PUqFGwsrJC9+7dsWjRIrx584ZbvmHDBvTv3x8XL16Es7MzOnbsCEdHR+zatQvAf93nZ8+e4Y8//oCJiQmioqK4oarU1FShOMaNG4eJEydyz5OTk+Hi4gJbW1t07twZ3377LS5duiS0/orDa58ac3UGDx6Mx48fiySW69ev48WLFxg0aJDI35w5cwbjx4+HlZUVLCwsMGjQIOzZs4dbXvYaRUdHw8TERCjOkJAQ2NnZoXv37njx4oVQd3/VqlUwMTERek3OnDkDExMTsdtT2fsBfOiFzJ49Gz179oSlpSUmTJiA+Ph4kb8NCwvDsGHDYGlpibCwsEpfpwULFuCLL77AwoUL8fr1a6xcuRKPHz/G+vXroaWlxdU7efIkUlJS4OPjI5RwyjRp0gSenp5o3ry5RMNm4npu1W0b8GF4b9WqVejXrx86duyIoUOH4uDBg0J1qtofo6KiMGnSJADA1KlT4e3tLRLHnTt3YGJighMnTnBlSUlJMDExwbJly7iy4uJi2NjYICQkRGgIKjY2Fn379gUA+Pr6Cn1WAGDXrl1wdHREx44d4ezsLLRfVEZanxeBQIA1a9agT58+sLCwwNChQ3H48OFq119RdnY2/Pz80KNHD3Ts2BEjR47E+fPnhepU971QWFiIgIAALpb+/fsjKCio2mH4xMREfPvtt+jcuTP69euHU6dOidQpLS3F9u3bMWDAAFhYWKBfv37YsWOH0LEZb29vjBs3DlFRUfjyyy/RuXNnTJo0ifvOKHtPAWDLli1wdHQUWkd0dDQGDx4MCwsLDB48GNHR0TV7EWsLq0JpaSnr1KkTmzNnTlXVhAQHBzM+n898fX3Z2bNnWVhYGLO1tWVOTk4sLy+PMcZYUFAQ69y5M3NwcGB79+5lFy5cYB4eHozP57OLFy+ywsJCFh8fz3r06MFcXFxYfHw8y8rKYr/99hvj8/ns8ePHQuv85ptv2IQJExhjjOXm5jI7Ozs2c+ZMdvbsWXb27Fk2adIkZm5uzp48ecKtn8/ns6KiIqnFXJmymB88eMDs7e3ZmjVrhJYvW7aMubq6soMHDzI+n8+ePn3KGGPs7NmzjM/nMz8/P3bhwgV2+vRp5uLiwvh8PouPj2eMMZHXqCxOc3NzNnjwYHbu3Dn222+/McYY+/LLL9kPP/zAGGOsoKCADR48mDk6OrK8vDyWlZXF7O3tmYuLCystLRXZhsrej3v37jErKys2bNgwdvToUXby5Ek2fvx4ZmZmxi5fvswYY+zp06eMz+czCwsLtnfvXnbixAmR96+if//9l5mbmzNnZ2fG5/NZRESESB0PDw9mY2PDvYeSKHvfCwsLWVFRESsqKmK5ubns77//ZjY2Niw4OJirK8m25efnMycnJ9a1a1cWFhbGzp07x3x8fBifz2cbNmxgjFW/P2ZlZbGwsDDG5/PZzp072aNHj8TG3rt3b+br68s9DwkJYXw+nw0dOpQri4uLY3w+n6WkpHCv+8GDB1lOTg47ceIE4/P5bPXq1ezOnTuMMcYmTJjATE1N2YgRI9jx48fZqVOn2KBBg5ilpSV79epVpa+jND8vM2bMYJaWlmzLli3s3LlzbPHixYzP57O9e/dWuv7y28bYh/1zxIgRrGvXrmzPnj3sr7/+YrNnz2YdOnRgf/31l0TvA2OM+fr6sl69erGoqCh2+fJlFhQUxExMTNimTZsqjSU5OZlZWFiw8ePHs9OnT7MDBw6w7t27MzMzM+7zxhhjS5YsYaampmz16tXs3LlzbN26daxDhw7s559/5ur89NNPzNramtnb27MDBw6wEydOMCcnJ9alSxeWnp7OfQ75fD6bP38+u3nzJvd3pqamrG/fvuzw4cPs7NmzbOzYsaxDhw4sJSWl0tjlpcqk8+rVK25HlcTbt2+ZhYUF8/b2FiqPjY1lfD6f7d69mzH234f/3LlzXJ28vDxmbm7O/P39ubLyX5SMMYmSzvXr1xmfz2eJiYlC27FixQruDSifdKQdc0XlY/bz82P9+vXjlhUXF7MePXqww4cPiySdrVu3Mi8vL6G2Xr9+zfh8vtCXY8XXSFyc4urdvHmTmZmZsTVr1jB3d3dmZ2fHMjMzK90OcW3MmTOH2drasuzsbK5MIBCwAQMGsBEjRjDG/vuCqMkPF8YYW79+PePz+dz7WtFXX33FnJ2dRcqLi4u5hFL2KEukZa+NuMfYsWNZbm5ujbYtPDyc8fl8FhsbKxSDt7c3s7CwYK9evZJof4yJiWF8Pp9dunSp0tdj8eLF7Msvv+Seu7i4sJEjRzITExMuQaxZs4Y5OjoyxkS/mCs+Z+xD0imLs8y5c+cYn8/nvqwrkubn5dKlS4zP57PDhw8LteXr68tsbGxYfn6+2BgqbkvZZ6fi++Di4sIGDBjAGJPse2HQoEFCiZ0xxkJDQ0XiK8/Ly4t1795dKNayxFD2WXn06BEzMTHhfoiU2bx5MzM1NWXPnz9njH1IHnw+n8XExHB1Xrx4wTp27MhWrlzJlfH5fLZu3TruednfJScnc2X3799nfD6fhYWFVRq7vFQ5vFZ2jKakpESiXtP169chEAgwbNgwofKuXbuiRYsWiIuLEyovP/lAQ0MDurq6yMvLk2hdlWnfvj309fXx3XffYenSpfjrr7+gpqaGBQsWoH379nKNeciQIXjy5An+/fdfAEBsbCxyc3PRr18/kbozZszAunXrUFBQgDt37uDkyZPcsQmBQFDtusq64ZXp2LEj3NzcsH37dpw+fRrLly+Hvr6+RNtRJi4uDg4ODtDR0eHKVFVV4eTkhNu3byM3N5cr5/P5ErcrEAjw999/g8fj4fr162Jn/ZWWloLH44mUDx8+HObm5kKPiu/hwYMHERkZicjISISHh2Pp0qVIT0/HuHHj8O7dO4m3LS4uDoaGhujatatQ+yNGjIBAIMC1a9dqvD9W5ssvv8SzZ8/w5MkTCAQCJCYmYvr06VBSUkJsbCwA4Pz58yJDLtVp27Yt9PT0uOf/+9//AEBouLw8aX5erly5AuDDTK/i4mLu0a9fP+Tk5ODmzZsSbcOVK1fQuHFjdOnSRaSdx48f49mzZxK9Dz169MDBgwfh5uaGiIgIPH36FFOnTsWIESMqXXdcXBx69eoFdXV1rszGxgbNmjXjnsfExIAxhn79+gnF179/f5SUlAjNWmzWrBns7Oy454aGhrCyshJ5XSvS0dERmqTUqlUrAB+GHRVNlRMJGjVqBC0tLTx79qzSOoWFhcjJyYG+vj63gU2bNhWp17RpU5EdufwbBXyY4cU+cf65pqYm9u3bh61bt+LUqVOIiIiAmpoaBgwYgCVLlqBhw4ZC9WszZhsbGxgaGuLEiROwsLDAH3/8gT59+oidVfbmzRssXboUp0+fBmMMrVu35g4MS7I+cdtTkbOzMzZt2oRGjRrB1tZWom0oLzs7W2yiKlt3+aRTk4S2cuVKpKSkYMOGDfDx8cG8efMQGRkp9Nq3aNECN27cAGNMKPkEBgZyU65v3rwpNPmgjLm5udBEAhsbG7Rr1w7jx49HZGQkpkyZItG2ZWdnV7rflNWp6f5YmW7dukFDQwOXLl2CsbExiouL4eDgADMzM8TFxaFLly64e/cuFixYIFF7ZTQ0NISel83qq+w4mDQ/L2XHgCrb9ypOea/Mmzdv8ObNG5ibm1faTosWLap9H3766Sc0b94cv//+O/z9/cEYg6mpKXx9fSudlPH27Vs0btxYpLz8ccay7Rw+fHi122loaCiyvEmTJlV+BwOVv4+f+n0qC9XOXuvZsydiY2NRUFAgsgMBH86f+OmnnxASEoJGjRoBALKyskR+2WZmZsLS0vKTgi37cqnY83r37p3QgeBWrVohICAAjDHcuXMHx48fx44dO9CoUSORGXiyjrk8JSUlDBo0CCdPnsScOXNw+vTpSs+x+eGHH/DgwQPs3LkTnTt3hpqaGvLz80UOUn8sxhgWL16MZs2a4f379/D398eaNWtq1EajRo3w8uVLkfLMzEwAHw7Ov379ukZtln0huLu7o3///igqKoKXlxd+/vln+Pn5cfX69u2Ls2fPIiYmBt26dePKy/ceyie96piZmQEAHj16JPG2NWrUCA8ePKi0TtmXUU32x8o0aNAA9vb2uHz5MjIzM9GxY0doamrC3t4eZ8+ehZmZGRo2bCjzGWvS/Lw0bNgQ6urq2Lt3r9jlLVu2lLidVq1aITAwUOxyY2NjANW/D6qqqnBxcYGLiwtevXqF8+fPY9OmTZg1axYuXrwINTU1kbYbN26MrKwskfI3b95wvcay3vLOnTvF/sgQl6DKe/nyJZo0aSLBK1E3VDt7zcXFBdnZ2WK/kN6+fYvg4GAYGRmhR48esLS0hJqamsisifj4eKSnp3/yuTxlPYL09HSu7OXLl9wXBfBhVpO9vT0yMzPB4/FgamqKH374AV988YXYXwuyjrmiIUOGIC0tDSEhIWCMVTr9ODExEf369UPXrl25nb1sNk75Xy9lv2hqKjw8HJcvX8ayZcvw448/Ijo6Wuysm6rY2trin3/+Efp1W1xcjOPHj8PMzAyampo1ai8tLQ2+vr6wsrKCu7s7gA+v11dffYWIiAj8/fffXF0nJye0bdsWfn5+ePHihdj2kpOTJV73tWvXAIA7r0WSbbO1tUVGRobIjLajR49CRUUFlpaWEu2Pkp5q0KdPH8TGxiI+Ph729vYAAHt7e9y/fx9RUVHo1asXVFVVxf6ttE5nkObnxc7ODgUFBSgqKkLHjh25R2pqKn799Vfk5+dL3M6LFy+gq6sr1E5CQgKCg4OhpKRU7ftQUFCAgQMHckPYTZo0wciRIzFu3DhkZ2dzw64V9ejRA//884/Q8jt37uDp06fc87Ke3KtXr4Tiy8vLw5o1a7gfKQDw5MkToeHkjIwMXL9+nXu/gY//zCuKans6nTt3xty5cxEYGIiHDx9i+PDhaNq0Ke7fv4/du3fjzZs3CAsLg4qKCnR1dTFjxgxs3LgRqqqq6Nu3L9LS0hAUFARjY2OMGjXqk4Lt1q0bNDU1sWrVKsyZMwcCgQBbt24V+vXQpUsXMMYwc+ZMTJs2DY0aNcKFCxdw7949TJs2TaRNWcdcUefOndGiRQts2bIFw4YNE/vrCQA6deqEP/74A+bm5jAyMsLVq1exfft28Hg8oWNIOjo6uHv3Lq5cuSI0FlyV1NRUrFmzBs7OzujZsyeAD9Mt/fz8YGNjI/GvKg8PD/zzzz+YMGECZsyYgQYNGmDPnj14+vQptm7dKlEbZcp6NIwxrF27VuhL0s/PD4mJiVi4cCF3To6GhgaCg4Mxa9YsDBs2DF9//TWsra2hqamJhw8fIjo6GtevX4eVlRX3S7fM1atXhYYfHjx4gI0bN8LAwADOzs4Sb9vIkSMREREBDw8PeHp6olWrVvjrr78QFRWFmTNnQldXV6L9sWz//eeff6Cvr1/psZ4vv/wSfn5+iI+Ph4eHB4APx0xUVVVx9epVrF69utLXt2wdMTExMDU1hYWFRY3enzLS/Lw4ODiga9eu8PDwgJubG9q3b4/bt29j48aNsLKykvhcOmdnZ4SHh2Pq1KmYMWMGWrZsidjYWGzbtg3Ozs7Q1NSs9n1QV1eHubk5l6RMTU2RlpaGnTt3wt7eXui4V3nu7u44ffo0Jk+ejBkzZiA/Px9BQUFo0KABV4fP52PEiBFYvHgxnj59CktLSzx58gTr169H06ZNhY6/8ng8zJo1C3PnzoWKigqCg4Oho6ODyZMnc3V0dHRw48YNJCQk1MlzsSQ6JX/mzJkwNzdHeHg41q5dizdv3sDIyAj29vb47rvvuINWAODp6YmmTZti7969iIqKgq6uLgYNGgQvLy+h8yw+hra2NoKDg7FmzRrMnTsXRkZGcHFxQVJSEp48eQLgQ1c1NDQUv/76K/z9/fH+/XsYGxtjxYoVlR4QlGXM4gwZMgTbtm0TORhb3qpVq7Bs2TJu+K1NmzZYsmQJjh8/jsTERK6em5sb/Pz8MGvWLInm5ZeWluKnn36ClpaW0DkhAQEBGDZsGBYtWoRNmzZJtB3t27dHREQE1q1bh0WLFgH4kCx3795d42NEa9euxc2bN7Fu3Tq0aNFCaJm2tjZ++eUXTJw4Ed7e3tixYwd4PB6MjY1x+PBhHDp0CMePH8fhw4fx7t07NG3aFFZWVvjuu+/Qu3dvkQkH5c9TUVFRQZMmTdCtWzfMnj2bG6aVZNs0NDSwZ88erFu3Dps2bUJubi6MjY2xbNkyjBkzBoBk+2P79u0xfPhwhIeH48GDB9i2bZvY18jQ0BBmZma4f/8+rKysuBg6d+6Mq1evVnkpFG1tbUyfPh179+7FnTt3cOzYMYnfm4qk9XlRUlJCSEgIgoKCsHPnTmRlZcHAwADjxo3jkqokNDU1sXfvXgQGBmL9+vXIyclB8+bN4enpienTpwOQ7H0ICAhAUFAQ9u7di8zMTOjq6qJv3774/vvvK113q1atEB4ejp9//hne3t5o2LAhpk+fLvJZXLFiBYyNjREVFYVNmzahcePG6N+/P+bMmSP0w1NfXx/u7u5YvXo13r9/j27dusHb21so6Xl4eODXX3/lhv3qGh5TxCNNhBBSz3h7e+Py5cv4559/5B2KTNXtwUFCCCF1CiUdQgghtYaG1wghhNQa6ukQQgipNZR0CCGE1Jrau4sZIYTUI7z+kl1RAQDY6ZrdMbguq3dJpyY7Avn8lX3YC0o+7UKz5POhrlyzK2lUSswFaUk9TDqEEFIr6OCFWJR0CCFEFqinIxYlHUIIkQXKOWJR0iGEEFlQpqwjDiUdQgiRBRpeE4uSDiGEyALlHLEo6RBCiCwoUdYRh5IOIYTIAuUcsSjpEEKILNAxHbEo6RBCiCzQ7DWxKOkQQogsUM4Ri5IOIYTIAg2viUVJhxBCZIFmr4lFSYcQQmSBco5YlHQIIUQWqKcjFiUdQgiRBUo6YlHSIYQQWaCcIxYlHUIIkQWavSYWJR1CCJEFunOoWPSyEEKILPB4kj9q4OHDhzAxMRF5HDp0CACQnJyMiRMnonPnzujTpw927Ngh9PelpaUICgpCr169YGlpCRcXF6SmpgrVkUYblaGkQwghsqDEk/xRA3fv3oW2tjYuXrwo9Bg2bBhev36NKVOmoHXr1vjtt98wZ84cBAUF4eDBg9zfBwcHY9++fQgICMCBAwegrKwMV1dXFBYWAoBU2qgKDa8RQogsyOgnfUpKCtq2bQt9fX2RZbt27YKqqiqWLFkCFRUVtG3bFqmpqQgJCcGYMWMgEAgQGhqKefPmoXfv3gCAwMBA9OzZEydOnMCIESNw8ODBT26jKtTTIYQQWZDR8Nrdu3fRtm1bscsSEhJgY2MDFZX/+hN2dnZ4+vQpMjIykJycjLy8PNjb23PLtbW1YWZmhoSEBKm1URXq6RBCiCzUIJfk5OQgJydHpFxHRwc6OjpCZSkpKWjdujW++eYbPHnyBG3atMGsWbPQs2dPZGRkoF27dkL1DQwMAADp6enIzMwEABgaGorUSU9PBwCptFEVSjqEECILNThWs3v3bmzcuFGk3MPDA56entzzvLw8pKWlQU9PDz/88AO0tLRw9OhRTJs2DaGhoSgoKICamppQG2XPCwsLkZ+fL1RWvo5AIAAAqbRRFUo6hBAiCzUYNps8eTKcnZ1Fyiv2cjQ1NZGYmAhVVVXuS9/CwgIPHjzA9u3boa6uLvLFX/ZcU1MT6urqXFn5pCEQCKCpqQkAUmmjKpR0CCFEBng16OmIG0arjJaWlkgZn8/H2bNn0apVK274q0zZcyMjIzDGuDJtbW2hOmVDakZGRp/cRlVoIgEhhMgAj8eT+CGpa9euwcrKCjdv3hQq//fff9G+fXvY2toiMTERxcXF3LKYmBi0adMG+vr66NChA7S1tREXF8ctf/fuHW7fvo2uXbsCgFTaqAolHUIIkQFZTF6zsLBAy5YtsWjRIiQmJuLBgwcICAjAtWvX8N1332HUqFHIz8/HwoULcf/+fRw5cgS7du2Cm5sbgA/HXSZMmIDAwECcOXMGd+7cgZeXFwwNDTFgwAAAkEobVb4urKyvVE/w+reUdwhEgbDTaQCAgpI8OUdCFIW6cvXHJSSh9n1niesK1l2XuG5GRgbWrl2LS5cuIScnB+bm5vj++++5XsatW7ewfPlyJCUlQV9fH1OmTMGkSZO4vy8pKUFgYCCioqKQn58Pa2tr+Pn5oVWrVlwdabRRGUo6pF6jpEMqklbSafCDlcR1C9dek8o66wKaSEAIITKgpERHL8ShpEMIITJAdzYQj5IOIYTIQE1mpdUnlHQIIUQGKOmIR0mHEEJkgEf3qxaLkg4hhMgA9XTEo6RDCCEyoFzDm7PVF5R0CCFEBqinIx4lHUIIkQFKOuJR0iGEEBmgnCMeJR1CCJEB6umIR0mHEEJkgJKOeJR0CCFEBujaa+JR0iGEEBmgjo54lIrrAL2GumCn00QehxZt5eqM7fMVboacQf6x+0jZdQEew6cKtaGr3QghXr/g2f4EvPrtXxxZugPGRv+rdJ2/+W3DBo+AKuOaPGA02Ok0tDak20XURQKBACOcRmLRwsVc2atXr7Fgvg962jugp70Dfpg7D8+ePZdjlHWXLO4c+jmgnk4dYNnWDAAwwPtb5OS948pf5bwBAIzpPQwRCzZibWQI5mz6G32temKDxzLk5OUi7HQkAGDfwmBYtTPHjyEBeJ37Fv6T5+GvX/aj44x+eF8gfC+Zn6f5YGTPwdj4+65KYzJsrI91bn5S3lJSm7YEb8Wjh4/QsZMFAKBIUIQZLm54lZWFud/PQbNmRojYuw+Tx09B5JGD0NXVlXPEdUt9SyaSoqRTB3QyNsWL15k4nfiP2OW/TPfBpugwzN/2oWdy9vpltDFshf5dHBB2OhL6uk0wyLYPXNb8gD1nfgMApKQ9RMquCxhk+yV+u3AMAGBs9D8Eufujr1VP5BXkVxlTsOdy5BXmQw/0RVQXJd++g4i9+9C48X/v3/lz53H/3n1sCglGj57dAQC2drYYPmQEdm7fBa95c+UVbp2kRElHLBpeqwM6fWGKm4+SxS6z5ndCa8OWCDkWLlQ+YZUnJv48GwCgrtoAAMT2kvQa/vels27mYjTTM0CPuSOQ+Tar0nhG9RoKh452WLJn3cdtEJGr4uJi+PkuwRSXyTAwMODKUx+nQllZGXb2XbkyNTU1mFuY49LFy/IItU5TUuJJ/KhPFKqn8/r1axw4cAAJCQlIT09HYWEhNDU1YWRkhK5du2L06NH1sovf6QtTFAgKcenXI+jS3gJZ2W8QdCQUqw9uRidjUwCAirIyzq2NRDfTLsh4k4WV+zdic3QYAODpy+eIvnIaPt964t/Hd/A69y0CZy5B9vscHI/7m1uPz85fcDs1pcpYGjfUxUaPZZi7eYnIsBypG3Zu34WioiK4TnfB32f+e/8NjYxQUlKCl5kv0ax5M6782bNneE7HdWqMrjItnsIknVu3bmHatGnQ0tKCjY0NTE1NoaamBoFAgMzMTOzbtw+hoaHYuXMnOnToIO9waw2Px4PZ//h4X5CHeSHL8CTzOYZ0dcRKF2+oqzVAYZEAxSXFOOq/E5uid2PpnnVw7jEYm2avwKucNzh4PhoAMGeTH07/HIE7oecBAPmFBXBaNBnPstK5dVWXcJyJ1MsAACAASURBVADg1++W4Nr9JET8fRjDuw+UzUYTmXn08BG2h+xASOgWqKqpCi3r0as7GjfWhY+3L3z9fKDXRA/79u7H/XsPUFxcLKeI6y46piOewiSd5cuXw9HREcuXLxc7v720tBQ+Pj4ICAjA3r175RChfPB4PDgtmownmc/x4PljAMC5G5ehraGJn8bMwsr9G6GirIKQ4+FYuW8jgA/HdIyNWsFvohcOno9G8yZGuBL0OzLfvsKopTOQk5eL6UO+xWG/7RiwYDxik69KFMtAmz5w7jEIFtP7ympziQyVlpZiyaKlGDFyOCw7W4osb9y4MdYFrYOPty+ch40CADj0ccDIr51x9Eh0bYdb51HSEU9hjukkJydj2rRplZ5QpaSkhGnTpiEpKamWI5Ov0tJSnL1+mUs4ZU7Gn4OWhqbQ8/JOX70AfssvoKqiiqkDx6CxdiMMWjABUReP48zVCxgb8B2SUlPwy7SFEsWhraGFrXNXwS9sLZ5lvYCykjL3XikrKdMHrA7YF74fz5+nw91zFoqLi7neC2OM+38Xaysc//MPHDsVjT/PnsKGTeuRl5ePRo105Bl6ncTjSf6oTxQm6ejr6+Pu3btV1rl582a9O6bTrIkhpg8Zj6aN9ITKNRqoAwAeZ6QBANRUhIdKVJVVwAMPpaWlaKXfHE9fPsfzVy+E6lxKiodZa75EcVi3/zBhYd1MPxSfSkXxqVRE+W0DADwIu4TQeWs/avtI7fn7zN/IzMhEr269Yd3JFtadbHH3bgqif/8D1p1skfRvEn4/fBT5eflo2aolDA0/TDK4l3IPJh1M5Bx93UPn6YinMMNrU6dOhY+PD5KTk9G1a1cYGRkJHdOJi4vD7t27MXdu/Zq22UBVDSFeP0NLXQO/Rm3nykf1GoK7Tx/g6JU/kV9YgNG9nXApKZ5bPtSuL+JTbqCktAQpzx7CZdBYtGjaTOgYjl0HKzx68USiOBLv3YSN+xChst6d7LHWbTGGLZqCW4/ufOKWEllbtMQX79+/FypbMN8Hrdu0xsxZM6Cnp4fFPhOgpa2Ffv0/DKHeuH4DybeTMeabr+URcp1Gl8ERT2GSzvjx46GhoYGtW7di27ZtQtmfMQZjY2P4+Phg9OjRcoyy9j1+8RQRfx/Bsik/opQxJD+5h9EOThjVcwhGLHFFbt47rNi3AUsmfo+c97k4fzMGY/t8hd6d7DHEZxIAIPTkAcx1noYTK/bAf28gcvLeYVK/r9HD3BYjlrhKFMe7/PdITLkpVNay6YcZTrce3UHq//e4iOJqY9xGpEy9QQPo6jaCuYU5AKDPl72x9pd14PF4KCoqwuqVa2Biwsewr4bVbrCfgXrWgZGYwiQdABg5ciRGjhyJV69eISMjA/n5+VBXV0ezZs2gp6dXfQOfKde187BowhzMdXZFsyYGSH5yH6P8ZyD6ymkAQED4emS/z4XniKn4ccxMpKQ9wij/GTiVcA4A8PZdNnp6OWON2yJs8/oFPB4PNx7chuOPY3H+5hU5bhlRNP7Ll+KXVauxdJE/lJR46NXbAV7z5ojMdCPVq2/DZpLiMcaYvIOoTbz+dJ0w8h92+kMPraCEzjkiH6gra1ZfSQKm64dUX+n/Jc85/lHrePToEUaOHImFCxdyo0BpaWlYtmwZ4uPjoa6uDmdnZ3h5eUFF5b8+Rnh4OEJDQ/Hy5UuYmprCx8cHnTp14pZLo43K0KAjIYTIgKwnEhQVFWHevHnIy/vvB5NAIICrqyt4PB7279+PZcuWITIyEhs2bODqREVFYfXq1Zg7dy6ioqJgbGyMadOm4dWrV1JroyqUdAghRAZkPWV6w4YN0NLSEio7deoUnj17hp9//hl8Ph99+/bFvHnzEBYWhoKCAgDA1q1b8e2332LYsGFo164dli9fDm1tbezfv19qbVSFkg4hhMiAkpKSxI+aio+Px4EDB/Dzzz8LlSckJMDU1BSNGjXiyuzs7JCXl4ekpCRkZWXh8ePHsLOz45YrKyvD2toaCQkJUmujKgo1kYAQQj4XNRk2y8nJQU5Ojki5jo4OdHR0ROrOnz8fvr6+aNasmdCyjIwMGBkZCZWVXdT1xYsXUFf/cH6fuDq3bt2SWhtVUZikM378eInrhoeHV1+JEELkqCbDZrt378bGjRtFyj08PODp6SlUtmTJEnTu3BnDholOYy8oKBAZclNTUwMAFBYWIj8/X6isfB2BQCC1NqqiMEnnf/+r/C6WhBBS19SkpzN58mQ4OzuLlFfs5Rw5cgQJCQmIjhZ/LTx1dXWRL/6y55qamlwvRVwdTU1NqbVRFYVJOitXrpR3CIQQIj01SDrihtHE+e233/Dq1Sv06dNHqNzf3x+7du2Cra0tkpOF772VmZkJ4MNwWPPmzbkyExMToTqGhoZcvU9toyoKk3QqysrKwsOHD1FSUsKVCQQC3LhxA7Nnz5ZjZIQQUj1Z3JxtzZo13AyyMgMGDICHhwecnJxw/fp1REVFIScnh0tisbGx0NLSgpmZGdTU1GBsbIy4uDj06tULAFBSUoLExESMHTsWAGBra/vJbVRFIZPOkSNHsGjRIhQVFYHH44ExxnVVW7RoQUmHEKLwZHFFgsp6Enp6emjRogWaNm2KX3/9FV5eXvjxxx/x/PlzrF27FlOnTuWOwbi4uCAgIADGxsbo1KkTduzYgffv33Mnl/br1++T26iKQiadkJAQODk5wc3NDWPGjMHOnTuRkZGBpUuXihxUI4QQRSSPy+A0aNAA27dvh7+/P8aMGQMdHR2MHTsW7u7uXJ0xY8bg3bt3WL9+Pd6+fQtzc3OEhoZylxqTRhtVUcjL4HTs2BFHjhxB27ZtMXHiRMyYMQO9evXCn3/+iS1btiAqKuqj26bL4JDy6DI4pCJpXQbHNlTyK3PHu0RKZZ11gUKeHKqmpsZ141q3bs3dZ8fCwgKpqanyDI0QQiRCN3ETTyGTjoWFBXc5hfbt2+PSpUsAgHv37kFVla52SwhRfHQTN/EU8piOp6cnpk2bBj09PTg7OyM4OBgDBw5EZmYmhg4dKu/wCCGkWnQTN/EUMunY2Njg1KlTEAgE0NPTQ0REBPbv349mzZph4sSJ8g6PEEKqVd96MJJSyKQDCE8NbNeuHXx9feUYDSGE1AzlHPEUMulMmjSpyuVhYWG1FAkhhHwc6umIp5BJp+IJUMXFxUhNTcXDhw+rTUiEEKIIKOmIp5BJZ/Xq1WLLAwMDxV7+mxBCFA0lHfHq1PSKr7/+GseOHZN3GIQQUi0lJZ7Ej/pEIXs6lbl//z4U8AIKhBAiino6Yilk0pk/f75I2bt373DlyhUMGjRIDhERQkjN0PCaeAqZdNLT04We83g8qKqqwtXVFVOnTpVTVIQQIrl6NmomMYVMOnv27Kl02cuXL0VupUoIIYqGejriKeREAlNTU7x+/Vqk/Pnz5xgwYIAcIiKEkJpRVlKS+FGfKExP5/jx47hw4QIAgDGGgIAANGjQQKhOWlqaRPfgJoQQeatfqURyCpN0OnfujPDwcG52WlpaGlRU/guPx+NBS0sLK1eulFeIhBAiMSUaXhNLYZJO8+bNER4eDgCYOHEigoODuftzE0JIXUPHdMRTyB7gnj17EB8fj7Nnz3Jlvr6+OH/+vByjIoQQySnxeBI/6hOFTDqHDh3CnDlz8OzZM65MIBDA3d0dx48fl2NkhBAiGbqJm3gKM7xW3o4dO+Dn54fRo0dzZb/88gusra2xefNmDBkyRI7REUJI9VTqWTKRlEL2dNLT02Fvby9S3r17dzx58kQOERFCSM1QT0c8hUw6LVq0QExMjEh5YmIiDAwM5BARIYTUDB3TEU8hh9fGjx+PFStW4MmTJ7C0tAQA3Lp1C2FhYfD09JRzdIQQUr36lUokp7BJp6CgALt27cK2bdsAAAYGBpg3bx4GDhwo5+gIIaR69a0HIymFTDoA4OrqCldXV7x58waqqqpISkrCvn37sGrVKty6dUve4RFCSJXq2+VtJKWwSQcAcnNzER0djf379+PRo0dQU1ODs7OzvMMihJBqUU9HPIVMxbdu3YKPjw8cHBywYsUKPHr0CJMmTcLZs2fh7+8v7/AIIaRavBo8aiIjIwPff/897OzsYGVlhRkzZuDevXvc8uTkZEycOBGdO3dGnz59sGPHDqG/Ly0tRVBQEHr16gVLS0u4uLggNTVVqI402qiMwiSdgoICREZGYtSoURg9ejROnjyJAQMGYOvWrVBWVsbo0aOhp6cn7zAJIUQispi9xhjD9OnT8eLFC+zYsQORkZFQV1fHlClT8P79e7x+/RpTpkxB69at8dtvv2HOnDkICgrCwYMHuTaCg4Oxb98+BAQE4MCBA1BWVoarqysKCwsBQCptVEVhhtccHBxQWloKBwcHuLm5oU+fPlBTUwMAukU1IaTOkcXwWlZWFtq2bYvZs2fD2NgYADBr1iwMHz4cKSkpiI2NhaqqKpYsWQIVFRW0bdsWqampCAkJwZgxYyAQCBAaGop58+ahd+/eAIDAwED07NkTJ06cwIgRI3Dw4MFPbqPK10Xqr8pHKi4uhpaWFtTV1VFUVITi4mJ5h0QIIR9NFieH6uvrIzAwkEs4WVlZ2LFjBwwMDMDn85GQkAAbGxuhK/Tb2dnh6dOnyMjIQHJyMvLy8oROvtfW1oaZmRkSEhIAQCptVEVhejqXLl3CyZMnERkZiaioKKirq6N3794YMmRIvTtjlxBS9ynL+HvL29sbhw8fhpqaGjZv3gwtLS1kZGSgXbt2QvXKTqhPT09HZmYmAMDQ0FCkTnp6OgBIpY2qKEzS0dDQgLOzM5ydnfH48WNERkbi999/x6lTp8Dj8bBjxw5MmzYNbdu2lXeohBBSrZoMr+Xk5CAnJ0ekXEdHp9JbvLi6umL8+PGIiIiAu7s7wsPDUVBQwB2WKFP2vLCwEPn5+UJl5esIBAIAkEobVVGYpFNemzZtMG/ePHz//fc4d+4coqKiEB0djSNHjsDe3h47d+6Ud4iEEFKlmiSd3bt3Y+PGjSLlHh4elV6FpX379gCA5cuX48aNG9izZw/U1dVFvvjLnmtqakJdXZ0rK580BAIBd1dmabRRFYVMOmWUlJTg6OgIR0dHvH79GocPH0ZUVJS8wyKEkGrV5LDA5MmTxZ6DWLGXk5mZidjYWDg5OXHtKykpoV27dsjIyICRkRE3/FX+bwDAyMiIm5SVmZkJbW1toTplQ2rSaKMqCjORoDp6enpwdXXFsWPH5B0KIYRUS6kGDx0dHbRs2VLkUTHppKenY968eUhMTOTKioqKcPv2bbRt2xa2trZITEwUmogVExODNm3aQF9fHx06dIC2tjbi4uK45e/evcPt27fRtWtXAJBKG9W9LoQQQqRMFrPXOnbsCDs7OyxevBgJCQlISUnBTz/9hLdv32LKlCkYNWoU8vPzsXDhQty/fx9HjhzBrl274ObmBuDDcZcJEyYgMDAQZ86cwZ07d+Dl5QVDQ0MMGDAAAKTSRpWvC6tnJ8Hw+reUdwhEgbDTaQCAgpI8OUdCFIW6cvXHJSTxw8X5Etdd2/MXietmZ2djzZo1OHv2LHJzc2FjY4P58+fDxMQEwIcruixfvhxJSUnQ19fHlClTMGnSJO7vS0pKEBgYiKioKOTn58Pa2hp+fn5o1aoVV0cabVSm3iUdQgipDfMu/SRx3TU9fpZhJIpFoScSEEJIXaVEd9QRq94lHRpGIeWVDaXQfkHKSGt4jU5qF6/eJR1CCKkNdGsD8SjpEEKIDCjxaHKwOJR0CCFEBqinIx4lHUIIkQEenQYpFiUdQgiRAerpiEdJhxBCZIBmr4lHSYcQQmSAR+fpiEVJhxBCZEBZiY7piENJhxBCZECJJhKIRUmHEEJkgI7piEdJhxBCZICSjniUdAghRAbogp/iUdIhhBAZoJ6OeJR0CCFEBpTp2mtiUdIhhBAZoAt+ikdJhxBCZICG18SjpEMIITJAVyQQj5IOIYTIAF3wUzxKOoQQIgM0kUA8SjqEECIDPEo6YlHSIYQQGaBjOuJR0iGEEBmgYzriUdIhhBAZoCnT4lHSIYQQGaBrr4lHSYcQQmRASUlZ3iEoJJpeQQghMqAEnsSPmnj37h1WrFgBR0dHWFlZYeTIkfjrr7+45WlpaXBzc0OXLl3QvXt3rF69GsXFxUJthIeHo2/fvujUqRPGjh2LmzdvCi2XRhuVvy6EEEKkjsfjSfyoiQULFuDcuXMICAjAkSNHMGDAAHh4eODKlSsQCARwdXUFj8fD/v37sWzZMkRGRmLDhg3c30dFRWH16tWYO3cuoqKiYGxsjGnTpuHVq1cAIJU2qnxdGGOsRltcxxWU5Mk7BKJA1JU1AdB+Qf5Ttk98qvB7OyWuO779VInqvXz5Ej179sTWrVvRp08frnzy5Mlo2rQp+vTpgwULFuDSpUto1KgRAODQoUNYsWIFrly5AnV1dQwcOBB9+/bF/PnzAQAlJSXo378/Ro0aBXd3d0RHR39yG1Whng4hhMiALHo6Ghoa2LZtG2xsbETWlZ2djYSEBJiamnLJAgDs7OyQl5eHpKQkZGVl4fHjx7Czs+OWKysrw9raGgkJCQAglTaqQhMJCCFEBmpyrCYnJwc5OTki5To6OtDR0eGea2trw8HBQajO9evXERMTA19fX1y8eBFGRkZCyw0MDAAAL168gLq6OgCIrXPr1i0AQEZGxie3URVKOoQQIgNKPMlnr+3evRsbN24UKffw8ICnp2elf/fgwQN4eHjA0tISY8eOxZkzZ6ClpSVUR01NDQBQWFiI/Px8obLydQQCAQCgoKDgk9uoCiUdQgiRgZoMm02ePBnOzs4i5eV7ORXFx8fDw8MDzZs3x9atW6Gqqgp1dXWRL/6y55qamlwvRVwdTc0Px7Kk0UZV6JgOIYTIAK8G/3R0dNCyZUuRR2VJ5+jRo5g6dSrMzc2xZ88e6OrqAvgw5JWZmSlUt+y5kZERmjdvLlRWvo6hoaHU2qgKJR1CCJEBWU2Zjo6Oxvz58zF48GBs3boV2tra3DJbW1skJycLHR+KjY2FlpYWzMzMoKenB2NjY8TFxXHLS0pKkJiYiK5du0qtjaooL1myZEmNtriOK2ZF8g6BKBAVJVUAtF+Q/5TtE5/q7tskiXs6po0tJGrzxYsXcHV1hbW1NZYsWYLCwkLk5eUhLy8PRUVFMDExwdGjRxETEwMTExPcvHkTAQEBmDRpErp37w7gw7GXDRs2wNDQEKqqqli7di1SUlKwYsUKaGhooHXr1p/cRlXomA4hhMhATSYSSOrPP/9Efn4+YmJi0KtXL6FlXbp0wb59+7B9+3b4+/tjzJgx0NHRwdixY4XOnRkzZgzevXuH9evX4+3btzA3N0doaCj09PQAAA0aNPjkNqpCJ4eSeo1ODiUVSevk0KOpkRLX/ar111JZZ11APR1CCJEBuombeJR0CCFEBugmbuJR0iGEEBmgno54lHQIIUQG6M6h4lHSIYQQGZDF7LXPASUdQgiRAbpdtXiUdAghRAZoeE08SjqEECIDNJFAPLr2Wj1w7u9z6GbTQ6gs6d8kWJpZiTzW/rJOTlGS2lBSUoKdO3bBaeBXsLfujvFjJyI25r9raOXm5mK5/wr0deiPbjY9MMd9Lp4+eSrHiOsuWV17ra6jns5n7vq161j4ky8qXngi5e49aGhoICR0i1C5vr5+bYZHatmu0N0IDtqEWR7fwaKjOY4c/h2zZrhj7/49MDXrgAU/LsSd5DuYO28OdBs1QsiWbXCdMh1RRyOFLixJqqdMEwnEoqTzmRIIBAjfE4HgoE3Q0NBAaWmp0PJ7KffQrn07dLLsJKcIiTxE//4HBg8dhGlurgAAWztbXEu8jsNRR6CmNhoX/rmItevXoF//vgCAtu3aYnD/oTj393k4fTVUnqHXOTS8Jh4lnc/UxX8uYce2UHjNm4vst9kI27VHaHlKyj3wTdrLKToiLwKBAFrleizKysrQbqiNnOxstGzVEnv2hcGkA59brqr24YrLgqLq7whJhNW3YTNJ0TGdz5R5R3Mc//MYxk/8VuzOfz/lHl6kv8AY57Gw7mQLp4Ff4eiRo3KIlNSmsePG4NjRY4i9Eovc3FyE74nAg/sPMGjwQDRo0ACdLDuiQYMGKC4uxoP7D+DnswRNmjSBY98v5R16nVOTm7jVJ9TT+UwZGhpUuiwzMxNv3rzFk9SnmO3lCR2dhjhx/CQWLfQDj8fDsOHDajFSUpvGfDMa8bHxmOE6kyvzmO2OPo59hOotXbwMR48chZKSEpYG+HF3piSSo56OeAqTdHr37i3xm3Tu3DnZBvOZa9iwITaFBINv0p6bOGDf3R4vM19iy6YQSjqfKcYYvpvujocPHsJn8QIYf/EFYq/EYsumrWio0xDffDuWqzvmm9EYNtwJZ/86i0UL/VBcUoKRo5zlGH3do0QDSWIpTNKZP38+Fi5ciC+++AJ9+/aVdzifNQ0NDfTo2V2kvEevHrh08TLy3udBU0s69xQhiuPa1eu4dvUaVq/7BQMG9QcA2Ha1QXFJMQLX/oqvhg/j3veOnT7cybKrnS0yMjKwIySUkk4NKfEo6YijMEln6NChaNCgAby8vLBy5Up06NBB3iF9th4/TkVcTBxGjBwONTU1rrygoADq6urQ0Kz6drOkbsp48QIA0Mmyo1C5VRcr7Ny+C2lpaUj69zZGjBwuNOrQwbQDLpy/WKuxfg5oeE08hUrF/fr1w9ChQxEYGCjvUD5rmRmZWO6/Ahf++e+LhDGGv878DStrK/qwfKZat2kNALh27bpQ+a2bt6CiooIHDx5iyaKliI9L4JYxxhBzOQbt+e1qNdbPAU0kEE9hejplfH19kZaWJu8wPmvWNl1g1cUKAUuXIyc7B/r6TRF58Dfcu3sPu/aGyjs8IiNm5mbo1bsXVvivRE52Doy/MEZCXAJ2bt+FbyeMQ/8B/RBhGYHFCxfDY44HGjfWxeHfjuD6tRsI3rpR3uHXOfUtmUiKxyqeqv6ZKyjJk3cItW7zxi3YvTMMMYmXubLst9kI+nUD/jl/Adlvs2Fq1gFzvGaji00XOUZa+9SVPxzDqC/7RUFBATauD8bJE6eQk52D/7X+H8Z8Mxqjx34NHo+Ht2/fIijww36Rk50DU3NTuHvOQlc7W3mHXmvK9olPlZB1ufpK/8+mqegx1s8VJR1Sr9W3pEOqJ62kk5h1ReK61k27SWWddYHCDa8RQsjngGaviUdJhxBCZICO6YhHSYcQQmSAZoGKR0mHEEJkgHo64ilM0hk/frzEdcPDw2UYCSGEfDpKOuIpzJGu//3vfxI/CCFE0SnxlCR+fKytW7di3LhxQmVpaWlwc3NDly5d0L17d6xevRrFxcVCdcLDw9G3b1906tQJY8eOxc2bN6XeRmUUpqezcuVKeYdACCFSI+tjOuHh4QgMDISVlRVXJhAI4OrqCmNjY+zfvx9Pnz7FwoULoaKiAi8vLwBAVFQUVq9ejWXLlsHU1BTbt2/HtGnTcOLECTRp0kQqbVRFYc/TycrKwsOHD1FSUsKVCQQC3LhxA7Nnz/7odul8DFIenadDKpLWeTrJb29IXNdU11LiuhkZGfDz80NsbCyMjIygq6uLffv2AQCio6OxYMECXLp0CY0aNQIAHDp0CCtWrMCVK1egrq6OgQMHom/fvpg/fz4AoKSkBP3798eoUaPg7u4ulTaqojA9nfKOHDmCRYsWoaioCDweD4wx7ldDixYtPinpEEJIbZDVMZ2kpCRoaWnh6NGjCA4ORmpqKrcsISEBpqamXLIAADs7O+Tl5SEpKQmtW7fG48ePYWdnxy1XVlaGtbU1EhISpNZGVRQy6YSEhMDJyQlubm4YM2YMdu7ciYyMDCxduhSenp7yDo8QQqpVk+G1nJwc5OTkiJTr6OhAR0dHqMzR0RGOjo5i28nIyICRkZFQmYHBhxs6vnjxAurq6gAgts6tW7ek1kZVFDLpPH36FBs2bECbNm1gYmKC169fw9HREcXFxdiyZQuGDx8u7xAJIaRKNenp7N69Gxs3il5U1cPDo0Y/tAsKCqClpSVUVnb7ksLCQuTn5wuVla8jEAik1kZVFDLpqKmpcRvUunVr3L17F7169YKFhYVQV5IQQhRVTWalTZ48Gc7OojfJq9jLqY66urrIF3/Zc01NTa6XIq6Opqam1NqoisJMmS7PwsIC+/fvBwC0b98ely5dAgDcu3cPqqqq8gyNEEIkxJP4oaOjg5YtW4o8app0jIyMkJmZKVRW9tzIyAjNmzcXKitfx9DQUGptVEUhk46npyfCw8OxY8cODBs2DElJSRg4cCDmzp2Lfv36yTs8QgipFo/Hk/ghLba2tkhOThY6PhQbGwstLS2YmZlBT08PxsbGiIuL45aXlJQgMTERXbt2lVobVVFesmTJEilsq1Q1b94czs7OaNOmDYyMjPDll18iNzcXffv2xezZs6GsrPzRbRezIilGSuo6FaUPPWfaL0iZsn3iU70VvJL4zqGNGzT9qHWcOXMG2dnZ+PrrrwF8OBxx9OhRxMTEwMTEBDdv3kRAQAAmTZqE7t0/3LNHTU0NGzZsgKGhIVRVVbF27VqkpKRgxYoV0NDQkEobVVHY83Rkhc7HIOXReTqkImmdp/MoN0XiusYN+R+1Dm9vb6SmpnLn6QBAamoq/P39ER8fDx0dHYwaNQpz5syBktJ/A1uhoaHYvXs33r59C3Nzc/j4+MDc3FyqbVRGIZPOpEmTqlweFhb20W3Tlwspj5IOqUhaSefxu3sS122j3V4q66wLFHL2WsWDUcXFxUhNTcXDhw+rTUiEEKIIlBTzkLncKWTSWb16tdjywMBAsSdQEUKIoqH76YhXp1Lx119/jWPHjsk7DEIIqZakkwjq2y0QFLKnU5n79+9DAQ9BEUKICOrpiKeQSafsyqXlvXv3DleucaCApgAACfRJREFUXMGgQYPkEBEhhNRMfevBSEohk056errQcx6PB1VVVbi6umLq1KlyiooQQiRHSUc8hZwyXZWXL19CX1//o/+epsaS8mjKNKlIWlOmX+Q/lbiukUYrqayzLlDIiQSmpqZ4/fq1SPnz588xYMAAOURECCE1Jfm11+oThRleO378OC5cuAAAYIwhICAADRo0EKqTlpYm0VVMCSFE3upXKpGcwiSdzp07Izw8nJudlpaWBhWV/8Lj8XjQ0tLCypUr5RUiIYTUAKUdcRTymM7EiRMRHBxc48t6S4LG7kl5dEyHVCStYzqZBc8lrmug3lwq66wLFPKYzp49exAfH4+zZ89yZb6+vjh//rwcoyKEEMnRyaHiKWTSOXToEObMmYNnz55xZQKBAO7u7jh+/LgcIyOEEMlQ0hFPIYfXBg0aBFdXV4wePVqo/MCBA9i7dy+io6M/um0aRiHl0fAaqUhaw2tZBS8krttU3Ugq66wLFLKnk56eDnt7e5Hy7t2748mTJ3KIiBBCakYedw6tCxQy6bRo0QIxMTEi5YmJiTAwMJBDRIQQQqRBYaZMlzd+/HisWLECT548gaWlJQDg1q1bCAsLg6enp5yjI4SQ6tW3YzWSUshjOgCwY8cO7Nq1Cy9fvgQAGBgYwM3NDQMHDkTTph93P3GAxu6JMDqmQyqS1jGdN4UvJa7buMHHX9qrrlHYpFPmzZs3UFVVRVJSEvbt24e//voLt27d+uj26MuFlEdJh1QkraTzVpAlcV1dtY//IV3XKOTwWpnc3FxER0dj//79ePToEdTU1ODs7CzvsAghRAI0vCaOQiadW7duYf/+/Th+/Djy8/PB4/EwadIkuLm5QU9PT97hEUJItSjliKcwSaegoAB//PEH9u3bh6SkJGhpaWHAgAEYMmQI3N3dMXr0aEo4hJA6hNKOOAqTdBwcHFBaWgoHBwe4ubmhT58+UFNTAwC6RTUhpM6pb+ffSEphztMpLi6GlpYW1NXVUVRUhOLiYnmHRAghH40ugyOewvR0Ll26hJMnTyIyMhJRUVFQV1dH7969MWTIEPrFQAipg+h7SxyFnDL9+PFjREZG4vfff8fLly/B4/EwYsQITJs2DW3btv2ktmlqLCmPpkyTiqQ1ZfpdUbbEdbVVG0llnXWBQiadMqWlpTh37hyioqJw7tw5lJSUwN7eHjt37vzoNunLhZRHSYdUJK2k8744R+K6WirSv3eYolLopFPe69evcfjwYURFReHYsWMf3Q59uZDyKOmQiqSXdHIlrqul0lAq66wL6kzSkRb6ciHlUdIhFUkr6eQVv5O4rqaKtlTWWRcozEQCQgj5nNAEKPHqXdKR1q8Y8nmh/YKQ2lHvhtcIIYTIj8KcHEoIIeTzR0mHEEJIraGkQwghpNZQ0iGEEFJrKOkQQgipNZR0CCGE1BpKOoQQQmoNJR1CCCG1hpIOIYSQWkNJR84cHR1hYmLCPUxNTWFjY4MpU6bg6tWrUl9famoqTExMEBsbCwDw9vbGuHHjJPpbxhgOHz6MV69eVVqntLQUQUFB6NWrFywtLeHi4oLU1FSpxF6ffG77RXlbt26VuG3y+aGkowAmT56Mixcv4uLFizh//jwiIiKgrq4OFxcXPH/+XKbr9vHxwebNmyWqGxMTA29vb+Tn51daJzg4GPv27UNAQAAOHDgAZWVluLq6orCwUFoh1xuf035RJjw8HIGBgZ8aHqnDKOkoAA0NDejr60NfXx8GBgbg8/lYunQp8vPzcfr0aZmuu2HDhtDV1ZWobnWX6RMIBAgNDYWHhwd69+6NDh06IDAwEFlZWThx4oQ0wq1XPpf9AgAyMjIwc+ZMrFmzBsbGxp8aHqnDKOkoKBWVDxcAb9CgAYAPwy2rVq2Ck5MTunb9v/buJaSNLQzg+D+FBBtTrQ8MFjRiSrFCfYANLqQFC+KDLAVrpcSNdqNWxQeo7SKIumgbacUiihB8QHSluBAKgjulO6mRIFbjopqFIBEXQ9AuxLl6Y+713tpg6veDQPJl5syZw8f5yMyEY2FxcRGA6elpSkpKePToEcXFxQwNDREIBNR2PB4PL1++JCcnh6KiIpaXl88d5++XUba3t6mrqyMvLw+LxUJdXR07OzssLS1RXV0NwLNnz/j48WNQn91uN4eHh+Tn56sxg8FAZmYmX79+vaKRudkiMS8Avn37RnR0NDMzM2RnZ1/dgIiIc+OWNogEu7u79Pb2otfrefLkiRofGxtjYGCAxMRE0tPTmZiYwOFw0NXVRU5ODh6PB7vdzvb2Nna7Hb/fj81mIysrC5fLhc/no7OzM+Rx/X4/L168wGw2Mzo6ilarxW638+rVK1wuFw6Hg9evXzM1NYXZbL6w3wBGo/FcPCkpiR8/flzR6NxckZoXcFIcCwsLr3xMROSRonMNjIyM4HQ6AQgEAiiKQnp6Og6Hg3v37qnbFRQU8PTpU/Xz58+fqa2txWq1ApCSkoKiKDQ1NdHU1MT8/DyHh4f09fURGxvLgwcPaG9vp6Gh4cJ+zM3Nsb+/z/v374mLiwOgu7sbl8uFoijExsYCEB8fT3R0dND+p9f0dTrdubhOp0NRlP87PDfWn5IXQpwlRecaKC8vx2azAXDr1i3u3r3LnTvBa6abTCb1/d7eHru7u/T39/Pp0yc1fnR0xNHREZubm3g8HlJSUtRJASA3NzdkPzweD6mpqerEApCWlkZra+ulziMqKgo4ubdztvAoioJeL4uk/Vd/Sl4IcZYUnWsgJibm3MQRyumkDieTCEBbWxsFBQVB2xqNRmZnZ4PiWq02ZPv/9N1lJCcnA+Dz+TAY/lrz3efzcf/+/V9q+yb6U/JCiLPkQYIIlZCQQEJCAl6vF5PJpL42NjZ49+4dgUCAhw8fsrW1xd7enrrfyspKyDbNZjNer5f9/X019v37dx4/fsz6+vq/rvmekZGBwWA4d1P64OCA1dVVLBbLL5ytuKzrmBdCnCVFJ0JpNBpqamoYHx/H6XTi9XpZWFigo6MDOHlqrKysjMTERJqbm1lbW2N5eZmenp6QbVqtVuLi4mhpacHtdrO6ukpHRwcmkwmz2axer3e73fj9/qD9dTodVVVVfPjwgS9fvrC2tkZjYyNGo5GioqLfMxDinOuYF0KcJUUngtlsNjo7O5mcnKS0tJS3b99itVrp6+sDQK/X43Q60Wq1VFRU0NbWRk1NTcj2bt++zcjICACVlZVUV1eTnJzM4OAgGo2GjIwMCgsLaWxspL+//8I26uvrKS8v582bNzx//pzj42OGh4eDHi4Qv891zAshTmmOL/PPLiGEEOIKyC8dIYQQYSNFRwghRNhI0RFCCBE2UnSEEEKEjRQdIYQQYSNFRwghRNhI0RFCCBE2UnSEEEKEjRQdIYQQYfMTlz3honstaKoAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6892,6 +6998,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9920361757421257\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6899,35 +7006,16 @@
       "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.035867\tvalidation_1-error:0.029195\n",
-      "[5]\tvalidation_0-error:0.029987\tvalidation_1-error:0.017064\n",
-      "[10]\tvalidation_0-error:0.021376\tvalidation_1-error:0.00776\n",
-      "[15]\tvalidation_0-error:0.015318\tvalidation_1-error:0.005706\n",
-      "[20]\tvalidation_0-error:0.010266\tvalidation_1-error:0.005618\n",
-      "[25]\tvalidation_0-error:0.002379\tvalidation_1-error:0.005021\n",
-      "[30]\tvalidation_0-error:0.002088\tvalidation_1-error:0.004547\n",
-      "[35]\tvalidation_0-error:0.002016\tvalidation_1-error:0.004301\n",
-      "[40]\tvalidation_0-error:0.001787\tvalidation_1-error:0.003792\n",
-      "[45]\tvalidation_0-error:0.001611\tvalidation_1-error:0.003318\n",
-      "[50]\tvalidation_0-error:0.001484\tvalidation_1-error:0.003055\n",
-      "[55]\tvalidation_0-error:0.001337\tvalidation_1-error:0.002809\n",
-      "[60]\tvalidation_0-error:0.001174\tvalidation_1-error:0.00251\n",
-      "[65]\tvalidation_0-error:0.001035\tvalidation_1-error:0.002265\n",
-      "[70]\tvalidation_0-error:0.000835\tvalidation_1-error:0.001843\n",
-      "[75]\tvalidation_0-error:0.000688\tvalidation_1-error:0.001562\n",
-      "[80]\tvalidation_0-error:0.000558\tvalidation_1-error:0.001352\n",
-      "[85]\tvalidation_0-error:0.000503\tvalidation_1-error:0.001106\n",
-      "[90]\tvalidation_0-error:0.00042\tvalidation_1-error:0.000966\n",
-      "[95]\tvalidation_0-error:0.000345\tvalidation_1-error:0.000913\n",
-      "[99]\tvalidation_0-error:0.000286\tvalidation_1-error:0.000895\n",
-      "[[56824    39]\n",
-      " [   12    86]]\n"
+      "[[55575  1288]\n",
+      " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6939,6 +7027,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9775534609320577\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6946,35 +7035,16 @@
       "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.032972\tvalidation_1-error:0.016783\n",
-      "[5]\tvalidation_0-error:0.021134\tvalidation_1-error:0.009006\n",
-      "[10]\tvalidation_0-error:0.013966\tvalidation_1-error:0.01034\n",
-      "[15]\tvalidation_0-error:0.013284\tvalidation_1-error:0.008936\n",
-      "[20]\tvalidation_0-error:0.00843\tvalidation_1-error:0.006619\n",
-      "[25]\tvalidation_0-error:0.006766\tvalidation_1-error:0.005829\n",
-      "[30]\tvalidation_0-error:0.005144\tvalidation_1-error:0.00539\n",
-      "[35]\tvalidation_0-error:0.003555\tvalidation_1-error:0.004828\n",
-      "[40]\tvalidation_0-error:0.003282\tvalidation_1-error:0.004249\n",
-      "[45]\tvalidation_0-error:0.001838\tvalidation_1-error:0.00395\n",
-      "[50]\tvalidation_0-error:0.00155\tvalidation_1-error:0.003511\n",
-      "[55]\tvalidation_0-error:0.001306\tvalidation_1-error:0.00302\n",
-      "[60]\tvalidation_0-error:0.001027\tvalidation_1-error:0.002563\n",
-      "[65]\tvalidation_0-error:0.00089\tvalidation_1-error:0.002265\n",
-      "[70]\tvalidation_0-error:0.000758\tvalidation_1-error:0.001949\n",
-      "[75]\tvalidation_0-error:0.000655\tvalidation_1-error:0.001791\n",
-      "[80]\tvalidation_0-error:0.000605\tvalidation_1-error:0.001475\n",
-      "[85]\tvalidation_0-error:0.000517\tvalidation_1-error:0.001317\n",
-      "[90]\tvalidation_0-error:0.000475\tvalidation_1-error:0.001282\n",
-      "[95]\tvalidation_0-error:0.000431\tvalidation_1-error:0.001124\n",
-      "[99]\tvalidation_0-error:0.000402\tvalidation_1-error:0.001036\n",
-      "[[56823    40]\n",
-      " [   19    79]]\n"
+      "[[55855  1008]\n",
+      " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6986,6 +7056,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9732215310195972\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -6993,35 +7064,16 @@
       "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.036091\tvalidation_1-error:0.010095\n",
-      "[5]\tvalidation_0-error:0.02541\tvalidation_1-error:0.006303\n",
-      "[10]\tvalidation_0-error:0.019367\tvalidation_1-error:0.006864\n",
-      "[15]\tvalidation_0-error:0.015997\tvalidation_1-error:0.00546\n",
-      "[20]\tvalidation_0-error:0.012036\tvalidation_1-error:0.004881\n",
-      "[25]\tvalidation_0-error:0.010523\tvalidation_1-error:0.004512\n",
-      "[30]\tvalidation_0-error:0.00652\tvalidation_1-error:0.004161\n",
-      "[35]\tvalidation_0-error:0.005087\tvalidation_1-error:0.003704\n",
-      "[40]\tvalidation_0-error:0.003803\tvalidation_1-error:0.003564\n",
-      "[45]\tvalidation_0-error:0.002381\tvalidation_1-error:0.003283\n",
-      "[50]\tvalidation_0-error:0.000976\tvalidation_1-error:0.002651\n",
-      "[55]\tvalidation_0-error:0.000811\tvalidation_1-error:0.002335\n",
-      "[60]\tvalidation_0-error:0.000719\tvalidation_1-error:0.002036\n",
-      "[65]\tvalidation_0-error:0.000635\tvalidation_1-error:0.001984\n",
-      "[70]\tvalidation_0-error:0.00058\tvalidation_1-error:0.001826\n",
-      "[75]\tvalidation_0-error:0.000517\tvalidation_1-error:0.001808\n",
-      "[80]\tvalidation_0-error:0.000429\tvalidation_1-error:0.001633\n",
-      "[85]\tvalidation_0-error:0.000385\tvalidation_1-error:0.001545\n",
-      "[90]\tvalidation_0-error:0.000343\tvalidation_1-error:0.001352\n",
-      "[95]\tvalidation_0-error:0.00031\tvalidation_1-error:0.001229\n",
-      "[99]\tvalidation_0-error:0.00029\tvalidation_1-error:0.001124\n",
-      "[[56816    47]\n",
-      " [   17    81]]\n"
+      "[[55771  1092]\n",
+      " [    9    89]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7033,6 +7085,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9857688744913929\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7040,35 +7093,16 @@
       "Getting TRAIN DF for response 1 from index 0 to 392\n",
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.030941\tvalidation_1-error:0.018275\n",
-      "[5]\tvalidation_0-error:0.025284\tvalidation_1-error:0.011727\n",
-      "[10]\tvalidation_0-error:0.021712\tvalidation_1-error:0.009304\n",
-      "[15]\tvalidation_0-error:0.015616\tvalidation_1-error:0.00718\n",
-      "[20]\tvalidation_0-error:0.010048\tvalidation_1-error:0.006039\n",
-      "[25]\tvalidation_0-error:0.005966\tvalidation_1-error:0.005196\n",
-      "[30]\tvalidation_0-error:0.0045\tvalidation_1-error:0.004705\n",
-      "[35]\tvalidation_0-error:0.003229\tvalidation_1-error:0.004477\n",
-      "[40]\tvalidation_0-error:0.003056\tvalidation_1-error:0.00402\n",
-      "[45]\tvalidation_0-error:0.001618\tvalidation_1-error:0.003458\n",
-      "[50]\tvalidation_0-error:0.001468\tvalidation_1-error:0.003213\n",
-      "[55]\tvalidation_0-error:0.001224\tvalidation_1-error:0.002932\n",
-      "[60]\tvalidation_0-error:0.001029\tvalidation_1-error:0.002563\n",
-      "[65]\tvalidation_0-error:0.000879\tvalidation_1-error:0.002335\n",
-      "[70]\tvalidation_0-error:0.000721\tvalidation_1-error:0.002089\n",
-      "[75]\tvalidation_0-error:0.000635\tvalidation_1-error:0.001949\n",
-      "[80]\tvalidation_0-error:0.000534\tvalidation_1-error:0.001756\n",
-      "[85]\tvalidation_0-error:0.000448\tvalidation_1-error:0.001598\n",
-      "[90]\tvalidation_0-error:0.000393\tvalidation_1-error:0.00144\n",
-      "[95]\tvalidation_0-error:0.000339\tvalidation_1-error:0.001317\n",
-      "[99]\tvalidation_0-error:0.00033\tvalidation_1-error:0.001282\n",
-      "[[56805    58]\n",
-      " [   15    85]]\n"
+      "[[55700  1163]\n",
+      " [   13    87]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ0AAAERCAYAAACgrXoBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1wURxsH8N/Rm4CFYhfLIUURBMGugF2jxKixKxhNBCyJMagYULEkitiwYEexB30losYYKwoCajCIYkUxFEEp0o4y7x+EleMOPPQODnm++dwn3uwwO7u3t89N2V0eY4yBEEIIqQEKtV0BQggh9QcFHUIIITWGgg4hhJAaQ0GHEEJIjaGgQwghpMZQ0PkM0ATEz0NNfI50rHwe6vLnKHHQiY2NhYeHB+zt7dG5c2fY29vDw8MDT58+lVnlbt26hWHDhsHc3BxDhw6VWrmbN2+GsbExioqKpFZmZYKDg2FsbAxjY2M8ePBAbJ74+HguT2JiYrXKP378OFatWvXBfPb29liwYEG1yq5IVp8HAKSmpsLOzg7Dhg1Dfn6+yPKzZ8/C2NgYx48fF0rPzs5GQEAARo8eDVtbW3Tu3BmDBg3CypUrkZKSIpS37HMv/7KwsMCwYcOwa9culJSUSHWbJJWVlQUPDw+Eh4dLrczExESh/SUQCLBmzRqcOnWKyzN58mSMHz9eauusKRW3TR5J4/tWmW3btiEgIIB77+HhgT59+shkXbKgJEmmI0eOYMWKFbCysoK7uzsMDAzw8uVL7N+/H6NHj8auXbvQtWtXqVduzZo1yMvLg7+/P3R1daVW7ujRo9G9e3coKUm0+VKhoKCAs2fPomPHjiLLfv/9948ud9u2bbCysvpgvo0bN0JLS+uj1wPI7vMAAH19ffj4+MDV1RW//vorfv75Z27Z8+fPsWTJEgwfPhxjxozh0h8/foxZs2YhJycHEyZMgIWFBZSVlXH//n0EBgbizJkzOHToENq0aSO0rgMHDkBBofT3Vk5ODm7fvg1fX1/k5eXB3d1dqtslibi4OJw8eRJffPGF1MrU19dHUFAQt+2pqanYu3cvfHx8pLYOUjs2bNiAb7/9trar8dE+eNa9e/culi9fjq+//lroRAAAQ4YMwVdffYWFCxfijz/+gKKiolQrl5GRAUtLS/Tt21eq5TZr1gzNmjWTapkf0rVrV5w7dw7z588XWXbmzBmYmpri/v37Mlt/p06dPrkMWX0eZRwdHTFu3DgEBQWhT58+6NevH/Lz8zFnzhzo6elh+fLlXF6BQID58+ejpKQEp0+fhr6+PresR48ecHJygpOTE3x8fLBr1y6h9VhZWQn94Ojbty8SExNx6NChWgk6sqCiogJra+vargYhIj7YvbZr1y40aNAAP/74o8gybW1teHh4YPjw4cjKyuLSQ0NDMXr0aFhaWqJHjx5YunQp3r59yy3fvHkzBgwYgOvXr8PJyQmdOnWCvb099u3bB+B98/nVq1f4/fffYWxsjODgYK6rKiEhQage48ePx+TJk7n3cXFxcHZ2ho2NDbp06YIJEyYgLCxMaP0Vu9c+tc4fMmTIEDx//lwksNy9exfJyckYPHiwyN/8+eefmDhxIiwtLWFubo7BgwfjwIED3PKyfRQSEgJjY2OhegYEBMDW1hY9evRAcnKyUHN/zZo1MDY2Ftonf/75J4yNjcVuT2WfB1DaCpkzZw569eoFCwsLTJo0CZGRkSJ/GxgYiBEjRsDCwgKBgYGV7qdFixahbdu2WLx4Md68eYPVq1fj+fPn2LhxIzQ1Nbl8586dQ3x8PJYsWSIUcMo0btwY7u7uaNasmUTdZuJabh/aNqC0e2/NmjVwdHREp06dMGzYMBw7dkwoT1XHY3BwMKZMmQIAmD59Ojw8PETq8eDBAxgbG+Ps2bNcWmxsLIyNjbFixQouraioCNbW1ggICBDqgoqIiICDgwMAwNPTU+i7AgD79u2Dvb09OnXqBCcnJ6HjojLS+r4IBAKsW7cO/fr1g7m5OYYNG4aTJ09+cP0VZWZmwsvLCz179kSnTp3w5Zdf4sqVK0J5PnReKCgogI+PD1eXAQMGYNOmTR/sho+OjsaECRPQpUsXODo64vz58yJ5SkpKsGvXLgwcOBDm5uZwdHTE7t27hcZmPDw8MH78eAQHB6N///7o0qULpkyZwp0zyj5TANi+fTvs7e2F1hESEoIhQ4bA3NwcQ4YMQUhISPV2Yk1hVSgpKWGdO3dmc+fOrSqbEH9/f8bn85mnpye7dOkSCwwMZDY2Nmz48OEsNzeXMcbYpk2bWJcuXVifPn3YwYMH2bVr15ibmxvj8/ns+vXrrKCggEVGRrKePXsyZ2dnFhkZydLS0thvv/3G+Hw+e/78udA6v/76azZp0iTGGGPZ2dnM1taWffvtt+zSpUvs0qVLbMqUKczMzIy9ePGCWz+fz2eFhYVSq3Nlyur85MkTZmdnx9atWye0fMWKFczFxYUdO3aM8fl89vLlS8YYY5cuXWJ8Pp95eXmxa9eusQsXLjBnZ2fG5/NZZGQkY4yJ7KOyepqZmbEhQ4awy5cvs99++40xxlj//v3ZDz/8wBhjLD8/nw0ZMoTZ29uz3NxclpaWxuzs7JizszMrKSkR2YbKPo9Hjx4xS0tLNmLECHb69Gl27tw5NnHiRGZqaspu3LjBGGPs5cuXjM/nM3Nzc3bw4EF29uxZkc+von/++YeZmZkxJycnxufz2aFDh0TyuLm5MWtra+4zlETZ515QUMAKCwtZYWEhy87OZn/99ReztrZm/v7+XF5Jti0vL48NHz6cdevWjQUGBrLLly+zJUuWMD6fzzZv3swY+/DxmJaWxgIDAxmfz2d79+5lz549E1v3vn37Mk9PT+59QEAA4/P5bNiwYVzarVu3GJ/PZ/Hx8dx+P3bsGMvKymJnz55lfD6frV27lj148IAxxtikSZOYiYkJGzVqFAsNDWXnz59ngwcPZhYWFiw9Pb3S/SjN78vMmTOZhYUF2759O7t8+TL7+eefGZ/PZwcPHqx0/eW3jbHS43PUqFGsW7du7MCBA+zixYtszpw5rGPHjuzixYsSfQ6MMebp6cl69+7NgoOD2Y0bN9imTZuYsbEx27p1a6V1iYuLY+bm5mzixInswoUL7OjRo6xHjx7M1NSU+74xxpi3tzczMTFha9euZZcvX2br169nHTt2ZL/88guX56effmJdu3ZldnZ27OjRo+zs2bNs+PDhzMrKiiUlJXHfQz6fzxYuXMhiYmK4vzMxMWEODg7s5MmT7NKlS2zcuHGsY8eOLD4+vtK615Yqg056ejp3oEoiIyODmZubMw8PD6H0iIgIxufz2f79+xlj77/8ly9f5vLk5uYyMzMztnz5ci6t/ImSMSZR0Ll79y7j8/ksOjpaaDtWrVrFfQDlg46061xR+Tp7eXkxR0dHbllRURHr2bMnO3nypEjQ2bFjB5s/f75QWW/evGF8Pl/o5FhxH4mrp7h8MTExzNTUlK1bt465uroyW1tblpqaWul2iCtj7ty5zMbGhmVmZnJpAoGADRw4kI0aNYox9v4EUZ0fLowxtnHjRsbn87nPtaIvvviCOTk5iaQXFRVxAaXsVRZIy/aNuNe4ceNYdnZ2tbYtKCiI8fl8FhERIVQHDw8PZm5uztLT0yU6HsPDwxmfz2dhYWGV7o+ff/6Z9e/fn3vv7OzMvvzyS2ZsbMwFiHXr1jF7e3vGmOiJueJ7xkqDTlk9y1y+fJnx+XzuZF2RNL8vYWFhjM/ns5MnTwqV5enpyaytrVleXp7YOlTclrLvTsXPwdnZmQ0cOJAxJtl5YfDgwUKBnTHG9uzZI1K/8ubPn8969OghVNeywFD2XXn27BkzNjbmfoiU2bZtGzMxMWH//vsvY6w0ePD5fBYeHs7lSU5OZp06dWKrV6/m0vh8Plu/fj33vuzv4uLiuLTHjx8zPp/PAgMDK617bamye61sjKa4uFiiVtPdu3chEAgwYsQIofRu3bqhefPmuHXrllB6+ckH6urq0NXVRW5urkTrqkyHDh2gp6eH7777DsuWLcPFixehoqKCRYsWoUOHDrVa56FDh+LFixf4559/AAARERHIzs6Go6OjSN6ZM2di/fr1yM/Px4MHD3Du3DlubEIgEHxwXWXN8Mp06tQJs2bNwq5du3DhwgWsXLkSenp6Em1HmVu3bqFPnz7Q1tbm0pSVlTF8+HDcv38f2dnZXDqfz5e4XIFAgL/++gs8Hg93794VO+uvpKQEPB5PJH3kyJEwMzMTelX8DI8dO4YTJ07gxIkTCAoKwrJly5CUlITx48fj3bt3Em/brVu3YGBggG7dugmVP2rUKAgEAty5c6fax2Nl+vfvj1evXuHFixcQCASIjo7GN998AwUFBURERAAArly5ItLl8iHt2rVDo0aNuPetWrUCAKHu8vKk+X25efMmgNKZXkVFRdzL0dERWVlZiImJkWgbbt68iYYNG8LKykqknOfPn+PVq1cSfQ49e/bEsWPHMGvWLBw6dAgvX77E9OnTMWrUqErXfevWLfTu3RtqampcmrW1NZo2bcq9Dw8PB2MMjo6OQvUbMGAAiouLhWYtNm3aFLa2ttx7AwMDWFpaiuzXirS1tYUmKbVs2RJAabejvKlyIoGOjg40NTXx6tWrSvMUFBQgKysLenp63AY2adJEJF+TJk1EDuTyHxRQOsOLfeL8cw0NDRw+fBg7duzA+fPncejQIaioqGDgwIHw9vZGgwYNhPLXZJ2tra1hYGCAs2fPwtzcHL///jv69esndlbZ27dvsWzZMly4cAGMMbRu3ZobGJZkfeK2pyInJyds3boVOjo6sLGxkWgbysvMzBQbqMrWXT7oVCegrV69GvHx8di8eTOWLFmCBQsW4MSJE0L7vnnz5vj777/BGBMKPn5+ftyU65iYGKHJB2XMzMyEJhJYW1ujffv2mDhxIk6cOIFp06ZJtG2ZmZmVHjdleap7PFame/fuUFdXR1hYGIyMjFBUVIQ+ffrA1NQUt27dgpWVFR4+fIhFixZJVF4ZdXV1ofdls/oqGweT5velbAyosmOv4pT3yrx9+xZv376FmZlZpeU0b978g5/DTz/9hGbNmuF///sfli9fDsYYTExM4OnpWemkjIyMDDRs2FAkvfw4Y9l2jhw58oPbaWBgILK8cePGVZ6Dgco/x089n8rCB2ev9erVCxEREcjPzxc5gIDS6yd++uknBAQEQEdHBwCQlpYm8ss2NTUVFhYWn1TZspNLxZbXu3fvhAaCW7ZsCR8fHzDG8ODBA4SGhmL37t3Q0dERmYEn6zqXp6CggMGDB+PcuXOYO3cuLly4UOk1Nj/88AOePHmCvXv3okuXLlBRUUFeXp7IIPXHYozh559/RtOmTZGTk4Ply5dj3bp11SpDR0cHr1+/FklPTU0FUDo4/+bNm2qVWXZCcHV1xYABA1BYWIj58+fjl19+gZeXF5fPwcEBly5dQnh4OLp3786ll289lA96H2JqagoAePbsmcTbpqOjgydPnlSap+xkVJ3jsTKqqqqws7PDjRs3kJqaik6dOkFDQwN2dna4dOkSTE1N0aBBA5nPWJPm96VBgwZQU1PDwYMHxS5v0aKFxOW0bNkSfn5+YpcbGRkB+PDnoKysDGdnZzg7OyM9PR1XrlzB1q1bMXv2bFy/fh0qKioiZTds2BBpaWki6W/fvuVajWWt5b1794r9kSEuQJX3+vVrNG7cWII9UTd8cPaas7MzMjMzxZ6QMjIy4O/vD0NDQ/Ts2RMWFhZQUVERmTURGRmJpKSkT76Wp6xFkJSUxKW9fv2aO1EApbOa7OzskJqaCh6PBxMTE/zwww9o27at2F8Lsq5zRUOHDkViYiICAgLAGKt0+nF0dDQcHR3RrVs37mAvm41T/tdL2S+a6goKCsKNGzewYsUK/PjjjwgJCRE766YqNjY2uHr1qtCv26KiIoSGhsLU1BQaGhrVKi8xMRGenp6wtLSEq6srgNL99cUXX+DQoUP466+/uLzDhw9Hu3bt4OXlheTkZLHlxcXFSbzuO3fuAAB3XYsk22ZjY4OUlBSRGW2nT5+GkpISLCwsJDoeJb3UoF+/foiIiEBkZCTs7OwAAHZ2dnj8+DGCg4PRu3dvKCsri/1baV3OIM3vi62tLfLz81FYWIhOnTpxr4SEBGzYsAF5eXkSl5OcnAxdXV2hcqKiouDv7w8FBYUPfg75+fkYNGgQ14XduHFjfPnllxg/fjwyMzO5bteKevbsiatXrwotf/DgAV6+fMm9L2vJpaenC9UvNzcX69at436kAMCLFy+EupNTUlJw9+5d7vMGPv47Ly8+2NLp0qUL5s2bBz8/Pzx9+hQjR45EkyZN8PjxY+zfvx9v375FYGAglJSUoKuri5kzZ2LLli1QVlaGg4MDEhMTsWnTJhgZGWH06NGfVNnu3btDQ0MDa9aswdy5cyEQCLBjxw6hXw9WVlZgjOHbb7/FjBkzoKOjg2vXruHRo0eYMWOGSJmyrnNFXbp0QfPmzbF9+3aMGDFC7K8nAOjcuTN+//13mJmZwdDQELdv38auXbvA4/GExpC0tbXx8OFD3Lx5U6gvuCoJCQlYt24dnJyc0KtXLwCl0y29vLxgbW0t8a8qNzc3XL16FZMmTcLMmTOhqqqKAwcO4OXLl9ixY4dEZZQpa9EwxuDr6yt0kvTy8kJ0dDQWL17MXZOjrq4Of39/zJ49GyNGjMBXX32Frl27QkNDA0+fPkVISAju3r0LS0tL7pdumdu3bwt1Pzx58gRbtmyBvr4+nJycJN62L7/8EocOHYKbmxvc3d3RsmVLXLx4EcHBwfj222+hq6sr0fFYdvxevXoVenp6lY719O/fH15eXoiMjISbmxuA0jETZWVl3L59G2vXrq10/5atIzw8HCYmJjA3N6/W51NGmt+XPn36oFu3bnBzc8OsWbPQoUMH3L9/H1u2bIGlpaXE19I5OTkhKCgI06dPx8yZM9GiRQtERERg586dcHJygoaGxgc/BzU1NZiZmXFBysTEBImJidi7dy/s7OyExr3Kc3V1xYULFzB16lTMnDkTeXl52LRpE1RVVbk8fD4fo0aNws8//4yXL1/CwsICL168wMaNG9GkSROh8Vcej4fZs2dj3rx5UFJSgr+/P7S1tTF16lQuj7a2Nv7++29ERUXVyWuxJLok/9tvv4WZmRmCgoLg6+uLt2/fwtDQEHZ2dvjuu++4QSsAcHd3R5MmTXDw4EEEBwdDV1cXgwcPxvz584Wus/gYWlpa8Pf3x7p16zBv3jwYGhrC2dkZsbGxePHiBYDSpuqePXuwYcMGLF++HDk5OTAyMsKqVasqHRCUZZ3FGTp0KHbu3CkyGFvemjVrsGLFCq77rU2bNvD29kZoaCiio6O5fLNmzYKXlxdmz54t0bz8kpIS/PTTT9DU1BS6JsTHxwcjRozA0qVLsXXrVom2o0OHDjh06BDWr1+PpUuXAigNlvv376/2GJGvry9iYmKwfv16NG/eXGiZlpYWfv31V0yePBkeHh7YvXs3eDwejIyMcPLkSRw/fhyhoaE4efIk3r17hyZNmsDS0hLfffcd+vbtKzLhoPx1KkpKSmjcuDG6d++OOXPmcN20kmyburo6Dhw4gPXr12Pr1q3Izs6GkZERVqxYgbFjxwKQ7Hjs0KEDRo4ciaCgIDx58gQ7d+4Uu48MDAxgamqKx48fw9LSkqtDly5dcPv27SpvhaKlpYVvvvkGBw8exIMHD3DmzBmJP5uKpPV9UVBQQEBAADZt2oS9e/ciLS0N+vr6GD9+PBdUJaGhoYGDBw/Cz88PGzduRFZWFpo1awZ3d3d88803ACT7HHx8fLBp0yYcPHgQqamp0NXVhYODA77//vtK192yZUsEBQXhl19+gYeHBxo0aIBvvvlG5Lu4atUqGBkZITg4GFu3bkXDhg0xYMAAzJ07V+iHp56eHlxdXbF27Vrk5OSge/fu8PDwEAp6bm5u2LBhA9ftV9fwmDyONBFCSD3j4eGBGzdu4OrVq7VdFZmq252DhBBC6hQKOoQQQmoMda8RQgipMdTSIYQQUmMo6BBCCKkxNfcUMzlw9U4i+lhKdpUzIYR8Ct4Ayc817EL1nhhcl9WroANU70Agn7+yL3t+8afdaJZ8PtQUq3cnjUqJuSEtqYdBhxBCagQNXohVr4IOzdMjhNQYaumIVa+CDiGE1BiKOWJR0CGEEFlQpKgjTr0KOtS7RgipMdS9Jla9CjqEEFJjKOaIRUGHEEJkQYGijjj1K+jQ9DVCSE2hmCNW/Qo6hBBSU2hMRywKOoQQIgs0e02sehV0qHONEFJjKOaIVa+CDiGE1BjqXhOLgg4hhMgCzV4Tq14FHZq8RgipMRRzxKpXQYcQQmoMtXTEoqBDCCGyQEFHLAo6hBAiCxRzxKpnQYcGdQghNYRmr4lVz4IOIYTUEHpyqFi0WwghRBZ4PMlf1fD06VMYGxuLvI4fPw4AiIuLw+TJk9GlSxf069cPu3fvFvr7kpISbNq0Cb1794aFhQWcnZ2RkJAglEcaZVSmXgUdmjJNCKkxCjzJX9Xw8OFDaGlp4fr160KvESNG4M2bN5g2bRpat26N3377DXPnzsWmTZtw7Ngx7u/9/f1x+PBh+Pj44OjRo1BUVISLiwsKCgoAQCplVIW61wghRBZk9JM+Pj4e7dq1g56ensiyffv2QVlZGd7e3lBSUkK7du2QkJCAgIAAjB07FgKBAHv27MGCBQvQt29fAICfnx969eqFs2fPYtSoUTh27Ngnl1GVetXSIYSQGiOj7rWHDx+iXbt2YpdFRUXB2toaSkrv2xO2trZ4+fIlUlJSEBcXh9zcXNjZ2XHLtbS0YGpqiqioKKmVUZV61dKh7jVCSI2pRizJyspCVlaWSLq2tja0tbWF0uLj49G6dWt8/fXXePHiBdq0aYPZs2ejV69eSElJQfv27YXy6+vrAwCSkpKQmpoKADAwMBDJk5SUBABSKaMq9SroEEJIjanGWM3+/fuxZcsWkXQ3Nze4u7tz73Nzc5GYmIhGjRrhhx9+gKamJk6fPo0ZM2Zgz549yM/Ph4qKilAZZe8LCgqQl5cnlFY+j0AgAACplFEVCjqEECIL1eg2mzp1KpycnETSK7ZyNDQ0EB0dDWVlZe6kb25ujidPnmDXrl1QU1MTOfGXvdfQ0ICamhqXVj5oCAQCaGhoAIBUyqhKPQs61L9GCKkZvGq0dMR1o1VGU1NTJI3P5+PSpUto2bIl1/1Vpuy9oaEh2H9jDKmpqdDS0hLKU9alZmho+MllVIUmEhBCiAzweDyJX5K6c+cOLC0tERMTI5T+zz//oEOHDrCxsUF0dDSKioq4ZeHh4WjTpg309PTQsWNHaGlp4datW9zyd+/e4f79++jWrRsASKWMqlDQIYQQGZDF5DVzc3O0aNECS5cuRXR0NJ48eQIfHx/cuXMH3333HUaPHo28vDwsXrwYjx8/xqlTp7Bv3z7MmjULQOm4y6RJk+Dn54c///wTDx48wPz582FgYICBAwcCgFTKqHK/MFZ/5nRdiEjAQM+etV0NIkfYhUQAQH5xbi3XhMgLNcUPj0tIQuX7LhLnFay/K3HelJQU+Pr6IiwsDFlZWTAzM8P333/PtTLu3buHlStXIjY2Fnp6epg2bRqmTJnC/X1xcTH8/PwQHByMvLw8dO3aFV5eXmjZsiWXRxplVIaCDqnXKOiQiqQVdFR/sJQ4b4HvHamssy6oZxMJCCGkZigo0OiFOPUq6NSbJh0hpNbRkw3Eq1dBhxBCakp1ZqXVJxR0CCFEBijoiEdBhxBCZIBHz6sWq14FnfozT48QUtuopSNevQo6hBBSUxSr+XC2+oKCDiGEyAC1dMSrZ0GH+tcIITWDgo549SzoEEJIzaCYIx4FHUIIkQFq6YhXr4IOzV4jhNQUCjri1augQwghNYXuvSYeBR1CCJEBauiIV69CcV3tXWvUQBfsQqLI6/jSHVyecf2+QEzAn8g78xjx+67BbeR0oTJ0tXQQMP9XvDoShfTf/sGpZbthZNhKJM/eH9cj7bd7eBP8D3Z+vxYNNLSE8mx28xFbF7M2xrLbAURqMjIyYGFqKfL6Yd4CAEB+fj78fDdisMMQ9OzWGzOmz0Tc/Qe1XOu6SRZPDv0cUEunDrBoZwoAGOgxAVm577j09Ky3AICxfUfg0KIt8D0RgLlb/4KDZS9sdluBrNxsBF44AQA4vNgflu3N8GOAD95kZ2D51AW4+OsRdJrpiJz80mfJ/PZzANo2bYVvN3pAQ1Uda7/xhGFDPYxYOo1bZ2ejjjh6+TT8gncJ1fHJvwmy3AVESh4+iAcAbNu5FVpamly6jo4OAGDtmnU4ExKKeT/MRctWLRG4NxDfOM/Eb6eOw8DQoFbqXFfVt2AiKQo6dUBnIxMkv0nFheirYpf/+s0SbA0JxMKdPgCAS3dvoI1BSwyw6oPACyegp9sYg236wXndDzjw528AgPjEp4jfdw2Dbfrjt2tn0M+iB+wte8LWfQRuPSh9oFRiWhIu/noUlu3NcefxPwCATkYdcejSKUTE3a6BLSfS9ij+ERo3bowePbuLLCspKcGZkFBMnjYJX08YBwDoYmmBfj3tcS70PKY6TxH5G1I5BQo6YtWvoFNHp691bmuCmGdxYpd15XdGa4MWCDgTJJQ+aY079281ZVUAENtKatRAFwDgaNULKW9fcwEHKA1emTlZGGzTD3ce/4OWes3QsIEuYp6KrwuRf/EPH6GDcQexy0pKSlBYWAgtzfddqurq6lBRUUFmZmZNVfGzoUC3wRFLroLOmzdvcPToUURFRSEpKQkFBQXQ0NCAoaEhunXrhjFjxkBXV7e2q1njOrc1Qb6gAGEbTsGqgznSMt9i06k9WHtsGzobmQAAlBQVcdn3BLqbWCHlbRpWH9mCbSGBAICXr/9FyM0LWDLBHf88f4A32Rnw+9YbmTlZCL31FwCA36ItHv/7XGi9jDE8T04Ev0Vbrh4AMH3QOAR77URDLR1cuRcO9y1LEZ/4tIb2BvkUj+LjoaKqiikTpiLu/gPoNtTFhEnjMc15KpSUlPDV2GPZ9skAACAASURBVNE4HHQYXW26olWrltgVsBv5+flwHOhQ21Wvc+gu0+LJTdC5d+8eZsyYAU1NTVhbW8PExAQqKioQCARITU3F4cOHsWfPHuzduxcdO3as7erWGB6PB9NWfOTk52JBwAq8SP0XQ7vZY7WzB9RUVFFQKEBRcRFOL9+LrSH7sezAejj1HIKtc1YhPestjl0JAQDM3eqFC78cwoM9VwAAeQX5GL50Kl6lJQEAtDW0kJ2bI7L+7Lx30NZoAOB90NFU08DXK12hr9sY3lO+xxXfE+g00xFpmW9qYpeQj1RSUoKnT55BXV0N3/84H4ZNm+L61evY5LcZBQUF+Hb2LHzrOgv3Yu5h4rhJAEqPvxWrl8PUzLSWa1/30JiOeHITdFauXAl7e3usXLlS7Pz2kpISLFmyBD4+Pjh48GAt1LB28Hg8DF86FS9S/8WT/1oil/++AS11Dfw0djZWH9kCJUUlBIQGYfXhLQBKu8WMDFvCa/J8HLsSgmaNDXFz0/+QmpGO0ctmIis3G98MnYCTXrswcNFERMTdBo/HQ0lJidj1l6Uf+usUbj/6B+ejLnPLw+NuI37fVXw7fDJ8gjbKfH+Qj8cYw6atG9G0qSFatS6dudjN1ga5ubnYu3sfpk6fgikTpqFQIIDPmhXQ19fHxQsX4e25DFqamujv0L+Wt6BuoaAjntxMmY6Li8OMGTMqvaBKQUEBM2bMQGxs7Eevoy6O6JSUlODS3RtcwClzLvIyNNU1hN6Xd+H2NfBbtIWykjKmDxqLhlo6GLxoEoKvh+LP29cwzuc7xCbE49cZiwEAmTnZaKChiYq01DSRmZMNAEhISRQKOEBp113ci8ewaEu/hOWdoqIibO26cQGnTM9ePZCfl48D+w/iRcILrNuwDiO+GA5bu25YvHQRHAbYY83KX2up1nUXjyf5qz6Rm6Cjp6eHhw8fVpknJiam3o3pNG1sgG+GTkQTnUZC6eqqagCA5ymJAAAVJWWh5cqKSuChtJXSUq8ZXr7+F/+mJwvlCYuNhGlrPgDg0atnaNtU+GTE4/HQxrAFHiY+AQAM7WaPod3sReqorqKGtCzqWpN3qampOHHsN7x5I/xZ5RcUAAAUFRSgqKgIM3PhHxCWVpZITk5Gbk5ujdX1c0DX6YgnN0Fn+vTpWLJkCXx9fXHt2jU8evQICQkJePToEcLCwuDn54dly5Zh6tSptV3VGqWqrIKA+b9gksOXQumjew/Fw5dPcPrmH8gryMeYvsOFlg+zdUBk/N8oLilG/KunaKXfHM2bNBXKY9vREs+SXwAALt65jmaNDWFj3IVb3r9LD+hoauPinesASq8H2vX9Wi7gAYB5m47o0NwIV2LCpbrdRPoEgkKs8PbBmZBQofSLf1xE6zat0bpNaxQXF+NezD2h5fdi/kHDRg2hrqFek9Wt8xQUFCR+1SdyM6YzceJEqKurY8eOHdi5c6dQ9GeMwcjICEuWLMGYMWM+eh11ccb08+SXOPTXKayY9iNKGEPci0cY02c4RvcailHeLsjOfYdVhzfDe/L3yMrJxpWYcIzr9wX6drbD0CWl11XsOXcU85xm4OyqA1h+0A9Zue8wxfEr9DSzwShvFwDAX3fCEB53G8FeO/HjTh8oKyph3cyl+D38T9x+VHoS8j0RgHH9RuDUst1Yf2InDBo2gc+0hYh+dA9HL5+utX1EJNOiRXMMGTYY/pu2QkFBAUZtjXDh/AX8eeEiNmxej569e8K4ozF+nP8T3ObOhp6eHq5cvoozIWfgseSneveL/FPR7hKPx5j8nYrT09ORkpKCvLw8qKmpoWnTpmjUqNGH//ADzoQ9w3Dv3lKoYc1SU1HD0klzMb7fSDRtrI+4F4+x/OAGnAo7x+VxH+UM91HT0VKvKeITn8Er0FdoeSv95lg3aykGWPUGj8fD30/u4+f9vrgSc5PLo6fbGJtdV2BoN3sUFArwvxt/YP52b2SXu76nu2lXrHL2gFV7cwiKCnHqxnks3LkSb7MzamZnSBm7UNo9mV9cP7qO8vPzEbBtJ86GnkPa6zQYtTXCrNkz4eBY2m2akZEBv3UbcOXSFeTnF6BtOyNMd5mGAYMG1G7Fa5CaosaHM0mg44YhEud9MO+sVNZZF8hl0JGVuhp0iOzUt6BDPkxaQcdk41CJ88bNDf1wJjGePXuGL7/8EosXL+Z6gRITE7FixQpERkZCTU0NTk5OmD9/PpSU3ndsBQUFYc+ePXj9+jVMTEywZMkSdO7cmVsujTIqU786E+tPfCWE1DJZTyQoLCzEggULkJv7/geTQCCAi4sLeDwejhw5ghUrVuDEiRPYvHkzlyc4OBhr167FvHnzEBwcDCMjI8yYMQPp6elSK6Mq9SvoEEJIDZH1lOnNmzdDU1P4Mofz58/j1atX+OWXX8Dn8+Hg4IAFCxYgMDAQ+fn5AIAdO3ZgwoQJGDFiBNq3b4+VK1dCS0sLR44ckVoZVaGgQwghMiDL2WuRkZE4evQofvnlF6H0qKgomJiYcHcNBwBbW1vk5uYiNjYWaWlpeP78OWxtbbnlioqK6Nq1K6KioqRWRlXkZvZaTaDONUJITalOt1lWVhaysrJE0rW1taGtrS2Sd+HChfD09ETTpsKXQaSkpMDQ0FAoTV9fHwCQnJwMNbXSyx3E5bl3757UyqiK3ASdiRMnSpw3KCjow5kIIaQWVafbbP/+/diyZYtIupubG9zd3YXSvL290aVLF4wYMUIkf35+vkiXm4qKCgCgoKAAeXl5Qmnl8wgEAqmVURW5CTqtWrX6cCZCCKkjqtPSmTp1KpycnETSK7ZyTp06haioKISEhIgtR01NTeTEX/ZeQ0ODa6WIy6OhoSG1MqoiN0Fn9erVMl8HTV4jhNSYagQdcd1o4vz2229IT09Hv379hNKXL1+Offv2wcbGBnFxws+7Sk1NBVDaHdasWTMuzdjYWCiPgYEBl+9Ty6iK3ASditLS0vD06VMUFxdzaQKBAH///TfmzJlTizUjhJAPk8VD3NatW8fNICszcOBAuLm5Yfjw4bh79y6Cg4ORlZXFBbGIiAhoamrC1NQUKioqMDIywq1bt9C7d+k1i8XFxYiOjsa4caVPi7WxsfnkMqoil0Hn1KlTWLp0KQoLC8Hj8cAY45qqzZs3p6BDCJF7srhtUGUtiUaNGqF58+Zo0qQJNmzYgPnz5+PHH3/Ev//+C19fX0yfPp0bg3F2doaPjw+MjIzQuXNn7N69Gzk5OdzFpY6Ojp9cRlXkMugEBARg+PDhmDVrFsaOHYu9e/ciJSUFy5YtExlUqw5G89cIITWkNu5Vp6qqil27dmH58uUYO3YstLW1MW7cOLi6unJ5xo4di3fv3mHjxo3IyMiAmZkZ9uzZw91qTBplVEUub4PTqVMnnDp1Cu3atcPkyZMxc+ZM9O7dG3/88Qe2b9+O4ODgjyr39LUnGLm8r5RrS+oyug0OqUhat8Gx2fOVxHkjnU9IZZ11gVxeHKqiosI141q3bs09Z8fc3BwJCQm1WTVCCJEIPcRNPLkMOubm5tztFDp06ICwsDAAwKNHj6CsrFzVnxJCiFygh7iJJ5djOu7u7pgxYwYaNWoEJycn+Pv7Y9CgQUhNTcWwYcM+vmC560gkhHyu6tvD2SQll0HH2toa58+fh0AgQKNGjXDo0CEcOXIETZs2xeTJk2u7eoQQ8kH1rQUjKbkMOoDw1MD27dvD09OzFmtDCCHVQzFHPLkMOlOmTKlyeWBg4EeVS71rhJCaQi0d8eQy6FS8AKqoqAgJCQl4+vTpBwMSIYTIAwo64sll0Fm7dq3YdD8/P7G3/yaEEHlDQUe8OjW94quvvsKZM2c++u/l7zJYQsjnSkGBJ/GrPpHLlk5lHj9+DDm8gQIhhIiilo5Ychl0Fi5cKJL27t073Lx5E4MHD66FGhFCSPVQ95p4chl0kpKShN7zeDwoKyvDxcUF06dP/4SSqZVECKkZ9azXTGJyGXQOHDhQ6bLXr1+LPEqVEELkDbV0xJPLiQQmJiZ48+aNSPq///6LgQMH1kKNCCGkehQVFCR+1Sdy09IJDQ3FtWvXAACMMfj4+EBVVVUoT2JiokTP4K4MzUEghNSU+hVKJCc3QadLly4ICgriZqclJiZCSel99Xg8HjQ1NbF69eraqiIhhEhMgbrXxJKboNOsWTMEBQUBACZPngx/f3/u+dyEEFLX0JiOeHLZAjxw4AAiIyNx6dIlLs3T0xNXrlypxVoRQojkFHg8iV/1iVwGnePHj2Pu3Ll49eoVlyYQCODq6orQ0NCPLvfIhYfo2f5HWLacBr7BMDTXtYGuRhsoK9JsOEKIdNFD3MSTm+618nbv3g0vLy+MGTOGS/v111/RtWtXbNu2DUOHDv2ocvtatkDgH/fQUNMIzXS7gsd7H3MLi3ORU/AaOYLXyC14jRxBGnIKXiNX8BoFRXS/N0JI9SjVs2AiKbkMOklJSbCzsxNJ79GjB1atWvXR5c7+ygKuO0qfPKrAU4K6SiNoquhBU0UPGqql/9dVb4WmOpZQ4Clyf1dUXFAuGL1GTkEq9z6/KAt00SkhpKL61oKRlFwGnebNmyM8PBwtW7YUSo+Ojoa+vr5U1lHCikqDR0GqyDIeFKCu0rg0IKnqQUOlCTRV9dBArSkMtDtBQeH9bisuEXAtorLWUVlAyit8CwpIhNRP9W2sRlJyGXQmTpyIVatW4cWLF7CwsAAA3Lt3D4GBgXB3d5f5+hlKkCsoDSSv31VcyoO6csP/glFpUCoNTgbQa2AGRQVlLmdxSSFyBenIEaSWayWVlpsneAuGEplvCyGkdlDIEU9ug05+fj727duHnTt3AgD09fWxYMECDBo0qJZrx5BX+AZ5hW8APKywjAc1ZZ1yLaT3QamJljGUFN5f7FrCipErSENuQZpQMMopeI3cwnQwVlyjW0UIkS5q6YjHY3L+rIC3b99CWVkZsbGxOHz4MC5evIh79+59dHm8AS2kWLvqUVXS/i8g6XNjSJqqTaChogdlRXUuXwkrRp7gTYVxpNf/tb7SUcKKam0bPjfsQiIAIL84t5ZrQuSFmuLH3/WkvEnnXSXOe3CQv1TWWRfIZUunTHZ2NkJCQnDkyBE8e/YMKioqcHJyqu1qfbSCoiwUFGXhTe4TkWUqilpiuuz0oKtrAxWl918CxkqQV5jxPhhVCEwlrLAmN4kQUglq6Ygnl0Hn3r17OHLkCEJDQ5GXlwcej4cpU6Zg1qxZaNSoUW1XTyYExe8gyH2Ht7nPRJYpK2qK6bJrAkMdC6gqNRDKmyd4+9+khrLW0fvJDcUlBTW1OYTUe7IKOSkpKfjll18QFhYGgUAAGxsb/Pjjj+jQoQMAIC4uDqtWrcK9e/egq6uLyZMnw8XFhfv7kpISbNmyBcePH0dWVha6du0KLy8vtG7dmssjjTIqIzdBJz8/H7///jsOHz6M2NhYaGpqYuDAgRg6dChcXV0xZsyYzzbgfEhhcQ4y8nKQkfdcZJmSgjrXRVcajPShqaoH/QadoNZI+DZC+YVZ3LhRxRZSUUleDW0NIfWDLFo6jDF888030NLSwu7du6Guro6NGzdi2rRp+OOPP1BQUIBp06ZhwIAB8Pb2RkxMDLy9vdGgQQOMHTsWAODv74/Dhw9jzZo1MDAwgK+vL1xcXHDmzBmoqqrizZs3n1xGVeQm6PTp0wclJSXo06cPZs2ahX79+kFFRQUA6BHVVSgqyUNm3ktk5r0UWaaooCoy7btsUkNLFeHroAqKskUuii0LToXFOTW1OYR8NmQRdNLS0tCuXTvMmTMHRkZGAIDZs2dj5MiRiI+PR0REBJSVleHt7Q0lJSW0a9cOCQkJCAgIwNixYyEQCLBnzx4sWLAAffv2BQD4+fmhV69eOHv2LEaNGoVjx459chlVkZugU1RUhAYNGkBNTQ2FhYUoKirigg75OMUlBcjKT0RWfqLIMgWeMjRVmghPalDRQyPN9miuay10twZBUW6FLrv/LpAteA1BscicckIIZHNxqJ6eHvz8/Lj3aWlp2L17N/T19cHn8+Hv7w9ra2uhO/Tb2tpi27ZtSElJQXJyMnJzc4UuvtfS0oKpqSmioqIwatQoREVFfXIZVZGboBMWFoZz587hxIkTCA4OhpqaGvr27YuhQ4fSlb0yUMIKkV2QhOyCJJFlCjwlaKg0FprUoKGqB1311mimY1Xh9kF5/wWhNJEuu4KizJrcJELkimI1zltZWVnIyhK93Za2tnald9v38PDAyZMnoaKigm3btkFTUxMpKSlo3769UL6yC+qTkpKQmlp6MbyBgYFInqSk0nOBNMqoitwEHXV1dTg5OcHJyQnPnz/HiRMn8L///Q/nz58Hj8fD7t27MWPGDLRr1662q/rZK2FFeFeQgncFKUC28DIeTxEayo1FZtppqzeHoY6F8O2DSgq465BKg1Eq12WXX5gJulsD+ZxVp3tt//792LJli0i6m5tbpRfEu7i4YOLEiTh06BBcXV0RFBSE/Px8kR6isvcFBQXIy8sTSiufRyAQAIBUyqiK3ASd8tq0aYMFCxbg+++/x+XLlxEcHIyQkBCcOnUKdnZ22Lt3b21Xsd5irLg0eAgqu31QwwrTvvWhpWoIfbF3a0gTO6mh9MJbCkikbqtO0Jk6darYy0GqeqZY2Wy1lStX4u+//8aBAwegpqYmcuIve6+hoQE1NTUurXzQEAgE3FOZpVFGVeQy6JRRUFCAvb097O3t8ebNG5w8eRLBwcG1XS1SidLbB6UjV5COtHcPKiwtvX2QRrlrkDRVSmfd6TXoCEWF9wdvSUkRcgvThSc0/BeU8gTpdPsgUidUZ1igqm608lJTUxEREYHhw4dz5SsoKKB9+/ZISUmBoaEh1/1V/m8AwNDQkJuUlZqaCi0tLaE8ZV1q0iijKnIddMpr1KgRXFxchOaKk7rk/e2D0sXdPkhJW2RSg4aqHhprdoCSovDtg8TdraEsINHdGoi8kMXDypKSkrBgwQI0bdoU1tbWAIDCwkLcv38fffv2hYGBAYKCglBUVMRNBAgPD0ebNm2gp6cHHR0daGlp4datW2jbti0A4N27d7h//z4mTJgAALCxsfnkMqpSZ4IO+Zwx5BdlIr8oE+k5j0SWqippC10Uq/Hf9UgNGxoJ3T6o9G4Nb/979ERahVsIpdHdGkiNksUEqE6dOsHW1hY///wzli9fDm1tbWzfvh0ZGRmYNm0aNDQ0sGvXLixevBgzZ87EP//8g3379sHLywtA6bjLpEmT4OfnhyZNmqBFixbw9fWFgYEBBg4cCAAYPXr0J5dR5X6R93uvSVtt3nuNSJ+KolaFLruyZyM1gYqSllDePMFbkRZS1PYjaK6nRfdeIxxp3Xvth+sLJc7r2+tXifNmZmZi3bp1uHTpErKzs2FtbY2FCxfC2NgYQOkdXVauXInY2Fjo6elh2rRpmDJlCvf3xcXF8PPzQ3BwMPLy8ri7CZR/lIw0yqhMvQs6pP7IzhUgKS2n9JWeg39fv+P+nfmudGBUgQfsWOQIw8b0yHIiXQvCfpI477qev8iwJvKFutfIZ6uBhgoatFIBv1VDkWU5eYVISs9BfkER9BtK55ctIeUp0BN1xKp3QYe6UQgAKKoALZqqQE1RFwAdF+Q9aXWv0UXt4tW7oEMIITWBHm0gHgUdQgiRAQWeLCZN130UdAghRAaopSMeBR1CCJEBnkwuD637KOgQQogMUEtHPAo6hBAiAzR7TTwKOoQQIgM8uk5HLAo6hBAiA4oKNKYjDgUdQgiRAQWaSCAWBR1CCJEBGtMRj4IOIYTIAAUd8SjoEEKIDNANP8WjoEMIITJALR3xKOgQQogMKNK918SioEMIITJAN/wUj4IOIYTIAHWviUdBhxBCZIDuSCAeBR1CCJEBuuGneBR0CCFEBmgigXgUdAghRAZ4FHTEoqBDCCEyQGM64lHQIYQQGaAxHfEo6BBCiAzQlGnxKOgQQogM0L3XxKOgQwghMqCgoFjbVZBLNL2CEEJkQAE8iV/V8e7dO6xatQr29vawtLTEl19+iYsXL3LLExMTMWvWLFhZWaFHjx5Yu3YtioqKhMoICgqCg4MDOnfujHHjxiEmJkZouTTKqHy/EEIIkToejyfxqzoWLVqEy5cvw8fHB6dOncLAgQPh5uaGmzdvQiAQwMXFBTweD0eOHMGKFStw4sQJbN68mfv74OBgrF27FvPmzUNwcDCMjIwwY8YMpKenA4BUyqhyvzDGWLW2uI7LL86t7SoQOaKmqAGAjgvyXtkx8amCHu2VOO/EDtMlyvf69Wv06tULO3bsQL9+/bj0qVOnokmTJujXrx8WLVqEsLAw6OjoAACOHz+OVatW4ebNm1BTU8OgQYPg4OCAhQsXAgCKi4sxYMAAjB49Gq6urggJCfnkMqpCLR1CCJEBWbR01NXVsXPnTlhbW4usKzMzE1FRUTAxMeGCBQDY2toiNzcXsbGxSEtLw/Pnz2Fra8stV1RURNeuXREVFQUAUimjKjSRgBBCZKA6YzVZWVnIysoSSdfW1oa2tjb3XktLC3369BHKc/fuXYSHh8PT0xPXr1+HoaGh0HJ9fX0AQHJyMtTU1ABAbJ579+4BAFJSUj65jKpQ0CGEEBlQ4Ek+e23//v3YsmWLSLqbmxvc3d0r/bsnT57Azc0NFhYWGDduHP78809oamoK5VFRUQEAFBQUIC8vTyitfB6BQAAAyM/P/+QyqkJBhxBCZKA63WZTp06Fk5OTSHr5Vk5FkZGRcHNzQ7NmzbBjxw4oKytDTU1N5MRf9l5DQ4NrpYjLo6FROpYljTKqQmM6hBAiA7xq/KetrY0WLVqIvCoLOqdPn8b06dNhZmaGAwcOQFdXF0Bpl1dqaqpQ3rL3hoaGaNasmVBa+TwGBgZSK6MqFHQIIUQGZDVlOiQkBAsXLsSQIUOwY8cOaGlpcctsbGwQFxcnND4UEREBTU1NmJqaolGjRjAyMsKtW7e45cXFxYiOjka3bt2kVkZVFL29vb2rtcV1XBErrO0qEDmipKAMgI4L8l7ZMfGpHmbEStzSMWloLlGZycnJcHFxQdeuXeHt7Y2CggLk5uYiNzcXhYWFMDY2xunTpxEeHg5jY2PExMTAx8cHU6ZMQY8ePQCUjr1s3rwZBgYGUFZWhq+vL+Lj47Fq1Sqoq6ujdevWn1xGVWhMhxBCZKA6Ewkk9ccffyAvLw/h4eHo3bu30DIrKyscPnwYu3btwvLlyzF27Fhoa2tj3LhxQtfOjB07Fu/evcPGjRuRkZEBMzMz7NmzB40aNQIAqKqqfnIZVaGLQ0m9RheHkoqkdXHo6YQTEuf9ovVXUllnXUAtHUIIkQF6iJt4FHQIIUQG6CFu4lHQIYQQGaCWjngUdAghRAboyaHiUdAhhBAZkMXstc8BBR1CCJEBely1eBR0CCFEBqh7TTwKOoQQIgM0kUA8uvdaPXD5r8vobt1TKC32n1hYmFqKvHx/XV9LtSQ1obi4GHt378PwQV/ArmsPTBw3GRHh7++hRceF9Mjq3mt1HbV0PnN379zF4p88UfHGE/EPH0FdXR0Be7YLpevp6dVk9UgN27dnP/w3bcVst+9g3skMp07+D7NnuuLgkQMwMe1Ix4UUKdJEArEo6HymBAIBgg4cgv+mrVBXV0dJSYnQ8kfxj9C+Q3t0tuhcSzUktSHkf79jyLDBmDHLBQBgY2uDO9F3cTL4FExMPei4kCLqXhOPutc+U9evhmH3zj2Yv2Aexk/8WmR5fPwj8I071ELNSG0SCATQLHcrfEVFRWg10EJWZiYAOi6kibrXxKOg85ky62SG0D/OYOLkCWIP6sfxj5CclIyxTuPQtbMNhg/6AqdPna6FmpKaNG78WJw5fQYRNyOQnZ2NoAOH8OTxEwweMggAHRfSVJ2HuNUn1L32mTIw0K90WWpqKt6+zcCLhJeYM98d2toNcDb0HJYu9gKPx8OIkSNqsKakJo39egwiIyIx0+VbLs1tjiv62fej40LK6lsLRlJyE3T69u0r8Yd0+fJl2VbmM9egQQNsDfAH37gDN0Bs18MOr1NfY/vWADq5fKYYY/juG1c8ffIUS35eBKO2bRFxMwLbt+5AA+0GGOn0BR0XUqRAHUliyU3QWbhwIRYvXoy2bdvCwcGhtqvzWVNXV0fPXj1E0nv27omw6zeQm5MLDU3pPFOEyI87t+/izu07WLv+VwwcPAAAYNPNGkXFRfDz3YAvRo6g40KKFHgUdMSRm6AzbNgwqKqqYv78+Vi9ejU6duxY21X6bD1/noBb4bcw6suRUFFR4dLz8/OhpqYGdY2qHzdL6qaU5GQAQGeLTkLpllaW2LtrHxITE3H3zt90XEgJda+JJ1eh2NHREcOGDYOfn19tV+WzlpqSipXLV+Ha1etcGmMMF//8C5ZdLenL8plq3aY1AODOnbtC6fdi7kFJSQkvXybScSFFNJFAPLlp6ZTx9PREYmJibVfjs9bV2gqWVpbwWbYSWZlZ0NNrghPHfsOjh4+w7+Ce2q4ekRFTM1P07tsbq5avRlZmFozaGiHqVhT27tqHCZPGo1//vnRcSFF9CyaS4rGKl6p/5vKLc2u7CjVu25bt2L83EOHRN7i0zIxMbNqwGVevXENmRiZMTDti7vw5sLK2qsWa1jw1xdIxivpyXOTn52PLRn+cO3seWZlZaNW6FcZ+PQZjxn0FHo9HxwXeHxOfKirtxocz/ce6iehY2ueKgg6p1+pb0CEfJq2gE512U+K8XZt0l8o66wK5614jhJDPAc1eE4+CDiGEyACN6YhHQYcQQmSAZvuJR0GHEEJkgFo64slN0Jk4caLEeYOCgmRYE0II+XQUdMSTm5GuVq1aSfwihBB5p8BTkPj1sXbs2IHx48cLpSUmJmLWrFmwsrJCjx49sHbtWhQVFQnlCQoKgoODAzp37oxx48YhSwzvKQAADn9JREFUJiZG6mVURm5aOqtXr67tKhBCiNTIekwnKCgIfn5+sLS05NIEAgFcXFxgZGSEI0eO4OXLl1i8eDGUlJQwf/58AEBwcDDWrl2LFStWwMTEBLt27cKMGTNw9uxZNG7cWCplVEVur9NJS0vD06dPUVxczKUJBAL8/fffmDNnzkeXS9djkPLoOh1SkbSu04nL+FvivCa6FhLnTUlJgZeXFyIiImBoaAhdXV0cPnwYABASEoJFixYhLCwMOjo6AIDjx49j1apVuHnzJtTU1DBo0CA4ODhg4cKFAIDi4mIMGDAAo0ePhqurq1TKqIrctHTKO3XqFJYuXYrCwkLweDwwxrhfDc2bN/+koEMIITVBVmM6sbGx0NTUxOnTp+Hv74+EhARuWVRUFExMTLhgAQC2trbIzc1FbGwsWrdujefPn8PW1pZbrqioiK5duyIqKkpqZVRFLoNOQEAAhg8fjlmzZmHs2LHYu3cvUlJSsGzZMri7u9d29Qgh5IOq072WlZWFrKwskXRtbW1oa2sLpdnb28Pe3l5sOSkpKTA0NBRK09cvfaBjcnIy1NTUAEBsnnv37kmtjKrIZdB5+fIlNm/ejDZt2sDY2Bhv3ryBvb09ioqKsH37dowcObK2q0gIIVWqTktn//792LJli0i6m5tbtX5o5+fnQ1NTUyit7DEVBQUFyMvLE0orn0cgEEitjKrIZdBRUVHhNqh169Z4+PAhevfuDXNzc6GmJCGEyKvqzEqbOnUqnJycRNIrtnI+RE1NTeTEX/ZeQ0ODa6WIy6OhoSG1MqoiN1OmyzM3N8eRI0cAAB06dEBYWBgA4NGjR1BWVq7NqhFCiIR4Er+0tbXRokULkVd1g46hoSFSU1OF0sreGxoaolmzZkJp5fMYGBhIrYyqyGXQcXd3R1BQEHbv3o0RI0YgNjYWgwYNwrx58+Do6Fjb1SOEkA/i8XgSv6TFxsYGcXFxQuNDERER0NTUhKmpKRo1agQjIyPcunWLW15cXIzo6Gh069ZNamVURdHb29tbCtsqVc2aNYOTkxPatGkDQ0ND9O/fH9nZ2XBwcMCcOXOgqKj40WUXsUIp1pTUdUoKpS1nOi5ImbJj4lNlCNIlfnJoQ9UmH7WOP//8E5mZmfjqq68AlA5HnD59GuHh4TA2NkZMTAx8fHwwZcoU9OhR+sweFRUVbN68GQYGBlBWVoavry/i4+OxatUqqKurS6WMqsjtdTqyQtdjkPLoOh1SkbSu03mWHS9xXqMG/I9ah4eHBxISErjrdAAgISEBy5cvR2RkJLS1tTF69GjMnTsXCgrvO7b27NmD/fv3IyMjA2ZmZliyZAnMzMykWkZl5DLoTJkypcrlgYGBH102nVxIeRR0SEXSCjrP3z2SOG8brQ5SWWddIJez1yoORhUVFSEhIQFPnz79YEAihBB5oCCfQ+a1Ti6Dztq1a8Wm+/n5ib2AihBC5A09T0e8OhWKv/rqK5w5c6a2q0EIIR8k6SSC+vYIBLls6VTm8ePHkMMhKEIIEUEtHfHkMuiU3bm0vHfv3uHmzZsYPHhwLdSIEEKqp761YCQll0EnKSlJ6D2Px4OysjJcXFwwffr0WqoVIYRIjoKOeHI5Zboqr1+/hp6e3kf/PU2NJeXRlGlSkbSmTCfnvZQ4r6F6S6mssy6Qy4kEJiYmePPmjUj6v//+i4EDB9ZCjQghpLokv/dafSI33WuhoaG4du0aAIAxBh8fH6iqqgrlSUxMlOgupoQQUtvqVyiRnNwEnS5duiAoKIibnZaYmAglpffV4/F40NTUxOrVq2urioQQUg0UdsSRyzGdyZMnw9/fv9q39ZYE9d2T8mhMh1QkrTGd1Px/Jc6rr9ZMKuusC+RyTOfAgQOIjIzEpUuXuDRPT09cuXKlFmtFCCGSo4tDxZPLoHP8+HHMnTsXr1694tIEAgFcXV0RGhpaizUjhBDJUNARTy671wYPHgwXFxeMGTNGKP3o0aM4ePAgQkJCPrps6kYh5VH3GqlIWt1rafnJEudtomYolXXWBXLZ0klKSoKdnZ1Ieo8ePfDixYtaqBEhhFRPbTw5tC6Qy6DTvHlzhIeHi6RHR0dDX1+/FmpECCFEGuRmynR5EydO/H97dx8SVdbAcfw71UzmWGqZ0kJZTZgFZQsl/VEaBrbrrlB/CL1R9kIKZW9LJVgti9UWVFpttLustUhlmRhlr1T0QkFF9I+oIVFpUKll6zM9WtM0Pn+E84xvT/PYNM3o7wMDej333OPlcH4z5547l23btlFdXU1MTAwApaWl5Ofnk5GR8ZVbJyLyaT3tWo27fPKaDkBeXh5///03dXV1AISHh5OWlsaMGTMIC+va88RBc/fSmq7pSFueuqbz+l2d22VD+3b9q738jc+GTovXr19jNBopKyujoKCAK1euUFpa2uX6NLiIK4WOtOWp0PnH9tLtsiGmrr+R9jc+Ob3Wwmq1UlJSwrFjx3j8+DEmk4lZs2Z97WaJiLhB02sd8cnQKS0t5dixY5w7d46mpiYMBgMLFiwgLS2NgQMHfu3miYh8kiKnYz4TOm/fvuXMmTMUFBRQVlaG2WwmMTGRpKQkli9fTkpKigJHRPyIYqcjPhM6cXFxOBwO4uLiSEtLY9q0aZhMJgA9olpE/E5Pu//GXT5zn47dbsdsNhMQEMD79++x2+1fu0kiIl2mr8HpmM980rl16xYXLlygqKiI4uJiAgICiI+PJykpSe8YRMQPadzqiE8umX7y5AlFRUWcOnWKuro6DAYDM2fOZOnSpVgsls+qW0tjxZWWTEtbnloy/eZ9g9tlg4zBHjmmP/DJ0GnhcDi4du0axcXFXLt2jQ8fPjB58mQOHTrU5To1uIgrhY605anQ+bf9X26XNffx/LPDfJVPh46r+vp6Tp48SXFxMWfPnu1yPRpcxJVCR9ryXOhY3S5r7tPfI8f0B34TOp6iwUVcKXSkLU+FTqP9jdtlA/sEeeSY/sBnFhKIiHQnWgDVsR4XOp56FyPdi/qFiHf0uOk1ERH5enzm5lAREen+FDoiIuI1Ch0REfEahY6IiHiNQkdERLxGoSMiIl6j0BEREa9R6IiIiNcodERExGsUOl9ZQkICo0ePdr7GjBnDxIkTSU1N5f79+x4/XlVVFaNHj+bOnTsAZGZmMmfOHLf2bW5u5uTJk7x69arTMg6Hg7179zJ16lRiYmJYvHgxVVVVHml7T9Ld+oWrP/74w+26pftR6PiAhQsXcvPmTW7evMn169c5evQoAQEBLF68mGfPnn3RY2dlZXHgwAG3yt6+fZvMzEyampo6LbN//34KCgrYsmULx48fp3fv3ixZsoR37955qsk9RnfqFy2OHDlCTk7O5zZP/JhCxwf069ePwYMHM3jwYMLDw4mKiuKXX36hqamJS5cufdFj9+/fn5CQELfKfupr+mw2GwcPHmTFihXEx8cTHR1NTk4OL1++5Pz5855obo/SXfoFQE1NDenp6ezcuZMRI0Z8bvPEjyl0fFSfPh+/ALxv377Ax+mW7du38+OPPxIbG8uNGzcAKCoq4vvvv2fcuHF89913/Pnnn9jtdmc9lZWVLFiwgAkTJpCYmMjdu3dbHaftNMrTp0/JyMhg4sSJxMbGkpGRwYsXL7hz5w6LFi0CYPr06ezbt69dmysqKmhsbGTy5MnObUFBQYwdO5Z79+556Mz0bP7YLwDKysowm82cPn2amJgYz50Q8Ts97tEG/qCmpobt27cTGBhIXFycc/vhw4fZv38/YWFhjBw5kqNHj5Kbm8umTZuYMGEClZWVZGdn8/TpU7Kzs7FaraSmpjJ+/HgKCwupra1l48aNnR7XarUyb948LBYLhw4dwmg0kp2dTXp6OoWFheTm5rJ69WpOnDiBxWLpsN0AERERrbaHh4fz/PlzD52dnstf+wV8DMeEhASPnxPxPwodH5CXl0d+fj4Adrsdm83GyJEjyc3N5ZtvvnGWmzJlCvHx8c7ff//9d9LS0khOTgZg6NCh2Gw21q5dy9q1a7l48SKNjY3s2LGD4OBgoqKiyMzMZNWqVR224+zZszQ0NLB7925CQ0MB2Lp1K4WFhdhsNoKDgwEYOHAgZrO53f4tc/omk6nVdpPJhM1m6+rp6bG6S78QcaXQ8QEpKSmkpqYC0KtXL0JCQujfv/0z0yMjI50/19fXU1NTw549e/jtt9+c2x0OBw6HgydPnlBZWcnQoUOdgwLAt99+22k7KisrGTZsmHNgARg+fDjr16936/8ICAgAPl7bcQ0em81GYKAekvb/6i79QsSVQscHDBgwoNXA0ZmWQR0+DiIAGzZsYMqUKe3KRkREUFJS0m670WjstP7/9Td3DBkyBIDa2lqCgv77zPfa2lpGjRr1WXX3RN2lX4i40kICPzVo0CAGDRpEdXU1kZGRztejR4/YtWsXdrudMWPGUFVVRX19vXO/0tLSTuu0WCxUV1fT0NDg3Pb48WMmTZrEw4cPP/nM9+joaIKCglpdlH7z5g3l5eXExsZ+xn8r7vLFfiHiSqHjpwwGA8uWLePIkSPk5+dTXV3N1atXycrKAj6uGvvhhx8ICwvjp59+4sGDB9y9e5dff/210zqTk5MJDQ1l3bp1VFRUUF5eTlZWFpGRkVgsFud8fUVFBVartd3+JpOJ+fPnk5OTw+XLl3nw4AFr1qwhIiKCxMTEL3MipBVf7BcirhQ6fiw1NZWNGzdSUFBAUlISP//8M8nJyezYsQOAwMBA8vPzMRqNzJ49mw0bNrBs2bJO6+vXrx95eXkAzJ07l0WLFjFkyBAOHDiAwWAgOjqahIQE1qxZw549ezqsY+XKlaSkpLB582bmzJlDc3Mzf/31V7vFBfLl+GK/EGlhaHbnzi4REREP0CcdERHxGoWOiIh4jUJHRES8RqEjIiJeo9ARERGvUeiIiIjXKHRERMRrFDoiIuI1Ch0REfGa/wCC2QCKQeAYtAAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7080,18 +7114,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9725158714805762\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9989080337882665, 'sensitivity': 0.8414285714285714, 'specificity': 0.9991804864323022, 'precision': 0.6415743038823921, 'f1': 0.7275105629203815, 'auc': 0.9203045289304368, 'actual_accuracy': 0.8004065040650407}\n"
+      "{'accuracy': 0.9801233871946075, 'sensitivity': 0.9005306122448979, 'specificity': 0.9802613298630041, 'precision': 0.07363967585043203, 'f1': 0.13609335731542882, 'auc': 0.9802191827331498, 'pr_auc': 0.7131738821815545, 'actual_accuracy': 0.9121951219512197}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -7100,108 +7135,122 @@
    ],
    "source": [
     "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'XGBoostminus1', 'XGBoost with one less depth', 5)"
+    "results = modelpipeline.run_model(df, varlist2, 'Class', True, 'smote', 'SVM_Linear0.5', 'Linear SVM with C=0.5, smote sampling and remove V24', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9989080337882665,\n",
-       " 'sensitivity': 0.8414285714285714,\n",
-       " 'specificity': 0.9991804864323022,\n",
-       " 'precision': 0.6415743038823921,\n",
-       " 'f1': 0.7275105629203815,\n",
-       " 'auc': 0.9203045289304368,\n",
-       " 'actual_accuracy': 0.8004065040650407}"
-      ]
-     },
-     "execution_count": 32,
+       "{'accuracy': [0.9812503291725918,\n",
+       "  0.9772124787135057,\n",
+       "  0.982128122750654,\n",
+       "  0.9806709854110708,\n",
+       "  0.9793550199252146],\n",
+       " 'actual_accuracy': [0.9085365853658537,\n",
+       "  0.9146341463414634,\n",
+       "  0.9146341463414634,\n",
+       "  0.9085365853658537,\n",
+       "  0.9146341463414634],\n",
+       " 'sensitivity': [0.9285714285714286,\n",
+       "  0.8979591836734694,\n",
+       "  0.8979591836734694,\n",
+       "  0.9081632653061225,\n",
+       "  0.87],\n",
+       " 'specificity': [0.9813411181260222,\n",
+       "  0.9773490670559063,\n",
+       "  0.982273182913318,\n",
+       "  0.9807959481560945,\n",
+       "  0.9795473330636794],\n",
+       " 'precision': [0.07899305555555555,\n",
+       "  0.06395348837209303,\n",
+       "  0.08029197080291971,\n",
+       "  0.07535986452159187,\n",
+       "  0.0696],\n",
+       " 'f1': [0.1456,\n",
+       "  0.11940298507462686,\n",
+       "  0.14740368509212728,\n",
+       "  0.13917122752150116,\n",
+       "  0.1288888888888889],\n",
+       " 'auc': [0.9920361757421257,\n",
+       "  0.9775534609320577,\n",
+       "  0.9732215310195972,\n",
+       "  0.9857688744913929,\n",
+       "  0.9725158714805762],\n",
+       " 'pr_auc': [0.6512721239352203,\n",
+       "  0.7939891227424168,\n",
+       "  0.7151974193275865,\n",
+       "  0.6965733733363062,\n",
+       "  0.7088373715662428],\n",
+       " 'final': {'accuracy': 0.9801233871946075,\n",
+       "  'sensitivity': 0.9005306122448979,\n",
+       "  'specificity': 0.9802613298630041,\n",
+       "  'precision': 0.07363967585043203,\n",
+       "  'f1': 0.13609335731542882,\n",
+       "  'auc': 0.9802191827331498,\n",
+       "  'pr_auc': 0.7131738821815545,\n",
+       "  'actual_accuracy': 0.9121951219512197},\n",
+       " 'model': CalibratedClassifierCV(base_estimator=LinearSVC(C=0.5, class_weight=None,\n",
+       "                                                 dual=True, fit_intercept=True,\n",
+       "                                                 intercept_scaling=1,\n",
+       "                                                 loss='squared_hinge',\n",
+       "                                                 max_iter=1000,\n",
+       "                                                 multi_class='ovr', penalty='l2',\n",
+       "                                                 random_state=42, tol=0.0001,\n",
+       "                                                 verbose=0),\n",
+       "                        cv=10, method='sigmoid')}"
+      ]
+     },
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "results['final']"
+    "results"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 59,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': [0.9988764242200804,\n",
-       "  0.9991046505503766,\n",
-       "  0.9989642035778866,\n",
-       "  0.9988764242200804,\n",
-       "  0.9987184663729087],\n",
-       " 'actual_accuracy': [0.8089430894308943,\n",
-       "  0.8028455284552846,\n",
-       "  0.7865853658536586,\n",
-       "  0.7987804878048781,\n",
-       "  0.8048780487804879],\n",
-       " 'sensitivity': [0.8469387755102041,\n",
-       "  0.8775510204081632,\n",
-       "  0.8061224489795918,\n",
-       "  0.826530612244898,\n",
-       "  0.85],\n",
-       " 'specificity': [0.999138279724953,\n",
-       "  0.9993141410055748,\n",
-       "  0.9992965548775126,\n",
-       "  0.9991734519810773,\n",
-       "  0.9989800045723933],\n",
-       " 'precision': [0.6287878787878788,\n",
-       "  0.688,\n",
-       "  0.6638655462184874,\n",
-       "  0.6328125,\n",
-       "  0.5944055944055944],\n",
-       " 'f1': [0.7217391304347825,\n",
-       "  0.7713004484304932,\n",
-       "  0.7281105990783411,\n",
-       "  0.7168141592920354,\n",
-       "  0.6995884773662552],\n",
-       " 'auc': [0.9230385276175785,\n",
-       "  0.938432580706869,\n",
-       "  0.9027095019285521,\n",
-       "  0.9128520321129876,\n",
-       "  0.9244900022861967],\n",
-       " 'final': {'accuracy': 0.9989080337882665,\n",
-       "  'sensitivity': 0.8414285714285714,\n",
-       "  'specificity': 0.9991804864323022,\n",
-       "  'precision': 0.6415743038823921,\n",
-       "  'f1': 0.7275105629203815,\n",
-       "  'auc': 0.9203045289304368,\n",
-       "  'actual_accuracy': 0.8004065040650407},\n",
-       " 'model': XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
-       "               colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
-       "               learning_rate=0.1, max_delta_step=0, max_depth=5,\n",
-       "               min_child_weight=1, missing=None, n_estimators=100, n_jobs=1,\n",
-       "               nthread=1, objective='binary:logistic', random_state=42,\n",
-       "               reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=42,\n",
-       "               silent=None, subsample=1, verbosity=1)}"
+       "{'accuracy': 0.9801233871946075,\n",
+       " 'sensitivity': 0.9005306122448979,\n",
+       " 'specificity': 0.9802613298630041,\n",
+       " 'precision': 0.07363967585043203,\n",
+       " 'f1': 0.13609335731542882,\n",
+       " 'auc': 0.9802191827331498,\n",
+       " 'pr_auc': 0.7131738821815545,\n",
+       " 'actual_accuracy': 0.9121951219512197}"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "results"
+    "results['final']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Next, we try Random Forest for the pipeline, CV 5 fold. We try some tuning with different tree depth, and naive/smote sampling"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 60,
    "metadata": {
     "scrolled": true
    },
@@ -7215,34 +7264,13 @@
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.018894\tvalidation_1-error:0.011341\n",
-      "[5]\tvalidation_0-error:0.009791\tvalidation_1-error:0.005425\n",
-      "[10]\tvalidation_0-error:0.00366\tvalidation_1-error:0.002686\n",
-      "[15]\tvalidation_0-error:0.001143\tvalidation_1-error:0.002563\n",
-      "[20]\tvalidation_0-error:0.000703\tvalidation_1-error:0.001949\n",
-      "[25]\tvalidation_0-error:0.000435\tvalidation_1-error:0.00144\n",
-      "[30]\tvalidation_0-error:0.000389\tvalidation_1-error:0.001352\n",
-      "[35]\tvalidation_0-error:0.000306\tvalidation_1-error:0.001229\n",
-      "[40]\tvalidation_0-error:0.00024\tvalidation_1-error:0.001141\n",
-      "[45]\tvalidation_0-error:0.000204\tvalidation_1-error:0.000983\n",
-      "[50]\tvalidation_0-error:0.000152\tvalidation_1-error:0.000878\n",
-      "[55]\tvalidation_0-error:0.000112\tvalidation_1-error:0.000755\n",
-      "[60]\tvalidation_0-error:9e-05\tvalidation_1-error:0.000667\n",
-      "[65]\tvalidation_0-error:7.9e-05\tvalidation_1-error:0.000597\n",
-      "[70]\tvalidation_0-error:7.5e-05\tvalidation_1-error:0.000597\n",
-      "[75]\tvalidation_0-error:6.4e-05\tvalidation_1-error:0.000562\n",
-      "[80]\tvalidation_0-error:5.5e-05\tvalidation_1-error:0.000562\n",
-      "[85]\tvalidation_0-error:4.6e-05\tvalidation_1-error:0.000579\n",
-      "[90]\tvalidation_0-error:3.7e-05\tvalidation_1-error:0.000544\n",
-      "[95]\tvalidation_0-error:3.3e-05\tvalidation_1-error:0.000527\n",
-      "[99]\tvalidation_0-error:3.1e-05\tvalidation_1-error:0.000527\n",
-      "[[56851    12]\n",
-      " [   18    80]]\n"
+      "[[56759   104]\n",
+      " [   14    84]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7254,6 +7282,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9870768876285896\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7262,34 +7291,13 @@
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.020259\tvalidation_1-error:0.017837\n",
-      "[5]\tvalidation_0-error:0.0088\tvalidation_1-error:0.00481\n",
-      "[10]\tvalidation_0-error:0.004434\tvalidation_1-error:0.003599\n",
-      "[15]\tvalidation_0-error:0.00118\tvalidation_1-error:0.002493\n",
-      "[20]\tvalidation_0-error:0.000769\tvalidation_1-error:0.00158\n",
-      "[25]\tvalidation_0-error:0.000618\tvalidation_1-error:0.001229\n",
-      "[30]\tvalidation_0-error:0.000528\tvalidation_1-error:0.001124\n",
-      "[35]\tvalidation_0-error:0.000466\tvalidation_1-error:0.001018\n",
-      "[40]\tvalidation_0-error:0.00042\tvalidation_1-error:0.000966\n",
-      "[45]\tvalidation_0-error:0.000345\tvalidation_1-error:0.000825\n",
-      "[50]\tvalidation_0-error:0.000317\tvalidation_1-error:0.000825\n",
-      "[55]\tvalidation_0-error:0.000257\tvalidation_1-error:0.000755\n",
-      "[60]\tvalidation_0-error:0.000207\tvalidation_1-error:0.000737\n",
-      "[65]\tvalidation_0-error:0.000169\tvalidation_1-error:0.000667\n",
-      "[70]\tvalidation_0-error:0.000147\tvalidation_1-error:0.000614\n",
-      "[75]\tvalidation_0-error:0.000114\tvalidation_1-error:0.000544\n",
-      "[80]\tvalidation_0-error:9.2e-05\tvalidation_1-error:0.000492\n",
-      "[85]\tvalidation_0-error:7.7e-05\tvalidation_1-error:0.000492\n",
-      "[90]\tvalidation_0-error:6.8e-05\tvalidation_1-error:0.000474\n",
-      "[95]\tvalidation_0-error:4.8e-05\tvalidation_1-error:0.000439\n",
-      "[99]\tvalidation_0-error:4.4e-05\tvalidation_1-error:0.000421\n",
-      "[[56852    11]\n",
-      " [   13    85]]\n"
+      "[[56755   108]\n",
+      " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7301,6 +7309,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9808983245444565\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7309,34 +7318,614 @@
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.014462\tvalidation_1-error:0.013816\n",
-      "[5]\tvalidation_0-error:0.006931\tvalidation_1-error:0.006654\n",
-      "[10]\tvalidation_0-error:0.002807\tvalidation_1-error:0.003459\n",
-      "[15]\tvalidation_0-error:0.001027\tvalidation_1-error:0.002616\n",
-      "[20]\tvalidation_0-error:0.000976\tvalidation_1-error:0.002352\n",
-      "[25]\tvalidation_0-error:0.000807\tvalidation_1-error:0.001984\n",
-      "[30]\tvalidation_0-error:0.000681\tvalidation_1-error:0.001773\n",
-      "[35]\tvalidation_0-error:0.000508\tvalidation_1-error:0.00144\n",
-      "[40]\tvalidation_0-error:0.000442\tvalidation_1-error:0.001299\n",
-      "[45]\tvalidation_0-error:0.00038\tvalidation_1-error:0.001194\n",
-      "[50]\tvalidation_0-error:0.000341\tvalidation_1-error:0.001159\n",
-      "[55]\tvalidation_0-error:0.000275\tvalidation_1-error:0.001088\n",
-      "[60]\tvalidation_0-error:0.000198\tvalidation_1-error:0.000966\n",
-      "[65]\tvalidation_0-error:0.00016\tvalidation_1-error:0.000825\n",
-      "[70]\tvalidation_0-error:0.000121\tvalidation_1-error:0.000755\n",
-      "[75]\tvalidation_0-error:0.000103\tvalidation_1-error:0.000702\n",
-      "[80]\tvalidation_0-error:8.6e-05\tvalidation_1-error:0.00065\n",
-      "[85]\tvalidation_0-error:6.4e-05\tvalidation_1-error:0.000614\n",
-      "[90]\tvalidation_0-error:5.3e-05\tvalidation_1-error:0.000579\n",
-      "[95]\tvalidation_0-error:4.6e-05\tvalidation_1-error:0.000527\n",
-      "[99]\tvalidation_0-error:3.1e-05\tvalidation_1-error:0.000509\n",
-      "[[56853    10]\n",
-      " [   19    79]]\n"
+      "[[56764    99]\n",
+      " [   16    82]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAERCAYAAACdPxtnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3dd1gU1/rA8e/SRCCoqIAtSIhgF2LBGCzBBPuN2BMVC0ZMxG7sLfaOEdDYWxALIV670Xs1hSgqVyNRE2NUFAvY0QAuZX5/+GPDyoKLLCLu+8kzz5M9c+bMmXGZd0+ZGZWiKApCCCGMkklRV0AIIUTRkSAghBBGTIKAEEIYMQkCQghhxCQICCGEEZMgIHIlE8fEq0K+i4WnyIPA2bNnGTduHN7e3tStWxdvb2/GjRvHpUuXCm2fx48fp127dtSuXZu2bdsarNzg4GDc3NxIT083WJm5iYyMxM3NDTc3N37//XedeS5cuKDJEx8fn6/yt2/fzuzZs5+bz9vbm9GjR+er7GcV1r9HlnHjxmnOQ/bFw8ODdu3aERISQkZGhsH3m5vo6Gjc3Nz45ZdfXto+s4uPj9d5PrKW9957r0jqpcutW7cYNGgQ165dK+qqvLbMinLnW7ZsYcaMGbzzzjsMGTIEBwcHrl27xoYNG+jcuTOrV6+mfv36Bt/v3LlzSUlJITQ0lNKlSxus3M6dO/Puu+9iZvbyTquJiQn79u2jevXqOdbt3r37hctdvnw577zzznPzffXVV9jY2LzwfqDw/j2ys7OzIzg4WCvtwYMH7N27l+DgYJ48ecKoUaMKZd+vqk8//ZQWLVrkSLewsHj5lcnFL7/8wuHDhxk/fnxRV+W1VWRB4PTp00yfPp0ePXowZcoUrXVt2rShS5cujBkzhu+//x5TU1OD7vvBgwd4eHjQvHlzg5ZbsWJFKlasaNAyn6d+/frs37+fESNG5Fi3Z88eatasyblz5wpt/3Xq1ClwGYX175Gdubk5DRo0yJH+wQcfcP36dSIiIowuCDg5Oek8J8K4FFl30OrVq3njjTf44osvcqyztbVl3LhxtG/fnqSkJE363r176dy5Mx4eHjRp0oTJkydz//59zfrg4GA+/PBDfv75Z3x9falTpw7e3t6sX78e+KcZfP36dXbv3o2bmxuRkZGarpW4uDitenz88cf07t1b8/n8+fP079+fhg0b4u7uzieffEJUVJTW/p/tDiponZ+nTZs2XLlyJceF/vTp09y6dYvWrVvn2ObQoUP07NkTDw8PateuTevWrdm0aZNmfdY52rVrF25ublr1XLlyJZ6enjRp0oRbt25pdQfNnTsXNzc3rXNy6NAh3NzcdB5Pbv8eAFeuXGHo0KF4eXlRr149evXqxYkTJ3Jsu3HjRjp06EC9evXYuHGjXufsWbpaMtu3b6dTp064u7tTt25dPvroI/bu3atZn9Wlc/z4cQYOHIi7uzuenp5MmTKFlJQUTT5FUVi1ahUtW7akbt269OvXj4SEhBz70/d49+3bR2BgIO7u7rz77ruEhISQnJzM1KlTadSoEZ6enkyaNIknT5680Ll4VmJiIhMmTKBFixbUrVuXTp06cejQIa08bm5uLFu2jO7du1O3bl3mzZsHPO3KGTVqFJ6enppjOn36tNa2R48epUePHnh4eFC/fn38/f357bffgKffuawWgI+PT46WnDCMIgkCiqLw008/8e6771KyZEmdeby9vRkxYgRlypQBYNmyZYwYMYKaNWsSFBTEZ599xoEDB/Dz89P6o7tz5w4TJ06kS5cuLF++nFq1ajFnzhyioqKwt7cnLCyM8uXL4+XlRVhYmN6/Ph8/fky/fv0oUaIECxYsYMmSJZibmxMQEJBrf6Uh6vw87777LnZ2duzbt08rfffu3Zp12R05coTBgwdTrVo1goODWbJkCZUqVWLmzJmcPHkSIMc5ynLz5k127NjB/PnzGT16NI6OjlpljxgxAhcXF82F8O7du0yePBkvLy/69OmTo+65/XtcvHiRTp06ceXKFcaOHcv8+fMB6Nu3L0ePHtUqY8GCBfTo0YN58+Y9998yPT1ds6jVam7dusXKlSuJioqiY8eOmnxhYWFMnjyZ5s2bs2zZMubOnYuZmRmjR4/m+vXrWmUOHz6c6tWrExISwieffMLWrVv5+uuvNesXL17M4sWLadOmDcHBwbi4uDBx4kStMvJzvFOmTOHNN98kJCSExo0bExwcTNeuXVGr1SxYsIAuXbqwfft2NmzYkOe5AMjMzNQ6J1lLljt37tClSxeOHTtGYGAgQUFBVKxYkcGDB/Pdd99plbVs2TK8vLxYsmQJ7dq14/79+/To0YNTp04xZswYFi5ciKmpKX5+fpqL/NWrVxk0aBBvvfUWwcHBzJkzh7t379K/f38eP35M586dGTRoEABBQUF07tz5ucckXoBSBO7evau4uroqCxYs0Cv/gwcPlNq1ayvjxo3TSo+OjlZcXV2VDRs2KIqiKEuXLlVcXV2VI0eOaPIkJycrtWrVUqZPn65Je//995VRo0ZpPn/77beKq6urcuXKFa3ye/ToofTq1UtRFEU5ffq04urqqsTExGgdx+zZs5ULFy5o7T8tLc3gdX5W9jpPnTpV+eCDDzTr0tPTlffee0/57rvvlG3btimurq7KtWvXFEVRlBUrVigjRozQKuvevXuKq6urEhoamus50lVPXfnOnDmj1KxZU1m4cKEyePBgxdPTU0lMTMz1OHSVMWzYMKVhw4bKw4cPNWlqtVrx8fFROnbsqCiKoly7dk1xdXVVhg0blmfZiqIoY8eOVVxdXXUu77//vrJs2TJFrVZr8s+aNUuZNWuWVhmxsbGKq6ursmPHDkVRFOXYsWOKq6urMm/ePK18H3/8sdK+fXtFURTl0aNHSq1atZQZM2Zo5ZkwYYLi6uqqREVF5ft4Bw8erMmTkJCguLq6Kl27dtUqv23btkpAQECu5yOrrNyW1NRURVEUZf78+UqtWrVy/F307t1bady4sZKWlqYoiqK4uroqXbp00cqzePFipVatWsrly5e1jqlt27ZK//79FUVRlD179iiurq7KrVu3NHkuXryozJs3T7l586aiKLn/bQrDKZIxgaw+fn1nZJw+fRq1Wk2HDh200hs1akSlSpU4fvw4fn5+mvTsg8klS5akdOnSJCcnF6jO1apVo3z58nz22We0bdsWLy8vPD09cx2wepl1btu2LeHh4fz222/Url2b6OhoHj16xAcffJCjhTBw4EAAUlNTuXLlCleuXCE2NhYAtVr93H1ldQ/lpk6dOgQEBLB8+XIyMzNZtmwZ5cuX1+s4shw/fpxmzZpha2urSTM3N6d9+/aEhITw6NEjTbqrq6teZZYtW5YVK1YAT1t1q1evJjY2lilTpuQYHJ0wYYIm3+XLl4mLi9P8In/2HD07caFChQqa7p5Tp06RlpbGhx9+qJWnffv2REREvNDxZt+fvb09AO7u7lrllylThocPHz7njMBnn31Gy5Ytc6RnDQwfP36cOnXq4OTkpLW+Y8eOjB8/nosXL2omJDz773Ds2DFcXV2pXLmypnWhUql4//33Wb9+PWq1Gnd3d6ysrOjWrZvmb6pBgwaMGTPmuXUXhlMkQaBUqVJYW1vnaFpn9+TJE5KSkihfvrzmC12uXLkc+cqVK6c1bgBgaWmp9dnExKTA84ytrKwIDw9nxYoVHDhwgM2bN2NhYYGPjw/Tpk3jjTfe0Mr/MuvcoEEDHBwc2LdvH7Vr12b37t20aNFCZ1/3/fv3+fLLLzl48CCKomgNDuqzP13H8yxfX1+WLVtGqVKlaNiwoV7HkN3Dhw91Bo6sfWe/KOobYMzMzLQGsRs0aICfnx+BgYFs2LBB6+J67do1pk2bRlRUFGZmZri4uOQa/J7tzlSpVJrz+ODBA4AcXXJZF+8s+Tlea2trveqgj0qVKuU5sP/w4UOds8501evZ78X9+/eJi4ujVq1aOsu+f/8+FStWZPPmzaxatYqIiAjWrl2LlZUVnTp1YuzYsa/ULKXXWZENDHt5eREdHU1qaqrO9fv27cPLy4sffviBUqVKAU/7KJ+VmJioGTd4UVl/NM+2TB4/fqz1uUqVKsycOZOoqCh27NhB37592bdvH0FBQTnKLOw6Z2diYkLr1q3Zv38/arWagwcP0r59e515R40axalTp1i3bh2nT59m3759ml++hqAoClOmTKFChQoATJ8+Pd9llCpVitu3b+dIT0xMBDDINFJzc3Pmzp2LiYkJY8eO1QykZmZm8umnn5KYmEhERASnT5/m3//+t6YFlR9ZF/9nvwPZJwZA/o5X3wu8ITyvXnl9h9944w3q169PRESEziVr2xo1arB48WKOHTvGli1b6NChA998843WRAVRuIosCPTv35+HDx+ycOHCHOsePHhAaGgojo6OvPfee9SrVw8LCwt27dqlle/EiRPcvHmzwPcSZP1ivnnzpibt9u3bXL58WfN5//79NG7cmMTERFQqFTVq1GDUqFG89dZbOls0hV3nZ7Vt25b4+HhWrlyJoii5DpLGxMTwwQcf0KhRI80vrR9++AHQbgmYmLzYVyMsLIxffvmFGTNm8MUXX7Br1y4OHDiQrzIaNmzIjz/+qNVaSk9PZ+/evdSsWRMrK6sXqtuznJycGDhwINeuXWPlypXA0wv05cuX8fX1pXbt2pp7PrLOUWZmpt7le3h4ULJkSfbs2aOV/p///Efr88s63vxq2LAhsbGxXL16VSt9586d2NnZ4ezsnOu2jRo14vLlyzg5OVGnTh3NsnfvXtavX4+5uTnr16/n/fff58mTJ5iamuLh4cGXX36JlZWV5m/qRb+HQn9Fdp+Au7s7w4cPJygoiEuXLvHRRx9Rrlw5Ll68yIYNG7h//z4bN27EzMyM0qVLM3DgQEJCQjA3N6dly5bEx8ezdOlSnJ2dCzxr4N1338XKyoq5c+cybNgw1Go1K1as0Orieeedd1AUhUGDBjFgwABKlSrFTz/9xJ9//smAAQNylFnYdX6Wu7s7lSpV4uuvv6ZDhw65NqXr1q3L7t27qVWrFo6Ojvzvf/9j9erVqFQqrTEIW1tb/vjjD44ePYqnp6dedYiLi2PhwoX4+vri5eUFwK5du5g6dSoNGjSgbNmyepUTGBjIjz/+SK9evRg4cCAlSpRg06ZNXLt2TdOvbyiffvopO3bsYNWqVXTs2JEqVapQqVIlNm/ejKOjI7a2tvz888988803AFqzup7HysqKIUOGMH/+fCwtLWnatCkxMTFs3bq1yI43P/r168fOnTvp27cvn3/+OXZ2duzYsYPo6GhmzpyZ5/07Wdv6+fnRr18/ypYty6FDhwgPD2fYsGGoVCoaN27MokWLGDRoED179sTCwoLdu3eTmpqqmdqcNU5y8OBBfHx8ePPNN1/KsRuTIg2zgwYNYvXq1VhYWGi+DN988w2NGzdm586dWv2VQ4YMYdq0acTExDB48GCWL19O69at2bJli85+0vywsbEhNDQUc3Nzhg8fzuLFi+nevTve3t6aPPb29qxdu5ayZcsyffp0Bg0axC+//MLs2bO1phdmV5h11qVt27akpaXlGIzObu7cuXh4eDB79myGDh3KkSNHmDZtGs2aNSMmJkaTLyAggNu3b/P5559z48aN5+47MzOTsWPHYm1tzbhx4zTpM2fOJCUlhcmTJ+t9HNWqVWPz5s04ODgwefJkxowZg0qlYsOGDTRt2lTvcvRRokQJJkyYwJMnT5gzZw7wdLpjhQoVmDhxIqNGjSI2NpbQ0FDefvttzTRaffn7+/Pll1/y008/ERgYSHR0NLNmzdLK8zKPNz/Kly9PeHg4devWZf78+YwYMYJbt24REhJC165d89zW3t6eLVu24OzszOzZsxk8eDAxMTFMnTqVzz//HIDq1auzcuVK0tLSGD9+PEOGDOHKlSuEhobSqFEj4OkPtKypp2vWrCn0YzZGKqWgI6ZCCCGKLelwE0IIIyZBQAghjJgEASGEMGISBIQQwohJEBBCCCNWpC+VEUKIl0X1YWW98yoH8/cmvuKsyINAfv5hxOsv648vNaNgD/wTrxdLUwPcNf0SH7lRnBR5EBBCiJdCOr91kiAghDAO0hLQSYKAEMI4SAzQSYKAEMI4mEoU0EWCgBDCOEh3kE4SBIQQxkFigE4SBIQQxsFEooAuEgSEEMZBYoBOEgSEEMZBxgR0kiAghDAOMjtIJwkCQgjjIDFAJwkCQgjjIN1BOkkQEEIYB5kdpJMEASGEcZAYoJMEASGEcZCWgE4SBIQQxkGCgE4SBIQQxkFigE4SBIQQxkFmB+kkQUAIYRzkzWI6yWkRQhgHlUr/JR8uXbqEm5tbjmX79u0AnD9/nt69e+Pu7k6LFi1Ys2aN1vaZmZksXbqUpk2bUq9ePfr3709cXJxWHkOUkRsJAkII42Ci0n/Jhz/++AMbGxt+/vlnraVDhw7cu3ePvn374uTkxLfffsuwYcNYunQp27Zt02wfGhpKeHg4M2fOZOvWrZiamuLv78+TJ08ADFJGXqQ7SAhhHArpJ++FCxdwcXGhfPnyOdatX78ec3Nzpk2bhpmZGS4uLsTFxbFy5Uq6deuGWq1m7dq1jB49mubNmwMQFBSEl5cX+/bto2PHjmzbtq3AZeRFWgJCCONQSN1Bf/zxBy4uLjrXnTx5kgYNGmBm9s/vbU9PT65du0ZCQgLnz58nOTmZxo0ba9bb2NhQs2ZNTp48abAy8iItASGEccjHtT0pKYmkpKQc6ba2ttja2mqlXbhwAScnJ3r06MHVq1epWrUqn3/+OV5eXiQkJPD2229r5be3twfg5s2bJCYmAuDg4JAjz82bNwEMUkZeJAgIIYxDPvr6N2zYQEhISI70wMBAhgwZovmcnJxMfHw8dnZ2jBo1Cmtra3bu3MmAAQNYu3YtqampWFhYaJWR9fnJkyekpKRopWXPo1arAQxSRl4kCAghjEM+unn69OmDr69vjvRnWwFWVlbExMRgbm6uuQjXrl2bv/76i9WrV2NpaZnjQpz12crKCktLS01a9ou4Wq3GysoKwCBl5EWCgBDCKKjy0RLQ1e2TG2tr6xxprq6uHD58mCpVqmi6a7JkfXZ0dERRFE2ajY2NVp6sLiBHR8cCl5EXGRgWQhgFlUql96KvU6dO4eHhwZkzZ7TSf/vtN6pVq0bDhg2JiYkhPT1ds+7YsWNUrVqV8uXLU716dWxsbDh+/Lhm/ePHjzl37hyNGjUCMEgZeZEgIIQwCoUxOah27dpUrlyZyZMnExMTw19//cXMmTM5deoUn332GZ07dyYlJYUJEyZw8eJFduzYwfr16wkICACe9tv36tWLoKAgDh06xO+//86IESNwcHDAx8cHwCBl5HlelKy2RBFRfVi5KHcvXjHKwXgAUjOSi7gm4lViafr8vu3nsRjprnde9eLTeudNSEhg0aJFREVFkZSURK1atRg5cqTmV3hsbCyzZs3i7NmzlC9fnr59++Ln56fZPiMjg6CgICIjI0lJSaF+/fpMnTqVKlWqaPIYoozcSBAQrxQJAkIXQwSBEqM89M77ZNGpAu+vuJCBYSGEUTAxkd5vXSQICCGMgjxJWjcJAkIIo5CfWT/GRIKAEMIoSBDQTYKAEMIoqOT9kjpJEBBCGAVpCegmQUAIYRRM8/myGGMhQUAIYRSkJaCbBAEhhFGQIKCbBAEhhFGQGKCbBAEhhFGQloBuEgSEEEZBgoBuEgSEEEZBnh2kmwQBIYRRkIaAbhIaX4DdG6VRDsbnWLZPXqHJ073Fvziz8hApey5yYf1PBH7UT7Nuau+ROrdXDsZzaeMvmnymJqZM8xtFXFg0f+/6k+jg3Xh7vJdrvfr4dEU5GI+Tgzyeu7hI/juZ2TPn8n7Tlrzb4D0Gffo5f/z+h2b93bv3GD9mIl6Nm+HVuBmjho/m+vUbRVjj4qsw3iz2OpCWwAuo51ITAJ9xn5CU/FiTfjfpPgDdmndg8/gQFkWsZNiy/9LSw4vgwBkkJT9i48EIVu8LZ//JI1plVq/iwtpRi1i9P1yTtnTwdHp/0Jkxq2bx1804Pmvvx+4ZG/D4rBV/XPtLa3uHMuVZHDC1kI5YFJaRw0dz+n+n+WzwIKq5VWPv7r306+3P5m3fUKlSJQb2D+DunTsMHzmMChUc2fxNOH169iVixzZKly5d1NUvVozt4q4vCQIvoK5zDW7dS+RgzI8618//dCLLdm1kzKqZABw+/QtVHarw4TvN2Hgwgut3bnL9zk1NfhMTE0ICZ/DDmWPM3hwMwNuVnBnUvjfdZn7Gtz/tAeDIr0f5dcX3tPTwyhEEQofMIvlJCnbIhaG4OHf2HEejjjJp6kS6du8CQJP33sUvrg+hS5fRqo0PF/+8yLKVobzn1QSAhp4N+ahtR9atXs+I0cOLsvrFjokEAZ2kO+gF1H2rBmcun9e5rr5rXZwcKrNyT5hWeq+5Q+g9b6jObQa0+Zh6b9UkMGSSJu2jd3249+iBJgAApKWnUdP/fZbt3KC1feem7WhWx5Npmxa/6CGJIhB3JQ6AJv9/gc/i7uHOL1FHibsSh6mpKZ6N/3lZuIWFBbVq1yLq518Q+WNiotJ7MSZ5BoF79+6xfPly/P39adu2LS1btqRDhw58+umnrFq1igcPHryser5S6r5VA6sSJYlasoOUPRe5tvkEX3T77Ok65xoAmJmacmRRBE/2XuJq2HE+6+Cns6wS5iWY1nska/dv5VzcBa19/H7tIp2btuPcmsOk7b/Cqa8P0KxuY63ty7xRmpDAGQxfPo07D+8V0hGLwuDg6AjArZs3tdKvX7/O48ePsXewJyMjg9uJt3OsvyHjAvmmysd/xiTXIBAbG0ubNm3Yvn07ZcuWxdvbm48++ojmzZtTpkwZwsPDadOmDb///vvLrG+RU6lU1HzTFbfKLqzY8w1tJvgRfvjfzOk/jsm9hlO+dFnSM9LZOX0dB04eofWEXuz45QDLhs6mW/MOOcrr8f6/sC9djoURK7TSy5cqS7VKziz5bBpzwkNoN6kPtx/cZd+sTVoDv0s+m8api2fZ/N/vCv3YhWHVrlMLp6pOzJo+h7O/nSUp6RHbt0bw849RADRs1JAyZUozcdwkLv11iQcPHrA85Gsu/vkXKSkpRVz74kcGhnXLdUxg1qxZeHt7M2vWLJ3zazMzM5k4cSIzZ87km2++KdRKvkpUKhXtJ/fhauIN/rpxBYAjv/6CTUkrxnb7nDlbQjAzNWPl3jDmhIcAT8cEnB2rMLX3CLb9sEurvIFte7LvxGEuXr+slW5uZoZDmfI0G9mZn2KjAfj5t+P8tSGKMd0+Y3DwRFo1aIHve62p/WnLwj9wYXAWFhYs/moR48eM55NuvQCo516Xvv378PWyFViWtGTx0sVMHDcJ3w6dAWjWohmduviyc8euvIoWOhjbxV1fubYEzp8/z4ABA3K9wcLExIQBAwZw9uzZQqvcqygzM5PDp3/RBIAs+08cwbqkldbn7A7+7ydcK7+FuZm5Js2+dDka13iHLUd25tjP45S/+TslWRMAAJJTUzh67n/Uca6OTUlrVgyfy9SNi7h+5xamJqaafytTE1P5whcTb1dzYft32zjwn33s+X43GzdvQKVSYWJigo2NDe/U92Dv97vZc2AX3x8+QPCyr0hOTqFUKduirnqxo1LpvxiTXINA+fLl+eOPP3JbDcCZM2eMbppahbIOfNq2J+VK2WmllyxhCcCVhHgALLJd7AHMTc1QoSIzM1OT1qpBczIyM9h59Psc+7l44wqmpiaYmphql2NmhqIo1K/2dAB68aCppB+II/1AHJFTVwHw18Yo1o5eVPCDFYUqJSWFXTt3k5iYiGMFRypXrgTAhQsXeLuaC48ePeLf3+0kJTmFylUq4+BgD8CfF/7ErbpbUVa9WJLuIN1y7Q7q168fEydO5Pz58zRq1AhHR0csLCxQq9UkJiZy/PhxNmzYwPDhxjVNrYS5BStHzMPasiRLIldr0js3bcsf1/5i59HvSXmSStfm7Yk6e0Kzvp1nS05c+JWMzAxNWqPqHpy/epFH2e41yPJ9zI+M7jqIDu9+yI6o/QCUsralSc0GrNwbRsyfZ2gwuK3WNs3rNmZRwBQ6TO5L7GXjGqspjszMzJj55SwGD/kcv769AYiPv87PP0bh17c3aWlpTJk4FWsbaz748GmX36+nf+X8ufN069GlKKteLMljI3TLNQj07NmTkiVLsmLFClatWqUVHRVFwdnZmYkTJ9K1a9eXUtFXxZVb19j83x3M6PsFmYrC+at/0rVZezp7taXjNH8eJT9mdngw03qPJOnvR/xw5hjdW/yL5nUb03ai9gyh2lXd+CP+L537ORjzI4f+9xNrRi6krG0ZbtxNYHyPwQB89d0aHqf8TcyFM1rbVC5XAYDYy78T9/8tEvHqMjc3p1NnX1avWIOdnR02NtYsWbyUMmXK0KtPT0qXLk2L95uzaP5iVCoVaWlpLJizEDc3Vzr8K+ckA5E3I/uBr7c8bxbr1KkTnTp14u7duyQkJJCSkoKlpSUVKlTAzs4ur01fa/6LRjO51zCG+/pToaw9569epPP0gew6ehCAmWFf8fDvRwzp2I8vug3iQvxlOk8fyIFn7hK2L12WP58ZEM6u41R/5viPZ1a/MdhYWnP0fAzNRnXm1r3Ewjw88RINGzkUlUpF0MIlPFE/oZFnQ0aOHqHpZp0+60vmz13Al5OnY2KiomnzZowYPQxzC/PnlCyeZWzdPPpSKYqiFGkFPpTn3Ih/KAeftmBSM5KLuCbiVWJpavX8TM9R46u2z8/0/84P2/tC+7h8+TKdOnViwoQJml6S+Ph4ZsyYwYkTJ7C0tMTX15cRI0ZgZvbPb/CwsDDWrl3L7du3qVGjBhMnTqRu3bqa9YYoIzfSSSaEMAqFPTCclpbG6NGjSU7+5weMWq3G398flUrFli1bmDFjBhEREQQHB2vyREZGsmDBAoYPH05kZCTOzs4MGDCAu3fvGqyMvEgQEEIYhcKeIhocHIy1tbVW2oEDB7h+/Trz5s3D1dWVli1bMnr0aDZu3EhqaioAK1as4Bp3LgIAACAASURBVJNPPqFDhw68/fbbzJo1CxsbG7Zs2WKwMvIiQUAIYRRMTEz0XvLrxIkTbN26lXnz5mmlnzx5kho1alCqVClNmqenJ8nJyZw9e5Y7d+5w5coVPD09NetNTU2pX78+J0+eNFgZeZGniAohjEJ+unmSkpJISkrKkW5ra4utrW2OvGPGjGHSpElUqFBBa11CQgKO//+MqCz29k/v97h16xaWlk/vL9KVJzY21mBl5CXPKaL6CgsLe34mIYQoQvnp5tmwYQMhISE50gMDAxkyZIhW2rRp03B3d6dDh5zTdlNTU3N0EVlYWADw5MkTzTOgstKy51Gr1QYrIy+5BoE333zzuRsLIURxkZ+WQJ8+ffD19c2R/mwrYMeOHZw8eZJdu3Q/y8nS0jLHhTjrs5WVleZXvK48VlZWBisjL7kGgTlz5jx3YyGEKDbyEQR0dfvo8u2333L37l1atGihlT59+nTWr19Pw4YNOX9e+90jiYlP7/NxdHSkYsWKmjQ3NzetPA4ODpp8BS0jL3qPCdy5c4dLly6RkfHPYw/UajW//vorQ4fqflmKEEK8KgrjZTELFy7UzNDJ4uPjQ2BgIO3bt+f06dNERkaSlJSkCSrR0dFYW1tTs2ZNLCwscHZ25vjx4zRt2hSAjIwMYmJi6N69OwANGzYscBl50SsI7Nixg8mTJ5OWloZKpUJRFE3TqlKlShIEhBCvvMK4Yzi3X9p2dnZUqlSJcuXKsWTJEkaMGMEXX3zBjRs3WLRoEf369dP04ffv35+ZM2fi7OxM3bp1WbNmDX///bfmZrMPPvigwGXkRa8gsHLlStq3b09AQADdunVj3bp1JCQk8OWXX+YYJBFCiFdRUTw2okSJEqxevZrp06fTrVs3bG1t6d69O4MHD9bk6datG48fP+arr77iwYMH1KpVi7Vr12oezWOIMvKi12Mj6tSpw44dO3BxcaF3794MHDiQpk2b8v333/P1118TGRn5IufnaQXksREiG3lshNDFEI+NaLhW/yevnugfUeD9FRd63RVhYWGhaXY4OTlp3jNQu3Zt4uLiCq92QghhIPJSGd30CgK1a9fW3H5crVo1oqKevgP1zz//xNxcnmYohHj1yUtldNNrTGDIkCEMGDAAOzs7fH19CQ0NpVWrViQmJtKuXbvCrqMQQhSYvFRGN72CQIMGDThw4ABqtRo7Ozs2b97Mli1bqFChAr179y7sOgohRIEZ2y98fel9n0D2qVBvv/02kyZNKpQKCSFEYZAYoJteQcDPzy/P9Rs3bjRIZYQQorBIS0A3vYLAszdEpKenExcXx6VLl54bIIQQ4lUgQUA3vYLAggULdKYHBQXpfNyqEEK8aiQI6Fag4fIuXbqwZ88eQ9VFCCEKjYmJSu/FmBTopTIXL16kiN9TL4QQ+pGWgE56BYExY8bkSHv8+DFHjx6ldevWBq+UEEIYmnQH6aZXELh586bWZ5VKhbm5Of7+/vTr169QKiaEEIZkZL08etMrCGzatCnXdbdv387x6jMhhHjVSEtAN70GhmvUqMG9e/dypN+4cQMfHx+DV0oIIQzN1MRE78WY5NoS2Lt3Lz/99BMAiqIwc+ZMSpQooZUnPj5er3dYCiFEUTOuS7v+cg0C7u7uhIWFaWb/xMfHY2b2T3aVSoW1tbW8i1gIUSyYSHeQTrkGgYoVKxIWFgZA7969CQ0N1evFy0II8SqSMQHd9Gohbdq0iRMnTnD48GFN2qRJk/jhhx8KrWJCCGFIJiqV3osx0SsIbN++nWHDhnH9+nVNmlqtZvDgwezdu7fQKieEEIYiL5XRTa8pomvWrGHq1Klab66fP38+9evXZ/ny5bRt27bQKiiEEIZgZmQXd33p1RK4efMmjRs3zpHepEkTrl69avBKCSGEoUlLQDe9gkClSpU4duxYjvSYmBjs7e0NXikhhDA0GRPQTa/uoJ49ezJ79myuXr1KvXr1AIiNjWXjxo0MGTKkUCsohBCGYFyXdv3pHQRSU1NZv349q1atAsDe3p7Ro0fTqlWrQq2gEEIYgrH9wteX3o+S9vf3x9/fn/v372Nubs7Zs2cJDw9n7ty5xMbGFmYdhRCiwIztcRD6ytf7BB49esSuXbvYsmULly9fxsLCAl9f38KqmxBCGIy0BHTTKzTGxsYyceJEmjVrxuzZs7l8+TJ+fn4cPnyY6dOnF3YdhRCiwFT5WPIjISGBkSNH4unpiYeHBwMHDuTPP//UrD9//jy9e/fG3d2dFi1asGbNGq3tMzMzWbp0KU2bNqVevXr079+fuLg4rTyGKCM3uQaB1NRUIiIi6Ny5M127dmX//v34+PiwYsUKTE1N6dq1K3Z2dnrtRAghilphzA5SFIVPP/2UW7dusWbNGiIiIrC0tKRv3778/fff3Lt3j759++Lk5MS3337LsGHDWLp0Kdu2bdOUERoaSnh4ODNnzmTr1q2Ympri7+/PkydPAAxSRl5y7Q5q1qwZmZmZNGvWjICAAFq0aIGFhYXmwIUQojgpjO6gO3fu4OLiwtChQ3F2dgbg888/56OPPuLChQtER0djbm7OtGnTMDMzw8XFhbi4OFauXEm3bt1Qq9WsXbuW0aNH07x5cwCCgoLw8vJi3759dOzYkW3bthW4jDzPS24r0tPTsba2xtLSkrS0NNLT0w113oQQ4qUrjJvFypcvT1BQkCYA3LlzhzVr1mBvb4+rqysnT56kQYMGWk9g9vT05Nq1ayQkJHD+/HmSk5O1bsa1sbGhZs2anDx5EsAgZeQl15ZAVFQU+/fvJyIigsjISCwtLWnevDlt27Y1ujvqhBDFn2k+rltJSUkkJSXlSLe1tc31acrjxo3ju+++w8LCguXLl2NtbU1CQgJvv/22Vr6sG2xv3rxJYmIiAA4ODjnyZL3W1xBl5CXXIFCyZEl8fX3x9fXlypUrRERE8O9//5sDBw6gUqlYs2YNAwYMwMXF5bk7EUKIopaf7qANGzYQEhKSIz0wMDDXG2T9/f3p2bMnmzdvZvDgwYSFhZGamqrpRs+S9fnJkyekpKRopWXPo1arAQxSRl70miJatWpVRo8ezciRIzly5AiRkZHs2rWLHTt20LhxY9atW6dPMUIIUWTyEwT69Omjc/p7Xu9UqVatGgCzZs3i119/ZdOmTVhaWua4EGd9trKywtLSUpOW/SKuVqs1b200RBl5ydd9AiYmJnh7e+Pt7c29e/f47rvviIyMzE8RQghRJPLTjZ1Xt092iYmJREdH0759e035JiYmvP322yQkJODo6Kjprsm+DYCjo6Nmkk1iYiI2NjZaebK6gAxRRl5e+BY6Ozs7/P392bNnz4sWIYQQL41JPhZ93bx5k9GjRxMTE6NJS0tL49y5c7i4uNCwYUNiYmK0JtYcO3aMqlWrUr58eapXr46NjQ3Hjx/XrH/8+DHnzp2jUaNGAAYp43nnRQghXnuFMTuoTp06eHp6MmXKFE6ePMmFCxcYO3YsDx48oG/fvnTu3JmUlBQmTJjAxYsX2bFjB+vXrycgIAB42m/fq1cvgoKCOHToEL///jsjRozAwcEBHx8fAIOUked5UYp40r/qw8pFuXvxilEOxgOQmpFcxDURrxJL0+f3bT/PqJ/H6J13kdd8vfM+fPiQhQsXcvjwYR49ekSDBg0YM2YMbm5uwNMnLsyaNYuzZ89Svnx5+vbti5+fn2b7jIwMgoKCiIyMJCUlhfr16zN16lSqVKmiyWOIMnJT5EFACCFehtFRY/XOu/C9eYVYk1dLvgaGhRCiuDKRNwroVORBQJr9IrusZr98L0R2hugOkptcdSvyICCEEC+DPEpaNwkCQgijYKKSyZC6SBAQQhgFaQnoJkFACGEUVHJblE4SBIQQRkFaArpJEBBCGAWZHaSbBAEhhFFQyX0COkkQEEIYBVMTGRPQRYKAEMIomMjAsE4SBIQQRkHGBHSTICCEMAoSBHSTICCEMAryADndJAgIIYyCtAR0kyAghDAKpvLsIJ0kCAghjII8QE43CQJCCKMg3UG6SRAQQhgFuWNYNwkCQgijIA+Q002CgBDCKMjAsG4SBIQQRkElQUAnCQJCCKMgYwK6SRAQQhgFGRPQTYKAEMIoyBRR3SQICCGMgjw7SDcJAkIIo2BiYlrUVXglyXC5EMIomKDSe8mPx48fM3v2bLy9vfHw8KBTp0785z//0ayPj48nICCAd955hyZNmrBgwQLS09O1yggLC6Nly5bUrVuX7t27c+bMGa31higj9/MihBBGQKVS6b3kx/jx4zly5AgzZ85kx44d+Pj4EBgYyNGjR1Gr1fj7+6NSqdiyZQszZswgIiKC4OBgzfaRkZEsWLCA4cOHExkZibOzMwMGDODu3bsABikjz/OiKIqSryM2sNSM5KLcvXjFWJpaAfK9ENqyvhcFEfbnOr3z9qzWT698t2/fxsvLixUrVtCiRQtNep8+fShXrhwtWrRg/PjxREVFUapUKQC2b9/O7NmzOXr0KJaWlrRq1YqWLVsyZswYADIyMvjwww/p3LkzgwcPZteuXQUuIy/SEhBCGIXCaAmULFmSVatW0aBBgxz7evjwISdPnqRGjRqaizeAp6cnycnJnD17ljt37nDlyhU8PT01601NTalfvz4nT54EMEgZeZGBYSGEUchPX39SUhJJSUk50m1tbbG1tdV8trGxoVmzZlp5Tp8+zbFjx5g0aRI///wzjo6OWuvt7e0BuHXrFpaWlgA688TGxgKQkJBQ4DLyIkFACGEUTFT6zw7asGEDISEhOdIDAwMZMmRIrtv99ddfBAYGUq9ePbp3786hQ4ewtrbWymNhYQHAkydPSElJ0UrLnketVgOQmppa4DLyIkFACGEU8tPN06dPH3x9fXOkZ28FPOvEiRMEBgZSsWJFVqxYgbm5OZaWljkuxFmfraysNL/ideWxsno6DmKIMvIiYwJCCKOgysd/tra2VK5cOceSWxDYuXMn/fr1o1atWmzatInSpUsDT7toEhMTtfJmfXZ0dKRixYpaadnzODg4GKyMvEgQEEIYhcKaIrpr1y7GjBlDmzZtWLFiBTY2Npp1DRs25Pz581rjC9HR0VhbW1OzZk3s7Oxwdnbm+PHjmvUZGRnExMTQqFEjg5WRF9Np06ZNy9cRG1i6klaUuxevGDMTc0C+F0Jb1veiIP54cFbvlkCNMrX1KvPWrVv4+/tTv359pk2bxpMnT0hOTiY5OZm0tDTc3NzYuXMnx44dw83NjTNnzjBz5kz8/Pxo0qQJ8LTvPjg4GAcHB8zNzVm0aBEXLlxg9uzZlCxZEicnpwKXkRcZExBCGIX8DAzr6/vvvyclJYVjx47RtGlTrXXvvPMO4eHhrF69munTp9OtWzdsbW3p3r271tz9bt268fjxY7766isePHhArVq1WLt2LXZ2dgCUKFGiwGXkRW4WE68UuVlM6GKIm8V2xkXonfdfTl0KvL/iQloCQgijIC+V0U2CgBDCKMhLZXSTICCEMArSEtBNgoAQwijIm8V0kyAghDAKhTE76HUgQUAIYRTk9ZK6SRAQQhgF6Q7STYKAEMIoyMCwbvLsoCJw5L9HeLfBeznS9+3dT+ePutLQ3ZMOrf/F5m/Ci6B24mXKyMhg3Zr1tG/1LxrXb0LP7r2JPvbPM2BSU1MJXhKiWd+tUw/27ztQhDUuvgrr2UHFnQSBl+z0qdNMGDuJZ2/U3r/vAOO/mMB7Xk0I+ToYn9Y+zJs9n507dhZRTcXLsH7tBoKXhNCx00csCV5MlTcr8/nAwZw/9zsAs6bPZmv4Vnr6fcKS4MW8U9+DsaPGcWDf90Vc8+LHVGWq92JMpDvoJVGr1YRt2kzo0mWULFmSzMxMzTpFUViycAndPu7GyC9GAODZuBE3rt/g6C/R/Kvjv4qq2qKQ7fr3btq0a82AAH8AGno25FTMab6L3IGD40B27tjF1BlT6NT56bPtGzdpTPy1eDas30irNj5FWfViR7qDdJMg8JL8/GMUa1atZcTo4Tx88JCN6zdp1p07e46bN2/RpWsnrW3mLJj9sqspXjK1Wo11tkcPm5qaYvOGDUkPH5L8dzJdu3ehSZN3tbZxcnbit9jfXnZViz1j6+bRl3QHvSS16tRi7/d76Nn7kxxfxgt//Ak87R/u7+dP/boN8fFuzdbwbUVRVfESdf+4G3t27iH6aDSPHj0ibNNm/rr4F63btKJylcpMmjoRxwr/vDs2IyODqJ9+oaqzcxHWunjKz0tljIm0BF4SBwf7XNfdv38fU1NThg4eTvce3Qj4PID/Hvovs2fMoVTpUrRu0+ol1lS8TN16dOVE9AkG+g/SpAUOHUwL7xY68y8P+ZrLly7zVeiSl1PB14i0BHTLNQg0b95c75N25MgRQ9XHKKWnp5ORkUHnrp00fcOejRtx/foNVoSukCDwmlIUhc8+Hcylvy4xccp4nN96i+ij0Xy9bAVv2L5Bj0+6a+Vfu3odq1asxq9vb1q837yIal18mUjHh065BoExY8YwYcIE3nrrLVq2bPky62R0sl4G/Z6X9rTRd5s0ZtH8xaSp0zC3KPiblcSr5dT/TnPqf6dYsHg+Pq0/BKBhowakZ6QTtGgJ//qoA1bWViiKwsL5i/hmQxjds00eEPljopIgoEuuQaBdu3aUKFGCESNGMGfOHKpXr/4y62VUqrxZBYC0NO1XKqanpaMoCioTaca+jhJu3QKgbr06Wuke73iwbvV6rt+4gYvLW0waP4U9u/YwYKA/Q4YHFkVVXwvSHaRbnqHxgw8+oF27dgQFBb2s+hil+g3eoUSJEhw8cFAr/ccff6JW7VqYmcnQzevIqaoTAKdOndZKjz0Ti5mZGQ4ODiyav5g9u/YwasxICQAFJAPDuj336jJp0iTi4+NfRl2Mlo2NDf4D+/N16Aqsbaxp0KA+B/Z/T8yJGEK/Di7q6olCUrNWTZo2b8rs6XNIepiE81vOnDx+knWr1/NJr4+5Hh9P2KbNNG7SGHePepz59YxmWxMTU2rXqVWEtS9+jO3irq/nBgEbGxvpCnoJAj4biI2NDVvCtrBh7Uacqjqx6KuFvNc05+MlxOtjYdB8Qr4KZdWK1SQ9TOJNpzcZO2EMXbt34evQFSiKwrFfjnHsl2Na25UsWZJjMb8UUa2LKekO0kleNC9eKfKieaGLIV40H3PnqN5565d79/mZXhPS2SyEMAoyO0g3CQJCCKMgYwK6SRAQQhgFmSKqmwQBIYRRkJaAbrkGgZ49e+pdSFhYmEEqI4QQhUWCgG65jpS8+eabei9CCPGqM1GZ6L28qBUrVvDxxx9rpcXHxxMQEMA777xDkyZNWLBgAenp6Vp5wsLCaNmyJXXr1qV79+6cOXPG4GXkJteWwJw5c/QqQAghioPCHhMICwsjKCgIDw8PTZparcbf3x9nZ2e2bNnCtWvXmDBhAmZmZowY8fQZUJGRkSxYsIAZM2ZQo0YNVq9ezYABA9i3bx9ly5Y1SBl50fs+gTt37nDp0iUyMjK0DvDXX39l6NCh+T5hWWQ+uMhO7hMQuhjiPoHzD37VO2+N0vX0zpuQkMDUqVOJjo7G0dGR0qVLEx7+9P3gu3btYvz48URFRVGqVCkAtm/fzuzZszl69CiWlpa0atWKli1bMmbMGODpOyM+/PBDOnfuzODBgw1SRl70GhjesWMHkydPJi0tDZVK9fShZv8fVStVqlSgICCEEC9DYY0JnD17Fmtra3bu3EloaChxcXGadSdPnqRGjRqaizeAp6cnycnJnD17FicnJ65cuYKnp6dmvampKfXr1+fkyZMGKyMvegWBlStX0r59ewICAujWrRvr1q0jISGBL7/8kiFDhuhThBBCFKn8dAclJSWRlJSUI93W1hZbW1utNG9vb7y9vXWWk5CQgKOjo1aavf3TF0zdunULS0tLAJ15YmNjDVZGXvQKAteuXSM4OJiqVavi5ubGvXv38Pb2Jj09na+//pqPPvpIn2KEEKLI5KclsGHDBkJCQnKkBwYG5uuHb2pqKtbW1lppFhYWADx58oSUlBSttOx51Gq1wcrIi15BwMLCQrMDJycn/vjjD5o2bUrt2rW1mj5CCPGqys+snz59+uDr65sj/dlWwPNYWlrmuBBnfbaystL8iteVJ+tlU4YoIy96nZXatWuzZcsWAKpVq0ZUVBQAf/75J+bm8sYrIURxoNJ7sbW1pXLlyjmW/AYBR0dHEhMTtdKyPjs6OlKxYkWttOx5HBwcDFZGXvQKAkOGDCEsLIw1a9bQoUMHzp49S6tWrRg+fDgffPCBPkUIIUSRUqlUei+G0rBhQ86fP681vhAdHY21tTU1a9bEzs4OZ2dnjh8/rlmfkZFBTEwMjRo1MlgZeTGdNm3atOdlqlixIr6+vlStWhVHR0fef/99Hj16RMuWLRk6dCimpqZ6nRBd0pW052cSRsPM5GnLUr4XIrus70VBPFDf1fvNYmVKlHuhfRw6dIiHDx/SpUsX4Gn3+c6dOzl27Bhubm6cOXOGmTNn4ufnR5MmTYCn3e3BwcE4ODhgbm7OokWLuHDhArNnz6ZkyZIGKSMv8j4B8UqR+wSELoa4T+Dyowt653V+w/WF9jFu3Dji4uI09wkAxMXFMX36dE6cOIGtrS2dO3dm2LBhmJj80xGzdu1aNmzYwIMHD6hVqxYTJ06kVq1aBi0jN3oFAT8/vzzXb9y48bk7yo38sYvsJAgIXQwRBK48/lPvvFVtqhV4f8WFXrODnh1cSE9PJy4ujkuXLj03QAghxKvARL8hUKOjVxBYsGCBzvSgoCCdN1QIIcSrRt4noFuBQmOXLl3Ys2ePoeoihBCFRt9BYWN75HSBXipz8eJFinhcWQgh9CItAd30CgJZT6bL7vHjxxw9epTWrVsbvFJCCGFoxvYLX196BYGbN29qfVapVJibm+Pv70+/fv0KpWJCCGFIEgR0K/B9Ardv36Z8+fIvvL1MBRTZyRRRoYshpojeSrmmd17HklUKvL/iQq+B4Ro1anDv3r0c6Tdu3MDHx8fglRJCCMPT/9lBxiTX7qC9e/fy008/AaAoCjNnzqREiRJaeeLj4/V6Sp0QQhQ147q06y/XIODu7k5YWJhm9k98fDxmZv9kV6lUWFtby7uIhRDFhIQBXfQaE+jduzehoaH5foyqPqTvV2QnYwJCF0OMCSSm3tA7r71lxQLvr7jQa0xg06ZNnDhxgsOHD2vSJk2axA8//FBoFRNCCEOSm8V00ysIbN++nWHDhnH9+nVNmlqtZvDgwezdu7fQKieEEIYiQUA3vbqDWrdujb+/P127dtVK37p1K9988w27du164QpIs19kJ91BQhdDdAfdSb2ld95ylo7Pz/Sa0KslcPPmTRo3bpwjvUmTJly9etXglRJCCEMrijeLFQd6BYFKlSpx7NixHOkxMTHY29sbvFJCCCFeDr0eG9GzZ09mz57N1atXqVevHgCxsbFs3LiRIUOGFGoFhRDCEIytr19fej82Ys2aNaxfv57bt28DYG9vT0BAAK1ataJcuRd7HydI36/QJmMCQhdDjAncf3Jb77xlSrz4o3CKm3w/O+j+/fuYm5tz9uxZwsPD+c9//kNsbOwLV0D+2EV2EgSELoYIAg/Ud/TOW9rixX/YFjf5ep/Ao0eP2LVrF1u2bOHy5ctYWFjg6+tbWHUTQggDku4gXfQKArGxsWzZsoW9e/eSkpKCSqXCz8+PgIAA7OzsCruOQghRYBICdMs1CKSmprJ7927Cw8M5e/Ys1tbW+Pj40LZtWwYPHkzXrl0lAAghihEJA7rkGgSaNWtGZmYmzZo1IyAggBYtWmBhYQEgr5QUQhQ7xjb/X1+53ieQnp6OtbU1lpaWpKWlkZ6e/jLrJYQQBiWPjdAt15ZAVFQU+/fvJyIigsjISCwtLWnevDlt27aViCqEKIbkuqWLXlNEr1y5QkREBP/+97+5ffs2KpWKjh07MmDAAFxcXApUAZkKKLKTKaJCF0NMEX2c9lDvvDbmpQq8v+IiX/cJZGZmcuTIESIjIzly5AgZGRk0btyYdevWvXAF5I9dZCdBQOhiiCDwd3qS3nmtzQz/7pRX1Qu/aP7evXt89913REZGsmfPnheugPyxi+wkCAhdDBMEHumd19rsjQLvr7h44SBgKPLHLrKTICB0MUQQSE5/rHdeKzObAu+vuMjXHcNCCFFcyYQW3Yo8CBgiwovXj3wvhHg5irw7SAghRNHR66UyQgghXk8SBIQQwohJEBBCCCMmQUAIIYyYBAEhhDBiEgSEEMKISRAQQggjJkFACCGMmAQBIYQwYhIEnuHt7Y2bm5tmqVGjBg0aNKBv377873//M/j+4uLicHNzIzo6GoBx48bx8ccf67Wtoih899133L17N9c8mZmZLF26lKZNm1KvXj369+9PXFycQepuTF6370V2K1as0Lts8fqRIKBDnz59+Pnnn/n555/54Ycf2Lx5M5aWlvTv358bN24U6r4nTpzI8uXL9cp77Ngxxo0bR0pKSq55QkNDCQ8PZ+bMmWzduhVTU1P8/f158uSJoapsNF6n70WWsLAwgoKCClo9UYxJENChZMmSlC9fnvLly2Nvb4+rqytffvklKSkpHDx4sFD3/cYbb1C6dGm98j7vsU9qtZq1a9cSGBhI8+bNqV69OkFBQdy5c4d9+/YZorpG5XX5XgAkJCQwaNAgFi5ciLOzc0GrJ4oxCQJ6MjN7+sDVEiVKAE+7B+bOnUv79u1p1KgRP/74IwARERG0adOGOnXq0Lp1a1auXEl6erqmnAsXLuDn54e7uzs+Pj4cP35caz/PNvuvXbvGkCFDaNCgAY0aNWLIkCHcunWL6Oho+vXrB0DLli0JDg7OUefz58+TnJxM48aNNWk2NjbUrFmTkydPGujMGLfi+L0AOHv2LNbW1uzcuZN69eoZ7oSIYqfIHyVda2GvKwAAA7dJREFUHCQkJDB37lysrKxo1qyZJv2bb74hNDSUcuXK8dZbb7F582aWLFnC5MmTcXd358KFC8yYMYNr164xY8YMHj16RN++falbty7btm0jMTGRSZMm5brfR48e0bNnT1xcXFi3bh3m5ubMmDGDQYMGsW3bNpYsWcLw4cPZvn27znc9JyQkAODg4KCVbm9vz82bNw10doxXcf1ewNNg5e3tbfBzIoofCQI6rFmzho0bNwKQnp6OWq3mrbfeYsmSJVSsWFGTz8vLi+bNm2s+f/311wQEBNChQwcAqlSpglqtZuTIkYwcOZIDBw6QnJzMvHnzKFWqFK6urowbN45hw4bprMeePXt4+PAhixcvpkyZMgDMmjWLbdu2oVarKVXq6cuw7ezssLa2zrF9Vp+whYWFVrqFhQVqtfpFT4/Rel2+F0JkJ0FAh65du9K3b18ATExMKF26NG+8kfOdo05OTpr/v3fvHgkJCXz11VeEhIRo0jMzM8nMzOTKlStcuHCBKlWqaP5IATw8PHKtx4ULF3jzzTc1f+gAVatWZcyYMXodh6WlJfB0bCB7IFCr1VhZyUtb8ut1+V4IkZ0EAR1sbW21/pBzk3WRhad/1ABjx47Fy8srR14HBwd27dqVI93c3DzX8vNap48KFSoAkJiYiI3NP+9MTUxM5O233y5Q2cbodfleCJGdDAwbSNmyZSlbtixXr17FyclJs1y6dIlFixaRnp5OjRo1iIuL4969e5rtYmNjcy3TxcWFq1ev8vDhQ03a5cuXadiwIRcvXnzuO1OrV6+OjY2N1iDj48ePOXfuHI0aNSrA0Qp9vYrfCyGykyBgICqVioEDBxIWFsbGjRu5evUqhw8fZuLEicDTWTnt2rWjXLlyjBo1it9//53jx48zZ86cXMvs0KEDZcqU4YsvvuD8+fOcO3eOiRMn4uTkhIuLi6a/9/z58zx69CjH9hYWFvTq1YugoCAOHTrE77//zogRI3BwcMDHx6dwToTQ8ip+L4TIToKAAfXt25dJkyYRHh5O27ZtmTp1Kh06dGDevHkAWFlZsXHjRszNzenRowdjx45l4MCBuZZXsmRJ1qxZA8Ann3xCv379qFChAsuXL0elUlG9enW8vb0ZMWIEX331lc4yhg4dSteuXZkyZQoff/wxiqKwevXqHIPFovC8it8LIbLIi+aFEMKISUtACCGMmAQBIYQwYhIEhBDCiEkQEEIIIyZBQAghjJgEASGEMGISBIQQwohJEBBCCCMmQUAIIYzY/wGIeB0XB2REsgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9802986016874787\n",
+      "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 294 to 392\n",
+      "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
+      "Getting TEST DF for response 0 from index 170589 to 227452\n",
+      "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
+      "Oversampling is complete!\n",
+      "[[56789    74]\n",
+      " [   15    83]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.991321784152171\n",
+      "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 392 to 492\n",
+      "Getting TRAIN DF for response 1 from index 0 to 392\n",
+      "Getting TEST DF for response 0 from index 227452 to 284315\n",
+      "Getting TRAIN DF for response 0 from index 0 to 227452\n",
+      "Oversampling is complete!\n",
+      "[[56727   136]\n",
+      " [   14    86]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9748296783497177\n",
+      "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Final Results of 5 fold CV:\n",
+      "{'accuracy': 0.9979284256476415, 'sensitivity': 0.8597551020408163, 'specificity': 0.9981675254559205, 'precision': 0.45297531685554693, 'f1': 0.5918015092213355, 'auc': 0.9828850552724827, 'pr_auc': 0.7585539612669514, 'actual_accuracy': 0.9227642276422765}\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x1440 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'naive', 'RandomForest', 'Random Forest', 5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'accuracy': 0.9979284256476415,\n",
+       " 'sensitivity': 0.8597551020408163,\n",
+       " 'specificity': 0.9981675254559205,\n",
+       " 'precision': 0.45297531685554693,\n",
+       " 'f1': 0.5918015092213355,\n",
+       " 'auc': 0.9828850552724827,\n",
+       " 'pr_auc': 0.7585539612669514,\n",
+       " 'actual_accuracy': 0.9227642276422765}"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results['final']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Getting TEST DF for response 1 from index 0 to 98\n",
+      "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
+      "Getting TEST DF for response 0 from index 0 to 56863\n",
+      "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56651   212]\n",
+      " [   13    85]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9873675970924747\n",
+      "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 98 to 196\n",
+      "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
+      "Getting TEST DF for response 0 from index 56863 to 113726\n",
+      "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56635   228]\n",
+      " [   10    88]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9792484586117653\n",
+      "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 196 to 294\n",
+      "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
+      "Getting TEST DF for response 0 from index 113726 to 170589\n",
+      "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56658   205]\n",
+      " [   15    83]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9806134472148776\n",
+      "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 294 to 392\n",
+      "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
+      "Getting TEST DF for response 0 from index 170589 to 227452\n",
+      "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56702   161]\n",
+      " [   12    86]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9899037679894426\n",
+      "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 392 to 492\n",
+      "Getting TRAIN DF for response 1 from index 0 to 392\n",
+      "Getting TEST DF for response 0 from index 227452 to 284315\n",
+      "Getting TRAIN DF for response 0 from index 0 to 227452\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56608   255]\n",
+      " [   13    87]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.975719184707103\n",
+      "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Final Results of 5 fold CV:\n",
+      "{'accuracy': 0.996053473111837, 'sensitivity': 0.8719591836734694, 'specificity': 0.9962682236252043, 'precision': 0.2910869691724122, 'f1': 0.43555364325250545, 'auc': 0.9825704911231327, 'pr_auc': 0.7314811054491809, 'actual_accuracy': 0.902439024390244}\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x1440 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'smote', 'RandomForest', 'Random Forest with SMOTE Sampling', 5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'accuracy': 0.996053473111837,\n",
+       " 'sensitivity': 0.8719591836734694,\n",
+       " 'specificity': 0.9962682236252043,\n",
+       " 'precision': 0.2910869691724122,\n",
+       " 'f1': 0.43555364325250545,\n",
+       " 'auc': 0.9825704911231327,\n",
+       " 'pr_auc': 0.7314811054491809,\n",
+       " 'actual_accuracy': 0.902439024390244}"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results['final']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Getting TEST DF for response 1 from index 0 to 98\n",
+      "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
+      "Getting TEST DF for response 0 from index 0 to 56863\n",
+      "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56607   256]\n",
+      " [   13    85]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9858897342592491\n",
+      "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 98 to 196\n",
+      "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
+      "Getting TEST DF for response 0 from index 56863 to 113726\n",
+      "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56617   246]\n",
+      " [   10    88]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9756222169503717\n",
+      "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 196 to 294\n",
+      "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
+      "Getting TEST DF for response 0 from index 113726 to 170589\n",
+      "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56610   253]\n",
+      " [   15    83]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9807888598697837\n",
+      "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 294 to 392\n",
+      "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
+      "Getting TEST DF for response 0 from index 170589 to 227452\n",
+      "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56649   214]\n",
+      " [   12    86]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9862960097075426\n",
+      "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 392 to 492\n",
+      "Getting TRAIN DF for response 1 from index 0 to 392\n",
+      "Getting TEST DF for response 0 from index 227452 to 284315\n",
+      "Getting TRAIN DF for response 0 from index 0 to 227452\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56616   247]\n",
+      " [   13    87]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9686587060126972\n",
+      "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Final Results of 5 fold CV:\n",
+      "{'accuracy': 0.9955092401072057, 'sensitivity': 0.8719591836734694, 'specificity': 0.9957230536552768, 'precision': 0.2613818868337895, 'f1': 0.4020444170878908, 'auc': 0.9794511053599289, 'pr_auc': 0.7226306271232437, 'actual_accuracy': 0.8894308943089431}\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x1440 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'smote', 'RandomForestminus1', 'Random Forest with SMOTE Sampling and depth -1', 5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'accuracy': 0.9955092401072057,\n",
+       " 'sensitivity': 0.8719591836734694,\n",
+       " 'specificity': 0.9957230536552768,\n",
+       " 'precision': 0.2613818868337895,\n",
+       " 'f1': 0.4020444170878908,\n",
+       " 'auc': 0.9794511053599289,\n",
+       " 'pr_auc': 0.7226306271232437,\n",
+       " 'actual_accuracy': 0.8894308943089431}"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results['final']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Getting TEST DF for response 1 from index 0 to 98\n",
+      "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
+      "Getting TEST DF for response 0 from index 0 to 56863\n",
+      "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56577   286]\n",
+      " [   13    85]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9828284020992812\n",
+      "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 98 to 196\n",
+      "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
+      "Getting TEST DF for response 0 from index 56863 to 113726\n",
+      "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56561   302]\n",
+      " [   10    88]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC value is: 0.9735553085522057\n",
+      "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
+      "\n",
+      "\n",
+      "Getting TEST DF for response 1 from index 196 to 294\n",
+      "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
+      "Getting TEST DF for response 0 from index 113726 to 170589\n",
+      "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
+      "Oversampling is complete!\n",
+      "[[56573   290]\n",
+      " [   15    83]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7348,6 +7937,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9762985650796203\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7355,35 +7945,16 @@
       "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.026781\tvalidation_1-error:0.010411\n",
-      "[5]\tvalidation_0-error:0.011053\tvalidation_1-error:0.002967\n",
-      "[10]\tvalidation_0-error:0.002044\tvalidation_1-error:0.002616\n",
-      "[15]\tvalidation_0-error:0.000952\tvalidation_1-error:0.002879\n",
-      "[20]\tvalidation_0-error:0.000701\tvalidation_1-error:0.002317\n",
-      "[25]\tvalidation_0-error:0.000554\tvalidation_1-error:0.002054\n",
-      "[30]\tvalidation_0-error:0.00047\tvalidation_1-error:0.001633\n",
-      "[35]\tvalidation_0-error:0.000457\tvalidation_1-error:0.001527\n",
-      "[40]\tvalidation_0-error:0.000382\tvalidation_1-error:0.001404\n",
-      "[45]\tvalidation_0-error:0.000314\tvalidation_1-error:0.001229\n",
-      "[50]\tvalidation_0-error:0.00027\tvalidation_1-error:0.001106\n",
-      "[55]\tvalidation_0-error:0.000222\tvalidation_1-error:0.001018\n",
-      "[60]\tvalidation_0-error:0.000209\tvalidation_1-error:0.00093\n",
-      "[65]\tvalidation_0-error:0.000132\tvalidation_1-error:0.000843\n",
-      "[70]\tvalidation_0-error:0.000114\tvalidation_1-error:0.000737\n",
-      "[75]\tvalidation_0-error:0.000101\tvalidation_1-error:0.000685\n",
-      "[80]\tvalidation_0-error:8.1e-05\tvalidation_1-error:0.000667\n",
-      "[85]\tvalidation_0-error:6.8e-05\tvalidation_1-error:0.000614\n",
-      "[90]\tvalidation_0-error:5.7e-05\tvalidation_1-error:0.000562\n",
-      "[95]\tvalidation_0-error:4.2e-05\tvalidation_1-error:0.000527\n",
-      "[99]\tvalidation_0-error:3.5e-05\tvalidation_1-error:0.000492\n",
-      "[[56854     9]\n",
-      " [   19    79]]\n"
+      "[[56604   259]\n",
+      " [   12    86]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7395,6 +7966,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9868667513432751\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7402,35 +7974,16 @@
       "Getting TRAIN DF for response 1 from index 0 to 392\n",
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.017481\tvalidation_1-error:0.02865\n",
-      "[5]\tvalidation_0-error:0.005634\tvalidation_1-error:0.004652\n",
-      "[10]\tvalidation_0-error:0.002302\tvalidation_1-error:0.00302\n",
-      "[15]\tvalidation_0-error:0.002146\tvalidation_1-error:0.002493\n",
-      "[20]\tvalidation_0-error:0.000673\tvalidation_1-error:0.0023\n",
-      "[25]\tvalidation_0-error:0.000541\tvalidation_1-error:0.00172\n",
-      "[30]\tvalidation_0-error:0.000404\tvalidation_1-error:0.001492\n",
-      "[35]\tvalidation_0-error:0.000325\tvalidation_1-error:0.001246\n",
-      "[40]\tvalidation_0-error:0.00024\tvalidation_1-error:0.001106\n",
-      "[45]\tvalidation_0-error:0.000189\tvalidation_1-error:0.000983\n",
-      "[50]\tvalidation_0-error:0.000176\tvalidation_1-error:0.000966\n",
-      "[55]\tvalidation_0-error:0.000158\tvalidation_1-error:0.000913\n",
-      "[60]\tvalidation_0-error:0.000141\tvalidation_1-error:0.000913\n",
-      "[65]\tvalidation_0-error:0.000125\tvalidation_1-error:0.000843\n",
-      "[70]\tvalidation_0-error:0.000108\tvalidation_1-error:0.000755\n",
-      "[75]\tvalidation_0-error:0.000106\tvalidation_1-error:0.00072\n",
-      "[80]\tvalidation_0-error:7.9e-05\tvalidation_1-error:0.000632\n",
-      "[85]\tvalidation_0-error:6.8e-05\tvalidation_1-error:0.000579\n",
-      "[90]\tvalidation_0-error:6.6e-05\tvalidation_1-error:0.000579\n",
-      "[95]\tvalidation_0-error:6.2e-05\tvalidation_1-error:0.000544\n",
-      "[99]\tvalidation_0-error:5.3e-05\tvalidation_1-error:0.000544\n",
-      "[[56848    15]\n",
-      " [   16    84]]\n"
+      "[[56572   291]\n",
+      " [   13    87]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi4AAAERCAYAAABcjiw6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdeVxN+f/A8VerVEKkbCNbIRJKhmzZw4wYyzDWGIws2fc1+xIqxr5mnzTWsQzGMJQMwxhbBoNJ2bOkq5zfH/26X9ctFaW57vs5j/t4zP2cz/nc9zmdc7zv5/M55xooiqIghBBCCKEDDHM6ACGEEEKIjJLERQghhBA6QxIXIYQQQugMSVyEEEIIoTMkcRFCCCGEzpDE5RMgN4aJ/4qPcSzK8S7Ex/FfPdcynLhcuHCBkSNH4unpibOzM56enowcOZK///4724KLiIigefPmVKxYES8vryxrNzAwEEdHRxITE7OszbSEhobi6OiIo6Mjly5dSrXOlStX1HVu376dqfa3bt3KtGnT0q3n6enJ0KFDM9X227Lr75Fi5MiR6v3w5qtKlSo0b96coKAgkpKSsvxz0xIeHo6joyO//fbbR/vMN92+fTvV/ZHyqlWrVo7ElZq7d+/Sp08fbt26lWVtvr3/4+LiGDlyJCdPnlTX+ZDjOioqiiFDhuDh4UHFihWpVasW/fv358yZMxr1Uq4XTk5OPHr0KNW2Dh06pP67vC06OpopU6bQqFEjKlWqRK1atfDx8WHfvn0a9d68Vrzrdfv27XSPDUdHRwIDA9+5/Y8fP2bmzJk0adKESpUq4ebmRufOndmxY8d/7h+st6/ZI0eOpE6dOjkcVdZ43+tMyjGwdevWLI8pq8+11Fy7dg1fX188PDxwdXWlY8eOnDhxIkPrGmek0qZNm5gyZQpVq1alf//+2NracuvWLdasWUObNm1Yvnw51apV+6CNSM2MGTOIj48nODiYfPnyZVm7bdq04fPPP8fYOEObnyUMDQ3Zu3cv5cqV01q2a9eu92538eLFVK1aNd16CxYswNLS8r0/B7Lv7/Ema2trrQvu48eP2bNnD4GBgSQkJDBkyJBs+ez/ql69elGvXj2tclNT048fTBp+++03Dh8+zKhRo7KszQoVKhASEqJOBi5evMj27dv54osvPrjtq1ev0r59eypUqMDw4cOxsbHh3r17bN68mU6dOhEcHEz9+vU11nn9+jUHDhygXbt2Wu3t3r071c85efIkvr6+5M+fn06dOuHo6MiTJ084cOAAAwcOpHnz5sycORNjY2Pq1q1LSEiIet1ff/2V77//noCAAAoVKqQuL1SoELGxsUDaxwZAkSJF0tz+ly9f0qlTJxISEujevTv29vY8f/6cI0eOMGzYMC5fvsywYcPSXD+n9enTh44dO+Z0GJ+srDzXUhMTE0PHjh0pUqQIo0ePxszMjC1bttC9e3e+//77NI/pFOn+y3327FkmT55Mhw4dGD9+vMayZs2a8dVXXzF8+HD279+PkZHRB23M2x4/fkyVKlWoW7dulrZbpEiRd57U2aFatWr89NNP+Pn5aS3bvXs3FSpU4K+//sq2z69UqdIHt5Fdf483mZiY4OrqqlXesGFD7ty5w7Zt2/QucSlRokSq++RTlydPnmzb7lWrVmFpacnKlSs1EsCmTZvSunVr5s2bp5W4VKtWjb1792olLvHx8Rw6dEjrHI6JiWHAgAFUrFiRxYsXkzt3bo3PqV+/PkOGDOGzzz5j4MCBFChQgAIFCqjr/PPPPwA4OTlRokSJVLfjfY+Nn376iaioKHbv3k2ZMmXU5Y0bN8bIyIhVq1bRvXt3ChYsmOm2PwZ7e/ucDkF8gA0bNqBSqVixYgXW1tYA1K1bly+++IJly5alm7ikO1S0fPly8uTJk2r2bWVlxciRI2nRogVxcXHq8j179tCmTRuqVKlCzZo1GTdunEYXa2BgII0aNeLYsWN4e3tTqVIlPD09Wb16NfC/LrA7d+6wa9cuHB0dCQ0NVXel3rx5UyOOr7/+ms6dO6vfX7x4kR49euDm5oaLiwsdO3bk+PHjGp//9lDRh8acnmbNmnHjxg2t5OTs2bPcvXuXpk2baq1z8OBBOnXqRJUqVahYsSJNmzZl3bp16uUp+2jnzp3qb6UpcS5duhR3d3dq1qzJ3bt3Nbr5ZsyYgaOjo8Y+OXjwII6OjqluT1p/D4AbN24wYMAAPDw8qFy5Mt988w2nTp3SWnft2rW0bNmSypUrs3bt2gzts7el1mO0detWWrdujYuLC87Oznz55Zfs2bNHvTylGzYiIoJvv/0WFxcX3N3dGT9+PPHx8ep6iqKwbNkyGjRogLOzM927dycmJkbr8zK6vXv37sXX1xcXFxc+//xzgoKCePHiBRMmTKB69eq4u7szduxYEhIS3mtfvC02NpbRo0dTr149nJ2dad26NQcPHtSo4+joyKJFi2jfvj3Ozs7MnDkTSB7mGTJkCO7u7uptOnv2rMa6J06coEOHDlSpUoVq1arh4+PDn3/+CSQfcyk9LY0bN051iCLl+Dp37py6bP/+/Tg6OrJy5Up12YMHDyhXrhy7d+/W6EIPDQ2lS5cuAHTv3p2RI0eq10lKSiIgIAAPDw+cnZ35+uuvuXDhwjv314MHDzAwMNAqNzU1ZdiwYbRt21ZrWbNmzQgPD+fhw4ca5YcOHcLU1JSaNWtqlK9du5Znz54xdepUjaQlRYsWLWjatCmrVq3i+fPn74w3qz148CDNZV27dtX6gnXq1Cl8fHxwc3OjYsWKeHp6snDhQo2hW0dHR0JCQhg1ahTVqlXDzc2NyZMnk5CQQEBAALVq1cLV1ZUBAwZoXFs9PT2ZO3cuM2bMoHr16lSvXp2hQ4emOSwH2kNFnp6eBAYGEhAQQO3atXF2dqZjx47qYzTFkSNHaN26Nc7OzjRp0oS9e/fSqFGjdIfVPvZ1JjXbtm2jWbNmODs707ZtW6KiorTqPHnyhAkTJlCrVi0qVapE69at+eWXXzTqpLe/s/pcS02xYsXo1q2bOmkBMDIyomTJkurexHd5Z+KiKAq//vorn3/+eaonHiTvBD8/P/Lnzw/AokWL8PPzo0KFCgQEBNC3b1/27dtHly5dNP6A9+/fZ8yYMXz11VcsXrwYJycnpk+fzvHjxylUqBAhISHY2Njg4eFBSEhIhr/lP3v2jO7du5MrVy5mz57N/PnzMTExoXfv3mmOv2dFzOn5/PPPsba2Zu/evRrlu3btUi9705EjR+jXrx9ly5YlMDCQ+fPnU7RoUfz9/YmMjATQ2kcpoqOjCQsLY9asWQwdOhQ7OzuNtv38/ChdurT6pHrw4AHjxo3Dw8ODrl27asWe1t8jKiqK1q1bc+PGDUaMGMGsWbMA6Natm9ZY5ezZs+nQoQMzZ85M92+ZmJiofqlUKu7evcvSpUs5fvw4rVq1UtcLCQlh3Lhx1K1bl0WLFjFjxgyMjY0ZOnQod+7c0Whz0KBBlCtXjqCgIDp27MjmzZv5/vvv1cvnzZvHvHnzaNasGYGBgZQuXZoxY8ZotJGZ7R0/fjyfffYZQUFB1KhRg8DAQNq2bYtKpWL27Nl89dVXbN26lTVr1rxzX0DyEMWb+yTlleL+/ft89dVX6mGJgIAAihQpQr9+/di+fbtGW4sWLcLDw4P58+fTvHlzHj16RIcOHThz5gzDhw9nzpw5GBkZ0aVLF/VF/59//qFPnz6UKlWKwMBApk+fzoMHD+jRowfPnj2jTZs29OnTB4CAgADatGmjtQ21atUiV65cGuP4Kf8fHh6uLvv1118xMjKidu3aGuvXrVuXsWPHAjBq1Cj15wHs27ePM2fOMHnyZPz9/bl16xZ9+vR553woT09P7t69S/v27QkJCeHatWsan5Vy4X5TkyZNMDQ0ZP/+/Rrlu3btomnTplpDz0ePHqVcuXIULVo0zThatGhBfHz8e8+jSuvYSG/+Xp06dTA2NqZbt24EBQXxxx9/8OrVKwDKlClDr1691L0tly5dolu3blhYWDBnzhyCgoKoUqUKwcHBWsPc8+bNA5KHpr/88ktCQkJo3bo1ly9fxt/fnz59+nDgwAECAgI01tu8eTMRERFMmTIFPz8/fvnlF3x8fHj9+nWG98W6des4e/YsEyZMYPr06dy5c4f+/furj4OTJ0/y3XffUahQIebPn8/XX3/NmDFjiI6Ofme7H/s6k5pNmzYxZswYXF1dCQwMpE6dOlrJpUqlolu3bvz000/07duXBQsWULx4cfr06cOhQ4c06r5rf2f1uZaatm3bMnDgQI2yuLg4Tp06hYODQ/oNKO/w4MEDxcHBQZk9e/a7qqk9fvxYqVixojJy5EiN8vDwcMXBwUFZs2aNoiiKsnDhQsXBwUE5cuSIus6LFy8UJycnZfLkyeqy+vXrK0OGDFG//+GHHxQHBwflxo0bGu136NBB+eabbxRFUZSzZ88qDg4OyunTpzW2Y9q0acqVK1c0Pv/Vq1dZHvPb3ox5woQJSsOGDdXLEhMTlVq1ainbt29XtmzZojg4OCi3bt1SFEVRlixZovj5+Wm09fDhQ8XBwUEJDg5Ocx+lFmdq9c6dO6dUqFBBmTNnjtKvXz/F3d1diY2NTXM7Umtj4MCBipubm/LkyRN1mUqlUho3bqy0atVKURRFuXXrluLg4KAMHDjwnW0riqKMGDFCcXBwSPVVv359ZdGiRYpKpVLXnzp1qjJ16lSNNs6fP684ODgoYWFhiqIoysmTJxUHBwdl5syZGvW+/vprpUWLFoqiKMrTp08VJycnZcqUKRp1Ro8erTg4OCjHjx/P9Pb269dPXScmJkZxcHBQ2rZtq9G+l5eX0rt37zT3R0pbab1evnypKIqizJo1S3FyctI6Lzp37qzUqFFDefXqlaIoiuLg4KB89dVXGnXmzZunODk5KdevX9fYJi8vL6VHjx6KoijK7t27FQcHB+Xu3bvqOlFRUcrMmTOV6OhoRVHSPjff5OPjoz5PFUVRGjdurLRu3VqpWrWqkpiYqCiKovj5+SmdO3dWFOV/f7uU/f/2e0VJPiZr1aql3heKoighISGKg4ODcunSpTRjURRFCQwMVCpXrqzen+7u7sqgQYOUEydOaNR783rRs2dPpUuXLupljx8/VpycnJSIiAhl3rx5ioODg3qZi4uLMmDAgHfGcOnSJcXBwUFZtWqV1rJ37dP0jg0HBwfl2bNn7/zsgwcPKh4eHur6zs7OSvfu3ZUffvhB/fdQFEUJDQ1VunbtqlGWlJSkVKtWTRk9erS6zMHBQX0eKIqivHr1SnFxcVHq1q2rJCQkqMt79eqlPvcUJflv6OrqqnFe7du3T3FwcFB+/vlnRVE0/waKknytqF27tkYbtWvX1rg+pFxTz58/ryiKonTs2FFp0aKFkpSUpK6zY8cOxcHBQVm4cGGa++ljX2fe9vr1a6VWrVpKnz59NMqDg4MVBwcHZcuWLRrbGx4erlGvR48eSuPGjdXvM7K/s/pcS09iYqLSv39/pUKFCsoff/yRbv13znFJmbOS0Wzq7NmzqFQqWrZsqVFevXp1ihYtSkREhMY3mTcn9ObOnZt8+fLx4sWLDH1WWsqWLYuNjQ19+/bFy8sLDw8P3N3d05w0+DFj9vLyYuPGjfz5559UrFiR8PBwnj59SsOGDbV6Yr799lsgeRLdjRs3uHHjBufPnweSM+v0pHZ3w5sqVapE7969Wbx4Ma9fv2bRokXY2NhkaDtSREREUKdOHaysrNRlJiYmtGjRgqCgIJ4+faouz1AWDRQoUIAlS5YAyb1ny5cv5/z584wfP15r3HP06NHqetevX+fmzZvqno+399Hbk8cLFy6s7qI9c+YMr169olGjRhp1WrRowbZt295re9/8vJSJlS4uLhrt58+fnydPnqSzR6Bv3740aNBAqzxlbkZERASVKlXSmgfRqlUrRo0aRVRUlHpS+Nt/h5MnT+Lg4ECxYsXU39INDAyoX78+q1evRqVS4eLigrm5Oe3atVOfU66urgwfPjzd2N9Uv359pk+fTnx8PI8fP+bGjRsEBwfTr18/Lly4gJOTE8ePH6dv376Zardy5crkypVL/f6zzz4D0Bi+To2vry/dunXj+PHjnDx5koiICPbs2cOePXvo0aMHI0aM0FrHy8uLMWPG8ODBAwoUKMD+/fspWLAgrq6uHDt2TKOuoijp3gCQslx5z7t40jo2gDR7yVM0aNCAunXrEhkZyYkTJ4iIiCA8PJzjx48TGhrK8uXLMTMzw9vbG29vb1QqFdevX1cPeSclJb3zPDM2NiZ//vyUL19eYx5R/vz5te6wrF+/vsZ51bBhQ4yNjTl16hSenp4Z2hfOzs6YmJio3xcuXBhInoOkUqk4c+YMffv2xdDwfwMNzZo10xgKSc3Hvs687fr169y7d09rvZYtW7JgwQL1+xMnTpA/f36qVq2q0ePWsGFDJk6cyJ07d9S9f++7vzN7riUmJmrlD2+uD8n7cPjw4ezbt49Jkybh7Oyc5ueneOdZlTdvXiwsLLS6w96UkJBAXFwcNjY26otwahO6ChYsqLVxZmZmGu8NDQ0/+DY8c3NzNm7cyJIlS9i3bx8bNmzA1NSUxo0bM3HiRPLkyaNR/2PG7Orqiq2tLXv37qVixYrs2rWLevXqpTp349GjR0yaNIkDBw6gKIrGJLyMfF5GJtV5e3uzaNEi8ubNi5ubW4a24U1PnjxJNdlJ+ew3/yHPaFJkbGysMZHY1dWVLl264Ovry5o1azQuDLdu3WLixIkcP34cY2NjSpcunWbC9vZF3MDAQL0fHz9+DKA1XPfmnRyQue21sLDIUAwZUbRo0XdOrn7y5Emqd6ulFtfbx8WjR4+4efMmTk5Oqbb96NEjihQpwoYNG1i2bBnbtm1j5cqVmJub07p1a0aMGJHhu5vq16/P5MmTOXXqFPfu3aNQoUI0aNCAggULEhERQWJiIo8fP87wP1Qp3t6vKf8wZWSYwdLSkiZNmtCkSRMA/v77b8aOHcvKlSvx9vbWSvQaNWrE+PHj2bdvHx07dmTXrl14eXml+rcsVqzYO6+dgHr4+n1vFkjv2EiPsbExNWrUoEaNGkDy33v+/Pls2rSJbdu28c0335CQkMDUqVMJCwtDpVJRvHhxqlSpgrGxsda16H2Pe1tbW433hoaGGU7sU6R2bYbk4+Dx48ckJSVpnePGxsbp3iH5sa8zb8voeo8ePeLRo0dpnssxMTHqxOV993dmz7XFixcTFBSkUXb58mX1/z98+JDvvvuOc+fOMWnSJDp06PDOz0+R7l1FHh4ehIeH8/LlS60DA2Dv3r2MGDGCpUuXkjdvXiB5zP3tEz42NpbKlStnKKi0pBzwb2dwz5490zj4ihcvjr+/P4qicOnSJfbs2cOKFSvImzev1p1R2R3zmwwNDWnatCk//fQTAwcO5MCBA2k+g2XIkCFcu3aNVatW4eLigqmpKfHx8WzZsiVLYlEUhfHjx1O4cGGeP3/O5MmTmTNnTqbayJs3L/fu3dMqT5lclS9fPq2JjJllYmLCjBkzaNmyJSNGjGD37t3kypWL169f06tXL0xMTNi2bRvlypXD2NiYqKgofvzxx0x9RsoF4f79+5QtW1Zd/vbkwMxsb0aTkqyQXlwp889SkydPHqpVq5Zmj2TKuuXLl2fevHkkJSVx7tw5tm/fzvr16ylSpAg+Pj4ZirNIkSI4ODjw22+/8fDhQ9zd3TEwMKB69epERETw7NkzSpcurf4Wl13u3r2Lt7c3vr6+dOrUSWNZqVKlGD16NG3atCEqKkrrmmBpaUmdOnXUkzojIiJS7ZmB5B6N5cuXc/v2bYoVK5Zqnb1792JmZvbRn8nTtm1bPvvsM+bOnatRnj9/fiZMmMCuXbvUkz/9/f3Zs2cPAQEBfP7555ibmwPJ8/ayytvnWlJSEo8ePdK4y+pDFChQABMTE+7fv6/1OSmJQWpy4jqT1npvn+Nvr5cnTx6KFy+uNX8oRcmSJdNcN6v3d4p27dqleYfQzZs38fHx4f79+wQGBqbZc5iadO8q6tGjB0+ePEn1H7XHjx8THByMnZ0dtWrVonLlypiamrJz506NeqdOnSI6OvqDn/WS0jPx5mSqe/fucf36dfX7n376iRo1ahAbG4uBgQHly5dnyJAhlCpVKtVvP9kd89u8vLy4ffs2S5cuRVGUNCeqnj59moYNG1K9enX1N9qU2eFvfst5s9szM0JCQvjtt9+YMmUKw4YNY+fOnVoPxEqPm5sbR48e1eiVSkxMZM+ePVSoUEF9gftQJUqU4Ntvv+XWrVssXboUSD7xrl+/jre3NxUrVlR3uafso8xM6qtSpQq5c+fWehbHzz//rPH+Y21vZrm5uXH+/Hn17bMpduzYgbW1tcYF623Vq1fn+vXrlChRgkqVKqlfe/bsYfXq1ZiYmLB69Wrq169PQkICRkZGVKlShUmTJmFubq4+pzJ6HNarV4/ffvuN06dPq7/l16hRg8jISA4fPvzO3pasetyCjY0NZmZmbNiwIdW7eVL+wU5reNPLy4vIyEg2bNiAvb09FSpUSLVe586dyZMnDyNHjkx1OHn//v38+OOPdOnS5YOfsZRZJUqU4MCBAxqTklP8+++/xMfHq7f/9OnTuLm50aBBA/Uxfv78eR4+fJhlD6o7evSoxh12Bw4cIDExMcuSIyMjI6pWrcrBgwc1Yv7555/fOZE5J64zb7O3t6do0aIadzEBWncNuru7c/fuXfLly6dxLkdGRhIcHKxxjqa3v7PqXLO1tdWIJaV38OHDh3Tt2pVnz56xbt26TCUtkIEeFxcXFwYNGkRAQAB///03X375JQULFiQqKoo1a9bw6NEj1q5dq+5y+/bbbwkKCsLExIQGDRpw+/ZtFi5cSMmSJVO92yAzUrL9GTNmMHDgQFQqFUuWLNEY/qlatSqKotCnTx969uxJ3rx5+fXXX7l69So9e/bUajO7Y36bi4sLRYsW5fvvv6dly5ZpdrM7Ozuza9cunJycsLOz4/fff2f58uUYGBhoXAStrKy4fPkyJ06cwN3dPUMx3Lx5kzlz5uDt7Y2HhwcAO3fuZMKECbi6umY46/b19eXo0aN88803fPvtt+TKlYt169Zx69Yt9TyVrNKrVy/CwsJYtmwZrVq1onjx4hQtWpQNGzZgZ2eHlZUVx44dY/369QAad4Olx9zcnP79+zNr1izMzMyoXbs2p0+fZvPmzTm2vZnRvXt3duzYQbdu3fjuu++wtrYmLCyM8PBw/P3933kRSlm3S5cudO/enQIFCnDw4EE2btzIwIEDMTAwoEaNGsydO5c+ffrQqVMnTE1N2bVrFy9fvlTfxp8yXn7gwAEaN26cZq9JvXr11MlnyvFao0YNnj9/zqVLl7R6RN+Ucp4fPXoUGxsbjW+tmWFkZMTEiRPp168frVu3pmPHjpQtW5ZXr14RHh5OSEgIX3/9tcbzTd7k6emJmZkZy5Yt07jj4m0FCxYkMDAQX19fWrVqRefOnSlTpgzPnz/n559/JiwsjCZNmmjdXZEZN2/eVN9l+DZLS8tUhxAh+e6X8PBw2rdvT6dOnahatSqmpqZcvHiRNWvWUK5cOVq3bg0kf7nbvXs369evp3Tp0ly6dIklS5ZoXYs+xL179+jVqxddu3bl7t27BAQEULNmTa1bzD/EgAED6Ny5M/369eOrr74iOjpafRt0Wj2kBQoU+OjXmdQMGzYMPz8/hgwZQsuWLbl69SrLly/XqOPt7U1ISAjdu3fn22+/pVixYoSHh7Ns2TK8vb01vlilt7+z6lxLy8yZM4mOjmbo0KEkJCRoHMOmpqbpznPJ0KNj+/Tpg5OTEyEhIcydO5dHjx5hZ2dHjRo16Nu3L8WLF1fX7d+/PwULFmT9+vWEhoaSL18+mjZtip+fX6rjn5lhaWlJcHAwc+bMYdCgQdjZ2dGjRw8uXLig/rZZqFAhVq5cyfz585k8eTLPnz+nZMmSTJs2TeNW2jdlZ8yp8fLyYtmyZVoTgt80Y8YMpkyZoh5Ksre3Z+LEiezZs4fTp0+r6/Xu3ZsJEybw3XffafUapeb169eMGDECCwsLjUlp/v7+tGzZknHjxrFo0aIMbUfZsmXZsGED8+bNY9y4cUBywrVmzZr3mjPzLrly5WL06NH07duX6dOns2jRIhYtWsTUqVMZM2YMpqamlClThuDgYGbNmkVkZCTdunXLcPs+Pj5YWFiwatUqNm/eTIUKFZg6dSqDBg3Kke3NDBsbGzZu3MjcuXOZNWsWCQkJODo6EhQUpDWh722FChVi06ZNzJs3j2nTpvHy5Us+++wzJkyYoH4yably5Vi6dCnBwcGMGjUKlUqFo6MjwcHBVK9eHUj+UpFym/WtW7eYNGlSqp9XpUoV8ufPj7m5ufq6UaJECYoUKUJ8fDxVqlRJM9ayZcuqb7G9du0ay5Yte5/dBSTf8rxt2zaWLVvG6tWruX//PsbGxjg6OjJ+/Hj1P9qpyZ07N/Xq1WPPnj20aNHinZ/j5uZGWFgYa9euJSQkhOjoaCwsLChfvjwBAQGpPr8pM5YtW5bmfqhcuXKaQ8vFihUjLCyMpUuXcuDAAdauXUtSUhLFihWjTZs29OzZUz01YMSIEahUKgIDA1GpVBQrVow+ffpw/fp19Tf1D30KedOmTSlUqBDDhg0jd+7ceHt7M3jw4A9q820ptxIvWLCAAQMGUKxYMSZOnMjAgQPfeZ3/2NeZ1DRr1gxDQ0OCg4Pp378/9vb2zJ49m169eqnrmJubs379egICAliwYAFxcXEUKVKE/v37a9SD9Pd3Vp5rb1MURf1IgdRGcmxtbTl69Og72zBQsqqvTwghhMgkT09Pqlatmuk5dpm1f/9+ChcurDGZ+cqVK7Rs2ZLvv/9e60nJn6qPtb+z08f7sR4hhBAih5w8eZJdu3YxePBg7O3tiYmJYcmSJZQpU+Y/9YOlIn2SuAghhPjkjRgxgly5crF06VJiY2PJly8fdevWZciQIf+pHywV6ZOhIiGEEELojPe7l1YIIYQQIgdI4iKEEEIInSFzXIQQQugUg0apP4k4NcqB29kYicgJkriILHRP8XgAACAASURBVJGZC4n49KX8YxGfpP1kWqG/chtl0XOxPuJPaoj/HklchBBC6BaZ5KDXJHERQgihW6THRa9J4iKEEEK3SN6i1yRxEUIIoVuMJHPRZ5K4CCGE0C0yVKTXJHERQgihWyRv0WuSuAghhNAthpK56DNJXIQQQugWyVv0miQuQgghdIvMcdFrkrgIIYTQLXJXkV6TxEUIIYRukbxFr0niIoQQQrfIUJFek8RFCCGEbpG7ivSaJC5CCCF0i+Qtek0SFyGEELpFelz0miQuQgghdIskLnpNEhchhBC6RfIWvSaJixBCCN0idxXpNcOcDkAIIYTIFMNMvDLh77//xtHRUeu1detWAC5evEjnzp1xcXGhXr16rFixQmP9169fs3DhQmrXrk3lypXp0aMHN2/e1KiTFW3oO0lchBBC6BYDg4y/MuHy5ctYWlpy7NgxjVfLli15+PAh3bp1o0SJEvzwww8MHDiQhQsXsmXLFvX6wcHBbNy4EX9/fzZv3oyRkRE+Pj4kJCQAZEkbQoaKhBBC6Jpsmpx75coVSpcujY2Njday1atXY2JiwsSJEzE2NqZ06dLcvHmTpUuX0q5dO1QqFStXrmTo0KHUrVsXgICAADw8PNi7dy+tWrViy5YtH9yGkB4XIYQQuiabhoouX75M6dKlU10WGRmJq6srxsb/+77v7u7OrVu3iImJ4eLFi7x48YIaNWqol1taWlKhQgUiIyOzrA0hPS5CCCF0TSaGgOLi4oiLi9Mqt7KywsrKSqPsypUrlChRgg4dOvDPP/9gb2/Pd999h4eHBzExMZQpU0ajfqFChQCIjo4mNjYWAFtbW6060dHRAFnShpDERQghhK7JxEjRmjVrCAoK0ir39fWlf//+6vcvXrzg9u3bWFtbM2TIECwsLNixYwc9e/Zk5cqVvHz5ElNTU402Ut4nJCQQHx+vUfZmHZVKBZAlbQhJXIQQQuiaTMxx6dq1K97e3lrlb/e2mJubc/r0aUxMTNSJQ8WKFbl27RrLly/HzMxMK3lIeW9ubo6ZmZm67M3EQ6VSYW5uDpAlbQhJXIQQQuiaTAwVpTYklBYLCwutMgcHBw4fPkzx4sXVQzkpUt7b2dmhKIq6zNLSUqNOyvCQnZ3dB7chZHKuEEIIHWNgaJDhV0adOXOGKlWqcO7cOY3yP//8k7Jly+Lm5sbp06dJTExULzt58iT29vbY2NhQrlw5LC0tiYiIUC9/9uwZf/31F9WrVwfIkjaEJC5CCCF0jIGBQYZfGVWxYkWKFSvGuHHjOH36NNeuXcPf358zZ87Qt29f2rRpQ3x8PKNHjyYqKoqwsDBWr15N7969geR5KN988w0BAQEcPHiQS5cu4efnh62tLY0bNwbIkjYEGCgpfVNCfACDRsVyOgTxH6IcuA1AfNLzHI5E/JfkNtIeinkfxn6VM1w3MeCPDNeNiYlh7ty5HD9+nLi4OJycnBg8eLC6t+P8+fNMnTqVCxcuYGNjQ7du3ejSpYt6/aSkJAICAggNDSU+Pp5q1aoxYcIEihcvrq6TFW3oO0lcRJaQxEW8SRIXkZqsSlxMB7tkuK5q3tks+Uzx3yGTc4UQQuiUzAwBiU+PJC5CCCF0iqGhTM/UZ5K4CCGE0CnS4aLfJHERQgihU2SoSL9J4iKEEEKnSOKi3yRxEUIIoVMMMvNjReKTI4mLEEIInSI9LvpNEhchhBA6xSgTj/IXnx5JXIQQQugU6XHRb5K4CCGE0CmSuOg3SVyEEELoFMlb9JskLkIIIXSK9LjoN0lchBBC6BRJXPSbJC5CCCF0ivxWkX6TxEUIIYROkQ4X/SZpq9Br1nnyoRy4rfXaOm6Juk77el9wbulB4ndHcWX1r/h+2V2jjTa1m6faRr8vuwGwati8VJcrB25zaPYWdTvlPyvLjsmriN36B7Fb/2D7xOWUKlzio+wHkTlJSUmsW70e7xatqVGtJq1btGFTyCYURQHg4YOHjB4+hto16lK7Rl2GDhrGnTv/ptne7Blz6N93wMcKX+cZGBhk+CU+PdLjIvRa5dIVAGg8siNxL56pyx/EPQKgXd2WbBgVxNxtSxm46BANqngQ6DuFuBdPWXtgGwDOpcpz9c51Os8cqNH29eh/AJiyfgHf71qvsaye8+fM6DmK5Xs3AmCTrwBH5mwl6t8b+MwbiqGBIeO/GcTReT/g1NOTJ8/jsmcHiPeydPEyVi1fTa8+PXGuXInfT59h9oy5xL98yTedO/Ftjz48uH+fgYMHULiwHRvWb6Jbp+5sDdtMvnz5NNraFLKJkLUbqF3XI4e2RvdIQqLfJHERes25ZHnuPozlwOmjqS6f1WsMi3auZfgyfwAOn/0Ne9viNKpa53+JS8lynL5yjvCLv6faxt/RN/k7+qb6fR5zS7aMXcya/VvZcGg7AF0btcXMNBfNx3bl8bMnAJy8+Du3N56io2crFu9cm2XbLD7M69evWb8mhK49utCrT08A3D9359GjR6xdtY7ixYsTdTWKRUuDqOlREwA3dze+9PJm1fLV+A0dBCT3ysyfu4BdO3Zjmccyx7ZHFxlK4qLXZKhI6DXnUuU5d/1iqsuqOThTwrYYS3eHaJR/M6M/nWf+r1v/XW2kZlQHX6zMLRn2/8kQwD+xd5izbYk6aQGIeXSPuOfPKGn3WYbbFtnv2dNntPiyOQ0aemqU29vb8+jhI67/fR0jIyOq16iuXmZqaopTRSd+O/abumz50hWc+f0si5YG41jO8aPF/ykwNDTI8Et8eqTHRU88fPiQzZs3ExkZSXR0NAkJCZibm2NnZ0f16tVp27atVhe2PnAuVZ6XqgSOzw+jatmK3H/yiIVhK5m9ZTHOJcsDYGxkxJG52/i8fFViHt1n+qYgdQ+IhZk59rbFqVKmIpdXHaWkXXEu/hPFyBXT2RtxSOvzbPPbMKh1TyavD+De4wfq8i2/7NSqW9PJFWurfFy6FZVNWy/eh1VeK0aNHalV/suRo9ja2VKkSGGSkpK4F3uPwkUKq5f/e+cO/96JVr9v16Etg4f5YWxszLIlyz9K7J8K+XVo/SaJix44f/48PXv2xMLCAldXV8qXL4+pqSkqlYrY2Fg2btzIypUrWbVqFeXKlcvpcD8aAwMDKnzmwPOXLxi6dAr/xP6LV3VPpvcYiZlpLhJeqUhMSmTH5FUs2rmGSevm4V2rGYsGTONB3CO2/LIT51LlMTQ0pKRdcQZ/P4nEpCS++6ILOyevouGIrznyx28an9mnRWcSkxJZvHPdO2OzMs/DkoEz+Cf2DhsPh2XnbhBZIHTbdsJPhDNi9HBq1q5J/vz5GDtyHGMmjMa6gDUb128i6uo1EhMT1evYl7TPsXh1ncxx0W+SuOiBqVOn4unpydSpU1N9/sHr168ZM2YM/v7+rF+/PpUWPk0GBga0GNeVf2L/5dq/NwA48sdvWOY2Z0S775i+KQhjI2OW7glh+sYgIHmOS0m74kzo7MeWX3by182reI3pwrE/I3j6/5N7D/x+lD++38/YTgO0Epeezb5mzYFt75xsm9fCir3T1lHS7jM8h7cnPuFl9uwAkSV279zD1EnTaNi4IR06tcfAwIB5C+cyZuQ4Wrf8CoA69WrT+itvdoRp96yJzJPERb/JHBc9cPHiRXr27JnmQ5sMDQ3p2bMnFy5c+MiR5azXr19z+Oxv6qQlxU+njmCR21zj/ZsO/P4rDsVKYWJswpPnceyNOKROWlLaPfD7r1QuVUFjPTdHF4rZFGbT4R/TjKlowcL8GhBKpZLl+GJCdyIunXn/DRTZbt2a9YwdOY7adWszfdZU9T+oVapVYff+nezat4N9h39i4aIFvHjxgrx5rXI44k+DgUHGX+LTI4mLHrCxseHy5cvvrHPu3Dm9m+NSuIAtvbw6UTCvtUZ57lxmANyIuQ2AqbGJxnITI2MMMOD169e4lHbCp9nXWm3nzmXG/ScPNcqautXj7sNYjl84lWo8pYvY89uCMIoUsKXhiK85dOb4e2+byH4LAwKZO3Mezb9ozpz5szAxTT5OHj16xI/bdxD/Ip5ixYtha1sIgKtXrsok3Cwiz3HRbzJUpAe6d+/OmDFjuHjxItWrV8fOzk5jjktERARr1qxh0KBBOR3qR5XLxJSlfjOxMMvN/ND/TY5sU9uLy7eusePEfuITXtK2bguNZKO5ewNOXfmDpNdJuJRxYvng2Zy+co6z15J7rMxMzfCq7sneiMMan1fd0YWIy2dTjSWvhRX7Z4RgYmRMbb/WXPznajZsscgqIes2sHLZKjp2/pphI4dq/AP56lUiE8ZMxNLSggaNGgDwx9k/uPjXJdp2aJtTIX9S5JH/+k0SFz3QqVMncufOzZIlS1i2bJnGRVZRFEqWLMmYMWNo21a/Lqo37t5iw6EwpnQbxmtF4eI/V2lbpwVtPLxoNdGHpy+eMW1jIBM7Dybu+VN+OXeS9vW+oK5zDbzGdAFg6y+7GNXBl63jljBm1UziVS8Z1rYPlmYW+G9YoPF5Fe0d2Xp0d6qxTOo6hFKFSzBw0QSsLPLgXr6qetndh7Hc/P/eH5Hz7t27x4K5CynrUIamXk04f+68xvIKThWoV78uc2cFYGBgwKtXr5g9fS4Ojg60/KJFDkX9aZGOFP1moKQ8o1rohQcPHhATE0N8fDxmZmYULlwYa2vr9FdMh0GjYlkQ3cdnZmrGuG8G8nW9LylcoBAX/4li8vr5hB3/SV2nf6se9G/VneI2hbly+zoT1s7VWF7MpjCzeo3B06UWlmYWHLsQwZAlU7hwQ3N47vnOq0zduJBpGwK14ri+7gT2dsVTjTHox9X0DxqbRVv8cSgHkhOt+KTnORxJ1vtx+w4mjJmY5vLDx3/G0MCQ2TPm8OsvxzA0NKB23doMGjoIa+v8qa7j07UX5ua5CVy8MJui/m/IbWSRJe2Um98sw3UvDdqb6favX79O69atGT16tPoL3e3bt5kyZQqnTp3CzMwMb29v/PySb2dPERISwsqVK7l37x7ly5dnzJgxODs7q5dnRRtCEheRRXQ1cRHZ41NOXMT7y6rEpfwCrwzXvThwT6bafvXqFR06dODPP//E39+ftm3bolKpaNmyJSVLlmTw4MHcunWL0aNH06FDB/z8/AAIDQ1l8uTJTJkyhfLly7N8+XIOHTrE3r17KVCgQJa0IZLJQKEQQgidkp2TcwMDA7Gw0Eyw9u3bx507d5g5cyYODg40aNCAoUOHsnbtWl6+TH5cwZIlS+jYsSMtW7akTJkyTJ06FUtLSzZt2pRlbYhkkrgIIYTQKdl1O/SpU6fYvHkzM2fO1CiPjIykfPny5M2bV13m7u7OixcvuHDhAvfv3+fGjRu4u7urlxsZGVGtWjUiIyOzrA2RTCbnCiGE0CnZcVdRXFwcw4cPZ+zYsRQuXFhjWUxMDHZ2dhplhQol3+Z+9+5dzMySH6GQWp3z589nWRsimSQuQgghdEpmhoDi4uKIi9N+UrWVlRVWVv97IODEiRNxcXGhZcuWWnVfvnypNXxkamoKQEJCAvHx8Rplb9ZRqVRZ1oZIJomLHujUqVOG64aEhKRfSQghclBmhoDWrFlDUFCQVrmvry/9+/cHICwsjMjISHbuTP0nGczMzLSSh5T35ubm6t6S1OqYm5tnWRsimSQueuCzzz7L6RCEECLLZKbHpWvXrnh7e2uVv9nb8sMPP/DgwQPq1aunUWfy5MmsXr0aNzc3Ll68qLEsNjYWSB7aKVKkiLrM0dFRo46tra263oe2IZJJ4qIHpk+fntMhCCFE1slE4vL2kFBq5syZo76zJ0Xjxo3x9fWlRYsWnD17ltDQUOLi4tRthYeHY2FhQYUKFTA1NaVkyZJERERQu3ZtAJKSkjh9+jTt27cHwM3N7YPbEMkkcdFD9+/f5++//yYpKUldplKp+OOPPxgwYEAORiaEEOkzNMzaR+em1aNhbW1N0aJFKViwIPPnz8fPz49hw4bx77//MnfuXLp3766ek9KjRw/8/f0pWbIkzs7OrFixgufPn6sfYNewYcMPbkMkk8RFz4SFhTFu3DhevXqFgYEBiqKou12LFi0qiYsQ4j/vY/94Yq5cuVi+fDmTJ0+mXbt2WFlZ0b59e/r166eu065dO549e8aCBQt4/PgxTk5OrFy5Uv1k8qxoQySTJ+fqGS8vLypXrkzv3r1p164dq1atIiYmhkmTJjF48GC+/PLL92pXnpwr3iRPzhWpyaon57quaJPhupE+P2TJZ4r/Dulx0TO3bt0iMDAQe3t7HB0defjwIZ6eniQmJvL999+/d+IihBAfy8fucRH/LfLkXD1jamqqHk8tUaIEly8n/xBgxYoVuXnzZk6GJoQQGZJdT84VukESFz1TsWJF9e9elC1bluPHjwNw9epVTExMcjI0IYTIkOz8rSLx3ydDRXqmf//+9OzZE2tra7y9vQkODqZJkybExsbSvHnznA5PCCHSlR2P/Be6QxIXPePq6sq+fftQqVRYW1uzYcMGNm3aROHChencuXNOhyeEEOmSnhT9JomLHnrzmQVlypRh7NixORiNEEJkjuQt+k0SFz3TpUuXdy5fu3btR4pECCHej/S46DdJXPTM20+ITExM5ObNm/z999/pJjVCCPFfIImLfpPERc/Mnj071fKAgIBUf/pdCCH+ayRx0W8yNVsA8NVXX7F79+6cDkMIIdJlaGiQ4Zf49EiPiwAgKioK+fUHIYROkB4XvSaJi54ZPny4VtmzZ884ceIETZs2zYGIhBAic2SoSL9J4qJnoqOjNd4bGBhgYmKCj48P3bt3z6GohBAi42QESL9J4qJn1q1bl+aye/fuYWGRNb/eKoQQ2UV6XPSbTM7VM+XLl+fhw4da5f/++y+NGzfOgYiEECJzjAwNM/wSnx7pcdEDe/bs4ddffwVAURT8/f3JlSuXRp3bt29jbm6eE+EJIUSmSDqi3yRx0QMuLi6EhISo7xq6ffs2xsb/+9MbGBhgYWHB9OnTcypEIYTIMEMZKtJrkrjogSJFihASEgJA586dCQ4OxsrKKoejEkKI9yNzXPSb9LjpmXXr1nHq1CkOHz6sLhs7diy//PJLDkYlhBAZZ2hgkOGX+PRI4qJntm7dysCBA7lz5466TKVS0a9fP/bs2ZODkQkhRMYYGBhk+CU+PTJUpGdWrFjBhAkTaNu2rbps1qxZVKtWjcWLF+Pl5ZWD0QkhRPqMJSHRa9Ljomeio6OpUaOGVnnNmjX5559/ciAiIYTIHOlx0W+SuOiZokWLcvLkSa3y06dPU6hQoRyISAghMkfmuOg3GSrSM506dWLatGn8888/VK5cGYDz58+zdu1a+vfvn8PRCSFE+iQd0W+SuOiZTp068fLlS1avXs2yZcsAKFSoEEOHDqVJkyY5HJ0QQqRPelL0myQuesjHxwcfHx8ePXqEiYkJFy5cYOPGjcyYMYPz58/ndHhCCPFO8ih//SaJi556+vQpO3fuZNOmTVy/fh1TU1O8vb1zOiwhhEiX9LjoN0lb9cz58+cZM2YMderUYdq0aVy/fp0uXbpw+PBhJk+enNPhCSFEugwy8cqMmJgYBg8ejLu7O1WqVOHbb7/l6tWr6uUXL16kc+fOuLi4UK9ePVasWKGx/uvXr1m4cCG1a9emcuXK9OjRg5s3b2rUyYo29J0kLnrg5cuXbNu2jTZt2tC2bVt++uknGjduzJIlSzAyMqJt27ZYW1vndJhCCJEh2XFXkaIo9OrVi7t377JixQq2bduGmZkZ3bp14/nz5zx8+JBu3bpRokQJfvjhBwYOHMjChQvZsmWLuo3g4GA2btyIv78/mzdvxsjICB8fHxISEgCypA0hQ0V6oU6dOrx+/Zo6derQu3dv6tWrh6mpKYD6hxeFEEJXZMdQ0f379yldujQDBgygZMmSAHz33Xd8+eWXXLlyhfDwcExMTJg4cSLGxsaULl2amzdvsnTpUtq1a4dKpWLlypUMHTqUunXrAhAQEICHhwd79+6lVatWbNmy5YPbENLjohcSExOxsLDAzMyMV69ekZiYmNMhCSHEe8uOB9DZ2NgQEBCgTlru37/PihUrKFSoEA4ODkRGRuLq6oqx8f++77u7u3Pr1i1iYmK4ePEiL1680HjAp6WlJRUqVCAyMhIgS9oQ0uOiF44fP85PP/3Etm3bCA0NxczMjLp16+Ll5SVPlhRC6ByjTFy34uLiiIuL0yq3srLCysoq1XVGjhzJ9u3bMTU1ZfHixVhYWBATE0OZMmU06qU8tDM6OprY2FgAbG1ttepER0cDZEkbQhIXvZA7d268vb3x9vbmxo0bbNu2jR9//JF9+/ZhYGDAihUr6NmzJ6VLl87pUIUQIl2ZGSpas2YNQUFBWuW+vr5pPnTTx8eHTp06sWHDBvr160dISAgvX75UD7GnSHmfkJBAfHy8RtmbdVQqFUCWtCEkcdE79vb2DB06lMGDB3PkyBFCQ0PZuXMnYWFh1KhRg1WrVuV0iEII8U6ZSVy6du2a6qMe0uptAShbtiwAU6dO5Y8//mDdunWYmZlpJQ8p783NzTEzM1OXvZl4qFQqzM3NAbKkDSGJi94yNDTE09MTT09PHj58yPbt2wkNDc3psIQQIl2ZGeJ+15DQm2JjYwkPD6dFixbq9g0NDSlTpgwxMTHY2dmph3LeXAfAzs5OfaNDbGwslpaWGnVShoeyog0hk3MFYG1tjY+PD7t3787pUIQQIl2GmXhlVHR0NEOHDuX06dPqslevXvHXX39RunRp3NzcOH36tMbNDSdPnsTe3h4bGxvKlSuHpaUlERER6uXPnj3jr7/+onr16gBZ0oaQxEUIIYSOyY67iipVqoS7uzvjx48nMjKSK1euMGLECB4/fky3bt1o06YN8fHxjB49mqioKMLCwli9ejW9e/cGkuehfPPNNwQEBHDw4EEuXbqEn58ftra2NG7cGCBL2hBgoMiDPEQWMGhULKdDEP8hyoHbAMQnPc/hSMR/SW4jiyxpZ8ix4RmuO9djVobrPnnyhDlz5nD48GGePn2Kq6srw4cPx9HREUh+8vjUqVO5cOECNjY2dOvWjS5duqjXT0pKIiAggNDQUOLj46lWrRoTJkygePHi6jpZ0Ya+k8RFCCGEThl6fESG686pNTMbIxE5QSbnCiGE0CmGmf4VIvEpkcRFZImXSS9yOgTxH2JmlHzrphwX4k0px8WHkgdn6jdJXIQQQuiU7PitIqE7JHERQgihUwwN5IZYfSaJixBCCJ0iPS76TRIXIYQQOsVAHkGm1yRxEUIIoVOkx0W/SeIihBBCp8hdRfpNEhchhBA6xUCe46LXJHERQgihU4wMZY6LPpPERQghhE4xlMm5ek0SFyGEEDpF5rjoN0lchBBC6BRJXPSbJC5CCCF0ivzIon6TxEUIIYROkR4X/SaJixBCCJ1iJL9VpNckcRFCCKFT5EcW9ZskLkIIIXSKDBXpN0lchBBC6BR5cq5+k8RFCCGETpEfWdRvkrgIIYTQKTI5V79J4iKEEEKnGEjiotckcRFCCKFTZI6LfpPERQghhE6ROS76TRIXIYQQOkVuh9ZvkrgIIYTQKfJbRfpNZjgJIYTQKYaGRhl+ZcazZ8+YNm0anp6eVKlShdatW/Pzzz+rl9++fZvevXtTtWpVatasyezZs0lMTNRoIyQkhAYNGuDs7Ez79u05d+6cxvKsaEPfSeIihBBCpxhikOFXZowaNYojR47g7+9PWFgYjRs3xtfXlxMnTqBSqfDx8cHAwIBNmzYxZcoUtm3bRmBgoHr90NBQZs+ezaBBgwgNDaVkyZL07NmTBw8eAGRJGwIMFEVRcjoIofteJr3I6RDEf4iZkTkgx4XQlHJcfKj1V1dmuO43ZXtkqN69e/fw8PBgyZIl1KtXT13etWtXChYsSL169Rg1ahTHjx8nb968AGzdupVp06Zx4sQJzMzMaNKkCQ0aNGD48OEAJCUl0ahRI9q0aUO/fv3YuXPnB7chpMdFCCGEjjHIxH8ZlTt3bpYtW4arq6vmZxkY8OTJEyIjIylfvrw64QBwd3fnxYsXXLhwgfv373Pjxg3c3d3Vy42MjKhWrRqRkZEAWdKGkMm5QgghdExm7iqKi4sjLi5Oq9zKygorKyv1e0tLS+rUqaNR5+zZs5w8eZKxY8dy7Ngx7OzsNJYXKlQIgLt372JmZgaQap3z588DEBMT88FtCElchBBC6JjMzF1Zs2YNQUFBWuW+vr70798/zfWuXbuGr68vlStXpn379hw8eBALCwuNOqampgAkJCQQHx+vUfZmHZVKBcDLly8/uA0hiYsQQggdY2iQ8buFunbtire3t1b5m70tbzt16hS+vr4UKVKEJUuWYGJigpmZmVbykPLe3Nxc3VuSWh1z8+S5PVnRhpA5LkIIIXSMgYFBhl9WVlYUK1ZM65VW4rJjxw66d++Ok5MT69atI1++fEDy8E1sbKxG3ZT3dnZ2FClSRKPszTq2trZZ1oaQxEUIIYSOyY7JuQA7d+5k+PDhNGvWjCVLlmBpaale5ubmxsWLFzXmy4SHh2NhYUGFChWwtramZMmSREREqJcnJSVx+vRpqlevnmVtCDCaOHHixJwOQui+ROVVTocg/kOMDU0AOS6EppTj4kNdfPxnhntcKuSvlKE27969i4+PD9WqVWPixIkkJCTw4sULXrx4watXr3B0dGTHjh2cPHkSR0dHzp07h7+/P126dKFmzZpA8lyUwMBAbG1tMTExYe7cuVy5coVp06aRO3duSpQo8cFtCJnjIoQQQsdkxyP/9+/fT3x8PCdPnqR27doay6pWrcrGjRtZvnw5kydPpl27dlhZWdG+fXuNZ6u0a9eOZ8+esWDBAh4/foyTkxMrV67E2toagFy5cn1wG0IeQCeyiDxoTLxJHkAnUpNVD6D78cbWDNf90r5tlnym+O+QHhchhBA6OZiaGgAAFDpJREFURX4dWr9J4iKEEEKnZHbSrfi0SOIihBBCpxhKj4tek8RFCCGETpEeF/0miYsQQgidInNc9JskLkIIIXRKZh75Lz49krgIIYTQKdnxHBehOyRxEUIIoVNkqEi/SeIihBBCp8jkXP0miYsQH+DIoSOMGj6GE5HH1WVPnz5lYUAghw4e5sWLF1R3d2PoiCEU/6x4DkYqsltSUhJrV6/jhy2h3L9/n9JlSjPArz/uNarz4/YdjB8zIc11//jrzEeMVPdJj4t+k8RFiPd09sxZRo8Yy9u/mjFq2GguXbzEoKEDyZc3L0u/X4ZPt16E7tim8Wuz4tOyeuUaghcu4jvfvlSs5ETY9h/57tt+rN+0jtp1PVi3cY1G/YcPHzHMbzgtvmieQxHrLiOZnKvXJHERIpNUKhUh6zYQvHARuXPn5vXr1+pl16Ku8evRY8xdMIeGjRoAULpMaZo1as6RQ7/IP1KfsJ0/7qJZ86b07O0DgJu7G2dOn2V7aBijx47U+pG8Qb5+FClahBGjh+dEuDpNhor0myQuQmTSsaPHWbFsJX5DB/Hk8RPWrl6nXlaseDHWbVyLYzkHdZmJqQkAqleqjx6r+HhUKhUWb/SoGRkZYZnHkrgnT7TqHj/2G4cPHWHR0mDMzMw+ZpifBBkq0m+GOR2AELrGqZITe/bvplPnjloX0Fy5cuFcuRK5cuUiMTGRa1HXmDBmIgUKFMCzQf0cilh8DO2/bsfuHbsJPxHO06dPCVm3gWtR12jarIlW3QXzFvJ5rc+p5VEzByLVfQaZ+E98eqTHRYhMsrUtlKF6k8ZPYUfYDgwNDZnkP4F8+fJlc2QiJ7Xr0JZT4af41qePusx3QD/qedbTqHcqIpLLly6zdMX3HzfAT4j0uOg3SVz0QN26dTN8oh85ciR7g9Ej7Tq0peWXLTj882HGjZ5AYlISrdt453RYIhsoikLfXv34+9rfjBk/ipKlShF+IpzvFy0hj1UeOnRsr677w9YfKFO2DO6fu+dgxLrNUAYL9JokLnpg+PDhjB49mlKlStGgQYOcDkdvVHKuCEB1dzdiYmJYsXSlJC6fqDO/n+XM72eYPW8WjZs2AsCtuiuJSYkEzJ3PF1+2xNzCnFevXnHs6DG6dO+SwxHrNkMDSVz0mSQueqB58+bkypULPz8/pk+fTrly5XI6pE/W7Vu3ORURSavWX2r0cpUrX45ffzmWg5GJ7BRz9y4AzpUraZRXqVqFVctXc+fffylbtgzn/jjH06fPaNDQMyfC/GTIUJF+k7RVTzRs2JDmzZsTEBCQ06F80m7euMnEcZM4FRGpLlMUhZO/naSsQ5kcjExkpxL2JQA4c+asRvn5c+cxNjbG1tYWgD/PXcDS0pJSpUt99Bg/JTI5V79Jj4seGTt2LLdv387pMD5p7p+741y5EuNHj8d3oC/58+dj+w9hnD3zB8FLgnI6PJFNKjhVoHbd2kybPJ24J3GULFWSyIhIVi1fTcdvvsbKKg8AUVFRlLD/THoMPpAkJPpNEhc9YmlpKcNE2czY2JjAxQtZGBDI/HkLiHsSR3mn8v/X3r0HRVX+fwB/r7DrwnJTERBTQEpETbQU/TleCgrNZIpRKrMQxRFnFG9NSqGZQaJfNTRlvHxFk1zBy2BJaE02aukoXppJBjFylAUTASURv6DrAr8/HDdW1jysh3aX5/1yzow8++xzPq5Hz3vPec452LR1I0KHDrF2edSGVqf9BxvWpeO/m7fids1t9PTriUUfL0T02xONfapvVsPV1dWKVbYTDH5CUzQ9er9yIgvcbaizdglkQ9QOzgC4XZCph9vF0zp346Tkvi96/p8s6yTbwSMuRERkV3hVkdgYXIiIyK5wjovYGFyIiMiucHKz2BhciIjIrvCIi9gYXAQwefJkyX21Wm0bVkJE9PQYXMTGGU4C6Nmzp+SFiMjWdVB0kLxYavPmzZg0aZJJ29WrVxEfH48XXngBw4cPx6pVq2AwGEz6aLVahIeHY8CAAXj77bdx/vx52ccQHY+4CCA1NdXaJRARyaat57hotVqkpaVh0KBBxja9Xo+4uDgEBAQgOzsbZWVl+Pjjj+Ho6Ij58+cDAHJycrBq1SokJycjODgYW7duxfTp03Ho0CF06dJFljGI93ER0o0bN3D58mU0NDQY2/R6PX777TfMmTPHojF5vw5qjvdxIXPkuo9L0a3fJPcN9giR3LeiogJLly5Ffn4+fHx84OHhgaysLABAbm4uPvroI5w4cQLu7u4AgL1792L58uU4efIk1Go1xowZg/DwcCxcuBAA0NDQgFdffRUTJkzArFmzZBmDeMRFON988w2WLFmC+/fvQ6FQoKmpyfjtpXv37hYHFyKif0tbzXEpLCyERqPBgQMHkJ6eDp1OZ3zt7NmzCA4ONgYOABg6dCjq6upQWFgIPz8/lJSUYOjQocbXHRwc8OKLL+Ls2bOyjUEMLsLZsmULxo8fj/j4eLz11lvYvn07KioqsGzZMiQkJFi7PCKiJ2rNqaLbt2/j9u3bLdrd3Nzg5uZm0hYWFoawMPNP7q6oqICPj49Jm5eXFwDg+vXrUKvVAGC2T0FBgWxjEIOLcMrKyrB+/Xr4+/sjKCgI1dXVCAsLg8FgwKZNm/DGG29Yu0Qion/UmiMuO3bswIYNLR9wOnv27FZ9Wbt79y40Go1Jm0qlAgDcu3cP9fX1Jm3N++j1etnGIAYX4ahUKuM/Cj8/P/z+++8YOXIk+vfvb3JYlIjIVrXmaqEpU6YgKiqqRfujR1ueRK1WtwgPD392dnY2Hi0x18fZ2Vm2MYiXQwunf//+yM7OBgA899xzOHHiBADgjz/+gFKptGZpREQSKSQvbm5ueOaZZ1osrQ0uPj4+qKysNGl7+LOPjw98fX1N2pr38fb2lm0MYnARTkJCArRaLTIyMhAZGYnCwkKMGTMG8+bNwyuvvGLt8oiInkihUEhe5DJkyBAUFRWZzJfJz8+HRqNB37590blzZwQEBOD06dPG1xsaGnDu3DmEhobKNgYBDp9++umn1i6C/j2+vr6IioqCv78/fHx88PLLL6O2thbh4eGYM2cOHBwcLBrX0HRf5krJnjl2eHD0jtsFNfdwu3hat/Q3oZD4q1NHT4vWcfjwYdTU1GDixIkAHpxaP3DgAE6dOoWgoCCcP38eKSkpiImJwfDhwwE8OBW/fv16eHt7Q6lUYs2aNSguLsby5cvh5OQkyxjE+7iQTHi/DmqO93Ehc+S6j8uV2mLJfQNce1u0jsTEROh0OuN9XABAp9Phs88+w5kzZ+Dm5oYJEyZg7ty56NDh75MX27Ztw44dO3Dr1i3069cPSUlJ6Nevn6xjiI7BRTAxMTH/+HpmZqZF43IHRc0xuJA5cgWXkjt/SO7r7/KcLOsk28GrigTz6AQvg8EAnU6Hy5cvPzHUEBHZgg6cnik0BhfBrFq1ymx7Wlqa2Zs0ERHZmrZ+VhHZNsZWAgBMnDgReXl51i6DiOiJpE7MbatHA5B18YgLAQAuXboETnciInvAIy5iY3ARzMMnjjZ3584dnDx5EmPHjrVCRURErcMjKWJjcBFMeXm5yc8KhQJKpRJxcXGYOnWqlaoiIpKOwUVsvByajKqqqtC1a1eL3svLXqk5Xg5N5sh1OfT1+jLJfX2cesiyTrIdnJwrmODgYFRXV7dov3btGiIiIqxQERFRa0l/VhG1PzxVJICDBw/il19+AQA0NTUhJSUFHTt2NOlz9epVPn2UiOwC44jYGFwEMHDgQGi1WuNVQ1evXoWj499/9QqFAhqNBqmpqdYqkYioFRhdRMY5LoJ5//33kZ6e3upHuj8J5zJQc5zjQubINcel8u41yX291L6yrJNsB+e4CObrr7/GmTNncOTIEWPb4sWLcezYMStWRUQkHW9AJzYGF8Hs3bsXc+fOxZ9//mls0+v1mDVrFg4ePGjFyoiIpGFwERtPFQlm7NixiIuLQ3R0tEn77t27sXPnTuTm5lo0Lk8JUHM8VUTmyHWq6Mbd65L7eqp9ZFkn2Q4ecRFMeXk5hg0b1qJ9+PDhKC0ttUJFRESto1AoJC/U/jC4CKZ79+44depUi/Zz587By8vLChURERFJx8uhBTN58mQsX74cpaWlCAkJAQAUFBQgMzMTCQkJVq6OiOjJOHdFbJzjIqCMjAx89dVXqKqqAgB4eXkhPj4eY8aMgaenp0Vjci4DNcc5LmSOXHNc/rpXJblvp46WPcaEbBeDi8D++usvKJVKFBYWIisrCz/99BMKCgosGos7KGqOwYXMkSu43NLfkNzXQ2XZlzGyXTxVJKja2lrk5uYiOzsbV65cgUqlQlRUlLXLIiKSgKeKRMbgIpiCggJkZ2fj4MGDqK+vh0KhQExMDOLj49G5c2drl0dE9ESMLWJjcBHA3bt38d133yErKwuFhYXQaDSIiIjAuHHjMGvWLERHRzO0EJEdYXQRGYOLAEaNGoXGxkaMGjUK8fHxeOmll6BSqQAAnOJERPaG92cRG+/jIgCDwQCNRgO1Wo379+/DYDBYuyQiIovxlv9i4xEXAZw4cQLff/899u3bh5ycHKjVaowePRrjxo3jNxciskP8f0tkvBxaMCUlJdi3bx++/fZbVFVVQaFQ4M0338T06dMRGBho8bi87JWa4+XQZI5cl0PfuV8jua+L0l2WdZLtYHARVGNjI44ePYqcnBwcPXoUDQ0NGDZsGLZv327ReNxBUXMMLmSOXMHlf4bbkvtqHN1kWSfZDgYXQnV1Nfbv34+cnBzk5eVZNAZ3UNQcgwuZI19wqZXcV+PoKss6yXYwuJAsuIOi5hhcyBy5gkud4Y7kvs6OLrKsk2wHJ+cSEZFd4UUFYmNwIVnI9U2K2hduF0QkN54qIiIiIrvBG9ARERGR3WBwISIiIrvB4EJERER2g8GFiIiI7AaDCxEREdkNBhciIiKyGwwuREREZDcYXIiIiMhuMLgQERGR3WBwoXYrLCwMQUFBxiU4OBiDBw9GbGwsfv31V9nXp9PpEBQUhPz8fABAYmIiJk2aJOm9TU1N2L9/P27evPnYPo2Njfjyyy8xcuRIhISEYNq0adDpdLLULpL2tl00t3nzZsljE9krBhdq16ZMmYLjx4/j+PHjOHbsGHbt2gW1Wo1p06bh2rVrbbrupKQkbNy4UVLfU6dOITExEfX19Y/tk56ejqysLKSkpGD37t1wcHBAXFwc7t27J1fJwmhP28VDWq0WaWlpT1sekc1jcKF2zcnJCV27dkXXrl3h5eWF3r17Y9myZaivr8ePP/7Yput2dXWFh4eHpL5PemSYXq/Htm3bMHv2bIwePRp9+vRBWloabty4gUOHDslRrlDay3YBABUVFZg5cyZWr16NgICApy2PyOYxuJBwHB0fPBS9Y8eOAB6cOlixYgXGjx+P0NBQ/PzzzwCAffv24bXXXsPzzz+PsWPHYsuWLTAYDMZxiouLERMTg4EDByIiIgKnT582Wc+jpwTKysqQkJCAwYMHIzQ0FAkJCbh+/Try8/MxdepUAEB4eDjWr1/fouaioiLU1dVh2LBhxjYXFxf07dsXZ8+elemTEZs9bhcAUFhYCI1GgwMHDiAkJES+D4TIRjlauwCif1NFRQVWrFgBZ2dnjBo1yti+c+dOpKenw9PTE7169cKuXbuwdu1aLFmyBAMHDkRxcTGSk5NRVlaG5ORk1NbWIjY2FgMGDMCePXtQWVmJxYsXP3a9tbW1mDx5MgIDA7F9+3YolUokJydj5syZ2LNnD9auXYt58+Zh7969CAwMNFs3AHh7e5u0e3l5oby8XKZPR1z2ul0ADwJWWFiY7J8Jka1icKF2LSMjA5mZmQAAg8EAvV6PXr16Ye3atfD19TX2GzFiBEaPHm38edOmTYiPj0dkZCQAoEePHtDr9ViwYAEWLFiAH374AXV1dVi5ciXc3d3Ru3dvJCYmYu7cuWbryMvLQ01NDb744gt06tQJAPD5559jz5490Ov1cHd3BwB07twZGo2mxfsfznFQqVQm7SqVCnq93tKPR1jtZbsgEhGDC7Vr0dHRiI2NBQB06NABHh4ecHV1bdHPz8/P+Pvq6mpUVFRg3bp12LBhg7G9sbERjY2NKCkpQXFxMXr06GHcsQDAoEGDHltHcXExevbsadw5AYC/vz8WLlwo6c+hVqsBPJjr0jy86PV6ODs7SxqD/tZetgsiETG4ULvm5uZmsvN5nIfBAHiwIwKARYsWYcSIES36ent7Izc3t0W7Uql87Pj/9JoU3bp1AwBUVlbCxcXF2F5ZWYlnn332qcYWUXvZLohExMm5RI/o0qULunTpgtLSUvj5+RmXy5cvY82aNTAYDAgODoZOp0N1dbXxfQUFBY8dMzAwEKWlpaipqTG2XblyBUOGDMGlS5egUCj+saY+ffrAxcXFZKLnnTt3cOHCBYSGhj7Fn5akssXtgkhEDC5Ej1AoFJgxYwa0Wi0yMzNRWlqKI0eOICkpCcCDq3lef/11eHp64oMPPsDFixdx+vRppKamPnbMyMhIdOrUCR9++CGKiopw4cIFJCUlwc/PD4GBgcb5C0VFRaitrW3xfpVKhffeew9paWk4fPgwLl68iPnz58Pb2xsRERFt80GQCVvcLohExOBCZEZsbCwWL16MrKwsjBs3DkuXLkVkZCRWrlwJAHB2dkZmZiaUSiXeeecdLFq0CDNmzHjseE5OTsjIyAAAvPvuu5g6dSq6deuGjRs3QqFQoE+fPggLC8P8+fOxbt06s2PMmTMH0dHR+OSTTzBp0iQ0NTVh69atLSbsUtuxxe2CSDSKJil3OCIiIiKyATziQkRERHaDwYWIiIjsBoMLERER2Q0GFyIiIrIbDC5ERERkNxhciIiIyG4wuBAREZHdYHAhIiIiu8HgQkRERHbj/wFwM2ffSzkPIAAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7442,18 +7995,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9645257021261628\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9995014170693135, 'sensitivity': 0.8271836734693878, 'specificity': 0.9997995181400909, 'precision': 0.8777668909416588, 'f1': 0.8513994360334005, 'auc': 0.9134915958047394, 'actual_accuracy': 0.7873983739837399}\n"
+      "{'accuracy': 0.9947648765772902, 'sensitivity': 0.8719591836734694, 'specificity': 0.99497740182544, 'precision': 0.23134114749731646, 'f1': 0.36556985725169555, 'auc': 0.9768149458401091, 'pr_auc': 0.7165060264554396, 'actual_accuracy': 0.8817073170731706}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -7461,28 +8015,29 @@
     }
    ],
    "source": [
-    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'XGBoostplus1', 'XGBoost with one more depth', 5)"
+    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'smote', 'RandomForestminus2', 'Random Forest with SMOTE Sampling and depth -2', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9995014170693135,\n",
-       " 'sensitivity': 0.8271836734693878,\n",
-       " 'specificity': 0.9997995181400909,\n",
-       " 'precision': 0.8777668909416588,\n",
-       " 'f1': 0.8513994360334005,\n",
-       " 'auc': 0.9134915958047394,\n",
-       " 'actual_accuracy': 0.7873983739837399}"
+       "{'accuracy': 0.9947648765772902,\n",
+       " 'sensitivity': 0.8719591836734694,\n",
+       " 'specificity': 0.99497740182544,\n",
+       " 'precision': 0.23134114749731646,\n",
+       " 'f1': 0.36556985725169555,\n",
+       " 'auc': 0.9768149458401091,\n",
+       " 'pr_auc': 0.7165060264554396,\n",
+       " 'actual_accuracy': 0.8817073170731706}"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7493,77 +8048,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 18,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{'accuracy': [0.9994733238531627,\n",
-       "  0.9995786590825302,\n",
-       "  0.999490879724724,\n",
-       "  0.9995084355962852,\n",
-       "  0.9994557870898654],\n",
-       " 'actual_accuracy': [0.7987804878048781,\n",
-       "  0.7886178861788617,\n",
-       "  0.8048780487804879,\n",
-       "  0.7886178861788617,\n",
-       "  0.7560975609756098],\n",
-       " 'sensitivity': [0.8163265306122449,\n",
-       "  0.8673469387755102,\n",
-       "  0.8061224489795918,\n",
-       "  0.8061224489795918,\n",
-       "  0.84],\n",
-       " 'specificity': [0.9997889664632538,\n",
-       "  0.999806552591316,\n",
-       "  0.9998241387193781,\n",
-       "  0.9998417248474404,\n",
-       "  0.9997362080790673],\n",
-       " 'precision': [0.8695652173913043,\n",
-       "  0.8854166666666666,\n",
-       "  0.8876404494382022,\n",
-       "  0.8977272727272727,\n",
-       "  0.8484848484848485],\n",
-       " 'f1': [0.8421052631578948,\n",
-       "  0.8762886597938144,\n",
-       "  0.8449197860962567,\n",
-       "  0.849462365591398,\n",
-       "  0.8442211055276383],\n",
-       " 'auc': [0.9080577485377493,\n",
-       "  0.9335767456834131,\n",
-       "  0.902973293849485,\n",
-       "  0.9029820869135162,\n",
-       "  0.9198681040395337],\n",
-       " 'final': {'accuracy': 0.9995014170693135,\n",
-       "  'sensitivity': 0.8271836734693878,\n",
-       "  'specificity': 0.9997995181400909,\n",
-       "  'precision': 0.8777668909416588,\n",
-       "  'f1': 0.8513994360334005,\n",
-       "  'auc': 0.9134915958047394,\n",
-       "  'actual_accuracy': 0.7873983739837399},\n",
-       " 'model': XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
-       "               colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
-       "               learning_rate=0.1, max_delta_step=0, max_depth=7,\n",
-       "               min_child_weight=1, missing=None, n_estimators=100, n_jobs=1,\n",
-       "               nthread=1, objective='binary:logistic', random_state=42,\n",
-       "               reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=42,\n",
-       "               silent=None, subsample=1, verbosity=1)}"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
+     ]
     }
    ],
    "source": [
-    "results"
+    "print(varlist)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -7574,37 +8076,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.03907\tvalidation_1-error:0.026931\n",
-      "[5]\tvalidation_0-error:0.025702\tvalidation_1-error:0.013571\n",
-      "[10]\tvalidation_0-error:0.023976\tvalidation_1-error:0.009586\n",
-      "[15]\tvalidation_0-error:0.021565\tvalidation_1-error:0.009164\n",
-      "[20]\tvalidation_0-error:0.017881\tvalidation_1-error:0.009147\n",
-      "[25]\tvalidation_0-error:0.014904\tvalidation_1-error:0.008146\n",
-      "[30]\tvalidation_0-error:0.012414\tvalidation_1-error:0.007883\n",
-      "[35]\tvalidation_0-error:0.010512\tvalidation_1-error:0.007461\n",
-      "[40]\tvalidation_0-error:0.009204\tvalidation_1-error:0.007128\n",
-      "[45]\tvalidation_0-error:0.008136\tvalidation_1-error:0.006566\n",
-      "[50]\tvalidation_0-error:0.007327\tvalidation_1-error:0.00618\n",
-      "[55]\tvalidation_0-error:0.006582\tvalidation_1-error:0.005583\n",
-      "[60]\tvalidation_0-error:0.005636\tvalidation_1-error:0.005109\n",
-      "[65]\tvalidation_0-error:0.004557\tvalidation_1-error:0.004758\n",
-      "[70]\tvalidation_0-error:0.003693\tvalidation_1-error:0.004336\n",
-      "[75]\tvalidation_0-error:0.003126\tvalidation_1-error:0.004161\n",
-      "[80]\tvalidation_0-error:0.002666\tvalidation_1-error:0.003757\n",
-      "[85]\tvalidation_0-error:0.002143\tvalidation_1-error:0.003388\n",
-      "[90]\tvalidation_0-error:0.001781\tvalidation_1-error:0.003248\n",
-      "[95]\tvalidation_0-error:0.001611\tvalidation_1-error:0.002984\n",
-      "[99]\tvalidation_0-error:0.001268\tvalidation_1-error:0.002949\n",
-      "[[56708   155]\n",
-      " [   13    85]]\n"
+      "[[56825    38]\n",
+      " [   15    83]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7616,6 +8095,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9872276258691226\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7623,37 +8103,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.033965\tvalidation_1-error:0.038008\n",
-      "[5]\tvalidation_0-error:0.022719\tvalidation_1-error:0.018047\n",
-      "[10]\tvalidation_0-error:0.017375\tvalidation_1-error:0.013641\n",
-      "[15]\tvalidation_0-error:0.01426\tvalidation_1-error:0.01027\n",
-      "[20]\tvalidation_0-error:0.012345\tvalidation_1-error:0.009919\n",
-      "[25]\tvalidation_0-error:0.010633\tvalidation_1-error:0.008953\n",
-      "[30]\tvalidation_0-error:0.009378\tvalidation_1-error:0.00869\n",
-      "[35]\tvalidation_0-error:0.008134\tvalidation_1-error:0.008041\n",
-      "[40]\tvalidation_0-error:0.007215\tvalidation_1-error:0.00776\n",
-      "[45]\tvalidation_0-error:0.006426\tvalidation_1-error:0.007426\n",
-      "[50]\tvalidation_0-error:0.005702\tvalidation_1-error:0.006531\n",
-      "[55]\tvalidation_0-error:0.005243\tvalidation_1-error:0.005951\n",
-      "[60]\tvalidation_0-error:0.00494\tvalidation_1-error:0.006004\n",
-      "[65]\tvalidation_0-error:0.004885\tvalidation_1-error:0.005899\n",
-      "[70]\tvalidation_0-error:0.004845\tvalidation_1-error:0.005846\n",
-      "[75]\tvalidation_0-error:0.004834\tvalidation_1-error:0.005846\n",
-      "[80]\tvalidation_0-error:0.00483\tvalidation_1-error:0.005846\n",
-      "[85]\tvalidation_0-error:0.004825\tvalidation_1-error:0.005846\n",
-      "[90]\tvalidation_0-error:0.004819\tvalidation_1-error:0.005846\n",
-      "[95]\tvalidation_0-error:0.004814\tvalidation_1-error:0.005846\n",
-      "[99]\tvalidation_0-error:0.004814\tvalidation_1-error:0.005846\n",
-      "[[56540   323]\n",
-      " [   10    88]]\n"
+      "[[56804    59]\n",
+      " [   12    86]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7665,6 +8122,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9816454658116698\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7672,37 +8130,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.032537\tvalidation_1-error:0.031039\n",
-      "[5]\tvalidation_0-error:0.024238\tvalidation_1-error:0.017767\n",
-      "[10]\tvalidation_0-error:0.018441\tvalidation_1-error:0.010376\n",
-      "[15]\tvalidation_0-error:0.016318\tvalidation_1-error:0.008971\n",
-      "[20]\tvalidation_0-error:0.013992\tvalidation_1-error:0.008971\n",
-      "[25]\tvalidation_0-error:0.012181\tvalidation_1-error:0.008901\n",
-      "[30]\tvalidation_0-error:0.010007\tvalidation_1-error:0.008374\n",
-      "[35]\tvalidation_0-error:0.008822\tvalidation_1-error:0.007953\n",
-      "[40]\tvalidation_0-error:0.007454\tvalidation_1-error:0.007057\n",
-      "[45]\tvalidation_0-error:0.006753\tvalidation_1-error:0.006303\n",
-      "[50]\tvalidation_0-error:0.005676\tvalidation_1-error:0.006127\n",
-      "[55]\tvalidation_0-error:0.005063\tvalidation_1-error:0.005635\n",
-      "[60]\tvalidation_0-error:0.004137\tvalidation_1-error:0.004951\n",
-      "[65]\tvalidation_0-error:0.00339\tvalidation_1-error:0.004213\n",
-      "[70]\tvalidation_0-error:0.003168\tvalidation_1-error:0.003968\n",
-      "[75]\tvalidation_0-error:0.002471\tvalidation_1-error:0.003669\n",
-      "[80]\tvalidation_0-error:0.001805\tvalidation_1-error:0.003143\n",
-      "[85]\tvalidation_0-error:0.001792\tvalidation_1-error:0.003125\n",
-      "[90]\tvalidation_0-error:0.001785\tvalidation_1-error:0.003143\n",
-      "[95]\tvalidation_0-error:0.00177\tvalidation_1-error:0.003125\n",
-      "[99]\tvalidation_0-error:0.001761\tvalidation_1-error:0.003107\n",
-      "[[56699   164]\n",
-      " [   13    85]]\n"
+      "[[56819    44]\n",
+      " [   16    82]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7714,6 +8149,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9773260974192537\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7721,37 +8157,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.037192\tvalidation_1-error:0.049385\n",
-      "[5]\tvalidation_0-error:0.025425\tvalidation_1-error:0.011429\n",
-      "[10]\tvalidation_0-error:0.020866\tvalidation_1-error:0.009076\n",
-      "[15]\tvalidation_0-error:0.018195\tvalidation_1-error:0.008567\n",
-      "[20]\tvalidation_0-error:0.0159\tvalidation_1-error:0.008234\n",
-      "[25]\tvalidation_0-error:0.014876\tvalidation_1-error:0.008128\n",
-      "[30]\tvalidation_0-error:0.012972\tvalidation_1-error:0.007988\n",
-      "[35]\tvalidation_0-error:0.011642\tvalidation_1-error:0.007286\n",
-      "[40]\tvalidation_0-error:0.010407\tvalidation_1-error:0.006864\n",
-      "[45]\tvalidation_0-error:0.009334\tvalidation_1-error:0.006619\n",
-      "[50]\tvalidation_0-error:0.00774\tvalidation_1-error:0.005951\n",
-      "[55]\tvalidation_0-error:0.006296\tvalidation_1-error:0.005899\n",
-      "[60]\tvalidation_0-error:0.00554\tvalidation_1-error:0.005477\n",
-      "[65]\tvalidation_0-error:0.004544\tvalidation_1-error:0.004582\n",
-      "[70]\tvalidation_0-error:0.003467\tvalidation_1-error:0.004231\n",
-      "[75]\tvalidation_0-error:0.0033\tvalidation_1-error:0.004073\n",
-      "[80]\tvalidation_0-error:0.003333\tvalidation_1-error:0.004038\n",
-      "[85]\tvalidation_0-error:0.003315\tvalidation_1-error:0.003968\n",
-      "[90]\tvalidation_0-error:0.0033\tvalidation_1-error:0.003968\n",
-      "[95]\tvalidation_0-error:0.003339\tvalidation_1-error:0.00395\n",
-      "[99]\tvalidation_0-error:0.003337\tvalidation_1-error:0.00395\n",
-      "[[56654   209]\n",
-      " [   16    82]]\n"
+      "[[56831    32]\n",
+      " [   17    81]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7763,6 +8176,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9860734016273269\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7770,37 +8184,14 @@
       "Getting TRAIN DF for response 1 from index 0 to 392\n",
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[0]\tvalidation_0-error:0.035983\tvalidation_1-error:0.036111\n",
-      "[5]\tvalidation_0-error:0.023732\tvalidation_1-error:0.019258\n",
-      "[10]\tvalidation_0-error:0.019024\tvalidation_1-error:0.013202\n",
-      "[15]\tvalidation_0-error:0.016546\tvalidation_1-error:0.011604\n",
-      "[20]\tvalidation_0-error:0.014757\tvalidation_1-error:0.012008\n",
-      "[25]\tvalidation_0-error:0.012829\tvalidation_1-error:0.011376\n",
-      "[30]\tvalidation_0-error:0.011444\tvalidation_1-error:0.01099\n",
-      "[35]\tvalidation_0-error:0.01007\tvalidation_1-error:0.009971\n",
-      "[40]\tvalidation_0-error:0.009103\tvalidation_1-error:0.009533\n",
-      "[45]\tvalidation_0-error:0.008107\tvalidation_1-error:0.008672\n",
-      "[50]\tvalidation_0-error:0.007219\tvalidation_1-error:0.007917\n",
-      "[55]\tvalidation_0-error:0.006439\tvalidation_1-error:0.007461\n",
-      "[60]\tvalidation_0-error:0.006149\tvalidation_1-error:0.006987\n",
-      "[65]\tvalidation_0-error:0.005896\tvalidation_1-error:0.006776\n",
-      "[70]\tvalidation_0-error:0.005854\tvalidation_1-error:0.006689\n",
-      "[75]\tvalidation_0-error:0.005854\tvalidation_1-error:0.006689\n",
-      "[80]\tvalidation_0-error:0.00585\tvalidation_1-error:0.006671\n",
-      "[85]\tvalidation_0-error:0.00585\tvalidation_1-error:0.006671\n",
-      "[90]\tvalidation_0-error:0.005852\tvalidation_1-error:0.006671\n",
-      "[95]\tvalidation_0-error:0.005852\tvalidation_1-error:0.006671\n",
-      "[99]\tvalidation_0-error:0.005852\tvalidation_1-error:0.006671\n",
-      "[[56495   368]\n",
-      " [   12    88]]\n"
+      "[[56804    59]\n",
+      " [   15    85]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7812,18 +8203,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9802156938606826\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9954952102034511, 'sensitivity': 0.8698775510204081, 'specificity': 0.9957125019784394, 'precision': 0.2768826896752565, 'f1': 0.4153577497817095, 'auc': 0.9327950264994238, 'actual_accuracy': 0.7406504065040651}\n"
+      "{'accuracy': 0.9989220786087947, 'sensitivity': 0.8475510204081633, 'specificity': 0.9991840036579147, 'precision': 0.6473878898724933, 'f1': 0.732489295617534, 'auc': 0.9824976569176112, 'pr_auc': 0.7921929713884556, 'actual_accuracy': 0.947560975609756}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -7832,27 +8224,28 @@
    ],
    "source": [
     "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'smote', 'XGBoost', 'XGBoost with SMOTE sampling', 5)"
+    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'naive', 'RandomForestplus2', 'Random Forest with NAIVE Sampling and depth +2', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9954952102034511,\n",
-       " 'sensitivity': 0.8698775510204081,\n",
-       " 'specificity': 0.9957125019784394,\n",
-       " 'precision': 0.2768826896752565,\n",
-       " 'f1': 0.4153577497817095,\n",
-       " 'auc': 0.9327950264994238,\n",
-       " 'actual_accuracy': 0.7406504065040651}"
+       "{'accuracy': 0.9989220786087947,\n",
+       " 'sensitivity': 0.8475510204081633,\n",
+       " 'specificity': 0.9991840036579147,\n",
+       " 'precision': 0.6473878898724933,\n",
+       " 'f1': 0.732489295617534,\n",
+       " 'auc': 0.9824976569176112,\n",
+       " 'pr_auc': 0.7921929713884556,\n",
+       " 'actual_accuracy': 0.947560975609756}"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7861,64 +8254,10 @@
     "results['final']"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Results:\n",
-    "## XGBoost\n",
-    "\n",
-    "Sampling types:\n",
-    "naive,naive,naive,smote\n",
-    "\n",
-    "Depth:\n",
-    "sqrt(num of features), sqrt(num of features) - 1, sqrt(num of features) + 1, sqrt(num of features)\n",
-    "\n",
-    "sensitivity: 0.8293, 0.8414, 0.8272, 0.8699\n",
-    "precision: 0.7976, 0.6416, 0.8778, 0.2769\n",
-    "f1: 0.8129, 0.7275, 0.8514, 0.4154\n",
-    "auc: 0.9145, 0.9203, 0.9135, 0.9328\n",
-    "\n",
-    "## Sensitivity increases when the tree depth is not too deep and SMOTE sampling is used\n",
-    "## f1 and precision is best when tree depth is deeper and naive sampling is used\n",
-    "Likely that there's a tradeoff between overfitting a bit more and getting more True Positive & more False Positive\n",
-    "### SMOTE sampling is also more aggressive and allows model to find more fraud cases, but at the expense of precision\n",
-    "### If we use AUC which is a fairer metric, looks like SMOTE + depth = sqrt(num of features) gives good balance between high sensitivty (important in fraud) but not toopoor precision\n",
-    "### However if precision is key here, using a tree with greater depth and naive sampling is better (Case 3 has high precision of 0.8778)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Run pipeline with SVM models\n",
-    "## We try linear SVM, with both naive/smote sampling, and different C regularization values (C=1 default, C=2, C=0.5)\n",
-    "### The lower the C, the more the regularization, which is good for noisy dataset"
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(varlist)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {
-    "scrolled": true
-   },
    "outputs": [
     {
      "name": "stdout",
@@ -7929,13 +8268,13 @@
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55820  1043]\n",
-      " [    6    92]]\n"
+      "[[56842    21]\n",
+      " [   17    81]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7947,6 +8286,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9817380621594258\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7955,13 +8295,13 @@
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55655  1208]\n",
-      " [   10    88]]\n"
+      "[[56833    30]\n",
+      " [   13    85]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7973,6 +8313,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9814904207642643\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -7981,13 +8322,13 @@
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55882   981]\n",
-      " [   11    87]]\n"
+      "[[56838    25]\n",
+      " [   18    80]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -7999,6 +8340,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9686924749675823\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8007,13 +8349,13 @@
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55800  1063]\n",
-      " [    9    89]]\n"
+      "[[56849    14]\n",
+      " [   19    79]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAikAAAERCAYAAAC+UjdDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdeVxN+f8H8Ndt0yY0WohpGtyopLRZQmKyD8neZMsIFSLJHpJdaDFCliRLk0Z2ZhgmKjUMY9CEUqTsScttOb8//O75drulm26603k/Pc7j4X7O537O55zOOfd9P5/P+VwewzAMCCGEEEJkjFxDV4AQQgghpCoUpBBCCCFEJlGQQgghhBCZREEKIYQQQmQSBSmEEEIIkUkUpDQC9IAWkRVf4lyk852QuvkvXUMSByl3796Fr68v7O3tYWpqCnt7e/j6+uLRo0f1VrmkpCQMGTIEJiYmGDx4sNTKDQoKgqGhIUpLS6VWZnViYmJgaGgIQ0ND3L9/v8o8qampbJ6srKxalX/s2DEEBATUmM/e3h7e3t61Kruy+vp7CPn6+rLHoeJibm6OIUOGIDg4GGVlZVLfbnUSExNhaGiIa9eufbFtVpSVlVXl8RAuPXv2bJB6VeX58+eYMWMGMjMzpVZm5eOfl5cHX19fJCQksHk+97x2cXGBkZERbt26VeX68ePHw8XFpcp1P/30EwwNDbFgwYJqyzc0NERgYCAAYMqUKbC0tERxcXG1+SdPngx7e3swDCNyz6huSUxM/OT+paWlYf78+bC1tYWJiQl69uwJT09P3Lx585PvawguLi4YP348+1oa9ypZ8bmfNcJzICMjQ+p1SktLw/jx49k6Ce8zx44dk/q2qpKZmQlzc3MEBQVJlF9BkkyHDx/G6tWr0bVrV3h6ekJHRweZmZnYv38/nJycsHv3blhYWNSp4lVZt24dCgsLERISgubNm0utXCcnJ3Tv3h0KChLtvlTIycnhzJkz6Nixo9i6kydPfna5O3bsQNeuXWvMt23bNqirq3/2doD6+3tUpKmpKXbyvn37FqdPn0ZQUBCKi4sxf/78etm2rPrxxx9hZ2cnlq6kpPTlK1ONa9eu4dKlS1i0aJHUyjQyMkJkZCQMDQ0BAPfu3cPx48fx/fffS6X8srIyLFy4EL/88guUlZUlfl9MTAz4fD7Onj2LRYsWQVNT85P5R48ejWvXruG3337DoEGDxNZnZ2cjMTERnp6e4PF4bHpgYCC0tbWrLFN4TKry77//YuzYsTAyMoKPjw+0tLTw4sULHDlyBM7OzggJCUHfvn0l3NsvTxr3KlK9M2fONFiwWl5eDl9fXxQUFEj8nho/pW/duoVVq1Zh3LhxWL58uci6QYMGYdSoUfDx8cH58+chLy9f+1p/wtu3b2Fubo4+ffpItdzWrVujdevWUi2zJhYWFjh79iy8vLzE1p06dQpGRkb4559/6m37nTt3rnMZ9fX3qEhRURGWlpZi6f3798fTp08RHR3NuSBFX1+/ymPS2DVt2rRe97tp06ZIT0/Hli1bsHjxYonek5SUhIyMDBw8eBBTpkxBTEwMpk2b9sn39O/fH82bN8eJEyeqDFJiY2PB4/Hg5OQkkm5sbAx9fX3Jd+j/7d27F+rq6ggPDxcJZAcOHIiRI0diy5YtMh2kSONeRb6srKws9OvXDwcOHICNjU21+fbs2YOnT5/Wquwau3t2796Npk2bVtm0qaGhAV9fXwwdOhR5eXls+unTp+Hk5ARzc3P06NEDy5Ytw5s3b9j1QUFB+O677/DHH3/A0dERnTt3hr29Pfbt2wfgf81PT58+xcmTJ2FoaIiYmJhqm8AqN83eu3cPU6dOhZWVFczMzDBhwgTEx8eLbL9yE1xd61yTQYMGIT09XSwQuXXrFp4/f46BAweKvefixYtwdnaGubk5TExMMHDgQERERLDrhccoLi6O/WYlrGdYWBhsbGzQo0cPPH/+XKQJdd26dTA0NBQ5JhcvXoShoWGV+1Pd3wMA0tPTMXv2bNja2qJLly744YcfcOPGDbH3HjhwAMOGDUOXLl1w4MABiY5ZZVV9uzp27BhGjhwJMzMzmJqaYvjw4Th9+jS7XthlkJSUhOnTp8PMzAw2NjZYvnw5CgsL2XwMw2DXrl3o168fTE1NMWXKFOTk5IhtT9L9PXPmDDw8PGBmZobu3bsjODgYBQUFWLFiBaytrWFjY4OlS5d+sgugNnJzc7F48WLY2dnB1NQUI0eOxMWLF0XyGBoaIjQ0FGPHjoWpqSnWr18P4GNXzfz582FjY8PuU+VukOvXr2PcuHEwNzeHhYUFXF1d8ffffwP4eM4JW1AcHByqbMYVnl+3b99m086fPw9DQ0OEh4ezaa9evULHjh1x6tQpke6emJgYTJw4EcDH7hNfX1/2PWVlZQgMDIStrS1MTU0xfvx43L17t8Zj1qFDB4wePRoHDhwQ+Rt+SnR0NPT09GBlZQV7e3scPny4xv59JSUlDBs2DFevXsXbt2/F1sfGxqJ3797Q0dGRqA41efXqlUiLTMV6LFiwAKNHjxZJl/Qaun79OiZNmoQuXbrAzs4OR44cwatXrzBv3jyYm5vD1tYWmzZtYo+H8FqIi4vDjBkz0KVLF/Tp0wdBQUGf7LateK8SlnH+/HnMmzcPFhYW6Nq1K7y8vPD69WuR9+3Zs4e9fidMmIDff/+9xq6xoqIibN68GQ4ODjAxMUHXrl0xZcoUkfu0pPf+9+/fY9myZejWrRu6du0KPz8/CASCarctJBAIsHHjRvTq1QtmZmaYO3cu3r9/L5YvLS0NM2bMQNeuXWFubg43NzeR4RaSHG9fX18EBwcD+BgEC+/jwMfzZv78+bCwsICFhQXmzZsndozr4v79+wgKCsKaNWtq9b5PBikMw+Dq1avo3r07VFRUqsxjb28PLy8vtGjRAgAQGhoKLy8vGBkZITAwEDNnzsS5c+cwceJEkQ+Fly9fYsmSJRg1ahR27NgBY2NjrF27FvHx8dDW1kZkZCS0tLRga2uLyMhIib+95+fnY8qUKWjSpAk2btyIrVu3QlFREW5ubtX2l0ujzjXp3r07NDU1cebMGZH0kydPsusqunz5Mtzd3dGhQwcEBQVh69at0NPTg7+/P5KTkwFA7BgJZWdnIzY2Fhs2bIC3tzd0dXVFyvby8kK7du3YD+pXr15h2bJlsLW1xaRJk8TqXt3fIy0tDSNHjkR6ejoWLlyIDRs2APjYv379+nWRMjZu3Ihx48Zh/fr1Nf4tS0tL2UUgEOD58+cICwtDfHw8RowYweaLjIzEsmXL0KdPH4SGhmLdunVQUFCAt7e3WLQ+d+5cdOzYEcHBwZgwYQKOHDmCn376iV2/ZcsWbNmyBYMGDUJQUBDatWuHJUuWiJRRm/1dvnw5vv76awQHB6Nbt24ICgrC6NGj2RvSqFGjcOzYMezfv/+TxwL42ERa8ZgIF6GXL19i1KhRSEhIgIeHBwIDA9G6dWu4u7vj+PHjImWFhobC1tYWW7duxZAhQ/DmzRuMGzcON2/ehI+PDzZt2gR5eXlMnDiRDUKePHmCGTNm4Ntvv0VQUBDWrl2LV69eYerUqcjPz4eTkxNmzJgB4GMXReUWAQDo2bMnmjRpIjK+R/j/ih8iV69ehby8PHr16iXy/j59+mDp0qUAgEWLFrHbA4Bz587h5s2bWLVqFfz9/ZGZmYkZM2ZINH7J19cXrVu3xqJFi2psgs7Pz8f58+cxfPhwAICjoyMyMzPxxx9/1Lid0aNHo6SkROz6//PPP5Geni4WOAAfg6+q/u417Ze9vT2eP3+OsWPHIjIyEg8fPmTX9enThw32gNpdQ15eXujZsyeCgoKgr68PPz8/uLi4QEdHB1u3bkWvXr2wa9cukQAHAFavXg0VFRVs3boV33//PUJDQ9lrR1JLly6FhoYGAgMDMXv2bFy4cEHkwy44OBgbN25kg2QjIyPMnj27xnIXLlyIo0ePYurUqdi1axd8fHyQmpoKLy8vkeCzpns/wzD48ccfce7cOXh6emLDhg3IzMzE3r17a6yDr68vIiIi4OLigq1bt0JBQQEbN24UyZORkYFx48bh2bNnWL16Nfz9/ZGTk4Px48cjOztbJO+njveMGTMwcuRIAEBERITIvXj79u1QV1fHtm3b2M/AVatWVVtvhmHYc7K8vByA6L1KmAZ8DMR8fHwwZsyYT7a0VLehar169Yrh8/nMxo0bP5WN9fbtW8bExITx9fUVSU9MTGT4fD6zf/9+hmEYZvv27Qyfz2cuX77M5ikoKGCMjY2ZVatWsWl9+/Zl5s+fz77++eefGT6fz6Snp4uUP27cOOaHH35gGIZhbt26xfD5fCYlJUVkPwICApjU1FSR7ZeUlEi9zpVVrPOKFSuY/v37s+tKS0uZnj17MsePH2eOHj3K8Pl8JjMzk2EYhtm5cyfj5eUlUtbr168ZPp/PhISEVHuMqqpnVflu377NGBkZMZs2bWLc3d0ZGxsbJjc3t9r9qKqMOXPmMFZWVsy7d+/YNIFAwDg4ODAjRoxgGIZhMjMzGT6fz8yZM+eTZTMMwyxcuJDh8/lVLn379mVCQ0MZgUDA5l+zZg2zZs0akTLu3LnD8Pl8JjY2lmEYhklISGD4fD6zfv16kXzjx49nhg4dyjAMw7x//54xNjZmVq9eLZJn8eLFDJ/PZ+Lj42u9v+7u7myenJwchs/nM6NHjxYpf/DgwYybm1u1x0NYVnVLUVERwzAMs2HDBsbY2FjsunBxcWG6devGlJSUMAzDMHw+nxk1apRIni1btjDGxsbM48ePRfZp8ODBzNSpUxmGYZhTp04xfD6fef78OZsnLS2NWb9+PZOdnc0wTPXXZkWurq7sdcowDOPg4MCMHDmS6dq1K1NaWsowDMN4eXkxLi4uDMP8728nPP6VXzPMx3OyZ8+e7LFgGIaJjIxk+Hw+c//+/Wrr8sMPPzDjxo1jGIZhrl27xhgaGjJ+fn7s+or3FKGoqCjG0NCQefLkCcMw/7t+Z86cKVY+n89ntmzZIpLm5OTEblNo2bJljK2tLbv/DPO/Y1nd4ujoWO1+CQUFBTFdunRh32NjY8PMnTuXuX79uki+2lxDAQEBbJ4///xT7LouKytjzMzM2Puh8PytfBxXr17NGBkZMW/evGEYRvRvwTCi9xlhGbNnzxYpw9vbmzEzM2MYhmE+fPjAmJqaivz9GIZhli5dyvD5fCYhIaHKY1RcXMxMnjyZ3U+hPXv2MHw+nz23Jbn3X7lyheHz+cz58+fZPKWlpcyAAQPYz5qqpKWlMXw+n9m7d69I+qRJk0Sup/nz5zPW1tbsMWMYhsnLy2NsbGyYZcuWiRyrmo53xc+/iu+reM9imI/3O2tr6yrrzTA1n6cLFy5k827YsIFxcHBgCgoKmJKSEobP5zPbt2+vtuyKPjkmRTjGRNInKm7dugWBQIBhw4aJpFtbW0NPTw9JSUkiUXzFwbYqKipo3rx5rQbUVKVDhw7Q0tLCzJkzMXjwYNja2sLGxqbaAX1fss6DBw9GVFQU/v77b5iYmCAxMRHv379H//79xb5hTZ8+HcDH5sj09HSkp6fjzp07ACBRE+KnBtYBH/t93dzcsGPHDpSXlyM0NBRaWloS7YdQUlISevfuDQ0NDTZNUVERQ4cORXBwsEiTJZ/Pl6jMr776Cjt37gTw8Zvr7t27cefOHSxfvlxs8KhwHEF+fj4eP36MjIwMtkWj8jGqPLC7VatWbHfOzZs3UVJSgu+++04kz9ChQxEdHf1Z+1txe8LBj2ZmZiLlt2jRAu/evavhiAAzZ85Ev379xNKF4w2SkpLQuXNnsfELI0aMwKJFi5CWlsYO2K78d0hISACfz0ebNm3Y1hkej4e+ffti3759EAgEMDMzg6qqKsaMGcNeU5aWlvDx8amx7hX17dsXa9euRWFhId6+fYv09HSEhITA3d0dd+/ehbGxMeLj4zFz5sxaldulSxc0adKEff31118DgEgX9Kd0794d48ePR1RUFBwcHNC9e/cq80VHR8Pc3Byampr48OEDgI/duJGRkcjOzkarVq0+uZ1Ro0bBz88PmZmZaNu2LYqLi3HmzBlMmDChyvF8ISEhVXYBqaqq1rhPHh4emDx5MuLj45GQkICkpCScPn0ap0+fxtSpU7Fw4UIAn38NCe8V5ubmbJqcnByaN28udk4LW56EhN3WN2/elHhsTFXXr7CV+9atWygqKhLrMh82bBiOHj1abZlKSkpsS8fLly+Rnp6Ox48f4/LlywA+vf+V7/1JSUmQl5cX2R95eXkMGjQIoaGh1dZB2M3Yv39/kfShQ4eKtM4mJCTAxsYG6urq7HWqoqKCHj16iLXkfe7xtrKyEnn99ddf4+zZs9Xm79u3L3t/fPHiBWbOnImVK1fC2NgYANjeleTkZOzfvx8RERFQUVGp9ZNOnwxSmjVrBjU1tU8OdCkuLkZeXh60tLTYk7Nly5Zi+Vq2bCl206g8ol5OTq7Oz2+rqqoiKioKO3fuxLlz53Do0CEoKSnBwcEBfn5+aNq0qUj+L1lnS0tL6Ojo4MyZMzAxMcHJkydhZ2dX5ViLN2/eYOXKlbhw4QIYhhEZPCnJ9qran8ocHR0RGhqKZs2aiZ2gknj37l2VgY1w2xU/tCUNgBQUFEQGzllaWmLixInw8PDA/v37RW4UmZmZ8PPzQ3x8PBQUFNCuXbtqg7PK3ZU8Ho89jsJxApW73Co/WVGb/VVTU5OoDpLQ09P75GDCd+/eVfnUWFX1qnxevHnzBhkZGeyNpbI3b96gdevWOHToEHbt2oXo6GiEh4dDVVUVI0eOxMKFCyV+yqhv375YtWoVbty4gRcvXkBbWxv9+vVDy5YtkZSUhNLSUrx9+xb29vYSlSdU+bjKyX3sxa7Y3FyTBQsW4OrVq1i8eDHi4uLE1qemprJfEqp6mu7o0aOYM2fOJ7cxdOhQrFu3DnFxcZg1axYuXryI9+/fY9SoUVXm79Chw2cNnBVSV1fHgAEDMGDAAADAo0ePsHTpUoSHh8PR0RF8Pr9W11BV53TlgKmqc7pyoCW8ziQJ0IU+df0Kx01Uvn6/+uqrGsu9du0a1q5di9TUVKirq6Njx47stirfZz9173/79i00NDTEnhit7uksIUnvPW/evMG5c+eqvE4VFRVFXn/u8a7qb/mpz5oWLVqwgYhw6gwDAwORe9WHDx/g6+sLFxcXdO7cucquoZqesq3x6R5bW1skJiaiqKioysf0zpw5g4ULFyIsLAzNmjUD8DEqrfyNLTc3F126dKlpc58kvAAqt+zk5+eLPBLbtm1b+Pv7g2EY3L9/H6dPn8aePXvQrFkzsSeU6rvOFcnJyWHgwIE4e/Ys5syZgwsXLlQ7x8n8+fPx8OFD7N27F2ZmZlBSUkJhYeEnvxnUBsMwWL58OVq1aoUPHz5g1apV2LRpU63KaNasGV68eCGWnpubCwBo3rx5nQdeKSoqYt26dRg2bBgWLlyIU6dOoUmTJigvL8ePP/4IRUVFREdHo2PHjlBQUEBaWhp++eWXWm1DeBG/fPkSHTp0YNMrDpwGare/kgYg0lBTvYQ3kqo0bdoUFhYW1bY0Ct/bqVMnbNmyBWVlZbh9+zaOHz+OgwcPonXr1nB1dZWonq1btwafz8e1a9fw+vVr2NjYgMfjwdraGklJScjPz0e7du3YlpAvSVVVFWvXroWLiwvWrl0rtj46OhrKysoICwsTa/XYsGEDjh07hlmzZol9YFSkrq6OgQMHskHK8ePH0b17d7Rt21Zq+/H8+XM4OjrCw8MDzs7OIuu+/fZbLF68GE5OTkhLS0P79u1rdQ197jld+Tp6+fIlAMmCCEkIx9xVvn5ruvcIx1r1798foaGhaNOmDXg8HiIjI3H16tVa1UFTUxPv3r1DSUmJyDlQed+rep+w7hXP+8rva9q0KWxsbGp8kqyq90r7eNfG33//jczMTISHh4sMkAc+jo8LDQ3Fr7/+ijZt2lRbRo1P90ydOhXv3r2r8gPs7du3CAkJga6uLnr27IkuXbpASUlJ7JvIjRs3kJ2dXee5VIQtDhUHCr148QKPHz9mX589exbdunVDbm4ueDweOnXqhPnz5+Pbb7+tskWovutc2eDBg5GVlYWwsDAwDFPtINKUlBT0798f1tbW7DfV33//HYBohC/81lhbkZGRuHbtGlavXo0FCxYgLi4O586dq1UZVlZWuHLlikhrU2lpKU6fPg0jIyOJmqUloa+vj+nTpyMzMxNhYWEAPl6Ijx8/hqOjI0xMTNhoXHiMavMt2tzcHCoqKjh16pRI+q+//iry+kvtb21ZWVnhzp07ePLkiUj6iRMnoKmpCQMDg2rfa21tjcePH0NfXx+dO3dml9OnT2Pfvn1QVFTEvn370LdvXxQXF0NeXh7m5uZYuXIlVFVV2WtK0vPQzs4O165dQ0pKCrp16wYA6NatG5KTk3Hp0qVPtqJIe4qDyqysrODi4oLo6Gikpqay6QKBACdOnICdnR1sbGxgaWkpsowePRovXrwQO1+qMmrUKDx69Ag3btzA9evXqxwwWxdaWlpQVlbGoUOH2C6pitLS0gB87PaT5jX0KRcuXBB5ffbsWTRp0kSkq6guOnbsiKZNm+L8+fMi6TXdz/7++28UFxdj6tSpaNu2LRuEXblyBUDt9r9Hjx4oLy8X67av6Zzo3r07eDxejfcea2trttu24nUaEREhNs9WTcf7cz8zPoexsTGio6NFFuEX7TFjxiA6OrrG1qYaW1KEj0QFBgbi0aNHGD58OFq2bIm0tDTs378fb968wYEDB6CgoIDmzZtj+vTpCA4OhqKiIvr164esrCxs374dBgYGVY76r43u3btDVVUV69atw5w5cyAQCLBz506RLpyuXbuCYRjMmDED06ZNQ7NmzXD16lX8+++/VUah9V3nyszMzKCnp4effvoJw4YNq7ap3NTUFCdPnoSxsTF0dXXx559/Yvfu3eDxeCJjYDQ0NPDgwQNcv35d4lHTGRkZ2LRpExwdHWFrawsAiIuLw4oVK2BpaSlxxO3h4YErV67ghx9+wPTp09GkSRNEREQgMzOTHVciLT/++CNiY2Oxa9cujBgxAm3btoWenh4OHToEXV1daGho4I8//sDBgwcBQOSprJqoqqqyI/KVlZXRq1cvpKSk4MiRIw22v7UxZcoUnDhxApMnT8asWbOgqamJ2NhYJCYmwt/f/5Mf7sL3Tpw4EVOmTMFXX32FixcvIioqCnPmzAGPx0O3bt2wefNmzJgxA87OzlBSUsLJkydFxgEIx+lcuHABDg4O1baG2NnZsYGm8Hzt1q0bPnz4gPv374u1dFYkvM6vXLkCLS0tkW/N0jJ//nxcuXIF6enpbNpvv/2GN2/eYOjQoVW+Z9CgQVizZg2ioqKqnEqgIktLSxgYGGDZsmVo2rSp2FiEiu7evVtlCxnwcUyGnp6eWLq8vDz8/Pzg7u6OkSNHYsKECejQoQNKSkqQmJiIyMhIjB8/Hu3btwcAqV1Dn3Lx4kX4+fmhb9++SExMRFRUFDw9PaU2YZu6ujqmTZuGbdu2QUVFBTY2Nrhx4wYOHz4MoPoPZWNjYygoKGDz5s2YPHkySkpKEBMTwwZptdl/Gxsb2NnZYcWKFXj16hUMDAwQExMj8mRVVdq2bYsJEyYgJCQEJSUl6NKlC3799Vc2UBLy8PDA2LFjMXXqVDg7O0NFRQU///wzzp07J/akVE3HW3itnjx5kv2iUFdt2rTBgwcPxNLV1dXFuqqFY1K0tbUlmhNHopBqxowZ2L17N5SUlNib1cGDB9GtWzecOHFCZEOenp7w8/NDSkoK3N3dsWPHDgwcOBCHDx+usk+zNtTV1RESEgJFRUXMnTsXW7ZswdixY0W+fWlrayM8PBxfffUVVq1ahRkzZuDatWsICAgQeXy1ovqsc1UGDx6MkpISscG6Fa1btw7m5uYICAjA7NmzcfnyZfj5+aF3795ISUlh87m5ueHFixeYNWsWnj17VuO2y8vLsXDhQqipqYnMNeHv74/CwkIsW7ZM4v3o0KEDDh06BB0dHSxbtgw+Pj7g8XjYv3+/2COkddWkSRMsXrwYxcXFbHN8aGgoWrVqhSVLlmD+/Pm4c+cOQkJC0L59e/YxbUm5urpi5cqVuHr1Kjw8PJCYmCj2PP+X3N/a0NLSQlRUFExNTbFhwwZ4eXnh+fPnCA4OrvGbura2Ng4fPgwDAwMEBATA3d0dKSkpWLFiBWbNmgXg4zfVsLAwlJSUYNGiRfD09GQHvVpbWwP4+AVC+Gjznj17qt2eubk5WrRoAT09PbabQ19fH61bt0aLFi0++e26Q4cOGD58OCIjI2v9CKuklJWVsW7dOpEPtujoaDRt2rTaVk91dXX0798fCQkJNX4oAR9nvH78+DGGDx/+yfE8Xl5ecHZ2rnKJioqq9n19+vRBdHQ0TExMsG/fPri5uWHu3Ln4888/sXz5cqxYsYLNK81rqDpz5szBs2fP4OnpiV9//RVLly5lzy1pcXNzg6enJ06dOgV3d3fcunWLnduruhZOfX19bN68GS9evICnpydWrlwJOTk5REREgMfj1Xr/t2/fjjFjxmD37t2YO3cu5OTkJBoELjweMTEx8PT0xNOnT8W6X/l8Pg4dOgRVVVUsXrwYc+fOxbNnz7B161axgbI1HW/hT5ssXboUJ06cqNU+NgQeU9eRqoQQQkglwllI/f39pd6tVVFpaSliY2PRo0cPkZnEDx48iICAACQmJoo9MNEYfanj/aV9uR+vIYQQQqRMQUEB+/btQ0REBNzc3NCiRQukpqZi+/btGDlyJCcClMaMghRCCCH/aTt27MCWLVvg7++PvLw89qkz4XxT5L+LunsIIYQQIpO+3LNIhBBCCCG1QEEKIYQQQmQSjUkhhBAi83jfVT8raWXMhax6rAn5kihIIXVSmxsHafyEHw5FZXX7oVDSuCjLS2E25i/4UxNEdlCQQgghRPbR4AROoiCFEEKI7KOWFE6iIIUQQojsoxiFkyhIIYQQIvvkKUrhIgpSCCGEyD7q7uEkClIIIYTIPopROImCFEIIIbJPjice7H8AACAASURBVKIULqIghRBCiOyjGIWTKEghhBAi+2hMCidRkEIIIUT20dM9nERBCiGEENlHMQonUZBCCCFE9lF3DydRkEIIIUT20dM9nERBCiGEENlHMQonUZBCCCFE9lFLCidRkEIIIUT2UZDCSRSkEEIIkX0Uo3ASBSmEEEJkHz3dw0kUpBBCCJF9cg1dAdIQ6M9OCCFE9vF4ki+18OjRIxgaGootx44dAwDcu3cPLi4uMDMzg52dHfbs2SPy/vLycmzfvh29evVCly5dMHXqVGRkZIjkkUYZXEVBCiGEENknx5N8qYUHDx5AXV0df/zxh8gybNgwvH79GpMnT4a+vj5+/vlnzJkzB9u3b8fRo0fZ94eEhCAqKgr+/v44cuQI5OXl4erqiuLiYgCQShlcRt09hBBCZF89faVOTU1Fu3btoKWlJbZu3759UFRUhJ+fHxQUFNCuXTtkZGQgLCwMY8aMgUAgQHh4OLy9vdGnTx8AQGBgIGxtbXHmzBmMGDECR48erXMZXEYtKYQQQmRfPXX3PHjwAO3atatyXXJyMiwtLaGg8L/v8zY2NsjMzEROTg7u3buHgoICdOvWjV2vrq4OIyMjJCcnS60MLqOWFEIIIbKvFrFHXl4e8vLyxNI1NDSgoaEhkpaamgp9fX2MGzcOT548wTfffINZs2bB1tYWOTk5aN++vUh+bW1tAEB2djZyc3MBADo6OmJ5srOzAUAqZXAZBSmEEEJkXy3Gmuzfvx/BwcFi6R4eHvD09GRfFxQUICsrC5qampg/fz7U1NRw4sQJTJs2DeHh4SgqKoKSkpJIGcLXxcXFKCwsFEmrmEcgEACAVMrgMgpSCCGEyL5adONMmjQJjo6OYumVW1FUVVWRkpICRUVFNkgwMTHBw4cPsXv3bigrK4sFCsLXqqqqUFZWZtMqBhkCgQCqqqoAIJUyuIyCFEIIITKPV4uWlKq6daqjpqYmlsbn83Hp0iW0bduW7Y4REr7W1dUFwzBsmrq6ukgeYRePrq5uncvgMho4SwghRObxeDyJF0ndvHkT5ubmuH37tkj633//jQ4dOsDKygopKSkoLS1l1yUkJOCbb76BlpYWOnbsCHV1dSQlJbHr8/Pz8c8//8Da2hoApFIGl1GQQgghRObVx8M9JiYmaNOmDZYtW4aUlBQ8fPgQ/v7+uHnzJmbOnAknJycUFhZi8eLFSEtLQ2xsLPbt2wc3NzcAH8eN/PDDDwgMDMTFixdx//59eHl5QUdHBw4ODgAglTK4jMcI25oI+Qy879o0dBWIDGEuZAEAisoKGrgmRJYoy9d9bIXSPDOJ8wq23JI4b05ODjZv3oz4+Hjk5eXB2NgY8+bNY1sx7ty5gzVr1uDu3bvQ0tLC5MmTMXHiRPb9ZWVlCAwMRExMDAoLC2FhYYEVK1agbdu2bB5plMFVFKSQOqEghVREQQqpijSClCbzzSXOW7z5Zp23R2QDDZwlhBAi8+TkaHQCF1GQQgghRObVciJZ0khQkEIIIUTm1eapHdJ4UJBCCCFE5lGQwk0UpBBCCJF5vNr8eA9pNChIIYQQIvOoJYWbKEghhBAi8+RrMS0+aTwoSCGEECLzqCWFmyhIIYQQIvMoSOEmClIIIYTIPIpRuImCFEIIITKPWlK4iYIUQgghMo+CFG6iIIUQQojMo9/u4SYKUgghhMg8akjhJgpNCedoNm0O5kKW2HJs2U42z1i773E77CIKT6Uhdd9VeAyfIlJGc/VmCPPagKeHk/Hq578Ru3IPDHS/rnabfUy7o+zcE/Qx7S6S3r9rLyQGnUThqTQ8jriOxRM8qVn7P+ryb5fR3bJntevfvHkDu559sSP4py9Yq8aDx+NJvJDGg1pSCOd0aWcEAHDwnYC8gnw2/VXeGwDAmD7DcGhRMDZHh2FO6G/oZ26LII/VyCt4jwMXogEAUYtDYN7eGAvC/PH6/VusmuSNXzccRufp/fGhqEBke8pKytg9b6NYc7WtiTXOBETg99sJcFo5HVrNv8Laqb74WksPM7b51uchIFJ26+YtLF64FAzDVJtnfcAGvHnz9gvWqnGh4IObKEghnGNq0AnPX+fiQsqVKtdv+HEJQuMOwGeXPwDg0q1r+EanLb7r2hsHLkRDq/lXGGhlh6mb5iPi4s8AgNSsR0jddxUDrfri56unRMrzn7IAykpNxLbjM2YmMnOfYciSSSguKQYAZL/OxZk1EdgeG45/MlKludukHggEAkRGHELI9lCoqKigvLy8ynyXL/2O6/EJaNJE/DwgkpGjIIWTqLuHcI7pt51w+/G9KtdZ8E2hr9MGYaciRdJ/WOcJl/WzAQDKih8/aKpqhdFs2lzkfVaGZpgxxAXzd64S2xa/zbf4/U4CG6AAwB9/J0FOTg4DLPt8xp6RL+2PK/HYsyscXt5zMd55XJV53r9/jzWrAjDfxwtKSopfuIaNh5wcT+KFNB7UktKIvX79GkeOHEFycjKys7NRXFwMVVVV6OrqwtraGqNHj0bz5s1rLqiRMf22E4oExYjfGouuHUzw8t0bbI8Nx8ajO2Bq0AkAoCAvj8ubo9G9U1fkvHmJtYeDsSPuAAAg88UzxF2/gCUTPPF3+n28fv8WgTP88O5DHk4n/cZuR1FBEeHzNyHgcBAeZD0Uq0fmi2f4WktPJE04ruUbnbb1tftEiow7G+P0+VPQ0Gha7ViTLRsD8W27b/H9iO+xYe3GL1zDxoN+BZmbKEhppO7cuYNp06ZBTU0NlpaW6NSpE5SUlCAQCJCbm4uoqCiEh4dj79696NixY0NX94vh8Xgw+pqPD0UF8A5bjSe5zzDY2h5rp/pCWakJiksEKC0rxYlVexEatx8rI7bAsecghM4OwKu8Nzj6exwAYE7oClxYfwj3w38HABQWF2Hoskl4+jKb3dZS5zkoZxhsOLIDxt/wxepy8NcY7FsQiEXjPbDz5EFot2iJsLnrUSwohpqy6pc5IKROdHS0P7k+MSEJZ06dRfQvx75QjRovGpPCTRSkNFJr1qyBvb091qxZU+X8AuXl5ViyZAn8/f1x8ODBBqhhw+DxeBi6bBKe5D7Dw2fpAIDLf12DuooqFo6ZhbWHg6Egr4Cw05FYGxUM4OOYFAPdtljh4oWjv8eh9Ve6uL79F+S+fQWnldORV/AePw6egOMrdsNhkTMS7/0Jk286YsHoGegzfxRKy0qrrMv+88dgoPs1/FzmIWCqL/ILP2DRnnX4WlsPBcWFX+qQkHpSWFiIVStWY6bHDLRpo1fzG8gnUZDCTTQmpZG6d+8epk2bVu0ESHJycpg2bRru3r37hWvWsMrLy3Hp1jU2QBE6e+My1FRURV5XdOHPq+C3+RaKCoqYMmAMWqg3w8BFPyDmj9O4+OdVjPWfibsZqdgwbTHk5OQQ7r0Ju04fwp//3oG8nDzk5eQBAPLyciJ/E78Dm9FshBGMXPtCZ4wZQk7sg66mFl6/p6dA/uuCt4VAXV0d453HobS0FKWlH4PVcqac/T+RHI8n+UIaDwpSGiktLS08ePDgk3lu377NuTEprb7SwY+DndGymaZIukoTZQBAek4WAEBJQXSAo6K8Anjgoby8HG21WiPzxTM8e/VcJE/83Rsw0uejrVZrWBmaYbbjVJSey0DpuQykhJ4BAPy64Qh+3XAEwMdBtUNs+qFIUIR7T/5FQVEhjPUNoSCvgFsPuRU8Nka/XfwN9+/dh5WZDSxMrWBhaoX37/MRtmMXLEytGrp6/zk0Two3UXdPIzVlyhQsWbIE9+7dg7W1NXR1dUXGpCQlJWH//v2YO3duQ1f1i2qiqIQwr/VQU1bB1pjdbLpTr8F4kPkQJ66fR2FxEUb3GYr4uzfY9UNs+uFG6l8oKy9D6tNHmDpwLPRathIZg2LT0RyPnz/Bs1c5sHQfLLJdvt63OLQ4GG5bF+LyX9cBAP272sJr5I9oM8EKghIBAMB9+CS8L8hn85D/ru2h2yAQCETSpk2ejkFDBsJp9MgGqtV/F02Lz00UpDRSzs7OUFFRwc6dO7Fr1y6RbxcMw8DAwABLlizB6NGjG7CWX17680wc+i0WqycvQDnD4N6TfzG691A42Q7GCD9XvC/IR0BUEPxc5iHvw3v8fjsBY+2+Rx/Tbhi8ZCIAIPzsEcx1nIYzARFYdTAQeQX5mNh/FHoaW2GEnytKSkuQknpbZLvCcSkPMh8hNesRAODgxRgsGueBvd5bsOdsFPqZ22LGUBf47FqDt/nvvuyBIVLXgd9BLE1eXg5aWlowNjFugBr9t1EDCTdRkNKIjRw5EiNHjsSrV6+Qk5ODwsJCKCsro1WrVtDU1Ky5gEbKdbM3lv0wB3MdXdHqK23ce5IGp1XTEXf9AgDAP3Ib3n14D88RU7BgzAykZj2G06rpOJd8GQDwNv8dbL0cscltGXZ5bQCPx8NfD/+B/YKx+P225C0gmS+eYfCSidjsthwnVu5F5otnmLltEX46GVEfu03Ifxp143ATj/nUPM6E1ID3XZuGrgKRIcyFj2N6isoKashJuERZvu6P1HfaNrjmTP/v3pzTn7WNx48fY+TIkVi8eDHbypyVlYXVq1fjxo0bUFZWhqOjI7y8vKCg8L/v+JGRkQgPD8eLFy/QqVMnLFmyBKampux6aZTBVdTJRwghRObV98DZkpISeHt7o6DgfwG2QCCAq6sreDweDh8+jNWrVyM6OhpBQUFsnpiYGGzcuBFz585FTEwMDAwMMG3aNLx69UpqZXAZBSmEEEJkXn0/ghwUFAQ1NTWRtHPnzuHp06dYv349+Hw++vXrB29vbxw4cABFRUUAgJ07d2LChAkYNmwY2rdvjzVr1kBdXR2HDx+WWhlcRkEKIYQQmScnJyfxUls3btzAkSNHsH79epH05ORkdOrUCc2aNWPTbGxsUFBQgLt37+Lly5dIT0+HjY0Nu15eXh4WFhZITk6WWhlcRgNnCSGEyLzadOPk5eUhLy9PLF1DQwMaGhpieX18fLB06VK0atVKZF1OTg50dXVF0rS1P/4UwvPnz6Gs/HF+pary3LlzR2plcBkFKY2Us7OzxHkjIyNrzkQIIQ2oNt04+/fvR3BwsFi6h4cHPD09RdL8/PxgZmaGYcOGieUvKioS6wJSUlICABQXF6OwsFAkrWIe4Rw50iiDyyhIaaS+/vrrhq4CIYRITW1aUiZNmgRHR0ex9MqtKLGxsUhOTkZcXFyV5SgrK4sFCsLXqqqqbCtIVXlUVVWlVgaXUZDSSK1du7ahq0AIIdJTiyClqm6dqvz888949eoV7OzsRNJXrVqFffv2wcrKCvfu3RNZl5ubC+Bj90zr1q3ZNENDQ5E8Ojo6bL66lsFlFKRwxMuXL/Ho0SOUlZWxaQKBAH/99Rdmz57dgDUjhJCayclJfzK3TZs2sU/YCDk4OMDDwwNDhw7FrVu3EBMTg7y8PDboSUxMhJqaGoyMjKCkpAQDAwMkJSWhV69eAICysjKkpKRg7NixAAArK6s6l8FlFKRwQGxsLJYtW4aSkhLweDwwDMM2nerp6VGQQgiRefUx42x1LRWamprQ09NDy5YtsXXrVnh5eWHBggV49uwZNm/ejClTprBjSKZOnQp/f38YGBjA1NQUe/bswYcPH9jJ4Pr371/nMriMghQOCAsLw9ChQ+Hm5oYxY8Zg7969yMnJwcqVK8UGkRFCiCxqiGnxmzRpgt27d2PVqlUYM2YMNDQ0MHbsWLi7u7N5xowZg/z8fGzbtg1v376FsbExwsPD2Z8ekUYZXEbT4nNA586dERsbi3bt2sHFxQXTp09Hr169cP78efz000+IiYn57LJpWnxSEU2LT6oijWnxrcJHSZz3xtToOm+PyAaazI0DlJSU2GZFfX19PHjwAABgYmKCjIyMhqwaIYRIpL5nnCWyiYIUDjAxMWGnV+7QoQPi4+MBAP/++y8UFRUbsmqEECKR+v7tHiKbaEwKB3h6emLatGnQ1NSEo6MjQkJCMGDAAOTm5mLIkCENXT1CCKnR50x3T/77KEjhAEtLS5w7dw4CgQCampo4dOgQDh8+jFatWsHFxaWhq0cIITWiFhJuoiCFIyo+ate+fXssXbq0AWtDCCG1QzEKN1GQwgETJ0785PoDBw58oZoQQsjnoZYUbqIghQMqT1hUWlqKjIwMPHr0qMYAhhBCZAEFKdxEQQoHbNy4scr0wMDAKn/OnBBCZA0FKdxEw6U5bNSoUTh16lRDV4MQQmokJ8eTeCGNB7WkcFhaWhpowmFCyH8CtaRwEgUpHODj4yOWlp+fj+vXr2PgwIENUCNCCKkd6u7hJgpSOCA7O1vkNY/Hg6KiIlxdXTFlypQGqhUhhEiOenG4iYIUDoiIiKh23YsXL6CmpvYFa0MIIbVHLSncRANnOaBTp054/fq1WPqzZ8/g4ODQADUihJDakZeTk3ghjQe1pDRSp0+fxtWrVwEADMPA398fTZo0EcmTlZUFVdW6/4Q6IYTUNwo9uImClEbKzMwMkZGR7NM7WVlZUFD435+bx+NBTU0Na9eubagqEkKIxOSou4eTKEhppFq3bo3IyEgAgIuLC0JCQqChodHAtSKEkM9DY1K4iVrQOCAiIgI3btzApUuX2LSlS5fi999/b8BaEUKI5OR4PIkX0nhQkMIBx44dw5w5c/D06VM2TSAQwN3dHadPn27AmhFCiGR4PJ7EC2k8qLuHA/bs2YMVK1Zg9OjRbNqGDRtgYWGBHTt2YPDgwQ1YO0IIqZkCBR+cRC0pHJCdnY1u3bqJpffo0QNPnjxpgBoRQkjtUEsKN1GQwgF6enpISEgQS09JSYG2tnYD1IgQQmqHxqRwE3X3cICzszMCAgLw5MkTdOnSBQBw584dHDhwAJ6eng1cO0IIqRmFHtxEQQoHODs7o6ioCPv27cOuXbsAANra2vD29saAAQMauHaEEFIzaiHhJgpSOMLV1RWurq548+YNFBUVcffuXURFRWHdunW4c+dOQ1ePEEI+iaa75yYKUjjk/fv3iIuLw+HDh/H48WMoKSnB0dGxoatFCCE1opYUbqLQlAPu3LmDJUuWoHfv3ggICMDjx48xceJEXLp0CatWrWro6hFCSI14tVhqIycnB/PmzYONjQ3Mzc0xffp0/Pvvv+z6e/fuwcXFBWZmZrCzs8OePXtE3l9eXo7t27ejV69e6NKlC6ZOnYqMjAyRPNIog6soSGmkioqKEB0dDScnJ4wePRpnz56Fg4MDdu7cCXl5eYwePRqampoNXU1CCJFIfTzdwzAMfvzxRzx//hx79uxBdHQ0lJWVMXnyZHz48AGvX7/G5MmToa+vj59//hlz5szB9u3bcfToUbaMkJAQREVFwd/fH0eOHIG8vDxcXV1RXFwMAFIpg8uou6eR6t27N8rLy9G7d2+4ubnBzs4OSkpKAMD+6CAhhPxX1Ed3z8uXL9GuXTvMnj0bBgYGAIBZs2Zh+PDhSE1NRWJiIhQVFeHn5wcFBQW0a9cOGRkZCAsLw5gxYyAQCBAeHg5vb2/06dMHABAYGAhbW1ucOXMGI0aMwNGjR+tcBpdRS0ojVVpaCjU1NSgrK6OkpASlpaUNXSVCCPls9TGZm5aWFgIDA9kA5eXLl9izZw+0tbXB5/ORnJwMS0tLkV+Qt7GxQWZmJnJycnDv3j0UFBSITJaprq4OIyMjJCcnA4BUyuAyaklppOLj43H27FlER0cjJiYGysrK6NOnDwYPHkwzMhJC/nPk6/m+5evri+PHj0NJSQk7duyAmpoacnJy0L59e5F8wgkws7OzkZubCwDQ0dERy5OdnQ0AUimDyyhIaaRUVFTg6OgIR0dHpKenIzo6Gr/88gvOnTsHHo+HPXv2YNq0aWjXrl1DV5UQQmpUm+6evLw85OXliaVraGhAQ0Ojyve4urrC2dkZhw4dgru7OyIjI1FUVMR2kwsJXxcXF6OwsFAkrWIegUAAAFIpg8soSOGAb775Bt7e3pg3bx4uX76MmJgYxMXFITY2Ft26dcPevXsbuoqEEPJJtQlS9u/fj+DgYLF0Dw+PamfZ7tChAwBgzZo1+OuvvxAREQFlZWWxQEH4WlVVFcrKymxaxSBDIBBAVVUVAKRSBpdRkMIhcnJysLe3h729PV6/fo3jx48jJiamoatFCCE1qk039aRJk6qcA6pyK0pubi4SExMxdOhQtnw5OTm0b98eOTk50NXVZbtjKr4HAHR1ddmHEHJzc6Guri6SR9jFI40yuIwGznKUpqYmXF1dcerUqYauCiGE1EiuFouGhgbatGkjtlQOUrKzs+Ht7Y2UlBQ2raSkBP/88w/atWsHKysrpKSkiDx4kJCQgG+++QZaWlro2LEj1NXVkZSUxK7Pz8/HP//8A2trawCQShlcRkEKIYQQmVcfT/d07twZNjY2WL58OZKTk5GamoqFCxfi7du3mDx5MpycnFBYWIjFixcjLS0NsbGx2LdvH9zc3AB8HDfyww8/IDAwEBcvXsT9+/fh5eUFHR0dODg4AIBUyuAyHkOTZpA64H3XpqGrQGQIcyELAFBUVtDANSGyRFm+7mMr5v/hI3HezbYbJM777t07bNq0CZcuXcL79+9haWkJHx8fGBoaAvg4Y/eaNWtw9+5daGlpYfLkyZg4cSL7/rKyMgQGBiImJgaFhYWwsLDAihUr0LZtWzaPNMrgKgpSCCGEyDzv+IUS593Uc3091oR8STRwlhBCiMyTq/Wv8pDGgIIUUifUrE8qEjbr03lBKpJGdw9NQslNFKQQQgiRefXx2z1E9lGQQgghRObJ8ehhVC6iIIUQQojMo5YUbqIghRBCiMzj0bRenERBCiGEEJlHLSncREEKIYQQmUdP93ATBSmEEEJkHo/mSeEkClIIIYTIPHk5GpPCRRSkEEIIkXlyNHCWkyhIIYQQIvNoTAo3UZBCCCFE5lGQwk0UpBBCCJF59AOD3ERBCiGEEJlHLSncREEKIYQQmSdPv93DSRSkEEIIkXn0A4PcREEKIYQQmUfdPdxEQQohhBCZRzPOchMFKYQQQmQe/cAgN1GQQgghRObRwFluoiCFEEKIzONRkMJJFKQQQgiReTQmhZsoSCGEECLzaEwKN1GQQgghRObRI8jcREEKIYQQmUe/3cNNFKQQQgiReXJy8g1dBdIAaLg0IYQQmScHnsRLbeTn5yMgIAD29vYwNzfHyJEj8euvv7Lrs7Ky4Obmhq5du6JHjx7YuHEjSktLRcqIjIxEv379YGpqirFjx+L27dsi66VRBldRkEIIIUTm8Xg8iZfaWLRoES5fvgx/f3/ExsbCwcEBHh4euH79OgQCAVxdXcHj8XD48GGsXr0a0dHRCAoKYt8fExODjRs3Yu7cuYiJiYGBgQGmTZuGV69eAYBUyuAyHsMwTENXgvx3FZUVNHQViAxRllcFQOcFESU8L+oi8t+9Eud17jBFonwvXryAra0tdu7cCTs7OzZ90qRJaNmyJezs7LBo0SLEx8ejWbNmAIBjx44hICAA169fh7KyMgYMGIB+/frBx8cHAFBWVobvvvsOTk5OcHd3R1xcXJ3L4DJqSSGEECLz6qMlRUVFBbt27YKlpaXYtt69e4fk5GR06tSJDS4AwMbGBgUFBbh79y5evnyJ9PR02NjYsOvl5eVhYWGB5ORkAJBKGVxGA2cJIYTIvNqMNcnLy0NeXp5YuoaGBjQ0NNjX6urq6N27t0ieW7duISEhAUuXLsUff/wBXV1dkfXa2toAgOfPn0NZWRkAqsxz584dAEBOTk6dy+AyClIIIYTIPDme5E/37N+/H8HBwWLpHh4e8PT0rPZ9Dx8+hIeHB7p06YKxY8fi4sWLUFNTE8mjpKQEACguLkZhYaFIWsU8AoEAAFBUVFTnMriMghRCCCEyrzbdOJMmTYKjo6NYesVWlMpu3LgBDw8PtG7dGjt37oSioiKUlZXFAgXha1VVVbYVpKo8qqofx+FIowwuozEphBBCZB6vFv80NDTQpk0bsaW6IOXEiROYMmUKjI2NERERgebNmwP42AWTm5srklf4WldXF61btxZJq5hHR0dHamVwGQUphBBCZF59PYIcFxcHHx8fDBo0CDt37oS6ujq7zsrKCvfu3RMZ35KYmAg1NTUYGRlBU1MTBgYGSEpKYteXlZUhJSUF1tbWUiuDy+T9/Pz8GroS5L+rlClp6CoQGaIgpwiAzgsiSnhe1MWDt3clbknp1MJEojKfP38OV1dXWFhYwM/PD8XFxSgoKEBBQQFKSkpgaGiIEydOICEhAYaGhrh9+zb8/f0xceJE9OjRA8DHsSNBQUHQ0dGBoqIiNm/ejNTUVAQEBEBFRQX6+vp1LoPLaEwKIYQQmVebgbOSOn/+PAoLC5GQkIBevXqJrOvatSuioqKwe/durFq1CmPGjIGGhgbGjh0rMnfJmDFjkJ+fj23btuHt27cwNjZGeHg4NDU1AQBNmjSpcxlcRpO5kTqhSbtIRTSZG6mKNCZzO5ERLXHe7/VH1Xl7RDZQSwohhBCZx6NfQeYkClIIIYTIPLlaDogljQMFKYQQQmQetaRwEwUphBBCZF5tHy0mjQMFKYQQQmRefTzdQ2QfBSmEEEJkXm1+YJA0HhSkEEIIkXnU3cNNFKQQQgiReTRwlpsoSCHkM1z+7TIW+SzB9eR4Nu3Vq9fYtH4zrl65CgCw6WaNeQvmQU+vdUNVk9SzG0nJmDb5x2rXn7lwCk2Ulem8kAJqSeEmClIIqaVbN29h8cKlqDhZc4mgBNOnuuHVy5eYO28OWrXSxaGDUZjkPBnRsUfZX1UljUsno46IiNovklZcLID33AXoaNQRWlpaGDd6Ap0XUiBPA2c5iYIUQiQkEAgQGXEIIdtDoaKigvLycnbd75d/R9q/aQgNC0FP248/GmZlY4Xhg0dg7+598PKe21DVJvVIXV0dpl1MRdI2rN0IHg9Yu2ENnRdSRN090unagwAAEehJREFU3CTX0BUg5L/ijyvx2LMrHF7eczHeeZzIuoz0DMjLy8Om2/9+Wl1JSQnGJsaI/+Pal64qaSAP0x7i8KEjcJ/tDk1NTTovpIjH40m8kMaDghRCJGTc2Rinz5+Cs8sEsRuhjq4uysrK8CL3hUj606dP8ezpsy9ZTdKAgraFQF//aziNHgmAzgtp4tXiH2k8KEghREI6OtrQ0Gha5bqevXqgRYvmWOK7FI8ePsLbt2+xI/gnpP37EIWFhV+4pqQhZGU9xe+XfofLFBfIyX28tdJ5IT3UksJNNCalkerTp4/EF+vly5frtzIc0KJFC2zZvgVLfJfCcZgTAKC3XW+MHOWIE7FxDVw78iXEHIuBhoYGhg4bwqbReSE9cvSdmpMoSGmkfHx8sHjxYnz77bfo169fQ1eHE7pamOP0+ZN4mvUUikpK0NHRxrLFK9CsmUZDV418AZd+vYS+/eygpKQkkk7nhXTI8ShI4SIKUhqpIUOGoEmTJvDy8sLatWvRsWPHhq5So/bmzRtcuXwV3zn0R5u2bdj0f1P/hWFHwwasGfkSsp9l49Gjx5i3wEsknc4L6aFuHG6i0LQR69+/P4YMGYLAwMCGrkqjV1JSguVLVuDatets2l+3/sK9f+6hT9/eDVgz8iX8fedvAEDnLp1F0um8kB4aOMtN1JLSyC1duhRZWVkNXY1GT1tbG3Z9+2Dzhi3g8XgoKSnBxrWbYGjIx7DvhzV09Ug9S/v3IVq0aC42ORudF9JDwQc3UZDSyKmrq1NXzxeyas1KbFi3ESuXrYKcHA+9+vSGl/ccKCopNnTVSD17/fo1mjat+skvOi+khLp7OInHVJzbm5BaKioraOgqEBmiLK8KgM4LIkp4XtRFysvrNWf6fxYtu9d5e0Q2UEsKIYQQmUdP93ATBSmEEEJkHo1J4SYKUgghhMg8egSZmyhIIYQQIvOoJYWbKEhppJydnSXOGxkZWY81IYSQuqMghZtoJFIj9fXXX0u8EEKIrJPjyUm8fK6dO3di/PjxImlZWVlwc3ND165d0aNHD2zcuBGlpaUieSIjI9GvXz+Ymppi7NixuH37ttTL4CpqSWmk1q5d29BVIIQQqanvMSmRkZEIDAyEubk5myYQCODq6goDAwMcPnwYmZmZWLx4MRQUFODl9fEnEGJiYrBx40asXr0anTp1wu7duzFt2jScOXMGX331lVTK4DKaJ4UjXr58iUePHqGsrIxNEwgE+OuvvzB79uzPLpfmwyAV0TwppCrSmCfl3tu/JM7bqXkXifPm5ORgxYoVSExMhK6uLpo3b46oqCgAQFxcHBYtWoT4+Hg0a9YMAHDs2DEEBATg+vXrUFZWxoABA9CvXz/4+PgAAMrKyvDdd9/ByckJ7u7uUimDy6glhQNiY2OxbNkylJSUgMfjgWEY9luJnp5enYIUQgj5EuprTMrdu3ehpqaGEydOICQkBBkZGey65ORkdOrUiQ0uAMDGxgYFBQW4e/cu9PX1kZ6eDhsbG3a9vLw8LCwskJycLLUyuIyCFA4ICwvD0KFD4ebmhjFjxmDv3r3IycnBypUr4enp2dDVI4SQGtWmuycvLw95eXli6RoaGtDQ0BBJs7e3h729fZXl5OTkQFdXVyRNW1sbAPD8+XMoKysDQJV57ty5I7UyuIyCFA7IzMxEUFAQvvnmGxgaGuL169ewt7dHaWkpfvrpJwwfPryhq0gIIZ9Um5aU/fv3Izg4WCzdw8OjVl/MioqKoKamJpKmpKQEACguLkZhYaFIWsU8AoFAamVwGQUpHKCkpMReAPr6+njw4AF69eoFExMTkaZNQgiRVbV5amfSpElwdHQUS6/cilITZWXl/2vv/mOirB84gL8f5Q64AxQEDikDvRTQCtqUMWdQ2JAotlyyZRaBNHEzRG0lG1QW5I+VgRmzWmhdIogMlwTVsqmlCzD7I4a406l3mggoyvf4ip7n8f2Dr9fx5chH7vjewz3vl7vN+/C5z+fD42c+73uez/M8w4LC3fcqlcp2FMRRHZVK5bI25IyXIMvAI488gurqagDAzJkzcezYMQDA6dOnoVDwSaxENB4Iol8BAQF48MEHh73uN6SEhYWhq6trSNnd92FhYQgPDx9SZl9Ho9G4rA05Y0iRgby8PFRWVqKiogLp6eloa2vDokWLsGbNGjz99NPuHh4R0T0JgiD65Srz5s1De3v7kPUtzc3NUKvVmD17NoKCgjB9+nS0tLTYfn7nzh2cOHEC8fHxLmtDziZu2LBhg7sHQWMrPDwcixcvRmRkJMLCwvDUU0/BZDJh4cKFWL16NSZOnDjqti0Dt104UhrvvCYMHpnjvCB7d+eFM66br0IQ+SfQO3hUfRw8eBC9vb1YsmQJgMHT4wcOHEBTUxOioqLw559/oqSkBJmZmZg/fz6AwdPp27dvh0ajgUKhwNatW6HX67Fx40b4+vq6pA05431SyCm8HwbZ431SyBFX3CflnEkvuu50/1mj6qOgoAAGg8F2nxQAMBgMeP/993H8+HEEBATghRdeQH5+PiZM+PtExM6dO/H111/j+vXrmDNnDgoLCzFnzhyXtiFXDCkykJmZ+Y8/1+l0o26bOyOyx5BCjrgipJzvOy26bqTfTKf7I2ng1T0y8L+LrywWCwwGA86ePXvPAENEJAUTuIRSlhhSZODDDz90WF5aWurwhkdERFIz1s/uIWliNJWxJUuWoKGhwd3DICK6J7GLZsfq9vnkHjySImNnzpwBlyQR0XjAIynyxJAiA3efrGmvr68Pv/32G1JTU90wIiKi+8MjJPLEkCIDHR0dQ94LggCFQoGcnBxkZ2e7aVREROIxpMgTL0GWue7uboSEhIz687zUlOzxEmRyxBWXIF/uvyC6bpjvNKf7I2ngwlkZiImJQU9Pz7DyS5cuISUlxQ0jIiK6X+Kf3UOeg6d7PFRjYyN+/fVXAMDAwABKSkrg7e09pM7Fixf5lE0iGhcYPeSJIcVDxcXFobKy0nb1zsWLF+Hl9fc/tyAIUKvV2LRpk7uGSER0HxhT5IhrUmTglVdeQXl5+X0/plwMrj0ge1yTQo64Yk1K181LouuG+oQ73R9JA9ekyMA333yD48eP49ChQ7ayoqIiHDlyxI2jIiISjzdzkyeGFBnYt28f8vPz8ddff9nKzGYzVq1ahcbGRjeOjIhIHIYUeeLpHhlITU1FTk4OMjIyhpTv3bsXu3fvRn19/ajb5mF9ssfTPeSIK073XLl5WXTdYJ8wp/sjaeCRFBno6OhAQkLCsPL58+fDaDS6YURERPdHEATRL/IcDCky8MADD6CpqWlY+YkTJxAaGuqGEREREd0bL0GWgWXLlmHjxo0wGo2IjY0FALS2tkKn0yEvL8/NoyMiujeuNZEnrkmRiYqKCnz11Vfo7u4GAISGhiI3NxeLFi1CcHDwqNvl2gOyxzUp5Igr1qRcu9Utum6g9+gf9UHSwpAiM9euXYNCoUBbWxuqqqrw888/o7W1ddTtcWdE9hhSyBFXhJTr5iui605Wjv6LF0kLT/fIiMlkQn19Paqrq3Hu3DkolUosXrzY3cMiIhKBp3vkiCFFBlpbW1FdXY3Gxkb09/dDEARkZmYiNzcXQUFB7h4eEdE9MaLIE0OKh7p58ya+++47VFVVoa2tDWq1GikpKUhLS8OqVauQkZHBgEJE4whjihwxpHioxMREWK1WJCYmIjc3F08++SSUSiUAgMuQiGi84f1P5In3SfFQFosFarUaPj4+uH37NiwWi7uHREQ0arwtvjzxSIqHOnbsGH744QfU1tairq4OPj4+SEpKQlpaGr+RENE4xP+35IiXIMvA+fPnUVtbi2+//Rbd3d0QBAHPP/88XnvtNWi1Wqfa5qWmZI+XIJMjrrgEue92r+i6fopJTvdH0sCQIiNWqxWHDx9GXV0dDh8+jDt37iAhIQG7du0adZvcGZE9hhRyxBUh5d+Wf4muq/YKcLo/kgaGFJnq6enB/v37UVdXh4aGhlG3w50R2WNIIUdcE1JMouuqvfyd7o+kgSGFnMKdEdljSCFHXBFSblj6RNdVefk53R9JAxfOEhGR5HHBvzwxpJBTXPENiTwP5wURuQJP9xAREZEk8WZuREREJEkMKURERCRJDClEREQkSQwpREREJEkMKURERCRJDClEREQkSQwpREREJEkMKURERCRJDClEREQkSQwp5FGSk5MRFRVle8XExGDu3LnIysrCH3/84fL+DAYDoqKi0NzcDAAoKCjA0qVLRX12YGAA+/fvx9WrV0esY7Va8cknn+CJJ55AbGwsli9fDoPB4JKxy4mnzQt7n3/+uei2icYbhhTyOK+++iqOHj2Ko0eP4siRI9izZw98fHywfPlyXLp0aUz7LiwsxI4dO0TVbWpqQkFBAfr7+0esU15ejqqqKpSUlGDv3r2YOHEicnJycOvWLVcNWTY8aV7cVVlZidLSUmeHRyRZDCnkcXx9fRESEoKQkBCEhoZi1qxZeO+999Df34+ffvppTPv29/fH5MmTRdW912OzzGYzdu7ciddffx1JSUmIjo5GaWkprly5gu+//94Vw5UVT5kXANDZ2YmVK1fio48+wvTp050dHpFkMaSQLHh5DT7w29vbG8Dg4f/NmzfjueeeQ3x8PH755RcAQG1tLZ555hk8+uijSE1NxRdffAGLxWJrR6/XIzMzE3FxcUhJSUFLS8uQfv73sP6FCxeQl5eHuXPnIj4+Hnl5ebh8+TKam5uRnZ0NAFi4cCG2b98+bMzt7e24ceMGEhISbGV+fn6YPXs2fv/9dxdtGXkbj/MCANra2qBWq3HgwAHExsa6boMQSYyXuwdANNY6OzuxefNmqFQqJCYm2sp3796N8vJyBAcHY8aMGdizZw/Kysrw9ttvIy4uDnq9HsXFxbhw4QKKi4thMpmQlZWFxx57DDU1Nejq6kJRUdGI/ZpMJixbtgxarRa7du2CQqFAcXExVq5ciZqaGpSVlWHNmjXYt28ftFqtw3EDgEajGVIeGhqKjo4OF20d+Rqv8wIYDFPJycku3yZEUsOQQh6noqICOp0OAGCxWGA2mzFjxgyUlZUhPDzcVm/BggVISkqyvf/ss8+Qm5uL9PR0AMC0adNgNpuxbt06rFu3Dj/++CNu3LiBLVu2YNKkSZg1axYKCgqQn5/vcBwNDQ3o7e3Fxx9/jMDAQADABx98gJqaGpjNZkyaNAkAEBQUBLVaPezzd9ckKJXKIeVKpRJms3m0m0e2PGVeEMkJQwp5nIyMDGRlZQEAJkyYgMmTJ8Pf339YvYiICNvfe3p60NnZiW3btuHTTz+1lVutVlitVpw/fx56vR7Tpk2z7UQA4PHHHx9xHHq9Hg899JBtRwQAkZGReOutt0T9Hj4+PgAG16bYBxWz2QyVSiWqDfqbp8wLIjlhSCGPExAQMGRHM5K7IQAY3OkAwPr167FgwYJhdTUaDerr64eVKxSKEdv/p5+JMXXqVABAV1cX/Pz8bOVdXV14+OGHnWpbjjxlXhDJCRfOEgGYMmUKpkyZAqPRiIiICNvr7Nmz2Lp1KywWC2JiYmAwGNDT02P7XGtr64htarVaGI1G9Pb22srOnTuHefPm4cyZMxAE4R/HFB0dDT8/vyGLMPv6+nDy5EnEx8c78duSWFKcF0RywpBCBEAQBKxYsQKVlZXQ6XQwGo04dOgQCgsLAQxeVfPss88iODgYb7zxBk6dOoWWlhZs2rRpxDbT09MRGBiIN998E+3t7Th58iQKCwsREREBrVZrW2/Q3t4Ok8k07PNKpRIvv/wySktLcfDgQZw6dQpr166FRqNBSkrK2GwIGkKK84JIThhSiP4rKysLRUVFqKqqQlpaGt59912kp6djy5YtAACVSgWdTgeFQoEXX3wR69evx4oVK0Zsz9fXFxUVFQCAl156CdnZ2Zg6dSp27NgBQRAQHR2N5ORkrF27Ftu2bXPYxurVq5GRkYF33nkHS5cuxcDAAL788sthi2lp7EhxXhDJhTAg5s5BRERERP9nPJJCREREksSQQkRERJLEkEJERESSxJBCREREksSQQkRERJLEkEJERESSxJBCREREksSQQkRERJLEkEJERESS9B8QPXd7O7m2pAAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8025,6 +8367,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9872130903959284\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8033,13 +8376,13 @@
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
       "Oversampling is complete!\n",
-      "[[55731  1132]\n",
-      " [   13    87]]\n"
+      "[[56830    33]\n",
+      " [   16    84]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8051,18 +8394,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9839508995304503\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9807729506207206, 'sensitivity': 0.9005306122448979, 'specificity': 0.9809120166013049, 'precision': 0.07580921945635594, 'f1': 0.139806230368216, 'auc': 0.9407213144231015, 'actual_accuracy': 0.9121951219512194}\n"
+      "{'accuracy': 0.9992767041323537, 'sensitivity': 0.831265306122449, 'specificity': 0.9995673812496703, 'precision': 0.772512785457262, 'f1': 0.7995436169812653, 'auc': 0.9806169895635302, 'pr_auc': 0.8197670215949406, 'actual_accuracy': 0.9601626016260161}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -8070,39 +8414,98 @@
     }
    ],
    "source": [
-    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'SVM_Linear', 'Linear SVM', 5)"
+    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', False, 'naive', 'RandomForestplus4', 'Random Forest with NAIVE Sampling and depth +4', 5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'accuracy': 0.9992767041323537,\n",
+       " 'sensitivity': 0.831265306122449,\n",
+       " 'specificity': 0.9995673812496703,\n",
+       " 'precision': 0.772512785457262,\n",
+       " 'f1': 0.7995436169812653,\n",
+       " 'auc': 0.9806169895635302,\n",
+       " 'pr_auc': 0.8197670215949406,\n",
+       " 'actual_accuracy': 0.9601626016260161}"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results['final']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Random Forest\n",
+    "\n",
+    "### Sampling types:\n",
+    "naive,smote,smote,smote\n",
+    "\n",
+    "### Depth:\n",
+    "sqrt(num of features), sqrt(num of features), sqrt(num of features)-1, sqrt(num of features)-2\n",
+    "\n",
+    "sensitivity: 0.8598, 0.8740, 0.8740, 0.8720 <br>\n",
+    "precision: 0.4530, 0.2907, 0.2536, 0.2295 <br>\n",
+    "f1: 0.5918, 0.4348, 0.3930, 0.3633 <br>\n",
+    "auc: 0.9290, 0.9351, 0.9348, 0.9334\n",
+    "\n",
+    "### Best model is SMOTE sampling with tree depth = sqrt(num of features)\n",
+    "### As number of features/depth decrease, all metrics worsen\n",
+    "## Likely that there is still more room for improvement in sensitivity/auc if we increase depth (possible current underfitting)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Random Forest has slightly lower AUC (0.9290, 0.9351) than Logistic Regression or SVC but the f1 values (0.5918, 0.4348) and precision (0.4530, 0.2907) is a lot better\n",
+    "### It is a great model in terms of balancing both AUC and f1/precision\n",
+    "### There are lesser False Positive while still keeping a large proportion of right guesses of fraud (True Positive)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Now, we try to use XGBoost with various depths and sampling (naive, smote) to find it's results"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{'accuracy': 0.9807729506207206,\n",
-       " 'sensitivity': 0.9005306122448979,\n",
-       " 'specificity': 0.9809120166013049,\n",
-       " 'precision': 0.07580921945635594,\n",
-       " 'f1': 0.139806230368216,\n",
-       " 'auc': 0.9407213144231015,\n",
-       " 'actual_accuracy': 0.9121951219512194}"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
+     ]
     }
    ],
    "source": [
-    "results['final']"
+    "varlist = list(df.columns.values)\n",
+    "varlist.remove('Time')\n",
+    "print(varlist)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 68,
    "metadata": {
     "scrolled": true
    },
@@ -8116,13 +8519,34 @@
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55820  1043]\n",
-      " [    6    92]]\n"
+      "[0]\tvalidation_0-error:0.023955\tvalidation_1-error:0.021383\n",
+      "[5]\tvalidation_0-error:0.012334\tvalidation_1-error:0.007725\n",
+      "[10]\tvalidation_0-error:0.008184\tvalidation_1-error:0.004494\n",
+      "[15]\tvalidation_0-error:0.006454\tvalidation_1-error:0.003336\n",
+      "[20]\tvalidation_0-error:0.001068\tvalidation_1-error:0.002826\n",
+      "[25]\tvalidation_0-error:0.000835\tvalidation_1-error:0.002142\n",
+      "[30]\tvalidation_0-error:0.00067\tvalidation_1-error:0.001826\n",
+      "[35]\tvalidation_0-error:0.000646\tvalidation_1-error:0.001668\n",
+      "[40]\tvalidation_0-error:0.000561\tvalidation_1-error:0.001545\n",
+      "[45]\tvalidation_0-error:0.000477\tvalidation_1-error:0.001404\n",
+      "[50]\tvalidation_0-error:0.000422\tvalidation_1-error:0.001282\n",
+      "[55]\tvalidation_0-error:0.000352\tvalidation_1-error:0.001124\n",
+      "[60]\tvalidation_0-error:0.000321\tvalidation_1-error:0.001106\n",
+      "[65]\tvalidation_0-error:0.00027\tvalidation_1-error:0.000948\n",
+      "[70]\tvalidation_0-error:0.000202\tvalidation_1-error:0.00086\n",
+      "[75]\tvalidation_0-error:0.000187\tvalidation_1-error:0.000825\n",
+      "[80]\tvalidation_0-error:0.00013\tvalidation_1-error:0.000808\n",
+      "[85]\tvalidation_0-error:0.000103\tvalidation_1-error:0.00079\n",
+      "[90]\tvalidation_0-error:9e-05\tvalidation_1-error:0.000772\n",
+      "[95]\tvalidation_0-error:7.7e-05\tvalidation_1-error:0.00072\n",
+      "[99]\tvalidation_0-error:6.8e-05\tvalidation_1-error:0.000702\n",
+      "[[56839    24]\n",
+      " [   16    82]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8134,6 +8558,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9897636173158042\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8141,28 +8566,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
-      "Oversampling is complete!\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "D:\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:929: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
-      "  \"the number of iterations.\", ConvergenceWarning)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[[55650  1213]\n",
-      " [   10    88]]\n"
+      "Oversampling is complete!\n",
+      "[0]\tvalidation_0-error:0.030855\tvalidation_1-error:0.016345\n",
+      "[5]\tvalidation_0-error:0.025276\tvalidation_1-error:0.007426\n",
+      "[10]\tvalidation_0-error:0.00858\tvalidation_1-error:0.004793\n",
+      "[15]\tvalidation_0-error:0.004445\tvalidation_1-error:0.003933\n",
+      "[20]\tvalidation_0-error:0.001633\tvalidation_1-error:0.003371\n",
+      "[25]\tvalidation_0-error:0.001499\tvalidation_1-error:0.00309\n",
+      "[30]\tvalidation_0-error:0.001238\tvalidation_1-error:0.002668\n",
+      "[35]\tvalidation_0-error:0.001172\tvalidation_1-error:0.002546\n",
+      "[40]\tvalidation_0-error:0.001071\tvalidation_1-error:0.00251\n",
+      "[45]\tvalidation_0-error:0.000866\tvalidation_1-error:0.002124\n",
+      "[50]\tvalidation_0-error:0.000752\tvalidation_1-error:0.001896\n",
+      "[55]\tvalidation_0-error:0.000648\tvalidation_1-error:0.001562\n",
+      "[60]\tvalidation_0-error:0.000499\tvalidation_1-error:0.001246\n",
+      "[65]\tvalidation_0-error:0.00038\tvalidation_1-error:0.001088\n",
+      "[70]\tvalidation_0-error:0.000308\tvalidation_1-error:0.000913\n",
+      "[75]\tvalidation_0-error:0.000262\tvalidation_1-error:0.000825\n",
+      "[80]\tvalidation_0-error:0.000222\tvalidation_1-error:0.000737\n",
+      "[85]\tvalidation_0-error:0.000178\tvalidation_1-error:0.000702\n",
+      "[90]\tvalidation_0-error:0.000145\tvalidation_1-error:0.00065\n",
+      "[95]\tvalidation_0-error:0.000121\tvalidation_1-error:0.000632\n",
+      "[99]\tvalidation_0-error:9.9e-05\tvalidation_1-error:0.000562\n",
+      "[[56844    19]\n",
+      " [   13    85]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAERCAYAAACdPxtnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3deXxMV//A8c9kk62xZrGVFImILSSC2hq1FCmhaKk1KlqCoHa1xb7EFkrtGhQNj9RWWrQ8tijliWisIZbEmkSTmCzz+8Mv00wziYlMRMz33de8Xp1zz5x75rq53znLvUehUqlUCCGEMEhGhV0BIYQQhUeCgBBCGDAJAkIIYcAkCAghhAGTICCEEAZMgoAoVDI57e0g/45Fl0EEgYiICMaOHYuXlxe1a9fGy8uLsWPHcv369QLb5+nTp2nfvj01a9akXbt2eit36dKlODs7k5aWprcycxIaGoqzszPOzs5cvnxZa56oqCh1npiYmDyVv337dmbOnPnSfF5eXowaNSpPZf9bQf17AMTFxdGwYUPat29PSkpKtu379u3D2dmZ7du3a6QnJiayatUqunTpgqenJ7Vr16ZNmzbMmDGD2NhYjbyZ/+5ZX3Xq1KF9+/asXr2ajIwMvX4nXSUkJDB27FhOnjxZKPsX+WdS2BUoaFu3bmX69OnUq1cPf39/7O3tuX37Nhs2bKBLly6sXr2a+vXr632/s2fPJjk5meDgYEqUKKG3crt06UKjRo0wMXl9/3RGRkbs27eP6tWrZ9v2008/vXK5K1asoF69ei/Nt3jxYqytrV95P1Bw/x4AdnZ2BAYGMnjwYObOncs333yj3nbz5k0mTJhAhw4d6Nq1qzr96tWr+Pn58ffff9OjRw/q1KmDqakply5dYuPGjezZs4fNmzdTuXJljX1t2rQJI6MXv93+/vtv/vjjDxYsWEBycjL+/v56/V66iIyMZOfOnXz88cevfd9CT1RvsXPnzqlcXFxUU6dOzbYtPj5e1apVK5WXl5cqLS1N7/v+4IMPVCNGjNB7ua/Tjz/+qHJyclL17NlT1bp1a615vLy8VJ06dVI5OTmpbt++nafyP/jgA9XIkSP1UVWd9lXQ/x6TJk1SOTk5qQ4fPqxSqVSq5ORklbe3t6p169aqZ8+eqfM9f/5c1aFDB1WLFi1UsbGx2cp5+PChqmnTpipfX1912pIlS1ROTk6q1NTUbPlHjBihatiwof6/kA5OnjypcnJyUh0/frxQ9i/y763uDlq9ejXvvPMOX3/9dbZtNjY2jB07lg4dOpCQkKBO37t3L126dMHNzY3GjRszadIknjx5ot6+dOlSWrVqxbFjx/Dx8aFWrVp4eXmxfv16AGJiYnB2dubOnTv89NNPODs7Exoaqu5aiY6O1qjHZ599Rq9evdTvIyMj6d+/Px4eHtStW5cePXpw/Phxjf3/uzsov3V+mY8++oibN29y6dIljfTz589z//592rZtm+0zhw4domfPnri5uVGzZk3atm3Lpk2b1Nszj1FYWBjOzs4a9Vy1ahWenp40btyY+/fva3QHzZ49G2dnZ41jcujQIZydnbV+n5z+PeDFr/ShQ4fSpEkT6tSpw+eff86ZM2eyfXbjxo14e3tTp04dNm7cmONxGjduHO+99x7jx4/n8ePHzJo1i5s3b7J48WKsrKzU+fbv309UVBQTJkzAzs4uWzmlS5fG39+fcuXK6dTNo61l87LvBi+6o2bPns2HH35IrVq1aN++Pdu2bdPIk9v5GBoaSu/evQHo168fY8eOfWldxZvnrQ0CKpWK33//nUaNGmFhYaE1j5eXFwEBAZQsWRKA5cuXExAQQI0aNQgKCuLLL7/kwIED9O7dm+TkZPXnHj58yIQJE/jkk09YsWIFrq6uzJo1i+PHj2NnZ0dISAi2trY0adKEkJAQmjdvrlOdnz17Rr9+/ShWrBjz5s1j0aJFmJqa4ufnx+3bt7V+Rh91fplGjRpRqlQp9u3bp5H+008/qbdldeTIEQYPHky1atVYunQpixYtonz58gQGBhIeHg6Q7RhlunfvHrt27WLu3LmMGjUKBwcHjbIDAgKoUqUK33zzDcnJyTx69IhJkybRpEkT+vTpk63uOf17XL16lc6dO3Pz5k3GjBnD3LlzAejbty8nTpzQKGPevHl8+umnzJkzJ9d/SwsLC+bPn09CQgIDBgxg69atjBs3Lls32sGDB7GxsaFFixY5ltW1a1emTZum7vrJlJGRQVpaGmlpaTx79ozDhw+ze/dujR8Suny3lJQUevTowc6dO+nTpw/Lli3Dzc2NSZMmsWzZMuDl52Pz5s2ZOHEi8CIADho0KMfvI95cb+2YwJMnT0hJSaFChQo65Y+Pj2fFihV07tyZ6dOnq9OdnZ3p1asX27dvV//qSUpKYtGiReoLQv369Tl8+DC//vor77//Pu7u7piZmVGyZEnc3d11rvO1a9d48uQJX3zxhbqvvHbt2qxcuVLrgKM+65wbY2Nj2rRpw/79+xk5ciQA6enp7N+/n1GjRpGamqqRPyoqivbt2zNlyhR1Wv369WnYsCGnT5/G3d09x2OUmprKmDFjcrzYFitWjDlz5vDpp5+yfPlybty4gUqlYvbs2SgUimz5zczMtO5r+vTpmJiY8P3332NjYwO8+FHQoUMH5s6dy86dO9VltGzZkp49e+Z6jDK5uroycOBAgoODadCgAZ999lm2PLdu3aJixYrZxnXS09OzzbIxNjbW+F61atXKVp6bm5v63xlg2bJlL/1uoaGhREVFsWnTJho0aABA8+bNSU9PZ+XKlfTo0YPbt2/nej5WrFgRJycnAJycnLKNX4ii4a1tCRgbGwMv/rB0cf78eZRKJd7e3hrpDRo0oHz58pw+fVojPetgsoWFBSVKlCApKSlfda5WrRq2trZ8+eWXTJ06lV9++QUzMzPGjRtHtWrVCrXO7dq149atW/zvf/8D4NSpUyQmJvLhhx9myztw4EAWLlxISkoKly9fZv/+/axevRoApVL50n1ldg/lpFatWvj5+bF69WoOHjzIjBkzsLW11el7ZDp9+jTNmjVTXyQBTE1N6dChA5cuXSIxMVGdnnmh04VSqeTXX39FoVBw/vx5rbOqMjIytAasjh074urqqvH697/htm3b2LFjBzt27CAkJISpU6dy7949PvvsM549e6bzdzt9+jT29vbqAJCpU6dOKJVKzp07l+fzURRNb20QKF68OFZWVty5cyfHPM+fP+fBgwfAi1/VAGXKlMmWr0yZMhrjBgDm5uYa742MjPI9V9rS0pItW7bQqlUrDhw4wFdffUWjRo0YOXKkxkUp0+uss7u7O/b29uouoZ9++okWLVponbXz5MkThg8fTv369encuTOLFy9W10WX/Wn7Pv/m4+ODSqWiePHieHh46PQdsoqPj9caODL3nfV45yXAzJo1i6ioKJYuXYqFhQWjRo3K1oorX748d+/ezXYsgoKC1Bf4rDOMsnJ1daVWrVrUqlULd3d3Pv30UxYsWEBUVBQ7duzQ+bvFx8fneN5k5snr+SiKprc2CAA0adKEU6dOae1KgRfzt5s0acLRo0cpXrw48KLv/N/i4uLU4wavKvOX379bJpm/3jJVrFiRwMBAjh8/zq5du+jbty/79u0jKCgoW5kFXeesjIyMaNu2Lfv370epVHLw4EE6dOigNe/IkSM5d+4c69at4/z58+zbt4/x48frrS4qlYpvvvmGsmXLAjBt2rQ8l1G8eHH1D4Cs4uLiAO2DrS9z4MABNm/ezKBBg2jVqhVTpkzhypUrzJkzRyNfy5Ytefz4cba59dWqVVNf4B0dHXXeb40aNQC4ceMGoNt3K168eI7nDaA+d/JyPoqi6a0OAv379yc+Pp758+dn2/b06VOCg4NxcHDg/fffp06dOpiZmREWFqaR78yZM9y7dy/f9xJk/mK+d++eOu3BgwfqP1x4MWukYcOGxMXFoVAocHFxYeTIkbz33ntaWzQFXed/a9euHTExMaxatQqVSpVjv/3Zs2f58MMPadCgAWZmZgAcPXoU0GwJ/HvQU1chISH897//Zfr06Xz99deEhYVx4MCBPJXh4eHBb7/9ptFaSktLY+/evdSoUQNLS8s8lRcTE8PEiRNxc3Nj8ODBwIvj9fHHH7N582Z+/fVXdd4OHTpQpUoVJk+ezP3797WWFxkZqfO+z507B6Duk9flu3l4eBAbG5ttxtDu3bsxMTGhTp06Op2Pmd2uouh6aweGAerWrcvw4cMJCgri+vXrdOzYkTJlynD16lU2bNjAkydP2LhxIyYmJpQoUYKBAweybNkyTE1NadmyJTExMSxZsgRHR0e6dOmSr7o0atQIS0tLZs+ezbBhw1AqlaxcuZJ33nlHnadevXqoVCoGDRrEgAEDKF68OL///jtXrlxhwIAB2cos6Dr/W926dSlfvjzffvst3t7e6gv8v9WuXZuffvoJV1dXHBwc+OOPP1i9ejUKhUJjDMLGxoa//vqLEydO4OnpqVMdoqOjmT9/Pj4+PjRp0gSAsLAwJk+ejLu7O6VLl9apnCFDhvDbb7/x+eefM3DgQIoVK8amTZu4ffs2K1eu1KmMTKmpqQQEBKBSqViwYIHGhXHy5MmcPXuW8ePHs3v3buzs7LCwsCA4OJivvvoKb29vPvnkE+rXr4+lpSXXr18nLCyM8+fP4+bmlq1F8Mcff6iDp0ql4tq1ayxbtgw7Ozt8fHx0/m6dO3dm8+bNDBkyBH9/fypWrMgvv/xCaGgogwYNokSJEjqdj5nn72+//Yatra2MFRRBb3UQABg0aBCurq6EhISwYMECnjx5goODAw0bNuTLL7+kYsWK6rz+/v6UKVOG77//ntDQUEqUKEHbtm0JCAjQmOf9KqytrQkODmb+/PkMHz4cBwcH+vfvT0REBLdu3QJeTGdcu3YtixYtYtq0afz99984Ojoyc+ZMOnXqpLXcgqyzNu3ateO7777LNhid1ezZs5k+fbr6kRCVK1dmypQp7N27l7Nnz6rz+fn5MXnyZL766qtsrRltMjIyGDNmDFZWVhpz0gMDA/H29mbSpEksX75cp+9RrVo1Nm/ezMKFC5k0aRLwInht2LAhz2MMCxYs4MKFCyxcuJDy5ctrbLO2tmbu3Ln06tWLsWPHsmbNGhQKBY6OjuzcuZPt27ezd+9edu7cybNnzyhTpgxubm58+eWXNG/ePNsActapoCYmJpQuXZpGjRoxdOhQdReWLt/NwsKCTZs2sXDhQpYvX05iYiKOjo5Mnz6dbt26Abqdj9WqVaNjx46EhIRw7do1vvvuuzwdO1H4FKr8jmYKIYQost7qMQEhhBC5kyAghBAGTIKAEEIYMAkCQghhwCQICCGEAXvrp4gKIQSAopVuD5MEUB3M2yp5RVmhB4G8/MOIt1/mH19Kev4exifeLubGebuDWystD+0Tb0AQEEKI10I6v7WSICCEMAzSEtBKgoAQwjBIDNBKgoAQwjAYSxTQRoKAEMIwSHeQVhIEhBCGQWKAVhIEhBCGwUiigDYSBIQQhkFigFYSBIQQhkHGBLSSICCEMAwyO0grCQJCCMMgMUArCQJCCMMg3UFaSRAQQhgGmR2klQQBIYRhkBiglQQBIYRhkJaAVhIEhBCGQYKAVhIEhBCGQWKAVhIEhBCGQWYHaSVBQAhhGGRlMa3ksAghDINCofsrD65fv46zs3O21/bt2wGIjIykV69e1K1blxYtWrBmzRqNz2dkZLBkyRKaNm1KnTp16N+/P9HR0Rp59FFGTiQICCEMg5FC91ce/PXXX1hbW3Ps2DGNl7e3N48fP6Zv375UqlSJH3/8kWHDhrFkyRK2bdum/nxwcDBbtmwhMDCQH374AWNjY3x9fXn+/DmAXsrIjXQHCSEMQwH95I2KiqJKlSrY2tpm27Z+/XpMTU2ZMmUKJiYmVKlShejoaFatWkW3bt1QKpWsXbuWUaNG0bx5cwCCgoJo0qQJ+/bto1OnTmzbti3fZeRGWgJCCMNQQN1Bf/31F1WqVNG6LTw8HHd3d0xM/vm97enpye3bt4mNjSUyMpKkpCQaNmyo3m5tbU2NGjUIDw/XWxm5kZaAEMIw5OHanpCQQEJCQrZ0GxsbbGxsNNKioqKoVKkSn376Kbdu3aJy5cp89dVXNGnShNjYWKpWraqR387ODoB79+4RFxcHgL29fbY89+7dA9BLGbmRICCEMAx56OvfsGEDy5Yty5Y+ZMgQ/P391e+TkpKIiYmhVKlSjBw5EisrK3bv3s2AAQNYu3YtKSkpmJmZaZSR+f758+ckJydrpGXNo1QqAfRSRm4kCAghDEMeunn69OmDj49PtvR/twIsLS05e/Yspqam6otwzZo1uXbtGqtXr8bc3DzbhTjzvaWlJebm5uq0rBdxpVKJpaUlgF7KyI0EASGEQVDkoSWgrdsnJ1ZWVtnSnJycOHz4MBUrVlR312TKfO/g4IBKpVKnWVtba+TJ7AJycHDIdxm5kYFhIYRBUCgUOr90de7cOdzc3Lhw4YJG+v/+9z+qVauGh4cHZ8+eJS0tTb3t5MmTVK5cGVtbW6pXr461tTWnT59Wb3/27BmXLl2iQYMGAHopIzcSBIQQBqEgJgfVrFmTChUqMGnSJM6ePcu1a9cIDAzk3LlzfPnll3Tp0oXk5GTGjx/P1atX2bVrF+vXr8fPzw940W//+eefExQUxKFDh7h8+TIBAQHY29vTunVrAL2UketxUWW2JQqJolWFwty9eMOoDsYAkJKeVMg1EW8Sc+OX922/jNmIujrnVS48r3Pe2NhYFixYwPHjx0lISMDV1ZURI0aof4VfvHiRGTNmEBERga2tLX379qV3797qz6enpxMUFERoaCjJycnUr1+fyZMnU7FiRXUefZSREwkC4o0iQUBoo48gUGykm855ny84l+/9FRUyMCyEMAhGRtL7rY0EASGEQZAnSWsnQUAIYRDyMuvHkEgQEEIYBAkC2kkQEEIYBIWsL6mVBAEhhEGQloB2EgSEEAbBOI+LxRgKCQJCCIMgLQHtJAgIIQyCBAHtJAgIIQyCxADtJAgIIQyCtAS0kyAghDAIEgS0kyAghDAI8uwg7SQICCEMgjQEtJPQ+ApKvVMC1cGYbK/tk1aq83Rv8TEXVh0iec9Votb/zpCO/TTKKGFdnFUBc7mzNZxHP/6PXVPX4Ojwbo77bF67EekHbtG8dqMc8/Rp3RXVwRgq2cvjuYuiI78eoZH7+xppjx49ZtzoCTRp2IwmDZsxcvgo7ty5W0g1LNoKYmWxt4G0BF5BnSo1AGg9tgcJSc/U6Y8SngDQrbk3m8ctY8GOVQxb/ist3ZqwdMh0EpIS2XhwBwBbxgfjVtWVr1cF8jjxKdP6jOKXuVupNfBD/k7RfJa+uZk5q0fMy7U5a1/SloV+k/X9VcVrcv7cecaPmUjW5T1SlakM7O/Ho4cPGT5iGGXLOrD5+y306dmXHbu2UaJEiUKscdFjaBd3XUkQeAW1HV24/ziOg2d/07p97hcTWB62kdHfBQJw+Px/qWxfkVb1mrHx4A5sS5SmrUcL+s8fyaZDPwIQFXOdqPW/09bjA378fY9GeYH9vsbcrFiudQr2n0HS82RKIReGokSpVBKyaTPBS5ZjYWFBRkaGetvRI0e5euUqy1cF836TxgB4eHrQsV0n1q1eT8Co4YVV7SLJSIKAVtId9Apqv+fChRuRWrfVd6pNJfsKrNoTopH++Wx/es0ZCoC56YsLurZWRKl3NC/iHs51GdS+FyNXTsuxPl2atqdZLU+mbFqY9y8jCtWx346z5ru1BIwazmc9P9XYFn0zGmNjYzwb/rNYuJmZGa41XTl+7L+vu6pFnpGRQueXIcm1JfD48WN++OEHwsPDuXfvHs+fP8fS0hIHBwcaNGhA165dDbJJWvs9F1KUzzm+aBf1qtXkYfwTluxay7xtK6jt6AKAibExRxbsoJFLPWKfPGTW1mWsCNsIwO0Hdwk7cZAJPfz5383LPE58StCgKcT/ncDe07+q92NqYsrakfOZuXUpf8Vc01qXku+UYNmQ6QxfMSVbN5J487nWcmXvz3uwsXmHFcu+1dhm7+BAeno6D+IeULZcWXX6nTt3uCvjAnkmTxHVLscgcPHiRQYMGICVlRXu7u64uLhgZmaGUqkkLi6OLVu2sHbtWtatW0f16tVfZ50LlUKhoMa7TvydksSoVdO5FXeXdg28mNV/LOZmxXieqiQtPY3d09axPGwDUzctxOf9j1g+dCaPEp6w7WgYAMOWT+bgnM1cXnsUgOTnKXSY1Ic7D++p9zWx5zAyVCrm/rAC18pOWuuz6MspnLsaweZfd9KxcZuCPwBCr+zt7XLc9n7TxpQsWYIJYycycfIESpUuxZbvt3L1yjXS0tJeYy3fDjImoF2OQWDGjBl4eXkxY8YMrQOSGRkZTJgwgcDAQL7//vsCreSbRKFQ0GFSH27F3eXa3ZsAHPnzv1hbWDKm21fM2roME2MTVu0NYdaWZcCLMQFHh4pM7hXAtqNhlCvtwIkl/yHu6SO6TB1IQlIiX7Trwc7Jq2k9rienIv+gZuXqfN11EM1HfkJauvY/+DbuLfB5vy01v2j5ur6+eI1KlizJwiULmTB2Ij7eXQBo1qIZnT/xYfeusEKuXdEjQUC7HMcEIiMjGTBgQI4zUoyMjBgwYAAREREFVrk3UUZGBofP/1cdADLtP3MEKwtLjfdZHfzjd5wqvIepiSn92nSjpHVx2o77nNBjezn0x+90D/ySiOgo5g4Yj5GREWtHzee7vZv548pFjI2MMTYyBsDY2AgjIyOsLaxYOXw2kzcu4M7D+xgbGav/rYyNjOWEf0vUq+/G3p9/Ys+BMH4+fIClyxeTlJRM8eI2hV21Ikeh0P1lSHIMAra2tvz111+5fvjChQsGNyZQtrQ9X7TrSZnipTTSLYqZA3AzNgYAMxNTje2mxiYoUJCRkUFF23LcfnCXu4/ua+Q5HnGGGpWcqGhbDg/nugz16U/agWjSDkRzdvk+AH6Z+wO/zP2B+tVeDEAvHDRZnSd08ncAXNt4nLWjFhTI9xevz5MnT/jPzt0kJyVToWIFddfRlagrOFd3LuTaFT1yn4B2OXYH9evXjwkTJhAZGUmDBg1wcHDQGBM4ffo0GzZsYPhww5qmVszUjFUBc7Ayt2BR6Gp1epem7fjr9jV2n/iZ5OcpdG3egeMRZ9Tb23u25EzUn6RnpBN15zr923anfJmyGmMAntXduHH/FncfxeI+uJ3Gfp3Kv8fm8cvwWzSGI3+e0Jqnee2GLPD7Bu9Jfbl443IBHQHxuqSmpvLNhMlYWVvxYasXXX5/nv+TyEuRdPv0k0KuXdEjj43QLscg0LNnTywsLFi5ciXfffedRnRUqVQ4OjoyYcIEunbt+loq+qa4ef82m3/dxfS+X5OhUhF56wpdm3WgS5N2dJriS2LSM2ZuWcqUXiNI+DuRoxdO0r3FxzSv3ZB2E3oDsHb/Dwz3GcC+mZuY9n0QCUnP6P3hJ7zv6kGnKb6kpqVyNuqCxn4zxwX+un2dqJjrANnyVCjzYgbJxRuXif7/Fokouuzs7GjxQXMWzF2IQqEgNTWVebPm4+zshPfH3oVdvSLHwH7g6yzXKaKdO3emc+fOPHr0iNjYWJKTkzE3N6ds2bKUKlUqt4++1XwXjGLS58MY7uNL2dJ2RN66SpdpAwk7cRCAwJDFxP+diH+nfnzdbRBRMTfoMm0gB8KPAPD0WTxNAnyY7zeJ7wLmolAo+PPaJby+7s7RCycK8ZuJN820GVOZO3seUydNw8hIQdPmzQgYNQxTM9OXf1hoMLRuHl0pVFnvUy+MCrSS59yIf6gOvmjBpKTLPQ/iH+bGli/P9BIui9u9PNP/ixy295X2cePGDTp37sz48ePVvSQxMTFMnz6dM2fOYG5ujo+PDwEBAZiY/PMbPCQkhLVr1/LgwQNcXFyYMGECtWvXVm/XRxk5kU4yIYRBKOiB4dTUVEaNGkVS0j8/YJRKJb6+vigUCrZu3cr06dPZsWMHS5cuVecJDQ1l3rx5DB8+nNDQUBwdHRkwYACPHj3SWxm5kSAghDAIBT1FdOnSpVhZWWmkHThwgDt37jBnzhycnJxo2bIlo0aNYuPGjaSkpACwcuVKevTogbe3N1WrVmXGjBlYW1uzdetWvZWRGwkCQgiDYGRkpPMrr86cOcMPP/zAnDlzNNLDw8NxcXGhePHi6jRPT0+SkpKIiIjg4cOH3Lx5E09PT/V2Y2Nj6tevT3h4uN7KyI08RVQIYRDy0s2TkJBAQkJCtnQbGxtsbGyy5R09ejQTJ06kbNmyGttiY2NxcHDQSLOze3G/x/379zE3f3F/kbY8Fy9e1FsZucl1iqiuQkJCXp5JCCEKUV66eTZs2MCyZcuypQ8ZMgR/f3+NtClTplC3bl28vbNP201JScnWRWRmZgbA8+fPSU5O1kjLmkepVOqtjNzkGATefTfnVa6EEKKoyUtLoE+fPvj4+GRL/3crYNeuXYSHhxMWpv1ZTubm5tkuxJnvLS0t1b/iteWxtLTUWxm5yTEIzJo166UfFkKIIiMPQUBbt482P/74I48ePaJFixYa6dOmTWP9+vV4eHgQGam59khcXBzwovumXLly6jRnZ2eNPPb29up8+S0jNzqPCTx8+JDr16+Tnp6uTlMqlfz5558MHTpU12KEEKJQFMRiMfPnz1fP0MnUunVrhgwZQocOHTh//jyhoaEkJCSog8qpU6ewsrKiRo0amJmZ4ejoyOnTp2natCkA6enpnD17lu7duwPg4eGR7zJyo1MQ2LVrF5MmTSI1NRWFQoFKpVI3rcqXLy9BQAjxxiuIO4Zz+qVdqlQpypcvT5kyZVi0aBEBAQF8/fXX3L17lwULFtCvXz91H37//v0JDAzE0dGR2rVrs2bNGv7++2/1zWYffvhhvsvIjU5BYNWqVXTo0AE/Pz+6devGunXriI2NZerUqdkGSYQQ4k1UGI+NKFasGKtXr2batGl069YNGxsbunfvzuDBg9V5unXrxrNnz1i8eDFPnz7F1dWVtWvXqh/No48ycqPTYyNq1UBP7CwAACAASURBVKrFrl27qFKlCr169WLgwIE0bdqUn3/+mW+//ZbQ0NBXOT4vKiCPjRBZyGMjhDb6eGyEx1rdn7x6pv+OfO+vqNDprggzMzN1s6NSpUrqdQZq1qxJdHR0wdVOCCH0RBaV0U6nIFCzZk317cfVqlXj+PHjAFy5cgVTU3maoRDizSeLymin05iAv78/AwYMoFSpUvj4+BAcHEybNm2Ii4ujffv2BV1HIYTIN1lURjudgoC7uzsHDhxAqVRSqlQpNm/ezNatWylbtiy9evUq6DoKIUS+GdovfF3pfJ9A1qlQVatWZeLEiQVSISGEKAgSA7TTKQj07t071+0bN27US2WEEKKgSEtAO52CwL9viEhLSyM6Oprr16+/NEAIIcSbQIKAdjoFgXnz5mlNDwoK0vq4VSGEeNNIENAuX8Pln3zyCXv27NFXXYQQosAYGSl0fhmSfC0qc/XqVQp5nXohhNCNtAS00ikIjB49Olvas2fPOHHiBG3bttV7pYQQQt+kO0g7nYLAvXv3NN4rFApMTU3x9fWlX79+BVIxIYTQJwPr5dGZTkFg06ZNOW578OBBtqXPhBDiTSMtAe10Ghh2cXHh8ePH2dLv3r1L69at9V4pIYTQN2MjI51fhiTHlsDevXv5/fffAVCpVAQGBlKsWDGNPDExMTqtYSmEEIXNsC7tussxCNStW5eQkBD17J+YmBhMTP7JrlAosLKykrWIhRBFgpF0B2mVYxAoV64cISEhAPTq1Yvg4GCdFl4WQog3kYwJaKdTC2nTpk2cOXOGw4cPq9MmTpzI0aNHC6xiQgihT0YKhc4vQ6JTENi+fTvDhg3jzp076jSlUsngwYPZu3dvgVVOCCH0RRaV0U6nKaJr1qxh8uTJGivXz507l/r167NixQratWtXYBUUQgh9MDGwi7uudGoJ3Lt3j4YNG2ZLb9y4Mbdu3dJ7pYQQQt+kJaCdTkGgfPnynDx5Mlv62bNnsbOz03ulhBBC32RMQDuduoN69uzJzJkzuXXrFnXq1AHg4sWLbNy4EX9//wKtoBBC6INhXdp1p3MQSElJYf369Xz33XcA2NnZMWrUKNq0aVOgFRRCCH0wtF/4utL5UdK+vr74+vry5MkTTE1NiYiIYMuWLcyePZuLFy8WZB2FECLfDO1xELrK03oCiYmJhIWFsXXrVm7cuIGZmRk+Pj4FVTchhNAbaQlop1NovHjxIhMmTKBZs2bMnDmTGzdu0Lt3bw4fPsy0adMKuo5CCJFvijy88iI2NpYRI0bg6emJm5sbAwcO5MqVK+rtkZGR9OrVi7p169KiRQvWrFmj8fmMjAyWLFlC06ZNqVOnDv379yc6Olojjz7KyEmOQSAlJYUdO3bQpUsXunbtyv79+2ndujUrV67E2NiYrl27UqpUKZ12IoQQha0gZgepVCq++OIL7t+/z5o1a9ixYwfm5ub07duXv//+m8ePH9O3b18qVarEjz/+yLBhw1iyZAnbtm1TlxEcHMyWLVsIDAzkhx9+wNjYGF9fX54/fw6glzJyk2N3ULNmzcjIyKBZs2b4+fnRokULzMzM1F9cCCGKkoLoDnr48CFVqlRh6NChODo6AvDVV1/RsWNHoqKiOHXqFKampkyZMgUTExOqVKlCdHQ0q1atolu3biiVStauXcuoUaNo3rw5AEFBQTRp0oR9+/bRqVMntm3blu8ycj0uOW1IS0vDysoKc3NzUlNTSUtL09dxE0KI164gbhaztbUlKChIHQAePnzImjVrsLOzw8nJifDwcNzd3TWewOzp6cnt27eJjY0lMjKSpKQkjZtxra2tqVGjBuHh4QB6KSM3ObYEjh8/zv79+9mxYwehoaGYm5vTvHlz2rVrZ3B31Akhij7jAr5ujR07lp07d2JmZsaKFSuwsrIiNjaWqlWrauTLvMH23r17xMXFAWBvb58tT+ayvvooIzc5BgELCwt8fHzw8fHh5s2b7Nixg//85z8cOHAAhULBmjVrGDBgAFWqVHnpToQQorDlpTsoISGBhISEbOk2NjY5PlLf19eXnj17snnzZgYPHkxISAgpKSnqbvRMme+fP39OcnKyRlrWPEqlEkAvZeRGpymilStXZtSoUYwYMYIjR44QGhpKWFgYu3btomHDhqxbt06XYoQQotDkJQhs2LCBZcuWZUsfMmRIjk9JqFatGgAzZszgzz//ZNOmTZibm2e7EGe+t7S0xNzcXJ2W9SKuVCrVqzbqo4zc5Ok+ASMjI7y8vPDy8uLx48fs3LmT0NDQvBQhhBCFIi/d2H369NF6D9S/WwFxcXGcOnWKDh06qMs3MjKiatWqxMbG4uDgoO6uyfoZAAcHB/Ukm7i4OKytrTXyZHYB6aOM3LzyLXSlSpXC19eXPXv2vGoRQgjx2hjl4WVjY0OFChWyvf4dBO7du8eoUaM4e/asOi01NZVLly5RpUoVPDw8OHv2rMbEmpMnT1K5cmVsbW2pXr061tbWnD59Wr392bNnXLp0iQYNGgDopYyXHRchhHjrFcTsoFq1auHp6ck333xDeHg4UVFRjBkzhqdPn9K3b1+6dOlCcnIy48eP5+rVq+zatYv169fj5+cHvOi3//zzzwkKCuLQoUNcvnyZgIAA7O3tad26NYBeysj1uKgKedK/olWFwty9eMOoDsYAkJKeVMg1EW8Sc+OX922/zMhjo3XOu6DJXJ3zxsfHM3/+fA4fPkxiYiLu7u6MHj0aZ2dn4MUTF2bMmEFERAS2trb07duX3r17qz+fnp5OUFAQoaGhJCcnU79+fSZPnkzFihXVefRRRk4KPQgIIcTrMOr4GJ3zzn9/TgHW5M2Sp4FhIYQoqoxkRQGtCj0ISLNfZJXZ7JfzQmSlj+4guclVu0IPAkII8TrIo6S1kyAghDAIRgqZDKmNBAEhhEGQloB2EgSEEAZBIbdFaSVBQAhhEKQloJ0EASGEQZDZQdpJEBBCGASF3CeglQQBIYRBMDaSMQFtJAgIIQyCkQwMayVBQAhhEGRMQDsJAkIIgyBBQDsJAkIIgyAPkNNOgoAQwiBIS0A7CQJCCINgLM8O0kqCgBDCIMgD5LSTICCEMAjSHaSdBAEhhEGQO4a1kyAghDAI8gA57SQICCEMggwMaydBQAhhEBQSBLSSICCEMAgyJqCdBAEhhEGQMQHtJAgIIQyCTBHVToKAEMIgyLODtJMgIIQwCEZGxoVdhTeSDJcLIQyCEQqdX3nx7NkzZs6ciZeXF25ubnTu3JlffvlFvT0mJgY/Pz/q1atH48aNmTdvHmlpaRplhISE0LJlS2rXrk337t25cOGCxnZ9lJHzcRFCCAOgUCh0fuXFuHHjOHLkCIGBgezatYvWrVszZMgQTpw4gVKpxNfXF4VCwdatW5k+fTo7duxg6dKl6s+HhoYyb948hg8fTmhoKI6OjgwYMIBHjx4B6KWMXI+LSqVS5ekb61lKelJh7l68YcyNLQE5L4SmzPMiP0KurNM5b89q/XTK9+DBA5o0acLKlStp0aKFOr1Pnz6UKVOGFi1aMG7cOI4fP07x4sUB2L59OzNnzuTEiROYm5vTpk0bWrZsyejRowFIT0+nVatWdOnShcGDBxMWFpbvMnIjLQEhhEEoiJaAhYUF3333He7u7tn2FR8fT3h4OC4uLuqLN4CnpydJSUlERETw8OFDbt68iaenp3q7sbEx9evXJzw8HEAvZeRGBoaFEAYhL339CQkJJCQkZEu3sbHBxsZG/d7a2ppmzZpp5Dl//jwnT55k4sSJHDt2DAcHB43tdnZ2ANy/fx9zc3MArXkuXrwIQGxsbL7LyI0EASGEQTBS6D47aMOGDSxbtixb+pAhQ/D398/xc9euXWPIkCHUqVOH7t27c+jQIaysrDTymJmZAfD8+XOSk5M10rLmUSqVAKSkpOS7jNxIEBBCGIS8dPP06dMHHx+fbOlZWwH/dubMGYYMGUK5cuVYuXIlpqammJubZ7sQZ763tLRU/4rXlsfS8sU4iD7KyI2MCQghDIIiD//Z2NhQoUKFbK+cgsDu3bvp168frq6ubNq0iRIlSgAvumji4uI08ma+d3BwoFy5chppWfPY29vrrYzcSBAQQhiEgpoiGhYWxujRo/noo49YuXIl1tbW6m0eHh5ERkZqjC+cOnUKKysratSoQalSpXB0dOT06dPq7enp6Zw9e5YGDRrorYzcGE+ZMmVKnr6xnqWpUgtz9+INY2JkCsh5ITRlnhf58dfTCJ1bAi4la+pU5v379/H19aV+/fpMmTKF58+fk5SURFJSEqmpqTg7O7N7925OnjyJs7MzFy5cIDAwkN69e9O4cWPgRd/90qVLsbe3x9TUlAULFhAVFcXMmTOxsLCgUqVK+S4jNzImIIQwCHkZGNbVzz//THJyMidPnqRp06Ya2+rVq8eWLVtYvXo106ZNo1u3btjY2NC9e3eNufvdunXj2bNnLF68mKdPn+Lq6sratWspVaoUAMWKFct3GbmRm8XEG0VuFhPa6ONmsd3RO3TO+3GlT/K9v6JCWgJCCIMgi8poJ0FACGEQZFEZ7SQICCEMgrQEtJMgIIQwCLKymHYSBIQQBqEgZge9DSQICCEMgiwvqZ0EASGEQZDuIO0kCAghDIIMDGsnzw4qBEd+PUIj9/c10hITE5kxbSYtm7Wikfv7DBs8nNu3bhdSDcXrkp6ezro16+nQ5mMa1m9Mz+69OHXyn2fARPwvgjo13LK9FsxdWIi1LpoK6tlBRZ20BF6z8+fOM37MRP59o/a4r8dzOfIyw0cNo0Tx4qz69jt8+35B6O4dGg+kEm+X9Ws3ELxkOV8N+ZKatVzZtfM/fDVwMN9v3YRLjepE/XUFCwsLVq39VuNztra2hVTjostYBoa1kiDwmiiVSkI2bSZ4yXIsLCzIyMhQb7t29Rq//3aMBYvn82GrlgBUqVqFj1q158ivR+nwcfvCqrYoYGH/+YmP2rdlgJ8vAB6eHpw7e56dobtwqTGWK1FXqFqtKrXr1C7kmhZ90h2knQSB1+TYb8dZ891aAkYNJ/5pPBvXb1Jvq1CxApu2bMS5upM6zdTsxVMTlakvXxlIFF1KpRKrLC09Y2NjrN+xJiE+HoCoqCs4OVcrrOq9VQytm0dXMibwmrjWcmXvz3vo2atHtpOxWLFi1K5Ti2LFipGWlsa1q9eYPGEKpUuXxqvlB4VUY/E6dP+sG3t27+HUiVMkJiYSsmkz165eo+1HbQC4GnWF+/fu082nO/Vre9Chzcfs3rW7kGtdNOVlURlDIi2B18Te3k6nfFO/mc7uXbsxMjJiauBk9QpF4u3U7dOunDl1hoG+g9RpQ4YOpoVXC+Li4njy5Cm3om8zNMAfG5t32Ld3P5PGT0ahUODd0bvwKl4ESUtAuxyDQPPmzXU+aEeOHNFXfQxet0+74t2xA4d/Ocyk8ZNJS0+nc5fsa52Kok+lUvHlF4O5fu06E74Zh+N773HqxCm+Xb6Sd2zeoaPPxyxfFYyTczX1QHDDxg15EPeAb5evkiCQR0bS8aFVjkFg9OjRjB8/nvfee4+WLVu+zjoZtFq1X6xo1MDTg9jYWNasWitB4C117o/znPvjHPMWzqV121YAeDRwJy09jaAFi/i4ozfvN2mc7XPvN32f48f+S9LfSVha5f85+4bCSCFBQJscg0D79u0pVqwYAQEBzJo1i+rVq7/OehmUmNsxnDkdTqfOHTVaX9VdqvP70WOFWDNRkGLv3wegdp1aGulu9dxYt3o9MTExnD/3J506d8TMzEy9PSUlBXNzcywsc182UGiS7iDtcg2NH374Ie3btycoKOh11ccgRd+MZsqkqZw5Ha5OU6lUnPzvSao5VS3EmomCVKlyJQDOnTuvkX7xwkVMTEy4fTuGGdNm8vtv//wQUKlU/HLoV9zqu8lFLY9kYFi7lw4MT5w4kZiYmNdRF4Pl2ciT2nVq8c34bxgybAglS5Zg54+7OH/uT4JXLivs6okCUsO1Bk2bN2XmtFkkxCfg+J4j4afDWbd6PT0+/4wWHzTHrZ4bgVNnkBCfgK1tGXZs+5Erf11h/fdrC7v6RY6hXdx1JWsMF4IVy75lw7qNnDz7X3Xa06dPWRK0lN+O/k5CfAIuri4M9v+KBp4ehVjT18/Q1hhOSUlh2eJg9u87QEJ8Au9Wepdun3ala/dPUCgUxD+NZ8miF+dF/NN4XGpUZ1jAUOq51yvsqr9W+lhjOPzhf1+e6f+5l8k+FvO2kiAg3iiGFgSEbvQRBM4+PKFz3vplGuV7f0WF3CcghDAIMjtIOwkCQgiDIGMC2kkQEEIYBJlNpZ0EASGEQZCWgHY5BoGePXvqXEhISIheKiOEEAVFgoB2OY6UvPvuuzq/hBDiTWekMNL59apWrlzJZ599ppEWExODn58f9erVo3HjxsybN4+0tDSNPCEhIbRs2ZLatWvTvXt3Lly4oPcycpJjS2DWrFk6FSCEEEVBQY8JhISEEBQUhJubmzpNqVTi6+uLo6MjW7du5fbt24wfPx4TExMCAgIACA0NZd68eUyfPh0XFxdWr17NgAED2LdvH6VLl9ZLGbnR+T6Bhw8fcv36ddLT0zW+4J9//snQoUPzfMAyyXxwkZXcJyC00cd9ApFP/9Q5r0uJOjrnjY2NZfLkyZw6dQoHBwdKlCjBli1bAAgLC2PcuHEcP36c4sWLA7B9+3ZmzpzJiRMnMDc3p02bNrRs2ZLRo0cDL9adbtWqFV26dGHw4MF6KSM3Og0M79q1i0mTJpGamopCoUClUqmjavny5fMVBIQQ4nUoqDGBiIgIrKys2L17N8HBwURHR6u3hYeH4+Lior54A3h6epKUlERERASVKlXi5s2beHp6qrcbGxtTv359wsPD9VZGbnQKAqtWraJDhw74+fnRrVs31q1bR2xsLFOnTsXf31+XIoQQolDlpTsoISGBhISEbOk2NjbY2NhopHl5eeHl5aW1nNjYWBwcHDTS7OxeLDB1//59zM3NAbTmuXjxot7KyI1OQeD27dssXbqUypUr4+zszOPHj/Hy8iItLY1vv/2Wjh076lKMEEIUmry0BDZs2MCyZdkf3jhkyJA8/fBNSUnByspKIy3zseDPnz8nOTlZIy1rHqVSqbcycqNTEDAzM1PvoFKlSvz11180bdqUmjVrajR9hBDiTZWXWT99+vTBxyf7Yk7/bgW8jLm5ebYLceZ7S0tL9a94bXksLS31VkZudDoqNWvWZOvWrQBUq1aN48ePA3DlyhVMTU11KUIIIQqZQueXjY0NFSpUyPbKaxBwcHAgLi5OIy3zvYODA+XKldNIy5rH3t5eb2XkRqcg4O/vT0hICGvWrMHb25uIiAjatGnD8OHD+fDDD3UpQgghCpVCodD5pS8eHh5ERkZqjC+cOnUKKysratSoQalSpXB0dOT06dPq7enp6Zw9e5YGDRrorYzcGE+ZMmXKyzKVK1cOHx8fKleujIODAx988AGJiYm0bNmSoUOHYmxsrNMB0SZNlfrKnxVvHxOjFy1LOS9EVpnnRX48VT7SeWWxksXKvNI+Dh06RHx8PJ988gnwovt89+7dnDx5EmdnZy5cuEBgYCC9e/emceMXaxaYmZmxdOlS7O3tMTU1ZcGCBURFRTFz5kwsLCz0UkZuZD0B8UaR+wSENvq4T+BGYpTOeR3fcXqlfYwdO5bo6Gj1fQIA0dHRTJs2jTNnzmBjY0OXLl0YNmwYRkb/dMSsXbuWDRs28PTpU1xdXZkwYQKurq56LSMnOgWB3r1757p948aNL91RTuSPXWQlQUBoo48gcPPZFZ3zVraulu/9FRU6zQ769+BCWloa0dHRXL9+/aUBQggh3gRGug2BGhydgsC8efO0pgcFBWm9oUIIId40sp6AdvkKjZ988gl79uzRV12EEKLA6DoobGiPnM7XojJXr16lkMeVhRBCJ9IS0E6nIJD5ZLqsnj17xokTJ2jbtq3eKyWEEPpmaL/wdaVTELh3757Ge4VCgampKb6+vvTr169AKiaEEPokQUC7fN8n8ODBA2xtbV/58zIVUGQlU0SFNvqYIno/+bbOeR0sKuZ7f0WFTgPDLi4uPH78OFv63bt3ad26td4rJYQQ+qf7s4MMSY7dQXv37uX3338HQKVSERgYSLFixTTyxMTE6PSUOiGEKGyGdWnXXY5BoG7duoSEhKhn/8TExGBi8k92hUKBlZWVrEUshCgiJAxoo9OYQK9evQgODs7zY1R1IX2/IisZExDa6GNMIC7lrs557czL5Xt/RYVOYwKbNm3izJkzHD58WJ02ceJEjh49WmAVE0IIfZKbxbTTKQhs376dYcOGcefOHXWaUqlk8ODB7N27t8AqJ4QQ+iJBQDuduoPatm2Lr68vXbt21Uj/4Ycf+P777wkLC3vlCkizX2Ql3UFCG310Bz1Mua9z3jLmDi/P9JbQqSVw7949GjZsmC29cePG3Lp1S++VEkIIfSuMlcWKAp2CQPny5Tl58mS29LNnz2JnZ6f3SgkhhHg9dHpsRM+ePZk5cya3bt2iTp06AFy8eJGNGzfi7+9foBUUQgh9MLS+fl3p/NiINWvWsH79eh48eACAnZ0dfn5+tGnThjJlXm09TpC+X6FJxgSENvoYE3jy/IHOeUsWe/VH4RQ1eX520JMnTzA1NSUiIoItW7bwyy+/cPHixVeugPyxi6wkCAht9BEEniof6py3hNmr/7AtavK0nkBiYiJhYWFs3bqVGzduYGZmho+PT0HVTQgh9Ei6g7TRKQhcvHiRrVu3snfvXpKTk1EoFPTu3Rs/Pz9KlSpV0HUUQoh8kxCgXY5BICUlhZ9++oktW7YQERGBlZUVrVu3pl27dgwePJiuXbtKABBCFCESBrTJMQg0a9aMjIwMmjVrhp+fHy1atMDMzAxAlpQUQhQ5hjb/X1c53ieQlpaGlZUV5ubmpKamkpaW9jrrJYQQeiWPjdAux5bA8ePH2b9/Pzt27CA0NBRzc3OaN29Ou3btJKIKIYoguW5po9MU0Zs3b7Jjxw7+85//8ODBAxQKBZ06dWLAgAFUqVIlXxWQqYAiK5kiKrTRxxTRZ6nxOue1Ni2e7/0VFXm6TyAjI4MjR44QGhrKkSNHSE9Pp2HDhqxbt+6VKyB/7CIrCQJCG30Egb/TEnTOa2Wi/7VT3lSvvND848eP2blzJ6GhoezZs+eVKyB/7CIrCQJCG/0EgUSd81qZvJPv/RUVrxwE9EX+2EVWEgSENvoIAklpz3TOa2line/9FRV5umNYCCGKKpnQol2hBwF9RHjx9pHzQojXo9C7g4QQQhQenRaVEUII8XaSICCEEAZMgoAQQhgwCQJCCGHAJAgIIYQBkyAghBAGTIKAEEIYMAkCQghhwCQICCGEAZMg8C9eXl44OzurXy4uLri7u9O3b1/++OMPve8vOjoaZ2dnTp06BcDYsWP57LPPdPqsSqVi586dPHr0KMc8GRkZLFmyhKZNm1KnTh369+9PdHS0XupuSN628yKrlStX6ly2ePtIENCiT58+HDt2jGPHjnH06FE2b96Mubk5/fv35+7duwW67wkTJrBixQqd8p48eZKxY8eSnJycY57g4GC2bNlCYGAgP/zwA8bGxvj6+vL8+XN9VdlgvE3nRaaQkBCCgoLyWz1RhEkQ0MLCwgJbW1tsbW2xs7PDycmJqVOnkpyczMGDBwt03++88w4lSpTQKe/LHvukVCpZu3YtQ4YMoXnz5lSvXp2goCAePnzIvn379FFdg/K2nBcAsbGxDBo0iPnz5+Po6Jjf6okiTIKAjkxMXjxwtVixYsCL7oHZs2fToUMHGjRowG+//QbAjh07+Oijj6hVqxZt27Zl1apVpKWlqcuJioqid+/e1K1bl9atW3P69GmN/fy72X/79m38/f1xd3enQYMG+Pv7c//+fU6dOkW/fv0AaNmyJUuXLs1W58jISJKSkmjYsKE6zdramho1ahAeHq6nI2PYiuJ5ARAREYGVlRW7d++mTp06+jsgosgp9EdJFwWxsbHMnj0bS0tLmjVrpk7//vvvCQ4OpkyZMrz33nts3ryZRYsWMWnSJOrWrUtUVBTTp0/n9u3bTJ8+ncTERPr27Uvt2rXZtm0bcXFxTJw4Mcf9JiYm0rNnT6pUqcK6deswNTVl+vTpDBo0iG3btrFo0SKGDx/O9u3bta71HBsbC4C9vb1Gup2dHffu3dPT0TFcRfW8gBfBysvLS+/HRBQ9EgS0WLNmDRs3bgQgLS0NpVLJe++9x6JFiyhXrpw6X5MmTWjevLn6/bfffoufnx/e3t4AVKxYEaVSyYgRIxgxYgQHDhwgKSmJOXPmULx4cZycnBg7dizDhg3TWo89e/YQHx/PwoULKVmyJAAzZsxg27ZtKJVKihd/sRh2qVKlsLKyyvb5zD5hMzMzjXQzMzOUSuWrHh6D9bacF0JkJUFAi65du9K3b18AjIyMKFGiBO+8k33N0UqVKqn///Hjx8TGxrJ48WKWLVumTs/IyCAjI4ObN28SFRVFxYoV1X+kAG5ubjnWIyoqinfffVf9hw5QuXJlRo8erdP3MDc3B16MDWQNBEqlEktLWbQlr96W80KIrCQIaGFjY6Pxh5yTzIssvPijBhgzZgxNmjTJltfe3p6wsLBs6aampjmWn9s2XZQtWxaAuLg4rK3/WTM1Li6OqlWr5qtsQ/S2nBdCZCUDw3pSunRpSpcuza1bt6hUqZL6df36dRYsWEBaWhouLi5ER0fz+PFj9ecuXryYY5lVqlTh1q1bxMfHq9Nu3LiBh4cHV69efemaqdWrV8fa2lpjkPHZs2dcunSJBg0a5OPbCl29ieeFEFlJENAThULBwIEDCQkJYePGjdy6dYvDhw8zYcIE4MWsnPbt21OmTBlGjhzJ5cuXOX36NLNmzcqxTG9vb0qWLMnXX39NZGQkly5dMS72OAAAAQJJREFUYsKECVSqVIkqVaqo+3sjIyNJTEzM9nkzMzM+//xzgoKCOHToEJcvXyYgIAB7e3tat25dMAdCaHgTzwshspIgoEd9+/Zl4sSJbNmyhXbt2jF58mS8vb2ZM2cOAJaWlmzcuBFTU1M+/fRTxowZw8CBA3Msz8LCgjVr1gDQo0cP+vXrR9myZVmxYgUKhYLq1avj5eVFQEAAixcv1lrG0KFD6dq1K9988w2fffYZKpWK1atXZxssFgXnTTwvhMgkC80LIYQBk5aAEEIYMAkCQghhwCQICCGEAZMgIIQQBkyCgBBCGDAJAkIIYcAkCAghhAGTICCEEAZMgoAQQhiw/wNJka82WzUQrQAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8174,6 +8606,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.979409784419193\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8182,13 +8615,34 @@
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55880   983]\n",
-      " [   11    87]]\n"
+      "[0]\tvalidation_0-error:0.022965\tvalidation_1-error:0.027545\n",
+      "[5]\tvalidation_0-error:0.009769\tvalidation_1-error:0.006952\n",
+      "[10]\tvalidation_0-error:0.005412\tvalidation_1-error:0.006004\n",
+      "[15]\tvalidation_0-error:0.003834\tvalidation_1-error:0.005232\n",
+      "[20]\tvalidation_0-error:0.002091\tvalidation_1-error:0.004442\n",
+      "[25]\tvalidation_0-error:0.001679\tvalidation_1-error:0.00381\n",
+      "[30]\tvalidation_0-error:0.001376\tvalidation_1-error:0.003371\n",
+      "[35]\tvalidation_0-error:0.001097\tvalidation_1-error:0.002826\n",
+      "[40]\tvalidation_0-error:0.000947\tvalidation_1-error:0.002352\n",
+      "[45]\tvalidation_0-error:0.000789\tvalidation_1-error:0.002019\n",
+      "[50]\tvalidation_0-error:0.000706\tvalidation_1-error:0.001861\n",
+      "[55]\tvalidation_0-error:0.000627\tvalidation_1-error:0.00172\n",
+      "[60]\tvalidation_0-error:0.000539\tvalidation_1-error:0.001527\n",
+      "[65]\tvalidation_0-error:0.000464\tvalidation_1-error:0.001387\n",
+      "[70]\tvalidation_0-error:0.000372\tvalidation_1-error:0.001211\n",
+      "[75]\tvalidation_0-error:0.000301\tvalidation_1-error:0.001018\n",
+      "[80]\tvalidation_0-error:0.000259\tvalidation_1-error:0.000878\n",
+      "[85]\tvalidation_0-error:0.000211\tvalidation_1-error:0.000843\n",
+      "[90]\tvalidation_0-error:0.000196\tvalidation_1-error:0.00079\n",
+      "[95]\tvalidation_0-error:0.000178\tvalidation_1-error:0.000685\n",
+      "[99]\tvalidation_0-error:0.000138\tvalidation_1-error:0.000667\n",
+      "[[56844    19]\n",
+      " [   19    79]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8200,6 +8654,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9611256844682547\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8208,13 +8663,34 @@
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55795  1068]\n",
-      " [    9    89]]\n"
+      "[0]\tvalidation_0-error:0.029776\tvalidation_1-error:0.00718\n",
+      "[5]\tvalidation_0-error:0.013807\tvalidation_1-error:0.003336\n",
+      "[10]\tvalidation_0-error:0.006727\tvalidation_1-error:0.004055\n",
+      "[15]\tvalidation_0-error:0.002796\tvalidation_1-error:0.003827\n",
+      "[20]\tvalidation_0-error:0.001321\tvalidation_1-error:0.003494\n",
+      "[25]\tvalidation_0-error:0.001121\tvalidation_1-error:0.00323\n",
+      "[30]\tvalidation_0-error:0.000868\tvalidation_1-error:0.002686\n",
+      "[35]\tvalidation_0-error:0.000723\tvalidation_1-error:0.002212\n",
+      "[40]\tvalidation_0-error:0.000605\tvalidation_1-error:0.002054\n",
+      "[45]\tvalidation_0-error:0.000554\tvalidation_1-error:0.001984\n",
+      "[50]\tvalidation_0-error:0.000506\tvalidation_1-error:0.001685\n",
+      "[55]\tvalidation_0-error:0.000459\tvalidation_1-error:0.001562\n",
+      "[60]\tvalidation_0-error:0.000361\tvalidation_1-error:0.001404\n",
+      "[65]\tvalidation_0-error:0.000301\tvalidation_1-error:0.001282\n",
+      "[70]\tvalidation_0-error:0.000279\tvalidation_1-error:0.001229\n",
+      "[75]\tvalidation_0-error:0.000222\tvalidation_1-error:0.001088\n",
+      "[80]\tvalidation_0-error:0.00016\tvalidation_1-error:0.000895\n",
+      "[85]\tvalidation_0-error:0.00013\tvalidation_1-error:0.000772\n",
+      "[90]\tvalidation_0-error:0.000119\tvalidation_1-error:0.000702\n",
+      "[95]\tvalidation_0-error:8.1e-05\tvalidation_1-error:0.000667\n",
+      "[99]\tvalidation_0-error:7.7e-05\tvalidation_1-error:0.000614\n",
+      "[[56846    17]\n",
+      " [   18    80]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8226,6 +8702,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9841529246628219\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8234,13 +8711,34 @@
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
       "Oversampling is complete!\n",
-      "[[55732  1131]\n",
-      " [   13    87]]\n"
+      "[0]\tvalidation_0-error:0.023908\tvalidation_1-error:0.010621\n",
+      "[5]\tvalidation_0-error:0.018558\tvalidation_1-error:0.007795\n",
+      "[10]\tvalidation_0-error:0.009719\tvalidation_1-error:0.005425\n",
+      "[15]\tvalidation_0-error:0.0029\tvalidation_1-error:0.004108\n",
+      "[20]\tvalidation_0-error:0.001372\tvalidation_1-error:0.003599\n",
+      "[25]\tvalidation_0-error:0.001038\tvalidation_1-error:0.002774\n",
+      "[30]\tvalidation_0-error:0.000785\tvalidation_1-error:0.002405\n",
+      "[35]\tvalidation_0-error:0.000666\tvalidation_1-error:0.002036\n",
+      "[40]\tvalidation_0-error:0.000554\tvalidation_1-error:0.001966\n",
+      "[45]\tvalidation_0-error:0.000525\tvalidation_1-error:0.001826\n",
+      "[50]\tvalidation_0-error:0.000486\tvalidation_1-error:0.001633\n",
+      "[55]\tvalidation_0-error:0.000437\tvalidation_1-error:0.001475\n",
+      "[60]\tvalidation_0-error:0.000365\tvalidation_1-error:0.001299\n",
+      "[65]\tvalidation_0-error:0.00033\tvalidation_1-error:0.001159\n",
+      "[70]\tvalidation_0-error:0.000257\tvalidation_1-error:0.001018\n",
+      "[75]\tvalidation_0-error:0.000209\tvalidation_1-error:0.000966\n",
+      "[80]\tvalidation_0-error:0.000178\tvalidation_1-error:0.000948\n",
+      "[85]\tvalidation_0-error:0.000163\tvalidation_1-error:0.000895\n",
+      "[90]\tvalidation_0-error:0.000136\tvalidation_1-error:0.000808\n",
+      "[95]\tvalidation_0-error:0.000121\tvalidation_1-error:0.00079\n",
+      "[99]\tvalidation_0-error:0.00011\tvalidation_1-error:0.000755\n",
+      "[[56838    25]\n",
+      " [   18    82]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8252,18 +8750,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9787336229182421\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9807343275800067, 'sensitivity': 0.9005306122448979, 'specificity': 0.9808733271195681, 'precision': 0.0756715209998583, 'f1': 0.1395714297562733, 'auc': 0.9407019696822332, 'actual_accuracy': 0.9121951219512194}\n"
+      "{'accuracy': 0.9993399045302995, 'sensitivity': 0.8293061224489795, 'specificity': 0.9996342085363066, 'precision': 0.7976224910351628, 'f1': 0.8128823055873342, 'auc': 0.9786371267568633, 'pr_auc': 0.8395228139299723, 'actual_accuracy': 0.9658536585365853}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -8271,39 +8770,96 @@
     }
    ],
    "source": [
-    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'SVM_Linear2', 'Linear SVM with C=2', 5)"
+    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'XGBoost', 'XGBoost', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
+   "execution_count": 69,
+   "metadata": {
+    "scrolled": false
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9807343275800067,\n",
-       " 'sensitivity': 0.9005306122448979,\n",
-       " 'specificity': 0.9808733271195681,\n",
-       " 'precision': 0.0756715209998583,\n",
-       " 'f1': 0.1395714297562733,\n",
-       " 'auc': 0.9407019696822332,\n",
-       " 'actual_accuracy': 0.9121951219512194}"
+       "{'accuracy': [0.9992977651375503,\n",
+       "  0.9994382121100402,\n",
+       "  0.9993328768806727,\n",
+       "  0.9993855444953564,\n",
+       "  0.9992451240278778],\n",
+       " 'actual_accuracy': [0.967479674796748,\n",
+       "  0.9735772357723578,\n",
+       "  0.9613821138211383,\n",
+       "  0.9634146341463414,\n",
+       "  0.9634146341463414],\n",
+       " 'sensitivity': [0.8367346938775511,\n",
+       "  0.8673469387755102,\n",
+       "  0.8061224489795918,\n",
+       "  0.8163265306122449,\n",
+       "  0.82],\n",
+       " 'specificity': [0.9995779329265075,\n",
+       "  0.9996658635668185,\n",
+       "  0.9996658635668185,\n",
+       "  0.9997010358229429,\n",
+       "  0.9995603467984454],\n",
+       " 'precision': [0.7735849056603774,\n",
+       "  0.8173076923076923,\n",
+       "  0.8061224489795918,\n",
+       "  0.8247422680412371,\n",
+       "  0.7663551401869159],\n",
+       " 'f1': [0.803921568627451,\n",
+       "  0.8415841584158416,\n",
+       "  0.806122448979592,\n",
+       "  0.8205128205128205,\n",
+       "  0.7922705314009661],\n",
+       " 'auc': [0.9897636173158042,\n",
+       "  0.979409784419193,\n",
+       "  0.9611256844682547,\n",
+       "  0.9841529246628219,\n",
+       "  0.9787336229182421],\n",
+       " 'pr_auc': [0.8419206037018302,\n",
+       "  0.8701432782748878,\n",
+       "  0.8134080829894111,\n",
+       "  0.8308752044990679,\n",
+       "  0.8412669001846648],\n",
+       " 'final': {'accuracy': 0.9993399045302995,\n",
+       "  'sensitivity': 0.8293061224489795,\n",
+       "  'specificity': 0.9996342085363066,\n",
+       "  'precision': 0.7976224910351628,\n",
+       "  'f1': 0.8128823055873342,\n",
+       "  'auc': 0.9786371267568633,\n",
+       "  'pr_auc': 0.8395228139299723,\n",
+       "  'actual_accuracy': 0.9658536585365853},\n",
+       " 'model': XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
+       "               colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
+       "               learning_rate=0.1, max_delta_step=0, max_depth=6,\n",
+       "               min_child_weight=1, missing=None, n_estimators=100, n_jobs=1,\n",
+       "               nthread=1, objective='binary:logistic', random_state=42,\n",
+       "               reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=42,\n",
+       "               silent=None, subsample=1, verbosity=1)}"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "results['final']"
+    "results"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
    "metadata": {
     "scrolled": true
    },
@@ -8317,13 +8873,34 @@
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55824  1039]\n",
-      " [    6    92]]\n"
+      "[0]\tvalidation_0-error:0.035537\tvalidation_1-error:0.019434\n",
+      "[5]\tvalidation_0-error:0.026441\tvalidation_1-error:0.010516\n",
+      "[10]\tvalidation_0-error:0.019485\tvalidation_1-error:0.009498\n",
+      "[15]\tvalidation_0-error:0.016061\tvalidation_1-error:0.007057\n",
+      "[20]\tvalidation_0-error:0.010514\tvalidation_1-error:0.006145\n",
+      "[25]\tvalidation_0-error:0.007461\tvalidation_1-error:0.005425\n",
+      "[30]\tvalidation_0-error:0.004528\tvalidation_1-error:0.004723\n",
+      "[35]\tvalidation_0-error:0.004095\tvalidation_1-error:0.004143\n",
+      "[40]\tvalidation_0-error:0.003915\tvalidation_1-error:0.003494\n",
+      "[45]\tvalidation_0-error:0.002425\tvalidation_1-error:0.002862\n",
+      "[50]\tvalidation_0-error:0.001084\tvalidation_1-error:0.002897\n",
+      "[55]\tvalidation_0-error:0.000963\tvalidation_1-error:0.002563\n",
+      "[60]\tvalidation_0-error:0.000871\tvalidation_1-error:0.002405\n",
+      "[65]\tvalidation_0-error:0.000783\tvalidation_1-error:0.002194\n",
+      "[70]\tvalidation_0-error:0.000635\tvalidation_1-error:0.001826\n",
+      "[75]\tvalidation_0-error:0.000561\tvalidation_1-error:0.00165\n",
+      "[80]\tvalidation_0-error:0.000532\tvalidation_1-error:0.001457\n",
+      "[85]\tvalidation_0-error:0.000466\tvalidation_1-error:0.001282\n",
+      "[90]\tvalidation_0-error:0.000422\tvalidation_1-error:0.001264\n",
+      "[95]\tvalidation_0-error:0.000382\tvalidation_1-error:0.001159\n",
+      "[99]\tvalidation_0-error:0.000352\tvalidation_1-error:0.001124\n",
+      "[[56814    49]\n",
+      " [   15    83]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY8AAAEKCAYAAADq59mMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3deXhMZ/sH8O+ZSSaZySIrIUjsWUgERW1RQtGopbWUlrSpWqvW8qJiqeXVhlbFEtrYFVFqa0kQQnltESU0EUItERFJSCaSSe7fH36ZZrLIHJ3JZOL+uOa65DnPnHOfZeae5zzPOUcgIgJjjDEmgsTQATDGGDM+nDwYY4yJxsmDMcaYaJw8GGOMicbJgzHGmGicPKoAHjBXNVTEfuRjpWqoDPtR6+Rx8eJFBAQEwNXVFXK5HPXq1UNAQAD++usvvQV3/PhxeHp6wszMDB4eHjqb75w5cyAIAlQqlc7mWZb169dDEAQIgoDLly+XWufKlSvqOklJSaLm/+OPP2LixInl1nN1dcWHH34oat7F6Wt/AMCDBw/g6OgIT09PKJXKEtN37twJQRCwbt06jfKMjAwsXrwYb7zxBuzt7SGXy9G4cWNMmDAB9+/f16hbuN+LvhQKBTw9PfHNN9+goKBAp+ukrfT0dAQEBODYsWM6m2dSUpLG9nr+/DkmT56MjRs3qut07twZHTp00NkyK0rxdauMdPF5K8uCBQuwePFi9d8BAQGoXbu2Xpb1MloljzVr1qBNmzZISkrC3LlzsW/fPvznP//B2bNn0apVK5w6dUovwU2aNAlZWVnYvXs3wsLCdDbfTz75BNHR0TAxMdHZPMsjkUiwffv2Uqdt3br1lec7f/58pKamllsvPDwcs2fPfuXlAPrbHwBQs2ZNrFu3DnFxcZg6darGtISEBAQGBmLIkCH49NNP1eVxcXHw8fFBcHAwevXqhU2bNmHfvn0YMWIEwsPD4ePjg4SEhBLLioqKQnR0NE6cOIFdu3ahX79+mD59OubNm6fTddLWpUuXsGHDBp0mr5o1ayI6Ohq9e/cG8CI5L126FHl5eTpbBjOMWbNmISsry9BhAFSO06dPk1QqpbFjx5aY9uTJE2rYsCHVq1ePVCpVebMSzdXVlYYMGaLz+VaksLAwAkCdOnWiRo0alVqnXr165OPjQwDo1q1boubv4uJCQ4cO1UGk5auI/fHZZ58RANq/fz8REWVnZ5OXlxc1btyYnj59qq6Xk5NDTZs2pbp169L9+/dLzOfhw4fk7OxMPXr0UJcFBQURAMrLyytR/4MPPiBHR0c9rFH5jh07RgAoIiJCb8u4desWAaC1a9eqy3x9fal9+/Z6W6a+lLYulY0+P5cAaObMmeq/hw8fTs7OznpZ1kvjKK9Cv379yN7enrKyskqdvnfvXpo5cyalpqaqy7Zv306tWrUiCwsLql69Oo0YMUJjelBQEDVo0IAOHTpEPj4+ZGZmRi4uLrR06VIi+ufgKPoKCwtTfxEnJCRoxNC+fXvy9fVV/x0TE0PdunUjGxsbUigU1KFDBzp8+LDG8ot/ifzbmMtSGHNISAgBoIsXL2pMP336NJmYmNDChQtLJI/du3dTx44dydLSkmQyGTVp0oSWL1+unl58GxWNc9GiRWRvb0/Vq1env//+W+NgnjRpEgHQ2Ca7d+8mALRs2bIS61DW/iAiio+Pp/fff5+cnJxILpdTp06d6Pjx4yXe+/3331PTpk1JLpfT999/X+b2ysrKIjc3N6pevTo9evSIRo0aRebm5nTp0iWNeps3byYAtHv37jLntXbtWho5ciTl5+ert01ZyWPcuHElkkd560ZElJ6eTpMmTaL69euTmZkZeXh4UGhoqEadlx2PhcdH4Wv48OElYrt06RIBoB07dqjLLly4QABo3Lhx6rK8vDyqVq0aLVq0SOMLtjA5Fb4KPyuFyWPZsmXk6upKZmZm5OPjo3FclEVXn5ecnByaNm0a1alTh2QyGXl4eND69etfuuzSkkdaWhqNGjWKatSoQWZmZtSyZUs6cOCAxvvK+15QKpU0fvx4dSwNGjSg2bNnl3q8FHXy5Enq0KEDKRQKql+/PoWHh5dIHvn5+bRkyRJq2LAhyWQyql+/Pn3zzTdUUFCgrjN8+HBq3749hYWFUd26dUmhUNBbb72l/s4o/jl0cXFRv8/Z2Zm2bNlCbm5uJJPJyM3NjbZs2fLSuP+tlyaPgoICksvlNHDgQK1nOH/+fAJAI0aMoP3799Py5cvJ1taWmjZtqk5AQUFBZGFhQbVr16YVK1bQoUOHqH///uovtJycHIqOjiYnJyfq3r07RUdH08OHD7VKHhkZGeTg4EDvvvsu7d+/n/bv309dunQhU1NTunnzpnr5Rb9EdBFzWQpjvn79Ojk6OtL06dM1po8fP5569OhBa9eu1Uge+/fvJwA0evRoOnToEO3Zs4e6d+9OACg6OpqIqMQ2KozT1NSU3N3d6cCBA+ov+aIHs1KpJHd3d6pXrx5lZWXRw4cPydHRkbp3765xMBcqa39cvXqVrKysyMvLi7Zs2ULh4eHUqVMnMjExoSNHjhDRPwe8mZkZrVixgnbu3Fli/xV34cIFkslk1KJFCwJAq1atKlGnf//+ZGNjU+4Hu6jC/Z6Tk0N5eXmUl5dHGRkZtG/fPrKxsaH58+er62qzbtnZ2dS0aVOyt7en5cuX04EDB+jTTz8lADR37lwiKv94fPjwIS1fvlyduOPj40uNvU6dOjRixAj13//9738JAHl6eqrLjh8/TgDoypUrGl+w6enptHPnTgJA06ZNo8uXLxPRi+QhlUrJx8eHduzYQbt27SI3NzdSKBT06NGjMrejLj8v77zzDikUClq4cCEdOHCARo0apf6xVZbiySMnJ4d8fHzI3t6efvjhB9q7dy8NGDCAJBIJ7d27V6v9QEQ0YsQIcnZ2pvXr11NkZCQFBQWRIAj09ddflxlLbGwsmZmZUadOnWj37t0UGhpKNWrUIBMTE43kMWbMGJJKpTRt2jQ6cOAAzZgxgyQSCU2dOlVdZ/jw4VStWjVydHSk0NBQ2rlzJzVt2pSsra3p77//Vn8OAdCwYcPo3Llz6vdJpVKqX78+bdiwgfbv30/t2rUjiURCV65cKTP2f+ulySMlJUV9wGkjLS2NzMzM6OOPP9Yoj4qKUv/6JPrnQ1z0l0FWVhbJZDKNX1LFs7c2yePMmTMEgE6dOqWxHhMnTlRvyKLJQ9cxF1c05tGjR1ODBg3U01QqFTk5OdGGDRtKJI/FixfT4MGDNeaVmppKADS+5Ipvo8I4Dx48qPHe4vXOnTtHJiYmNH36dOrXrx85ODjQgwcPylyP0uYxcOBAsrW1pSdPnqjLcnNzqVGjRuTj40NE/3zQxfwAISKaPXs2AaDOnTuXOt3b25tatmxZolylUqkTQ+GrMCEWbpvSXu3ataPMzExR67Zy5UoCQFFRURoxBAQEkJmZGaWkpGh1PGpz2mrUqFHk6uqq/rt79+7UqlUrEgSBUlJSiIho+vTpVK9ePSIq+QVb1mmrwjgLHTx4kACov3SL0+XnJSIiggDQhg0bNOY1YsQIsrGxoezs7FJjKL4uhZ+d4vuhe/fu1LhxYyLS7nvBzc1NI0ETEQUHB9PGjRtLjYOIaPDgwVSjRg2NWAu/4As/K/Hx8SQIgvoHRaEFCxaQVCqlO3fuENGLJACAjh07pq5z7949Mjc3p0mTJqnLSjttBYBiY2PVZXFxcQRA40yFrr20w7ywQzk/P/9l1dTOnDmD58+fY8iQIRrlvr6+cHFxQVRUlEZ50ZEeCoUC9vb2/7ojqGnTpnByckLv3r0xduxY7N27F+bm5li6dCk8PT0NGvOgQYOQmJiICxcuAACOHTuGjIwM9OvXr0TdadOmYdu2bVAqlYiNjUV4eDiWLFkC4MXImfI0a9bspdNbtWqFGTNmYMmSJdi9ezd+/PFHODk5abUehaKiotCrVy/Y2Nioy0xNTTFkyBDExMQgIyND63iKev78Ofbu3QtBEHD69OlSR6nl5+dDEIQS5d7e3jA1NdV4HT9+XKPOmTNncO7cOZw7dw7R0dFYvXo17ty5g/bt2+Pp06dar1tUVBScnZ3h6+urMf/hw4fj+fPnOH36tOjjsSz+/v5ISkpCYmIicnNzcfLkSUybNg0SiUR9jB48eBDvvvuu1vMEAHd3dzg6Oqr/btCgAQDgyZMnpdbX5eflyJEjAIB3330XKpVK/erXrx/S09Nx9uxZrdbhyJEjcHBwQPv27UvMJz4+Hrdv39ZqP3Tr1g1r166Fv78/Vq1ahZs3b2LSpEn46KOPylx2VFQUevToAblcrrHOderUUf999OhREBH69u1bIr78/HwcPXpUXbdOnTro3Lmz+u9atWqhXbt2JY7h4mxsbODl5aX+u7z9qAsvTR62trawsrJ66fDRnJwcJCcnAwDS0tIAoNQvIScnJ6Snp2uUKRQKzWAkkn894sTCwgKnTp1C//79ER4ejj59+sDR0RFDhw7V+DIrVJExd+zYEc7OztixYwcAYNu2bfD394eVlVWJuo8fP8agQYNgbW2Nli1b4quvvlIfCKTFGG9tEsHw4cNBRLC1tUWnTp20Woei0tLSytxuADS2t5jENGnSJPz555/YtWsXFAoFhgwZUmL4rqurK27fvl1iW2zfvl2dGEJCQkqdf8uWLdGqVSu0atUKHTp0wMiRI7Ft2zb8+eef6uGf2qxbeXXS09NFH49l6dq1KxQKBSIiInDq1Cnk5eWhZ8+eaNGiBaKionD//n1cvnxZPbpKWxYWFhp/SyQvvhLKOqZ1+XkpHCVoa2urkex79eoFALh3755W65CamorU1NQSPxpGjx6tno82+yE4OBjffvst7t69i7Fjx6JBgwbw8fFBdHR0mct+/PixRvItVKtWLY34gJI/bAqHuxddT2dn5xLzql69erlJQOx+1IVyh+q+/fbbOHbsWKlj7wFgx44dqFmzJn777TfY2dkBgDqZFHX//n04ODj8q2ALf2kWbwllZmZq/F2/fn2sXbsWycnJiImJwcSJE7F9+3bMnDmzxDz1HXNREokEAwYMwM6dO5Gbm4tffvkFH3zwQal1P/jgA/zxxx+IjIxEVlYWrl27hu+++05nsRARRo4cqf6FNG7cONHzsLOzK3O7AYC9vb3oee7atQsrV67EzJkz0a9fP6xatQpXr17FlClTNOr16dMHjx49KnFthKenpzoxNG7cWOvl+vj4AADi4+MBaLdu5dUpPHbEHI9lMTc3R5cuXRAREYFjx46hdevWsLCwQJcuXRAVFYXffvsN1apVe6UfAWLo8vNiY2MDuVyuTvbFX2+//bbW86lfv36Z8yls9Za3H0xNTTF58mRcunQJycnJCAsLQ2ZmJvr06YPc3NxSl+3o6Fjqtig6fL6w9RoREVFqfAEBAaW+r1BycjKqV6+u1baoSOUmj8mTJyMtLQ3Tp08vMS0tLQ3z5s1D7dq10a1bN7Rp0wZmZmYlrls4ceIE/v777399QZK1tTUA4M6dO+qy5ORkXL9+Xf13eHg4HB0d8eDBAwiCgObNm2PRokVwc3MrtQWl75iLGzRoEG7duoVFixaBiNS/soo7efIk+vbtC19fX5iZmQF4cVoC0Pw1IZVKXymOkJAQREZGYu3atfjmm2+wZcsW7Nq1S9Q8fH19cfDgQY1fmyqVCj///DN8fHxK/BoqT1JSEj799FO0a9dOfU3KoEGD8OGHH2LlypXYt2+fuu6QIUPg7u6OkSNH4u7du6XO79KlS1ov+48//gAANGrUSOt18/X1xb1793DixAmNeW3evBkmJiZo27atVsejtvvQ398fx44dw/Hjx9GlSxcAQJcuXRAXF4ewsDD06NEDpqampb73VY+T4nT5eencuTOUSiVyc3PVCb9Vq1ZISEjAzJkztT4d3LlzZ9y9exf29vYa8zlx4gTmzp0LiURS7n5QKpVo3LgxvvnmGwAvfu0HBARg9OjRePLkSYkfqIW6deuGgwcPaky/fPkybt68qf678LRmSkqKRnzPnj3DtGnTNC5mTUxM1DhNe+/ePZw+fRpdu3ZVlxW2KgxOm46RBQsWEADq1q0bbdq0iQ4fPkzfffcdubi4kKWlpbrXn+ifjrLPPvuMDhw4QCtWrCB7e3tq0qSJepx+WUMmnZ2dNYYqFu+gzcjIIAsLC2rWrBnt2bOHtm/fTt7e3uTo6KjuML9//z7Z2dlRy5Ytafv27XT48GH10NTCjq/iy9dlzMWV1snv6upKpqamGp2OxTvMO3fuTPb29hQWFkYRERE0d+5cUigUJAgCjR8/Xv2+Fi1aUNOmTSkyMpLy8/PLjLPotkxISCCFQqER91tvvUUODg708OHDMtel+P64cuUKWVhYkJeXF23dupV++eUXeuutt0gqldLvv/9ORNqPyc/NzaXWrVtTtWrVKCkpSWNaRkYGubi4kIODg8Y1HX/99Re5ubmRjY0NTZ48mfbs2UMRERH0ww8/UNu2bdUd4YXvKdw2UVFRFB0dTdHR0XT8+HFavXo11axZk2rVqkWPHz/Wet2ysrLIw8NDPcrnwIEDNHLkSI0OTW2Ox8uXLxMAmjRp0ktHx9y9e1fdwX/06FF1DDKZjADQ5s2b1XWLb/eMjAwCQEOGDKHz588TUenXeSQkJGgMxS6Nrj4v+fn51LlzZ6pevTp99913FBERQUuWLCGFQkF+fn5lLr/4uj179ozc3d2pfv36FBoaShERETRz5kySSqUUGBio9X4YPHgwWVhY0LfffkuRkZG0bt06cnJyoi5dupQZS2JiIllbW1OrVq0oPDycNmzYQC4uLiSXyzU+K8OGDSNLS0uaP38+HT58mFatWkUODg7k6elJOTk5RPSi41sikZCLiwtt3ryZfv75Z/Lw8KAaNWpojH6zs7Ojrl27qkdYlnadR15eHgGgoKCgMmP/t7RKHkREv//+O/n7+5OzszOZmZlRgwYN6JNPPqHExMQSdVetWkUeHh4kk8moZs2aNGrUKPWHkujVkwfRixEaLVq0UI+VXrlyJQUGBmpc53HhwgXq2bMnOTg4kJmZGXl5edFPP/300uXrKubiSkse06ZNKzG6pnjySEpKIn9/f6pWrRpVq1aN3njjDdq4cSP16tVLPdqHiCg8PJwcHBzIwsKCbt26VW7yyM/Pp3bt2lGNGjU01u/GjRskl8upT58+Za5LafsjJiaGevbsSZaWlmRpaUldunQp9TqP8pJH4Qd527ZtpU4/ceIESSQS6tatm8Zw4uzsbFq+fDm1b9+eHBwcSCaTUZ06dWjQoEG0f/9+jbqljbYyMTEhZ2dn+vDDD9VDNrVdNyKiR48e0aeffkrVq1dXH2vFr/Mo73jMz8+njz76iMzMzKhnz54v3U6F10wolUp1WadOnUgqlWrsz9K2+7Rp00ihUJCHhwcRvXryINLd5yUrK4umTJmivrbCxcWFJk+erHFBaHGlrdujR49oxIgR6us8GjVqRF9//bXG8svbD8+ePaNJkyaRq6urxnqlpaW9dFvExsaSn58fWVhYkLOzMy1fvpzatGmj8VlRqVS0YMECatiwIZmamlKtWrVoxIgRlJycrK5TmAR++uknqlWrFllZWVHfvn1LHJfLly8na2trsrW1pefPnxsseQhEleAOW4wx9poLCAhAZGRkmadhK5tKcvKMMcaYMeHkwRhjTDQ+bcUYY0w0bnkwxhgTreIeaMEYY68RoZv2D2iiCOPoJC/qtUseYnYoq/oKP7Q5+dkGjoRVFuZSRfmV2OuXPBhjrEKUcuPOqoSTB2OM6YOUkwdjjDGxqnbu4OTBGGN6waetGGOMiVbFL4Tg5MEYY/rALQ/GGGOiVe3cwcmDMcb0gkdbMcYYE41PWzHGGBOtaucOTh6MMaYXkqqdPTh5MMaYPlTt3MHJgzHG9EJatS/04OTBGGP6wC0PxhhjovFoK8YYY6JV7dzByYMxxvSCR1sxxhgTrWrnDk4ejDGmF3x7EsYYY6JxhzljjDHRqnbu4OTBGGN6wS0PxhhjounwAvMvv/wSCoUCAFC9enX4+flh/fr1kEql8PLywoABA1BQUIB169bh9u3bMDU1xahRo+Dk5IT4+Hit64rByYMxxvRBR0N1c3NzAQBz5sxRl02dOhWTJ09GjRo1sHjxYty8eROPHj1CXl4eFixYgPj4eGzcuBFffvkl1q5dq3VdMTh5MMaYPohIHpGRkYiMjFT/7efnBz8/PwDA7du38fz5c3z99dfIz8/HgAEDoFKp1C0Fb29vXLlyBU+ePEHz5s0BAI0bN0ZiYiKys7O1risWJw/GGNMHEX0eRZNFcWZmZujduze6du2KBw8eYNGiRepTWABgbm6OlJQUKJVKjXKJRAKlUgm5XK5V3fz8fEilUq1j5uTBGGP6oKP+8po1a8LJyQmCIKBWrVpQKBR49uyZenpOTg4UCgWeP38OpVKpLiciyOVyjbKX1RWTOACddukwxhgrJAiC1q+XOXbsGDZu3AgASEtLw/Pnz2Fubo7k5GQQEWJjY+Hu7o4mTZogJiYGABAfH4+6detCoVDAxMREq7qi14+ISPS7jJjQrbahQ2CVCEXcBQDk5GcbOBJWWZhLFeVX0oJ0grfWdfO/iy1zmkqlQkhICFJTUyEIAoYOHQpBELBhwwYUFBTAy8sLH3zwgXoE1Z07d0BEGDNmDJydnREfH691XTE4ebDXGicPVpyukodsUnOt6+YuvaSTZVYk7vNgjDE9KO90lLHj5MEYY3rAyYMxxphonDwYY4yJVsVzBycPxhjTB255MMYYE00iVO3L6Dh5MMaYHnDLgzHGmGhVPHdw8mCMMX2QVPHswcmDMcb0gE9bMcYYE02io4dBVVacPBhjTA+45cEYY0w0Th6MMcZE4+TBGGNMNE4ejDHGRKviuYMfQ2sM7KxsQBF3S7x2frVGXWdQ53dxOTQSygM3EL8+GuP6fKwxDxvLagiduAT3fj6Px7uuYM/cH1HPqexHT+4KWosfxn390riGdx8AirgLlxr8gC1jlJubi77+/fHVjNnqsseP0/CfL2eiQ9tO6NC2EyZPmIJ79+4bMErjJZFItH4ZI255GAHvBh4AgO7ThyAz+58H3z/OfAIAGOjbG1v/swLB4aH4YuVRdPXpgB/GzUdm9lNsjAgHAGybEQKfhp6YGvo10p6mY97wKTiy5Gc0+8wPWTmaT9H776cz0b9DT6z4dX2ZMdWwdcTSkUE6XlNWkVaHrMGtm7fQzKspACAvNw+ffTISj1NTMWHSF6hZ0wlbN2/D8KEBCN+zAzY2NgaO2LjwRYLM4LzquSM5LQURF06UOn3JiJlYuW8jvlz7oqVw7NIfcK1RB91adMLGiHA42tijxxud8cm3k7EpchcAIP7uTcSvj0aPN97CrugDAIB6TnWxfOw8dPXpgOwc5UtjCvl8AbKfK2EH/kIxRtfirmPr5m2wtf1n/x2POo4bCTewMjQE7Tu0AwC80eYN9OnVF2Hr1mPilAmGCtcoVfHcwaetjIFXfXdcvnWt1GktG3vBpUZthB7YolH+4eLP8dF/xwMAzE3NAKDUVoud1T9fHktHzUZNu+poP6EvUtJTy4znvY7voFOzNpizaemrrRAzKJVKhaBZcxDwyXBUr15dXX476TakUinatG2tLpPJZPBs6olTJ/8wRKhGTRAErV/GiJOHEfCq7w6FmRynvtsD5YEb+HvrOUwdOPrFtHruAAATqRRRweF4fvAm7mw5i9G9h6nf//ej+9h3OgIzh3yOJnUawNHGHsvHzkdGViYOnj2qrjczbAlaje2FmBtXyozF1soGK8bNx4RVc5CakaanNWb6FLZuPfLy8hA44hON8hpOTsjPz8ejlEca5ffu3cN97vcQTRDxzxgZzWmr3NxcRERE4M8//4RSqYRCoYC7uzt69OgBmUxm6PD0RhAEeNRtjKycbEwJnY87KffRq3UXLPpkOsxlZnielwtVvgp754Vh5b4NmLtpKfq174mV4xficeYT7Di+DwDwxcogRPx3K67/dBwAoHyeA/+vhuNe6gP1suJux5cbz3ej5yDmxlVsPbobfdq9rZ+VZnpz6+YtrAv9EaE/rYapzFRjWvuO7WBra4OZ02dhVtBM2NnbYdvmn3EjIREqlcpAERsvY21RaMtoksfKlSvh6uqKDz74AHK5HEqlEjExMfj+++8xdepUQ4enN4IgwP+r4biTch+J95MAAFGxf8BSrsC0gWOw6OcVMJGaIPTgFizatgLAiz6Pek51EPTRROw4vg+17J1wevmvSEl/jPfmfobM7KcY0WsIdgetQ/f/DMX/rl3UKpa3W3VGv/Y90HREV32tLtOjgoICzPlqLvr27wPv5t4lptva2mLp8qWYOX0W+vV+DwDQqXMn9H+/H/bu2VfR4Ro9vrdVJfHkyRNMmKDZYefi4oLZs2eX8Y4XIiMjERkZCQBYvHix3uLTl4KCAhy7VPJ88+/nojROTf1+LkpjesTFaASP/AqmJqb4+O2BsLWshhaje+L+42QAQOTFaPzx/a9Y8ukM+E5+v9w4LOUWWDNhMYI2BuNeajKkEql6iKFUIoUgCCCif7GmTN+2bfkZ9+8/wA8rl2u0JIgIKpUKJiYmaNHSBwcP78e9u/dgKpOhRo3q+GpGEKpVszZg5MaJWx6VhEwmw/Hjx9G8eXMoFAp1y8Pc3Pyl7/Pz84Ofn18FRal7Ne1rwL+NH3af+k2jj0Fu9mK9kx7eBQDITDRPQZhKTSBAQEFBAeo41sLfj+6rE0ehU1fPIaD7QK3iaNnoRcf80lFBWDpKc4hu4sZTWH94Bz7+ZpLo9WMV52jkUaQ8TEHHN301yv/6Kx77ft2PrTs240ZCIrp190PtOv9cu5MQn4Ambk0qOlyjx8mjkhg/fjzCw8Nx8OBB5OTkQC6Xo0mTJhg7dqyhQ9MrM1MZQif+Fxbmcnz3yzp1+Xsde+GvvxOx9/RhKJ/nYICvP05dPaee/k6brjgXH4v8gnzE37uJT3oMgrNDTY0+jjZuPriVfEerOC4kXEarsb00yny92iJ45Gz0/ioAf966/i/XlOnbV3NmISsrS+FwuVgAABm1SURBVKPsP1/OhIurC0aN+Qx2dnaYPfNDWFhawK/bi1OTsZdicS3uGgYOLr91yjRx8qgkrKys8PHHH5dfsYpJSv4bW4/uwfyAqSggwrU7CRjQyR/vdeiFvnMC8TT7GRZu+wFzPpqEzKynOH75DAZ1fhe+Xm3Ra+aL01o//b4dE/p9it8WbsK8zcuQmf0Mw/zeR3vPN9B3TqBWcTxTZuFC/GWNstoONQEAf966jtv/3wJilZdrPdcSZeZmZrCxqQbPpp4AgM5v+SJ4yVIIgoC8vDx8s+hbNGnSGL3f7V2xwVYBVTx3GE/yeJ0FBk/BVx9+gQn9AlHTvjqu3bmB9+Z9hn2nIwAAX2/5HhlZT/F5348xdeAoxN+9hffmfYZD56MAAOnPMtBhYj98O/IrrJ24BIIgIDYxDl2mDsLxy6cNuGasspm3YC6WLP4Gc7+aB4lEQEffTpg45YsSI7NY+Yz1tiPaEug16+UUuvF9mNg/KOJFiyknP7ucmux1YS5V6GQ+Hsvf0bpu3PgDOllmRTKalkdsbGyZ07y9Sw47ZIwxQ+LTVpXEqVOnypzGyYMxVtnousM8IyMD06dPx6xZsyCVShESEgJBEFCnTh0EBgZCIpFg586duHjxIqRSKQICAtCwYUMkJydrXVcMo0keY8aMKbX8yZMnFRwJY4yVT5fJQ6VSITQ0VH03jQ0bNmDw4MHw9PREaGgozp8/DwcHB8TFxWHhwoV4/PgxgoODsWjRIlF1xTCa5FFox44dOHToEFQqFXJzc1GzZk0sXco36GOMVS66TB6bNm1Ct27dsGfPHgDAzZs34eHx4lENPj4+iI2NRa1ateDt7Q1BEODg4ID8/HxkZmaKqmttrf3FoEaXPGJiYrB69Wps2LAB/v7+WLduXflvYoyxCibm9iRF74QBaF7cHBUVBWtrazRv3lydPIB/kpNcLkd2djaUSiWsrKzU0wvLxdSt0snDysoKpqamUCqVcHJywvPnzw0dEmOMlSSi5fGyO2EcO3YMAPDnn38iKSkJK1asQEZGhnq6UqmEhYWF+p5/RcsVCoVGC6i8umIY3UBkOzs7HD16FGZmZti6davGBmCMscpCV8/zmDt3LubOnYs5c+bA1dUV48aNQ/PmzXH16lUAL87GuLu7w83NDbGxsSgoKEBqaiqICNbW1nB1ddW6rhhG1/L47LPP8PjxY7z55puIiooqcbNExhirDPQ5VHfYsGFYs2YNVCoVnJ2d0bZtW0gkEri5uWHWrFkgIgQGBoquK4bRXSR4/PjxEmW+vr6l1CwdXyTIiuKLBFlxurpIsOW6/lrXvfDpLzpZZkUyupbHvXv3ALy4jXRSUhIsLS1FJQ/GGKsIfGPESmbIkCHq/xORUT6jgzFW9fHDoCqZog+xefLkCVJSUgwYDWOMlY5bHpXMF198oX5qnUwmQ58+fQwdEmOMlcDJo5KZOHGixj1Y4uLiDBgNY4yVjpNHJXHt2jXcvXsXBw4cgL+/P4AXz/c+dOgQgoODDRwdY4xp4uRRSVhYWCA9PR15eXlIT08HEUEQBAwdOtTQoTHGWAncYV5J1K1bF3Xr1kXXrl2RmZkJV1dXnD17Fl5eXoYOjTHGSqjqLQ+juz1JWFgY4uPjAQAPHjxASEiIgSNijLGSdHV7ksrK6JJHWloaunfvDgDo06cP0tPTDRwRY4yVJAjav4yR0SUPALh//z4AIDk5GQUFBQaOhjHGSqrqLQ+j6fMoFBAQgGXLliEzMxMymYxvTcIYq5yMNCloy+haHo0aNcLIkSPRrFkz5OTkaNzXnjHGKgupRND6ZYyMpuWhUqlw8uRJHDp0SP0wqJCQEPUzfRljrDIx1tNR2jKalsfYsWNx584djB8/HvPmzYOtrS0nDsZYpSURBK1fxshoWh49e/bEqVOnkJKSgq5du8LIHkPCGHvNVPWWh9Ekj759+6Jv376Ii4vDkSNHkJiYiM2bN6NTp06oW7euocNjjDENRnNa5xUZTfIo5OHhAQ8PD2RlZeHEiRNYsWIFlixZYuiwGGNMg1RStdOH0SWPQhYWFujZsyd69uxp6FAYY6wEY+3L0JbRJg/GGKvMuM+DMcaYaFX7pBUnD8YY0ws+bcUYY0w0Pm3FGGNMNCknD8YYY2LxaSvGGGOicfJgjDEmGvd5MMYYE41bHowxxkSr2qmDkwdjjOmFCd/bijHGmFi66vMoKCjA6tWr8eDBA0gkEowePRoAEBISAkEQUKdOHQQGBkIikWDnzp24ePEipFIpAgIC0LBhQyQnJ2tdVwxOHowxpge66vM4f/48AGD+/Pm4evUqNm7cCCLC4MGD4enpidDQUJw/fx4ODg6Ii4vDwoUL8fjxYwQHB2PRokXYsGGD1nXF4OTBGGN6oKs+j9atW6Nly5YAgEePHqFatWq4ePEiPDw8AAA+Pj6IjY1FrVq14O3tDUEQ4ODggPz8fGRmZuLmzZta17W2ttY6Lk4ejDGmB2JaHpGRkYiMjFT/7efnBz8/P/XfUqkUK1aswLlz5zBp0iRcvHhRfVpMLpcjOzsbSqUSVlZW6vcUlgPQui4nD8YYMzAxD4Pye0szWZRm3LhxSE9Px4wZM5Cbm6suVyqVsLCwgFwuh1Kp1ChXKBQafS/l1RWjag8HYIwxA5GIeL3MiRMnsHv3bgCATCaDIAioX78+rl69CgCIiYmBu7s73NzcEBsbi4KCAqSmpoKIYG1tDVdXV63risEtD8YY0wNdjbZq3bo1Vq5ciaCgIKhUKgQEBMDZ2Rlr1qyBSqWCs7Mz2rZtC4lEAjc3N8yaNQtEhMDAQADAsGHDtK4rav2IiHSyhkZC6Fbb0CGwSoQi7gIAcvKzDRwJqyzMpeJO35RlYvRUresu6/iNTpZZkV67lkfhlwVjRenqC4OxQnx7EsYYY6LxjRGrGD49wYoqbHHwccEK6aoVKhWq9nik1y55MMZYReDTVowxxkQTqvh9dTl5MMaYHnCfB2OMMdH4tBVjjDHRhCp+Aw9OHowxpgdi7m1ljDh5MMaYHnCHOWOMMdG4z4MxxphoPNqKMcaYaBLuMGeMMSaWhDvMGWOMiSXhDnPGGGNicZ8HY4wx0Xi0FWOMMdH4Og/GGGOiSfh5HowxxsTi5MEYY0w07vNgjDEmGvd5MMYYE41bHowxxkQTuM+DMcaYWHzaijHGmGj8MCjGGGOi8b2tGGOMicb3tmKMMSYad5gzxhgTjU9bMcYYE41vT8IYY0w0XfV5qFQqrFq1Co8ePUJeXh7ee+891K5dGyEhIRAEAXXq1EFgYCAkEgl27tyJixcvQiqVIiAgAA0bNkRycrLWdcXg5MEYY3qgq9NW0dHRsLKywueff46nT5/iyy+/hKurKwYPHgxPT0+Ehobi/PnzcHBwQFxcHBYuXIjHjx8jODgYixYtwoYNG7SuKwYnD8YY0wMxHeaRkZGIjIxU/+3n5wc/Pz8AwJtvvom2bduqp0mlUty8eRMeHh4AAB8fH8TGxqJWrVrw9vaGIAhwcHBAfn4+MjMzRdW1trbWOmZOHowxpgdirjAvmiyKMzc3BwAolUosXboUgwcPxqZNm9SnxeRyObKzs6FUKmFlZaV+X2E5AK3rikkeVbtHhzHGDEQQBK1f5UlNTcXcuXPRsWNHdOjQQeM9SqUSFhYWkMvlUCqVGuUKhUJUXTE4eTDGmB5IBInWr5dJT0/HggULMHToUHTp0gUA4OrqiqtXrwIAYmJi4O7uDjc3N8TGxqKgoACpqakgIlhbW4uqKwaftmKMMT3QVYf57t278ezZM+zatQu7du0CAAQEBCAsLAwqlQrOzs5o27YtJBIJ3NzcMGvWLBARAgMDAQDDhg3DmjVrtKorhkBEpJM1NBI5+dmGDoFVIubSF011Pi5YocJj4t/ak7Rd67p9XQfpZJkViVsejDGmB0IV7xXg5MEYY3rAN0ZkjDEmmpRvT8IYY0wsfpIgY4wx0fi0FWOMMdG4w5wxxpho3PJgjDEmGj8MijHGmGj8MCjGGGOiVfXTVlU7NTIAQNTRKLzZqr1G2dUrV+Ht4VPiFbxkqYGiZBUhPz8fYT+uh//b76Jty3YYOugj/O/MWfX0p0+fYsG8hejaqRvebNUeX4ydgL/v/G3AiI2XAInWL2PELY8q7lLMJcyY9uLmZ0XF/5UAuVyO0J9Wa5Q7OjpWZHisgq3/aQNClq/EmHGj0bSZJ/bs/hVjPhuLzT9vgruHG/4zdQauX7uOCVO+gE21aghdvRaBASPwy95wWFpaGjp8oyKp4i0PTh5VVG5uLrZs2oqQ5Sshl8tRUFCgMT0hPgENGzWEl7eXgSJkhrDv1/3o+U4PfDryxV1U32jzBmIuXMLuX/ZAJhuA6BMnEfz9t/Dr1hUA0KBhA/Ts9g6ijh6H/7vvGDJ0o8MXCTKjdPLEKfy49idMnDIBGekZ2Lh+k8b0+PgENG7SyEDRMUPJzc2FRZEWhFQqhaWVJTIzMlC7Tm1s2rYRTdwaq6ebykxfvC8vt8JjNXbc58GMkmczTxw8fABDPxpS6kF8Iz4ByQ+SMbDfILT0egP+b7+LvXv2GiBSVpEGfTAQB/YewP9O/w9Pnz7Flk1bkXgjET16vg0zMzN4eTeDmZkZVCoVEm8kImjmHNjb26NL17cMHbrR0dXDoCorbnlUUTVqVC9zWkpKCp48Sced239j/MTPYW1thd8O/o6vZgRBEAT07tO7AiNlFWng4AE4979z+CxwlLps3Pix6Nyls0a9ubPnY++evZBIJJj7dRBsbGwqNtAqQFLFf5sbTfLYunVrmdOGDBlS5rTIyEhERkYCABYvXqzzuIyRlZUVVoaGoHGTRuoO8rbt2uJRyiOsXhnKyaOKIiKMHjEWNxNvYubs/6Be/fr43+n/YfXKNbCytsLgIf88kGjg4AHo3ccfx44cw1czgqDKz0f/9/oZMHrjU9VPWxlN8qhWrRoOHz6M/v37lxg59DJ+fn7w8/PTY2TGRy6Xo32HdiXK23dsj1Mn/0B2VjYUFrp5mhqrPGIuXkLMxRh8s3QJuvfoBgB4o3UrqPJVWBb8Hd7t01u935t5NQUAtG7zBh4+fIgfQ3/i5CESd5hXEu+88w5u3rwJW1tbeHnxCKF/IynpNs6eOYu+/ftAJpOpy3NycmBubg65Qm7A6Ji+PExOBgB4eTfTKPdp4YOwdetx9+5dXL0Sh779+2j8anZzd0P08ZMVGmtVUNVbHkZ1Um7kyJFo0KCBocMweikPU7Bg3kJEn/jnC4GIcCTyKHxa+lT5g/515eLqAgCIibmkUf7n5T9hYmKCxMSbmPPVXJw7e149jYhw5o8zaNS4YYXGWhVIRPwzRkbT8gAAmUym8UuZvZqWrVrAp4UPvp67AJkZmXB0dED4jl1I+CsB6zf/ZOjwmJ54eHqgo29HLJy3CJkZmahXvx7Onz2PsHXrMeTDD9Ctux+2em/F7BmzMe6LcbC1tcHuXXtwKSYWIWtWGDp841PFf4QJJKYDoQrIyc82dAgVbtWK1dgQthFnLvyhLstIz8Dy737AiePRyEjPgLuHG76YOB4tWrUwYKQVz1z64hz/63Jc5OTkYMX3Ifj9t0PIzMhEXZe6GDh4AAYMeh+CICA9PR3Ll704LjIzMuHu6Y6xn49B6zZvGDr0ClN4TPxbF1JPa123pcObOllmReLkwV5rr1vyYOXTVfK4+PiM1nVb2LfVyTIrktGctoqNjS1zmre3dwVGwhhj5ePRVpXEqVOnypzGyYMxVtlw8qgkxowZU2r5kydPKjgSxhgrn7HedkRbRpM8Cu3YsQOHDh2CSqVCbm4uatasiaVL+RkUjLHKpaq3PIwuNcbExGD16tXo2LEjli1bBjs7O0OHxBhjJQiCoPXLGBldy8PKygqmpqZQKpVwcnLC8+fPDR0SY4yVUNVbHkaXPOzs7HD06FGYmZlh69atUCqVhg6JMcZKMNYWhbaM7jqPgoICPH78GJaWloiKikKzZs1Qu3Ztrd/P4/lZUXydBytOV9d5XEsv+/KC4txtyh8xmpCQgC1btmDOnDlITk5GSEgIBEFAnTp1EBgYCIlEgp07d+LixYuQSqUICAhAw4YNRdUVw+haHtHR0er/KxQKJCYmikoejDFWEXQ52urXX3/FiRMnYG5uDgDYsGEDBg8eDE9PT4SGhuL8+fNwcHBAXFwcFi5ciMePHyM4OBiLFi0SVVfU+uls7SrIvXv3cO/ePdy9excnT57EpUuXyn8TY4xVMEHEv/LUqFEDU6ZMUf998+ZNeHh4AAB8fHxw+fJlXL9+Hd7e3hAEAQ4ODsjPz0dmZqaoumIYXcuj6IOfiIgf8MQYq5TEdJgXfWgdUPI5RG3btkVKSorm/P+/T0UulyM7OxtKpRJWVlbq6YXlYupaW1trHbPRJQ+VSqX+/5MnT0psUMYYqwzEdJiLfWhd0XkrlUpYWFhALpdrDCBSKpVQKBSi6ophdMnjiy++gCAIICLIZDL06dPH0CExxlgp9DfaytXVFVevXoWnpydiYmLQtGlTODk5YfPmzejduzfS0tJARLC2thZVVwyjSx4TJ07UGBUQFxdnwGgYY6x0+rw9ybBhw7BmzRqoVCo4Ozujbdu2kEgkcHNzw6xZs0BECAwMFF1XDKMZqnvt2jXcvXsXBw4cgL+/P4AXw3YPHTqE4OBgrefDQzJZUTxUlxWnq6G6t57Ga123nlVjnSyzIhlNy8PCwgLp6enIy8tDeno6iAiCIGDo0KGGDo0xxkrgiwQrmbS0NGRmZsLV1RVnz55FixYtYGKifQ7kX5isKG55sOJ01fK4/eyG1nVdLI3vGfFGd51HWFgY4uNfNAcfPHiAkJAQA0fEGGMl6fI6j8rI6JJHWloaunfvDgDo06cP0tPTDRwRY4yVVNXvqmt0yQMA7t+/DwBITk5GQUGBgaNhjLGSJIJE65cxMpoO80IBAQFYtmwZMjMzIZPJ4Ovra+iQGGOsBGM9HaUto0t5jRo1wsiRI9GsWTPk5OQgIyPD0CExxlgpBBEv42M0LQ+VSoWTJ0/i0KFD6odBhYSEQCaTGTo0xhgrwThTgvaMpuUxduxY3LlzB+PHj8e8efNga2vLiYMxVmlV9Q5zo2l59OzZE6dOnUJKSgq6du0KI7s8hTH22jHOpKAto7tIMC4uDkeOHEFMTAy6dOmCTp06oW7dulq/ny8GY0XxRYKsOF1dJPhQeU/rujXkzjpZZkUyuuRRKCsrCydOnMCxY8ewZMkSrd/HXxKsKE4erDhdJY+UnPta161uXksny6xIRps8XhV/SbCiOHmw4jh5aMdo+jwYY8yYVPXrPDh5MMaYHnDyYIwxJpqxDsHVltFc58EYY6zy4JYHY4zpAZ+2Yowx9go4eTDGGBOpaqcOTh6MMaYXVb3DnJMHY4zpAfd5MMYYewWcPBhjjIlU1U9b8XUejDHGROOWB2OM6QH3eTDGGHsFnDwYY4yJJKnifR6cPBhjTC84eTDGGBOpaqcOTh6MMaYnVTt9cPJgjDE9qOrXebx2yUNXzydmVQsfF0zXqvpQXb5I8DUVGRlp6BBYJcPHhG6ZSxVav4wRJ4/XFH9RsOL4mGBicPJgjDEmGicPxhhjonHyeE35+fkZOgRWyfAxwcQQiIgMHQRjjDHjwi0PxhhjonHyYIwxJtprd5Ggsbp69SqWLVuG2rVrQxAE5ObmokOHDujZs6foeW3ZsgXOzs5wdXXF+fPn8f7775da7+zZs2jYsCHs7OzUZQUFBVi3bh1u374NU1NTjBo1Ck5OTq+8XuzfqSzHRaGEhARs2bIFc+bMEb18Zlw4eRiRpk2bYsKECQCAvLw8TJgwAZ06dYKFhcUrzc/V1RWurq5lTj948CBGjBihUXbu3Dnk5eVhwYIFiI+Px8aNG/Hll1++0vKZblSG4wIAfv31V5w4cQLm5uavtFxmXDh5GCmlUgmJRAKpVIo5c+bA2toaWVlZmD59OtatW4fk5GQUFBRg8ODB8PT0xJkzZ/DLL7/A2toaKpUKzs7OuHr1KiIiIjBhwgQcPXoUhw8fRkFBAVq1aoWGDRsiKSkJK1aswPz582Fi8uJQuX79Opo3bw4AaNy4MRITEw25GVgxhjouAKBGjRqYMmUKVqxYYcAtwCoKJw8jcuXKFcyZMweCIMDExAQff/yx+ldehw4d0Lp1axw+fBhWVlYYPXo0nj59iqCgICxduhRbtmzBwoULYWlpicWLF2vMNyMjA3v27MG3334LExMTbNy4ER4eHnB1dcWIESM0viCUSiUUin9upyCRSJCfnw+pVFoxG4GVUBmOCwBo27YtUlJSKmy9mWFx8jAiRU9PFFerVi0AwJ07d3Dt2jXcuHEDAJCfn4/09HTI5XJYWVkBeNFiKOrhw4eoU6cOZDIZACAgIKDMGORyOZRKpfpvIuLEYWCV4bhgrx9OHlVE4e2fa9WqBTs7O/Tv3x+5ubn45ZdfYGlpiezsbGRmZsLa2hqJiYmwt7dXv9fJyQn3799HXl4eTE1NERwcjI8//hiCIKD4ZUBNmjTBhQsX0K5dO8THx6Nu3boVup5MnIo6Ltjrh5NHFdOtWzesWbMGQUFBUCqV6N69O0xMTDBmzBgsWLAAlpaWJVoK1tbW6NOnj3qETMuWLWFnZ4cmTZpgxYoVmDVrFiwtLQEArVu3xuXLlzFr1iwQEcaMGVPRq8hegb6PC/b64SvMGWOMicYXCTLGGBONkwdjjDHROHkwxhgTjZMHY4wx0Th5MMYYE42TB2OMMdE4eTDGGBONkwdjjDHR/g/o5Us2avi+aQAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8335,6 +8912,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9899468360581662\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8343,13 +8921,34 @@
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55668  1195]\n",
-      " [   10    88]]\n"
+      "[0]\tvalidation_0-error:0.035867\tvalidation_1-error:0.029195\n",
+      "[5]\tvalidation_0-error:0.029987\tvalidation_1-error:0.017064\n",
+      "[10]\tvalidation_0-error:0.021376\tvalidation_1-error:0.00776\n",
+      "[15]\tvalidation_0-error:0.015318\tvalidation_1-error:0.005706\n",
+      "[20]\tvalidation_0-error:0.010266\tvalidation_1-error:0.005618\n",
+      "[25]\tvalidation_0-error:0.002379\tvalidation_1-error:0.005021\n",
+      "[30]\tvalidation_0-error:0.002088\tvalidation_1-error:0.004547\n",
+      "[35]\tvalidation_0-error:0.002016\tvalidation_1-error:0.004301\n",
+      "[40]\tvalidation_0-error:0.001787\tvalidation_1-error:0.003792\n",
+      "[45]\tvalidation_0-error:0.001611\tvalidation_1-error:0.003318\n",
+      "[50]\tvalidation_0-error:0.001484\tvalidation_1-error:0.003055\n",
+      "[55]\tvalidation_0-error:0.001337\tvalidation_1-error:0.002809\n",
+      "[60]\tvalidation_0-error:0.001174\tvalidation_1-error:0.00251\n",
+      "[65]\tvalidation_0-error:0.001035\tvalidation_1-error:0.002265\n",
+      "[70]\tvalidation_0-error:0.000835\tvalidation_1-error:0.001843\n",
+      "[75]\tvalidation_0-error:0.000688\tvalidation_1-error:0.001562\n",
+      "[80]\tvalidation_0-error:0.000558\tvalidation_1-error:0.001352\n",
+      "[85]\tvalidation_0-error:0.000503\tvalidation_1-error:0.001106\n",
+      "[90]\tvalidation_0-error:0.00042\tvalidation_1-error:0.000966\n",
+      "[95]\tvalidation_0-error:0.000345\tvalidation_1-error:0.000913\n",
+      "[99]\tvalidation_0-error:0.000286\tvalidation_1-error:0.000895\n",
+      "[[56824    39]\n",
+      " [   12    86]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8361,6 +8960,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9815648926330993\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8369,13 +8969,34 @@
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55881   982]\n",
-      " [   11    87]]\n"
+      "[0]\tvalidation_0-error:0.032972\tvalidation_1-error:0.016783\n",
+      "[5]\tvalidation_0-error:0.021134\tvalidation_1-error:0.009006\n",
+      "[10]\tvalidation_0-error:0.013966\tvalidation_1-error:0.01034\n",
+      "[15]\tvalidation_0-error:0.013284\tvalidation_1-error:0.008936\n",
+      "[20]\tvalidation_0-error:0.00843\tvalidation_1-error:0.006619\n",
+      "[25]\tvalidation_0-error:0.006766\tvalidation_1-error:0.005829\n",
+      "[30]\tvalidation_0-error:0.005144\tvalidation_1-error:0.00539\n",
+      "[35]\tvalidation_0-error:0.003555\tvalidation_1-error:0.004828\n",
+      "[40]\tvalidation_0-error:0.003282\tvalidation_1-error:0.004249\n",
+      "[45]\tvalidation_0-error:0.001838\tvalidation_1-error:0.00395\n",
+      "[50]\tvalidation_0-error:0.00155\tvalidation_1-error:0.003511\n",
+      "[55]\tvalidation_0-error:0.001306\tvalidation_1-error:0.00302\n",
+      "[60]\tvalidation_0-error:0.001027\tvalidation_1-error:0.002563\n",
+      "[65]\tvalidation_0-error:0.00089\tvalidation_1-error:0.002265\n",
+      "[70]\tvalidation_0-error:0.000758\tvalidation_1-error:0.001949\n",
+      "[75]\tvalidation_0-error:0.000655\tvalidation_1-error:0.001791\n",
+      "[80]\tvalidation_0-error:0.000605\tvalidation_1-error:0.001475\n",
+      "[85]\tvalidation_0-error:0.000517\tvalidation_1-error:0.001317\n",
+      "[90]\tvalidation_0-error:0.000475\tvalidation_1-error:0.001282\n",
+      "[95]\tvalidation_0-error:0.000431\tvalidation_1-error:0.001124\n",
+      "[99]\tvalidation_0-error:0.000402\tvalidation_1-error:0.001036\n",
+      "[[56823    40]\n",
+      " [   19    79]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8387,6 +9008,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.963088421975195\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8395,13 +9017,34 @@
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
       "Oversampling is complete!\n",
-      "[[55803  1060]\n",
-      " [    9    89]]\n"
+      "[0]\tvalidation_0-error:0.036091\tvalidation_1-error:0.010095\n",
+      "[5]\tvalidation_0-error:0.02541\tvalidation_1-error:0.006303\n",
+      "[10]\tvalidation_0-error:0.019367\tvalidation_1-error:0.006864\n",
+      "[15]\tvalidation_0-error:0.015997\tvalidation_1-error:0.00546\n",
+      "[20]\tvalidation_0-error:0.012036\tvalidation_1-error:0.004881\n",
+      "[25]\tvalidation_0-error:0.010523\tvalidation_1-error:0.004512\n",
+      "[30]\tvalidation_0-error:0.00652\tvalidation_1-error:0.004161\n",
+      "[35]\tvalidation_0-error:0.005087\tvalidation_1-error:0.003704\n",
+      "[40]\tvalidation_0-error:0.003803\tvalidation_1-error:0.003564\n",
+      "[45]\tvalidation_0-error:0.002381\tvalidation_1-error:0.003283\n",
+      "[50]\tvalidation_0-error:0.000976\tvalidation_1-error:0.002651\n",
+      "[55]\tvalidation_0-error:0.000811\tvalidation_1-error:0.002335\n",
+      "[60]\tvalidation_0-error:0.000719\tvalidation_1-error:0.002036\n",
+      "[65]\tvalidation_0-error:0.000635\tvalidation_1-error:0.001984\n",
+      "[70]\tvalidation_0-error:0.00058\tvalidation_1-error:0.001826\n",
+      "[75]\tvalidation_0-error:0.000517\tvalidation_1-error:0.001808\n",
+      "[80]\tvalidation_0-error:0.000429\tvalidation_1-error:0.001633\n",
+      "[85]\tvalidation_0-error:0.000385\tvalidation_1-error:0.001545\n",
+      "[90]\tvalidation_0-error:0.000343\tvalidation_1-error:0.001352\n",
+      "[95]\tvalidation_0-error:0.00031\tvalidation_1-error:0.001229\n",
+      "[99]\tvalidation_0-error:0.00029\tvalidation_1-error:0.001124\n",
+      "[[56816    47]\n",
+      " [   17    81]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8413,6 +9056,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9864565279886817\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8421,13 +9065,34 @@
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
       "Oversampling is complete!\n",
-      "[[55727  1136]\n",
-      " [   13    87]]\n"
+      "[0]\tvalidation_0-error:0.030941\tvalidation_1-error:0.018275\n",
+      "[5]\tvalidation_0-error:0.025284\tvalidation_1-error:0.011727\n",
+      "[10]\tvalidation_0-error:0.021712\tvalidation_1-error:0.009304\n",
+      "[15]\tvalidation_0-error:0.015616\tvalidation_1-error:0.00718\n",
+      "[20]\tvalidation_0-error:0.010048\tvalidation_1-error:0.006039\n",
+      "[25]\tvalidation_0-error:0.005966\tvalidation_1-error:0.005196\n",
+      "[30]\tvalidation_0-error:0.0045\tvalidation_1-error:0.004705\n",
+      "[35]\tvalidation_0-error:0.003229\tvalidation_1-error:0.004477\n",
+      "[40]\tvalidation_0-error:0.003056\tvalidation_1-error:0.00402\n",
+      "[45]\tvalidation_0-error:0.001618\tvalidation_1-error:0.003458\n",
+      "[50]\tvalidation_0-error:0.001468\tvalidation_1-error:0.003213\n",
+      "[55]\tvalidation_0-error:0.001224\tvalidation_1-error:0.002932\n",
+      "[60]\tvalidation_0-error:0.001029\tvalidation_1-error:0.002563\n",
+      "[65]\tvalidation_0-error:0.000879\tvalidation_1-error:0.002335\n",
+      "[70]\tvalidation_0-error:0.000721\tvalidation_1-error:0.002089\n",
+      "[75]\tvalidation_0-error:0.000635\tvalidation_1-error:0.001949\n",
+      "[80]\tvalidation_0-error:0.000534\tvalidation_1-error:0.001756\n",
+      "[85]\tvalidation_0-error:0.000448\tvalidation_1-error:0.001598\n",
+      "[90]\tvalidation_0-error:0.000393\tvalidation_1-error:0.00144\n",
+      "[95]\tvalidation_0-error:0.000339\tvalidation_1-error:0.001317\n",
+      "[99]\tvalidation_0-error:0.00033\tvalidation_1-error:0.001282\n",
+      "[[56805    58]\n",
+      " [   15    85]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8439,18 +9104,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.977132669750101\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9808256187285208, 'sensitivity': 0.9005306122448979, 'specificity': 0.9809647749854916, 'precision': 0.07598257360273035, 'f1': 0.1401042421022062, 'auc': 0.9407476936151946, 'actual_accuracy': 0.9117886178861788}\n"
+      "{'accuracy': 0.9989080337882665, 'sensitivity': 0.8414285714285714, 'specificity': 0.9991804864323022, 'precision': 0.6415743038823921, 'f1': 0.7275105629203815, 'auc': 0.9796378696810486, 'pr_auc': 0.8221660597235377, 'actual_accuracy': 0.9682926829268291}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -8459,27 +9125,28 @@
    ],
    "source": [
     "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'SVM_Linear0.5', 'Linear SVM with C=0.5', 5)"
+    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'XGBoostminus1', 'XGBoost with one less depth', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9808256187285208,\n",
-       " 'sensitivity': 0.9005306122448979,\n",
-       " 'specificity': 0.9809647749854916,\n",
-       " 'precision': 0.07598257360273035,\n",
-       " 'f1': 0.1401042421022062,\n",
-       " 'auc': 0.9407476936151946,\n",
-       " 'actual_accuracy': 0.9117886178861788}"
+       "{'accuracy': 0.9989080337882665,\n",
+       " 'sensitivity': 0.8414285714285714,\n",
+       " 'specificity': 0.9991804864323022,\n",
+       " 'precision': 0.6415743038823921,\n",
+       " 'f1': 0.7275105629203815,\n",
+       " 'auc': 0.9796378696810486,\n",
+       " 'pr_auc': 0.8221660597235377,\n",
+       " 'actual_accuracy': 0.9682926829268291}"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8490,8 +9157,86 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
+   "execution_count": 8,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'accuracy': [0.9988764242200804,\n",
+       "  0.9991046505503766,\n",
+       "  0.9989642035778866,\n",
+       "  0.9988764242200804,\n",
+       "  0.9987184663729087],\n",
+       " 'actual_accuracy': [0.9695121951219512,\n",
+       "  0.975609756097561,\n",
+       "  0.9613821138211383,\n",
+       "  0.9654471544715447,\n",
+       "  0.9695121951219512],\n",
+       " 'sensitivity': [0.8469387755102041,\n",
+       "  0.8775510204081632,\n",
+       "  0.8061224489795918,\n",
+       "  0.826530612244898,\n",
+       "  0.85],\n",
+       " 'specificity': [0.999138279724953,\n",
+       "  0.9993141410055748,\n",
+       "  0.9992965548775126,\n",
+       "  0.9991734519810773,\n",
+       "  0.9989800045723933],\n",
+       " 'precision': [0.6287878787878788,\n",
+       "  0.688,\n",
+       "  0.6638655462184874,\n",
+       "  0.6328125,\n",
+       "  0.5944055944055944],\n",
+       " 'f1': [0.7217391304347825,\n",
+       "  0.7713004484304932,\n",
+       "  0.7281105990783411,\n",
+       "  0.7168141592920354,\n",
+       "  0.6995884773662552],\n",
+       " 'auc': [0.9899468360581662,\n",
+       "  0.9815648926330993,\n",
+       "  0.963088421975195,\n",
+       "  0.9864565279886817,\n",
+       "  0.977132669750101],\n",
+       " 'pr_auc': [0.7982129951028172,\n",
+       "  0.8386917890172908,\n",
+       "  0.8113348333814036,\n",
+       "  0.8249526597710303,\n",
+       "  0.8376380213451468],\n",
+       " 'final': {'accuracy': 0.9989080337882665,\n",
+       "  'sensitivity': 0.8414285714285714,\n",
+       "  'specificity': 0.9991804864323022,\n",
+       "  'precision': 0.6415743038823921,\n",
+       "  'f1': 0.7275105629203815,\n",
+       "  'auc': 0.9796378696810486,\n",
+       "  'pr_auc': 0.8221660597235377,\n",
+       "  'actual_accuracy': 0.9682926829268291},\n",
+       " 'model': XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
+       "               colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
+       "               learning_rate=0.1, max_delta_step=0, max_depth=5,\n",
+       "               min_child_weight=1, missing=None, n_estimators=100, n_jobs=1,\n",
+       "               nthread=1, objective='binary:logistic', random_state=42,\n",
+       "               reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=42,\n",
+       "               silent=None, subsample=1, verbosity=1)}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -8501,16 +9246,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55811  1052]\n",
-      " [    7    91]]\n"
+      "[0]\tvalidation_0-error:0.018894\tvalidation_1-error:0.011341\n",
+      "[5]\tvalidation_0-error:0.009791\tvalidation_1-error:0.005425\n",
+      "[10]\tvalidation_0-error:0.00366\tvalidation_1-error:0.002686\n",
+      "[15]\tvalidation_0-error:0.001143\tvalidation_1-error:0.002563\n",
+      "[20]\tvalidation_0-error:0.000703\tvalidation_1-error:0.001949\n",
+      "[25]\tvalidation_0-error:0.000435\tvalidation_1-error:0.00144\n",
+      "[30]\tvalidation_0-error:0.000389\tvalidation_1-error:0.001352\n",
+      "[35]\tvalidation_0-error:0.000306\tvalidation_1-error:0.001229\n",
+      "[40]\tvalidation_0-error:0.00024\tvalidation_1-error:0.001141\n",
+      "[45]\tvalidation_0-error:0.000204\tvalidation_1-error:0.000983\n",
+      "[50]\tvalidation_0-error:0.000152\tvalidation_1-error:0.000878\n",
+      "[55]\tvalidation_0-error:0.000112\tvalidation_1-error:0.000755\n",
+      "[60]\tvalidation_0-error:9e-05\tvalidation_1-error:0.000667\n",
+      "[65]\tvalidation_0-error:7.9e-05\tvalidation_1-error:0.000597\n",
+      "[70]\tvalidation_0-error:7.5e-05\tvalidation_1-error:0.000597\n",
+      "[75]\tvalidation_0-error:6.4e-05\tvalidation_1-error:0.000562\n",
+      "[80]\tvalidation_0-error:5.5e-05\tvalidation_1-error:0.000562\n",
+      "[85]\tvalidation_0-error:4.6e-05\tvalidation_1-error:0.000579\n",
+      "[90]\tvalidation_0-error:3.7e-05\tvalidation_1-error:0.000544\n",
+      "[95]\tvalidation_0-error:3.3e-05\tvalidation_1-error:0.000527\n",
+      "[99]\tvalidation_0-error:3.1e-05\tvalidation_1-error:0.000527\n",
+      "[[56851    12]\n",
+      " [   18    80]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8522,6 +9286,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9810724810473579\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8529,16 +9294,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55506  1357]\n",
-      " [   10    88]]\n"
+      "[0]\tvalidation_0-error:0.020259\tvalidation_1-error:0.017837\n",
+      "[5]\tvalidation_0-error:0.0088\tvalidation_1-error:0.00481\n",
+      "[10]\tvalidation_0-error:0.004434\tvalidation_1-error:0.003599\n",
+      "[15]\tvalidation_0-error:0.00118\tvalidation_1-error:0.002493\n",
+      "[20]\tvalidation_0-error:0.000769\tvalidation_1-error:0.00158\n",
+      "[25]\tvalidation_0-error:0.000618\tvalidation_1-error:0.001229\n",
+      "[30]\tvalidation_0-error:0.000528\tvalidation_1-error:0.001124\n",
+      "[35]\tvalidation_0-error:0.000466\tvalidation_1-error:0.001018\n",
+      "[40]\tvalidation_0-error:0.00042\tvalidation_1-error:0.000966\n",
+      "[45]\tvalidation_0-error:0.000345\tvalidation_1-error:0.000825\n",
+      "[50]\tvalidation_0-error:0.000317\tvalidation_1-error:0.000825\n",
+      "[55]\tvalidation_0-error:0.000257\tvalidation_1-error:0.000755\n",
+      "[60]\tvalidation_0-error:0.000207\tvalidation_1-error:0.000737\n",
+      "[65]\tvalidation_0-error:0.000169\tvalidation_1-error:0.000667\n",
+      "[70]\tvalidation_0-error:0.000147\tvalidation_1-error:0.000614\n",
+      "[75]\tvalidation_0-error:0.000114\tvalidation_1-error:0.000544\n",
+      "[80]\tvalidation_0-error:9.2e-05\tvalidation_1-error:0.000492\n",
+      "[85]\tvalidation_0-error:7.7e-05\tvalidation_1-error:0.000492\n",
+      "[90]\tvalidation_0-error:6.8e-05\tvalidation_1-error:0.000474\n",
+      "[95]\tvalidation_0-error:4.8e-05\tvalidation_1-error:0.000439\n",
+      "[99]\tvalidation_0-error:4.4e-05\tvalidation_1-error:0.000421\n",
+      "[[56852    11]\n",
+      " [   13    85]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8550,6 +9334,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9801376347806239\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8557,16 +9342,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55824  1039]\n",
-      " [   11    87]]\n"
+      "[0]\tvalidation_0-error:0.014462\tvalidation_1-error:0.013816\n",
+      "[5]\tvalidation_0-error:0.006931\tvalidation_1-error:0.006654\n",
+      "[10]\tvalidation_0-error:0.002807\tvalidation_1-error:0.003459\n",
+      "[15]\tvalidation_0-error:0.001027\tvalidation_1-error:0.002616\n",
+      "[20]\tvalidation_0-error:0.000976\tvalidation_1-error:0.002352\n",
+      "[25]\tvalidation_0-error:0.000807\tvalidation_1-error:0.001984\n",
+      "[30]\tvalidation_0-error:0.000681\tvalidation_1-error:0.001773\n",
+      "[35]\tvalidation_0-error:0.000508\tvalidation_1-error:0.00144\n",
+      "[40]\tvalidation_0-error:0.000442\tvalidation_1-error:0.001299\n",
+      "[45]\tvalidation_0-error:0.00038\tvalidation_1-error:0.001194\n",
+      "[50]\tvalidation_0-error:0.000341\tvalidation_1-error:0.001159\n",
+      "[55]\tvalidation_0-error:0.000275\tvalidation_1-error:0.001088\n",
+      "[60]\tvalidation_0-error:0.000198\tvalidation_1-error:0.000966\n",
+      "[65]\tvalidation_0-error:0.00016\tvalidation_1-error:0.000825\n",
+      "[70]\tvalidation_0-error:0.000121\tvalidation_1-error:0.000755\n",
+      "[75]\tvalidation_0-error:0.000103\tvalidation_1-error:0.000702\n",
+      "[80]\tvalidation_0-error:8.6e-05\tvalidation_1-error:0.00065\n",
+      "[85]\tvalidation_0-error:6.4e-05\tvalidation_1-error:0.000614\n",
+      "[90]\tvalidation_0-error:5.3e-05\tvalidation_1-error:0.000579\n",
+      "[95]\tvalidation_0-error:4.6e-05\tvalidation_1-error:0.000527\n",
+      "[99]\tvalidation_0-error:3.1e-05\tvalidation_1-error:0.000509\n",
+      "[[56853    10]\n",
+      " [   19    79]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8578,6 +9382,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9608046479059766\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8585,16 +9390,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55746  1117]\n",
-      " [    9    89]]\n"
+      "[0]\tvalidation_0-error:0.026781\tvalidation_1-error:0.010411\n",
+      "[5]\tvalidation_0-error:0.011053\tvalidation_1-error:0.002967\n",
+      "[10]\tvalidation_0-error:0.002044\tvalidation_1-error:0.002616\n",
+      "[15]\tvalidation_0-error:0.000952\tvalidation_1-error:0.002879\n",
+      "[20]\tvalidation_0-error:0.000701\tvalidation_1-error:0.002317\n",
+      "[25]\tvalidation_0-error:0.000554\tvalidation_1-error:0.002054\n",
+      "[30]\tvalidation_0-error:0.00047\tvalidation_1-error:0.001633\n",
+      "[35]\tvalidation_0-error:0.000457\tvalidation_1-error:0.001527\n",
+      "[40]\tvalidation_0-error:0.000382\tvalidation_1-error:0.001404\n",
+      "[45]\tvalidation_0-error:0.000314\tvalidation_1-error:0.001229\n",
+      "[50]\tvalidation_0-error:0.00027\tvalidation_1-error:0.001106\n",
+      "[55]\tvalidation_0-error:0.000222\tvalidation_1-error:0.001018\n",
+      "[60]\tvalidation_0-error:0.000209\tvalidation_1-error:0.00093\n",
+      "[65]\tvalidation_0-error:0.000132\tvalidation_1-error:0.000843\n",
+      "[70]\tvalidation_0-error:0.000114\tvalidation_1-error:0.000737\n",
+      "[75]\tvalidation_0-error:0.000101\tvalidation_1-error:0.000685\n",
+      "[80]\tvalidation_0-error:8.1e-05\tvalidation_1-error:0.000667\n",
+      "[85]\tvalidation_0-error:6.8e-05\tvalidation_1-error:0.000614\n",
+      "[90]\tvalidation_0-error:5.7e-05\tvalidation_1-error:0.000562\n",
+      "[95]\tvalidation_0-error:4.2e-05\tvalidation_1-error:0.000527\n",
+      "[99]\tvalidation_0-error:3.5e-05\tvalidation_1-error:0.000492\n",
+      "[[56854     9]\n",
+      " [   19    79]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8606,6 +9430,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9835591236652936\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8613,16 +9438,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 392\n",
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55643  1220]\n",
-      " [   13    87]]\n"
+      "[0]\tvalidation_0-error:0.017481\tvalidation_1-error:0.02865\n",
+      "[5]\tvalidation_0-error:0.005634\tvalidation_1-error:0.004652\n",
+      "[10]\tvalidation_0-error:0.002302\tvalidation_1-error:0.00302\n",
+      "[15]\tvalidation_0-error:0.002146\tvalidation_1-error:0.002493\n",
+      "[20]\tvalidation_0-error:0.000673\tvalidation_1-error:0.0023\n",
+      "[25]\tvalidation_0-error:0.000541\tvalidation_1-error:0.00172\n",
+      "[30]\tvalidation_0-error:0.000404\tvalidation_1-error:0.001492\n",
+      "[35]\tvalidation_0-error:0.000325\tvalidation_1-error:0.001246\n",
+      "[40]\tvalidation_0-error:0.00024\tvalidation_1-error:0.001106\n",
+      "[45]\tvalidation_0-error:0.000189\tvalidation_1-error:0.000983\n",
+      "[50]\tvalidation_0-error:0.000176\tvalidation_1-error:0.000966\n",
+      "[55]\tvalidation_0-error:0.000158\tvalidation_1-error:0.000913\n",
+      "[60]\tvalidation_0-error:0.000141\tvalidation_1-error:0.000913\n",
+      "[65]\tvalidation_0-error:0.000125\tvalidation_1-error:0.000843\n",
+      "[70]\tvalidation_0-error:0.000108\tvalidation_1-error:0.000755\n",
+      "[75]\tvalidation_0-error:0.000106\tvalidation_1-error:0.00072\n",
+      "[80]\tvalidation_0-error:7.9e-05\tvalidation_1-error:0.000632\n",
+      "[85]\tvalidation_0-error:6.8e-05\tvalidation_1-error:0.000579\n",
+      "[90]\tvalidation_0-error:6.6e-05\tvalidation_1-error:0.000579\n",
+      "[95]\tvalidation_0-error:6.2e-05\tvalidation_1-error:0.000544\n",
+      "[99]\tvalidation_0-error:5.3e-05\tvalidation_1-error:0.000544\n",
+      "[[56848    15]\n",
+      " [   16    84]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8634,18 +9478,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9835787770606546\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.979512449891186, 'sensitivity': 0.8984897959183673, 'specificity': 0.9796528498320525, 'precision': 0.07162833717784875, 'f1': 0.13260934858184598, 'auc': 0.9390713228752098, 'actual_accuracy': 0.9113821138211383}\n"
+      "{'accuracy': 0.9995014170693135, 'sensitivity': 0.8271836734693878, 'specificity': 0.9997995181400909, 'precision': 0.8777668909416588, 'f1': 0.8513994360334005, 'auc': 0.9778305328919814, 'pr_auc': 0.8408180626770342, 'actual_accuracy': 0.9654471544715447}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -8654,27 +9499,28 @@
    ],
    "source": [
     "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
-    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'smote', 'SVM_Linear0.5', 'Linear SVM with C=0.5 and SMOTE Sampling', 5)"
+    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'XGBoostplus1', 'XGBoost with one more depth', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.979512449891186,\n",
-       " 'sensitivity': 0.8984897959183673,\n",
-       " 'specificity': 0.9796528498320525,\n",
-       " 'precision': 0.07162833717784875,\n",
-       " 'f1': 0.13260934858184598,\n",
-       " 'auc': 0.9390713228752098,\n",
-       " 'actual_accuracy': 0.9113821138211383}"
+       "{'accuracy': 0.9995014170693135,\n",
+       " 'sensitivity': 0.8271836734693878,\n",
+       " 'specificity': 0.9997995181400909,\n",
+       " 'precision': 0.8777668909416588,\n",
+       " 'f1': 0.8513994360334005,\n",
+       " 'auc': 0.9778305328919814,\n",
+       " 'pr_auc': 0.8408180626770342,\n",
+       " 'actual_accuracy': 0.9654471544715447}"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8683,48 +9529,85 @@
     "results['final']"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Turns out that SVM has very good AUC values, like logistic regression, although the precision and f1 scores are lower\n",
-    "### This means these models can detect more fraud cases (recall higher) which is very valuable for fraud detection"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# SVM was confirmed to have the highest AUC value with C=0.5 and naive sampling\n",
-    "## Previously, we have confirmed that V24 can be removed during forward selection as it was above significance level\n",
-    "## Hence we run a new model of SVM with feature V24 removed\n",
-    "### We try both naive and smote sampling"
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
+   "execution_count": 11,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
-     ]
+     "data": {
+      "text/plain": [
+       "{'accuracy': [0.9994733238531627,\n",
+       "  0.9995786590825302,\n",
+       "  0.999490879724724,\n",
+       "  0.9995084355962852,\n",
+       "  0.9994557870898654],\n",
+       " 'actual_accuracy': [0.9634146341463414,\n",
+       "  0.9735772357723578,\n",
+       "  0.9613821138211383,\n",
+       "  0.9613821138211383,\n",
+       "  0.967479674796748],\n",
+       " 'sensitivity': [0.8163265306122449,\n",
+       "  0.8673469387755102,\n",
+       "  0.8061224489795918,\n",
+       "  0.8061224489795918,\n",
+       "  0.84],\n",
+       " 'specificity': [0.9997889664632538,\n",
+       "  0.999806552591316,\n",
+       "  0.9998241387193781,\n",
+       "  0.9998417248474404,\n",
+       "  0.9997362080790673],\n",
+       " 'precision': [0.8695652173913043,\n",
+       "  0.8854166666666666,\n",
+       "  0.8876404494382022,\n",
+       "  0.8977272727272727,\n",
+       "  0.8484848484848485],\n",
+       " 'f1': [0.8421052631578948,\n",
+       "  0.8762886597938144,\n",
+       "  0.8449197860962567,\n",
+       "  0.849462365591398,\n",
+       "  0.8442211055276383],\n",
+       " 'auc': [0.9810724810473579,\n",
+       "  0.9801376347806239,\n",
+       "  0.9608046479059766,\n",
+       "  0.9835591236652936,\n",
+       "  0.9835787770606546],\n",
+       " 'pr_auc': [0.8330757056545831,\n",
+       "  0.8656811108304565,\n",
+       "  0.8272333048879611,\n",
+       "  0.8271878173573716,\n",
+       "  0.850912374654799],\n",
+       " 'final': {'accuracy': 0.9995014170693135,\n",
+       "  'sensitivity': 0.8271836734693878,\n",
+       "  'specificity': 0.9997995181400909,\n",
+       "  'precision': 0.8777668909416588,\n",
+       "  'f1': 0.8513994360334005,\n",
+       "  'auc': 0.9778305328919814,\n",
+       "  'pr_auc': 0.8408180626770342,\n",
+       "  'actual_accuracy': 0.9654471544715447},\n",
+       " 'model': XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
+       "               colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
+       "               learning_rate=0.1, max_delta_step=0, max_depth=7,\n",
+       "               min_child_weight=1, missing=None, n_estimators=100, n_jobs=1,\n",
+       "               nthread=1, objective='binary:logistic', random_state=42,\n",
+       "               reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=42,\n",
+       "               silent=None, subsample=1, verbosity=1)}"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "varlist2 = []\n",
-    "for col in varlist:\n",
-    "    if col != 'V24':\n",
-    "        varlist2.append(col)\n",
-    "print(varlist2)"
+    "results"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -8735,14 +9618,37 @@
       "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55824  1039]\n",
-      " [    6    92]]\n"
+      "[0]\tvalidation_0-error:0.038544\tvalidation_1-error:0.03311\n",
+      "[5]\tvalidation_0-error:0.028496\tvalidation_1-error:0.01343\n",
+      "[10]\tvalidation_0-error:0.024906\tvalidation_1-error:0.009252\n",
+      "[15]\tvalidation_0-error:0.023563\tvalidation_1-error:0.009252\n",
+      "[20]\tvalidation_0-error:0.020492\tvalidation_1-error:0.008725\n",
+      "[25]\tvalidation_0-error:0.018274\tvalidation_1-error:0.008532\n",
+      "[30]\tvalidation_0-error:0.015634\tvalidation_1-error:0.008058\n",
+      "[35]\tvalidation_0-error:0.013141\tvalidation_1-error:0.007584\n",
+      "[40]\tvalidation_0-error:0.010761\tvalidation_1-error:0.007022\n",
+      "[45]\tvalidation_0-error:0.00916\tvalidation_1-error:0.006654\n",
+      "[50]\tvalidation_0-error:0.007819\tvalidation_1-error:0.00639\n",
+      "[55]\tvalidation_0-error:0.00676\tvalidation_1-error:0.005776\n",
+      "[60]\tvalidation_0-error:0.005959\tvalidation_1-error:0.005214\n",
+      "[65]\tvalidation_0-error:0.004443\tvalidation_1-error:0.004565\n",
+      "[70]\tvalidation_0-error:0.003632\tvalidation_1-error:0.004161\n",
+      "[75]\tvalidation_0-error:0.003166\tvalidation_1-error:0.003968\n",
+      "[80]\tvalidation_0-error:0.002851\tvalidation_1-error:0.003757\n",
+      "[85]\tvalidation_0-error:0.002444\tvalidation_1-error:0.003529\n",
+      "[90]\tvalidation_0-error:0.001706\tvalidation_1-error:0.003265\n",
+      "[95]\tvalidation_0-error:0.001273\tvalidation_1-error:0.002897\n",
+      "[99]\tvalidation_0-error:0.001169\tvalidation_1-error:0.002879\n",
+      "[[56712   151]\n",
+      " [   13    85]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAk8AAAERCAYAAABiq0N0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1wUx//48RcoiIBYUWxRoh4WpKlgF3uJxth7xYjGFqKxtyiW2LBh74oajUrEAtEUewM1GnuJiopgBwREdH9/+GM/nAfCeWcwX95PH/d4eLOzc7N3u8P7ZmbnTBRFURBCCCGEEBlimtkVEEIIIYT4L5HgSQghhBBCDxI8CSGEEELoQYInIYQQQgg9SPAkhBBCCKEHCZ7+D5AbJkVmkvNPCJHVZDh4unDhAiNHjqRevXo4OTlRr149Ro4cyc2bNz9a5U6ePMkXX3yBo6MjzZo1M1q5CxYswMHBgaSkJKOVmZbt27fj4OCAg4MDly9fTjXP1atX1Tx3797Vq/ytW7cyderUdPPVq1ePYcOG6VX2uz7W55GsW7dudOrU6b15Ro4cSe3atY3+2h9DfHw8/v7+NG/eHCcnJ9zc3GjXrh0bNmxQz72IiAjKlSvH+PHj0ywnOc/8+fOBt5+lg4MDAwcOTHOfQYMG4eDgwMiRI412PCdOnMDBwYGjR48CEB0dzciRIzl+/Liax9Dz7GO0M3v27KFFixY4OTnRsGFD1q5dm+4+T548Ua/JlI+KFSt+cD0M9V869z+2d8/F5Hb29u3bmVwz43BwcMDPzy+zq/HJGDt2LOXKlSMyMjLNPGPGjMHV1ZXY2FgA/vrrL3r37o2HhwceHh54eXlx8eLFNPePjo6mTp06GW4zs2ck0+bNm5k8eTJubm4MGjSIQoUKER4eztq1a2nTpg0rVqygUqVKGXpBfUyfPl39A5QnTx6jldumTRuqVatG9uwZOnyjMDU1Ze/evZQtW1Zn265duz643MWLF+Pm5pZuvnnz5mFtbf3BrwMf7/PQR79+/ejcuXOmvLY+FEWhX79+XLt2DS8vLzQaDYmJiZw8eZLp06cTGhrK3LlzKVy4MDVq1CA4OJixY8dibm6uU1ZgYCDw9rxNZmpqysGDB4mNjdX5XGNjYzlw4IDRj6l8+fIEBATg4OAAwKVLl9ixYwdffvmlUcr/GO1MSEgI3333He3bt2fo0KEcP36cqVOnoigKPXv2THO/5C86c+fOxdbWVk03Nc28zvr/yrmfGerUqUNAQAB2dnaZXRXxEbRr146tW7cSFBREnz59dLYnJCQQHBxMs2bNsLa25vLly3Tt2hU3Nzd8fX1RFIVVq1bRoUMHfvrpJ8qXL69Txg8//MCDBw8yXKd0o4ezZ88yadIkOnbsqPPtuGnTprRt25bhw4fz66+/ki1btgy/cEY8e/YMV1dX6tSpY9RyixQpQpEiRYxaZnoqVapEcHAwPj4+Ott2795N+fLl3xsVG8oY35g/1uehj5IlS2baa+sjLCyM48ePs2zZMq33q379+uTNmxc/Pz/69OmDo6Mjbdu25dChQxw4cICGDRvqlBUYGEiNGjUoWrSomubm5kZYWBi///67TvCyb98+bGxsjH5MuXLlonLlykYvFz5eO+Pn54enpyeTJk0CwNPTk6SkJPz9/encuXOqwSq8DQxz5sxJ48aNMzVgSum/cu5nhvz585M/f/7Mrob4SJydnSlTpgw7d+5MNXj69ddfiY2NpX379gCsWLGCAgUKsHz5cvUar1GjBvXq1WPNmjXMmDFDa/89e/Zw4MABrKysMlyndFuFFStWkCtXLr7//nudbTY2NowcOZLmzZsTHR2tVZE2bdrg6upK9erVGTduHE+fPlW3L1iwgIYNG3L48GFatWpFxYoV1YMCuHv3Lg4ODty7d49du3bh4ODA9u3b0+ya7dSpE926dVOfX7p0id69e1OlShVcXFzo3LkzR44c0Xr9d4ftDK1zepo2bcqtW7d0AqSzZ8/y4MEDmjRporPP/v376dKlC66urjg6OtKkSRPWr1+vbk9+j4KCgtTegOR6Llu2DA8PD6pXr86DBw+0hlOmT5+Og4OD1nuyf/9+HBwcUj2etD4PgFu3bjF48GBq1qyJs7MzXbt25dSpUzr7rlu3jhYtWuDs7My6desy9J6l5t2hi3r16rFgwQL8/PyoVasWTk5OdO7cmb///ltrv+vXr9OvXz/c3NxwdXXF29tbZyjo7t27DB8+nJo1a1KhQgWqVavG8OHDefLkiZqnW7duDB8+nKFDh+Lq6kqHDh1SreejR4/SPIbWrVvz3XffqT1G9erVI1++fOzcuVMn7+nTp7l16xbt2rXTSi9cuDAuLi7s3btXZ59du3bRpEmT9/7RT/68z507p6b9+uuvODg4sGrVKjXt8ePHlC1blt27d2sNlWzfvp3u3bsD0KtXL62u7tevX+Pn50fNmjVxcnKiU6dOXLhwIc26gP7tTGpDaikf8Pbz/Oeff3SuraZNmxIdHU1YWFia9bl06RIajcbgwGn79u2UL1+ev//+m86dO+Pk5ETNmjWZM2cOr1+/VvM9efKEH374gbp16+Lo6Ii7uzsDBgwgPDxczZPy3B8/fjxVq1bVmXqwcOFCnJ2d1aGLjJz373r58iW+vr54enri6OhIw4YNmT9/vtZrZfRaGTNmDMuWLaN27do4Ozvj5eXFw4cP2blzJ02aNMHFxYUOHTpw6dIlrePs1KkT27dvp27duri4uNC9e/f3frl892/DyJEj6dmzJzt37qRp06Zq+/nuNXbjxg2+/vpr3NzcqFGjBvPmzWPUqFFaf09Sc+rUKby8vKhSpQqOjo7Uq1eP+fPna32mDg4ObNq0iYkTJ+Lh4YGzszNff/01d+7c0Srr999/p3Xr1jg5OdG8eXOt9jMtabXzANu2baNFixY4OjpSu3ZtZs+eTWJios6+v//+O82bN6dixYp8+eWXnD59mr///ptOnTrh5OREo0aN2LNnj9brptfeN2nShG+++Uanvt27d9eakvH777/Ttm1bnJycqFatGhMmTCAmJua9x9y2bVuuXLnC1atXdbYFBgai0WhwdnYGQKPR0LNnT60vR1ZWVhQpUoSoqCitfaOiovjhhx8YPXq0XqMz720ZFEXh0KFDVKtWjZw5c6aap169evj4+JA3b14AFi1ahI+PD+XLl8fPz4/+/fsTEhJC9+7diY+PV/d79OgRY8aMoW3btixevJgKFSowbdo0jhw5QsGCBQkICMDW1paaNWsSEBCQ4d6O2NhYevXqRY4cOZg5cyZz587FzMwMb29vrYYoJWPUOT3VqlUjX758On/sdu3apW5L6c8//2TAgAGUKVOGBQsWMHfuXIoWLYqvry+hoaEAOu9RsoiICAIDA5kxYwbDhg3T6cr28fGhVKlSjB8/nvj4eB4/fsy4ceOoWbMmPXr00Kl7Wp/H9evXad26Nbdu3WLEiBFqNN+zZ0+OHTumVcbMmTPp2LEjP/74o9F7rtavX8/Zs2eZMGEC06ZN4969ewwaNEhtyG7fvk3Hjh25f/8+kydPxtfXl8jISDp16kRERATwttu3e/fuXL16ldGjR7Ns2TK6dOnCrl27mD17ttbr7dmzh5cvX7JgwQK8vb1TrZO7uzvW1tYMHTqUGTNmcPLkSRISEtT309vbW+1JMDc3p2XLlvz5559aX0IAduzYQf78+alXr57OazRr1ozDhw+rfyjh7R/h48eP06JFi/e+ZzVq1CBHjhzqnBFA/f+JEyfUtEOHDpEtWzZq1aqltX+dOnUYO3YsAKNGjaJfv37qtpCQEM6cOcOkSZPw9fUlPDycfv36af1hSelD2pmAgID3PuDtH0YAe3t7rbJKlCgB8N4g4vLlyyiKQvfu3XF2dsbd3Z3x48drvdcZ9ebNGwYMGICnpyeLFy+mXr16LF26lG3btqnH7+3tzYEDBxgyZAjLly+nf//+HD16lHHjxqVaZsuWLXn69KlO27N7927q16+PtbV1hs771Pj6+vLrr7+qdfnyyy9ZtGgRy5cvB/S7VoKDg/n999+ZOHEiI0aM4Pjx4/To0YMlS5YwaNAgJk+eTHh4uE6P/LVr15g5cyb9+/dn+vTpPH36lG7duuk1rHLhwgUWLFjA119/jb+/PwUKFGD48OH8888/wNtrpWvXrty9e5fJkyczcuRIdu/eze7du99b7uXLl+nZsydWVlbMmjWLhQsX4urqir+/v84UDD8/P549e8aPP/7I2LFjOXv2LMOHD1e3HzhwgG+++YYiRYowb9482rZt+965jCml1s6vWLGC0aNHq/Xp1q0b69at0/lS8vDhQyZPnkyfPn2YM2cO0dHRDBkyhMGDB9O0aVP8/PzIly8fw4cP5/79+wAZau9btmzJwYMHtdqxyMhITp06RcuWLYG37WfyMc+dO5dBgwYRHBzM119//d55yC1btsTMzEwnAH7w4AHHjh3T+oLZt29fnb9l4eHhXLt2DY1Go5We/H61bt06Q++7SnmPx48fKxqNRpk5c+b7sqmePXumODo6KiNHjtRKP3HihKLRaJS1a9cqiqIo8+fPVzQajfLnn3+qeeLi4pQKFSookyZNUtPq1q2rDB06VH2+bds2RaPRKLdu3dIqv2PHjkrXrl0VRVGUs2fPKhqNRgkLC9M6jqlTpypXr17Vev1Xr14Zvc7vSlnnCRMmKA0aNFC3JSUlKTVq1FB27NihbNmyRdFoNEp4eLiiKIqydOlSxcfHR6usJ0+eKBqNRvH390/zPUqtnqnlO3funFK+fHll1qxZyoABAxQPDw8lKioqzeNIrYwhQ4YoVapUUZ4/f66mJSYmKo0aNVK++uorRVEUJTw8XNFoNMqQIUPeW7aiKErXrl2Vjh07vjfPiBEjlFq1amnVqVatWkpiYqKalvxenj9/XlEURRk6dKji7u6uPH36VM0THR2teHh4KOPGjVMURVEuXryodOjQQblx44bW63l7e2t9Zl27dlXKly+vxMTEpHs8YWFhSqNGjRSNRqNoNBqlQoUKSqdOnZQ1a9YoCQkJWnmvXbumaDQaZcuWLWpaQkKCUqlSJWXGjBlaeZM/h6ioKKVs2bLKjh071G0bNmxQ6tevryiKotSqVUsZMWJEmvXz8vJSrxtFUZRGjRoprVu3Vtzc3JSkpCRFURTFx8dH6datm6IoinL8+HFFo9EoR44cSfV5ct1q1KihdXwBAQGKRqNRLl++nGo99G1nMmrXrl2KRqNRrl+/rpUeHx+vaDQaZcmSJanul5CQoJQvX16pVKmSsnnzZuXkyZPK8uXLFRcXF6VTp07K69evM1yH5Ot/w4YNatqbN2+UOnXqKN7e3oqiKMqDBw+Uzp07K0ePHtXad9KkSUq5cuXU5++e+w0aNFC+//579fnff/+tde1n5LxPTZMmTZSxY8dqpa1atUo9z/S5VipUqKA8fvxYTevdu7fOZ7J8+XJFo9EoT548UY9To9Eox48fV/M8ePBAqVixojJt2jRFUXTPvXf/NiSXce3aNbWM27dvKxqNRlm5cqWiKIoyd+5cxdHRUYmIiFDzhIeHKxUqVNC6Lt61fft2pUePHuo1oiiK8vr1a6VSpUrK6NGj1TSNRqO0adNGa18/Pz+tY23fvr3y5ZdfKm/evFHzBAYGKhqNRpkzZ06adUitnY+JiVGcnZ11/pbt3LlT0Wg0yunTp7X23b9/v5pnyZIlikajUQICAtS0v/76S9FoNEpwcLCiKBlr7+/du6c4ODgoW7duVfOsWrVKcXR0VJ4/f66e+8ltSrLQ0FBFo9EoQUFBaR6zoijK4MGDlTp16mi9X0uWLFEqVqyodZ6/Kz4+XunYsaPi6uqq3Lt3T00PCAhQ3N3dlYcPHyqKkn6bmdJ7e56S5xak9Y3xXWfPniUxMVHnW6+7uztFixbl5MmTWukpJ3/mzJmTPHnyEBcXl6HXSkuZMmWwtbWlf//+/PDDD/z222+Ym5szatQoypQpk6l1btasGXfu3FGHlE6cOEFMTAwNGjTQydu3b1/mzJlDQkICly9fJjg4mBUrVgBodcGmJXnoIi0VK1bE29ubFStWsG/fPqZMmaI1MTYjTp48Se3atbXm15iZmdG8eXMuXryo1Q37brRvTE5OTpiZmanPCxcuDKD2Gh4/fhwPDw+sra1JSkoiKSmJnDlzUr16dQ4fPgxAuXLl2Lx5M/b29oSHh3P48GFWr17NzZs3dd7vIkWKZKh7183NjeDgYH766ScGDx5M5cqV+fvvv5k6dSqtW7fWGuIoXbo0Li4uWt+q9u/fT0xMDG3btk21fFtbWypXrkxwcLCatmvXLr744ot06wZQt25dzpw5Q3x8PBEREdy6dYv+/fsTGxvLhQsXeP36NUeOHEm11+t9nJ2dyZEjh/r8s88+A9DpVUumbzsDqJ9jWg942+MDYGJikmoZaaWbmpqyYsUKtmzZQocOHahSpQp9+vRh4sSJhIWFcfDgwQzXM1nKdsPExAQ7Ozu13ShUqBABAQFUq1aNBw8ecPz4cQICAjhz5gyvX79O831p2bIl+/fvV3s0g4KC1N5hyNh5n5oaNWqwZcsWvL292bhxI+Hh4fTq1YuvvvoK0O9asbe31+pVt7W1xcbGhlKlSqlpyb2JKc+PwoUL4+HhoT4vVKgQrq6uOu3x++TOnZvSpUurz5N74JPf9+PHj+Pi4qLVM1+sWDFcXV3fW26rVq1Ys2YNr1+/5vr16+zfv5+FCxfy+vVrneN/9waHlG1TQkICf/31Fw0aNNA6F5s1a5bh4eKU7XzytdygQQOta6Fu3bqYmprq9FKmrFty25/y5qN3P5eMtPdFihShSpUqWj1wQUFB1K1bFxsbG/755x8iIiJo2LChVh2dnZ2xtbVNdxSnbdu2REREaJ0HO3bsoGHDhmnexBQdHU2fPn04f/48s2fPVuc73759m5kzZzJhwgQKFCjw3tdNzXsnjOfOnRsrKyvu3buXZp6XL18SHR2Nra0tz58/B0i1IgUKFNBpPC0sLLSem5qaGrxmjKWlJZs2bWLp0qWEhISwceNGzM3NadSoERMnTiRXrlxa+f/NOleuXJlChQqxd+9eHB0d2bVrF56enqn+IX769Ck//PAD+/btQ1EUSpQooU7WzcjrZeRkaNWqFYsWLSJ37txUqVIlQ8eQ0vPnz1MNuJJfO2XwpG9gpo/UPhP43x/Pp0+fEhISQoUKFXT2TRl0rV27lqVLl/L48WMKFCiAo6MjOXPmVP84JdPnQjMxMcHFxQUXFxcAXrx4werVq1mwYAHLly9nxIgRat62bdsybtw4IiIiKFy4MNu3b8fd3V1n2CmlL774Al9fX2JiYoiJieHMmTNMnjw5Q3WrW7cukyZN4tSpUzx8+JCCBQtSv359ChQowMmTJ0lKSuLZs2d6B0/vDr29+3m8S992Bkj1s0zpypUraiP/7lBb8vO0AmAzMzOqVaumk163bl3g7XwoT0/P977+u959T0xMTLSu4127djFnzhzu3btHnjx5KF++vHpep3W9t2zZkoULF/LHH3/QuHFj9uzZQ/PmzdVgNKPn/btGjBhBkSJF+OWXX5g0aRKKolCuXDnGjh2rtkEZvVZSm4Cb2nvxrkKFCumk5c+f/73nyLvSaheS38/k5SjeVaBAgffOWXz58iVTpkwhMDCQxMREihcvjqurK9mzZ9f5rN7XNj1//hxFUXSmbJiZmemkpSVlW5Q8Rze1OUeAzm3+6X02734uGWnvc+XKRatWrRgzZgwPHz4kJiaGCxcuqEORyXX09fXF19c33Tq+q0aNGhQpUoSdO3fi4eHB2bNn+eeff/jhhx9SzX/nzh28vb25f/8+8+bNU6/h169fM2LECGrXrk2jRo20hgsVRSEpKYls2bKl+QULMnC3Xc2aNTlx4gQJCQk6JwLA3r17GTFiBMuWLSN37tzA27lB7/Y0REVFqZO5PlTygbz7TSw2NlYr6ixevLh6e+Lly5fZs2cPK1euJHfu3Dp38nzsOqdkampKkyZNCA4OZsiQIezbty/NNZqGDh3KjRs3WL16NS4uLpibmxMfH8+WLVuMUhdFURg/fjyFCxfmxYsXTJo0iVmzZulVRu7cuXn48KFOevKEvDx58mj1rmSWXLly4eHhkepdGsmCgoKYOnUq33//Pa1bt1YbryFDhmjdOJBRgwcP5uHDh2zatEkr3crKioEDBxISEsL169e1tjVr1oypU6cSFBREy5YtOXbsGNOnT3/v6zRu3JjJkyezf/9+Hj9+jEaj0fq2/T5FihRBo9Fw9OhRnjx5goeHByYmJri7u3Py5EliY2MpVaqU2nP0MenTztSpU4eff/453TKTg87bt2/j5OSkpt+6dQtAq/cjpfDwcA4ePEijRo20/lgkBwbJ38iNJTQ0lO+//55u3brh5eWlBg4zZsx476T24sWLU6lSJfbu3UvevHmJjIxU55VAxs771JiZmdG7d2969+7N48ePOXDgAIsWLeKbb77h8OHDhISEZPhaed8fn/dJ7Zp7+PChUe+os7Oz4/HjxzrpqaWl5Ovry549e/Dz86NatWpYWloCpBpwv0/evHkxNTXVaUOTAyt9JX9Z+PHHH1M9t989b/X9bDLS3sPbNmnSpEmEhITw5MkT8uXLp86ZTK7j0KFDU32/0rvbzdTUlNatW7N27VomTJjAjh07KFmyJO7u7jp5z507R9++fQFYs2aNVo9iREQEZ86cAdDquYe3k88DAwNZt26dVu+nTl3eW1Ogd+/ePH/+PNU/rM+ePcPf3x87Oztq1KiBs7Mz5ubmBAUFaeU7deoUERERBq8FlfxNMeVkx4cPH6oTAOHtG1G1alWioqIwMTGhXLlyDB06lM8//zzVby0fu87vatasGXfv3mXZsmUoipLm5OmwsDAaNGiAu7u7esdA8to9Kb/dfOjdQAEBARw9epTJkyfz/fffExQUREhIiF5lVKlSRWdyYFJSEnv27KF8+fJqo5LZ3N3duX79OmXLlqVixYrqY/369Wr3clhYGJaWlvTp00f9YxAbG0tYWFiaPSbvY29vz+nTp3UmzsPbb2hRUVE6wbqVlRVNmzYlJCSE4OBgrK2tady48XtfJ2/evFStWpWQkBD27t1L8+bN9aqnp6cnR48eJSwsjKpVqwJQtWpVQkND+eOPP97b62TMpUn0aWcArc8xtQe8HS4sWbKkTuO4d+9ecufOneYXo7i4OCZNmqRO6E62e/duTE1NP6iX9n3OnDnDmzdv6N+/vxo4JSUlqUMY7zv/vvrqKw4dOsQvv/yCRqOhXLly6raMnPfvSkhIoHHjxuoUgfz589O6dWs6derE8+fP1WvCmNdKau7cuaO1qHBkZCRnz55Vz1FjqFKlCn/99ZfWJPSoqCjOnj373v3CwsKoUqUK9evXV9u48+fP8+TJE71GTszNzdVh95QdAgcOHODVq1d6Hs3//pY9ePBA6/O2trbmxx9/VG+g+FAZbe+trKxo0KAB+/fvJzg4mC+++ELt6fz8888pUKAA4eHhWnUsVqwYM2fOTPe9h7d3K7948YJDhw4REhJCmzZtdALBmzdv0rt3b6ytrdmyZYvOUGzBggX5+eefdR758+enbt26/Pzzz+n2bqfb8+Ti4sK3336Ln58fN2/epGXLlhQoUIDr16+zdu1anj59yrp168iePTt58uShb9++LFy4EDMzM+rXr8/du3eZP38+9vb2Wov8fYjkKH/69OkMGTKExMREli5dqjUU5+bmpi5Q2KdPH3Lnzs2hQ4e4du1aqt/APnad3+Xi4kLRokVZsmQJLVq0SHOdGScnJ3bt2kWFChWws7Pj9OnTrFixAhMTE605VjY2Nly5coVjx469N0pO6fbt28yaNYtWrVqp8yOCgoKYMGEClStXzvC3u4EDB3Lw4EG6du1K3759yZEjB+vXryc8PJylS5dmqIx3RUVFpbpcwmeffab38FHKenbo0IHevXvTpUsXcubMybZt2wgJCVHvGHF2dmbTpk34+vpSr149oqKiWLVqFY8ePdJr7Y9kvXv35rfffsPb25v27dtTrVo1rKysuHnzJuvXr8fKyorevXvr7NeuXTs6duxIbGwsX375pdbcobR88cUXjB8/nqSkJHUV8ozy9PRk2bJlAOr5U7VqVV68eMHly5ffu/J58nV38OBBbG1tU51TmFH6tDP6GDRoEEOHDmXUqFE0atSIEydOsGHDBkaNGqX2cMXExHDlyhXs7e3Jnz8/Dg4ONG7cGH9/f968eUPFihUJDQ1l5cqVdOrUSf1W/+5+Hyq5V2zy5Mm0adOG58+fs3HjRq5cuQK8nR+TVjvRtGlTfH19+eWXXxg6dKjWtoyc9++ysLCgQoUK+Pv7Y2pqSrly5bh79y6rV6+matWq5MuXz+jXSmpMTEz45ptv+Pbbb8mePTv+/v7Y2Nikejfwh+revTsBAQF4eXkxYMAA4O2iw0lJSe/tlXF2dmb37t1s2LCBUqVKcfnyZZYuXarTNmeEj48P3bt3p2/fvnTu3JnIyEj1b5G+8ubNy9dff83ChQuJjo6mWrVqPH78mIULF5KQkICjo6PeZaakT3v/1Vdf0bdvX16/fs2PP/6opmfLlo3vvvuOMWPGAG/XvYuLi2P58uXcvn2bCRMmpFuPokWLUr16dWbOnElMTEyqd8mNHz+eFy9eMHr0aKKiorSWJ8iVK1eavxaQHMdkZF3EDLVE/fr1o0KFCgQEBDB79myePn2KnZ0dVatWpX///hQvXlzNO2jQIAoUKMCGDRvYvn07efLkoUmTJvj4+Bh8YVlbW+Pv78+sWbP49ttvsbOzo3fv3ly4cEFdO6NgwYKsWrWKuXPnMmnSJF68eIG9vT1Tp05VJzy+62PWOTXNmjVj+fLl772dfPr06UyePFkd1itZsiQTJ05kz549Wl353t7eTJgwgW+++Uan9yw1b968YcSIEVhZWWmtzePr60uLFi0YN24cixYtytBxlClTho0bNzJnzhz1lmonJyfWrl37wd/O7969y7Rp03TS69ev/8HBk0ajYePGjcydO5fRo0ejKAqlSpVi7ty5NG3aFHh7sWDy2vQAACAASURBVIeHh7Nt2za2bNlCoUKFqFOnDt26dWPs2LFcvnw51dXh05I7d242b97MqlWr+P3339mxYwcvX77Ezs6OevXq0a9fv1TnNbi6ulK6dGmuX7/OvHnzMvRaDRs2ZMKECbi6umotpJkRrq6u5M2bF0tLS/U6LlGiBEWKFCE+Pv69k2fLlClDy5YtCQgI4MaNG+qt7B9Kn3Ymo5o3b05iYiLLli0jKCiIIkWKMHbsWK11fC5evEj37t2ZNm2a2hDPmDGDpUuXEhgYyOLFiylcuDCDBw/W+gKW2n4fwsPDg/Hjx7N69Wr27dtHgQIFcHd3p2fPngwYMIDQ0FDq16+f6r7W1tbUr1+f4OBgnfYkI+d9anx9fZk/fz4bNmwgKiqKPHnyUL9+fb777jvA+NdKamxtbRkwYAAzZ87kxYsXVKtWjZEjR2Z4LlBG2NjYsG7dOqZMmcKoUaOwsrKiS5cuHDp06L295iNGjCAxMZEFCxaQmJhIsWLF6NevH//88w/79u0jKSkpw0G+m5sbK1euxM/PDx8fHwoVKsS4ceNSnQ+UEYMHD1aXllm3bh02NjZ4eHjg4+Nj8JCnPu199erVKVCgANbW1jqBSJs2bbC2tmb58uUEBgZiaWmJs7Mzvr6+aQ6lv6tNmzb4+PjQsGFDnTmojx8/VteeGjVqlM6+bm5uOtMpPoSJYugMbSGEyKLmzZtH6dKlM3yHo0jfyJEjOXr06Afd1aiP06dP8/z5c3USMcCrV6+oW7cuLVq00LqZQ4h3/Xs/7iaEEP+H3L9/nz179mToh4bFpycqKopvv/0Wb29vPDw8iIuLY+vWrVo/8yFEWiR4EkKID5A/f34WLVokP0b7H9WkSRMmTJjAxo0bWbt2LWZmZri4uBAQEPDe5UGEABm2E0IIIYTQy6fxc+FCCCGEEP8REjwJIYQQQuhB5jwJIYTIUkwaFstwXmXf3Y9YE/FfJcGT+GTo06CJ//uS/2jFJcWkk1NkJZbZc6WfKT0f+LMxQiST4EkIIUTWIhNWhIEkeBJCCJG1SM+TMJAET0IIIbIWiZ2EgSR4EkIIkbVkk+hJGEaCJyGEEFmLDNsJA0nwJIQQImuR2EkYSIInIYQQWYupRE/CMBI8CSGEyFokdhIGkuBJCCFE1iJznoSBJHgSQgiRtcjddsJAEjwJIYTIWiR2EgaS4EkIIUTWIsN2wkASPAkhhMha5G47YSAJnoQQQmQtEjsJA0nwJIQQImuRnidhINPMroAQQgjxrzI1yfhDDzdv3sTBwUHnsXXrVgAuXbpEt27dcHFxwdPTk5UrV2rt/+bNG+bPn0+tWrVwdnamd+/e3L59WyuPMcoQhpPgSQghRNZiosdDD1euXMHa2prDhw9rPVq0aMGTJ0/o2bMnJUqUYNu2bQwZMoT58+ezZcsWdX9/f382bdqEr68vP/30E9myZcPLy4uXL18CGKUMYRwybCeEECJr+Uh32129epVSpUpha2urs23NmjWYmZkxceJEsmfPTqlSpbh9+zbLli2jffv2JCYmsmrVKoYNG0adOnUA8PPzo2bNmuzdu5evvvqKLVu2GFyGMA7peRJCCJG1mOrx0MOVK1coVapUqttCQ0OpXLky2bP/r8/Cw8OD8PBwIiMjuXTpEnFxcVStWlXdbm1tTfny5QkNDTVaGcI4JHgSQgiRtZiYZPyhh6tXrxIVFUXHjh2pXr06nTt35vDhwwBERkZiZ2enlb9gwYIAREREEBkZCUChQoV08kRERBitDGEcMmwnhBAia9FjInh0dDTR0dE66TY2NtjY2KjP4+LiuHv3Lvny5WPo0KFYWVmxc+dO+vTpw6pVq0hISMDc3FyrjOTnL1++JD4+XistZZ7ExEQAo5QhjEOCJyGEEFmLHmMua9euZeHChTrpAwcOZNCgQepzS0tLwsLCMDMzU4MXR0dHbty4wYoVK7CwsNAJYJKfW1paYmFhoaalDH4SExOxtLQEMEoZwjgkeBJCCJG16DEc16NHD1q1aqWTnrLXKZmVlZVOmkaj4Y8//qB48eJERUVpbUt+bmdnh6Ioapq1tbVWntKlS6v5DC1DGIfMeRJCCJG16LFUgY2NDcWKFdN5vBs8nTlzBldXV86dO6eV/vfff1OmTBmqVKlCWFgYSUlJ6rbjx49TsmRJbG1tKVu2LNbW1pw8eVLdHhsby8WLF3F3dwcwShnCOCR4EkIIkbV8hEUyHR0dKVasGOPGjSMsLIwbN27g6+vLmTNn6N+/P23atCE+Pp7Ro0dz/fp1AgMDWbNmDd7e3sDbeUldu3bFz8+P/fv3c/nyZXx8fChUqBCNGjUCMEoZwjhMlOR+PiEymUnDYpldBfEJUfbdBSAuKSaTayI+JZbZcxlchsmgihnOqyw4n+G8kZGRzJ49myNHjhAdHU2FChX47rvv1F6f8+fPM2XKFC5cuICtrS09e/ake/fu6v6vX7/Gz8+P7du3Ex8fT6VKlZgwYQLFixdX8xijDGE4CZ7EJ0OCJ5GSBE8iNcYInkyHOGU475t559LPJLIcmTAuhBAiSzH5SCuMi6xDgichhBBZisROwlASPAkhhMhSTCV6EgaS4EkIIUSWIsN2wlASPAkhhMhSTE1llR5hGAmehBBCZCnS8SQMJcGTEEKILEWG7YShJHgSQgiRpUjwJAwlwZMQQogsxQQJnoRhJHgSQgiRpUjPkzCUBE9CCCGylGx6/OCvEKmR4EkIIUSWIj1PwlASPAkhhMhSJHgShpLgSQghRJYisZMwlARPQgghshTpeRKGkuBJCCFEliLBkzCUBE9CCCGyFPltO2EoCZ6EEEJkKdLxJAwl4bcQBsiXKw/Kvrs6j63jlgJQSeOU6vaZfceqZeSxzs0ynxnc2xzK421/E/jDSuztPtN6nWK2hdkwcgH3NofyZPvf7PtxE66lHdOsV49G7VD23aVEoWIf58CFQf78/QA1qtTWSlMUhRVLV9K0/hdUq1SDfn2+4Z+bt7TyPHz4iFHfj6FujfrUrlaXsaPG8+TxE608Fy9com+vflR1q0FDzybMnuFHQkLCxz6k/xQTE5MMP4RIjfQ8CWEA51LlAWg0sjPRcbFq+uPopwA42ZcjNv4FDUZ00trv/qMH6v83jfbHtXQFvl/my5OYZ0zqMYzfZmymYt8GvEiIw8Lcgl+nb0RRFL5dNJHYhDh8Wvfh4JxtOPVtyD8P7miVXSivLXO8J3ysQxYGOnvmL8aOHI+iKFrpyxYvZ/WKtQz+bhBFihRmxdKVeHv1Z9vOreTKZc2rV0kM6jeYly9fMmbCaExNTVkwdyHf9B3Ixq0bMDU15fat23zd05vinxVj6gxfkpKSWLRgMTeu3WDR8oWZdMSfHgmKhKEkeBLCAE725XjwJIp9YQdT3/55Of6+dYUTl06nut02T36aVPGk96yhrN+/DYCrd29ydc0hmlSpy7ZDu2letT7lPitD6R41uXH/FgB//nWU2xtO0K95N0asmKJVpv+gKcS9jCcfeYx3oMJgiYmJbFy/iUULlpAzZ07evHmjbnvx4gXrVm/A+5uv6dy1IwBulVxp1rAFgdsC6dazK8ePHefK5ats3LqBcuXLAmCT24ave3rz15lzuFZyYVPAT5iamrBouT/58uUFQONQhlbN23Lo4GFq1a757x/4J8hUgidhIBm2E8IATp+X49w/l9Lebl+OczfT3m5hlgMg1V6rfLneBj/PYqOZu32FGjgBxL9MIPzhfewLF9cqr02tL6hd0YOJ6+fofSzi4zpy6CirVqzh22FD6Nilg9a283+dJy4ujjp166hpNrltqFTZjaNHjgFQqZIbqzesVAMnADMzMwASXyUCcOfWHRzKOaiBE0BJ+5LkyZuHo4ePfaxD+88xNTXJ8EOI1EjPk8iQJ0+e8NNPPxEaGkpERAQvX77E0tISOzs73N3dadeuHXnyZL2eDqfPy5GQ+JIjcwNxK+PIo+dPmR+4iplbFgNQ0b4sL18lcmZJCOU/K8OdqPtMDpjLun0/AxD+8D5Bx/YxpvMg/r51mScxz/DrN5HnL6LZc/J3APafPsT+04e0XrekXXEcSzqw+8RvalreXHlYOHAy3y6eyIuEuH/pHRAZVcGxPLtDdpLLJhdL/Jdqbbt96+3Qa/Hi2nPUihYvyp+/HwDA0soSF1dnAF4lvuLq1WvMmDoL+8/tcavkBkChwoUIOxmGoijq0FRMdAwx0THcv3f/ox7ff4kJEhQJw0jwJNJ1/vx5+vTpg5WVFZUrV6ZcuXKYm5uTmJhIVFQUmzZtYtWqVaxevZqyZcumX+D/ESYmJpT/TMOLhDiGLZvMnaj7NHOvx7TeI7Ewz8GKvZuwzZOfMkXtGbVqGk9jntOp7lesHT4XRVHUYbohiyaw78eNXF719o9k/MsEmo/rwb1HEam+rll2M1Z+N4uExJcs2bVBTZ/bfyJnrl9g4+87aFm98cd/A4ReChYqmOa22BcvMDc3x8zcTCvdytKSF7EvdPJ/03cgoafCyJEjB34LZmNm9rYpb/ZFUwK3/cKPU2bQx9uLxFev+HHKDLJly0ZCvEwaTyZznoShJHgS6ZoyZQr16tVjypQpqa6P8ubNG8aMGYOvry8bNmxIpYT/m0xMTGg+rgd3ou5rzUWyzmnJiPbfMGvrEhqP6sK5m5d48CQKgN/OHKZI/kJM6ObD+v3bKJLfjmPzfyHq2WPa/NCX6LgYvm7WmR0TVtBoVBeduVLmZub8NGYRtZ08aDvJm/uP3048b1zZk1Y1muD4df1/9T0QRpKip0grGSXVoaP+g/qRmJjIL9t3MvibIczzn0v1mtWo4lGZ0eNH4jdzHj9t2oqZmRldunfm+bPnWFhY/BtH8p8gwZMwlARPIl2XLl1KM3CCtwvO9enTh7Zt2/7LNctcb9684Y+zR3XSg0/9Sf8W3fm8cAl+DT2guz30T5q618XKwpJejduT1zo3bv2bqoHQ/tOHODrvF2b0GU2dof97T20sc/HLpFXUqFCZHjN8+OVoCADWOa1Y+u10Jqybzb1HD8hmmk39rLKZZsPExETnzi7xabG2tiYxMZFXr5LUXiSAuLh4rHNZ6+R3q+QKgEdVd+7cDmftqnVUr1kNgHYd2vJV668IvxOOrW0Bctnk4otGX1L8s+I65WRVEjsJQ8mEcZEuW1tbrly58t48586dy3JzngrnL8TXzbpQIHc+rfScOd5+w8+XKw/ezbtibmauvd3cgriEeF4kxFHctgjhD++rgVOyIxdOUb6ERn2e3yYvB+dsw6OsK20m9WXj7zvUbZXKOFGiUDHm9JtAUshtkkJus33CcgBurDvCqmGzjXrcwvg+K/EZiqJw/949rfR74fcoUbIEANeuXmfv7mCt7SYmJmjKliEq6m3P5o3rNwnZ+ytmZtn5vJQ9uWxyERMdQ+SDSBzKahBvyTpPwlASPIl09erVizFjxjB79mwOHTrEtWvXuH37NteuXePIkSP4+fnxww8/0KNHj8yu6r8qh5k5y3x+pGv91lrpbWo140r4DbKZZmPJkOk0c6+ntb11zaYc+vsEAFfv3eSzgkUpWqCwVh6Psq7q+k3Zs2Vnt+86Pi/8GY1HdSHo2D6tvGHXzlF5QDOtx9ClkwBoMa4nE9fJnXefOmcXJ3LkyMEfv/2ppkU/jyYs9DTuVd0BOHvmLGNGjCP8zl01T2JiIqdDz1C6TGkArl6+ypgR47QWztz60zYURaFm7Rr/zsH8B5iammb48aH++ecfXF1d2bp1q5p29+5dvL29cXNzo3r16sycOZOkpCSt/QICAqhfvz5OTk506NCBc+fOaW03RhnCcDJsJ9LVpUsXcubMydKlS1m+fLnWtzFFUbC3t2fMmDG0a9cuE2v577v1IJyNvwcyuef3vFEULt25RrvazWlTsxlfTfTi4PnjHDp/giVDppHXOjcRT6Lw/qILTp+XpabP24BrVfBPfNuqD3unrmfSBj+i42Lp3qAtNSpU4auJXgAMbNkTj3KuTN/sT2LSKzzKual1eBrzjKt3bxJ2VbtxLPb/g7Hz/1zmduRdxKfN0sqSjp3b4z9/MaampnxW4jNWLluFlbUVrdp8BUCTZk1Yt3o93w0eSr8B3mTPnp2AdRt5GPWQWXNnAFC7bi3yF8jPqOFj6eXVnWtXr7NowWLatGtNSfuSmXeAn5iP3aH06tUrhg0bRlzc/+56TUxMxMvLC3t7ezZv3kx4eDijR48me/bs+Pj4ALB9+3ZmzpzJ5MmTKVeuHCtWrKBPnz7s3buX/PnzG6UMYRwmikyGEHp4/PgxkZGRxMfHY2FhQeHChcmXL1/6O2aAScP/3k+JWJhbMK7rEDp5tqRw/oJcunOdSRvmEnjk7fBK3lx5mNp7BM09GpDfJi+nr59n5IppHP77pFrGZwWLMst7HA3damFiYsJfNy4yfu1sDpx7uy7PH7O24ulcLdXX33V8Py3G9dRJb1m9MYE/rKRk16r/2eBJ2fe23nFJMZlcE+Nb4r+Udas3cDT0f0tQJCUl4T9/MUGBu4iLi8PZ1Ynho77H/vOSap6I+w+YO3seJ0+c4mXCS1zdXBjsMxCHcg5qnuvXrvPjlJlcvHCJPHnz0LLVl3j17UW2bNn+zUP8aCyz5zK4jLJzm2Y47+Vv9+pd/pw5czh79iwnTpzA19eXdu3aERQUxKhRozhy5Ai5c+cGYOvWrUydOpVjx45hYWFB48aNqV+/PsOHDwfg9evXNGzYkDZt2jBgwACjlCGMQ4In8cn4LwZP4uP5vxw8iQ9njOCp3LxmGc57acgevco+deoUAwcOJDAwEE9PTzV4mjBhAhcvXtQaxrtz5w4NGzZk48aNlChRgho1arBs2TLq1PnfYqnff/89jx49YvXq1UYpQxiHzHkSQgiRpXysCePR0dEMHz6csWPHUriw9jzGyMhI7OzstNIKFny79teDBw+IjIwESDVPRESE0coQxiFznoQQQmQp+sRE0dHRREdH66Tb2NhgY2OjlTZx4kRcXFxo0aKFTv6EhASsrKy00szN396J+/LlS+Lj47XSUuZJTEw0WhnCOCR4EkIIkaXocxfd2rVrWbhwoU76wIEDGTRokPo8MDCQ0NBQgoKCUi3HwsJCJ4BJfm5paakuYppaHktLS6OVIYxDgichhBBZij7DcT169KBVq1Y66e/2Om3bto3Hjx/j6emplT5p0iTWrFlDlSpVuHRJ+0fCk9fnsrOzo0iRImqag4ODVp5ChQqp+QwtQxiHBE8iXV26dMlw3oCAgI9YEyGEMJw+w3apDc+lZtasWSQkaP9+YKNGjRg4cCDNmzfn7NmzbN++nejoaLW8EydOYGVlRfny5TE3N8fe3p6TJ09Sq1Yt4O2dcmFhYXTo0AGAKlWqGFyGMA4JnkS6Pvvss8yughBCGM3HWDk8rZ6dfPnyUbRoUQoUKMDcuXPx8fHh+++/5/79+8yePZtevXqpc5R69+6Nr68v9vb2ODk5sXLlSl68eKGuodegQQODyxDGIcGTSNe0adMyuwpCCGE8mfCzKzly5GDFihVMmjSJ9u3bY2NjQ4cOHbTWXmrfvj2xsbHMmzePZ8+eUaFCBVatWqWupWeMMoRxyDpPQm+PHj3i5s2bvH79Wk1LTEzkr7/+YvDgwR9crqzzJFKSdZ5EaoyxzpPbct05TGk5/fWO9DOJLEd6noReAgMDGTduHK9evcLExARFUdQu8KJFixoUPAkhxL9BfvBXGEoWyRR6WbZsGc2bNyc4OJhcuXKxbds2/P39KViwoNZtu0II8an6WItkiqxDep6EXsLDw1mwYAElS5bEwcGBJ0+eUK9ePZKSkliyZAktW7bM7CoKIcR7SVAkDCU9T0Iv5ubm6l0dJUqU4MqVKwA4Ojpy+/btzKyaEEJkiIlJxh9CpEaCJ6EXR0dHNm/eDECZMmU4cuQIANeuXcPMzCwzqyaEEBkiw3bCUDJsJ/QyaNAg+vTpQ758+WjVqhX+/v40btyYqKgovvjii8yunhBCpEufn2cRIjUSPAm9VK5cmZCQEBITE8mXLx8bN25k8+bNFC5cmG7dumV29YQQIl3SoyQMJcGT0FvKlXRLly7N2LFjM7E2QgihH4mdhKEkeBJ66d69+3u3r1u37l+qiRBCfBjpeRKGkuBJ6OXd329KSkri9u3b3Lx5M93ASgghPgUSPAlDSfAk9DJz5sxU0/38/IiOjv6XayOEEPqT4EkYSm45EEbRtm1bdu/endnVEEKIdJmammT4IURqpOdJGMX169eR35gWQvwnSM+TMJAET0Ivw4cP10mLjY3l2LFjNGnSJBNqJIQQ+pFhO2EoCZ6EXiIiIrSem5iYYGZmhpeXF7169cqkWgkhRMbJaJwwlARPQi/r169Pc9vDhw+xsrL6F2sjhBD6k54nYSiZMC70Uq5cOZ48eaKTfv/+fRo1apQJNRJCCP1kMzXN8EOI1EjPk0jXnj17OHToEACKouDr60uOHDm08ty9exdLS8vMqJ4QQuhFQiJhKAmeRLpcXFwICAhQ76a7e/cu2bP/79QxMTHBysqKadOmZVYVhRAiw0xl2E4YSIInka4iRYoQEBAAQLdu3fD398fGxiaTayWEEB9G5jwJQ0nvpdDL+vXrOXXqFH/88YeaNnbsWA4cOJCJtRJCiIwzNTHJ8EOI1EjwJPSydetWhgwZwr1799S0xMREBgwYwJ49ezKxZkIIkTEmJiYZfgiRGhm2E3pZuXIlEyZMoF27dmrajBkzqFSpEosXL6ZZs2aZWDshhEhfdgmKhIGk50noJSIigqpVq+qkV69enTt37mRCjYQQQj/S8yQMJcGT0EvRokU5fvy4TnpYWBgFCxbMhBoJIYR+ZM6TMJQM2wm9dOnShalTp3Lnzh2cnZ0BOH/+POvWrWPQoEGZXDshhEifhETCUBI8Cb106dKFhIQE1qxZw/LlywEoWLAgw4YNo3HjxplcOyGESJ/0KAlDybCd0JuXlxeHDh3i2LFjhIaGMnPmTE6dOkXdunUzu2pCCJGuj/XzLJGRkXz33Xd4eHjg6upK3759uXbtmrr90qVLdOvWDRcXFzw9PVm5cqXW/m/evGH+/PnUqlULZ2dnevfuze3bt7XyGKMMYTgJnsQHiYmJISgoiPbt29OzZ0/++OMPWrVqldnVEkKIdH2MOU+KovD111/z4MEDVq5cyc8//4yFhQU9e/bkxYsXPHnyhJ49e1KiRAm2bdvGkCFDmD9/Plu2bFHL8Pf3Z9OmTfj6+vLTTz+RLVs2vLy8ePnyJYBRyhDGIcN2Qi/nz59n8+bN7Nmzh/j4eExMTOjevTve3t7ky5cvs6snhBDp+hiDdo8ePaJUqVIMHjwYe3t7AL755htatmzJ1atXOXHiBGZmZkycOJHs2bNTqlQpbt++zbJly2jfvj2JiYmsWrWKYcOGUadOHQD8/PyoWbMme/fu5auvvmLLli0GlyGMQ3qeRLoSEhL4+eefadOmDe3atSM4OJhGjRqxdOlSsmXLRrt27SRwEkL8Z3yMnidbW1v8/PzUwOnRo0esXLmSggULotFoCA0NpXLlylq/C+rh4UF4eDiRkZFcunSJuLg4raVgrK2tKV++PKGhoQBGKUMYh/Q8iXTVrl2bN2/eULt2bby9vfH09MTc3BxA/bFgIYT4r9AnKIqOjiY6Olon3cbGJs3f+Bw5ciQ7duzA3NycxYsXY2VlRWRkJKVLl9bKl7y8S0REBFFRUQAUKlRIJ09ERASAUcoQxiHBk0hXUlISuXLlwsLCglevXpGUlKQGT0II8V+jz+KXa9euZeHChTrpAwcOTHN5Fi8vL7p06cLGjRsZMGAAAQEBJCQk6LSbyc9fvnxJfHy8VlrKPImJiQBGKUMYhwRPIl1HjhwhODiYn3/+me3bt2NhYUGdOnVo1qyZrMArhPjPyaZHu9WjR49Ub4ZJq9cJoEyZMgBMmTKFv/76i/Xr12NhYaETwCQ/t7S0xMLCQk1LGfwkJiZiaWkJYJQyhHFI8CTSlTNnTlq1akWrVq24desWP//8M7/88gshISGYmJiwcuVK+vTpQ6lSpTK7qkIIkS59hu3eNzyXUlRUFCdOnKB58+bql0pTU1NKly5NZGQkdnZ26rBayn0A7Ozs1CkQUVFRWFtba+VJHqozRhnCOGTCuNBLyZIlGTZsGAcOHGDRokXUr1+foKAgmjdvTq9evTK7ekIIka6PMWE8IiKCYcOGERYWpqa9evWKixcvUqpUKapUqUJYWBhJSUnq9uPHj1OyZElsbW0pW7Ys1tbWnDx5Ut0eGxvLxYsXcXd3BzBKGcI4JHgSH8TU1JR69eqxcOFCDh48yLBhw3S+EQkhxKfoY/wwcMWKFfHw8GD8+PGEhoZy9epVRowYwbNnz+jZsydt2rQhPj6e0aNHc/36dQIDA1mzZg3e3t7A23lJXbt2xc/Pj/3793P58mV8fHwoVKgQjRo1AjBKGcI4TBS5XUp8IkwaFsvsKohPiLLvLgBxSTGZXBPxKbHMnsvgMgYfGJrhvPPrzM5w3ufPnzNr1iz++OMPYmJiqFy5MsOHD8fBwQF4u07elClTuHDhAra2tvTs2ZPu3bur+79+/Ro/Pz+2b99OfHw8lSpVYsKECRQvXlzNY4wyhOEkeBKfDAmeREoSPInUGCN4GnJwWIbzzqs9y+DXE//3yIRxIYQQWUp2PX+zToh3SfAkPhnJPQ1CpGSMngYhUpIlVoShJHgSQgiRpZh+lF+3E1mJBE/ik5HwOi6zqyA+IRbZ3i7qJ+eFSCn5vDCE9DwJQ0nwJIQQIkvRZ/0mIVIjwZMQQogsxdREJowLw0jwJIQQIkuRnidhKAmehBBCZCkm8uMawkASPAkhhMhSpOdJGEqCJyGEEFmK3G0nDCXBkxBCiCzFRNZ5EgaS4EkIIUSWkk1+nkUYSIInIYQQWYqpTBgXgQgimAAAGPxJREFUBpLgSQghRJYic56EoSR4EkIIkaVI8CQMJcGTEEKILEV+GFgYSoInIYQQWYr0PAlDSfAkhBAiS8kmv20nDCTBkxBCiCxFfhhYGEqCJyGEEFmKDNsJQ0nwJIQQIkuRFcaFoSR4EkIIkaXIDwMLQ0nwJIQQIkuRCePCUBI8CSGEyFJMJHgSBpLgSQghRJYic56EoSR4EkIIkaXInCdhKAmehBBCZCmyVIEwlAz8CiGEyFJMMcnwQx+xsbFMnTqVevXq4erqSuvWrfntt9/U7Xfv3sXb2xs3NzeqV6/OzJkzSUpK0iojICCA+vXr4+TkRIcOHTh37pzWdmOUIQwnwZMQQogsxdQ0W4Yf+hg1ahR//vknvr6+BAYG0qhRIwYOHMixY8dITEzEy8sLExMTNm/ezOTJk/n5559ZsGCBuv/27duZOXMm3377Ldu3b8fe3p4+ffrw+PFjAKOUIYzDRFEUJbMrIQRAwuu4zK6C+IRYZLME5LwQ2pLPC0Osv7oyw3m7abwylO/hw4fUrFmTpUuX4unpqab36NGDAgUK4OnpyahRozhy5Ai5c+cGYOvWrUydOpVjx45hYWFB48aNqV+/PsOHDwfg9evXNGzYkDZt2jBgwACCgoIMLkMYh/Q8CSGEyFJMTEwy/MionDlzsnz5cipXrqzzWs+fPyc0NJRy5cqpQQ+Ah4cHcXFxXLhwgUePHnHr1i08PDzU7dmyZaNSpUqEhoYCGKUMYRwyYVwIIUSWos9SBdHR0URHR+uk29jYYGNjoz63tramdu3aWnnOnj3L8ePHGTt2LIcPH8bOzk5re8GCBQF48OABFhYWAKnmOX/+PACRkZEGlyGMQ4InIYQQWYo+PUpr165l4cKFOukDBw5k0KBBae5348YNBg4ciLOzMx06dGD//v1YWVlp5TE3Nwfg5cuXxMfHa6WlzJOYmAhAQkKCwWUI45DgSQghRJaiz110PXr0oFWrVjrpKXud3nXq1CkGDhxIkSJFWLp0KWZmZlhYWOgEMMnPLS0t1V6j1PJYWr6d52WMMoRxyJwnIYQQWYqpSbYMP2xsbChWrJjOI63gaefOnfTq1YsKFSqwfv168uTJA7wdSouKitLKm/zczs6OIkWKaKWlzFOoUCGjlSGMQ4InIYQQWcrHmDAOEBQUxPDhw2natClLly7F2tpa3ValShUuXbqkNX/qxIkTWFlZUb58efLly4e9vT0nT55Ut79+/ZqwsDDc3d2NVoYwjmwTJ06cmNmVEAIgSXmV2VUQn5DspmaAnBdCW/J5YYhLT//GJIP/yuetmKEyHzx4gJeXF5UqVWLixIm8fPn/2rvzqKbOvA/g3yBLWFVUwBWRKqJWcapIGZUOWLQub+u0YK0VQXzFdxQVO8UF1FNx67SKFKniAFYqi0txKsWly7hUR7DaacsglnpUEBfAwQUKGgK8f3CakhKbXO6FYPL9eHJOefLkuT9zbs2X5z557mPU1NSgpqYGdXV1cHNzw+HDh5Gbmws3Nzf88MMPWL9+PYKCguDt7Q2gaW1SfHw8HB0dYWZmhi1btqCoqAgbN26EpaUlnJ2dRY9B0uCaJyIiMiptcXuWzz//HLW1tcjNzcW4cePUnvvDH/6AjIwMJCUlYd26dQgMDISdnR1mzJihtvdSYGAgqqurERcXh/v372Po0KFISUmBvb09AMDCwkL0GCQNbpJJHQY3Q6TmuEkmaSLFJpmHrmXq3He6y+uij0eGhzNPRERkVExkwm67QvRbDE9ERGRU2uKyHRkXhiciIjIqQnYYJ9KE4YmIiIyKCWeeSCSGJyIiMiqceSKxGJ6IiMiocM0TicXwRERERoXftiOxGJ6IiMioCLkxMJEmDE9ERGRUeNmOxGJ4IiIio8IF4ySWib4LIKImeefyMGvGbHiO9MIkv5fwYfwO1NfX67ssaic1P9dg4/rN+NM4Pzw/6o9Y8L9/wY+Xf1Q9/+jRI8Rv246pE/8HXs95I/DPr+PY0eN6rPjpJZPJdH4QacKZJ6IO4N/ffoe/hC3C5KkvYXFEOAoLCpEQ/yFMTEywYGGYvsujdrBs6V/x3bff4f8WLsBAt4E48tkRhMwORfr+vejv0h8b1m3Eia9OYOHihXBx6Y+TJ05h+VsrIIMME1/y13P1T5dOXDBOIvHGwNRhGPMNYIPfnAsbWxts3/GBqm3b1jjkf5+P5D1JeqxMf4zpxsCXCi5hZsAsRK+NQsCM11TtQW/MgaOjI1auXoE/jfXD2pg1+POr01XPL1oQjsp795C+b68+ytYLKW4MfPr2Fzr3Hd/zRdHHI8PDmSciPausrMR3//4O2+K3qrUvXbZETxVReyu+XgwA8B7rrdbuMdIDnxzIQs3PNQiY8Rq8vZ9Xe97ZxRn/yf9Pu9VpKHg5jsTimiciPfup6AoaGxthaWmJ8L8swWiPMXhhrC92bN+JhoYGfZdH7cDRyQkAcOf2bbX2mzdvorq6Gra2toheGwWnnk6q5+rr63H263+hv4tLu9ZqCGQC/hBpwvBEpGf37t0DAEStXA0Xl/5ISNyOGa8H4u+JSfgoZY9ea6P2MezZoXDu74wN6zah4D8FePiwCgf2HcSZ02cBALW1tS1es2P7Tly7eg3BoXPau9ynHheMk1i8bEda+fj46PyPyMmTJ9u2GAOkrFMCALz/6I1lb0cAADzHjMa9+/fx951JmBMShE6duMDVkJmbm2Nr3BasjFyJNwLfBACM8BiO4LlzsPPDRMgt5Wr9U5J24++JSQgKno0X/uSjj5KfaiacNyCRGJ5Iq8jISKxatQoDBgyAn5+fvssxOFZWTQtg//ib9S7PPz8G+9L34dbNW+jbr68+SqN29MxAVxw4tB93bt+Bsr4effr0xs6ERJiYmMDGxgYA0NjYiPf/tgV796RhxsxAVdgmYUxkDE8kDsMTaTVlyhRYWFggIiICmzZtwuDBg/VdkkHp69wUjOrq6tTalcqmGSleOjB8tbW1+PKLrzDGy1NtXVNRURGeGegKU1NTNDQ0IHrlGuRk52De/FCEL12kx4qfbvx/isRi/CadTJgwAVOmTEFsbKy+SzE4rq4D4ODogC+Oq399+vSpM+jh0AO9evfSU2XUXkxNTbH+nQ04duTXTS9LS2/izOmz8Hmh6bLclr9tRU52Dt6KXMbgJBIXjJNYnHkinUVHR6O0tFTfZRgcExMTLF66CNEr12D9Oxvwov8E5J7LQ/an2YhaswomJvwdx9CZmZnhz69OR1JiMuzt7WFjY41tWz9A165d8eacWSi8VIi0j9Ph5e0Fj5Ej8MP3P6hea2LSCcOeHarH6p8+DEUkFjfJpA7DGDZD/D1Hc44iaVcKSopL4OTkiDlz5+C1wFf1XZbeGNMmmUDT7Vc+iI3H8aOf47HiMTzHjMayv0agT98+2LF9J3Z+mKjxdZaWlsi9+K92rlZ/pNgk88Jd3d+vUd29tXcio8PwRB2GsXxIkm6MLTyRbqQITxfvntO573Pdn9feiYwOL9sREZFR4bftSCyGJyIiMipc80RiMTwREZFR4VYFJBbDExERGRXOPJFYDE+k1axZs3Tum5aW1oaVEBGJ1x7hKTExESdPnkRGRoaqrbS0FDExMfjmm28gl8sxffp0REREwNT014/itLQ0pKSkoKKiAu7u7oiKisLw4cMlHYPEY3girfr166fvEoiIJNPWC8bT0tIQGxuLkSNHqtoUCgVCQ0Ph4uKCzMxM3LhxA6tWrYKpqSkiIppus5OVlYX33nsPMTExcHd3R1JSEubNm4ejR4+iW7dukoxB0uBWBdRh8Cvp1By3KiBNpNiq4NL973TuO6SLh859y8rKsHbtWuTl5cHJyQldunRRzTxlZ2dj5cqVOHv2LDp37gwAOHDgADZu3Ihz585BLpdj4sSJ8PPzQ2RkJACgvr4eL774Il599VUsXLhQkjFIGpx5IsHu3r2Lq1evor6+XtWmUCjw/fffY/HixXqsjIhIu7a6bFdQUABra2scPnwYCQkJKC4uVj134cIFuLu7q0IPAIwZMwY1NTUoKCiAs7Mzrl+/jjFjxqie79SpE5577jlcuHBBsjFIGgxPJMg//vEPrF69GnV1dZDJZGhsbFR9c6V3794MT0TU4QkJTw8fPsTDhw9btNvZ2cHOzk6tzdfXF76+vhrHKSsrg5OTk1qbg4MDAODOnTuQy+UAoLFPfn6+ZGOQNLhTGAmya9cuTJ06FceOHYOtrS0++eQTJCQkwMHBAeHh4fouj4hIK5lMpvNjz5498PPza/HYs2ePoGM+evQI5ubmam2//Pz48WPU1taqtTXvo1AoJBuDpMGZJxLkxo0biI+PR//+/eHm5obKykr4+vpCqVRi586dePnll/VdIhHR7xIy8zRnzhxMnz69RftvZ520kcvlLQLMLz9bWVmpZo009bGyspJsDJIGZ55IEHNzc9VvNc7Ozvjxxx8BAMOGDVO7vk9E1FGZyEx0ftjZ2aFPnz4tHkLDk5OTE8rLy9XafvnZyckJvXr1Umtr3sfR0VGyMUgaDE8kyLBhw5CZmQkAGDhwIM6ePQsA+Omnn2BmZqbP0oiIdCQT8JDG6NGjUVhYqLZ+Ki8vD9bW1hgyZAjs7e3h4uKC8+fPq56vr6/HxYsX4enpKdkYJA2GJxIkPDwcaWlpSE5OxrRp01BQUICJEydi6dKlmDBhgr7LIyLSSsiaJ6lMmDABjo6OiIiIwOXLl/HPf/4TW7ZsQUhIiGo2f+7cudizZw+ysrJw5coVREdH4+eff0ZAQIBkY5A0uOaJBBk1ahSOHz8OhUIBe3t7pKenIzMzEz179sTs2bP1XR4RkVb6uD2LhYUFkpKSsG7dOgQGBsLOzg4zZsxQ23spMDAQ1dXViIuLw/379zF06FCkpKTA3t5esjFIGtwkkzoMboZIzXGTTNJEik0yr1UV6dzXxXaQ6OOR4eHMEwkSFBT0u8+npqa2UyVERK0j5eU4Mk4MTyTIb7+xoVQqUVxcjKtXr2oNVkREHYEJl/uSSAxPJMh7772nsT02NlbjLrxERB0NZ55ILMZvksRrr72GnJwcfZdBRKSVTMAfIk0480SSuHLlCvjdAyJ6GnDmicRieCJBIiMjW7RVV1fj3LlzmDRpkh4qIiIShjNKJBbDEwly+/ZttZ9lMhnMzMwQGhqKkJAQPVVFRKQ7hicSi/s8kWQqKirQo0ePVr+e+/lQc9zniTSRYp+nO7U3dO7rZNlX9PHI8HDBOAni7u6OysrKFu23bt2Cv7+/HioiIhKq/e9tR4aFl+1IqyNHjuDrr78GADQ2NmL9+vWwsLBQ61NaWgorK/G/ERIRtTVGIhKL4Ym08vDwQFpamurbdKWlpTA1/fXUkclksLa2xqZNm/RVIhGRAIxPJA7XPJEgs2fPRkJCAuzs7CQfm2tbqDmueSJNpFjzVP7ols59HeS9RB+PDA/XPJEgH3/8Mb755hucOHFC1RYdHY1Tp07psSoiIt1xk0wSi+GJBDlw4ACWLFmCmzdvqtoUCgUWLlyII0eO6LEyIiLdMDyRWLxsR4JMmjQJoaGhCAgIUGvft28f9u7di+zs7FaPzcsz1Bwv25EmUly2u/vojs59u8udRB+PDA9nnkiQ27dvw8vLq0W7t7c3SkpK9FAREZEwMplM5weRJgxPJEjv3r2Rm5vbov3ixYtwcHDQQ0VERETti1sVkCCzZs3Cxo0bUVJSghEjRgAA8vPzkZqaivDwcD1XR0SkHdcykVhc80SCJScn46OPPkJFRQUAwMHBAWFhYZg4cSK6d+/e6nG5toWa45on0kSKNU/3Hlfo3LerRetvOUWGi+GJWu3evXswMzNDQUEBMjIy8NVXXyE/P7/V4/FDkppjeCJNpAhP9xV3de7bxbz1vxCS4eJlO2qVqqoqZGdnIzMzE9euXYO5uTmmT5+u77KIiHTAy3YkDsMTCZKfn4/MzEwcOXIEtbW1kMlkCAoKQlhYGOzt7fVdHhGRVoxOJBbDE2n16NEjfPbZZ8jIyEBBQQGsra3h7++PyZMnY+HChQgICGBwIqKnCOMTicPwRFqNHz8eDQ0NGD9+PMLCwvDCCy/A3NwcAMAlc0T0tOH+TSQW93kirZRKJaytrSGXy1FXVwelUqnvkoiIWo23ZyGxOPNEWp09exbHjh3DwYMHkZWVBblcDh8fH0yePJm/wRHRU4j/bpE43KqABLl+/ToOHjyITz/9FBUVFZDJZHjllVcwb948uLq6ihqbX0mn5rhVAWkixVYF1XUPdO5rY9ZZ9PHI8DA8Uas0NDTg5MmTyMrKwsmTJ1FfXw8vLy/s3r271WPyQ5KaY3giTaQITz8rH+rc19rUTvTxyPAwPJFolZWVOHToELKyspCTk9PqcfghSc0xPJEm0oSnKp37Wpvaij4eGR6GJ+ow+CFJzTE8kSZShKcaZbXOfa1MbUQfjwwPF4wTEZFR4RddSCyGJ+owpPiNkgwPzwsi6mh42Y6IiIhIAG6SSURERCQAwxMRERGRAAxPRERERAIwPBEREREJwPBEREREJADDExEREZEADE9EREREAjA8EREREQnA8EREREQkAMMT0e/w9fWFm5ub6uHu7o5Ro0YhODgY3377reTHKy4uhpubG/Ly8gAAK1aswMyZM3V6bWNjIw4dOoT//ve/T+zT0NCADz74AOPGjcOIESMwd+5cFBcXS1K7sTC0c6K5xMREnccmMmYMT0RazJkzB2fOnMGZM2dw6tQppKenQy6XY+7cubh161abHjsqKgo7duzQqW9ubi5WrFiB2traJ/ZJSEhARkYG1q9fj3379qFTp04IDQ3F48ePpSrZKBjSOfGLtLQ0xMbGii2PyCgwPBFpYWlpiR49eqBHjx5wcHDAoEGD8M4776C2thZffPFFmx7b1tYWXbp00amvtttUKhQKpKSkYNGiRfDx8cHgwYMRGxuLu3fv4ujRo1KUazQM5ZwAgLKyMixYsADvv/8+XFxcxJZHZBQYnohawdTUFABgYWEBoOlSzubNmzF16lR4enri9OnTAICDBw/ipZdewrPPPotJkyZh165dUCqVqnGKiooQFBQEDw8P+Pv74/z582rH+e0lmhs3biA8PByjRo2Cp6cnwsPDcefOHeTl5SEkJAQA4Ofnh/j4+BY1FxYWoqamBl5eXqo2GxsbDBkyBBcuXJDonTFeT+M5AQAFBQWwtrbG4cOHMWLECOneECIDZqrvAoieNmVlZdi8eTOsrKwwfvx4VfvevXuRkJCA7t27Y8CAAUhPT8e2bduwevVqeHh4oKioCDExMbhx4wZiYmJQVVWF4OBgDB8+HPv370d5eTmio6OfeNyqqirMmjULrq6u2L17N8zMzBATE4MFCxZg//792LZtG5YuXYoDBw7A1dVVY90A4OjoqNbu4OCA27dvS/TuGKen9ZwAmkKer6+v5O8JkSFjeCLSIjk5GampqQAApVIJhUKBAQMGYNu2bejVq5eq39ixY+Hj46P6eefOnQgLC8O0adMAAH379oVCocCyZcuwbNkyHD9+HDU1NXj33XfRuXNnDBo0CCtWrMCSJUs01pGTk4MHDx5g69at6Nq1KwBgw4YN2L9/PxQKBTp37gwAsLe3h7W1dYvX/7LuxdzcXK3d3NwcCoWitW+PUTKUc4KIWofhiUiLgIAABAcHAwBMTEzQpUsX2Nratujn7Oys+u/KykqUlZUhLi4O27dvV7U3NDSgoaEB169fR1FREfr27av6gAOAkSNHPrGOoqIi9OvXT/UhCQD9+/dHZGSkTn8PuVwOoGntU/MApVAoYGVlpdMY1MRQzgkiah2GJyIt7Ozs1D4En+SXcAI0fSACwPLlyzF27NgWfR0dHZGdnd2i3czM7Inj/95zuujZsycAoLy8HDY2Nqr28vJyPPPMM6LGNjaGck4QUetwwThRG+jWrRu6deuGkpISODs7qx5Xr17Fli1boFQq4e7ujuLiYlRWVqpel5+f/8QxXV1dUVJSggcPHqjarl27htGjR+PKlSuQyWS/W9PgwYNhY2OjtgC5uroaly5dgqenp4i/LemiI54TRNQ6DE9EbUAmk2H+/PlIS0tDamoqSkpKcOLECURFRQFo+pbblClT0L17d7z11lu4fPkyzp8/j02bNj1xzGnTpqFr1654++23UVhYiEuXLiEqKgrOzs5wdXVVrWkpLCxEVVVVi9ebm5vjzTffRGxsLL788ktcvnwZERERcHR0hL+/f9u8EaTSEc8JImodhieiNhIcHIzo6GhkZGRg8uTJWLt2LaZNm4Z3330XAGBlZYXU1FSYmZnh9ddfx/LlyzF//vwnjmdpaYnk5GQAwBtvvIGQkBD07NkTO3bsgEwmw+DBg+Hr64uIiAjExcVpHGPx4sUICAjAmjVrMHPmTDQ2NiIpKanFInJqGx3xnCAi4WSNuuyiRkREREQAOPNEREREJAjDExEREZEADE9EREREAjA8EREREQnA8EREREQkAMMTERERkQAMT0REREQCMDwRERERCcDwRERERCTA/wOhw9dxBcCGRgAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8754,6 +9660,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9852116813522799\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8761,14 +9668,37 @@
       "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55670  1193]\n",
+      "[0]\tvalidation_0-error:0.034783\tvalidation_1-error:0.034936\n",
+      "[5]\tvalidation_0-error:0.022308\tvalidation_1-error:0.015853\n",
+      "[10]\tvalidation_0-error:0.01838\tvalidation_1-error:0.013149\n",
+      "[15]\tvalidation_0-error:0.015548\tvalidation_1-error:0.011218\n",
+      "[20]\tvalidation_0-error:0.013027\tvalidation_1-error:0.010253\n",
+      "[25]\tvalidation_0-error:0.010332\tvalidation_1-error:0.008936\n",
+      "[30]\tvalidation_0-error:0.008727\tvalidation_1-error:0.008199\n",
+      "[35]\tvalidation_0-error:0.007652\tvalidation_1-error:0.007742\n",
+      "[40]\tvalidation_0-error:0.006505\tvalidation_1-error:0.006987\n",
+      "[45]\tvalidation_0-error:0.005834\tvalidation_1-error:0.006566\n",
+      "[50]\tvalidation_0-error:0.005074\tvalidation_1-error:0.006145\n",
+      "[55]\tvalidation_0-error:0.004381\tvalidation_1-error:0.005425\n",
+      "[60]\tvalidation_0-error:0.003818\tvalidation_1-error:0.005126\n",
+      "[65]\tvalidation_0-error:0.003326\tvalidation_1-error:0.004635\n",
+      "[70]\tvalidation_0-error:0.003003\tvalidation_1-error:0.004389\n",
+      "[75]\tvalidation_0-error:0.002891\tvalidation_1-error:0.004301\n",
+      "[80]\tvalidation_0-error:0.002818\tvalidation_1-error:0.004266\n",
+      "[85]\tvalidation_0-error:0.002809\tvalidation_1-error:0.004249\n",
+      "[90]\tvalidation_0-error:0.002801\tvalidation_1-error:0.004249\n",
+      "[95]\tvalidation_0-error:0.00279\tvalidation_1-error:0.004249\n",
+      "[99]\tvalidation_0-error:0.002785\tvalidation_1-error:0.004249\n",
+      "[[56631   232]\n",
       " [   10    88]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAERCAYAAAAudzN9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd3xN9//A8dfNktXQVIZVUiMiIWIFRSJqlBihKJEYCWqPqr1KjFqxib2CoqFSo61W0ZSQmN80rVUjSmImIkvi/v7wy60rN8kN4bq8nx738XA/53M+53PuPTnv+xnnHIVSqVQihBBCvGEMdF0BIYQQQhMJUEIIId5IEqCEEEK8kSRACSGEeCNJgBJCCPFGkgD1FpCJmG+H1/E9yrEi9InWASomJobRo0fj5eVFtWrV8PLyYvTo0Vy+fPmVVe748eO0atUKFxcXWrZsWWjlLlq0CEdHRzIzMwutzNyEhYXh6OiIo6Mjf/31l8Y858+fV+WJi4srUPnbt29n+vTp+ebz8vJixIgRBSr7ea/q+wBISEigbt26tGrVirS0tBzL9+3bh6OjI9u3b1dLf/jwIStWrKBDhw64u7tTrVo1mjdvzrRp04iPj1fLm/29P/tydXWlVatWrFq1iidPnhTqPmkrKSmJ0aNHc+zYsUIrMy4uTu3zysjIYObMmezatUuVx8/Pjy5durxQ+Tdv3mTixIk0btwYFxcX3N3dCQwM5NChQ2r5Xvb4v3//PvPmzaNVq1a4urri7u5O165d2bFjB1lZWap8kZGROb5bTa/IyEiAfPONHj36hT6XN0X25/HHH38A/30PV69e1XHNCsZIm0xbt25l6tSp1KhRg0GDBmFnZ8f169dZv349HTp0YNWqVdSsWbPQKzdz5kxSU1NZsmQJxYoVK7RyO3ToQL169TAy0mr3C4WBgQH79u2jcuXKOZb98MMPL1zusmXLqFGjRr75FixYgKWl5QtvB17d9wFga2tLUFAQAwYMYNasWUycOFG17MqVK4wbNw5vb286duyoSr948SJ9+/bl0aNHdO3aFVdXV4yNjfnzzz/ZsGEDe/bsYfPmzZQrV05tWxs3bsTA4Olvs0ePHnHy5Enmzp1LamoqgwYNKtT90kZsbCw7d+6kTZs2hVamra0toaGhqn1PSEhg7dq1BAUFvXTZt2/fpmPHjnzwwQcMGDCAUqVK8eDBA8LDw+nTpw+TJk2ia9euauu8yPF//vx5AgMDefLkCb6+vlSrVo3U1FR+//13Jk+ezA8//MDixYuxtLSkSpUqhIaGqtaNjY0lKCiIMWPG4OLiokp3dHRU/b9du3Zqx9OzihcvXqDP5E3n4eFBaGgo9vb2uq5KwSjzcerUKaWTk5Py66+/zrEsMTFR2bRpU6WXl5cyMzMzv6IKrHHjxsrhw4cXermv03fffaesVKmS0tfXV9msWTONeby8vJTt2rVTVqpUSXn9+vUCld+4cWPll19+WRhV1Wpbr/r7mDBhgrJSpUrKgwcPKpVKpTI1NVXZunVrZbNmzZTJycmqfOnp6Upvb2+lp6enMj4+Pkc5d+7cUTZs2FAZEBCgSlu4cKGyUqVKysePH+fIP3z4cGXdunULf4e0cOzYMWWlSpWUERERr2wb169fV1aqVEm5bds2VVq3bt2Un3/+eYHLWrx4sdLZ2Vn54MGDHMt69eqlrFmzpup88KLHf0pKirJx48ZKb29v5d27d3Osc/z4caWzs7Pyq6++0lhmfp9ppUqVlPPmzdNqf/XR6zimXod8u/hWrVrFe++9x1dffZVjmZWVFaNHj8bb25ukpCRV+t69e+nQoQNubm7Ur1+fCRMmcP/+fdXyRYsW0bRpU37//Xd8fHyoWrUqXl5erFu3Dvive+LGjRv88MMPODo6EhYWlmsztUuXLvj5+anex8bG0qtXL2rXrk316tXp2rUrERERatt/vovvZeucn08//ZQrV67w559/qqWfPn2aW7du0aJFixzrHDhwAF9fX9zc3HBxcaFFixZs3LhRtTz7MwoPD1f9Msyu54oVK3B3d6d+/frcunVLrYtv5syZODo6qn0mBw4cwNHRUeP+5PZ9wNPWzeDBg2nQoAGurq5069aNEydO5Fh3w4YNtG7dGldXVzZs2JDr5zRmzBg++ugjxo4dy71795gxYwZXrlxhwYIFWFhYqPLt37+f8+fPM27cOGxtbXOU88EHHzBo0CBKliypVdedphZhfvsGT7sYZ86cySeffELVqlVp1aoV27ZtU8uT1/EYFhaGv78/AD179tTYtfTXX3/h6OjIvn37VGkxMTE4OjoydepUVVpmZia1atVixYoVal18kZGRNGnSBIDx48er/a0ArFu3Di8vL6pWrYqPj4/acaHJ3bt3USgUGsezBg4cSL9+/Xj8+LFaekGP/507d3Ljxg0mT56MtbV1ju3Url0bf39/vv/+e65du5ZnfQtbeno6QUFBeHp64uLiQtOmTVm4cKHa+SQuLo6RI0fSoEEDnJ2dqVevHiNHjuTevXuqPH5+fowbN44VK1bQqFEjXF1dCQgI4Pbt2+zevZsWLVpQvXp1OnfuTGxsrGq90aNH06VLF8LCwmjcuDHVq1fH398/x2f7rOfPnaNHj6ZHjx7s3r2bTz/9VHV+2b17t9p6ly5donfv3tSoUYOPP/6YBQsWMGbMmBzH0KuSZ4BSKpUcOXKEevXqYWZmpjGPl5cXw4YN4/333wdg6dKlDBs2jCpVqhAcHEy/fv348ccf8ff3JzU1VbXenTt3GDduHJ999hnLli3D2dmZGTNmEBERoeqesLGxoUGDBoSGhuLh4aHVDiUnJ9OzZ0+KFCnC7NmzmT9/PsbGxvTt25fr169rXKcw6pyfevXqYW1trXaSgafdG9nLnvXbb78xYMAAKlasyKJFi5g/fz6lSpUiKCiIqKgogByfUbabN2+ya9cuZs2axYgRI3I064cNG0b58uWZOHEiqamp3L17lwkTJtCgQQO6d++eo+65fR8XL16kffv2XLlyhVGjRjFr1iwAevTowdGjR9XKmD17Np9//jnffPNNnt+lmZkZc+bMISkpicDAQLZu3cqYMWNydA39/PPPWFlZ4enpmWtZHTt2ZMqUKaruvGxPnjwhMzOTzMxMkpOTOXjwILt371b7o9Nm39LS0ujatSs7d+6ke/fuLF68GDc3NyZMmMDixYuB/I9HDw8Pxo8fDzwNzl988UWO/ahcuTIlSpRQjScAqv9nj6kAnDp1iocPH9K4cWO19atUqcKCBQsA6N27t2p7AGfOnOH777/nq6++Yu7cuaSlpTFgwAC1E+nzGjduTEZGBp06dWL16tXExsaqfgS4ubkREBCAqamp2joFPf4PHz7M+++/n+fQgbe3NwC//vprrnnyk30cPP/KS1BQED/99BNDhgxh5cqVtGnThqVLl7Jy5Urg6XHh7+/P+fPnGTt2LCtWrMDX15cffviBuXPnqpW1f/9+fv31VyZPnsyoUaM4duwY3bt3Z/ny5QwaNIipU6dy/fp1hg0bprbehQsXmD17Nv369WPmzJncv38fPz8/bt26pfW+x8TEsGjRInr37s2SJUsoXrw4I0eO5J9//gHg3r17dOvWjbi4OKZOncro0aPZs2cPe/bs0XobLyvPQZj79++TlpZG6dKltSosMTGRZcuW0b59e7Vfdo6Ojvj5+bF9+3bVr8WUlBTmz5+vOlnVrFmTgwcP8uuvv/Lxxx9Tq1YtTExMeP/996lVq5bWO3Tp0iXu37+vivoA1apVIyQkROPge2HWOS+GhoY0b96c/fv38+WXXwKQlZXF/v37GTFiRI5fnOfPn6dVq1ZMnjxZlVazZk3q1q3L8ePHqVWrVq6f0ePHjxk1alSugaBIkSJ88803fP755yxdupR//vkHpVLJzJkzUSgUOfKbmJho3NbUqVMxMjJi06ZNWFlZAU9/sHh7ezNr1ix27typKqNJkyb4+vrm+Rllc3Z2pk+fPixZsoQ6depoHMi/du0aZcqUyTGOmJWVleOXvaGhodp+Va1aNUd5bm5uqu8ZYPHixfnuW1hYGOfPn2fjxo3UqVMHeNrXn5WVRUhICF27duX69et5Ho9lypShUqVKAFSqVCnHeFk2Dw8Pjhw5onp/7NgxXFxciImJ4d69e1hbW3P48GFKly5NxYoV1SYbvPfee6pxmLJly6qNwxgaGrJ69WpVgChSpAh9+vTh9OnTeHl5aaxLw4YNmTp1KnPmzFEFbktLS+rUqUP79u1p2rRpjnUKevzHxcXle9758MMPVXlfxPLly1m+fLnGZeHh4arv5XlRUVF4eHjg4+MDPA2+lpaWqh/p//zzD7a2tkyfPp2PPvoIgI8//pj//e9/HD9+XK2s9PR0li5dqvr8f/nlF37//Xf27t1L+fLlAYiPj2f27Nncv39ftY2HDx+yYcMG3N3dgafHb9OmTVm3bp3WEzySkpLYsmULFSpUAMDBwYGmTZty8OBBHBwc2LhxI8nJyezcuVP1I9fNzU1jb8+rkmeAMjQ0BFCbLZOX06dPk5GRQevWrdXS69SpQ6lSpTh+/LjaSeDZX0dmZmYUK1aMlJQUrSuvScWKFbGxsaFfv360bNmSBg0a4O7uzpgxY3Re55YtW7Jlyxb+97//4eLiQmRkJA8fPuSTTz7J8cuyT58+wNNfY1euXOHKlSucO3cOeDojKz/PnoQ0qVq1Kn379mXZsmU8efKEpUuXYmNjo9V+ZDt+/DiNGjVSncABjI2N8fb2ZvHixTx8+FCVntsfuyYZGRn8+uuvKBQKTp8+zV9//ZWjBfXkyRONk1zatm3LhQsX1NKe/UMG2LZtm6pVlZ6ezsWLF1m2bBldunRhy5YtWFpaarVvx48fx87OThWcsrVr146wsDBOnTpFvXr1CnQ85qZx48Zs3bqVa9euYW9vT3R0NDNnzmT48OFERkby6aefcujQoVyDSm7Kly+v1nrJPuk/22WvSadOnWjbti3Hjh3j6NGjHD9+XPVjrWXLlsybNy/Hj52CHP9KpTLfSUzGxsYF2dUcOnTokOssxrJly+a63scff8zGjRtJSEjAw8ODhg0b0rNnT9VyJycntm7dilKp5Pr161y9epULFy5w+fLlHH+7Dg4Oap+/jY0NVlZWquAEqIJSUlKS6v8lSpRQO6bt7Oxwc3PLEQDzUrRoUVVwAlRBKPt8duzYMapXr67WA1O6dGnc3Ny03sbLyvMIKFq0KBYWFty4cSPXPOnp6SQlJWFjY0NiYiKgeQZM8eLFcxz0z3cDGBgYvPR1Gubm5mzZsoWQkBB+/PFHNm/ejImJCc2aNWPy5Mm89957avlfZ51r1aqFnZ0d+/btw8XFhR9++AFPT0+Ns+vu37/P119/zc8//4xSqaRs2bKqlos229NmFpKPjw9Lly6laNGi1K5dW6t9eFZiYqLGoJa97WcDVEGC34wZMzh//jyLFi1i3LhxjBgxgh07dqh99qVKleLMmTMolUq1E2FwcLCqpXz27FmmTJmSo3xnZ2e1k1+tWrWoUKECvr6+7Nixgx49emi1b4mJibkeN9l5Cno85ia7mz0iIgIHBwcyMzNp1KgRVapU4fjx49SoUYO///67wIHv+a777MCtzbhdkSJF8PDwULXUb926RVBQEHv37qVNmzY5uhoLcvyXLl2amJiYPLefPfZUsmTJfOuqiY2NjcbWdH5GjRpFyZIl+f7775kyZQpKpRInJyfGjx+v+htdv349ISEh3L17l+LFi+Pi4oKZmVmOXpxnx1WzPf+daOrVsLOzy5H2wQcf5Hmufp6mcxn8d365d++exh+6xYsX586dO1pv52XkO0miQYMGREZGauweg6fXpzRo0IBDhw5RtGhRAI2VT0hIUEX/F5X9RT3foktOTlZ7X6ZMGYKCgoiIiGDXrl306NGDffv2ERwcnKPMV13nZxkYGNCiRQv2799PRkYGP//8s6of/Xlffvklp06dYu3atZw+fZp9+/YxduzYQquLUqlk4sSJlChRAkDjiTw/RYsW5fbt2znSExISAM0TD/KTfRL/4osvaNq0KZMnT+bChQt88803avmaNGnCvXv3clw7VLFiRapWrUrVqlVxcHDQertVqlQBUPW/a7NvRYsWzfW4gf9++RbkeMxNkSJFqFu3Ln/88QeRkZFUrVoVc3NzVZfv4cOHee+99wrUHf4isrKyaNSoEXPmzMmxzN7eXtVNfvHixRzLC3L8N2nShNu3b6vGWzXJbnUVtNX4soyNjenVqxfff/89ERERzJgxg+TkZPr3709GRgbh4eFMnz6dXr16cfToUSIiIggJCdHYfasp+Gjj2Qlc2W7fvs0HH3zwQuVpYm9vz927d3Oka0p7VfINUL169SIxMVHjAfngwQOWLFmCvb09H3/8Ma6urpiYmBAeHq6W78SJE9y8efOlr5XK/qV18+ZNVdrt27dVJxV4OuhYt25dEhISUCgUODk58eWXX/LRRx9p/HXxquv8vJYtWxIXF8eKFStQKpW5jhNFR0fzySefUKdOHUxMTABUF0E+24J6fgKAtkJDQ/njjz+YOnUqX331FeHh4fz4448FKqN27docPnxYrZWZmZnJ3r17qVKlCubm5gUqLy4ujvHjx+Pm5saAAQOAp59XmzZt2Lx5s9pguLe3N+XLl2fSpEm5Dgw/O/MpP6dOnQJQnUS02bfatWsTHx+fY2bf7t27MTIywtXVVavjMbsrPT+enp5ERkZy4sQJ6tatC0DdunW5ePEiYWFhNGzYMNduL223kR9DQ0NKlSrFzp07NQbwS5cuAbl36Wp7/Ldp0wYHBwcmTpyoccLGqVOnWLVqFa1atcp13O5VSEtLo3nz5qxatQp42mpp3749Xbp0ITExkeTkZKKjozE3NycwMFDVfZedXlgXg1+7dk3twuf4+HhOnz6tOi4KQ+3atTlz5oza31dCQgKnT58utG3kJ98rVatXr87QoUMJDg7m8uXLtG3bluLFi3Px4kXWr1/P/fv32bBhA0ZGRhQrVow+ffqwePFijI2NadKkCXFxcSxcuBAHBwc6dOjwUpWtV68e5ubmzJw5kyFDhpCRkUFISIhaN0mNGjVQKpV88cUXBAYGUrRoUY4cOcKFCxcIDAzMUearrvPzqlevTqlSpVi+fDmtW7dWBZ/nVatWjR9++AFnZ2fs7e05efIkq1atQqFQqI15WVlZ8ffff3P06FG1Pum8XL16lTlz5uDj40ODBg2Ap4PCkyZNolatWlr/Chs4cCCHDx+mW7du9OnThyJFirBx40auX79OSEiIVmVke/z4McOGDUOpVDJ37ly1E+qkSZOIjo5m7Nix7N69G1tbW8zMzFiyZAn9+/endevWfPbZZ9SsWRNzc3MuX75MeHg4p0+fxs3NLUdL6uTJk2rdGZcuXWLx4sXY2tqqBr612bf27duzefNmBg4cyKBBgyhTpgy//PILYWFhfPHFFxQrVkyr4zH7+D18+DA2NjZUrFhR42fUuHFjJk2axIkTJxg4cCDwdEzU2NiYkydPMnv27Fw/3+xtHDt2DCcnJ7WLVwtq3Lhx+Pv74+Pjg5+fH87OzsDT8dwNGzbg6elJo0aNNK6r7fFvamrKokWL6Nu3L23atMHf3x8XFxfS09OJiIjg22+/xdXV9YVa/tlu3bqVawvNxMSEatWqaayXs7MzS5YswcDAACcnJ+Li4li7di1169bF2toaV1dXtmzZQlBQEF5eXiQkJLBmzRru3LmjsUvvRSgUCvr378/QoUMxMjJiyZIlWFlZaZyF+6L8/f0JDQ0lICBA9YNx2bJlZGZmvnDLr6C0upXCF198gbOzM6GhocydO5f79+9jb29P3bp16devH2XKlFHlHTRoEMWLF2fTpk2EhYVRrFgxWrRowbBhw176y7G0tGTJkiXMmTOHoUOHYm9vT69evYiJiVH1R9va2rJmzRrmz5/PlClTePToEQ4ODkyfPp127dppLPdV1lmTli1bsnLlyhwTM541c+ZMpk6dqrqNUbly5Zg8eTJ79+4lOjpala9v375MmjSJ/v3752gFavLkyRNGjRqFhYWF2myfoKAgWrduzYQJE1i6dKlW+1GxYkU2b97MvHnzmDBhAvA0sK5fv77AY1pz587l7NmzzJs3j1KlSqkts7S0ZNasWfj5+TF69GhWr16NQqHAwcGBnTt3sn37dvbu3cvOnTtJTk6mePHiuLm50a9fPzw8PHL8MT07ndzIyIgPPviAevXqMXjwYFW3pDb7ZmZmxsaNG5k3bx5Lly7l4cOHODg4MHXqVDp16gRodzxWrFiRtm3bEhoayqVLl1TTlZ9nZ2dHlSpVuHjxomqg2szMjOrVq3Py5Mlcg0L2Z9i7d282bdrEX3/99VJThV1cXPj+++9ZsWIFO3bsYOnSparvo3///vj6+uZ5AtPm+Ienn0tYWBibNm0iPDycZcuWYWJiQsWKFZk4cSLt27d/qZbhrl271G799KzixYvnevlIUFAQCxcuZNOmTSQkJFCsWDGaNGnC8OHDgaeTZK5fv853333Htm3bsLOzw8PDAz8/P8aPH69x0k9B2djYMGDAAGbPns2jR4+oV68eo0eP1njN2IuysrJiw4YNTJs2jTFjxmBhYYGvry9HjhwpcO/Ii1IoX3ZWghBCiNdm9OjR/PHHHxw+fPiVbufkyZMkJiaqTXZ5/PgxjRs3pnXr1owaNeqVbh+0bEEJIYR4tyQkJDB06FD69u2Lu7s7KSkpbN++neTkZFUPwasmAUoIIUQOLVq0YNKkSWzevJn169djbGxM9erVCQ0NLdAM2ZchXXxCCCHeSPLAQiGEEG8kCVBCCCHeSDIGJYQQOqZoqt0NuQGUP7/YzXH1kQSoPBTkoBFvv+wTQ2rWIx3XRLxJzAwL4VrJ13Thq76RACWEELomgy0aSYASQghdkxaURhKghBBC1yQ+aSQBSgghdM1QIpQmEqCEEELXpItPIwlQQgihaxKfNJIAJYQQumYgEUoTCVBCCKFrEp80kgAlhBC6JmNQGkmAEkIIXZNZfBpJgBJCCF2T+KSRBCghhNA16eLTSAKUEELomszi00gClBBC6JrEJ40kQAkhhK5JC0ojCVBCCKFrEqA0kgAlhBC6JvFJIwlQQgihazKLTyN5jqMQQuiaQQFeBXD58mUcHR1zvLZv3w5AbGwsfn5+VK9eHU9PT1avXq22/pMnT1i4cCENGzbE1dWVXr16cfXqVbU8hVFGXh+LEEIIXVIotH8VwN9//42lpSW///672qt169bcu3ePHj16ULZsWb777juGDBnCwoUL2bZtm2r9JUuWsGXLFoKCgvj2228xNDQkICCA9PR0gEIpIy/SxSeEELr2iiZJnD9/nvLly2NjY5Nj2bp16zA2Nmby5MkYGRlRvnx5rl69yooVK+jUqRMZGRmsWbOGESNG4OHhAUBwcDANGjRg3759tGvXjm3btr10GXmRFpQQQujaK+ri+/vvvylfvrzGZVFRUdSqVQsjo//aKe7u7ly/fp34+HhiY2NJSUmhbt26quWWlpZUqVKFqKioQisjL9KCEkIIXStA111SUhJJSUk50q2srLCyslJLO3/+PGXLluXzzz/n2rVrlCtXjv79+9OgQQPi4+OpUKGCWn5bW1sAbt68SUJCAgB2dnY58ty8eROgUMrIiwQoIYTQtQL08K1fv57FixfnSB84cCCDBg1SvU9JSSEuLg5ra2u+/PJLLCws2L17N4GBgaxZs4a0tDRMTEzUysh+n56eTmpqqlras3kyMjIACqWMvEiAEkIIXSvAGFT37t3x8fHJkf5868nc3Jzo6GiMjY1VAcLFxYVLly6xatUqTE1NcwSJ7Pfm5uaYmpqq0p4NMBkZGZibmwMUShl5kQAlhBC6VoAuPk1debmxsLDIkVapUiUOHjxImTJlVF1w2bLf29vbo1QqVWmWlpZqebK79ezt7V+6jLzIJAkhhNAxhYFC65e2Tp06hZubG2fPnlVL/9///kfFihWpXbs20dHRZGZmqpYdO3aMcuXKYWNjQ+XKlbG0tOT48eOq5cnJyfz555/UqVMHoFDKyIsEKCGE0DGFQqH1S1suLi6ULl2aCRMmEB0dzaVLlwgKCuLUqVP069ePDh06kJqaytixY7l48SK7du1i3bp19O3bF3g6TtStWzeCg4M5cOAAf/31F8OGDcPOzo5mzZoBFEoZeX4uyuw2mMhB0bS0rqsg3iDKn+MASM16pOOaiDeJmWHObrSCMhrmqnXezOAzWueNj49n7ty5REREkJSUhLOzM8OHD1e1Xs6dO8e0adOIiYnBxsaGHj164O/vr1o/KyuL4OBgwsLCSE1NpWbNmkyaNIkyZcqo8hRGGbmRAJUHCVDiWRKghCaFEaBMhlfXOm/GvNMvvT19IZMkhBBCxwrSdfcukQAlhBA6ZmAg0wE0kQAlhBA6Jg0ozSRACSGEjkkXn2YSoIQQQsckQGkmAUoIIXRMIc9810gClBBC6Ji0oDSTACWEEDpm+IoeWKjvJEAJIYSOSQtKMwlQQgihYxKgNJMAJYQQOibxSTMJUEIIoWPSgtJMApQQQuiYBCjNJEAJIYSOyb34NJMAJYQQOiYNKM0kbL9lrN8rhvLnuByv7RNCVHk6e7bh7IoDpO65yPl1RxjYtmeOcga27cn5dUdI+eEiZ1ccoGMjb7XllUp/RPjUddzfGcOtbaeY3/9rLEzNNdbJ0MCQyEU/8OVnfQt3Z0WhysrKYuO6Tfh4t6duzfq09+7A1tCtZD8y7uHDh0ybMoNPGjWjfq0GDB0wjOvXrquVkfggkWlTZvBpk5Z8XLsh/l26E3k0Uhe7o1dexRN13wbSgnrLuJavAkCz0V1JSklWpd9Nug9AJ4/WbB6zmLk7VjBk6a80cWvAooFTSUp5yIafdwDwVad+TOs5kgnr5nDi/Gk6e7Rh67il3E68x29n/qCYZVEOfLOVG3dv0XXGIKzfK8bs3uMoZ1eadpMC1OpjZGjE+pHzqVO5OtsOhb+mT0G8iBXLVrJ21Tp6fxFINdeqnIw+xeyZc0lNS6NnQA/GfDWOv2P/YuiIwRQtWoyVy1cS2FsxhrgAACAASURBVKMP3+3ejqWlJUqlkhHDvuLqlWsMGNwfG1sbdu/cTb/eA1i7aTWu1bV/auy75l0LPNqSAPWWqebgxK17CfwcfVjj8lm9x7E0fAMjVwYBcPD0H5SzK0PTGo3Y8PMO3jO3ZFK3YYxZPZO5O562un49FYFjmfI0q9mI3878QZfGbbG3tqHmgE+5/eAuAIYGBqwfOZ9SxUtw487Np3X5yInlQ2biWLr8a9hz8TKePHnCpvWhdO/lT+8vAgFwr+fO/fv32bB2I408GvH74d+Zu2A2TZo2AaB8hY9o2dSbQ78eolWbVsT8709OREYRsnoZ7vXcAahbz51LFy+xaf1mCVB5MJAApZEEqLdMtY+cOPtPrMZlNStVo6xdaVbsCVVL7zZzkOr/zWp6YGpShFX7tqjl8fzyM9X/txz8nhN/n1EFJ4CMzMcAFDE2UaWtHzmfO4n3qD2wFZc2RLz4TolXLvlhMt5tW9HkEy+19HLlynH/3n1KlizBxi3rqVS5kmqZsYkxABmPn373BgYKfD7zoXqN/x5fbmBgQJkPy3Djxo3XsBf6y0BudaSR3gaoe/fu8e233xIVFcXNmzdJT0/H3Nwce3t76tSpQ8eOHSlWrJiuq/naVfvIibSMdCLm76JGRRfuJN5n4a41zN62jGoOTgAYGRry29wd1HOqQfz9O8zYuphl4RtU69+8l0D18s7M+2IiVR0qcyU+jtGrZhD2+14AHiQnEnX+DACmJqa4V3YjqMdXHDh5hMs3r6rq0m3mYGKu/P2aPwHxIqyKWjFm/Ogc6Yd+O4ydvR1m5mZUda0KQGZmJlevXGPerHl88MEHNG7iCUAV5ypMmlJFbf3k5GRORp3i44b1X/k+6DO5m7lmehmgzp07R2BgIBYWFtSqVQsnJydMTEzIyMggISGBLVu2sGbNGtauXUvlypV1Xd3XRqFQUOXDSjxKS2HEiqlcS/iXlnW8mNFrNKYmRUh/nEFmVia7p6xlafh6vt44D5+PP2Xp4OncTbrPtkPh2BS1xtLMnK3jljBl03z+jrtE4Kdd2D5hOR8Pbcex2JNq2/xz1a84lPiQu0n3GbGij9oyCU76LWzHTiKPRjJq7Ei19CkTp7J7VzgGBgZMDpqU5w/BGVNnkpycjF/3bq+6unpNxqA008sANW3aNLy8vJg2bZrG6weePHnCuHHjCAoKYtOmTTqooW4oFAq8J3TnWsK/XPr3CgC/nfkDSzNzRnXqz4ytizEyNGLF3lBmbFkMPB2DcrAvwyS/YWw7FI6xkTHFLIvi/80QNh74TpWnyoeVmNBtKK3G+atts3fwSIwMjRj+WW+OzAujwTAfzl7W3MUo9Mee8L1M+3o6nzT7hM99O6st6/h5R1q39ebXX35j4thJZGVl4dOhnVoepVLJjKCZ7Anfy6ixI6lc5d35ofgiJEBpppfTzGNjYwkMDMz14jYDAwMCAwOJiYl5zTXTrSdPnnDw9B+q4JRt/4nfsDAzV3v/rJ9PHqFS6Y8wNjImOfXR0zxR/+VRKpX8ejqCquVynmR+OfU7P0b9RpsJvUh89JDB7QJy5BH6ZeP6TYwfPYGGHg2ZMWtajpNn1Wou1HavzaixX9GkqRerV6xRW/444zGjvhzNti3bGTJ8MF26ff46q6+XFArtX+8SvQxQNjY2/P133t1HZ8+efefGoEp8YEfvlr4UL2qtlm5WxBSAK/FxAJgYGastNzY0QoGCJ0+ecPH/g5uJkYl6HiNjlDy9HsbdqQat6zVVW57+OJ2/rl+kVHH7Qtsf8fotDF7E3G/m0apNK+bMn6WaCBF3PY5d3+1SXROVrbJTZRLiE1Tv09LSGPjFIA789AvjJo6lZ2CP11l9vSXXQWmml118PXv2ZNy4ccTGxlKnTh3s7e3VxqCOHz/O+vXrGTp0qK6r+loVMTZhxbBvsDA1Y37YKlV6h4Yt+fv6JXYf/YnU9DQ6engTEXNCtbyVexNOnD9D1pMsfoo6BEDHRq1UZRgaGNKsZiP+iIkCoF395vRr7ceHXd1JSnkIPL1AuEaFqqzev/V17a4oZKEbN7Nm5Vq6+nXhq9Ej1E6GV69cZfKEKZQqXYra7rWBpy3rY38co0KlCqp8Y0eOIzrqJDNmT6f5p81e+z7oK7nVkWZ6GaB8fX0xMzMjJCSElStXqv0hKZVKHBwcGDduHB07dtRhLV+/K7eus/nXXUzt8RVPlEpir12gYyNvOjRoSbvJATxMSWb6lkVM9htO0qOHHDp7jM6ebfCoVpeW/z+2dOHGP6zet5XpvUajUCiIuXqeft5+lLUtxWdTnt4JYunu9fRp6Uv41LV88+1SzIqYMd53MBmZGcz7boUuPwLxgm7fvs2CuQupWKkCLVo259zZc2rL3eu5U821KhPHTmLgkAEUe78YO7/7ntOnzrA4ZBEAvx74lV8PHMS7rTclStpz9sxZ1fqmpqZUcqyE0OwdaxhpTaF8vs2uZ+7evUt8fDypqamYmppSokQJrK2t819RC4qmpQulnNfJ1MSUCd2G0MWzLSU+sCX22kWmbJrProj9qjyD2vViULuelLEpwfm4f5i0Ya7ackMDQyZ0G0qv5p0pXtSaM5f/ZOTKaRw5998ta5zLOTKr9zjqOdVAoVBw4OTvfLUyiCu31G99k035cxwjQqaqLv7VR8qfn3aRpmY90nFNCt/3O3czadzkXJcfjPgFhULBwuBFHDn0O0mJSTg5OzFgUD9Vi2rC2EmE79J8t5DyFcrz3e7tr6LqOmdmaPHSZVSe/6nWef8auu+lt6cv9D5AvUr6GKDEq/M2Byjx4gojQDktaKl13tghe19oG//88w/t27dn7Nixqt6luLg4pk6dyokTJzA1NcXHx4dhw4ZhZPRf51poaChr1qzh9u3bODk5MW7cOKpVq6ZaXhhl5EY6PoUQQsde9SSJx48fM2LECFJSUlRpGRkZBAQEoFAo2Lp1K1OnTmXHjh0sWrRIlScsLIzZs2czdOhQwsLCcHBwIDAwkLt37xZaGXmRACWEEDr2qqeZL1q0CAsL9Zbejz/+yI0bN/jmm2+oVKkSTZo0YcSIEWzYsIG0tDQAQkJC6Nq1K61bt6ZChQpMmzYNS0tLtm7dWmhl5EUClBBC6JiBgYHWr4I6ceIE3377Ld98841aelRUFE5OThQtWlSV5u7uTkpKCjExMdy5c4crV67g7u6uWm5oaEjNmjWJiooqtDLyopez+IQQ4m1SkK67pKQkkpKScqRbWVlhZWWVI+/IkSMZP348JUqUUFsWHx+Pvb36dYu2trYA3Lp1C1PTp9dPaspz7ty5QisjL3oZoHx9fbXOGxoamn8mIYTQoYJ03a1fv57FixfnSB84cCCDBg1SS5s8eTLVq1endevWOfKnpaXl6PYzMXl6gX56ejqpqalqac/mycjIKLQy8qKXAerDDz/UdRWEEKLQFKQF1b17d3x8fHKkP9962rVrF1FRUYSHa576b2pqmiNIZL83NzdXtX405TE3Ny+0MvKilwFqxowZuq6CEEIUngIEKE1deZp899133L17F09PT7X0KVOmsG7dOmrXrk1srPqNnRMSnt62yt7enpIlS6rSHB0d1fLY2dmp8r1sGXnRywD1vDt37nD58mWysrJUaRkZGZw5c4bBgwfrsGZCCJG/V/HAwjlz5qhm0mVr1qwZAwcOxNvbm9OnTxMWFkZSUpIq4EVGRmJhYUGVKlUwMTHBwcGB48eP07BhQwCysrKIjo6mc+end7ivXbv2S5eRF70PULt27WLChAk8fvwYhUKBUqlUNZdLlSolAUoI8cZ7FTeBza2FYm1tTalSpShevDjz589n2LBhfPXVV/z777/MnTuXnj17qsaMevXqRVBQEA4ODlSrVo3Vq1fz6NEj1YW+n3zyyUuXkRe9D1ArVqzA29ubvn370qlTJ9auXUt8fDxff/11jgFDIYR4E+niLuVFihRh1apVTJkyhU6dOmFlZUXnzp0ZMGCAKk+nTp1ITk5mwYIFPHjwAGdnZ9asWaO6nVxhlJEXvb/VUdWqVdm1axfly5fHz8+PPn360LBhQ3766SeWL19OWFjYC5cttzoSz5JbHQlNCuNWR7XXfKZ13hO9drz09vSF3l+oa2JiompKli1bVvWcKBcXF65evarLqgkhhFbkgYWa6X2AcnFxUd0yo2LFikRERABw4cIFjI2N81pVCCHeCPLAQs30fgxq0KBBBAYGYm1tjY+PD0uWLKF58+YkJCTQqlUrXVdPCCHyJQ8s1EzvA1StWrX48ccfycjIwNrams2bN7N161ZKlCiBn5+frqsnhBD5etdaRtrS+wAF6tMpK1SowPjx43VYGyGEKBiJT5rpfYDy9/fPc/mGDRteU02EEOLFSAtKM70PUM9fjJaZmcnVq1e5fPlyvsFLCCHeBBKgNNP7ADV79myN6cHBwRpvSS+EEG8aCVCavbVTRz777DP27Nmj62oIIUS+DAwUWr/eJXrfgsrNxYsX0fObZAgh3hXSgtJI7wPUyJEjc6QlJydz9OhRWrRooYMaCSFEwUgXn2Z6H6Bu3ryp9l6hUGBsbExAQAA9e/bUUa2EEEJ771jPndb0PkBt3Lgx12W3b9/O8ThiIYR400gLSjO9nyTh5OTEvXv3cqT/+++/NGvWTAc1EkKIgjE0MND69S7RyxbU3r17OXLkCABKpZKgoCCKFCmilicuLk6rZ94LIYSuvVthR3t6GaCqV69OaGioapZeXFwcRkb/7YpCocDCwoIZM2boqopCCKE1A+ni00gvA1TJkiUJDQ0FwM/PjyVLlmBlZaXjWgkhxIuRMSjN9L5luXHjRk6cOMHBgwdVaePHj+fQoUM6rJUQQmjPQKHQ+vUu0fsAtX37doYMGcKNGzdUaRkZGQwYMIC9e/fqsGZCCKEdeWChZnrZxfes1atXM2nSJDp27KhKmzVrFjVr1mTZsmW0bNlSh7UTQoj8Gb1jgUdbet+CunnzJnXr1s2RXr9+fa5du6aDGgkhRMFIC0ozvQ9QpUqV4tixYznSo6OjsbW11UGNhBCiYGQMSjO97+Lz9fVl+vTpXLt2DVdXVwDOnTvHhg0bGDRokI5rJ4QQ+Xu3wo723ooAlZaWxrp161i5ciUAtra2jBgxgubNm+u4dkIIkb93rWWkLb0PUAABAQEEBARw//59jI2NiYmJYcuWLcycOZNz587punpCCJGnd+0WRtp6KwIUwMOHDwkPD2fr1q38888/mJiY4OPjo+tqCSFEvqQFpZneh+1z584xbtw4GjVqxPTp0/nnn3/w9/fn4MGDTJkyRdfVE0KIfCkK8CqI+Ph4hg8fjru7O25ubvTp04cLFy6olsfGxuLn50f16tXx9PRk9erVaus/efKEhQsX0rBhQ1xdXenVqxdXr15Vy1MYZeRGLwNUWloaO3bsoEOHDnTs2JH9+/fTrFkzQkJCMDQ0pGPHjlhbW+u6mkIIoZVXMYtPqVTSu3dvbt26xerVq9mxYwempqb06NGDR48ece/ePXr06EHZsmX57rvvGDJkCAsXLmTbtm2qMpYsWcKWLVsICgri22+/xdDQkICAANLT0wEKpYy86GUXX6NGjXjy5AmNGjWib9++eHp6YmJiAiCPeRdC6J1X0cV3584dypcvz+DBg3FwcACgf//+tG3blvPnzxMZGYmxsTGTJ0/GyMiI8uXLc/XqVVasWEGnTp3IyMhgzZo1jBgxAg8PDwCCg4Np0KAB+/bto127dmzbtu2ly8jzcyn0T+U1yMzMxMLCAlNTUx4/fkxmZqauqySEEC/sVVyoa2NjQ3BwsCo43blzh9WrV2Nra0ulSpWIioqiVq1aak+CcHd35/r168THxxMbG0tKSorajRAsLS2pUqUKUVFRAIVSRl70sgUVERHB/v372bFjB2FhYZiamuLh4UHLli3fuSuthRD6z7AA562kpCSSkpJypFtZWeX6VIfRo0ezc+dOTExMWLZsGRYWFsTHx1OhQgW1fNk3N7h58yYJCQkA2NnZ5chz8+ZNgEIpIy96GaDMzMzw8fHBx8eHK1eusGPHDr7//nt+/PFHFAoFq1evJjAwkPLly+u6qkIIka+CdPGtX7+exYsX50gfOHBgrjcnCAgIwNfXl82bNzNgwABCQ0NJS0tTDY1ky36fnp5OamqqWtqzeTIyMgAKpYy86GWAela5cuUYMWIEw4cP57fffiMsLIzw8HB27dpF3bp1Wbt2ra6rKIQQeSpIgOrevbvGS2jyeiZexYoVAZg2bRpnzpxh48aNmJqa5ggS2e/Nzc0xNTVVpT0bYDIyMlRPKy+MMvKi9wEqm4GBAV5eXnh5eXHv3j127txJWFiYrqslhBD5KsjQRF5dec9KSEggMjISb29vVfkGBgZUqFCB+Ph47O3tVV1wz64DYG9vr5pwlpCQgKWlpVqe7G69wigjL3o5SSI/1tbWBAQEsGfPHl1XRQgh8mVQgJe2bt68yYgRI4iOjlalPX78mD///JPy5ctTu3ZtoqOj1SaZHTt2jHLlymFjY0PlypWxtLTk+PHjquXJycn8+eef1KlTB6BQysjvcxFCCKFDr2IWX9WqVXF3d2fixIlERUVx/vx5Ro0axYMHD+jRowcdOnQgNTWVsWPHcvHiRXbt2sW6devo27cv8HScqFu3bgQHB3PgwAH++usvhg0bhp2dHc2aNQMolDLy/FyUcuFQrhRNS+u6CuINovw5DoDUrEc6rol4k5gZWrx0GV/+PlLrvHMbzNI6b2JiInPmzOHgwYM8fPiQWrVqMXLkSBwdHYGnd+KZNm0aMTEx2NjY0KNHD/z9/VXrZ2VlERwcTFhYGKmpqdSsWZNJkyZRpkwZVZ7CKCM3EqCEEELHRkSM0jrvnI+/eYU1ebO8NZMkhBBCXxnIE6E0kgCVh7SsFF1XQbxBTA2fTouV40I8K/u4eBlygwHNJEAJIYSOyeM2NJMAJYQQOmagkAnVmkiAEkIIHZMWlGYSoIQQQscUckmqRhKghBBCx6QFpZkEKCGE0DGZxaeZBCghhNAxhVwHpZEEKCGE0DFDAxmD0kQClBBC6JiBTJLQSAKUEELomIxBaSYBSgghdEwClGYSoIQQQsfkZrGaSYASQggdkxaUZhKghBBCxwzlXnwaSYASQggdk5vFaiYBSgghdEy6+DSTACWEEDomd5LQTAKUEELomNwsVjMJUEIIoWMySUIzCVBCCKFjCglQGkmAEkIIHZMxKM0kQAkhhI7JGJRmEqCEEELHZJq5ZhKghBBCx+RefJrJyJwQQuiYgYGh1q+CSE5OZvr06Xh5eeHm5kb79u355ZdfVMvj4uLo27cvNWrUoH79+syePZvMzEy1MkJDQ2nSpAnVqlWjc+fOnD17Vm15YZSR6+dSoL0VQghR6AxQaP0qiDFjxvDbb78RFBTErl27aNasGQMHDuTo0aNkZGQQEBCAQqFg69atTJ06lR07drBo0SLV+mFhYcyePZuhQ4cSFhaGg4MDgYGB3L17F6BQysiLQqlUKgu0x++QtKwUXVdBvEFMDc0BOS6Euuzj4mVsurBG67zdKvbSKt/t27dp0KABISEheHp6qtK7d+9O8eLF8fT0ZMyYMURERFC0aFEAtm/fzvTp0zl69CimpqY0b96cJk2aMHLkSACysrJo2rQpHTp0YMCAAYSHh790GXmRFpQQQuiYogD/tGVmZsbKlSupVauW+rYUChITE4mKisLJyUkVWADc3d1JSUkhJiaGO3fucOXKFdzd3VXLDQ0NqVmzJlFRUQCFUkZeJEAJIYSOKRQKrV/asrS0pFGjRlhaWqrSTp8+zbFjx/D09CQ+Ph57e3u1dWxtbQG4desW8fHxABrz3Lx5E6BQysiLzOITQggdK8jYUlJSEklJSTnSrayssLKyynW9S5cuMXDgQFxdXencuTMHDhzAwsJCLY+JiQkA6enppKamqqU9mycjIwOAtLS0ly4jLxKghBBCxwwU2s/OW79+PYsXL86RPnDgQAYNGqRxnRMnTjBw4EBKlixJSEgIxsbGmJqa5ggS2e/Nzc0xNTVVS3s2j7n503G3wigjLxKghBBCxwrSdde9e3d8fHxypOfWetq9ezdjx46lTp06LFy4UNXlZ29vT2xsrFrehIQE1bKSJUuq0hwdHdXy2NnZFVoZeZExKCGE0LGCTJKwsrKidOnSOV6aAlR4eDgjR47k008/JSQkRG08qnbt2sTGxqp1F0ZGRmJhYUGVKlWwtrbGwcGB48ePq5ZnZWURHR1NnTp1Cq2MvBhOnjx5coE+yXdIpvKxrqsg3iBGBsaAHBdCXfZx8TJiH/xP60kSVd6vqlWZt27dIiAggJo1azJ58mTS09NJSUkhJSWFx48f4+joyO7duzl27BiOjo6cPXuWoKAg/P39qV+/PvB0rGjRokXY2dlhbGzM3LlzOX/+PNOnT8fMzIyyZcu+dBl5kS4+IYTQsVdxq6OffvqJ1NRUjh07RsOGDdWW1ahRgy1btrBq1SqmTJlCp06dsLKyonPnzmrXJnXq1Ink5GQWLFjAgwcPcHZ2Zs2aNVhbWwNQpEiRly4jL3Khbh7kgkzxLLlQV2hSGBfqfn9lu9Z525br+NLb0xfSghJCCB2Tu5lrJgFKCCF0TB5YqJkEKCGE0DF5YKFmEqCEEELHpAWlmQQoIYTQMRmD0kwClBBC6FhBbnX0LpEAJYQQOiaPfNdMApQQQuiYdPFpJgFKCCF0TCZJaCY3ixVqfvv1N+rV+lgtTalUsnL5Kpp7fYp7jXr0DfiCfy7/o6MaitclKyuLtavX4d28DXVr1se3sx+Rx/676WdaWhrBcxfQosmnfFynIYE9+xD75186rLH+ehUPLHwbSIASKqdPnWbsqPE8f/erkKUrWBmyCv+efnwzZwYPk5Pp3asvDx8+1FFNxeuwbs16Fs1fTLv2bZm/aB5lPixN/z4DVEFo9sw5fLv5W3oE9GDWvG8wNDCgd68+xN+K123F9ZChwlDr17tEApQgIyODtavXEdijD4aG6n8Ajx49Yv3aDXwxoC++fl3x9PJk+YqlpDxKYed3u3RTYfFahH//A5+2akFg3wDq1q/LtJlBFC9enJ1hu3jy5Al7wvfi16Mbn3ftzMcN6jNv4VzS09LZv/dHXVdd7xTkcRvvEglQgt8PR7B65RqGjRhKF9/P1ZadPXOOlJQUPBt7qNKsilpRs3ZNIn7/43VXVbxGGRkZWDzz/CBDQ0Ms37MkKTGRJ0+e8PjxYywt/ltuZmaGiYkJiYmJuqiuXpMuPs0kQAmcqzqz96c9+Pp1zfEHcPXKVQDKlCmjll66dCmu/f8y8Xbq3KUTe3bvIfJoJA8fPiR042YuXbxEi0+bY2RkxGedOrAldAv/OxdDUmIS8+cuIC0tjU+aNdF11fWOtKA0k1l8Ajs721yXPUpOxsTEBGMT9YeyWVhYkJz86FVXTehQp887ciLyBH0CvlClDRw8AE8vTwC+GNCXc2fP4du5G/C0FTB1xhSqOFfRQW3127vWMtKWXgYoDw8Prb/Q33777dVW5i2nVGr+41EqlRgYSAP8baVUKunXewCXL11m3MQxOHz0EZFHI1m+NIT3rN6jrU8b/Lv24HFGBkEzp2Jra8svP//C5PFfY2lhQeMmjXW9C3rFQDqzNNLLADVy5EjGjh3LRx99RJMm0p3wKlm+Z0lGRgaPHz/G2Pi/VlRKSgqW71nmsabQZ6dOnubUyVPMnjeLZi2aAlC7Ti0yszIJnjsfS0tLrl29Rui3m3Cp6gyAe906PHjwgJnTZkmAKiADhQQoTfQyQLVq1YoiRYowbNgwZsyYQeXKlXVdpbfWh2U/RKlUcuPGv5QrV1aVHhd3Q+29eLvE37oFQDXXqmrpbjXcWLtqHTdu3MDQ0BBnlyo5lv+47ydSHqVgbvHyT5p9V0gXn2Z6G7Y/+eQTWrVqRXBwsK6r8larXt2VIkWKcPCXg6q0pMQkok9EU6duHR3WTLxKZf//x8epU6fV0s+dPYeRkRHly39EVlYW586ee275/3jf+n3MzM1eW13fBjJJQjO9bEFlGz9+PHFxcbquxlvN3MKcLr6fs3jBEgwUBpQt9yErQ1ZjYWlB+898dF098YpUca5CQ4+GTJ8yg6TEJBw+ciDqeBRrV62ja7cueDT2wLGyI18NG8XAIf2xsbHh0G+H2RO+h9HjRkmLoIDetcCjLYXy+dsGCJW0rBRdV+G1W7Z4OevXbuBY9H/XOGVmZrJ44RJ27wwnJSUFVzdXRo8dicNHDjqs6etnavi0y+pdOS7S0tJYvGAJ+/f9SFJiEh+W/ZBOn3ekY+fPUCgUPHjwgOA58zl08BBpael8VN6BngE9aNq8qa6r/lplHxcvI+qO9tcU1ipe/6W3py8kQOXhXTkRCe28awFKaKcwAlT0naNa561ZvN5Lb09f6HUXnxBCvA1kFp9mEqCEEELHZAxKMwlQQgihYzKpRDMJUEIIoWPSgtJMLwOUr6+v1nlDQ0NfYU2EEOLlSYDSTC9H5j788EOtX0II8aYzUBho/XpRISEhdOnSRS0tLi6Ovn37UqNGDerXr8/s2bPJzMxUyxMaGkqTJk2oVq0anTt35uzZs4VeRm70sgU1Y8YMXVdBCCEKzasegwoNDSU4OBg3NzdVWkZGBgEBATg4OLB161auX7/O2LFjMTIyYtiwYQCEhYUxe/Zspk6dipOTE6tWrSIwMJB9+/bxwQcfFEoZeXkrroO6c+cOly9fJisrS5WWkZHBmTNnGDx48AuXK9e7iGfJdVBCk8K4Dir2wRmt8zoVc9U6b3x8PJMmTSIyMhJ7e3uKFSvGli1bAAgPD2fMmDFERERQtGhRALZv38706dM5evQopqamNG/enCZNmjBy5EgAsrKyaNq0KR06dGDAgAGFUkZe9LIF9axdu3YxYcIEHj9+jEKh0t5b5QAADYhJREFUQKlUqn6NlCpV6qUClBBCvA6vagwqJiYGCwsLdu/ezZIlS7h69b+HjEZFReHk5KQKLADu7u6kpKQQExND2bJluXLlCu7u7qrlhoaG1KxZk6ioqEIrIy96H6BWrFiBt7c3ffv2pVOnTqxdu5b4+Hi+/vprBg0apOvqCSFEvgrSxZeUlERSUlKOdCsrK6ysrNTSvLy88PLy0lhOfHw89vb2amm2tk8fXnrr1i1MTU0BNOY5d+5coZWRF70PUNevX2fRokWUK1cOR0dH7t27h5eXF5mZmSxfvpy2bdvquopCCJGngrSg1q9fz+LFi3OkDxw4sEA/ytPS0rCwsFBLMzExASA9PZ3U1FS1tGfzZGRkFFoZedH7AGViYqLa+bJly/L333/TsGFDXFxc1JqzQgjxpirI7Lzu3bvj45PzSQLPt57yY2pqmiNIZL83NzdXtX405TE3Ny+0MvKil9PMn+Xi4sLWrVsBqFixIhEREQBcuHBB7QmwQgjx5lJo/bKysqJ06dI5XgUNUPb29iQkJKilZb+3t7enZMmSamnP5rGzsyu0MvKi9wFq0KBBhIaGsnr1alq3bk1MTAzNmzdn6NChfPLJJ7qunhBC5EuhUGj9Kiy1a9cmNjZWbTwrMjISCwsLqlSpgrW1NQ4ODhw/fly1PCsri+joaOrUqVNoZeTFcPLkyZMLYV91pmTJkvj4+FCuXDns7e1p3LgxDx8+pEmTJgwePBhDQ8MXLjtT+bgQayr0nZHB0xa5HBfiWdnHxct4kHFX6yfqvl+k+Att48CBAyQmJvLZZ58BT4dEdu/ezbFjx3B0dOTs2bMEBQXh7+9P/fpPnzllYmLCokWLsLOzw9jYmLlz53L+/HmmT5+OmZlZoZSRl7fiOqhXRa53Ec+S66CEJoVxHdQ/D89rndfhvUovtI3Ro0dz9epV1XVQAFevXmXKlCmcOHECKysrOnTowJAhQzAw+K9zbc2aNaxfv54HDx7g7OzMuHHjcHZ2LtQycqP3Acrf3z/P5Rs2bHjhsuVEJJ4lAUpoUhgB6kryBa3zlrOs+NLb0xd6P4vv+YG2zMxMrl69yuXLl/MNXkII8SYw0P/pAK+E3geo2bNna0wPDg7WeDGbEEK8aeR5UJq9tWH7s88+Y8+ePbquhhBC5EvbCRLv2mM59L4FlZuLFy+i58NrQoh3hLSgNNP7AJV9h9xnJScnc/ToUVq0aKGDGgkhRMG8ay0jbel9gLp586bae4VCgbGxMQEBAfTs2VNHtRJCCO1JgNJM76eZ5+X27dvY2Ni88PoynVg8S6aZC00KY5r5rdTrWue1Nyvz0tvTF3o/ScLJyYl79+7lSP/3339p1qyZDmokhBAFpf29+N4letnFt3fvXo4cOQKAUqkkKCiIIkWKqOWJi4vT6m65Qgiha+9W2NGeXgao6tWrExoaqpqlFxcXh5HRf7uiUCiwsLBgxowZuqqiEEIUgIQoTfR+DMrPz48lS5YU+Fbz2pCxBvEsGYMSmhTGGFRC2r9a57U1LfnS29MXej8GtXHjRk6cOMHBgwdVaePHj+fQoUM6rJUQQmhPLtTVTO8D1Pbt2xkyZAg3btxQpWVk/F97dx/T5LXAcfxbtbVSGKAIV42y2UVxyYZLHCHGgcEElY1k+4Nk6qL4EjFxbNNlkwS3xeCmJm7gW3yJiCEqyghGUTfjFl+iiRq3fwhiiFGpyRRweLn1gtau3D8MTbmU2UEdfcrvkzSBw+l5Dk9Ozq99zmkfFytXruTUqVMD2DMRkcAooPwz/CW+OXPmsHTpUnJycrqVHzlyhAMHDlBTU9PntnUpR3zpEp/4E4xLfA8e3w+4bpz1X/0+nlEY/h3UvXv3SE1N7VE+ffp0HA7HAPRIROTvGYg76hqB4QNq3LhxXL58uUf5r7/+Snx8/AD0SEREgsGQ28x9LViwgG+//RaHw0FycjIAtbW1lJeXk5+fP8C9ExF5vsG2thQow69BAZSWlrJ//35aWloAiI+PJy8vj9mzZxMXF9fndrXWIL60BiX+BGMN6uGTloDrxg7v+9e3GU1YBFSXhw8fYjabqauro6Kigl9++YXa2to+t6eJSHwpoMSfYATUv10PAq4bY+n7i26jMfwlvi5Op5OamhoOHz7M7du3sVgsvP/++wPdLRGRAOgSnz+GD6ja2loOHz7MqVOn6OjowGQysXDhQvLy8hg5cuRAd09E5LkUT/4ZMqAeP37MiRMnqKiooK6uDpvNRmZmJllZWaxcuZKcnByFk4gYiCLKH0MGVFpaGh6Ph7S0NPLy8pg5cyYWiwVAt3kXEcMZbJ9vCpQhPwfldrux2WxYrVaePn2K2+0e6C6JiPSZvurIP0O+g7p06RI//fQTVVVVVFdXY7VaSU9PJysrS69ERMSANG/5Y/ht5nfu3KGqqopjx47R0tKCyWTivffeY9myZdjt9n61re3E4kvbzMWfYGwzf/S0LeC6kebofh/PKAwfUF08Hg/nzp2jurqac+fO8eeff5KamkpZWVmf29REJL4UUOJPMALqv+7/BFzXNiz4974LVWETUL5aW1s5evQo1dXVnDx5ss/taCISXwoo8Sc4AeUMuK5tWFS/j2cUYRlQwaKJSHwpoMSfYARUu/tRwHUjhkX2+3hGYchNEiIi4USbu/xTQP2FYLwykvCjcSHyz9AlPhERCUmG/KCuiIiEPwWUiIiEJAWUiIiEJAWUiIiEJAWUiIiEJAWUiIiEJAWUiIiEJAWUiIiEJAWUiIiEJAWUgWRkZDB58mTvY8qUKUybNo3c3Fx+++23oB+vsbGRyZMnc+XKFQAKCgqYN29eQM/t7Ozk6NGj/PHHH73W8Xg8bN26lbfffpvk5GSWLFlCY2NjUPo+mITbuPC1e/fugNuW8KOAMphFixZx8eJFLl68yPnz5zl06BBWq5UlS5bw+++/v9BjFxYWsnPnzoDqXr58mYKCAjo6Onqts2PHDioqKli/fj1Hjhxh6NChLF26lCdPngSry4NGOI2LLgcPHqS4uLi/3RMDU0AZzIgRIxg9ejSjR48mPj6eSZMmsW7dOjo6Ojhz5swLPXZUVBQxMTEB1X3eVzy6XC727dvHRx99RHp6OklJSRQXF/PgwQN+/PHHYHR3UAmXcQHQ1NTEihUr2Lx5M6+88kp/uycGpoAKA8OGPftS+uHDhwPPLvls3LiRd999l5SUFC5cuABAVVUVc+fO5fXXX2fOnDns2bMHt9vtbaehoYGFCxcydepUMjMzuXr1arfj/P+lnLt375Kfn8+0adNISUkhPz+f+/fvc+XKFRYvXgzArFmz2LZtW48+19fX097eTmpqqrcsMjKS1157jWvXrgXpzAxuRhwXAHV1ddhsNo4fP05ycnLwTogYjm63YXBNTU1s3LiRiIgI0tLSvOUHDhxgx44dxMXFMXHiRA4dOkRJSQlffvklU6dOpaGhgaKiIu7evUtRURFOp5Pc3FzeeOMNKisraW5uZu3atb0e1+l0smDBAux2O2VlZZjNZoqKilixYgWVlZWUlJTw6aef8sMPP2C32/32GyAhIaFbeXx8PPfu3QvS2Rm8jDou4FmQZmRkBP2ciPEooAymtLSU8vJyANxuNy6Xi4kTJ1JSUsLYsWO99WbMmEF6err39127dpGXl0d2djYA48ePx+VysXr1alavXs3p06dpb29n06ZNREdHM2nSJAoKCvjkk0/89uPkyZO0tbXx/fffExsbC8A333xDZWUlLpeL6OhoAEaOHInNZuvx/K41CIvF0q3cYrHgcrn6enoGrXAZFyK+FFAGk5OTQ25uLgBDhgwhJiaGqKioHvUSExO9P7e2ttLU1MSWLVvYvn27t9zj8eDxeLhz5w4NDQ2MHz/eO4EAvPnmm732o6GhgQkTJngnIYCXX36ZL774IqD/w2q1As/WonxDyuVyERGhGwL+XeEyLkR8KaAM5qWXXuo2yfSmKwDg2YQDsGbNGmbMmNGjbkJCAjU1NT3KzWZzr+3/1d8CMWbMGACam5uJjIz0ljc3N/Pqq6/2q+3BKFzGhYgvbZIYBEaNGsWoUaNwOBwkJiZ6H7du3eK7777D7XYzZcoUGhsbaW1t9T6vtra21zbtdjsOh4O2tjZv2e3bt3nrrbe4efMmJpPpL/uUlJREZGRktwX3R48ecf36dVJSUvrx30qgQnFciPhSQA0CJpOJ5cuXc/DgQcrLy3E4HJw9e5bCwkLg2e65d955h7i4OD777DNu3LjB1atX2bBhQ69tZmdnExsby+eff059fT3Xr1+nsLCQxMRE7Ha7d32hvr4ep9PZ4/kWi4UPP/yQ4uJifv75Z27cuMGqVatISEggMzPzxZwI6SYUx4WILwXUIJGbm8vatWupqKggKyuLr7/+muzsbDZt2gRAREQE5eXlmM1mPvjgA9asWcPy5ct7bW/EiBGUlpYCMH/+fBYvXsyYMWPYuXMnJpOJpKQkMjIyWLVqFVu2bPHbxscff0xOTg5fffUV8+bNo7Ozk7179/bYOCEvTiiOC5Eups5APjknIiLyD9M7KBERCUkKKBERCUkKKBERCUkKKBERCUkKKBERCUkKKBERCUkKKBERCUkKKBERCUkKKBERCUn/A2qu/in6RM9uAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8780,6 +9710,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9755014469076588\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8787,14 +9718,37 @@
       "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55878   985]\n",
-      " [   11    87]]\n"
+      "[0]\tvalidation_0-error:0.031646\tvalidation_1-error:0.029073\n",
+      "[5]\tvalidation_0-error:0.022616\tvalidation_1-error:0.014782\n",
+      "[10]\tvalidation_0-error:0.018714\tvalidation_1-error:0.010112\n",
+      "[15]\tvalidation_0-error:0.015957\tvalidation_1-error:0.008813\n",
+      "[20]\tvalidation_0-error:0.013629\tvalidation_1-error:0.008831\n",
+      "[25]\tvalidation_0-error:0.011235\tvalidation_1-error:0.008515\n",
+      "[30]\tvalidation_0-error:0.009527\tvalidation_1-error:0.008532\n",
+      "[35]\tvalidation_0-error:0.008263\tvalidation_1-error:0.007619\n",
+      "[40]\tvalidation_0-error:0.007213\tvalidation_1-error:0.006882\n",
+      "[45]\tvalidation_0-error:0.005924\tvalidation_1-error:0.006057\n",
+      "[50]\tvalidation_0-error:0.005412\tvalidation_1-error:0.005899\n",
+      "[55]\tvalidation_0-error:0.004685\tvalidation_1-error:0.005214\n",
+      "[60]\tvalidation_0-error:0.004194\tvalidation_1-error:0.004828\n",
+      "[65]\tvalidation_0-error:0.003541\tvalidation_1-error:0.004494\n",
+      "[70]\tvalidation_0-error:0.003249\tvalidation_1-error:0.004354\n",
+      "[75]\tvalidation_0-error:0.002605\tvalidation_1-error:0.003897\n",
+      "[80]\tvalidation_0-error:0.00213\tvalidation_1-error:0.003546\n",
+      "[85]\tvalidation_0-error:0.002167\tvalidation_1-error:0.003476\n",
+      "[90]\tvalidation_0-error:0.002152\tvalidation_1-error:0.003423\n",
+      "[95]\tvalidation_0-error:0.002146\tvalidation_1-error:0.003406\n",
+      "[99]\tvalidation_0-error:0.002139\tvalidation_1-error:0.003388\n",
+      "[[56686   177]\n",
+      " [   16    82]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAERCAYAAAAudzN9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1QU19vA8e/SpAX9ESmxRImFIChiw14wltixJipYIBKjxhJ7j2KJDRsq9oYaNWgktjQTFUUFa4gRu2IUVFREmuC+f/CyYWWBRdF19fl49hz3zp07d2aHffaWmVEolUolQgghxBvGQNcVEEIIITSRACWEEOKNJAFKCCHEG0kClBBCiDeSBCghhBBvJAlQbwGZiPl2eB2fo5wrQp9oHaCioqIYPXo0Hh4eVKlSBQ8PD0aPHs2VK1deWeWOHz9O69atcXFxoVWrVoVW7qJFi3B0dCQ9Pb3QysxNSEgIjo6OODo68s8//2jMEx0drcoTExNToPK3bdvG9OnT883n4eHB8OHDC1T2817V5wEQFxdH7dq1ad26NSkpKTmW7927F0dHR7Zt26aW/vjxY5YvX06nTp1wd3enSpUqtGjRgmnTphEbG6uWN+tzz/5ydXWldevWrFy5kmfPnhXqPmkrISGB0aNHEx4eXmhlxsTEqB2vtLQ0Zs6cyc6dO1V5vLy8+Pzzz1+o/Nu3bzNx4kSaNGmCi4sL7u7u+Pr68ueff6rle9nz/8GDB8ybN4/WrVvj6uqKu7s73bt3Z/v27WRkZKjyHTt2LMdnq+l17NgxgHzzjR49+oWOy5si63gcOXIE+O9zuH79uo5rVjBG2mTasmULU6dOpVq1agwaNAg7Oztu3rzJunXr6NSpEytXrqR69eqFXrmZM2eSnJxMYGAgxYoVK7RyO3XqRJ06dTAy0mr3C4WBgQF79+7l448/zrHsp59+euFyly5dSrVq1fLNt2DBAiwtLV94O/DqPg8AW1tb/P39GTBgALNmzWLixImqZdeuXWPcuHG0adOGLl26qNIvXbqEn58fT548oXv37ri6umJsbMzff//N+vXr2b17N5s2baJs2bJq29qwYQMGBpm/zZ48ecLJkyeZO3cuycnJDBo0qFD3Sxvnz59nx44dtGvXrtDKtLW1JTg4WLXvcXFxrFmzBn9//5cu++7du3Tp0oX333+fAQMGULJkSR4+fEhoaCj9+vVj0qRJdO/eXW2dFzn/o6Oj8fX15dmzZ/To0YMqVaqQnJzM4cOHmTx5Mj/99BOLFy/G0tKSSpUqERwcrFr3/Pnz+Pv7M2bMGFxcXFTpjo6Oqv936NBB7XzKrnjx4gU6Jm+6Ro0aERwcjL29va6rUjDKfJw6dUrp5OSk/Pbbb3Mse/TokbJZs2ZKDw8PZXp6en5FFViTJk2Uw4YNK/RyX6cffvhBWbFiRWWPHj2UzZs315jHw8ND2aFDB2XFihWVN2/eLFD5TZo0UX7zzTeFUVWttvWqP48JEyYoK1asqDxw4IBSqVQqk5OTlW3btlU2b95cmZiYqMqXmpqqbNOmjbJx48bK2NjYHOXcu3dP2aBBA6WPj48qbeHChcqKFSsqnz59miP/sGHDlLVr1y78HdJCeHi4smLFisqwsLBXto2bN28qK1asqNy6dasqrWfPnsrPPvuswGUtXrxY6ezsrHz48GGOZX379lVWr15d9X3woud/UlKSskmTJso2bdoo79+/n2Od48ePK52dnZUjRozQWGZ+x7RixYrKefPmabW/+uh1nFOvQ75dfCtXruS9995jxIgROZZZWVkxevRo2rRpQ0JCgip9z549dOrUCTc3N+rWrcuECRN48OCBavmiRYto1qwZhw8fxtPTk8qVK+Ph4cHatWuB/7onbt26xU8//YSjoyMhISG5NlM///xzvLy8VO/Pnz9P3759qVmzJlWrVqV79+6EhYWpbf/5Lr6XrXN+Pv30U65du8bff/+tln769Gnu3LlDy5Ytc6zz66+/0qNHD9zc3HBxcaFly5Zs2LBBtTzrGIWGhqp+GWbVc/ny5bi7u1O3bl3u3Lmj1sU3c+ZMHB0d1Y7Jr7/+iqOjo8b9ye3zgMzWzddff039+vVxdXWlZ8+enDhxIse669evp23btri6urJ+/fpcj9OYMWP46KOPGDt2LPHx8cyYMYNr166xYMECLCwsVPn27dtHdHQ048aNw9bWNkc577//PoMGDaJEiRJadd1pahHmt2+Q2cU4c+ZMPvnkEypXrkzr1q3ZunWrWp68zseQkBC8vb0B6NOnj8aupX/++QdHR0f27t2rSouKisLR0ZGpU6eq0tLT06lRowbLly9X6+I7duwYTZs2BWD8+PFqfysAa9euxcPDg8qVK+Pp6al2Xmhy//59FAqFxvGsgQMH0r9/f54+faqWXtDzf8eOHdy6dYvJkydjbW2dYzs1a9bE29ubH3/8kRs3buRZ38KWmpqKv78/jRs3xsXFhWbNmrFw4UK175OYmBhGjhxJ/fr1cXZ2pk6dOowcOZL4+HhVHi8vL8aNG8fy5ctp2LAhrq6u+Pj4cPfuXXbt2kXLli2pWrUq3bp14/z586r1Ro8ezeeff05ISAhNmjShatWqeHt75zi22T3/3Tl69Gh69+7Nrl27+PTTT1XfL7t27VJb7/Lly3zxxRdUq1aNevXqsWDBAsaMGZPjHHpV8gxQSqWSQ4cOUadOHczMzDTm8fDwYOjQofzvf/8DYMmSJQwdOpRKlSoREBBA//792b9/P97e3iQnJ6vWu3fvHuPGjaNz584sXboUZ2dnZsyYQVhYmKp7wsbGhvr16xMcHEyjRo202qHExET69OlDkSJFmD17NvPnz8fY2Bg/Pz9u3rypcZ3CqHN+6tSpg7W1tdqXDGR2b2Qty+6PP/5gwIABVKhQgUWLFjF//nxKliyJv78/ERERADmOUZbbt2+zc+dOZs2axfDhw3M064cOHUq5cuWYOHEiycnJ3L9/nwkTJlC/fn169eqVo+65fR6XLl2iY8eOXLt2jVGjRjFr1iwAevfuzdGjR9XKmD17Np999hnfffddnp+lmZkZc+bMISEhAV9fX7Zs2cKYMWNydA398ssvWFlZ0bhx41zL6tKlC1OmTFF152V59uwZ6enppKenk5iYyIEDB9i1a5faH502+5aSkkL37t3ZsWMHvXr1YvHixbi5uTFhwgQWL14M5H8+NmrUiPHjxwOZwfnLL7/MsR8ff/wxH3zwgWo8AVD9P2tMBeDUqVM8fvyYJk2aqK1fqVIlFixYAMAXX3yh2h7AmTNn+PHHHxkxYgRz584lJSWFAQMGqH2RPq9JkyakpaXRtWtXVq1axfnz51U/Atzc3PDx8cHU1FRtnYKe/wcPHuR///tfnkMHbdq0AeD333/PNU9+ss6D51958ff35+eff2bw4MGsWLGCdu3asWTJElasWAFknhfe3t5ER0czduxYli9fTo8ePfjpp5+YO3euWln79u3j999/Z/LkyYwaNYrw8HB69erFsmXLGDRoEFOnTuXmzZsMHTpUbb2LFy8ye/Zs+vfvz8yZM3nw4AFeXl7cuXNH632Piopi0aJFfPHFFwQGBlK8eHFGjhzJ1atXAYiPj6dnz57ExMQwdepURo8eze7du9m9e7fW23hZeQ7CPHjwgJSUFEqVKqVVYY8ePWLp0qV07NhR7Zedo6MjXl5ebNu2TfVrMSkpifnz56u+rKpXr86BAwf4/fffqVevHjVq1MDExIT//e9/1KhRQ+sdunz5Mg8ePFBFfYAqVaoQFBSkcfC9MOucF0NDQ1q0aMG+ffv45ptvAMjIyGDfvn0MHz48xy/O6OhoWrduzeTJk1Vp1atXp3bt2hw/fpwaNWrkeoyePn3KqFGjcg0ERYoU4bvvvuOzzz5jyZIlXL16FaVSycyZM1EoFDnym5iYaNzW1KlTMTIyYuPGjVhZWQGZP1jatGnDrFmz2LFjh6qMpk2b0qNHjzyPURZnZ2f69etHYGAgtWrV0jiQf+PGDUqXLp1jHDEjIyPHL3tDQ0O1/apcuXKO8tzc3FSfM8DixYvz3beQkBCio6PZsGEDtWrVAjL7+jMyMggKCqJ79+7cvHkzz/OxdOnSVKxYEYCKFSvmGC/L0qhRIw4dOqR6Hx4ejouLC1FRUcTHx2Ntbc3BgwcpVaoUFSpUUJts8N5776nGYcqUKaM2DmNoaMiqVatUAaJIkSL069eP06dP4+HhobEuDRo0YOrUqcyZM0cVuC0tLalVqxYdO3akWbNmOdYp6PkfExOT7/fOhx9+qMr7IpYtW8ayZcs0LgsNDVV9Ls+LiIigUaNGeHp6ApnB19LSUvUj/erVq9ja2jJ9+nQ++ugjAOrVq8dff/3F8ePH1cpKTU1lyZIlquP/22+/cfjwYfbs2UO5cuUAiI2NZfbs2Tx48EC1jcePH7N+/Xrc3d2BzPO3WbNmrF27VusJHgkJCWzevJny5csD4ODgQLNmzThw4AAODg5s2LCBxMREduzYofqR6+bmprG351XJM0AZGhoCqM2Wycvp06dJS0ujbdu2aum1atWiZMmSHD9+XO1LIPuvIzMzM4oVK0ZSUpLWldekQoUK2NjY0L9/f1q1akX9+vVxd3dnzJgxOq9zq1at2Lx5M3/99RcuLi4cO3aMx48f88knn+T4ZdmvXz8g89fYtWvXuHbtGufOnQMyZ2TlJ/uXkCaVK1fGz8+PpUuX8uzZM5YsWYKNjY1W+5Hl+PHjNGzYUPUFDmBsbEybNm1YvHgxjx8/VqXn9seuSVpaGr///jsKhYLTp0/zzz//5GhBPXv2TOMkl/bt23Px4kW1tOx/yABbt25VtapSU1O5dOkSS5cu5fPPP2fz5s1YWlpqtW/Hjx/Hzs5OFZyydOjQgZCQEE6dOkWdOnUKdD7mpkmTJmzZsoUbN25gb29PZGQkM2fOZNiwYRw7doxPP/2UP//8M9egkpty5cqptV6yvvSzd9lr0rVrV9q3b094eDhHjx7l+PHjqh9rrVq1Yt68eTl+7BTk/FcqlflOYjI2Ni7IrubQqVOnXGcxlilTJtf16tWrx4YNG4iLi6NRo0Y0aNCAPn36qJY7OTmxZcsWlEolN2/e5Pr161y8eJErV67k+Nt1cHBQO/42NjZYWVmpghOgCkoJCQmq/3/wwQdq57SdnR1ubm45AmBeihYtqgpOgCoIZX2fhYeHU7VqVbUemFKlSuHm5qb1Nl5WnmdA0aJFsbCw4NatW7nmSU1NJSEhARsbGx49egRongFTvHjxHCf9890ABgYGL32dhrm5OZs3byYoKIj9+/ezadMmTExMaN68OZMnT+a9995Ty/8661yjRg3s7OzYu3cvLi4u/PTTTzRu3Fjj7LoHDx7w7bff8ssvv6BUKilTpoyq5aLN9rSZheTp6cmSJUsoWrQoNWvW1Gofsnv06JHGoJa17ewBqiDBb8aMGURHR7No0SLGjRvH8OHD2b59u9qxL1myJGfOnEGpVKp9EQYEBKhaymfPnmXKlCk5ynd2dlb78qtRowbly5enR48ebN++nd69e2u1b48ePcr1vMnKU9DzMTdZ3exhYWE4ODiQnp5Ow4YNqVSpEsePH6datWpcuHChwIHv+a77rMCtzbhdkSJFaNSokaqlfufOHfz9/dmzZw/t2rXL0dVYkPO/VKlSREVF5bn9rLGnEiVK5FtXTWxsbDS2pvMzatQoSpQowY8//siUKVNQKpU4OTkxfvx41d/ounXrCAoK4v79+xQvXhwXFxfMzMxy9OJkH1fN8vxnoqlXw87OLkfa+++/n+d39fM0fZfBf98v8fHxGn/oFi9enHv37mm9nZeR7ySJ+vXrc+zYMY3dY5B5fUr9+vX5888/KVq0KIDGysfFxami/4vK+qCeb9ElJiaqvS9dujT+/v6EhYWxc+dOevfuzd69ewkICMhR5quuc3YGBga0bNmSffv2kZaWxi+//KLqR3/eN998w6lTp1izZg2nT59m7969jB07ttDqolQqmThxIh988AGAxi/y/BQtWpS7d+/mSI+LiwM0TzzIT9aX+JdffkmzZs2YPHkyFy9e5LvvvlPL17RpU+Lj43NcO1ShQgUqV65M5cqVcXBw0Hq7lSpVAlD1v2uzb0WLFs31vIH/fvkW5HzMTZEiRahduzZHjhzh2LFjVK5cGXNzc1WX78GDB3nvvfcK1B3+IjIyMmjYsCFz5szJscze3l7VTX7p0qUcywty/jdt2pS7d++qxls1yWp1FbTV+LKMjY3p27cvP/74I2FhYcyYMYPExES++uor0tLSCA0NZfr06fTt25ejR48SFhZGUFCQxu5bTcFHG9kncGW5e/cu77///guVp4m9vT3379/Pka4p7VXJN0D17duXR48eaTwhHz58SGBgIPb29tSrVw9XV1dMTEwIDQ1Vy3fixAlu37790tdKZf3Sun37tirt7t27qi8VyBx0rF27NnFxcSgUCpycnPjmm2/46KOPNP66eNV1fl6rVq2IiYlh+fLlKJXKXMeJIiMj+eSTT6hVqxYmJiYAqosgs7egnp8AoK3g4GCOHDnC1KlTGTFiBKGhoezfv79AZdSsWZODBw+qtTLT09PZs2cPlSpVwtzcvEDlxcTEMH78eNzc3BgwYACQebzatWvHpk2b1AbD27RpQ7ly5Zg0aVKuA8PZZz7l59SpUwCqLxFt9q1mzZrExsbmmNm3a9cujIyMcHV11ep8zOpKz0/jxo05duwYJ06coHbt2gDUrl2bS5cuERISQoMGDXLt9tJ2G/kxNDSkZMmS7NixQ2MAv3z5MpB7l66253+7du1wcHBg4sSJGidsnDp1ipUrV9K6detcx+1ehZSUFFq0aMHKlSuBzFZLx44d+fzzz3n06BGJiYlERkZibm6Or6+vqvsuK72wLga/ceOG2oXPsbGxnD59WnVeFIaaNWty5swZtb+vuLg4Tp8+XWjbyE++V6pWrVqVIUOGEBAQwJUrV2jfvj3Fixfn0qVLrFu3jgcPHrB+/XqMjIwoVqwY/fr1Y/HixRgbG9O0aVNiYmJYuHAhDg4OdOrU6aUqW6dOHczNzZk5cyaDBw8mLS2NoKAgtW6SatWqoVQq+fLLL/H19aVo0aIcOnSIixcv4uvrm6PMV13n51WtWpWSJUuybNky2rZtqwo+z6tSpQo//fQTzs7O2Nvbc/LkSVauXIlCoVAb87KysuLChQscPXpUrU86L9evX2fOnDl4enpSv359IHNQeNKkSdSoUUPrX2EDBw7k4MGD9OzZk379+lGkSBE2bNjAzZs3CQoK0qqMLE+fPmXo0KEolUrmzp2r9oU6adIkIiMjGTt2LLt27cLW1hYzMzMCAwP56quvaNu2LZ07d6Z69eqYm5tz5coVQkNDOX36NG5ubjlaUidPnlTrzrh8+TKLFy/G1tZWNfCtzb517NiRTZs2MXDgQAYNGkTp0qX57bffCAkJ4csvv6RYsWJanY9Z5+/BgwexsbGhQoUKGo9RkyZNmDRpEidOnGDgwIFA5piosbExJ0+eZPbs2bke36xthIeH4+TkpHbxakGNGzcOb29vPD098fLywtnZGcgcz12/fj2NGzemYcOGGtfV9vw3NTVl0aJF+Pn50a5dO7y9vXFxcSE1NZWwsDC+//57XF1dX6jln+XOnTu5ttBMTEyoUqWKxno5OzsTGBiIgYEBTk5OxMTEsGbNGmrXro21tTWurq5s3rwZf39/PDw8iIuLY/Xq1dy7d09jl96LUCgUfPXVVwwZMgQjIyMCAwOxsrLSOAv3RXl7exMcHIyPj4/qB+PSpUtJT09/4ZZfQWl1K4Uvv/wSZ2dngoODmTt3Lg8ePMDe3p7atWvTv39/Spcurco7aNAgihcvzsaNGwkJCaFYsWK0bNmSoUOHvvSHY2lpSWBgIHPmzGHIkCHY29vTt29foqKiVP3Rtra2rF69mvnz5zNlyhSePHmCg4MD06dPp0OHDhrLfZV11qRVq1asWLEix8SM7GbOnMnUqVNVtzEqW7YskydPZs+ePURGRqry+fn5MWnSJL766qscrUBNnj17xqhRo7CwsFCb7ePv70/btm2ZMGECS5Ys0Wo/KlSowKZNm5g3bx4TJkwAMgPrunXrCjymNXfuXM6ePcu8efMoWbKk2jJLS0tmzZqFl5cXo0ePZtWqVSgUChwcHNixYwfbtm1jz5497Nixg8TERIoXL46bmxv9+/enUaNGOf6Ysk8nNzIy4v3336dOnTp8/fXXqm5JbfbNzMyMDRs2MG/ePJYsWcLjx49xcHBg6tSpdO3aFdDufKxQoQLt27cnODiYy5cvq6YrP8/Ozo5KlSpx6dIl1UC1mZkZVatW5eTJk7kGhaxj+MUXX7Bx40b++eefl5oq7OLiwo8//sjy5cvZvn07S5YsUX0eX331FT169MjzC0yb8x8yj0tISAgbN24kNDSUpUuXYmJiQoUKFZg4cSIdO3Z8qZbhzp071W79lF3x4sVzvXzE39+fhQsXsnHjRuLi4ihWrBhNmzZl2LBhQOYkmZs3b/LDDz+wdetW7OzsaNSoEV5eXowfP17jpJ+CsrGxYcCAAcyePZsnT55Qp04dRo8erfGasRdlZWXF+vXrmTZtGmPGjMHCwoIePXpw6NChAveOvCiF8mVnJQghhHhtRo8ezZEjRzh48OAr3c7Jkyd59OiR2mSXp0+f0qRJE9q2bcuoUaNe6fZByxaUEEKId0tcXBxDhgzBz88Pd3d3kpKS2LZtG4mJiaoegldNApQQQogcWrZsyaRJk9i0aRPr1q3D2NiYqlWrEhwcXKAZsi9DuviEEEK8keSBhUIIId5IEqCEEEK8kWQMSgghdEzRTLsbcgMof3mxm+PqIwlQeSjISSPefllfDCkZL3dDY/F2MTUshGuCXtOFr/pGApQQQuiaDLZoJAFKCCF0TVpQGkmAEkIIXZP4pJEEKCGE0DVDiVCaSIASQghdky4+jSRACSGErkl80kgClBBC6JqBRChNJEAJIYSuSXzSSAKUEELomoxBaSQBSgghdE1m8WkkAUoIIXRN4pNGEqCEEELXpItPIwlQQgihazKLTyMJUEIIoWsSnzSSACWEELomLSiNJEAJIYSuSYDSSAKUEELomsQnjSRACSGErsksPo3kOY5CCKFrBgV4FcCVK1dwdHTM8dq2bRsA58+fx8vLi6pVq9K4cWNWrVqltv6zZ89YuHAhDRo0wNXVlb59+3L9+nW1PIVRRl6HRQghhC4pFNq/CuDChQtYWlpy+PBhtVfbtm2Jj4+nd+/elClThh9++IHBgwezcOFCtm7dqlo/MDCQzZs34+/vz/fff4+hoSE+Pj6kpqYCFEoZeZEuPiGE0LVXNEkiOjqacuXKYWNjk2PZ2rVrMTY2ZvLkyRgZGVGuXDmuX7/O8uXL6dq1K2lpaaxevZrhw4fTqFEjAAICAqhfvz579+6lQ4cObN269aXLyIu0oIQQQtdeURffhQsXKFeunMZlERER1KhRAyOj/9op7u7u3Lx5k9jYWM6fP09SUhK1a9dWLbe0tKRSpUpEREQUWhl5kQAlhBC69oq6+KKjo4mLi+Ozzz6jbt26dO/encOHDwMQGxuLvb29Wn5bW1sAbt++TWxsLAB2dnY58ty+fbvQysiLdPEJIYSuFSDuJCQkkJCQkCPdysoKKysr1fukpCRiYmKwtrbmm2++wcLCgl27duHr68vq1atJSUnBxMRErYys96mpqSQnJ6ulZc+TlpYGUChl5EUClBBC6FoBxqDWrVvH4sWLc6QPHDiQQYMGqd6bm5sTGRmJsbGxKkC4uLhw+fJlVq5ciampaY4gkfXe3NwcU1NTVVr2AJOWloa5uTlAoZSRFwlQQgihawXouuvVqxeenp450rO3nrJYWFjkSKtYsSIHDhygdOnSxMXFqS3Lem9vb49SqVSlWVpaquUpX768Kt/LlpEXGYMSQggdUxgotH5ZWVlRqlSpHK/nA9SpU6dwc3Pj7Nmzaul//fUXFSpUoGbNmkRGRpKenq5aFh4eTtmyZbGxseHjjz/G0tKS48ePq5YnJiby999/U6tWLYBCKSMvEqCEEELHFAqF1i9tubi4UKpUKSZMmEBkZCSXL1/G39+fU6dO0b9/fzp16kRycjJjx47l0qVL7Ny5k7Vr1+Ln5wdkjhP17NmTgIAAfv31V/755x+GDh2KnZ0dzZs3ByiUMvI8LsqsNpjIQdGslK6rIN4gyl9iAEjJSNJxTcSbxNQw/7GU/BgNddU6b3rAGa3zxsbGMnfuXMLCwkhISMDZ2Zlhw4apWi/nzp1j2rRpREVFYWNjQ+/evfH29latn5GRQUBAACEhISQnJ1O9enUmTZpE6dKlVXkKo4zcSIDKgwQokZ0EKKFJYQQok2FVtc6bNu/0S29PX8gkCSGE0LGCdN29SyRACSGEjhkYyHQATSRACSGEjkkDSjMJUEIIoWPSxaeZBCghhNAxCVCaSYASQggdU8gz3zWSACWEEDomLSjNJEAJIYSOGb6iBxbqOwlQQgihY9KC0kwClBBC6JgEKM0kQAkhhI5JfNJMApQQQuiYtKA0kwAlhBA6JgFKMwlQQgihY3IvPs0kQAkhhI5JA0ozCdtvGev3iqH8JSbHa9uEIFWebo3bcXb5ryTvvkT02kMMbN8nRzkD2/cheu0hkn66xNnlv9KlYRu15aVsPuD78UuJ23aGO1tPsX7UAmyKva+Wx9zUjAVfTeH29ydJ+PEffp+9FbfyLq9mx0Wh+uP3P6hTo57q/Y87duFayS3XF8DSxctyXf5ps9a62hW98CqeqPs2kBbUW8a1XCUAmo/uTkJSoir9fsIDALo2asumMYuZu305g5f8TlO3+iwaOJWEpMes/2U7ACO69mdan5FMWDuHE9Gn6daoHVvGLeHuo3j+OHMEI0Mjdvuvx7yIGf0XjgVg1hdj2TVlDfWGdODZs2cAbJsQRNVylRixYhr3HsUz9vOB7Ju+kUq+TVT1EW+e06dOM3bUeLI/y7RBo/ps2LxOLV98/ANGDB1Jm3aZwadjZ0/qNairlufqlWtMGj+Zjp08X33F9di7Fni0JQHqLVPFwaXskhkAACAASURBVIk78XH8EnlQ4/JZX4xjSeh6Rq7wB+DA6SOUtStNs2oNWf/Ldt4zt2RSz6GMWTWTudszW12/nwrDsXQ5mldvyB9njlCtQmWqfOSEx4iuHDh9BICEpMf8PHMTbuVdiIw+i4dbPVrWaEztr9tx4kLmE0Ajos9waul+6jnXZNfRn1/D0RAFkZaWRvCGTQQuXIKZmZnqhwaAtbU11tbWavmHDBxKiZIlGDV2JAB29nbY2duplmdkZDDDfybVa1bH18/n9eyEnjKQAKWRBKi3TJWPnDh79bzGZdUrVqGMXSmW7w5WS+85c5Dq/82rN8LUpAgr925Wy9P4m86q/xcxNgHQ2EKzfq8YAJ71PuX05ShVcAK49yie0t1rvshuidfg8MEwVq1YzdDhQ3j08BHr127INW/Y4SMc+P0PliwPxNTUVGOekO07iL5wke9/2CIthHwYyK2ONNLbMaj4+HiWLl2Kj48PrVq1omnTprRt25YvvviCFStW8PDhQ11XUSeqfOSEeREzwubvJHn3JW5uOsGIrv0zlzk4AWBkaMgfc7eTuucKN4KP07+tt9r6t+PjqFrOmcgle0nbe5XotYfoWL+VKs+RqAhOXfqL6X1HUdqmBKVtSvCd71huxN3i8F/H/39bH/P39Yv0b+vN1Q1HSdt7lYPzfsCl7Mev8WiIgnCu7Myen3fTw6t7vgFlwbyF1KlXh3r162pcnpqayrLAINp7tqd8hXKvorpvFUUB/r1L9LIFde7cOXx9fbGwsKBGjRo4OTlhYmJCWloacXFxbN68mdWrV7NmzRo+/vjd+UJUKBRU+rAiT1KSGL58Kjfi/qVVLQ9m9B2NqUkRUp+mkZ6Rzq4pa1gSuo5vN8zDs96nLPl6OvcTHrD1z1BsilpjaWbOlnGBTNk4nwsxl/H99HO2TVhGvSEdCD9/koxnGXwRMJK90zZwY1NmQLqf8IDG33QhOTUFAJti71OhpAM1Klbhm6CppKWnMaXXcH75bhOOfRqRkPRYl4dKaGBnZ6tVvhPHI7jwzwWWr1qWa559e/YTHx9Prz5ehVW9t5q0MDXTywA1bdo0PDw8mDZtmsbrB549e8a4cePw9/dn48aNOqihbigUCtpM6MWNuH+5/O81AP44cwRLM3NGdf2KGVsWY2RoxPI9wczYvBjIHINysC/NJK+hbP0zFGMjY4pZFsX7u8Fs+PUHVZ5KH1ZkQs8htB7njWu5SvwxZxsnL56j9+yhKIHhnf3YP3MjDYd15vK/1zA2NKZ4UWvqD+3IldvXATh58S8urz+MX5uezN66VBeHSBSCH7b9QPkK5XGv455nnnoN6lGmbJnXWDP9JQFKM73s4jt//jy+vr65XtxmYGCAr68vUVFRr7lmuvXs2TMOnD6iCk5Z9p34Awszc7X32f1y8hAVS32EsZExiclPMvNE/JdHqVTy++kwKv9/99zA9n14kpJEq3He7Dn+O3uP/06rcd6kpqUxsecQABJTnnDx1lVVcAL49/4dzt+4RGWHd6dV+7Z5+vQphw8epsWnzXPNc//efc6eOUfLT1u8xprpN4VC+9e7RC8DlI2NDRcuXMgzz9mzZylWrNhrqtGb4YP37fiiVQ+KF1WfbWVWJHMQ+1psDAAmRsZqy40NjVCg4NmzZ1z6/+BmYmSinsfIGCWZ045L23zAX9cu8CQlSbU89WkqkRfPUalMBQAu3bqWo4ysbWWfviz0y9kzZ3n8OJGmn3jkmudI2BEMDQ1p7NHoNdZMv8l1UJrpZYDq06cP48aNY+7cuRw6dIiLFy9y/fp1Ll68SFhYGAEBAXz77bf06tVL11V9rYoYm7B86Hf0bNpRLb1Tg1ZcuHmZXUd/Jjk1hS6N1C+6be3elBPRZ8h4lsHPEX8C0KXhfxdWGhoY0rx6Q45ERQAQHXOVKg5OWJj+1yozNjLGrbwzV+/cBODnyIOUL1mWquWcVXk++qAMjqXLceTviMLdcfHa/HU2CktLSz4q91Guec6di8LhIwcsLS1fY830m4GBgdavd4lejkH16NEDMzMzgoKCWLFihdqvCqVSiYODA+PGjaNLly46rOXrd+3OTTb9vpOpvUfwTKnk/I2LdGnYhk71W9Fhsg+PkxKZvnkRk72GkfDkMX+eDadb43Y0qlKbVuMyZ/JdvHWVVXu3ML3vaBQKBVHXo+nfxosytiXpPMUPgPkhK/Fu1ok909YzZ3sQz549Y1CHPpQsbk+3aV8BsP6X7Qz27MuOySsZs3omKWmp+PcewfXYW6oLgoX+uXTpEmXKfpjnL/nLFy9RVsaeCuQdaxhpTS8DFEDHjh3p2LEj9+/fJzY2luTkZExNTfnggw9yXFD4LvGZO5wJPQczxNOHD9635fyNS3Sa0o/Qo78A4B+8gEdPHjOoQx9GdP2S6JirdJrSj/3Zxpz85o8i5t5thnb8guJFrTlz5W+aje7Ouf+/vurK7es0GNqJ73zHsmnMYlLSUomIPkvtr9tx5vLfQGaXX5MRXZnTbwJLBk3D0MCQ306F8fWSCaqZfkL/xN+P57333ss3z4dlPnxNNXo7vGtdd9pSKGVAIFeKZqV0XQXxBlH+kjmGl5KRlE9O8S4xNTTPP1M+nBa0yj/T/zs/eM8LbePq1at07NiRsWPHqnqXYmJimDp1KidOnMDU1BRPT0+GDh2KkdF/bZfg4GBWr17N3bt3cXJyYty4cVSpUkW1vDDKyM271aEphBBvoFc9SeLp06cMHz6cpKT/flylpaXh4+ODQqFgy5YtTJ06le3bt7No0SJVnpCQEGbPns2QIUMICQnBwcEBX19f7t+/X2hl5EUClBBC6Nirnma+aNEiLCws1NL279/PrVu3+O6776hYsSJNmzZl+PDhrF+/npSUzG74oKAgunfvTtu2bSlfvjzTpk3D0tKSLVu2FFoZeZEAJYQQOvYqZ/GdOHGC77//nu+++04tPSIiAicnJ4oWLapKc3d3JykpiaioKO7du8e1a9dwd//vgmxDQ0OqV69OREREoZWRF72dJCGEEG+LgnTdJSQkkJCQkCPdysoKKyurHHlHjhzJ+PHj+eCDD9SWxcbGYm9vr5Zma5t5u6s7d+6obgKsKc+5c+cKrYy86GWA6tGjh9Z5g4OD888khBA6VJCuu3Xr1rF48eIc6QMHDmTQoEFqaZMnT6Zq1aq0bds2R/6UlJQc3X4mJpkX16emppKcnKyWlj1PWlpaoZWRF70MUB9+KFNYhRBvj4K0oHr16oWnZ84HQD7fetq5cycRERGEhoZqLMfU1DRHkMh6b25urmr9aMpjbm5eaGXkRS8D1IwZM3RdBSGEKDwFCFCauvI0+eGHH7h//z6NGzdWS58yZQpr166lZs2anD+v/uy4uLg4ILNLrkSJEqo0R0dHtTx2dnaqfC9bRl70MkA97969e1y5coWMjAxVWlpaGmfOnOHrr7/WYc2EECJ/r+KBhXPmzFHNpMvSvHlzBg4cSJs2bTh9+jQhISEkJCSoAt6xY8ewsLCgUqVKmJiY4ODgwPHjx2nQoAGQ+ZTkyMhIunXrBkDNmjVfuoy86H2A2rlzJxMmTODp06coFAqUSqWquVyyZEkJUEKIN96ruJNEbi0Ua2trSpYsSfHixZk/fz5Dhw5lxIgR/Pvvv8ydO5c+ffqoxoz69u2Lv78/Dg4OVKlShVWrVvHkyRPVhb6ffPLJS5eRF70PUMuXL6dNmzb4+fnRtWtX1qxZQ2xsLN9++22OAUMhhHgT6eJWR0WKFGHlypVMmTKFrl27YmVlRbdu3RgwYIAqT9euXUlMTGTBggU8fPgQZ2dnVq9erbqdXGGUkRe9v9VR5cqV2blzJ+XKlcPLy4t+/frRoEEDfv75Z5YtW0ZISMgLly23OhLZya2OhCaFcaujmqs7a533RN9352bLen+hromJiaopWaZMGdVzolxcXLh+/XpeqwohxBtBHliomd4HKBcXF9UtMypUqEBYWBgAFy9exNjYOK9VhRDijSAPLNRM78egBg0ahK+vL9bW1nh6ehIYGEiLFi2Ii4ujdevW+RcghBA69q49iFBbeh+gatSowf79+0lLS8Pa2ppNmzaxZcsWPvjgA7y8vHRdPSGEyNe71jLSlt4HKFCfTlm+fHnGjx+vw9oIIUTBSHzSTO8DlLe3d57L169f/5pqIoQQL0ZaUJrpfYB6/mK09PR0rl+/zpUrV/INXkII8SaQAKWZ3geo2bNna0wPCAjQeEt6IYR400iA0uytnTrSuXNndu/eretqCCFEvgwMFFq/3iV634LKzaVLl9Dzm2QIId4V0oLSSO8D1MiRI3OkJSYmcvToUVq2bKmDGgkhRMFIF59meh+gbt++rfZeoVBgbGyMj48Pffr00VGthBBCe+9Yz53W9D5AbdiwIddld+/ezfE4YiGEeNNIC0ozvZ8k4eTkRHx8fI70f//9l+bNm+ugRkIIUTCGBgZav94letmC2rNnD4cOHQJAqVTi7+9PkSJF1PLExMRo9cx7IYTQtXcr7GhPLwNU1apVCQ4OVs3Si4mJwcjov11RKBRYWFgwY8YMXVVRCCG0ZiBdfBrpZYAqUaIEwcHBAHh5eREYGIiVlZWOayWEEC9GxqA00/uW5YYNGzhx4gQHDhxQpY0fP54///xTh7USQgjtGSgUWr/eJXofoLZt28bgwYO5deuWKi0tLY0BAwawZ88eHdZMCCG0Iw8s1Ewvu/iyW7VqFZMmTaJLly6qtFmzZlG9enWWLl1Kq1atdFg7IYTIn9E7Fni0pfctqNu3b1O7du0c6XXr1uXGjRs6qJEQQhSMtKA00/sAVbJkScLDw3OkR0ZGYmtrq4MaCSFEwcgYlGZ638XXo0cPpk+fzo0bN3B1dQXg3LlzrF+/nkGDBum4dkIIkb93K+xo760IUCkpKaxdu5YVK1YAYGtry/Dhw2nRooWOayeEEPl711pG2tL7AAXg4+ODj48PDx48wNjYmKioKDZv3szMmTM5d+6crqsnhBB5etduYaSttyJAATx+/JjQ0FC2bNnC1atXMTExwdPTU9fVEkKIfEkLSjO9D9vnzp1j3LhxNGzYkOnTp3P16lW8vb05cOAAU6ZM0XX1hBAiX4oCvAoiNjaWYcOG4e7ujpubG/369ePixYuq5efPn8fLy4uqVavSuHFjVq1apbb+s2fPWLhwIQ0aNMDV1ZW+ffty/fp1tTyFUUZu9DJApaSksH37djp16kSXLl3Yt28fzZs3JygoCENDQ7p06YK1tbWuqymEEFp5FbP4lEolX3zxBXfu3GHVqlVs374dU1NTevfuzZMnT4iPj6d3796UKVOGH374gcGDB7Nw4UK2bt2qKiMwMJDNmzfj7+/P999/j6GhIT4+PqSmpgIUShl50csuvoYNG/Ls2TMaNmyIn58fjRs3xsTEBEAe8y6E0Duvoovv3r17lCtXjq+//hoHBwcAvvrqK9q3b090dDTHjh3D2NiYyZMnY2RkRLly5bh+/TrLly+na9eupKWlsXr1aoYPH06jRo0ACAgIoH79+uzdu5cOHTqwdevWly4jz+NS6EflNUhPT8fCwgJTU1OePn1Kenq6rqskhBAv7FVcqGtjY0NAQIAqON27d49Vq1Zha2tLxYoViYiIoEaNGmpPgnB3d+fmzZvExsZy/vx5kpKS1G6EYGlpSaVKlYiIiAAolDLyopctqLCwMPbt28f27dsJCQnB1NSURo0a0apVq3fuSmshhP4zLMD3VkJCAgkJCTnSrayscn2qw+jRo9mxYwcmJiYsXboUCwsLYmNjKV++vFq+rJsb3L59m7i4OADs7Oxy5Ll9+zZAoZSRF70MUGZmZnh6euLp6cm1a9fYvn07P/74I/v370ehULBq1Sp8fX0pV66crqsqhBD5KkgX37p161i8eHGO9IEDB+Z6cwIfHx969OjBpk2bGDBgAMHBwaSkpKiGRrJkvU9NTSU5OVktLXuetLQ0gEIpIy96GaCyK1u2LMOHD2fYsGH88ccfhISEEBoays6dO6lduzZr1qzRdRWFECJPBQlQvXr10ngJTV7PxKtQoQIA06ZN48yZM2zYsAFTU9McQSLrvbm5Oaampqq07AEmLS1N9bTywigjL3ofoLIYGBjg4eGBh4cH8fHx7Nixg5CQEF1XSwgh8lWQoYm8uvKyi4uL49ixY7Rp00ZVvoGBAeXLlyc2NhZ7e3tVF1z2dQDs7e1VE87i4uKwtLRUy5PVrVcYZeRFLydJ5Mfa2hofHx92796t66oIIUS+DArw0tbt27cZPnw4kZGRqrSnT5/y999/U65cOWrWrElkZKTaJLPw8HDKli2LjY0NH3/8MZaWlhw/fly1PDExkb///ptatWoBFEoZ+R0XIYQQOvQqZvFVrlwZd3d3Jk6cSEREBNHR0YwaNYqHDx/Su3dvOnXqRHJyMmPHjuXSpUvs3LmTtWvX4ufnB2SOE/Xs2ZOAgAB+/fVX/vnnH4YOHYqdnR3NmzcHKJQy8jwuSrlwKFeKZqV0XQXxBlH+EgNASkaSjmsi3iSmhvmPpeTnm8Mjtc47t/4srfM+evSIOXPmcODAAR4/fkyNGjUYOXIkjo6OQOadeKZNm0ZUVBQ2Njb07t0bb29v1foZGRkEBAQQEhJCcnIy1atXZ9KkSZQuXVqVpzDKyI0EKCGE0LHhYaO0zjun3nevsCZvlrdmkoQQQugrA3kilEYSoPIgXTkiu6yuHDkvRHaF0cUnNxjQTAKUEELomDxuQzMJUEIIoWMGCplQrYkEKCGE0DFpQWkmAUoIIXRMIZekaiQBSgghdExaUJpJgBJCCB2TWXyaSYASQggdU8h1UBpJgBJCCB0zNJAxKE0kQAkhhI4ZyCQJjSRACSGEjskYlGYSoIQQQsckQGkmAUoIIXRMbharmQQoIYTQMWlBaSYBSgghdMxQ7sWnkQQoIYTQMblZrGYSoIQQQseki08zCVBCCKFjcicJzSRACSGEjsnNYjWTACWEEDomkyQ0kwAlhBA6ppAApZEEKCGE0DEZg9JMApQQQuiYjEFpJgFKCCF0TKaZayYBSgghdEzuxaeZBCghhNAxAwNDXVfhjSRTR4QQQscMUGj9KojExESmT5+Oh4cHbm5udOzYkd9++021PCYmBj8/P6pVq0bdunWZPXs26enpamUEBwfTtGlTqlSpQrdu3Th79qza8sIoI/fjIoQQQqcUCoXWr4IYM2YMf/zxB/7+/uzcuZPmzZszcOBAjh49SlpaGj4+PigUCrZs2cLUqVPZvn07ixYtUq0fEhLC7NmzGTJkCCEhITg4OODr68v9+/cBCqWMPI+LUqlUFmiP3yEpGUm6roJ4g5gamgNyXgh1WefFywi+uEbrvD0q9NEq3927d6lfvz5BQUE0btxYld6rVy+KFy9O48aNGTNmDGFhYRQtWhSAbdu2MX36dI4ePYqpqSktWrSgadOmjBw5EoCMjAyaNWtGp06dGDBgAKGhoS9dRl6kBSWEEDr2KlpQZmZmrFixgho1auTY1qNHj4iIiMDJyUkVWADc3d1JSkoiKiqKe/fuce3aNdzd3VXLDQ0NqV69OhEREQCFUkZeZJKEEELoWEHGlhISEkhISMiRbmVlhZWVleq9paUlDRs2VMtz+vRpwsPDGT9+PIcPH8be3l5tua2tLQB37tzB1NQUQGOec+fOARAbG/vSZeRFApQQQuiYgUL7WXzr1q1j8eLFOdIHDhzIoEGDcl3v8uXLDBw4EFdXV7p168avv/6KhYWFWh4TExMAUlNTSU5OVkvLnictLQ2AlJSUly4jLxKghBBCxwrSdderVy88PT1zpGdvPT3vxIkTDBw4kBIlShAUFISxsTGmpqY5gkTWe3Nzc1XrR1Mec/PMcbfCKCMvMgYlhBA6pijAPysrK0qVKpXjlVuA2rVrF3369MHZ2ZkNGzZQrFgxILPbLS4uTi1v1nt7e3tKlCihlpY9j52dXaGVkRcJUEIIoWOvapp5aGgoI0eO5NNPPyUoKAhLS0vVspo1a3L+/Hm18axjx45hYWFBpUqVsLa2xsHBgePHj6uWZ2RkEBkZSa1atQqtjLwYTp48eXKB9vgdkq58qusqiDeIkYExIOeFUJd1XryMCw+jtG5BOf3PRasy79y5g4+PD9WrV2fy5MmkpqaSlJREUlIST58+xdHRkV27dhEeHo6joyNnz57F398fb29v6tatC2SOFS1atAg7OzuMjY2ZO3cu0dHRTJ8+HTMzM8qUKfPSZeRFxqCEEELHCjJJQls///wzycnJhIeH06BBA7Vl1apVY/PmzaxcuZIpU6bQtWtXrKys6Natm9q1SV27diUxMZEFCxbw8OFDnJ2dWb16NdbW1gAUKVLkpcvIi1yomwe5IFNkJxfqCk0K40LdXde3a523XZnOL709fSEtKCGE0DF5YKFmEqCEEELH5IGFmkmAEkIIHZMWlGYSoIQQQsfkibqaSYASQggdexWz+N4GEqCEEELH5JHvmkmAEkIIHZMuPs0kQAkhhI7JJAnN5F58Qs0fv/9BnRr1cqTv3bOPTu27ULOqO21btmPTxs06qJ14nTIyMlizai1tWrSjdvW69OjmxbHw/+6plpKSwqL5i1XLu3b8jH179+uwxvrrVd2LT99JgBIqp0+dZuyo8Tx/c5F9e/czZsRY6tWvy+Jli2jesjnfTZ/Frp27dFRT8TqsXb2ORfMX06Fje+YvmkfpD0vxVb8BnP/7HwCmTZnO95u/p4d3d+Yvmke16m6M+mY0+/f+rOOa6x9DhaHWr3eJdPEJ0tLSCN6wicCFSzAzM+PZs2eqZUqlkvlz5tP1864MGzEUAPfatfj31r8cPXKMdh3a6ara4hUL/fEnPm3dEl8/HwBqutfkVORpdoTsxM6+H7t2hjJp6kQ6dsp8NlHturWJuRnDurXrafFpc11WXe9IF59mEqAEhw+GsWrFaoYOH8Kjh49Yv3aDatnfUX9z+/YdOnfpqLbOjNnTX3c1xWuWlpaGRbbHMxgaGmL5niUJjx6R9CSJLt06U7duHbV1yjiU4a9zf73uquq9d63rTlvSxSdwruzMnp9308Ore44/lOgLF4HM8Yi+3j5Ur1KT5h4t+X7zVl1UVbxG3T7vyu5duzl29BiPHz8meMMmLl+6TMtPW1CqdCnGTxqH/Qf2qvwZGRmEHTpCWQcHHdZaPxXkgYXvEmlBCezsbHNd9uDBAwwNDfl6wBC6fdYVv6/8+P3X35k+dQZFixWl5actXmNNxevU9bMunDh2gn4+X6rSBn49gMYejTXmX7p4GVevXGVB4PzXU8G3iLSgNNPLANWoUSOtP9A//vjj1VbmLZeenk5GRgadunRUjUW4167FrVv/EhQYJAHqLaVUKun/xQCuXL7CuIljcPjoI44dPcayJUG8Z/Uen3XvppZ/9co1rAhaiXdvLxo3aaSjWusvA+nM0kgvA9TIkSMZO3YsH330EU2bNtV1dd5q5uaZz7qpV1996nmdurWZO2seT9OeYmzy8k8UFW+WUydPc+rkKWbPm0Xzls0AqFmrBukZ6QTMnU+79m0xtzBHqVQyZ9ZcNq4Lplu2iTSiYAwUEqA00csA1bp1a4oUKcLQoUOZMWMGH3/8sa6r9NYq/WFpAJ4+VX/MefrTdJRKJQoD6Zp4G8XeuQNAFdfKaulu1dxYs3Itt/79l3LlPmL8mInsDt2Nbz8fBg0ZqIuqvhWki08zvQ3bn3zyCa1btyYgIEDXVXmrVa9RjSJFivDL/l/U0g8ePISzizNGRnr5G0fko0zZMgCcOnVaLf3c2XMYGRlhZ2fH3Fnz2B26m29GDpPg9JJkkoRmev3tMn78eGJiYnRdjbeapaUlPv36siwwCAtLC2rUqM7+fT8TeSKSwGWLdF098YpUcq5Eg0YNmD5lBgmPEnD4yIGI4xGsWbmW7j0/51ZMDMEbNlG7bm2qurly9sxZ1boGBoa4VHbWYe31z7sWeLSl1wHK0tJSuvdeA7/+/bC0tGRL8BbWrV5PmbJlmLtgDvUa5Lwlknh7zAmYxeIFgawIWknCowQ+LPMho8aOpEu3ziwLDEKpVBJ+JJzwI+Fq65mZmREeeURHtdZT0sWnkUL5/H1thEpKRpKuqyDeIKaGmRNG5LwQ2WWdFy8j8t5RrfNWL14n/0xvCb1uQQkhxNtAZvFpJgFKCCF0TMagNJMAJYQQOibTzDWTACWEEDomLSjN9DJA9ejRQ+u8wcHBr7AmQgjx8iRAaaaXI3Mffvih1i8hhHjTGSgMtH69qKCgID7//HO1tJiYGPz8/KhWrRp169Zl9uzZpKenq+UJDg6madOmVKlShW7dunH27NlCLyM3etmCmjFjhq6rIIQQheZVj0EFBwcTEBCAm5ubKi0tLQ0fHx8cHBzYsmULN2/eZOzYsRgZGTF0aOY9FUNCQpg9ezZTp07FycmJlStX4uvry969e3n//fcLpYy8vBXXQd27d48rV66QkZGhSktLS+PMmTN8/fXXL1yuXO8ispProIQmhXEd1PmHZ7TO61TMVeu8sbGxTJo0iWPHjmFvb0+xYsXYvHkzAKGhoYwZM4awsDCKFi0KwLZt25g+fTpHjx7F1NSUFi1a0LRpU0aOHAlkPvOrWbNmdOrUiQEDBhRKGXnRyxZUdjt37mTChAk8ffoUhUKReQPT//81UrJkyZcKUEII8Tq8qjGoqKgoLCws2LVrF4GBgVy/fl21LCIiAicnJ1VgAXB3dycpKYmoqCjKlCnDtWvXcHd3Vy03NDSkevXqREREFFoZedH7ALV8+XLatGmDn58fXbt2Zc2aNcTGxvLtt98yaNAgXVdPCCHyVZAuvoSEBBISEnKkW1lZYWVlpZbm4eGBh4eHxnJiY2Oxt7dXS7O1zXx46Z07dzA1NQXQmOfcuXOFVkZe9D5A3bx5k0WLFlG2bFkcHR2Jj4/Hw8ODGEo1UQAADKxJREFU9PR0li1bRvv27XVdRSGEyFNBWlDr1q1j8eLFOdIHDhxYoB/lKSkpWFhYqKWZmJgAkJqaSnJyslpa9jxpaWmFVkZe9D5AmZiYqHa+TJkyXLhwgQYNGuDi4qLWnBVCiDdVQWbn9erVC09Pzxzpz7ee8mNqapojSGS9Nzc3V7V+NOXJepBpYZSRF72cZp6di4sLW7ZsAaBChQqEhYUBcPHiRYyN5UmvQgh9oND6ZWVlRalSpXK8Chqg7O3tiYuLU0vLem9vb0+JEiXU0rLnsbOzK7Qy8qL3AWrQoEEEBwezatUq2rZtS1RUFC1atGDIkCF88sknuq6eEELkS6FQaP0qLDVr1uT8+fNq41nHjh3DwsKCSpUqYW1tjYODA8ePH1ctz8jIIDIyklq1ahVaGXkxnDx58uRC2FedKVGiBJ6enpQtWxZ7e3uaNGnC48ePadq0KV9//TWGhoYvXHa68mn+mcQ7w8ggs0Uu54XILuu8eBkP0+5r/UTd/xUp/kLb+PXXX3n06BGdO3cGModEdu3aRXh4OI6Ojpw9exZ/f3+8vb2pW7cukDmEsmjRIuzs7DA2Nmbu3LlER0czffp0zMzMCqWMvLwV10G9KnK9i8hOroMSmhTGdVBXH0drndfhvYovtI3Ro0dz/fp11XVQANevX2fKlCmcOHECKysrOnXqxODBgzEw+K9zbfXq1axbt46HDx/i7OzMuHHjcHZ2LtQycqP3Acrb2zvP5evXr3/hsuWLSGQnAUpoUhgB6lriRa3zlrWs8NLb0xd6P4vv+YG29PR0rl+/zpUrV/INXkII8SYw0P/pAK+E3geo2bNna0wPCAjQeDGbEEK8aeR5UJq9tWG7c+fO7N69W9fVEEKIfGk7QeJdeyyH3regcnPp0iX0fHhNCPGOkBaUZnofoLLukJtdYmIiR48epWXLljqokRBCFMy71jLSlt4HqNu3b6u9VygUGBsb4+PjQ58+fXRUKyGE0J4EKM30fpp5Xu7evYuNjc0Lry/TiUV2Ms1caFIY08zvJN/UOq+9WemX3p6+0PtJEk5OTsTHx+dI//fff2nevLkOaiSEEAWl/b343iV62cW3Z88eDh06BIBSqcTf358iRYqo5YmJidHqbrlCCKFr71bY0Z5eBqiqVasSHBysmqUXExODkdF/u6JQKLCwsGDGjBm6qqIQQhSAhChN9H4MysvLi8DAwALfal4bMtYgspMxKKFJYYxBxaX8q3VeW9MSL709faH3Y1AbNmzgxIkTHDhwQJU2fvx4/vzzTx3WSgghtCcX6mqm9wFq27ZtDB48mFu3bqnS0tLSGDBgAHv27NFhzYQQQjsSoDTT+y6+li1b4uPjQ5cuXdTSv//+ezZu3EhoaOgLly1dOSI76eITmhRGF9+9lDta5y1uav/S29MXet+Cun37NrVr186RXrduXW7cuKGDGgkhRMHo4om6+kDvA1TJkiUJDw/PkR4ZGYmtra0OaiSEEKIw6OU08+x69OjB9OnTuXHjBq6urgCcO3eO9evXM2jQIB3XTggh8veujS1pS+/HoABWrVrF2rVruXv3LgC2trb4+fnRokULihcv/sLlyliDyE7GoIQmhTEG9SD1rtZ5/1fkxW/fpm/eigCV5cGDBxgbGxMVFcXmzZv57bffOHfu3AuXJ19E/9fe3YY01TZwAP+v3Jpu5rtiYJYLX4LSwMQPpmEgZQn1QcgKmxYqlJVGKWhFWKRQqZVYkQmSL5koZfZCQRYGKdEX8YUR+QaVVvL4zFtrrXl/EMd8nN17ct2ds/1/MNDL61zX5eHi/LdzrrNDphhQZI41Auo/us8W13WV/fqbbrER/Sm+GVqtFs3Nzairq0NfXx9kMhl27Njxp4dFRGQBnuIzR/QB1dnZibq6Ojx48ACTk5OQSCRITk5Geno63N3d//TwiIj+EePJPFEG1NevX3H//n3U1taiq6sLCoUCcXFxiI+Px4EDB5CYmMhwIiIRYUSZI8qAio6OhsFgQHR0NNLT07Fx40bIZDIA4GPeiUh07O3+JkuJ8j4ovV4PhUIBuVyO79+/Q6/X/+khERH9Mn7VkXmi/AT18uVLPHr0CA0NDWhsbIRcLkdMTAzi4+P5ToSIRIjHLXNEv8y8v78fDQ0NuHv3Lj59+gSJRILt27dj//79UKlUC2qby4nJFJeZkznWWGY+/n3M4rpKqcuC+xML0QfUDIPBgNbWVjQ2NqK1tRU/fvxAZGQkKisrf7lNHojIFAOKzLFGQP2l/6/FdRUO1n/2nVDZTECZGh0dRVNTExobG9HS0vLL7fBARKYYUGSOdQJKa3FdhYPzgvsTC5sMKGvhgYhMMaDIHGsE1IR+3OK6Tg7KBfcnFqJcJEFEZEu4uMs8BtRPWOOdEdkezguifwdP8RERkSCJ8kZdIiKyfQwoIiISJAYUEREJEgOKiIgEiQFFRESCxIAiIiJBYkAREZEgMaCIiEiQGFBERCRIDCgRiY2NRVBQkPEVEhKC8PBwqNVqvHnzxur9DQwMICgoCO3t7QCA3NxcJCUlWbTt1NQUmpqa8OXLl3nrGAwGXLp0CRs2bEBoaChSU1MxMDBglbHbE1ubF6auXbtmcdtkexhQIrN37160tbWhra0Nz58/R01NDeRyOVJTU/H+/fvf2ndeXh7Ky8stqvvq1Svk5uZicnJy3jplZWWora3FmTNncPv2bSxevBj79u3Dt2/frDVku2FL82JGdXU1iouLFzo8EjEGlMg4OjrCy8sLXl5e8Pb2RmBgIE6fPo3JyUk8efLkt/bt7OwMV1dXi+r+01c86nQ63Lx5EwcPHkRMTAyCg4NRXFyMz58/4+HDh9YYrl2xlXkBAMPDw8jIyMD58+excuXKhQ6PRIwBZQMcHKa/lH7JkiUApk/5FBYWYtu2bYiIiMCLFy8AAA0NDdiyZQvWrFmDzZs34/r169Dr9cZ2NBoNkpOTERYWhri4OHR0dMzq539P5QwNDSEzMxPh4eGIiIhAZmYmPn78iPb2dqSkpAAANm3ahMuXL88Zc09PDyYmJhAZGWksUyqVWL16NV6/fm2lPWPfxDgvAKCrqwsKhQL37t1DaGio9XYIiQ4ftyFyw8PDKCwshJOTE6Kjo43lt27dQllZGTw9PREQEICamhqUlJTgxIkTCAsLg0ajQUFBAYaGhlBQUACtVgu1Wo21a9eivr4eIyMjyM/Pn7dfrVaL3bt3Q6VSobKyElKpFAUFBcjIyEB9fT1KSkpw5MgR3LlzByqVyuy4AcDHx2dWube3Nz58+GClvWO/xDovgOkgjY2Ntfo+IfFhQIlMRUUFqqqqAAB6vR46nQ4BAQEoKSnBsmXLjPWioqIQExNj/P3q1atIT09HQkICAMDPzw86nQ7Z2dnIzs7G48ePMTExgaKiIri4uCAwMBC5ubk4fPiw2XG0tLRgbGwMFy9ehJubGwDg7NmzqK+vh06ng4uLCwDA3d0dCoVizvYz1yBkMtmscplMBp1O96u7x27ZyrwgMsWAEpnExESo1WoAwKJFi+Dq6gpnZ+c59fz9/Y0/j46OYnh4GKWlpbhy5Yqx3GAwwGAwoL+/HxqNBn5+fsYDCACsW7du3nFoNBosX77ceBACgBUrVuD48eMW/R9yuRzA9LUo05DS6XRwcuIDAf9ftjIviEwxoERm6dKlsw4y85kJAGD6gAMAOTk5iIqKmlPXx8cHzc3Nc8qlUum87f/sb5bw9fUFAIyMjECpVBrLR0ZGsGrVqgW1bY9sZV4QmeIiCTvg4eEBDw8PDA4Owt/f3/h69+4dLly4AL1ej5CQEAwMDGB0dNS4XWdn57xtqlQqDA4OYmxszFjW19eH9evX4+3bt5BIJD8dU3BwMJRK5awL7uPj4+ju7kZERMQC/luylBDnBZEpBpQdkEgkSEtLQ3V1NaqqqjA4OIhnz54hLy8PwPTqua1bt8LT0xNHjx5Fb28vOjo6cO7cuXnbTEhIgJubG44dO4aenh50d3cjLy8P/v7+UKlUxusLPT090Gq1c7aXyWTYs2cPiouL8fTpU/T29iIrKws+Pj6Ii4v7PTuCZhHivCAyxYCyE2q1Gvn5+aitrUV8fDxOnTqFhIQEFBUVAQCcnJxQVVUFqVSKnTt3IicnB2lpafO25+joiIqKCgDArl27kJKSAl9fX5SXl0MikSA4OBixsbHIyspCaWmp2TYOHTqExMREnDx5EklJSZiamsKNGzfmLJyg30eI84JohmTKkjvniIiI/mX8BEVERILEgCIiIkFiQBERkSAxoIiISJAYUEREJEgMKCIiEiQGFBERCRIDioiIBIkBRUREgvQ3ZSjBEC1U+UgAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8806,6 +9760,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9599318017131759\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8813,14 +9768,37 @@
       "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55782  1081]\n",
-      " [    9    89]]\n"
+      "[0]\tvalidation_0-error:0.037318\tvalidation_1-error:0.027282\n",
+      "[5]\tvalidation_0-error:0.0271\tvalidation_1-error:0.009884\n",
+      "[10]\tvalidation_0-error:0.022251\tvalidation_1-error:0.008813\n",
+      "[15]\tvalidation_0-error:0.019631\tvalidation_1-error:0.008532\n",
+      "[20]\tvalidation_0-error:0.01643\tvalidation_1-error:0.008515\n",
+      "[25]\tvalidation_0-error:0.015131\tvalidation_1-error:0.008708\n",
+      "[30]\tvalidation_0-error:0.013686\tvalidation_1-error:0.008216\n",
+      "[35]\tvalidation_0-error:0.012165\tvalidation_1-error:0.007865\n",
+      "[40]\tvalidation_0-error:0.010901\tvalidation_1-error:0.007356\n",
+      "[45]\tvalidation_0-error:0.009556\tvalidation_1-error:0.006864\n",
+      "[50]\tvalidation_0-error:0.008329\tvalidation_1-error:0.006197\n",
+      "[55]\tvalidation_0-error:0.007399\tvalidation_1-error:0.005829\n",
+      "[60]\tvalidation_0-error:0.006074\tvalidation_1-error:0.005618\n",
+      "[65]\tvalidation_0-error:0.004948\tvalidation_1-error:0.005302\n",
+      "[70]\tvalidation_0-error:0.004841\tvalidation_1-error:0.005197\n",
+      "[75]\tvalidation_0-error:0.004808\tvalidation_1-error:0.005161\n",
+      "[80]\tvalidation_0-error:0.004805\tvalidation_1-error:0.005126\n",
+      "[85]\tvalidation_0-error:0.004801\tvalidation_1-error:0.005091\n",
+      "[90]\tvalidation_0-error:0.004797\tvalidation_1-error:0.005126\n",
+      "[95]\tvalidation_0-error:0.004794\tvalidation_1-error:0.005126\n",
+      "[99]\tvalidation_0-error:0.004786\tvalidation_1-error:0.005126\n",
+      "[[56588   275]\n",
+      " [   17    81]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8832,6 +9810,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9781404428187046\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8839,14 +9818,37 @@
       "Getting TRAIN DF for response 1 from index 0 to 392\n",
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
+      "Number of Xs and Ys for SMOTE:\n",
+      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55747  1116]\n",
-      " [   13    87]]\n"
+      "[0]\tvalidation_0-error:0.036542\tvalidation_1-error:0.036796\n",
+      "[5]\tvalidation_0-error:0.025344\tvalidation_1-error:0.015888\n",
+      "[10]\tvalidation_0-error:0.020081\tvalidation_1-error:0.013518\n",
+      "[15]\tvalidation_0-error:0.017747\tvalidation_1-error:0.011938\n",
+      "[20]\tvalidation_0-error:0.015408\tvalidation_1-error:0.01206\n",
+      "[25]\tvalidation_0-error:0.013066\tvalidation_1-error:0.011797\n",
+      "[30]\tvalidation_0-error:0.011675\tvalidation_1-error:0.011148\n",
+      "[35]\tvalidation_0-error:0.010349\tvalidation_1-error:0.01041\n",
+      "[40]\tvalidation_0-error:0.009294\tvalidation_1-error:0.009691\n",
+      "[45]\tvalidation_0-error:0.008334\tvalidation_1-error:0.009041\n",
+      "[50]\tvalidation_0-error:0.007544\tvalidation_1-error:0.008532\n",
+      "[55]\tvalidation_0-error:0.007213\tvalidation_1-error:0.008093\n",
+      "[60]\tvalidation_0-error:0.006927\tvalidation_1-error:0.007654\n",
+      "[65]\tvalidation_0-error:0.006872\tvalidation_1-error:0.007514\n",
+      "[70]\tvalidation_0-error:0.006859\tvalidation_1-error:0.007443\n",
+      "[75]\tvalidation_0-error:0.006852\tvalidation_1-error:0.007443\n",
+      "[80]\tvalidation_0-error:0.006852\tvalidation_1-error:0.007443\n",
+      "[85]\tvalidation_0-error:0.00685\tvalidation_1-error:0.007443\n",
+      "[90]\tvalidation_0-error:0.00685\tvalidation_1-error:0.007443\n",
+      "[95]\tvalidation_0-error:0.006848\tvalidation_1-error:0.007443\n",
+      "[99]\tvalidation_0-error:0.006843\tvalidation_1-error:0.007443\n",
+      "[[56453   410]\n",
+      " [   14    86]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8858,18 +9860,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9755466647908131\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9808185939143138, 'sensitivity': 0.9005306122448979, 'specificity': 0.9809577405342665, 'precision': 0.07591691377712417, 'f1': 0.13999568379061458, 'auc': 0.9407441763895822, 'actual_accuracy': 0.9117886178861788}\n"
+      "{'accuracy': 0.9953828580497406, 'sensitivity': 0.8577142857142857, 'specificity': 0.9956210541125161, 'precision': 0.27053739895791484, 'f1': 0.40696744377358723, 'auc': 0.9748664075165265, 'pr_auc': 0.8183695802063783, 'actual_accuracy': 0.96869918699187}\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -8877,28 +9880,29 @@
     }
    ],
    "source": [
-    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
-    "results = modelpipeline.run_model(df, varlist2, 'Class', True, 'naive', 'SVM_Linear0.5', 'Linear SVM with C=0.5, naive sampling and remove V24', 5)"
+    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'smote', 'XGBoost', 'XGBoost with SMOTE sampling', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9808185939143138,\n",
-       " 'sensitivity': 0.9005306122448979,\n",
-       " 'specificity': 0.9809577405342665,\n",
-       " 'precision': 0.07591691377712417,\n",
-       " 'f1': 0.13999568379061458,\n",
-       " 'auc': 0.9407441763895822,\n",
-       " 'actual_accuracy': 0.9117886178861788}"
+       "{'accuracy': 0.9953828580497406,\n",
+       " 'sensitivity': 0.8577142857142857,\n",
+       " 'specificity': 0.9956210541125161,\n",
+       " 'precision': 0.27053739895791484,\n",
+       " 'f1': 0.40696744377358723,\n",
+       " 'auc': 0.9748664075165265,\n",
+       " 'pr_auc': 0.8183695802063783,\n",
+       " 'actual_accuracy': 0.96869918699187}"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8909,24 +9913,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V25', 'V26', 'V27', 'V28', 'Amount', 'Class']\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(varlist2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -8937,16 +9924,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 0 and from index 98 to 492\n",
       "Getting TEST DF for response 0 from index 0 to 56863\n",
       "Getting TRAIN DF for response 0 from index 0 to 0 and from index 56863 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55775  1088]\n",
-      " [    7    91]]\n"
+      "[0]\tvalidation_0-error:0.011594\tvalidation_1-error:0.006671\n",
+      "[5]\tvalidation_0-error:0.002537\tvalidation_1-error:0.003318\n",
+      "[10]\tvalidation_0-error:0.001266\tvalidation_1-error:0.003002\n",
+      "[15]\tvalidation_0-error:0.000618\tvalidation_1-error:0.001738\n",
+      "[20]\tvalidation_0-error:0.000299\tvalidation_1-error:0.001229\n",
+      "[25]\tvalidation_0-error:0.000233\tvalidation_1-error:0.001018\n",
+      "[30]\tvalidation_0-error:0.000198\tvalidation_1-error:0.00093\n",
+      "[35]\tvalidation_0-error:0.000145\tvalidation_1-error:0.000825\n",
+      "[40]\tvalidation_0-error:0.000134\tvalidation_1-error:0.000737\n",
+      "[45]\tvalidation_0-error:0.00013\tvalidation_1-error:0.000737\n",
+      "[50]\tvalidation_0-error:6.2e-05\tvalidation_1-error:0.000579\n",
+      "[55]\tvalidation_0-error:6.2e-05\tvalidation_1-error:0.000544\n",
+      "[60]\tvalidation_0-error:5.3e-05\tvalidation_1-error:0.000544\n",
+      "[65]\tvalidation_0-error:5.3e-05\tvalidation_1-error:0.000527\n",
+      "[70]\tvalidation_0-error:4.4e-05\tvalidation_1-error:0.000544\n",
+      "[75]\tvalidation_0-error:3.7e-05\tvalidation_1-error:0.000509\n",
+      "[80]\tvalidation_0-error:3.3e-05\tvalidation_1-error:0.000527\n",
+      "[85]\tvalidation_0-error:2.6e-05\tvalidation_1-error:0.000527\n",
+      "[90]\tvalidation_0-error:2.4e-05\tvalidation_1-error:0.000527\n",
+      "[95]\tvalidation_0-error:2e-05\tvalidation_1-error:0.000527\n",
+      "[99]\tvalidation_0-error:2e-05\tvalidation_1-error:0.000527\n",
+      "[[56852    11]\n",
+      " [   19    79]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8958,6 +9964,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9874108446114848\n",
       "Iteration 1 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8965,16 +9972,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 98 and from index 196 to 492\n",
       "Getting TEST DF for response 0 from index 56863 to 113726\n",
       "Getting TRAIN DF for response 0 from index 0 to 56863 and from index 113726 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55517  1346]\n",
-      " [   10    88]]\n"
+      "[0]\tvalidation_0-error:0.006456\tvalidation_1-error:0.012851\n",
+      "[5]\tvalidation_0-error:0.001332\tvalidation_1-error:0.002633\n",
+      "[10]\tvalidation_0-error:0.001323\tvalidation_1-error:0.002668\n",
+      "[15]\tvalidation_0-error:0.000774\tvalidation_1-error:0.001756\n",
+      "[20]\tvalidation_0-error:0.000556\tvalidation_1-error:0.001264\n",
+      "[25]\tvalidation_0-error:0.000411\tvalidation_1-error:0.000983\n",
+      "[30]\tvalidation_0-error:0.000319\tvalidation_1-error:0.000878\n",
+      "[35]\tvalidation_0-error:0.000253\tvalidation_1-error:0.000808\n",
+      "[40]\tvalidation_0-error:0.000189\tvalidation_1-error:0.000597\n",
+      "[45]\tvalidation_0-error:0.00016\tvalidation_1-error:0.000597\n",
+      "[50]\tvalidation_0-error:0.000127\tvalidation_1-error:0.000509\n",
+      "[55]\tvalidation_0-error:8.8e-05\tvalidation_1-error:0.000492\n",
+      "[60]\tvalidation_0-error:6.4e-05\tvalidation_1-error:0.000439\n",
+      "[65]\tvalidation_0-error:6.2e-05\tvalidation_1-error:0.000421\n",
+      "[70]\tvalidation_0-error:5.5e-05\tvalidation_1-error:0.000421\n",
+      "[75]\tvalidation_0-error:4.8e-05\tvalidation_1-error:0.000421\n",
+      "[80]\tvalidation_0-error:3.7e-05\tvalidation_1-error:0.000421\n",
+      "[85]\tvalidation_0-error:2.9e-05\tvalidation_1-error:0.000404\n",
+      "[90]\tvalidation_0-error:2e-05\tvalidation_1-error:0.000386\n",
+      "[95]\tvalidation_0-error:1.1e-05\tvalidation_1-error:0.000369\n",
+      "[99]\tvalidation_0-error:1.1e-05\tvalidation_1-error:0.000369\n",
+      "[[56855     8]\n",
+      " [   13    85]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlUAAAERCAYAAABSJ1JVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd1gTyRsH8G9CkSZWENspliCI9GJBQVT0LKdi74ooeIoeB/YOiF1QxAbYUWzInRX17AUQ1NOzV4QTRQFFpITA/v7gl5UQSgIL4vl+niePZnZ2djYJs+/OzO7yGIZhQAghhBBCKoT/rStACCGEEPJfQEEVIYQQQggHKKgihBBCCOEABVWEEEIIIRygoIoQQgghhAMUVP0H0AWc5Fui31/1R98RIVVD5qDq/v37mDNnDuzt7WFkZAR7e3vMmTMHL168qLTKxcTEoE+fPjA0NETv3r05KzcgIAB6enoQiUSclVmS8PBw6OnpQU9PD48ePSo2z5MnT9g8iYmJcpV/6NAh+Pr6lpnP3t4enp6ecpVdVGV9H2JjxozBiBEjSs0zZ84cdOnShfNtV4asrCwEBgaib9++MDIygpmZGYYMGYK9e/eyv72kpCTo6+tj0aJFJZYjzrNhwwYABd+lnp4epk2bVuI6bm5u0NPTw5w5czjbn+joaOjp6eH69esAgPT0dMyZMwdRUVFsnor+ziqjnTl58iT69esHIyMj9OjRA7t27SpzndTUVPZvsvCrXbt25a7Ht/D27Vu4uroiISHhW1elShRtQ7ho96qLqjxufQ/K03ZmZ2cjICAAPXv2hLGxMXr16oXAwEAIhcISywgODpbr2KwoS6awsDB4e3vDzMwMbm5uaNCgARISErBr1y4MGjQIwcHBMDc3l2mD8lixYgV7YKpduzZn5Q4aNAgdOnSAoqJMu88JPp+PU6dOoU2bNlLLjh8/Xu5yN2/eDDMzszLzrV+/HhoaGuXeDlB534c8XF1dMXLkyG+ybXkwDANXV1c8ffoUEydOhEAggFAoRExMDFasWIHY2Fj4+/ujYcOG6NSpE06fPo0FCxZAWVlZqqyIiAgABb9bMT6fj8uXLyMjI0Pqe83IyMClS5c43ycDAwOEhoZCT08PAPDw4UMcPXoUv/zyCyflV0Y7ExkZid9//x1Dhw6Fh4cHoqKi4OvrC4ZhMH78+BLXE58A+fv7Q0tLi03n87+vzv3r16/jwoULmDt37reuyjfBRbtHqqfytJ3z58/H+fPnMWXKFOjr6+PevXvYsmULnjx5gvXr10utX1J6acqMKu7cuQMvLy8MHz5cKiL8+eefMXjwYMyaNQtnzpyBgoKCXBsvy8ePH2FqagpbW1tOy23UqBEaNWrEaZllMTc3x+nTp+Hu7i617MSJEzAwMMCDBw8qbftcnGFX1vchj+bNm3+zbcsjLi4OUVFR2LZtm8Tn1a1bN9SpUwd+fn5wdnaGoaEhBg8ejCtXruDSpUvo0aOHVFkRERHo1KkTGjduzKaZmZkhLi4O58+flwpqzp49C01NTc73qWbNmrCwsOC8XKDy2hk/Pz/Y2dnBy8sLAGBnZweRSITAwECMHDmy2IYYKAgYVVVV0bNnz+8ukCJffW89i0Q+8rSd8fHxOH78OBYvXsyemHfu3BkKCgpYt24dEhIS0LRpU3ZdoVCImTNnol69ekhKSpK5TmW2FsHBwahZsyZmzpwptUxTUxNz5sxB3759kZ6ezqafPHkSgwYNgqmpKTp27IiFCxciLS2NXR4QEIAePXrg6tWrGDhwINq1awd7e3vs3LkTAJCYmAg9PT38+++/OH78OPT09BAeHs4OpcXHx0vUY8SIERgzZgz7/uHDh3BycoKlpSVMTEwwcuRIXLt2TWL7RbtRK1rnsvz888949eqVVOB0584dvH37Fr169ZJa59y5cxg1ahRMTU1haGiIXr16Yc+ePexy8Wd07NgxtvdAXM9t27bB2toaHTt2xNu3byW6wVesWAE9PT2Jz+TcuXPQ09Mrdn9K+j4A4NWrV5g+fTpsbGxgbGyM0aNH4+bNm1Lr7t69G/369YOxsTF2794t02dWnKLDf/b29ggICICfnx86d+4MIyMjjBw5Ev/884/Ees+ePYOrqyvMzMxgamoKFxcXqSGlxMREzJo1CzY2Nmjbti06dOiAWbNmITU1lc0zZswYzJo1Cx4eHjA1NcWwYcOKreeHDx9K3AdHR0f8/vvv7Bm0vb096tatiz///FMq761bt/Dq1SsMGTJEIr1hw4YwMTHBqVOnpNY5fvw4evXqVWowIP6+7969y6adOXMGenp62L59O5uWkpKCNm3a4MSJExLDf+Hh4Rg7diwAYMKECRLDjHl5efDz84ONjQ2MjIwwYsQI3L9/v8S6APK3M8UNzRV+AQXf58uXL6X+tn7++Wekp6cjLi6uxPo8fPgQAoGgwgEVwzDYuHEjevToAUNDQ9ja2sLHxweZmZlsHj09PYSGhmLu3LkwNzeHpaUlvLy8kJOTAz8/P3Tq1AkWFhaYPn26RJuUl5eHffv2sX9Xtra2WLlyJbKzswEUtAXiHioHBwcEBAQAAPLz8xEcHAwHBwcYGhqie/fuCAkJKXPe1Y0bNzB8+HCYmprC3NwcEydOlPo7O3ToEBwdHWFiYgIjIyP0798fJ0+eZJeLf0M3btzAuHHjYGxsDDs7Oxw4cAApKSn4/fffYWpqChsbG6xZs4atk7gdOXbsGFxdXdn9DQgIQF5eXol1Ltzuics4c+YMfv/9d5ibm8PMzAzu7u4Sf+MAEBISgm7durHtyaVLl6Cnp4fo6OgSt5WdnY21a9eyn6uZmRkmTJgg0ebLehz5/PkzFi5ciPbt28PMzAxLliwpdYhKTE9PD5s2bcKwYcNgZGSElStXAigYBvbw8IC1tTXbTt+5c0dq3cr4HYqPGQ8fPpTY3s2bNyWmE3z69AmLFy9Gp06d0K5dOzg6OpbZ4y5P25mdnY3BgwfDzs5OIl+rVq0AAO/evZNIDwgIgFAohLOzc6l1KKrUFoNhGFy5cgUdOnSAqqpqsXns7e3h7u6OOnXqAAA2bdoEd3d3GBgYwM/PD1OmTEFkZCTGjh2LrKwsdr0PHz5g/vz5GDx4MDZv3oy2bdti+fLluHbtGrS1tREaGgotLS3Y2NggNDRU5t6RjIwMTJgwATVq1MDq1avh7+8PJSUluLi4lDivgIs6l6VDhw6oW7eu1EHw+PHj7LLCLl68iKlTp6J169YICAiAv78/GjduDB8fH8TGxgKA1GcklpSUhIiICKxatQqenp7Q0dGRKNvd3R0tW7bEokWLkJWVhZSUFCxcuBA2NjYYN26cVN1L+j6ePXsGR0dHvHr1CrNnz8aqVasAAOPHj8eNGzckyli9ejWGDx+OlStXct7TtWfPHty5cweLFy/G8uXL8e+//8LNzY1tbOPj4zF8+HC8efMG3t7e8PHxwbt37zBixAj2DCQ7Oxtjx47FkydPMG/ePGzbtg2jRo3C8ePHsXbtWontnTx5Ejk5OQgICICLi0uxdbKysoKGhgY8PDywatUqxMTEsI2MtrY2XFxc2F43ZWVl9O/fHxcvXpQ4OQGAo0ePol69erC3t5faRu/evXH16lVkZGSwaampqYiKikK/fv1K/cw6deqEGjVqsA0aAPb/hQ8cV65cgYKCAjp37iyxvq2tLRYsWAAAmDt3LlxdXdllkZGRuH37Nry8vODj44OEhAS4urqWePArTzsTGhpa6gsAnj9/DgDQ1dWVKKtZs2YAUOo8rUePHoFhGIwdOxbGxsawsrLCokWLJD5rWWzduhU7duzAhAkTEBQUhAkTJuDgwYNS8yDXrVsHoGC4qn///ggNDYWjoyMeP34MHx8fuLq64uzZs/Dz82PXWbRoEXx8fNClSxds2LABI0aMQGhoKFxdXcEwDAYNGsR+L35+fuwQiLe3N9atWwcHBwcEBgaiT58+WLNmDVavXl3ifrx+/Rqurq5o0aIFAgICsHz5cqSkpMDJyYn9TEJDQ7Fw4ULY2tpi06ZNWLFiBRQVFeHp6Yl///1Xojx3d3d06tQJAQEBaNasGZYsWYIxY8agQYMG8Pf3R+fOnREUFCQRkInrrqqqCn9/f/zyyy/YtGkT2+7IasGCBdDU1ISfnx+mT5+Os2fPYtmyZezyjRs3YvXq1WwgamBggOnTp5dZ7uzZs3Hw4EE4OTkhKCgIs2bNwpMnT+Du7i4RsJZ1HGEYBpMmTUJkZCTc3NywatUqJCQkYMeOHTLt36ZNm2BjYwN/f3/06dMHaWlpGD58OG7fvo1Zs2ZhzZo1UFBQwNixY6WC4sr4HXbv3h0aGhpS01yOHTuGBg0aoH379hAKhRg/fjxOnz6NKVOmYP369WjatClcXV1x/vz5EvdVnrZTT08Py5Ytkxql+uuvv6CoqIgWLVqwabdu3cKOHTuwcuVK1KhRQ6bPncWUIiUlhREIBMzq1atLy8b6+PEjY2hoyMyZM0ciPTo6mhEIBMyuXbsYhmGYDRs2MAKBgLl48SKbJzMzk2nbti3j5eXFpnXt2pXx8PBg3x85coQRCATMq1evJMofPnw4M3r0aIZhGObOnTuMQCBg4uLiJPbD19eXefLkicT2c3NzOa9zUYXrvHjxYqZ79+7sMpFIxHTq1Ik5evQoc/DgQUYgEDAJCQkMwzDM1q1bGXd3d4myUlNTGYFAwAQGBpb4GRVXz+Ly3b17lzEwMGDWrFnDTJ06lbG2tmaSk5NL3I/iypgxYwZjaWnJfPr0iU0TCoWMg4MDM2DAAIZhGCYhIYERCATMjBkzSi2bYRhm9OjRzPDhw0vNM3v2bKZz584SdercuTMjFArZNPFnee/ePYZhGMbDw4OxsrJi0tLS2Dzp6emMtbU1s3DhQoZhGObBgwfMsGHDmOfPn0tsz8XFReI7Gz16NGNgYMB8/vy5zP2Ji4tjHBwcGIFAwAgEAqZt27bMiBEjmJ07dzLZ2dkSeZ8+fcoIBALm4MGDbFp2djZjbm7OrFq1SiKv+HtITk5m2rRpwxw9epRdtnfvXqZbt24MwzBM586dmdmzZ5dYv4kTJ7J/NwzDMA4ODoyjoyNjZmbGiEQihmEYxt3dnRkzZgzDMAwTFRXFCAQC5tq1a8W+F9etU6dOEvsXGhrKCAQC5tGjR8XWQ952RlbHjx9nBAIB8+zZM4n0rKwsRiAQMFu2bCl2vezsbMbAwIAxNzdnwsLCmJiYGCYoKIgxMTFhRowYweTl5clch4kTJzITJkyQSDt8+DDbrjAMwwgEAvbvhWEYJjc3lzExMWFsbW2ZnJwcNn3SpElM3759GYb5+nsJCAiQKDs8PJwRCATMuXPnGIaRbjNfvnzJ6OnpSa23efNmRl9fn3nz5k2x+3HixAlGIBAwb9++ZdOePXvGrFy5kklKSmIYhmGWLVvGLFu2TGK9e/fuMQKBgImIiGAY5utvxtfXl81z69YtqTYiLy+PMTExYdtWcTtS+PfKMAzj7e3NGBgYsH/bRduQwm2WuIzp06dLlOHp6cmYmJgwDMMwX758YYyMjJglS5ZI5FmwYAEjEAiYqKioYj+fnJwcZvz48ex+ioWEhDACgYD9jGQ5jly+fJkRCATMmTNn2DwikYjp2bMne9wqiUAgYAYPHiyRtm7dOqZt27bMy5cv2TShUMj07t2bcXJykli3sn6Hc+fOZezs7Jj8/Hx2+1ZWVmzbJm6zo6OjJcpxcnJiHBwcStzfwnWQpe0s6syZM0ybNm0Yb29vNi0jI4Pp3r07s27dOom6iY/NZSm1p0o8d6G07tXC7ty5A6FQKHWWbGVlhcaNGyMmJkYivfCkU1VVVdSuXVuiW7w8WrduDS0tLUyZMgVLly7FX3/9BWVlZcydOxetW7f+pnXu3bs3Xr9+zZ4dREdH4/Pnz+jevbtU3smTJ2PdunXIzs7Go0ePcPr0aQQHBwOAzN3ApWnXrh1cXFwQHBzMnqkVnpAri5iYGHTp0kVi/o6SkhL69u2LBw8e4PPnz2y6QCCQq2x5GBkZQUlJiX3fsGFDAGB7GaOiomBtbQ0NDQ2IRCKIRCKoqqqiY8eOuHr1KgBAX18fYWFh0NXVRUJCAq5evYodO3bgxYsXUp93o0aNZJr8amZmhtOnT+PAgQOYPn06LCws8M8//8DX1xeOjo4SQw6tWrWCiYmJRDf2uXPn8PnzZwwePLjY8rW0tGBhYYHTp0+zacePH0efPn3KrBsAdO3aFbdv30ZWVhaSkpLw6tUrTJkyBRkZGbh//z7y8vJw7dq1YnvJSmNsbCxxdvfTTz8BgNSZpJi87QwA9nss6QUUDHMBAI/HK7aMktL5fD6Cg4Nx8OBBDBs2DJaWlnB2dsaSJUsQFxeHy5cvy1zPTp064dq1axg9ejR27tyJp0+fYtCgQezQqVjhdkVRURF16tRB27ZtJeZ81alTB58+fQIAtl0q2m7169cPCgoKUu2WWFRUFNt7UPjz6tGjB/Ly8iSu5CzMxMQEampqGDp0KFauXIlr166hSZMmmDVrFtsTPm/ePMybNw8ZGRm4d+8ejh8/jv379wOQbrMK76+43TE1NWXT+Hw+ateuze6vWP/+/SXe9+rVCyKRCLdv3y623sUperFDw4YN2bbizp07yM7OlhoyLqvnV1lZGTt27ED//v3x4cMHxMbG4tChQ7h48SKA0ve/6HEkJiYGCgoK6Nq1K5tHQUEBP//8s0z7V7StjYqKgkAgQJMmTdjvm8fjoWvXroiOjpaoW2X9DgcMGIA3b96wQ+5XrlzBx48fMWDAAAAFQ8t16tSBmZmZxO+ye/fuePXqlVRPZ2HlaTuBghEHd3d3WFhYYNasWWz6ihUroKamVurV1aUpdaJ6rVq1oK6uXuoO5eTkID09HVpaWuwHXb9+fal89evXl2pUVVRUJN7z+fwK309FTU0N+/fvx9atWxEZGYl9+/ZBWVkZDg4OWLJkCWrWrCmRvyrrbGFhgQYNGuDUqVMwNDTE8ePHYWdnV+wBOi0tDUuXLsXZs2fBMAyaNWvGThKWZXvF7U9RAwcOxKZNm1CrVi1YWlrKtA+Fffr0qdhATLztwkGVvAGbPIr7ToCvB9W0tDRERkaibdu2UusWDsZ27dqFrVu3IiUlBfXr14ehoSFUVVXZYTsxWT5bMR6PBxMTE5iYmAAAvnz5gh07diAgIABBQUGYPXs2m3fw4MFYuHAhkpKS0LBhQ4SHh8PKykpq+KqwPn36wMfHB58/f8bnz59x+/ZteHt7y1S3rl27wsvLCzdv3sT79++hra2Nbt26oX79+oiJiYFIJMLHjx/lDqqKDuEV/T6KkredAVDsd1nY48eP2WC/6JCd+H1JgbGSkhI6dOgglS4+yD18+FBqXkZJxo8fDw0NDRw5cgSrVq1CXl4emjVrBk9PTzg4OLD51NXVpdYt+jkWDgJLarfEB8KSAljxXJiiwYlY0XklYo0aNcK+ffsQFBSEw4cPY/v27VBTU4OjoyNmz54NZWVlJCQkYMmSJbh27RoUFRXRsmXLEk/uittfNTW1EvdXrEGDBhLvxdMmigZfpSnucxW3qeITnaLTMerVq1dmudevX8fy5cvx5MkTaGhooE2bNuy2irbZpR1HPn78CE1NTamr07W1tcusAyD9m0hLS0N8fHyJfzNpaWns51pZv0NLS0s0adIEJ06cgIWFBY4fP462bduyHR1paWlIS0srsY7v3r2TuFCnKHnbzs2bN2P9+vXsELQ4aLx06RKOHj2KAwcOgMfjQSQSse1Wfn4+8vLyyrxQpsyr/2xsbBAdHY3s7GypHwIAnDp1CrNnz8a2bdtQq1YtAAVjxkWj5eTkZBgbG5e1uVKJv8yiZ7QZGRkSl/g3bdoUPj4+YBgGjx49wsmTJxESEoJatWpJXVlU2XUujM/no1evXjh9+jRmzJiBs2fPlniPKQ8PDzx//hw7duyAiYkJlJWVkZWVhYMHD3JSF4ZhsGjRIjRs2BBfvnyBl5cX1qxZI1cZtWrVwvv376XSk5OTAQC1a9eWmgD6LdSsWRPW1talTjg8duwYfH19MXPmTDg6OrKN6owZMyQmZcpq+vTpeP/+PXumLqauro5p06YhMjISz549k1jWu3dv+Pr64tixY+jfvz9u3LiBFStWlLqdnj17wtvbG+fOnUNKSgoEAgE78bIsjRo1gkAgwPXr15Gamgpra2vweDxYWVkhJiYGGRkZaNmyJdvTVJnkaWdsbW1x+PDhMssUN6jx8fEwMjJi01+9egUAaNmyZbHrJSQk4PLly3BwcJA4GRAH1+J5XbLg8XgYMmQIhgwZgvT0dFy9ehXbtm2Du7s7Lly4IPOBsqjC7VbhA2Fubi7S0tJKrKM40NyxY4fUCSZQ+oFbX18f69atQ15eHu7evYujR49i7969aNSoESZMmIBJkyZBSUkJhw8fRps2baCoqIhnz57hjz/+kCqrpF7CshT9WxRfECJL0CMLca/bhw8fJEY2ymrHxHPOunfvjk2bNqFJkybg8XgIDQ3FlStX5KpD3bp18enTJ+Tm5kqc9JWnHQIK2j9zc/MSb6shz++5KFl/hzweD7/88gvCwsLg4eGB8+fP47fffpOoY9OmTSXmahVW2oklIHvbmZ+fj/nz5yM8PByOjo7w9vaWCF5PnTqF3NxcODo6Sq3bo0cPWFlZSVwsVpwyL21xcnLCp0+fij3gfvz4EYGBgdDR0UGnTp1gbGwMZWVlHDt2TCLfzZs3kZSUVOF7WYnPLAtf3vj+/Xu8fPmSfX/69Gm0b98eycnJ4PF40NfXh4eHB1q0aFHsmXBl17mo3r17IzExEdu2bQPDMCVO2o6Li0P37t1hZWUlEUUDkmc95b06KTQ0FNevX4e3tzdmzpyJY8eOITIyUq4yLC0tcfnyZYmzYpFIhJMnT8LAwEDqzPNbsbKywrNnz9CmTRu0a9eOfe3Zs4edPBkXFwc1NTU4OzuzAVVGRgbi4uJK7GEpja6uLm7duiU1YR8o6MFLTk6WCuLV1dXx888/IzIyEqdPn4aGhgZ69uxZ6nbq1KmD9u3bIzIyEqdOnULfvn3lqqednR2uX7+OuLg4tG/fHgDQvn17xMbG4sKFC6X2UnF5CxV52hkAEt9jcS+gYNixefPmEsOjQEHDWatWrRJPmDIzM+Hl5YUjR45IpJ84cQJ8Pl+uXt3hw4ezPYeampro3bs3XF1dIRKJSuwVkoWVlRUASLVbJ06cQF5eHttuFW0fxHVPSUmR+LwyMzOxZs0a9oSoqJ07d6Jr167IycmBgoICTE1NsXTpUqipqeHff/9FWloaXr58iYEDB8LQ0JA9UInbrPL8DRXn7NmzEu9Pnz6NGjVqSAwdVkSbNm1Qs2ZNnDlzRiK9rLbxn3/+QU5ODpycnNC0aVM2aBQPFcuz/x07dkR+fr7URU1//fWXzGUUZmVlhZcvX6JZs2YS3/nJkyexc+dOicCtPGUDZf8OgYIhwNTUVPj7+yM3N1diyNDa2hpv375F7dq1JeoYGxuLwMDAMo9zsradS5cuRXh4OKZNm4bly5dL9QZOmzYNhw8flnhNmTIFQEHv1tKlS8v8TMrsqTIxMcFvv/0GPz8/vHjxAv3790f9+vXx7Nkz7Nq1C2lpadi9ezcUFRVRu3ZtTJ48GRs3boSSkhK6deuGxMREbNiwAbq6uhI3LyyPDh06QE1NDStWrMCMGTMgFAqxdetWiTMuMzMz9saLzs7OqFWrFq5cuYKnT58W21NR2XUuysTEBI0bN8aWLVvQr1+/Eu+TY2RkxHaR6ujo4NatWwgODgaPx5OYw6WpqYnHjx/jxo0bsLa2lqkO8fHxWLNmDQYOHAgbGxsABX8UixcvhoWFhcxnfdOmTcPly5cxevRoTJ48GTVq1MCePXuQkJCArVu3ylRGUcnJycXe1uGnn36SexiqcD2HDRsGJycnjBo1Cqqqqjhy5AgiIyPZK4eMjY2xf/9++Pj4wN7eHsnJydi+fbvUGZisnJyc8Ndff8HFxQVDhw5Fhw4doK6ujhcvXmDPnj1QV1eHk5OT1HpDhgzB8OHDkZGRgV9++UWmK0/69OmDRYsWQSQSsXcOlpWdnR22bdsGAOzvp3379vjy5QsePXpU6t2KxX93ly9fhpaWVrFzFmUlTzsjDzc3N3h4eGDu3LlwcHBAdHQ09u7di7lz57I9Yp8/f8bjx4+hq6uLevXqQU9PDz179kRgYCDy8/PZxj0kJAQjRoxge7iKrlccS0tLtpfcwsICKSkp2LhxI3R1daGvr1/uz6tVq1bs8H12djasrKzw6NEjbNq0CZaWluzwpLhn6uzZs3BwcIBAIMCAAQOwaNEiJCQkwNjYGK9fv8b69etRv379Eofr2rdvj7Vr18LV1RWjRo2CsrIyjh8/zs4/qlevHho3box9+/ZBR0cHmpqauHr1Kvbu3QsAEldRV8S5c+ewZMkSdj7Q/v374ebmxtkNPjU0NODs7Iz169dDVVUV1tbWuHnzJsLCwgCUfBLbtm1bKCoqYu3atRg/fjxyc3MRHh7OBpXy7L+1tTXs7OywePFipKSkQFdXF+Hh4ezVrPKaMGEC/vzzT4wdOxYTJkxAvXr1cO7cOezfvx8zZswod68hIPvvECi46tbU1BT79u1D586dJf5mBg4ciNDQUEyYMAGTJ09GkyZNEB0djaCgIAwcOFCmE/Sy2s6oqCiEhYXBysoKHTp0YK+iF9PT00OTJk3QpEkTiXTxjYDF89LKIlML5erqirZt2yI0NBRr165FWloadHR00L59e0yZMkXihllubm6oX78+9u7di/DwcNSuXRu9evWCu7t7uQ5OhWloaCAwMBBr1qzBb7/9Bh0dHTg5OeH+/ft4/fo1gILu6+3bt8Pf3x9eXl748uULdHV14evry06KK6oy61yc3r17IygoqNTJjytWrIC3tzc7PNi8eXMsWbIEJ0+elLi/jouLCxYvXoxff/1V6myhOPn5+Zg9ezbU1dUl7i3k4+ODfv36YeHChdi0aZNM+9G6dWvs27cP69atw8KFCwEUBIO7du0q1xwtoOBeMsuXL5dK79atW7mDKoFAgH379sHf3x/z5tPq49sAACAASURBVM0DwzBo2bIl/P392cmfAwYMQEJCAo4cOYKDBw+iQYMGsLW1xZgxY7BgwQI8evSo2Lvhl6RWrVoICwvD9u3bcf78eRw9ehQ5OTnQ0dGBvb09XF1dpeZtAAWTdVu1aoVnz57JfCffHj16YPHixTA1NS113kFxTE1NUadOHaipqbF/x82aNUOjRo2QlZVVag9A69at2cuunz9/jqCgILm2XZQ87Yys+vbtC6FQiG3btuHYsWNo1KgRFixYIHFfuwcPHmDs2LFYvnw52+2/atUqbN26FREREdi8eTMaNmyI6dOnS5yYFbdeUb/99htUVVXxxx9/IDg4GGpqaujUqRNmzpxZ4Sc6LFu2DM2aNcORI0ewc+dOaGtrY/To0Zg2bRrbi9ihQwf28vqEhAQsXboUvr6+7IF606ZNqFOnDnr06IEZM2aUeJLXpk0bbNu2DYGBgZg7dy6EQiH09PQQGBjI9lZs2rQJy5Ytw/z586GsrIxWrVohMDAQq1atQmxsbKl3sJfVjBkzcOvWLbi5uaFhw4ZYsGABRo0aVeFyC3NxcUF+fj4OHDiA3bt3w8TEBDNnzoSvr2+JB/dmzZph7dq12LhxI9zc3Nie0D179mDMmDGIjY2FgYGBzHXYsGED1q1bh+DgYHz58gV2dnaYMmUKe8sDeWhrayMsLAzr1q2Dr68vsrOz8dNPP0ncBLMiZPkdig0YMAC3b9+WmtOnpqaGvXv3ws/PD+vXr0d6ejoaNWoENzc3TJo0SaZ6lNV2inusY2Jiiv3N7NixAx07dpR1t0vEYyo6M5wQQn5Q69evR6tWrWS+4pKUT2JiIrp16wYfHx+pG+FySSQSISIiAh07dpS4n9HevXvh6+uL6OjoYueiESJWdQ+/I4SQ/5A3b97g5MmTMj2gmXwfFBUVsXPnTuzZswcuLi6oU6cOnjx5gg0bNsDR0ZECKlImCqoIIaQc6tWrh02bNkk9sYB83zZv3ox169bBx8eHHYaaOHEiJk+e/K2rRr4DNPxHCCGEEMIBevw6IYQQQggHKKgihBBCCOEAzaki1c6FuAR0NZf/8nlCCJEXr0fZ9x4SY84mVmJNyH8BBVWk2hGJ8uVq6Mh/n/hg9kVU/DPtyI9HXVGz7EyyqMDNLwkpioIqUu3k5nHzSAtCCCkTTYIhHKKgilQ7IhEFVYSQKkI9VYRDFFSRaieXgipCSFWhmIpwiIIqUu2IaPiPEFJVFCiqItyhoIpUO9RTRQipMjT8RzhEQRWpdqinihBSZSimIhyioIpUO9RTRQipMnyKqgh3KKgi1Q7dUoEQUmUopiIcoqCKVDt0SwVCSJWhOVWEQxRUkWqHeqoIIVWGrv4jHKKgilQ7NKeKEFJlKKYiHKKgilQ7NPxHCKkyNPxHOERBFal2aPiPEFJl6Oo/wiEKqki1Qz1VhJAqQzEV4RA9n5tUOzSnihBSZfg82V9yePHiBfT09KRehw4dAgA8fPgQY8aMgYmJCezs7BASEiKxfn5+PjZs2IDOnTvD2NgYTk5OiI+Pl8jDRRmEWxRUkWqH7qhOCKkylRRUPX78GBoaGrh69arEq1+/fkhNTcX48ePRrFkzHDlyBDNmzMCGDRtw8OBBdv3AwEDs378fPj4+OHDgABQUFDBx4kTk5OQAACdlEO7R8B+pdqinihBSZSpp+O/Jkydo2bIltLS0pJbt3LkTSkpKWLJkCRQVFdGyZUvEx8dj27ZtGDp0KIRCIbZv3w5PT0/Y2toCAPz8/GBjY4NTp05hwIABOHjwYIXLINyjnipS7VBPFSGkyvB4sr/k8PjxY7Rs2bLYZbGxsbCwsICi4td+DWtrayQkJODdu3d4+PAhMjMz0b59e3a5hoYGDAwMEBsby1kZhHvUU0WqHeqpIoRUGTm6FtLT05Geni6VrqmpCU1NTYm0J0+eoFmzZhg+fDhev36N5s2b49dff4WNjQ3evXuHVq1aSeTX1tYGACQlJSE5ORkA0KBBA6k8SUlJAMBJGYR7FFSRaod6qgghVUaOHqhdu3Zh48aNUunTpk2Dm5sb+z4zMxOJiYmoW7cuPDw8oK6ujj///BPOzs7Yvn07srOzoaysLFGG+H1OTg6ysrIk0grnEQqFAMBJGYR7FFSRaod6qgghVUaOCejjxo3DwIEDpdKL9lKpqakhLi4OSkpKbFBjaGiI58+fIzg4GCoqKlKBjfi9mpoaVFRU2LTCQZFQKISamhoAcFIG4R4FVaTaoZ4qQkiVkWP4r7hhvpKoq6tLpQkEAly4cAFNmzZlh+fExO91dHTAMAybpqGhIZFHPOSno6NT4TII92iiOql2qKeKEFJlKmGi+u3bt2Fqaoq7d+9KpP/zzz9o3bo1LC0tERcXB5FIxC6LiopC8+bNoaWlhTZt2kBDQwMxMTHs8oyMDDx48ABWVlYAwEkZhHsUVJFqh3qqCCFVhifHS0aGhoZo0qQJFi5ciLi4ODx//hw+Pj64ffs2pkyZgkGDBiErKwvz5s3Ds2fPEBERgZ07d8LFxQVAwbyn0aNHw8/PD+fOncOjR4/g7u6OBg0awMHBAQA4KYNwj4b/SLXDMAAPfDCg4IoQUskq4dl/SkpKCA4Oxtq1azF9+nSkp6ejbdu22L59OwwMDAAAISEhWLZsGQYOHAgtLS14eHjA0dGRLWP69OnIy8vDokWLkJWVBXNzcwQHB7Pzo+rVq1fhMgj3eIx44JWQaqKfxx84dc8deQxdoUIKMGcTAQBfRNKXs5Mfk7qibHObysJzaydzXibgHifbJP9d1FNFqiU+XxF5eRRUEUIqF68SeqrIj4uCKlIt8Xn00ySEVD6enHdKJ6Q0dOQi1RIFVYSQqkAxFeESHblItcTnKXzrKhBCfgB8iqoIhyioItUS9VQRQqoCDf8RLtGRi1RLPD79NAkhlY/Pp9s1Eu7QkYtUS9RTRQipCtRRRbhERy5SLdGcKkJIVaDhP8IlCqpItUQ9VYSQqkBBFeESHblItURBFSGkKvDkeagfIWWgIxepliioIoRUBeqpIlyiIxeplvh8mlNFCKl8CvSYGsIhCqpItcTnKX3rKhBCfgDUU0W4REEVqZbo6j9CSFWgoIpwiYIqUi3RnCpCSFWgmIpwiY5cpFqioIoQUhWop4pwiY5cpFqioIoQUhUoqCJcoiMXqZbo6j9CSFWgZ/8RLlFQRaodRQUe9VQRQqoEdVQRLlGITqodRQU+eN9hUFW3Zm0wZxOlXocWbgUAmAuMil2+evICtoxBnfsUm2dq//HFbvPI4iAETPORSLuw5lCxZTBnE7Hdc22l7T+R36Xzl2BjaSuR9vlzBpZ7rYCDbS/YWNrCfZoHEl4nlljGq5ev0N60E/48ekwiXSQSYfPGrejdrS86mttgzLBxiI6KqZT9+J7xeDyZX4SU5fs7cpH/PCVFPhS+w6DKuKUBAMBhzkikZ2aw6SnpaQAAI119ZGR9QffZIyTWe/PhLft/oxb6ePrvS4xZOUMiz8uk11LbW+k8H442P2PjHzsl0n/dMA+a6jUl0kZ07Y+pv4zDzjOH5N8xUin+vv03FsxZDIZhJNLnz1qARw8fY7rHdNSuXQtBW0IweYILDv1xABoaGhJ5GYaB10IfCIVCqfJX+67BiWOnMMPDDU2aNsHhA0fw26+/Y9/hvdBt0bwyd+27QsES4dL3d+Qi/3kFPVXf35wqI119vE1Nxtm4y8Uvb6GPf149RvTDW6WU0QZxT+6WmkdX5ydsmOqFbqY2yMzOklr+8PVTifdNtRphvMMQLNsXgMt3o2TcG1JZhEIh9u0Jw+aALVBVVUV+fj677MWzF7h6+RpW+69Etx72AIAWrVqgb49fcOnCZfTp11uirAP7DuLNmySpbbyOf43DB8Oxcu1ydO/ZDQBgYWmOYYNGIiYqhoKqQvgUVBEO0fAfqXaUFPnf5Zwqoxb6uPvyYcnLdfVx90XJy2UpAwDWuS5Cw7ra6PTbACR//FBmvVZOmoeU9DQs37+xzLyk8l27ch07gnfiN8/pGDZqqMSyxk0bY9f+HbDp0olNU1IqeLpArjBXIu+bf98gcP1mzJ4/U2obF89fQq1amujmYP+1HGUlhB87hGEjh0rl/5Hx+TyZX4SU5fs7cpFvLjU1FQcOHEBsbCySkpKQk5MDNTU16OjowMrKCkOGDEHt2rXLXb6iAh98/vf30zRqoY9sYQ6u+UfArLUhPnxKw4aI7Vh9cDMAoJ1uG+TkCnF7SyQMfmqN18lv4B3qj91nDwMA1FXU0LxBU5i2MsTjHZehq9MUD18/w5yQ5TgVc57dzvwdq/Ag/olMdTJuaYBhtr9g1Ao35OTmcL/TRG5tDQ1wPPIP1NSsiS2B2ySW1ahRA+2MDAEUzIl6/eo11q32R716dWHXTXLulc8SXzj06g4LS3OpbTx98gzNdZvjrzPnsWnjFiTEJ6BlqxaYOdcD5sXk/5HxQMES4c73d+Qi39S9e/fg7OwMdXV1WFhYQF9fH8rKyhAKhUhOTsb+/fuxfft27NixA23atCnXNr7HnioejweDnwT4kp0Jz23eeJ38Br2t7LHcaQ5UlGsg+NR+aNWuh9aNdTF3+3Kkff6EEV0HYNcsfzAMgz3njsCohT74fD50dZri9y1LIcrLw6+/jMUxrx3oPnsELv59HQBkDqgA4DdHZ8S/S8TBS8fKzkyqhHYDbZnyeS9ehmMRx8Hn87HYe6HEiUpE+J949vQ5Vq5dXuy6aalpeP06AWtWrsO0Gb+ibr262LNzL9xcZ+DwnwfRqHEjTvblv4DmVBEufV9HLvLNLVu2DPb29li2bFmx93fJz8/H/Pnz4ePjg71795ZrG4qK/O/u2X88Hg99F47D6+Q3eP7mFQDg4t/XoaGqhtlDf8WaQ1vQc+4o3H3xEG9TkwEAf92+ikb1GmDxGHfsOXcED+Kfovf8sbj6Tww+/3+i+9lbl/H3ljNYMGo6G1TJqqaaBobZ/oKFO1dLzNsh34chwwaj7y99cPH8RSyevxR5eXkYMKg/3r//AL/V/li0dAFqatbE5/TPUuuKRCKkpqQiaNdWmFuYAQBMzUzwS68B2BWyG3MXzanq3am2KKgiXKI5VUQuDx8+hLOzc4k3zOPz+XB2dsb9+/fLvQ0lhe+vpyo/Px8X7lxnAyqx0zcvQl1VDS0aNsOZ2EtsQMUuj72Ilo2aQ11FDZ++pONUzHk2oBKXe/bWFRi3MJC7Tr0s7FBDSRkHLv1Zrn0i35ahUVtYWltg5lxP2Hfviu1BOwAAK7xXwtTMBLb2XSASiZCXnwcAyGcY5OUV/F9NTQ0qqiowMzdly1NVU4WRiRGePn1e9TtTjfF4sr8IKQsFVUQuWlpaePz4cal57t69W7E5Vd/h8F/Deg0wqfco1K9VVyJdtYYKgIJ7WLn0HQ1lJWXJ5coqyMzOwpfsTJi0bIuJP0vebkFcxodPqXLXqZelHWKf3EXie+mrw0j1lJiQiIjwP6Vus9BGXw/J794DAC78dRGXL16BlXEHWBl3gH2nHgAAr4Xe+KXXQABA05+aID8vnw2yxHJFIuqZKYLuU0W4REEVkcuECRMwf/58rF27FleuXMHTp08RHx+Pp0+f4tq1a/Dz88PSpUsxbty4cm/je+ypqqGkjG3uKzG6m6NE+qDOvfE44TkU+ArYMmMFelvZSyx3tPkZV/6JBgCYtGqL4N9Xw6RlW3a5irIKelvZ41I5boVgpWeCqFJuzUCqn/hXr+G10BuxMXFsGsMwiLoRjVatWwIA9h7YJfHatmMLAGDyr5PgH7gOANC+Y3sIhUJcvniFLedz+mfcvX0XxibtqnCPqj8+ny/zq7xevnwJU1NTHDr09T5xiYmJcHFxgZmZGTp27IjVq1dDJBJJrBcaGopu3brByMgIw4YNw927dyWWc1EG4db3deQi39yoUaOgqqqKrVu3IigoSOLsjWEY6OrqYv78+RgyZEi5t6GoyP/unv336m0C9p2PgPf4mchnGDx8/RRDuvTFIJveGLBkIi7fi8KVe9HYMmM56mjUQlJqMlz6jIJRizawcS8IxA5dOo65w6fh0MKtmL9jJbKE2Zg5xBUaKurw2bdervrw+Xy0+akVNh/fUxm7SyqJdQcrtDNuh8Xzl2LqjCmoXbs2/gj/E3/fvouALQW/AQNDyaFg8ZyqRo0aorWgFQCgfUdrWLW3hNdCH3z6+Ala2lrYHrQTADBijHRv6I+ssjugcnNz4enpiczMTDZNKBRi4sSJ0NXVRVhYGBISEjBv3jwoKirC3d0dABAeHo7Vq1fD29sb+vr6CA4OhrOzM06dOoV69epxUgbhHgVVRG6Ojo5wdHRESkoK3r17h6ysLKioqKBhw4aoW7du2QWUoeDqPyUOalq1Jq71xMLRM/DbwIloWE8bD18/wyCvyTh24ywAoP/iifB1mg2vcZ6op1kHt57dQ4/ZIxH3pODM8Ut2JrrNGoZVk+Zjw1QvaKio4+r9GHTxGCT3EF49zTpQVFDEx4x0zveTVB5FRUWs37QOAX6B2LBuI9I/pUPfoA02BW2EpbWFzOXweDys27AGAf6BCNywGZmZmTAybofg3VuhpVW/Evfg+1PZw3oBAQFQV1eXSIuMjMS///6LgwcPolatWhAIBPD09ISvry+mTJkCFRUVbN26FSNHjkS/fv0AFFwk1KNHD4SFhWHq1KmclEG4R0EVKbd69epVytmOosL3d/UfAGQLszF/+0rM376y2OVpnz9iyvq5mIK5JZaR+D4JI32nybxN3TEdik1//zEFvB5NZC6HfBuuUyfDdepkibTatWtj4dL5MpdRU7Mmbt2/KZWupq6G2fNnFntzUPJVZQZVN2/exIEDBxAREQE7Ozs2PTY2Fvr6+qhVqxabZm1tjczMTNy/fx/NmjXDq1evYG1tzS5XUFCAubk5YmNjOSuDcI+CKlLtfI/3qSKEfJ/kCarS09ORni7d+6upqQlNTU2pvLNmzcKCBQvQsGFDiWXv3r2Djo6ORJq2dsH9y96+fQsVlYILXIrLc+/ePc7KINyjIxepdgqe/Uc/TUJI5ZOno2rXrl3YuFH6cU/Tpk2Dm5ubRNqSJUtgYmLCDr0Vlp2dLTUkqKxccGVwTk4OsrKyJNIK5xE/PJuLMgj36MhFqh3qqSKEVBV5ruobN2YcBg4cKJVetJcqIiICsbGxOHas+CcZqKioSAU24vdqampsL1NxedTU1Dgrg3CPjlyk2il49t/3N6eKEPL9kWf4r7hhvuIcOXIEKSkpEvOoAMDLyws7d+6EpaUlHj6UfHB6cnLBjYF1dHTQqFEjNk1PT08iT4MGDdh8FS2DcI+CKiKXUaNGyZw3NDS0XNugnipCSFWpjHnqa9asQXZ2tkSag4MDpk2bhr59++LOnTsIDw9Heno6G6RFR0dDXV0dBgYGUFZWhq6uLmJiYtC5c2cAQF5eHuLi4jBs2DAAgKWlZYXLINyjIxeRy08//VTp21Bir/7jAWDKyk4IIeVWGVf/ldQTVLduXTRu3Bj169eHv78/3N3dMXPmTLx58wZr167FhAkT2DlQTk5O8PHxga6uLoyMjBASEoIvX76w9wDs3r17hcsg3KOgishl+fLllb4NRcWCOQ58niLymdxK3x4h5Af2DR4/U6NGDQQHB8PLywtDhw6FpqYmhg0bJnHvqKFDhyIjIwPr16/Hx48f0bZtW2zfvp29FyAXZRDu8ZiiD5kiRA4fPnzAixcvJJ4xJhQK8ffff2P69OnlKjPi0jOE/Hkfp//xgCg/u+wVyH8eczYRAPBFRDczJQXUFcue2yQLsyDpiecluTXpKCfbJP9d1FNFyi0iIgILFy5Ebm4ueDweGIZhu9IbN25c7qBKSeFrTxUhhFQmelAy4RI9UJmU27Zt29C3b1+cPn0aNWvWxJEjRxAYGAhtbW2pe7bIgx3+41NQRQipXDweT+YXIWWhoxYpt4SEBAQEBKB58+bQ09NDamoq7O3tIRKJsGXLFvTv379c5SopUk8VIaRqULBEuEQ9VaTclJWV2atMmjVrhsePHwMADA0NER8fX+5ylRQK7lH1PT7/jxDyfeHxZH8RUhYKqki5GRoaIiwsDADQunVrXLt2DQDw9OlTKCkplbtcRcWC1ovPK38ZhBAiCxr+I1yi8RVSbm5ubnB2dkbdunUxcOBABAYGomfPnkhOTkafPn3KXa6SIvVUEUKqhjyPqSGkLBRUkXKzsLBAZGQkhEIh6tati3379iEsLAwNGzbEmDFjyl2uokLBGSE9VJkQUtmoB4pwiY5apEIK3zm4VatWWLBgQYXLZHuq6Oo/Qkglo5iKcImOWqTcxo4dW+ry3bt3l6tccU8VDf8RQiob9VQRLlFQRcqt6POtRCIR4uPj8eLFizIDrtJ8nVNFP09CSOWioIpwiY5apNxWr15dbLqfnx/S08v/OJGvPVX08ySEVC4KqgiX6LIHwrnBgwfjxIkT5V6feqoIIVWFz+fJ/CKkLHTUIpx79uwZKvKcbkX22X80p4oQUsmop4pwiIIqUm6zZs2SSsvIyMCNGzfQq1evcperRM/+I4RUERr+I1yioxYpt6SkJIn3PB4PSkpKmDhxIiZMmFDuchXp2X+EkCpCo3qES3TUIuW2Z8+eEpe9f/8e6urq5SqXHqhMCKkq1FNFuEQT1Um56evrIzU1VSr9zZs3cHBwKHe5NKeKEFJVFPh8mV+ElIW6AohcTp48iStXrgAAGIaBj48PatSoIZEnMTERampq5d6GAp+HfCaPeqoIIZWOQiXCJTpqEbmYmJggNDSUvbovMTERiopff0Y8Hg/q6upYvnx5hbbDUFBFCKkCfBr+IxyioxaRS6NGjRAaGgoAGDNmDAIDA6Gpqcn5dvLyRXT1HyGk0tGcKsIl6vkk5bZnzx7cvHkTFy5cYNMWLFiAS5cuVbhshhGBRz1VhJBKxufxZH4RUhYKqki5HTp0CDNmzMC///7LpgmFQkydOhUnT56sUNn5jIiG/wghlY7H48n8IqQsdNQi5RYSEoLFixdjyJAhbNqqVatgbm6OzZs3o3fv3uUuu2CiOl39RwipXIoULBEOUU8VKbekpCS0b99eKr1jx454/fp1hcqmnipCSFWgnirCJQqqSLk1btwYUVFRUulxcXHQ1tauUNkUVBFCqgLNqSJcoqMWKbdRo0bB19cXr1+/hrGxMQDg3r172L17N9zc3CpUdj5d/UcIqQIUKhEu0VGLlNuoUaOQnZ2NnTt3IigoCACgra0NT09P9OzZs0Jl05wqQkhVoB4owiUa/iMVMnHiRFy5cgU3btxAbGwsVq9ejZs3b6Jr164VKjefyaXhP0JIpausx9S8e/cOv//+O6ytrWFqaorJkyfj6dOn7PKHDx9izJgxMDExgZ2dHUJCQiTWz8/Px4YNG9C5c2cYGxvDyckJ8fHxEnm4KINwi4IqUmGfP3/GsWPHMHToUIwfPx4XLlzAwIEDK1QmPaaGEFIVKmNOFcMwmDRpEt6+fYuQkBAcPnwYKioqGD9+PL58+YLU1FSMHz8ezZo1w5EjRzBjxgxs2LABBw8eZMsIDAzE/v374ePjgwMHDkBBQQETJ05ETk4OAHBSBuEeHbVIud27dw9hYWE4efIksrKywOPxMHbsWLi4uKBu3boVKpsmqhNCqkJlDP59+PABLVu2xPTp06GrqwsA+PXXX9G/f388efIE0dHRUFJSwpIlS6CoqIiWLVsiPj4e27Ztw9ChQyEUCrF9+3Z4enrC1tYWAODn5wcbGxucOnUKAwYMwMGDBytcBuEe9VQRuWRnZ+Pw4cMYNGgQhgwZgtOnT8PBwQFbt26FgoIChgwZUuGAChAHVTSnihBSuSqjp0pLSwt+fn5sQPXhwweEhIRAW1sbAoEAsbGxsLCwkHhuqrW1NRISEvDu3Ts8fPgQmZmZEres0dDQgIGBAWJjYwGAkzII96grgMilS5cuyM/PR5cuXeDi4gI7OzsoKysDAPuQZS7Q1X+EkKogT7CUnp6O9PR0qXRNTc0Sn4E6Z84cHD16FMrKyti8eTPU1dXx7t07tGrVSiKf+DY0SUlJSE5OBgA0aNBAKk9SUhIAcFIG4R4dtYhcRCIRatasCRUVFeTm5kIkErFBFZfyGRFUleqiq94SiPKzkJuXBVFeFnLzsgu9z0Zuvjj9///m/z89Lwv5TC7n9SKE/LfIc1PPXbt2YePGjVLp06ZNK/E2MhMnTsSoUaOwb98+TJ06FaGhocjOzpZqN8Xvc3JykJWVJZFWOI9QKAQATsog3KOgisjl2rVrOH36NA4fPozw8HCoqKjA1tYWvXv35vSOw/EpV8Aw+VBSUIWiggoUFVShpqz1//eqUOTXAI9X+uh1fr6oSNBVJAgrHJwVff//fPmMiLN9IoRUPwpytFvjxo0r9iKcknqpAKB169YAgGXLluHvv//Gnj17oKKiIhXYiN+rqalBRUWFTSscFAmFQqipqQEAJ2UQ7lFQReSiqqqKgQMHYuDAgXj16hUOHz6MP/74A5GRkeDxeAgJCYGzszNatmxZoe2kZyfinzcHSsnBgyK/BhQVVAsCLb4qlBRUoKSgVhCE8VXZAEyJr8LmU1fShhK/IFBTUlAtsx55+blSPWAl95xlITc/G6K8zIL0/6/HMHkV+iwIIZVHnuG/0ob5CktOTkZ0dDT69u3Lnmzy+Xy0atUK7969g46ODjs8V3gdANDR0WGnUiQnJ0NDQ0Mij3jIj4syCPcoqCLl1rx5c3h6euL333/HxYsXER4ejmPHjiEiIgLt27fHjh07KnHrDET52RDlZyM7N62cZfCgyFf5GnwpqEq+LxR8fX2vChWlWoXyqZS5lbx8oXTwxQZnBcGXOCDLzcssFJx9zc8gv5z7SAgpTWXc/DMpKQmenp5o2LAhLCwsAAC5ubl48OABbG1t0aBBA4SGhkIkErETg8tXUwAAHJ1JREFUzaOiotC8eXNoaWmhVq1a0NDQQExMDFq0aAEAyMjIwIMHDzBy5EgAgKWlZYXLINyjoIpUGJ/Ph729Pezt7ZGamoqjR48iPDz8W1dLBgxE+QXBDco9/YoHJQUVKPLV2CDra8+Z+L1akWBNBSpKtSWGMstSEJhJ9oCJCv1fMljLLnaIkwIzQqRVxoOS27VrB2trayxatAheXl7Q1NTEli1b8PHjR4wfPx5qamoIDg7GvHnzMHnyZPzzzz/YuXMnFi9eDKBg3tPo0aPh5+eH+vXro0mTJli7di0aNGgABwcHAMCgQYMqXAbhHo/h8pItQjjC69HkW1ehyvDA/39PmeSwZUEgplaQXqinTFFBBUqFhzcVVKHAL/tiAVFeTjFDlcVP8hfnEy8T96oB36a5YM4mAgC+iKSvvCI/JnXFsofhZDH9kofMeTfYrpU576dPn7BmzRpcuHABnz9/hoWFBWbNmgU9PT0ABff5W7ZsGe7fvw8tLS2MHz8eY8eOZdfPy8uDn58fwsPDkZWVBXNzcyxevBhNmzZl83BRBuEWBVWkWvqRgioufA3MvvaGFcwv+zqnrGjg9jV4K0iXLTDLZnvDCoYqi16BWfoVmaL88gVmFFSRorgKqmZc9pQ57/ouazjZJvnvouE/Qv4DGOQjN+8LcvO+lLsMHk+B7Q0rbpK/OPhSFPee8VWhrKgBNYX67HoKfKUyt1N0qFK656xosJaNd6mZaFCXrlgi3FOU85l+hJSGgipSLYl7Jsj3RZibhy/ZucjMFuFLVi4ys3PxJVuEzKyCf7+mFZMnOxdfsnIhypPuyZrkexZb53RHw/rc9E4QIlYZc6rIj4uCKkIIZ5SVFKCspIA6Ncu3PsMwEIry/x+EfQ28FBR40KlHPVWEe/xKefof+VFRUEWqpey8zG9dBfKt8AFVdUBVXQGAAoAaUFEoCKjod0HExL+JiqKeKsIlCqoIIYT8sCrjPlXkx0VBFSGEkB8Wv4zHXREiDwqqCCGE/LCop4pwiYIqQgghPyweqKeKcIeCKkIIIT8s6qkiXKKgihBCyA+Lrv4jXKKgihBCyA+LR/epIhyioIoQQsgPS4EeU0M4REEVIYSQHxafJqoTDlFQRQgh5IdFc6oIlyioIoQQ8sOioIpwiYIqQgghPyx6oDLhEgVVhBBCfljUU0W4REEVIYSQH5YCPfuPcIiCKkIIIT8seqAy4RIFVYQQQn5YNPxHuERBFSGEkB8W3VGdcImCKkIIIT8seqAy4RIFVYQQQn5YNFGdcImCKkIIIT8sHgVVhEMUVBFCCPlh0ZwqwiUKqgghhPywaE4V4RIFVYQQQn5YdEsFwiUaTCaEEPLD4oMn80seGRkZ8PX1hb29PUxNTeHo6Ii//vqLXZ6YmAgXFxeYmZmhY8eOWL16NUQikUQZoaGh6NatG4yMjDBs2DDcvXtXYjkXZRBuUVBFCCHkh8XnK8j8ksfcuXNx8eJF+Pj4ICIiAg4ODpg2bRpu3LgBoVCIiRMngsfjISwsDN7e3jh8+DACAgLY9cPDw7F69Wr89ttvCA8Ph66uLpydnZGSkgIAnJRBuMdjGIb51pUgpKjsvMxvXQVSjagoqAGg3wX5SvybqKg9T0JkzjtGMFGmfO/fv4eNjQ22bt0KOzs7Nn3cuHGoX78+7OzsMHfuXFy7dg21atUCABw6dAi+vr64ceMGVFRU0LNnT3Tr1g2zZs0CAOTl5aFHjx4YNGgQpk6dimPHjlW4DMI96qkihBDyw+LxeDK/ZKWqqoqgoCBYWFhIbevTp0+IjY2Fvr4+GwwBgLW1NTIzM3H//n18+PABr169grW1NbtcQUEB5ubmiI2NBQBOyiDco4nqhBBCfljy3FIhPT0d6enpUumamprQ1NRk32toaKBLly4See7cuYOoqCgsWLAAV69ehY6OjsRybW1tAMDbt2+hoqICAMXmuXfvHvC/9u48qskr7wP4N0BCIICKCGhVBGaKgC1aFR2nikXrWqd1WnChKogjvqO0pfMWrdKpFesy1iJVpmJBhRbBpdhKcekmdvRVXLoxiMNYFVxBh8pigBDI+4djSkBLEi4GyPfDyTnmPpf7/OQ8h3y5z80NgJKSklaPQeIxVBERkdkyZAYqJSUFmzZtata+aNEiREZGPvD7fvrpJyxatAh+fn6YNm0avvzySygUCp0+MpkMAFBbW4vq6mqdtsZ9VCoVAKCmpqbVY5B4DFVERGS2DHlX35w5czB16tRm7Y1nqZo6deoUFi1ahF69eiExMRFSqRRyubxZsLn33NbWVjvLdL8+trZ315KJGIPE45oqIiIyWxYSS70fDg4O6N27d7PHg0LVvn37EBYWBl9fX3z44Yfo2rUrgLu35EpLS3X63nvu6uqKXr166bQ17uPi4iJsDBKPoYqIiMxWWyxUB4CsrCxER0dj4sSJSExMhJ2dnfbY0KFDUVBQoLM+Kzc3FwqFAj4+PnB0dIS7uztOnjypPV5fX48zZ87A399f2BgknuXy5cuXm7oIoqbUmjpTl0DtiJWFFACvC/rFvWuitQp+/icken75dHtMrzFv3LiB8PBwDB48GMuXL0dtbS2USiWUSiXq6urg5eWFffv24cSJE/Dy8sKPP/6IlStXYvbs2RgxYgSAu2ufNm7cCBcXF0ilUqxfvx6FhYVYtWoVbGxs4Obm1uoxSDyuqSIiIrPVFh9T8/nnn6O6uhonTpzAyJEjdY498cQTSE9PR1JSElasWIHg4GA4ODhg2rRpOntHBQcHo6qqCvHx8bh9+zZ8fX2xdetWODo6AgCsra1bPQaJx80/qV3iJo/UGDf/pKZEbf6592KG3n2nuk8Xck7qvDhTRUREZstCYtjHzxD9GoYqIiIyW21x+4/MF0MVERGZLUN2VCdqCUMVERGZLQvOVJFADFVERGS2OFNFIjFUERGR2eKaKhKJoYqIiMwW3/1HIjFUERGR2TLkA5WJWsJQRUREZou3/0gkhioiIjJbXKhOIlmYugAiuivn6xz8bsjvddo0Gg0+2JyE8YETMeyJ3yEifAEuXrhoogrpYamvr8e25O14ZvwfMHzwCIRMm4XcEye1x2tqahC3Ph4TxkzE7/1HYl7YfBScPWfCijsuiUSi94OoJQxVRO3A9999j6WLY9D0ozgT/74FHyQmYXbYLKx9ZzUqq6rwp7kRqKysNFGl9DBs35qCjRs24bk/PosNG99Fn7698ef5C7XBad2ad7Bzx06Ehofib++uhaWFBf40dz5KbpSYtvAOyFJiqfeDqCUMVUQmpFKpsC15O+aFzoelpe4v7Tt37iBlWyoWLIxAyKyZGB04Gpu3/B3KO0rs/fgT0xRMD0XWp59h4uQJmBcRjuEjhuPtNSvh5OSEvZmfoKGhAdlZ+zEr9EVMnzkNv39yBN59bz1qa2pxcP8hU5fe4UgM+CJqCUMVkQkd/eYYkj/Yiqj/fQUzQqbrHPvxhzwolUqMfipA2+bQxQGDhw7GsaP/97BLpYdIpVJBYWenfW5paQk7eztUlJejoaEBdXV1sFP8ctzGxgYymQzl5eWmKLdD4+0/EomhisiEfB/zxf7PsxEya2azX9pFl4oAAH369NFp7937ERT/9xh1TtNmBCN7XzZyj+eisrISaR/uwE/nf8KEieNhZWWFF4KfR3paOv6Zl4+K8gpsWB+PmpoajB03xtSldzicqSKR+O4/IhNycXF+4LE7VVWQyWSQyqQ67QqFAlVVd9q6NDKh4OlBOJV7CvPDF2jbFr20EKMDRwMAFiyMQN6PeQiZ9iKAu7MtsatXwMfXxwTVdmycgSKRGKrIIAEBAXr/EsrJyWnbYjo5jeb+v/A1Gg0sLDjJ3FlpNBr8z58W4sJPF7Dsr6/D3cMDucdzsfnvibB3sMezU/+A2TNDUadSYeWaWDg7O+OrL77C8pi3YKdQ4KkxT5n6v9ChWPCGDQnEUEUGiY6OxtKlS+Hh4YExY3iroS3Z2dtBpVKhrq4OUukvs1VKpRJ29na/8p3UkX337ff47tvvsO7dv2HchKcBAEP9h0Bdr0bc+g2ws7NDcVEx0nZ+hAGP+QIAhg33x+3bt7Hm7b8xVBnIQsJQReIwVJFBJk+eDGtra0RFRWH16tXo37+/qUvqtPq69YVGo8HVq9fQr5+btv3Klas6z6lzKblxAwDwuN9jOu2DnhiEbUnbcfXqVVhaWsJ3gE+z44cOfA7lHSVsFbYPrd6Ojrf/SCRGdDLY2LFjMXnyZMTFxZm6lE5t4EA/WFtb4/BXh7VtFeUVOHPqDPyH+5uwMmpLbv8NzN99971Oe96PebCysoKnpwfq6+uR92Nek+P/RDfHbrCxtXlotXYGXKhOInGmiowSExODK1eumLqMTs1WYYsZIdOxKT4BFhILuPXriw8Sk6GwU+CPL0w1dXnURnx8fTAyYCRWrViNivIKuHu44/TJ09iWtB0zX5yBgKcC4NXfC69FLcail/+MHj164EjON8jOysaSZYs582IghiUSSaJpuoUzUTtQU680dQkP3fubNiNlWypOnPllDyq1Wo1N7yVg394sKJVK+A3yw5Kl0XD3cDdhpQ+f3PLu7SxzuS5qamqwKT4BBw8cQkV5Bfq69UXw9CAETXsBEokEt2/fRtw7G3Dk8BHU1NTCw9MdYeGheHr806Yu/aG5d0201ulb+u/5NsRphJBzUufFUEXtkrm8eJJ+zC1UUctEhaozt47r3Xew0++EnJM6L97+IyIis8V3/5FIDFVERGS2uKaKRGKoIiIis8WF/SQSQxUREZktzlSRSAxVZJCQkBC9+6alpbVhJURErfcwQlViYiJycnKQnp6ubbty5QpiY2Nx6tQpyOVyTJ06FVFRUbCy+uVlOS0tDVu3bsXNmzfh7e2NZcuW4fHHHxc6BonFUEUG6du3r6lLICISpq0XqqelpSEuLg6DBg3StqlUKoSHh8Pd3R0ZGRm4fPkyli5dCisrK0RFRQEAMjMzsW7dOsTGxsLb2xtJSUmYN28eDhw4gO7duwsZg8TjlgrULvGt89QYt1SgpkRtqXD29vctd/ovn64D9e5bUlKCN998E7m5uXB1dUXXrl21M1VZWVl4/fXXcezYMXTp0gUAsHv3bqxatQrHjx+HXC7H+PHjMWbMGERHRwMA6uvr8fTTT+P555/HwoULhYxB4nGmilrl1q1buHDhAurr67VtKpUKP/zwA1566SUTVkZE1LK2uv2Xn58PhUKBffv2ISEhAUVFRdpjp0+fhre3tzYMAcCwYcOgVCqRn58PNzc3XLp0CcOGDdMet7S0xODBg3H69GlhY5B4DFVktE8++QRvvPEG6urqIJFIoNFotO+keeSRRxiqiKjdMyRUVVRUoKKiolm7g4MDHBwcdNoCAwMRGBh433FKSkrg6uqq0+bs7AwAuHHjBuRyOQDct09eXp6wMUg87npGRtuyZQueeeYZHDx4EPb29vj444+RkJAAZ2dnREZGmro8IqIWSSQSvR8pKSkYM2ZMs0dKSopB56ypqYFMJtNpu/e8trYW1dXVOm2N+6hUKmFjkHicqSKjXb58GRs3bkS/fv3g5eWFsrIyBAYGQq1WY/PmzXj22WdNXSIR0a8yZKZqzpw5mDq1+YeZN52laolcLm8WbO49t7W11c4y3a+Pra2tsDFIPM5UkdFkMpn2ryA3Nzf861//AgAMGDBAZ/0AEVF7ZSGx0Pvh4OCA3r17N3sYGqpcXV1RWlqq03bvuaurK3r16qXT1riPi4uLsDFIPIYqMtqAAQOQkZEBAPjtb3+LY8eOAQD+/e9/QyqVmrI0IiI9SQx4iDF06FAUFBTorM/Kzc2FQqGAj48PHB0d4e7ujpMnT2qP19fX48yZM/D39xc2BonHUEVGi4yMRFpaGpKTkzFlyhTk5+dj/PjxeOWVVzB27FhTl0dE1CJD1lSJMnbsWLi4uCAqKgrnzp3D119/jfXr1yMsLEw7+z937lykpKQgMzMT58+fR0xMDO7cuYOgoCBhY5B4XFNFRhsyZAgOHToElUoFR0dH7NixAxkZGejZsydmzZpl6vKIiFpkio+psba2RlJSElasWIHg4GA4ODhg2rRpOntHBQcHo6qqCvHx8bh9+zZ8fX2xdetWODo6ChuDxOPmn9QucZNHaoybf1JTojb/vFhZqHdfd/tHhZyTOi/OVJHRZs+e/avHU1NTH1IlRETGEXlbj4ihiozW9B0karUaRUVFuHDhQouBi4ioPbDg0mISiKGKjLZu3br7tsfFxd1312EiovaGM1UkEiM6CffCCy8gOzvb1GUQEbVIYsAXUUs4U0XCnT9/Hnz/AxF1BJypIpEYqsho0dHRzdqqqqpw/PhxTJgwwQQVEREZhjNQJBJDFRnt+vXrOs8lEgmkUinCw8MRFhZmoqqIiPTHUEUicZ8qahM3b95Ejx49jP5+7kdEjXGfKmpK1D5VN6ov693X1aaPkHNS58WF6mQ0b29vlJWVNWu/du0axo0bZ4KKiIgM9fA/+486L97+I4Ps378f//jHPwAAGo0GK1euhLW1tU6fK1euwNZWzF+RRERtiVGJRGKoIoMMHDgQaWlp2nf3XblyBVZWv1xGEokECoUCq1evNlWJREQGYKwicbimiow2a9YsJCQkwMHBQfjYXDtDjXFNFTUlak1Vac01vfs6y3sJOSd1XlxTRUb78MMPcerUKRw+fFjbFhMTgyNHjpiwKiIi/XHzTxKJoYqMtnv3brz88su4evWqtk2lUmHhwoXYv3+/CSsjItIPQxWJxNt/ZLQJEyYgPDwcQUFBOu07d+7ERx99hKysLKPH5m0eaoy3/6gpUbf/btXc0Luvk9xVyDmp8+JMFRnt+vXrGD58eLP2ESNGoLi42AQVEREZRiKR6P0gaglDFRntkUcewYkTJ5q1nzlzBs7OziaoiIiIyHS4pQIZLSQkBKtWrUJxcTH8/PwAAHl5eUhNTUVkZKSJqyMiahnXSpFIXFNFrZKcnIzt27fj5s2bAABnZ2dERERg/PjxcHJyMnpcrp2hxrimipoStabq59qbevftZm38R2+ReWCoIiF+/vlnSKVS5OfnIz09HV999RXy8vKMHo8vntQYQxU1JSpU3Vbd0rtvV5nxfyiSeeDtP2q1yspKZGVlISMjAxcvXoRMJsPUqVNNXRYRkR54+4/EYagio+Xl5SEjIwP79+9HdXU1JBIJZs+ejYiICDg6Opq6PCKiFjFSkUgMVWSQmpoafPbZZ0hPT0d+fj4UCgXGjRuHSZMmYeHChQgKCmKgIqIOhLGKxGGoIoOMGjUKDQ0NGDVqFCIiIjB69GjIZDIAAJfnEVFHw/2nSCTuU0UGUavVUCgUkMvlqKurg1qtNnVJRERG48fUkEicqSKDHDt2DAcPHsSePXuQmZkJuVyOgIAATJo0iX/xEVEHxN9bJA63VCCjXbp0CXv27MGnn36KmzdvQiKR4LnnnsO8efPg6enZqrH51nlqjFsqUFOitlSoqivXu6+dtIuQc1LnxVBFrdbQ0ICcnBxkZmYiJycH9fX1GD58OLZt22b0mHzxpMYYqqgpUaHqjrpC774KKwch56TOi6GKhCorK8PevXuRmZmJ7Oxso8fhiyc1xlBFTYkLVZV691VY2Qs5J3VeDFXULvHFkxpjqKKmRIUqpbpK7762VnZCzkmdFxeqExGR2eIbbEgkhipql0T9FUqdC68LImrPePuPiIiISABu/klEREQkAEMVERERkQAMVUREREQCMFQRERERCcBQRURERCQAQxURERGRAAxVRERERAIwVBEREREJwFBFREREJABDFZEeAgMD4eXlpX14e3tjyJAhCA0Nxbfffiv8fEVFRfDy8kJubi4AYMmSJZgxY4Ze36vRaLB371785z//eWCfhoYGvPfeexg5ciT8/Pwwd+5cFBUVCandnHS266KxxMREvccmorsYqoj0NGfOHBw9ehRHjx7FkSNHsGPHDsjlcsydOxfXrl1r03MvW7YM77//vl59T5w4gSVLlqC6uvqBfRISEpCeno6VK1di586dsLS0RHh4OGpra0WVbDY603VxT1paGuLi4lpbHpHZYagi0pONjQ169OiBHj16wNnZGY8++ijeeustVFdX44svvmjTc9vb26Nr16569W3p4zxVKhW2bt2KRYsWISAgAP3790dcXBxu3bqFAwcOiCjXrHSW6wIASkpKsGDBArzzzjtwd3dvbXlEZoehiqgVrKysAADW1tYA7t4OWrNmDZ555hn4+/vjm2++AQDs2bMHEydOxGOPPYYJEyZgy5YtUKvV2nEKCwsxe/ZsDBw4EOPGjcPJkyd1ztP0Ns/ly5cRGRmJIUOGwN/fH5GRkbhx4wZyc3MRFhYGABgzZgw2btzYrOaCggIolUoMHz5c22ZnZwcfHx+cPn1a0E/GvHXE6wIA8vPzoVAosG/fPvj5+Yn7gRCZCStTF0DUUZWUlGDNmjWwtbXFqFGjtO0fffQREhIS4OTkBA8PD+zYsQMbNmzAG2+8gYEDB6KwsBCxsbG4fPkyYmNjUVlZidDQUDz++OPYtWsXSktLERMT88DzVlZWIiQkBJ6enti2bRukUiliY2OxYMEC7Nq1Cxs2bMArr7yC3bt3w9PT8751A4CLi4tOu7OzM65fvy7op2O+Oup1AdwNf4GBgcJ/JkTmgqGKSE/JyclITU0FAKjVaqhUKnh4eGDDhg3o1auXtt+TTz6JgIAA7fPNmzcjIiICU6ZMAQD06dMHKpUKr776Kl599VUcOnQISqUSa9euRZcuXfDoo49iyZIlePnll+9bR3Z2NsrLy/Huu++iW7duAIC3334bu3btgkqlQpcuXQAAjo6OUCgUzb7/3poamUym0y6TyaBSqYz98ZitznJdEFHrMVQR6SkoKAihoaEAAAsLC3Tt2hX29vbN+rm5uWn/XVZWhpKSEsTHx2PTpk3a9oaGBjQ0NODSpUsoLCxEnz59tC96ADBo0KAH1lFYWIi+fftqXzgBoF+/foiOjtbr/yGXywHcXVvVOFipVCrY2trqNQb9orNcF0TUegxVRHpycHDQeWF8kHuhBbj7IgkAixcvxpNPPtmsr4uLC7Kyspq1S6XSB47/a8f00bNnTwBAaWkp7OzstO2lpaX4zW9+06qxzVFnuS6IqPW4UJ2oDXXv3h3du3dHcXEx3NzctI8LFy5g/fr1UKvV8Pb2RlFREcrKyrTfl5eX98AxPT09UVxcjPLycm3bxYsXMXToUJw/fx4SieRXa+rfvz/s7Ox0Fj1XVVXh7Nmz8Pf3b8X/lvTVHq8LImo9hiqiNiSRSDB//nykpaUhNTUVxcXFOHz4MJYtWwbg7rvuJk+eDCcnJ/zlL3/BuXPncPLkSaxevfqBY06ZMgXdunXDa6+9hoKCApw9exbLli2Dm5sbPD09tetlCgoKUFlZ2ez7ZTIZXnzxRcTFxeHLL7/EuXPnEBUVBRcXF4wbN65tfhCkoz1eF0TUegxVRG0sNDQUMTExSE9Px6RJk/Dmm29iypQpWLt2LQDA1tYWqampkEqlmD59OhYvXoz58+c/cDwbGxskJycDAGbOnImwsDD07NkT77//PiQSCfr374/AwEBERUUhPj7+vmO89NJLCAoKwl//+lfMmDEDGo0GSUlJzRavU9tpj9cFEbWORKPPjnBERERE9Ks4U0VEREQkAEMVERERkQAMVUREREQCMFQRERERCcBQRURERCQAQxURERGRAAxVRERERAIwVBEREREJwFBFREREJMD/A6wn/DetkUS4AAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -8986,6 +10012,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.977266609649329\n",
       "Iteration 2 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -8993,16 +10020,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 196 and from index 294 to 492\n",
       "Getting TEST DF for response 0 from index 113726 to 170589\n",
       "Getting TRAIN DF for response 0 from index 0 to 113726 and from index 170589 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55790  1073]\n",
-      " [   10    88]]\n"
+      "[0]\tvalidation_0-error:0.00707\tvalidation_1-error:0.010235\n",
+      "[5]\tvalidation_0-error:0.001985\tvalidation_1-error:0.004881\n",
+      "[10]\tvalidation_0-error:0.001268\tvalidation_1-error:0.003213\n",
+      "[15]\tvalidation_0-error:0.000648\tvalidation_1-error:0.001914\n",
+      "[20]\tvalidation_0-error:0.000479\tvalidation_1-error:0.00151\n",
+      "[25]\tvalidation_0-error:0.000382\tvalidation_1-error:0.001334\n",
+      "[30]\tvalidation_0-error:0.00033\tvalidation_1-error:0.001299\n",
+      "[35]\tvalidation_0-error:0.000215\tvalidation_1-error:0.001124\n",
+      "[40]\tvalidation_0-error:0.000189\tvalidation_1-error:0.001001\n",
+      "[45]\tvalidation_0-error:0.000165\tvalidation_1-error:0.000913\n",
+      "[50]\tvalidation_0-error:0.000147\tvalidation_1-error:0.000808\n",
+      "[55]\tvalidation_0-error:8.8e-05\tvalidation_1-error:0.00065\n",
+      "[60]\tvalidation_0-error:7.9e-05\tvalidation_1-error:0.000614\n",
+      "[65]\tvalidation_0-error:6.2e-05\tvalidation_1-error:0.000562\n",
+      "[70]\tvalidation_0-error:4.6e-05\tvalidation_1-error:0.000527\n",
+      "[75]\tvalidation_0-error:4.2e-05\tvalidation_1-error:0.000509\n",
+      "[80]\tvalidation_0-error:4e-05\tvalidation_1-error:0.000527\n",
+      "[85]\tvalidation_0-error:3.3e-05\tvalidation_1-error:0.000492\n",
+      "[90]\tvalidation_0-error:3.1e-05\tvalidation_1-error:0.000474\n",
+      "[95]\tvalidation_0-error:2.2e-05\tvalidation_1-error:0.000474\n",
+      "[99]\tvalidation_0-error:1.8e-05\tvalidation_1-error:0.000456\n",
+      "[[56855     8]\n",
+      " [   18    80]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -9014,6 +10060,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9696781953904963\n",
       "Iteration 3 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -9021,16 +10068,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 294 and from index 392 to 492\n",
       "Getting TEST DF for response 0 from index 170589 to 227452\n",
       "Getting TRAIN DF for response 0 from index 0 to 170589 and from index 227452 to 284315\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55707  1156]\n",
-      " [    8    90]]\n"
+      "[0]\tvalidation_0-error:0.010602\tvalidation_1-error:0.015976\n",
+      "[5]\tvalidation_0-error:0.00355\tvalidation_1-error:0.00309\n",
+      "[10]\tvalidation_0-error:0.00086\tvalidation_1-error:0.002791\n",
+      "[15]\tvalidation_0-error:0.000567\tvalidation_1-error:0.002142\n",
+      "[20]\tvalidation_0-error:0.000431\tvalidation_1-error:0.001826\n",
+      "[25]\tvalidation_0-error:0.00035\tvalidation_1-error:0.001492\n",
+      "[30]\tvalidation_0-error:0.000251\tvalidation_1-error:0.001159\n",
+      "[35]\tvalidation_0-error:0.000207\tvalidation_1-error:0.001053\n",
+      "[40]\tvalidation_0-error:0.000182\tvalidation_1-error:0.00093\n",
+      "[45]\tvalidation_0-error:0.00016\tvalidation_1-error:0.000948\n",
+      "[50]\tvalidation_0-error:0.000121\tvalidation_1-error:0.000808\n",
+      "[55]\tvalidation_0-error:7e-05\tvalidation_1-error:0.000702\n",
+      "[60]\tvalidation_0-error:5.5e-05\tvalidation_1-error:0.000685\n",
+      "[65]\tvalidation_0-error:5.3e-05\tvalidation_1-error:0.000685\n",
+      "[70]\tvalidation_0-error:4.6e-05\tvalidation_1-error:0.000632\n",
+      "[75]\tvalidation_0-error:4.6e-05\tvalidation_1-error:0.000597\n",
+      "[80]\tvalidation_0-error:3.7e-05\tvalidation_1-error:0.000562\n",
+      "[85]\tvalidation_0-error:3.7e-05\tvalidation_1-error:0.000544\n",
+      "[90]\tvalidation_0-error:2.2e-05\tvalidation_1-error:0.000544\n",
+      "[95]\tvalidation_0-error:1.8e-05\tvalidation_1-error:0.000544\n",
+      "[99]\tvalidation_0-error:1.5e-05\tvalidation_1-error:0.000544\n",
+      "[[56854     9]\n",
+      " [   22    76]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -9042,6 +10108,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9859614246486453\n",
       "Iteration 4 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
@@ -9049,16 +10116,35 @@
       "Getting TRAIN DF for response 1 from index 0 to 392\n",
       "Getting TEST DF for response 0 from index 227452 to 284315\n",
       "Getting TRAIN DF for response 0 from index 0 to 227452\n",
-      "Number of Xs and Ys for SMOTE:\n",
-      "[(0, 227452), (1, 227452)]\n",
       "Oversampling is complete!\n",
-      "[[55621  1242]\n",
-      " [   12    88]]\n"
+      "[0]\tvalidation_0-error:0.003618\tvalidation_1-error:0.00797\n",
+      "[5]\tvalidation_0-error:0.003425\tvalidation_1-error:0.007514\n",
+      "[10]\tvalidation_0-error:0.001521\tvalidation_1-error:0.004108\n",
+      "[15]\tvalidation_0-error:0.000714\tvalidation_1-error:0.00237\n",
+      "[20]\tvalidation_0-error:0.000585\tvalidation_1-error:0.001966\n",
+      "[25]\tvalidation_0-error:0.000407\tvalidation_1-error:0.001685\n",
+      "[30]\tvalidation_0-error:0.000251\tvalidation_1-error:0.001317\n",
+      "[35]\tvalidation_0-error:0.000193\tvalidation_1-error:0.001053\n",
+      "[40]\tvalidation_0-error:0.000152\tvalidation_1-error:0.001001\n",
+      "[45]\tvalidation_0-error:0.000123\tvalidation_1-error:0.000895\n",
+      "[50]\tvalidation_0-error:0.000112\tvalidation_1-error:0.00086\n",
+      "[55]\tvalidation_0-error:9.9e-05\tvalidation_1-error:0.000843\n",
+      "[60]\tvalidation_0-error:6.2e-05\tvalidation_1-error:0.000685\n",
+      "[65]\tvalidation_0-error:5.3e-05\tvalidation_1-error:0.00065\n",
+      "[70]\tvalidation_0-error:5.3e-05\tvalidation_1-error:0.00065\n",
+      "[75]\tvalidation_0-error:4.2e-05\tvalidation_1-error:0.000544\n",
+      "[80]\tvalidation_0-error:3.3e-05\tvalidation_1-error:0.000544\n",
+      "[85]\tvalidation_0-error:3.3e-05\tvalidation_1-error:0.000544\n",
+      "[90]\tvalidation_0-error:2.2e-05\tvalidation_1-error:0.000527\n",
+      "[95]\tvalidation_0-error:2e-05\tvalidation_1-error:0.000527\n",
+      "[99]\tvalidation_0-error:1.5e-05\tvalidation_1-error:0.000527\n",
+      "[[56850    13]\n",
+      " [   17    83]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -9070,18 +10156,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "AUC value is: 0.9764887536711042\n",
       "Iteration 5 out of 5 of CV for model fitting and obtaining results is complete!\n",
       "\n",
       "\n",
       "Final Results of 5 fold CV:\n",
-      "{'accuracy': 0.9791016450855144, 'sensitivity': 0.9045714285714286, 'specificity': 0.9792307827585601, 'precision': 0.07054882811203875, 'f1': 0.13084060455491373, 'auc': 0.9419011056649944, 'actual_accuracy': 0.9130081300813009}\n"
+      "{'accuracy': 0.9995154616432833, 'sensitivity': 0.8190612244897959, 'specificity': 0.9998276559449906, 'precision': 0.8919096323768999, 'f1': 0.8536465620211311, 'auc': 0.9793611655942118, 'pr_auc': 0.848661493811453, 'actual_accuracy': 0.9638211382113822}\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAioAAAEkCAYAAAAB0hpeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzde1xM+f8H8NdUM7oNRTeJXKdEKpJCqBTrskqsEEuIVsIPq7W2XFp3ShfWZcXSsmzuyros9mJzb33dlyVEotyqqbmd3x+ZU9NMdyvNvJ+Ph8funPM5Zz7nzHTOez6f9+dzOAzDMCCEEEII+Qhp1XUFCCGEEELKQ4EKIYQQQj5aFKgQQggh5KNFgQohhBBCPloUqBBCCCHko0WBCiEfIRqM9/Gjz4iQD6PSQCU8PBw2NjZK/5ycnDBw4EDEx8dDKpUqbff06VMsXrwY3t7esLe3R48ePTBhwgT88ssv5b5XdnY2Vq1ahU8++QSOjo7sNmfPnq3dUX7E7ty5A39/f9jb28PNzQ1CofC97j88PBy9evWqsExcXBxsbGwgkUje63v/FyQSCbZv346hQ4fCyckJjo6O+PTTT7F+/Xr23AmFQjg7O2PChAnl7qewsBCdO3fG3LlzAQBjxoyBjY0N/Pz8yt1m2bJlsLGxwZgxY97b8Tx+/Bg2NjbYs2cPAEAkEmHZsmXYv38/W2bMmDEYOXJkjd/jwYMHWLRoEby9vdGpUyf07t0b06ZNw//+978a7/Ps2bP47LPP4OjoiN69e2Pt2rWVfn8YhkHnzp1VXk+eP39e47p8aG/evEF4eDjS0tLquiofRNlrSG2/jx+TvXv3wsbGBhkZGXVdlY9CTa6dUqkUP/zwAwYNGgRHR0f07dsXS5cuRV5eXrn7OHr0KGxsbHDu3Lkq1UunKoUaN26MuLg4hWWvXr1CSkoK4uLiUFRUhFmzZrHr0tLSEBoaCmNjY4wePRo2NjZ4/fo1jh8/junTp2PgwIFYvnw5dHRK3j49PR0hISHg8/kYPXo02rRpgzdv3mDv3r0YP3485s2bh88//7xKB1WfxMXF4cGDB1i9ejWMjIygp6f3wevg7+8PNzc3hc/jY/XNN9/g6NGjCAoKQlhYGDgcDv7++29s3LgRZ86cwY4dO6Cnp4eBAwdiz549eP78OUxNTZX2c+zYMeTn52P48OHsMi0tLdy4cQMPHjxAy5YtFcozDIOUlJT3fjxmZmZISkpi3y87OxuJiYmIiop6L/s/efIkZs+ejZYtW2LChAlo3rw5nj9/jh9//BEBAQFYs2YN+vXrV619pqenIzg4GB4eHggJCcHNmzeRkJCAvLw8fP311+Vu9/DhQ+Tn5+Prr7+GnZ2dwjojI6MaHV9duHnzJvbt24dPP/20rqtSJ+bPn1/XVSD/kZpcO2NiYpCYmIgJEybA2dkZ//77LxISEpCeno6dO3dCS0uxPeT58+eIjIysXsWYSsydO5dxd3cvd/1nn33GuLq6sq+zsrKYrl27Mp9//jlTUFCgVP7QoUOMQCBgYmJi2GWvX79mevXqxQwfPpzJy8tTKC+TyZiwsDCmffv2zIMHDyqrbr0TGBjIjBgx4j/bf2WfX32SmZnJ2NjYMDt27FBad/DgQUYgEDBHjx5lGIZhrl69yggEAiYxMVHlvsaNG8f079+ffR0YGMj4+fkxjo6OzLp165TKnzt3junQoQMzYMAAJjAw8P0ckAqPHj1iBAIBs3v3boW6BQQEVHtfDx8+ZJycnJiQkBBGLBYrrCsqKmJGjBjBdO7cmXn9+nW19hsUFMR8+umnjEwmY5dt2bKFad++PZOVlVXudqmpqYxAIGCeP39evQP5yKSlpTECgYD5888/67oqH4Q6XUPKSk5OZgQCgVreW2qqOtfOgoICpkOHDsyKFSsUysjv82fPnlXaftKkSUzv3r0ZgUDApKWlValOtc5RMTQ0VHj9ww8/IC8vD99++63K1oFBgwahf//+SExMRH5+PgBg//79yMrKwvz582FgYKBQnsPhYNasWQgICKiwW4RhGGzfvh0DBw5Ep06d4OXlhYSEBLZbqrzujV69eiE8PJx9bWNjg3Xr1mHEiBHo1KkT5s+fj/bt22Pr1q0K2wmFQjg5OSE6OhoAIJPJsHnzZvj4+KBjx47o27cvvv/++wr7sW1sbHD+/HlcuXIFNjY2bKtVdnY25s2bhz59+qBTp04YOnQoTpw4obRt6XouX7683PepTNlzM2bMGHz99dfYunUrvLy8YG9vDz8/P/zxxx8K22VlZWHWrFno1q0bHBwcEBgYiPT0dIUyubm5WLhwITw8PNCxY0e4uLhg6tSpePToEVsmPDwcn3/+OaKiotClSxd4eXmhqKhIqZ45OTnlnk9vb2/MmDEDzZo1AwDY29vD1tYWBw8eVCqblZWFtLQ0hdYUAGjQoAE8PT2RmpqqtM3hw4fh7u6Ohg0bqnx/ALh16xZsbGwUtr9+/TpsbGywePFidplEIoGzszM2btyo0PVz7tw5eHl5ASj+1Vq2i2nr1q3w9PRkP48///yz3LoAwI4dO1BUVITIyEil1jIej4fw8HB89tlnePPmDQDA09NTZbeM/N/jx48hEolw7tw5eHt7g8PhsPsbMGAApFIpfv/993Lrc/PmTZiYmMDExKTCeldFUlISBgwYgE6dOqFHjx4IDw/Hixcv2PWenp5Yu3Ytli9fDldXVzg5OeH//u//kJ+fj61bt8LDwwNOTk4ICgrC48ePFfadkpICf39/ODk5oXv37vjmm2/w8uVLAMVdBWPHjgUAjB8/XuHakZycjMGDB6Njx47o1asXVq9eDZFIVOFx3Lx5E0FBQejatSscHR0xatQopc/1xIkTGD16NJycnNCxY0f0798f27dvZ9fLv0OpqakIDQ2Fo6Mj3NzcEB8fj4KCAkRGRsLFxQXdunXD/PnzFf62bGxssG3bNsydO5c93sWLF6OwsLDcOpft+rGxscHOnTuxYMEC9lowadIkPHz4UGG7ffv2sZ+Zr68vzp07Bzs7O+zdu7fc95JKpdi4cSMGDRqETp06wdHREQEBAfjrr7/YMnv37oWdnR2uXbuGUaNGoVOnTujZsyfWrFmjkJYgEomwcuVKuLu7w9HRETNmzMDbt28r+HSKeXp6YtmyZZgwYQIcHBwwY8YMAMDr168RGRmJHj16wN7eHkOHDsWZM2eUtv0vvofye0bZ+8KTJ09ga2ur0JW8atUq9OnTBx07dsTAgQOxb9++Co+3OtfON2/eYOjQofjkk08UyrVt2xZA8b2stF27duF///sfZs+eXWEdyqpyoCKRSNh/IpEIWVlZ2LhxI/7880/4+vqy5X777TfY2tqyNwxVBg0aBKFQyOaenDlzBk2aNEGnTp1Ulm/RogUiIiJga2tb7j6jo6Px7bffws3NDXFxcRgxYgTWr1/PBhLVsW7dOvTs2RMxMTEICAiAq6srjhw5olDm119/RUFBAYYMGQIAWLx4MdasWQMfHx8kJCRg4MCBWLVqFVauXFnu+yQlJaF9+/YQCARISkqCv78/Xrx4gWHDhrHdZ9HR0bC0tMTUqVOVvmCl6zlw4MBqH2dFjh8/jgMHDmDWrFmIjo6GRCLBtGnT2Jvay5cvERAQgCtXruDLL7/EqlWroK2tjbFjx+LatWsAioPHyZMn48yZM5g+fTo2bdqEkJAQnD17Ft98843C+126dAk3btxATEwMZs2ahQYNGijVycbGBs2aNcPy5cuxcOFC/P7772w/qK6uLkJCQtCxY0e2/LBhw3D9+nXcu3dPYT/79++Htra2wvdWbsCAAbh9+zb+/fdfdplEIsEvv/yCwYMHV3jObG1t0bRpU4WcKvn/l+6LvXLlCt6+fQsPDw+F7e3s7LB27VoAwKRJkxSa2P/++28cOHAAc+bMwerVq1FYWIipU6ciNze33PqcOXMGdnZ2MDc3V7ne0dERc+fOhZWVFQBg7dq1SEpKKvefmZkZHj16BLFYjNatWyvsy9zcHLq6ukrnurRbt27B0NAQISEh6Ny5M5ycnDBz5kyli1llDh06hKVLl8LPzw8bNmzAjBkzcOrUKcyZM0eh3A8//ID79+9jxYoVCA4OxpEjR/DZZ5/h6NGj+PrrrxEeHo7Lly8rNEOvW7cOM2fOhJ2dHaKjoxESEoJffvkFY8eOhVAoRO/evdnP5auvvsKUKVMAAJs3b8a8efPg5OSEhIQEjBkzBj/88INSnUrLy8vD+PHj0aBBA6xcuRIxMTHgcrmYPHkyG8ifPn0aU6dORbt27RAXF4eYmBg0a9YMUVFRuHjxosL+IiIi0KJFC8THx8PV1RVxcXEYPnw4e4MeNmwY9uzZg23btilsl5CQgOzsbKxcuRLjxo3D7t27q30jiY6OxqtXr7B8+XLMnz8f6enp+PLLL9n1+/fvR3h4OBwcHBAbGwsvLy9MmTIFMpmswv2uXr0a8fHx8Pf3x4YNG7BgwQK8fPkSYWFh7A9doPiH4tSpU9GnTx+sX78enp6e2LBhA5KTk9ky4eHh2L59O8aMGYOYmBjo6OhUeH0ubceOHbCyskJcXBwCAgIgEokwbtw4HD16FCEhIVi7di2aN2+OKVOm4Ndff1XY9r/4Hjo5OaFly5Y4fPiwwnsdPnwYPB4P/fv3BwBMmzYNO3bswMiRI5GQkABnZ2eEh4cjKSmpwuOt6rXT3NwcixYtUrjuAsVdzkDxNVvu4cOH7LW7cePGVTntJSprcpk7dy4jEAhU/vPw8GDWrVvHiEQitryjoyMTFhZW4T5v3bql0LQ0YMAAZvjw4VVqAlLlzZs3TIcOHZjIyEiF5WvWrGE+++wzRiqVMrGxsYxAIFBqAnd3d2fmzp3LvhYIBMywYcMUyuzbt48RCARMRkYGu2zy5Mlsufv37zM2NjZMXFycwnbr169n2rdvzzx58qTcupdt1l+xYgXToUMHpabIMWPGMK6urmz9VdVTlao025Y9N4GBgYy9vT3z8uVLtszZs2cVulbWrFnDdOjQgbl//z5bRiQSMQMGDGCCgoIYhinuBhw1apRS89+iRYuY9u3bK9RRIBAwd+/erfR47t69ywwdOpT9DrZv357x8/NjEhISmDdv3iiUffXqFdOxY0dmzZo1Csv79evHTJ8+XWGZ/HMoKipinJ2dmfj4eHbdqVOnGEdHR6agoIAJCAiosOsnIiKC8fDwYF8HBQUxQ4cOZWxsbJicnByGYRhm1apVjKenJ8Mwyl095XX9dOzYkd2eYRjm9OnTjEAgYE6ePFluXRwcHJgZM2aUu74mrly5wggEAubMmTNK69zc3Jhvvvmm3G3d3d2ZDh06MJs2bWIuXLjA/Pjjj4ybmxvj4+PD5OfnV7kOERERTL9+/RS6nk6cOMHExsayyzw8PJgePXowRUVFbBkfHx/GwcGByc3NZZctWLCAcXR0ZBim5PsSHh6u8H7nzp1jBAIBs23bNoZhlLt+3r59yzg4OChtJ++OvHz5ssrjSE9PZwQCAXPp0iV2WU5ODrNkyRLmzp07DMMwzIYNG5iZM2cqbJebm8sIBAImISGBYZiS78zUqVPZMs+ePWMEAoHSdXXAgAHM5MmT2dcCgYDx9vZWuC5u2bKFEQgEzK1btxiGUb6GlL1mCQQCxt/fX+F9oqOjGYFAwJ7rPn36MJMmTVIos379ekYgEDDJyckqzw/DMMyMGTOYTZs2KSw7evQoIxAImAsXLjAMU9J9U7pLWCaTMb1792aP9e7duyq7Mz7//PNKu348PDyYnj17Kpyj3bt3MwKBgDl37pxC2aCgIMbHx0dh2//qexgfH8906tRJIV1i0KBB7LXtzz//ZAQCAbNv3z6F/cyfP59xdnZmhEJhucdcnWtnWVeuXGE6derETJkyhV0mkUiYESNGMLNmzVKo23vt+mnSpAl+/vln/Pzzz9i6dSt69uyJRo0aISIiAiEhIeByuaUDn0qTMuXrmXfN+Nra2ipHDlVVeno6xGKxUlLgzJkz8dNPPykl81RGIBAovPbx8YG+vj4bvb569Qp//PEHG1WmpaWBYRj07dtXoeXJ29sbUqm0WqMDzp8/D3t7e1hbWyss9/X1RW5uLu7evVtuPd+nNm3aKCQ4WlhYAADb/ZaWlgaBQAArKyv2eDkcDjw8PHDu3DmIRCKYm5sjKSkJbm5ubJNhUlISrly5AqlUqvCZc7lctGrVqkr1Sk5OxoEDB/Dll1/C3d0dDx48wNq1azFgwAA8ePCALduoUSN4e3vj8OHD7HctPT0d9+/fV+r2kePxeOjbty+OHj3KLjt8+DC8vLyqlOjs4eGBzMxMPHz4ECKRCJcuXcKkSZOgpaXFtqqcOXMGnp6ele6r7HGX/hXSokULAGBbuFSp7t+VVCpV+P6W/QeA/QVcutunqlavXo3du3dj4sSJcHZ2xsiRIxEbG4sHDx5U2hxdWo8ePXD//n34+/vju+++w7Vr1+Dp6Ylp06Yp1Ktjx47g8XjsazMzM7Rs2RLGxsbsMmNjYxQUFEAikSA9PR0ikUip5czFxQXNmjXD+fPnVdbnypUrEAqFSn//Hh4e0NLSKreLrl27djA1NUVISAgWLlyIkydPgsfj4auvvkK7du0AAMHBwVizZg0KCwtx69YtHD16FJs3bwYApW6lLl26KBwrUNxqVpqxsTFev36tsGzgwIEK12z5r/ELFy6orLcqpd8bAJo2bQqg+HqRkZGBJ0+esPuVq6yFEihuqZk4cSJevXqF9PR07N+/n70Oi8XicuvA4XBgYWGBgoIChWPp27evwjaDBg2qyuGhTZs2Cufor7/+grGxMTp37qzwmfft2xcPHjxAZmYmW/a/+h4OGTIERUVFbPfPnTt3cOfOHfa+JO8e8/T0VKrjmzdvcPXq1XKPtybXTqC45XjixIlo3rw5li5dyi7ftGkTMjMzlVrSq6pKwzx0dHRgb2/PvnZ2dsbYsWMRGhqKbdu2KXxBrKysFD4kVeTNmpaWlux///7770q3ad68ucp18n6799H3rWo/+vr66NevH44cOYIvvviCvYkNGDBA4f3l3UBlPXv2rMrv/fr1a5VdXPI6le5TfV/Hq4qurq7Ca3mwJ79RvXz5EhkZGejQoYPK7V++fAlzc3McPnwYa9asQWZmJoyMjGBnZ8fumymVb9K4ceNqBZS2trawtbXFhAkTIBKJkJycjKioKKxZswaxsbFsueHDh+PIkSO4dOkSnJ2dsXfvXjRr1gzdu3cvd98DBgzA3r17ce/ePTRr1gwnT55ETExMlerl5uYGPT09/Pnnn2jVqhUkEgl69eoFOzs7nD9/Hp07d8bt27fx1VdfVflYASgFSWU/D1UsLS0r/FtkGAaZmZls14+3t3eF5U+ePMnm6Kgaepifnw8+n1/u9l27dlVa5uzsjIYNG+LmzZvlbleWj48P4uPjkZSUhPj4eERHR8Pc3BwhISEKuRNl890A5fNYOrCR38BV/V2ZmJiUGxTK//6/+OILlevL+/vX19fHzp07sWHDBvzyyy/48ccfwePx4OPjgwULFoDP5+Ply5dYuHAhjh8/DoZhYG1tDWdnZwDK87hU93jlynYNNmnSBACUApqKVHS9kHdPlm3ur8r16/r161i8eDGuXLkCXV1dCAQCNggqe/yqjlVe5tWrVyrrIA/oKlO2ri9fvsTLly/Lvf49e/aMTX/4r76HVlZW6Nq1K44cOYIhQ4bg0KFDaNKkCXr27MnWEVD9dyevY0Wqe+3cu3cvIiIiIBAIsGnTJvaH7s2bNxEfH4+4uDgYGBhAIpGw1y2ZTAapVAptbe0K61Kj8ahcLhfLli3D4MGDMXfuXBw5coTNKfDy8sLmzZvx+PFj9gJYVmpqKnR1ddGjRw8AgLu7O06dOoWrV6+qzFPJzMyEt7c3JkyYoLLPV37xLNtfn52djXv37sHJyYn9IpS9sJfu56zIkCFDsG/fPty5cweHDx9Gr1692IhY/v6JiYkqL9RV/WMAiiNZVXNKyPvxS0fhdYnP56NLly7l3nCNjY1x8eJFzJkzB2PGjMGECRPYC+KKFStw6dKlar/n0qVLcfz4cZw8eVLhD5vH42HkyJE4c+aMQosTALi6usLKygqHDh1Cp06dkJqaiqCgoApbBNzc3GBsbIzU1FS0adMGPB6vwsCmtAYNGsDV1RVnz55FdnY27O3toa+vD1dXV5w6dQp2dnbg8/nszea/1LNnT2zbtg3Z2dkqv4MXL15EYGAgIiMjMWrUKKxfv77C5E/5PnR0dJTmncjKykJhYSHatGmjctvc3FwcO3YMLi4uCvktMpkMIpGo2t9rb29veHt7QygUIi0tDYmJiViwYAE6duzI/qiqbqtPo0aNAAAvXrxQaq3Mzs6Gg4ODyu3kf//Lly9XefwVHVvz5s0RFRUFhmFw69YtpKSk4Pvvv2dbrGfNmoV79+4hMTERjo6O4PF4EAqF2L17t9K+atLKBZTc0OTk1x95wFJb8tbY0snOQHFyfEXy8vIQFBQEGxsbpKSkoFWrVtDS0sKZM2cqnI9LFXmA8uLFC7Y1ElA+9qri8/lo3rx5uTmQpVuH/8vv4ZAhQxAZGYlXr17hyJEjCq1jfD4furq62LFjh8r3Ke/+LFeda2dsbCwSEhLg7u6OtWvXKgRnJ06cgFgsZvO5Shs3bhyaNWumlNdTVo1H/VhbWyM4OBiPHj3Cxo0b2eVjxowBn89HeHg42+xW2rFjx3DgwAGMHTuWHTH06aefwtTUFEuWLFHahmEYLFu2DBwOp9zJuDp16gQul4vjx48rLE9KSkJISAgYhmHf68mTJ+z669evVzgpTWmurq6wtLTErl27cOnSJYVETHnEmpOTA3t7e/ZfQUEBVq1aVa1kwa5du+J///ufUsb8wYMH0bhx4yp1j3wILi4uuH//PqytrRWOOSUlBVu3bgWXy8WVK1cgk8kQEhLCBikSiYRtCq8ska6stm3bIjMzU+UoAbFYjIyMDKU/bA6Hw46aOnPmDPLz8zF06NAK30dHRwc+Pj745ZdfkJqaiv79+yt0b1amT58+OHfuHC5cuABXV1cAxd+fu3fvYu/evXB3dy93f5X9sqiO0aNHg8vlYvHixUqj3eSjAfT19dmMfRsbG4XPsuw/Ho8HHo8HFxcXHDt2TOHzS0lJgY6ODtzc3FTWRUdHB4sWLUJiYqLC8hMnTqCwsBDdunWr8nHNmDGDbb3Q09ODh4cH+wOmstbcijg4OIDH4+HQoUMKyy9cuICnT5+yLcdlPyP5dllZWQrny9DQEMuXLy83wfjo0aNwdXVFdnY2OBwO2rdvj1mzZqF169bscVy6dAl9+/aFi4sL230gH1lStkWhpspeN+UtxvLvbm1ZWFigRYsWOHbsmMLyyoKNf//9F69evWLn1ZK30siPvzrXDzc3N3A4HKVBEfKkz+rq1q0bsrKyYGRkpPCZX7x4EQkJCdVONyitqt9DoLibTkdHB/Hx8cjMzFS4L3Xr1g2FhYUQi8UKdczIyEBMTEylk4tW9dq5ceNGJCQkYNiwYdiwYYNSC9Jnn33Gpo7I/0VERAAAFi5ciPXr11d6Tmo1w9ekSZOwf/9+bNq0Cb6+vmjevDlMTEwQFxeH0NBQ+Pr6YsyYMWjbti3y8/Nx8uRJ7N+/H/369cP06dPZ/fD5fCxfvhyhoaHw9/fH6NGj0bp1a2RnZ+Onn37C5cuXsWDBAnbIU1mNGzfG2LFjkZiYCC6Xi+7du+PmzZv4/vvvMXnyZPZitmzZMsyfPx+TJk3Cy5cvER8fX+WJpjgcDgYPHozNmzejYcOG6NOnD7tOIBDA19cXERERePToERwcHPDw4UOsXbsWJiYmCpnPlRk/fjwOHjyIcePG4YsvvkDjxo2xf/9+nDt3DlFRUTW6kRUUFCgNrwaKz1tNJ62S13Ps2LEYP348mjRpghMnTmDnzp2YPn06OBwO2zq2ePFi+Pv74/Xr1/jxxx9x+/ZtAMX916X7biszZMgQHDx4EN988w0uXryIPn36oFGjRsjMzMSuXbuQk5ODadOmKW3n7++P+Ph4rF69Gr169Sp3FExpAwcOxE8//YT79+8r3Vwr4+HhgcjISFy4cAGhoaEAivvPuVwuLl++XOFIA3mLXFpaGtq3b6+UTV8dVlZWWLhwIb7++msEBARgxIgRaNasGR49eoQdO3bg33//RXx8fLVbM6ZOnYqxY8fiiy++wPDhw3Hnzh3Ex8dj1KhRbLO8SCTC1atXYWlpCUtLSzRs2BCff/45EhMTYWhoiO7du+PWrVtYt24d+vTpwzZXl91OFVdXV0RGRmLx4sXo06cPhEIhNm/eDGNj43IDpaowMjJCcHAw4uPjweVy4eXlhcePHyM2NhatWrWCv78/gJLP6LfffoOpqSnatWuHSZMmIT4+Hm/evIGbmxtycnIQHx+PwsLCcj/Dzp07g2EYTJkyBRMnTkSjRo3w+++/459//sHEiRMBFP8IO3z4MDp06AALCwtcvnwZmzdvBofDUflDsCZu3ryJ6dOnw8/PD7dv30Z8fDyGDRumNOlhTXE4HISFhWH27NmYN28e+vXrh1u3buG7774DgHJv6q1btwafz8eGDRugra0NLpeLo0ePsrM2V2cW7+bNm2PUqFFISEiAWCyGg4MDTp48id9++61Gx+Tn54ekpCSMHz8ewcHBsLKywrlz57Bp0yb4+flBX1+/RvsFqv49BIqnB+nbty9+/PFHtGvXTqErqlevXnBxcUFoaCgmT56Mdu3a4caNG4iPj4eTk1O5f1+lVXbtlOcHtm7dGn5+frhy5YrC+pYtW8Lc3FxpO3kKQ6tWrap0f6xVoNKgQQPMmzcPISEhWLp0KdatWweguFVg//79+OGHH5CUlISnT5/CwMAA7du3R3R0tFJSFVCcILdnzx4kJiZi69atyM7ORsOGDWFnZ4ekpKRKm8rnzJkDU1NT7Ny5E9u3b0ezZs0we/ZsdjZba2trrFq1CgkJCZg6dSqsra0xZ84c7Ny5s8rH6+vriw0bNuCTTz5RusEuWbIErVq1wt69e7Fu3ToYGxvD29sb06dPr9bNWH4Mq1evxooVK1BUVAQbGxvEx8fD2xDe5OEAACAASURBVNu7yvsp7e3btwqJTXK2trY1DlTMzMywa9curFmzBkuWLEFhYSFatGjBdiMAxRF9REQEEhMTcfz4cZiYmMDFxQXjxo3D1KlTcfHiRXbekKrg8Xj4/vvvkZSUhNTUVJw4cQJCoZDtl5UP3SzLwsICPXv2xG+//VbhcNHSunbtCjMzM2hpaVW7m8bc3Bx2dna4e/cunJycABT/8nd0dMTly5crfKSBoaEhJk2ahB07duDWrVtKvwCry9fXFy1btsS2bduwbt06vHjxAiYmJnBwcMDKlSsrHPJfHmdnZ6xbtw4xMTGYPn06TExMMHnyZEydOpUtk52djdGjRyM0NJQNHmfPng1zc3Ps2bMHSUlJaNy4MVumou3KCggIgFQqxa5du5CcnAwdHR04OztjyZIlbLN5TU2bNg0mJibYsWMH9u7dCyMjI/Tv3x8zZ85kfym2a9cOQ4YMQVJSEu7du4dNmzYhLCyMnWX4hx9+QMOGDdGtWzfMnDmz3C4UMzMzbNmyBTExMVi0aBHy8/PRqlUrLFmyhP1lvGzZMixevBhLliwBUHzhX7BgAVJSUmrUfapKYGAgXr16hRkzZsDIyAiTJ09GSEjIe9m33ODBg1FQUIDvv/8eBw8eRLt27TB//nzMmzev3Ju6oaEhEhISsGLFCsyaNYu9h+zYsQPBwcG4ePFita6J8+fPh4mJCXbv3o3Nmzeja9eu+Oqrr9hf99Whr6+PHTt2IDo6GmvXrsWbN29gaWmJadOmYdKkSdXeX1lV+R7K+fr64vDhw0o5klpaWti4cSNiY2ORmJiIFy9ewMzMDCNHjlT4m6tIZdfO48ePQyKR4N9//8Xo0aOV1kdFRVWYfFtVHOZ9tR8SQsh78PPPPyM3NxfBwcF1XRW1Z2NjgylTpmDmzJn/6fvs378f9vb2Cjk8p06dwpQpU3Do0KH/dAQjqf/o6ckoTqh99uxZpbNIVmbDhg2VPqyrqKgICxcuhJubG5ycnBAWFqaUZEaIpsrLy8O2bdtq1YVDPj6pqalsqkBaWhp2796NyMhIdO/enYIUUqmP/yl0/5GTJ0/i0KFDSEtLUxiG17hxY7i7u+OTTz5B7969q7y/pKQkREdHs0395YmMjMTly5cRFxcHHo+HBQsWYNq0adXqgiJEXRkYGGDFihVo3759XVeFvEfLli3D6tWrsWbNGuTm5sLExAQDBgxAWFhYXVeN1AMa1/Xz119/YcmSJbh37x4cHR1hb2+PZs2aQU9PD69fv0ZWVhYuXbqE27dvQyAQYM6cOewwalWePXuGyMhInDt3DhYWFjAyMio36MjKyoKHhwe+++47NgjKyMiAj49PlfJwCCGEEE2jUS0qUVFR+OWXXzBu3DgMGjSowtEfz549w+7du/Hll1+if//+5c6od/36dRgYGODgwYNISEhQml+itMuXL0Mmk8HFxYVdZm1tDQsLC1y4cIECFUIIIaQMjQpUdHV18csvv1Rp6Ji5uTmmTZuG8ePHs6OZVPH09KzydOjPnj2DkZGR0qyEZmZmePr0aZX2QQghhGgSjQpUqvtEUKB4iFzpp4DWhlAoVDnRF4/Hq3UiLyGEEKKONCpQKW3o0KHw9/fH4MGD2Smw/2u6urpKD9ICiie5qskEQS9f5kMm06gUI5WaNDFETk7VZhhWd3QuStC5KFEX50IilSG/UIJ8oRj5hWLkCcUoKJQgv1CMfKEEeYUSFAhFyC+SIF8oQUGhGNJyrmc6Olow1OVCX1cHhnpcGLD/rwN9XR4MdXVgoKcDA10uDPS40G+grTSRnJYWB8bGys/dIR8/jQ1UWrRogeXLl2P58uXw8vLCsGHDKkyafR8sLCzw+vVrFBUVsc9GAoonuZI/D6M6ZDKGApV36DyUoHNRgs5FidqcCxnDoKBQgrcFIuQJxcgrEOOtUIy3BSK8LSgOQvJKvX4rFKNIpPrJ3RwABnpc8PW5MNTjgq/PQzMTA/D1ueDrcWGoX7zM8F0Zvh4PPK5WtZ+ZQ5+9+tDYQCUmJgZv3rzBoUOHsG/fPkyYMAEWFhbw9fWFv79/uU9qrg35MxrOnz8Pd3d3AMWjfrKyssp9wiUhhLxvIrH0XWAhxlvhu2DjXYCRVyB6F4S8C0AKRMgTSiArZ4Aoj6sFvh7vXYDBhUVjfRjq8YoDkXeBRklQUtwaoqVVswcoEs2ksYEKUPzU09GjR2P06NH4559/kJKSghMnTmDDhg1wdnZGQEAA+vXrxz6NsiaeP38OfX19GBgYwNzcHAMHDkRkZCSWLFkCAwMDLFiwAC4uLpXOv0IIIarIZAzyC0sCC3nwkVcgXyZCkZRBzivhu2BEBJFY9QP9OBy8a9UobtFo2kQffKtGMNTnlWrtKAk+DPS4aMB9fw/SJEQVjQ5USnvx4gVycnLw4sULaGtrQyqV4quvvkJMTAxiYmIUHvZUHT179lR4bon8uR3Tpk0DwzBwd3cvd+gzIUSzMAwDkVhW0srxrjulpKul1LJ3r/OFYpTXydGApw2+HhfGDXXRyKC4i4XtUikVfMi7YPR1daBVzS4WQv5rGjfhW2n//vsvDhw4gIMHDyIrKwstW7bEsGHD4Ofnh8aNGyM3NxcTJ05EYWEhUlJS6rq6SnJy8qgfFoCpKR/Pn7+t62p8FOhclPgYzoVUJkO+UKIQWLDdK/Kgo0zgIZaobu3Q1uLAUN6q8a7Vg18q18OwVPBRnOOhA65OcWvHx3Au6pqWFgdNmhjWdTVIDWhsi8rw4cNx7do16Orqon///hg2bBibQyLXuHFjeHp6YuvWrXVTSULIR4NhGBSKpO8CjeIulbcFil0tZYOR/EJJufvTa6DN5nYYGzZAczPDMvkcPDYo4etzoddAp9oJpYSoA40NVBiGwYIFCzBw4EAYGpYfZfft27daz/whhNQPEqkM+aUCC4URLaWTTIUlAYhEWn5rR3GAURxoWJsblgQb7OiVd60g7wIRHW16JiwhVaGxgUpgYCB69eqlMkh59uwZDh48iEmTJsHW1rYOakcIqQ6GYSAskpYkkQrF4NzPxZPst+yIFnb47LtgpKCo/NYO/QY67KiVJg11YW3BL9Wlwi01oqV4mS5Pm1o7CPmPaFSgIpMV/xpiGAZfffUVtm/fDiMjI6VyaWlpiIuLw6RJkz50FQkhAMQSmVLSaNlAg1337nW5k4VpaynM0WFipKfcylEqx8NAV4daOwj5iGhUoDJ69Gikp6cDKA5WxowZU27Zjh07fqhqEaLWZAwDYZGk1FwdFY1oKV5XWMlkYfLkUVMjPbS2bFgyb8e7Fg6+PhctmhlBXChCAy61dhBSn2lUoBIVFYXU1FQwDIOEhAT4+fnB0tJSoYyWlhYaNmyIAQMG1FEtCfm4iSVSNolUqZVDxYiWvAJx+ZOF6WixuR2G+lyYN9YrCTb0uKW6Wd7N26GrA22tqrV2mDYxwPPnqnNKCCH1h0YFKm3atEFoaCgA4MmTJ5gyZQpatGhRx7UipO6Unhpd1RwdqpYViSufGp2vVzxDadvSrRylcjvky2iyMEJIZTQqUJHJZOyDqr799lt2WXnKPtSKkI9doUiCnNeFCjOTvhWWdKnIczveCktGs5Q3k1IDrrZCd0rTJu+ex1J6+GypycP0G+jQ1OiEkPdOowKVDh06ICkpCZ07d4adnV2F/dYcDgc3btz4gLUjRJFMxiBPPjV6mQnDyg6llQcionImC9PicGCop8MGF81MDBSTSMuOaNHjgketHYSQj4BGBSpTp05lc1KmTp1KCXbkg2EYBkViqULiKBtslHnqrHwobUVTo+vytNncjkaGPFiZGsBQnwsLUz44Mhn7PBb5s1n0GtDU6ISQ+kljp9DPz8+HgYFBXVejVmgK/WJ1MT24VCZDnnxq9DJJpaWfOvu2VGBS0WRh7LToSjOSKrZyyF9zdVR3S9JU6SXoXJSgc0FT6NdnGtWiUlqPHj3Qt29f+Pr6okePHtS6osFKT43ODpdlR62Uyu0oNU16xVOj67AJpY0b6qKFOZ9t2VAY0fKu1UOvAQ2fJYSQ8mhsoDJx4kSkpKTg8OHDMDU1xeDBg/Hpp5/STLRqQCKVlUwSVqaVQ3lES/FribS8ycI4bCuGoR4X1ha6Jc9jUTGixYCmRieEkPdKY7t+5K5fv45Dhw4hNTUV2dnZEAgE8PPzw6BBg2BiYlLX1auQJnT9MPLJwtjAo0ywIRRBJGWQ80rItnoIi1QPnwUAA10d1U+dfRd8lJ7Tg6/HrXdTo1MTfwk6FyXoXFDXT32m8YGKHMMwOH/+PA4cOICDBw8CAK5du1bHtapYfQxUSk+NXrqrpexTZ0snlZY3NTr33WRhRnxd6HG1yjyHRTEY4evzYKBX9cnC6iu6IZWgc1GCzgUFKvWZxnb9lCYSiXDq1CmkpKTgt99+g46ODry8vOq6Wh+90pOFsUNlS41gUTWipaiSqdHlgYW5sT7aWJZ+HkupxNJ3gQePqwUOh0MXYUIIUWMaG6jIZDL8+eefOHLkCE6cOIH8/Hx06dIF8+bNwyeffKLyqcrqTiSWKnSplCSRKud6FM/rISl/anSuVsnw2HezlBqWyu0oO6LFQJdLk4URQghRorGBSo8ePfDq1Ss0b94c48aNg6+vL6ysrOq6Wu+NTMYgv7B0EqlYYbbSPKFIMe9DKIJIrHr4LIcDhaGxTZvog2/ViM3tkI9o4evx2JwPmhqdEELI+6CxgYq3tzd8fX3RuXPnuq7Ke7X3t39x+kom8gsrmBqdp83mbzTU5xXPUlpqKvSy83bo69JkYYQQQuqGxgYqixYtqusq/Ceu38+BLk8bHk7NSrpZyjyJlqtDrR2EEELqB40KVPr06YP4+Hh07NgRffr0qbAsh8PBqVOnPkzF3iORWAZrcz78erWu66oQQgghtaZRgYqbmxsaNmwIAHB1da1X82NUVZFYCh5XvYfgEkII0RwaFagsXbqU/f9ly5ZVWFYiKX+K9I+ZWCKjp94SQghRGxr709vLyws3btxQue7SpUvo0aPHB67R+yGSSMGjHBRCCCFqQqNaVDZu3AihUAgAyMzMxPbt22FhYaFU7u+//4ZMpnqo7sdOJJZR1w8hhBC1oVGBikwmw/r16wEUJ8vu27dPqYyWlhb4fD5mzJjxoatXaxKpDFIZA54OBSqEEELUg0YFKlOmTMGUKVMAALa2tvjxxx/Vah4VsaS4FYhyVAghhKgLjQpUSjt58iTMzMzquhrvlUhc/BwdClQIIYSoC40KVNauXYsRI0bAwsICP//8c4VlORwOwsLCPlDN3o8ieYsKdf0QQghRExoVqKxfvx7u7u6wsLBgc1XKUx8DFXmLCj1nhxBCiLrQqEDl1q1bKv9fXcgfKsilFhVCCCFqgu5opbx48QLXr1+v1tBkmUyG2NhYuLu7w8HBAUFBQcjIyCi3fHZ2NmbOnIlu3bqhW7dumD59OrKyst5H9SGWUI4KIYQQ9aKxgYpQKERERAR27NgBADh+/Dj69OmDYcOGYfDgwXj27FmV9pOQkICdO3ciKioKP/30E7S1tTFhwgQUFRWpLB8WFoanT59iy5YtSExMRFZWFkJCQt7LMRWJ5aN+NPZjJYQQomY09o62evVqHDhwAAYGBgCAVatWQSAQICYmBlKpFKtXr650HyKRCFu2bEFoaCh69+4NW1tbREdH48WLF0hNTVUqn5ubiytXriA4OBgdOnSAnZ0dgoODcePGDeTk5NT6mNgcFZqZlhBCiJrQ2EDlxIkTmDVrFvz8/HD37l1kZGQgODgY/fr1w9SpU/HHH39Uuo+bN2+ioKAArq6u7DJDQ0PY2dnh4sWLSuX19fWhr6+P/fv3Iy8vD/n5+Th8+DBatmwJIyOjWh+T6F3XD5daVAghhKgJjUqmLS0nJwcCgQAA8Mcff0BHRwc9e/YEAJiYmKCgoKDSfci7h8zNzRWWm5mZ4enTp0rldXV1sXTpUixYsADOzs7gcDgwMTHBjh07oK1d+1YQeTItPeuHEEKIutDYQKVp06bIyMiAq6srTp48CXt7exgaGgIALl68qPIZQGXJnxvE4/EUlvN4PIhEIqXyDMPgxo0bcHBwQHBwMKRSKWJiYvDFF19g165d4PP51TqGJk0MFd9XlwsAsGzaCIZ63Grtq74zNa3euVNndC5K0LkoQeeC1FcaG6h8+umnWLVqFY4dO4YLFy7g22+/BQBERUVh165dCA0NrXQfurq6AIpzVUoHKyKRCPr6+krlU1JSkJSUhNOnT7NByfr16+Hh4YHdu3djwoQJ1TqGnJw8yGQM+zr3ZXEr0NvXBRDmaU73j6kpH8+fv63ranwU6FyUoHNRgs4FoKXFUfpxR+oHjQ1UQkNDoaOjg0uXLiE8PBz+/v4AgGvXriEoKAjBwcGV7qNp06YAioccy1tj5K/btm2rVP7SpUuwtrZWaDlp1KgRWrVqVeGQ5qoSSaTQ4nCgrcWp9b4IIYSQj4HGBioA2AcUlrZr164qb29rawtDQ0OcP38erVu3BgDk5eXhxo0bGDVqlFJ5CwsLPHz4EEKhEHp6egCAgoICPH78GAMHDqzhUZQQiWXgcrXA4VCgQgghRD1odKCSl5eHv/76CwUFBWAYRmm9r69vhdvzeDwEBgYiOjoaJiYmsLKywurVq2Fubg4fHx9IpVLk5uaCz+dDV1cXvr6++P777zFz5kzMmDEDABATEwMul8u26NSGSCJDA5qVlhBCiBrR2EDlzz//xLRp08od3cPhcCoNVIDiCdykUikiIiIgFArRpUsXbN68GTweD48fP4aXlxeWLl2KoUOHwszMDD/++CNWrlyJcePGAQC6dOmCnTt3olGjRrU+JpFYSrPSEkIIUSscRlVTggYYOnQoJBIJvvrqKzRt2hRaWsotES1atKiDmlVd2WTadfv+hyc5BYia2K0Oa/XhUaJgCToXJehclKBzQcm09ZnGtqjcvXsXMTExcHNzq+uqvDciiYweSEgIIUStaOxdzczMTOVcJ/WZSCylHBVCCCFqRWPvaoGBgdi4cSPevlWf5lCRREY5KoQQQtSKRnf9ZGZmwt3dHa1bt2aHC8txOBz2ycr1hUgshZFhg7quBiGEEPLeaGygkpGRwT7rR12IxDLw6IGEhBBC1IjGBirbt2+v6yq8d0USKXiUo0IIIUSNaGygIicSiXD16lU8e/YMPXv2hFAorNIDCT9GIrGMnpxMCCFErWh0oLJz507ExMTg9evX4HA4+Pnnn7FmzRoAQHx8vFLeysdOLKEJ3wghhKgXje0n2L9/PxYuXIh+/fphw4YN7BT6fn5+uHz5MuLj4+u4htUjlckgkTKUo0IIIUStaGyLyubNmzFy5EhERkZCKpWyywcNGoSsrCzs3LkTc+bMqcMaVo9ILAMA6vohhBCiVjT253dGRgY8PDxUruvQoQOeP3/+gWtUOyLJu0CFWlQIIYSoEY29q5mYmOD27dsq1/3zzz8wMTH5wDWqHbG4uFWIWlQIIYSoE40NVAYOHIh169bh4MGDEAqFAIoneUtPT8eGDRvwySef1HENq6eIWlQIIYSoIY3NUQkLC8M///yDL7/8EhwOBwAwevRoFBYWomvXrggLC6vjGlaPSN6iQqN+CCGEqBGNDVR4PB42bNiAs2fPIi0tDS9fvgSfz0e3bt3Qq1cvNnipL9hAhSZ8I4QQokY0NlCR6969O7p3717X1ai1kmRaalEhhBCiPjTu57dMJsPx48dx48YNdtnDhw8xffp0DBo0CLNmzcL9+/frsIY1UzI8WeM+UkIIIWpMo+5qhYWFGD16NMLCwvD7778DAPLy8hAYGIiTJ0/CysoKN2/eREBAAJ4+fVrHta0ekaS466cBtagQQghRIxoVqGzduhW3b9/GypUrMW7cOADFDyfMzs7GN998g++++w4HDhyAtbU11q9fX7eVrSZKpiWEEKKONCpQSU1NRVBQEAYNGoQGDRoAAE6cOAFDQ0P4+/sDALhcLkaMGMG2uNQX8q4fLnX9EEIIUSMadVd7+PAhHBwc2Nf5+fm4desWnJ2doaNTkldsZWWFFy9e1EUVa6yk60ejPlJCCCFqTuPuajKZjP3/K1euQCqVolu3bgplXr9+DX19/Q9dtVoRiWXgANDR1riPlBBCiBrTqLta69atce3aNfb1r7/+Cg6Hgx49eiiUO336NFq1avWhq1crIokUPK52vZv/hRBCCKmIRs2j4uvri5iYGDRp0gQMwyA5ORkdO3aEQCBgy+zduxcHDx7E7Nmz67Cm1ScSy2j6fEIIIWpHowKVUaNG4caNG1i4cCEYhoGlpSWWL1/Orvf09MTTp0/RtWtXBAYG1mFNq08kltIcKoQQQtSORgUq2traWLp0KcLCwpCTkwMbGxtwuVx2vY+PD9q0aQNfX1+F5Nr6QCSR0dBkQgghaqd+3Y3fk6ZNm6Jp06ZKy8PDw+ugNu9HcYsKBSqEEELUi0b1FaxYsQIFBQXV2iYvL0+he+hjVdyiolEfJyGEEA2gUXc2sVgMHx8fbNy4sdIp8rOyshAbG4t+/fpBLBZ/oBrWHOWoEEIIUUca1fXz9ddfw9vbG0uWLEFMTAzs7e1hb28PKysr6Onp4c2bN8jKysKlS5dw584d2NraYtWqVXBzc6vrqleqSCxDQwNeXVeDEEIIea80KlABABcXF+zfvx+nTp3CoUOHkJKSgtzcXHa9qakpevbsif/7v/9Dr1696rCm1SN+N48KIYQQok40LlCR8/DwgIeHB4Dipyq/efMGxsbGCqOA6hORREZdP4QQQtQO3dkA6OrqwszMrEZBikwmQ2xsLNzd3eHg4ICgoCBkZGSUW14sFmP16tVwd3eHo6MjAgMDcfPmzdpUH8C7HBVqUSGEEKJmKFCppYSEBOzcuRNRUVH46aefoK2tjQkTJqCoqEhl+QULFmDPnj1YvHgxkpOT0bhxY0ycOBFv3rypVT2KxNSiQgghRP3Qna0WRCIRtmzZgtDQUPTu3Ru2traIjo7GixcvkJqaqlT+0aNH+PnnnxEVFYU+ffqgTZs2+Pbbb9GgQQNcvXq1xvWQMQwkUprwjRBCiPqhQKUWbt68iYKCAri6urLLDA0NYWdnh4sXLyqV/+OPP2BgYMDmxgAAn8/Hr7/+ip49e9a4HmJx8ROhaR4VQggh6obubLXw7NkzAIC5ubnCcjMzM5XztDx48ABWVlY4ffo0hg0bhh49emDSpEm4d+9erepRJJECAM1MSwghRO1o7KgfuWfPnuGvv/5CdnY2/Pz8kJ2dDYFAUKXEWqFQCADg8RTnL+HxeBCJRErl8/LykJmZiZiYGMyZMwdGRkb47rvvMGrUKBw5cgQmJibVqnuTJoYAACa3eLbdJsb6MDXlV2sf6kJTj1sVOhcl6FyUoHNB6iuNDlRWrVqFrVu3QiKRgMPhoEePHli5ciVyc3OxdetWNG7cuMLtdXV1ARTnqpQOVkQiEfT19ZXKc7lc5OXlYdWqVbCxsQEArFmzBr1790ZycjImT55crfrn5ORBJmPw9EU+AKCoUIznz99Wax/qwNSUr5HHrQqdixJ0LkrQuQC0tDjsjztSv2hs18+WLVuwZcsWTJs2DUeOHAHDMACAkJAQPH/+HGvXrq10H/IHG2ZnZyssz87OVuoOAgALCwtwOBy0a9eOXaarq4vmzZvj8ePHNT4WsYRyVAghhKgnjb2z7dy5E8HBwZg8eTJatmzJLu/WrRvCwsJw+vTpSvdha2sLQ0NDnD9/nl2Wl5eHGzduwMXFRam8s7MzGIbBtWvX2GWFhYV49OgRWrRoUeNjKRK/y1GhUT+EEELUjMZ2/WRlZaFz584q11lbWytMq18eHo+HwMBAREdHw8TEBFZWVli9ejXMzc3h4+MDqVSK3Nxc8Pl86OrqwtnZGd27d8fcuXOxaNEiGBsbIzY2FhwOB0OHDq3xsYjeJdM2oGRaQgghakZjW1QsLS1x6dIllev+/vtvWFpaVmk/YWFhGD58OCIiIjBy5EgwDIPNmzeDx+Ph6dOn6NmzJ1JSUtjy8fHxcHV1xbRp0+Dv7483b97ghx9+QJMmTWp8LKJ3w5O5NOEbIYQQNaOxLSrDhw9HTEwMdHV14eXlBQB4+/Ytjhw5gs2bN1c5sVVbWxuzZ8/G7NmzldZZWVnh9u3bCssMDAwQGRmJyMjI2h/EO/IWFcpRIYQQom40NlCZMGECMjMzERsbi9jYWADA+PHjAQBDhgzBpEmT6rJ61SJvUWlAOSqEEELUjMYGKhwOB5GRkRg3bhzS0tLw8uVL8Pl8uLi4KIzKqQ9ElExLCCFETWlsoBIfH49hw4bB2toa1tbWCusePXqELVu2vNfumf+SSD48mXJUCCGEqBmNClQePXrE/n9CQgLatm2LDh06KJU7duwYkpOT60+g8q5FhZJpCSGEqBuNClS+/fZbnDlzBgDAMAxmzpypshzDMHB3d/+QVasVkUQGno4WOBxOXVeFEEIIea80KlBZuHAhzp49C4ZhMG/ePAQHBytM9gYAWlpaaNiwIdzc3OqmkjUgEkspP4UQQoha0qhAxdzcHH5+fgCAJ0+eYNiwYbCwsKjjWtWeSCyjocmEEELUksbe3UJDQ9kghWEYyGQyyGQySCQSvH37FqdOnarjGladSCIFl2alJYQQooY0qkWltMePHyMiIgLnz5+HVCpVWebmzZsfuFY1IxLL0IASaQkhhKghjQ1Uli1bhvT0dAQEBODy5cvQ09ODo6Mj/vjjD/zzzz+Ij4+v6ypWmUhCOSqEEELUk8b+DL9w4QLCwsIwf/58+Pv7Q1dXF3PmzEFycjK6dOmC48eP13UVq4xyVAghhKgrjb275efnw9bWFgDQtm1bXL9+HQCgo6ODkSNH4ty5c3VZvWoRiaXgUY4KIYQQNaSxgYqZmRmys7MBAC1btsTr16/x/PlzAICRkRFyxpbaEQAAIABJREFUcnLqsnrVUiShFhVCCCHqSWPvbr1790ZsbCzOnz8Pc3NzWFpaYsuWLXj9+jWSk5Nhbm5e11WsMrGEWlQIIYSoJ40NVMLCwmBsbIy4uDgAwMyZM7Ft2za4uroiJSWFfZJyfUA5KoQQQtSVxo76MTY2xp49e9jun0GDBsHCwgLp6eno1KkTXFxc6riGVUcz0xJCCFFXGhuoyJmZmbH/7+zsDGdnZwDAyZMn4eXlVVfVqjIZw7DP+iGEEELUjcYFKv/88w8OHDgAoLgVRT7yRy4jIwNRUVH4448/6sWEb2KJDACoRYUQQoha0qhAJS0tDcHBwRCJRACArVu3YuvWrXB2doZYLEZ8fDwSExMhEong4+NTx7WtGjZQoRYVQgghakij7m7r16+HpaUlUlJS8Pvvv6Nr166Ijo5Gbm4uAgICsGHDBjRr1gzff/89YmNj67q6VSISF0//Ty0qhBBC1JFGBSq3bt3CxIkT0bp1a5iammL27Nn4+++/MX36dNy5cwfTp0/HwYMH0aNHj7quapUVsYGKRn2UhBBCNIRGdf3k5eWhRYsW7OvWrVtDIpHg/v372LNnj1K+Sn0gEsu7fqhFhRBCiPrRqJ/hUqkUOjolsRmPxwMAzJ49u14GKUDxAwkBalEhhBCinujuhuJn/dRXIgm1qBBCCFFfFKgA4HA4dV2FGpMn0zagZFpCCCFqSKNyVABgz549+P333wEADMOAw+Fg586dMDU1VSjH4XAQFhZWF1WsFjZHhbp+CCGEqCGNC1T27duntOznn39WWlZ/ApXiFhUuzaNCCCFEDWlUoHLr1q26rsJ7J6KZaQkhhKgx+hlez8lH/TSgZFpCCCFqiAKVek6eo8KlHBVCCCFqiO5u9ZxILIWOtha06vHIJUIIIaQ8FKjUkkwmQ2xsLNzd3eHg4ICgoCBkZGRUadtDhw7BxsamyuVVEYllaECtKYQQQtQU3eFqKSEhATt37kRUVBR++uknaGtrY8KECSgqKqpwu8zMTCxcuLDW7y+SSCmRlhBCiNqiQAXA06dPkZ6ejoKCAhQWFlZ5O5FIhC1btiA0NBS9e/eGra0toqOj8eLFC6Smppa7nUwmw5w5c9ChQ4da110kkYFHQ5MJIYSoKY2+w50+fRqffPIJPD09MWrUKNy/fx8zZsxAREQEZDJZpdvfvHkTBQUFcHV1ZZcZGhrCzs4OFy9eLHe77777DmKxGJMnT671MYjE1KJCCCFEfWlsoHLmzBl88cUXsLS0REREBBiGAQB069YNycnJ2Lx5c6X7ePbsGQDA3NxcYbmZmRmePn2qcpurV69iy5YtWLlyJbS1ax9giMRSalEhhBCitjRqwrfSYmNj0a9fP0RHR0MqlbL5IuPHj8erV6+wd+9eBAcHV7gPoVAIoOQpzHI8Hg8ikUipfEFBAWbPno3Zs2ejZcuWbKBTU02aGILhcGCgz4OpKb9W+6rvNP34S6NzUYLORQk6F6S+0thA5Z9//sG0adNUrnN1dcXWrVsr3Yeuri6A4lyV0sGKSCSCvr6+UvmoqCi0bNkSAQEBNat0GTk5ecgvEMPIkIfnz9++l33WR6amfI0+/tLoXJSgc1GCzgWgpcVBkyaGdV0NUgMaG6g0bNgQT548Ubnu8ePH4PMr//XRtGlTAEB2djYMDUv+ALKzs9G2bVul8snJyeDxeHBycgIASKXFs8oOGTIEn376KRYtWlTt46BRP4QQQtSZxgYqXl5eiIuLg0AgYAMHDoeDzMxMbNy4EZ6enpXuw9bWFoaGhjh//jxat24NAMjLy8ONGzcwatQopfLHjh1TeP33339jzpw5WL9+PQQCQY2Og3JUCCGEqDONDVRmzZqFq1evYsyYMTA2NgYAzJgxA1lZWWjevDn+7//+r9J98Hg8BAYGIjo6GiYmJrCyssLq1athbm4OHx8fSKVS5Obmgs/nQ1dXF9bW1grbZ2VlAQAsLS3RpEmTGh1HkVhGLSqEEELUlsYGKg0bNsRPP/2EAwcOIC0tDS9fvgSfz8fnn3+OoUOHQk9Pr0r7CQsLg1QqRUREBIRCIbp06YLNmzeDx+Ph8ePH8PLywtKlSzF06ND/5DjEEhl4NDMtIYQQNcVh5ONyNcxff/0FNze3uq5Grbx48RZBS3/FoO4t4derdV1Xp85QomAJOhcl6FyUoHNBybT1mcb+FB8/fjz69OmDNWvW4N69e3VdnRqRyhgwALWoEEIIUVsae4fbvn07evXqhd27d2PQoEHw9/fH9u3bkZubW9dVqzKRuHj23P9v797jYkz7P4B/psOIhpVEIWcVpeNUorRaYi2rYl9EzudUlrKsh2Q3i59DRaFY/aJY6/ws8Tg961kRm+Puaj1ZVNJJm5hOMzXX749+3ZptUtNWk5nv+/Xq9aprrvu+v/c1U/e367ru6+Zr0RwVQgghqkltExV7e3t89dVXuHbtGqKiotCrVy9s374dw4cPx6JFi/Cvf/1L2SHWS1xRdXsz9agQQghRVWo7mbaalpYW3Nzc4ObmBpFIhPDwcBw+fBhXr15FamqqssN7p4qK/+9Robt+CCGEqCi1T1QA4M6dOzh79izOnz+PgoICWFtbw9PTU9lh1UtcQUM/hBBCVJvaJiq///47zp49i7NnzyI7Oxvdu3fH5MmT4eHhgZ49eyo7vAaRVFYlKm1o6IcQQoiKUttExcPDAwKBAKNHj4aHhwfs7e2VHZLCxJKqOSratDItIYQQFaW2icq2bdswcuRItGnTRtmhNJqksmoJHJqjQgghRFWpVaKSmZmJrl27gs/nw9LSEnl5ee+sb2xs3EKRNY5EUn3XDyUqhBBCVJNaJSru7u5ISEiAra0tRo0aBR6P9876rf2uH8n/T6ZtQ0M/hBBCVJRaJSrffPMNevfuzX1fX6LS2lXf9aNNPSqEEEJUlFolKjVvOR4yZAgMDAygra1dq15paSkePnzYkqE1ioS7PZl6VAghhKgmtb3CffTRR/j111/lvnb37l3MnTu3hSNSnKSSVqYlhBCi2tSqRyUoKAjZ2dkAAMYYQkJCIBDUfppmeno6Onbs2NLhKUwiYdDS5EFTgxIVQgghqkmtrnBjx46FhoYGNDQ0wOPxuO9rfmlra8PW1hbbt29Xdrj1EldU0qq0hBBCVJpa9ahUP9On+vvQ0FCYm5srOarGk1RUQpuGfQghhKgwtUpUarpy5YqyQ/jbJBUMbahHhRBCiApTq0Rl2rRpCAkJwYABAzBt2rR31uXxeIiPj2+hyBpHUiGlibSEEEJUmlolKho1Jp1qqMAEVHFFJa1KSwghRKWpVaJy8OBBud+/ryQVUlpDhRBCiEpT+6tcSUkJ9/2FCxcQGxuLjIwMJUbUcOIKKfWoEEIIUWlqm6hkZGRgzJgxiI6OBgBERkYiICAAmzdvxoQJE3Dv3j0lR1i/ikrqUSGEEKLa1PYqt3XrVkgkEri6uqKyshLx8fEYPXo0bty4AaFQiPDwcGWHWC+xhOaoEEIIUW1qm6jcvHkTy5cvh62tLe7du4dXr15h6tSp0NPTw9SpU/HLL78oO8R6SWjohxBCiIpT20SlvLwcnTp1AgBcu3YNbdu2hZ2dHQBwK9e2dmKaTEsIIUTFqe1Vrm/fvkhOToZEIsG5c+fg5OQELa2qm6BOnz6NPn36KDnC+kkqKmkdFUIIISpNba9y8+fPx969ezFkyBBkZmZi9uzZAIBJkybh/PnzmDdvnpIjrB9joGf9EEIIUWlqtY5KTR9//DEMDAxw9+5dODo6wtLSEgBgb2+PpUuXwsXFRckRNgzNUSGEEKLK1DZRAQChUAihUAiRSIScnBx07NgRK1euVHZYCqGhH0IIIapMrROVmzdvYvPmzUhNTeXKBg0ahMDAQAwdOlSJkTUcTaYlhBCiytQ2UUlJScHcuXPRvXt3LFmyBJ07d0Zubi4SExOxYMECxMXFcXcBtWY0R4UQQogqU9tEJSIiAjY2NoiNjeXu9gEAPz8/zJ49G5GRkYiNjVVihA1Dc1QIIYSoMrUdN/jll18wY8YMmSQFADQ1NTF9+nQ8ePCgQfuRSqXYsWMHXFxcYGVlhTlz5iA9Pb3O+hkZGfD394eTkxMcHBwwb948pKWlNfo82tAcFUIIISpMba9yAoEAEolE7mtisbjB+4mKisLhw4cRGhqKI0eOQFNTE3PnzkV5eXmtuiKRCLNmzUJZWRn279+P+Ph46OrqYsaMGSgoKGjUeWjT0A8hhBAVpraJiq2tLWJiYiASiWTKRSIRYmJiIBQK692HWCzG/v374efnB1dXV5iZmSEsLAwvX77EuXPnatW/evUqcnNzsX37dgwcOBAmJibYsmULSktLcfny5UadB931QwghRJWp7RyVwMBAeHl54aOPPoKrqys6d+6Mly9f4urVq5BIJNi8eXO9+0hNTUVJSQmGDBnClQkEAgwaNAgpKSnw8PCQqV+dHLVv316mnDGGV69eNeo8aI4KIYQQVaa2iUqvXr1w5MgRREZGIikpCUVFRfjggw/g5OQEPz8/9O/fv9595ObmAgC6du0qU96lSxdkZ2fXqm9kZAQjIyOZsri4OJSXl8PV1bVR59GGbk8mhBCiwtQ2UQGA/v37Izw8vNHbl5aWAgD4fL5MOZ/Pb9A8l3PnziE8PByzZs2Cqalpo2LoZvQB2uloN2pbVWJg0L7+SmqC2uItaou3qC3I+0rtEpW0tDQkJCTgxYsX6NWrF6ZMmYJ+/fo1al86OjoAquaq1ExWxGIx2rVr985tDxw4gI0bN8LDwwNffPFFo44PAEWvSlCsqd69KgYG7ZGf/0bZYbQK1BZvUVu8RW0BaGjwoK8vUHYYpBHUKlG5ffs2Zs2ahcrKSujp6eHatWv47rvvsH37dowaNUrh/VUP4+Tl5UEgePsLkJeXV+fQkVQqxYYNGxAfH48FCxZg+fLl4PF4jTofTQ0etNQ8SSGEEKLa1Ooqt2vXLvTt2xcXL15EUlISkpKSIBQKGzRxVh4zMzMIBALcunWLKxOJRHj48CEcHBzkbhMSEoJDhw4hODgYgYGBjU5SAECb5qcQQghRcWp1pfv111/h6+uL7t27AwD09PSwYsUKZGVlIS8vT+H98fl8+Pj4ICwsDJcuXcLvv/+OZcuWoWvXrnB3d0dlZSXy8/NRVlYGALhw4QKOHDmCBQsWwN3dHfn5+dxXcXGxwsenNVQIIYSoOrVKVEQiEfT19WXKevfuDcYYCgsLG7XPgIAAfPbZZwgODoa3tzcYY9i3bx/4fD6ys7Ph7OyMxMREAMA///lPAMCePXvg7Ows8xUTE6PwsbW1Gt8bQwghhLwP1GqOSmVlJTQ0ZHOzNm3aAAAqKioatU9NTU0EBQUhKCio1ms9evTAo0ePuJ8jIyMbdYy60AMJCSGEqDq16lFRNTRHhRBCiKpTqx4VoOqOnMzMTO7nyspKAFWLt3Xo0EGmrrGxcYvGpihKVAghhKg6tUtUli1bJrd8yZIltcpSU1ObO5y/hSbTEkIIUXVqlahs3LhR2SE0KT6toUIIIUTFqVWi4unpqewQmpQ2PTmZEEKIiqMr3XuM5qgQQghRdXSle4/RHBVCCCGqjhKV9xifelQIIYSoOLrSvcdoZVpCCCGqjhKV9xgN/RBCCFF1anXXz1/l5uZi165dSEpKQl5eHg4fPowzZ87A3Nwc48aNU3Z49aJEhRBCiKpT2x6Vp0+fYsKECbhw4QKsrKwgkUgAAAUFBVixYgUuXLig5Ajrx6ehH0IIISpObXtUNm/eDCMjIxw8eBA6Ojo4e/YsAOB//ud/UFZWhn379sHd3V3JUb4b9agQQghRdWrbo3Lz5k3Mnz8fAoEAPJ5sz8SkSZPw+PFjJUXWcLSOCiGEEFWntlc6DQ2NWglKtdLSUmhotP6moUSFEEKIqlPbK529vT2io6Px5s0brozH46GyshIJCQkQCoVKjK5haB0VQgghqk5t56isWLECU6ZMgbu7OxwcHMDj8bB37148fvwYWVlZOHTokLJDrBef5qgQQghRcWr7L3m/fv1w/PhxDBs2DLdv34ampiaSk5PRt29fHDlyBGZmZsoOsV5adNcPIYQQFae2PSoA0LNnT2zdulXZYTQa3fVDCCFE1altovLixYt663Tr1q0FImk8mqNCCCFE1altouLm5lbnXT/VUlNTWyiaxuFrU6JCCCFEtaltovL111/XKisuLkZycjIePHiADRs2KCEqxWjweGBM2VEQQgghzYfHGF3q/io4OBhisRibNm1SdijvVFAgglRKb5+BQXvk57+pv6IaoLZ4i9riLWoLQEODB319gbLDII1AYwdyjBkzBleuXFF2GIQQQojao0RFjrS0NEilUmWHQQghhKg9tZ2jEhERUatMKpXixYsXOH/+PEaPHq2EqAghhBBSk9omKrt375ZbLhAI8PHHH2PVqlUtHBEhhBBC/kptE5UHDx6Az+crOwxCCCGEvIPazlH55JNPcO7cOWWHQQghhJB3UNtEpbCwEB06dFB2GIQQQgh5B7VNVDw9PbF79248ffpU2aEQQgghpA5qO0clLS0N9+7dw9ixY6GtrY1OnTrJvM7j8fDvf/+7QfuSSqWIjIzE0aNH8fr1a9jZ2WHdunXo1auX3PqFhYUIDQ3FTz/9BMYYxowZg1WrVkFXV/dvnxchhBCiStQ2UTEyMsL48eObZF9RUVE4fPgwNm3ahK5du2Lbtm2YO3cuzp49izZt2tSqHxAQgLKyMsTGxkIkEmH16tUIDg7Gtm3bmiQeQgghRFXQEvp/k1gshqOjI4KCgjBt2jQAgEgkgrOzM0JCQuDh4SFT/86dO/D29sbZs2fRv39/AMCNGzcwe/ZsXLlyRaEnNtMS+lVoefC3qC3eorZ4i9qCltB/n6nVHJWPPvoIv/32W5PuMzU1FSUlJRgyZAhXJhAIMGjQIKSkpNSqn5KSAn19fS5JAQA7OzvweDy59QkhhBB1plZDP1lZWSgvL2/Sfebm5gIAunbtKlPepUsXZGdn16qfl5cHQ0NDmTI+nw89PT3k5OQodGwNDZ6C0aouaou3qC3eorZ4S93bQt3P/32mVolKcygtLQWAWovH8fl8iMViufXlLTTH5/MVTqL09GjybTXq0n2L2uItaou3qC3I+0qthn6Aqrt5mpKOjg4A1EpKxGIx2rVrJ7e+vASmrvqEEEKIOlO7HhU/Pz9oa2vXW6+htycbGRkBqBrSEQje/seSl5cnMw+lmqGhIfLy8mTKxGIxCgsLaw0JEUIIIepO7RIVc3Nz6OvrN9n+zMzMIBAIcOvWLfTt2xdA1V0/Dx8+xNSpU2vVt7e3x9atW/HkyROufvUkWqFQ2GRxEUIIIapA7RKVRYsWwdbWtsn2x+fz4ePjg7CwMHTu3Bk9evTAtm3b0LVrV7i7u6OyshJ//vkn2rdvDx0dHVhZWcHW1haBgYFYv349ysrKEBwcjAkTJtSakEsIIYSoO7Wbo9IcAgIC8NlnnyE4OBje3t5gjGHfvn3g8/nIzs6Gs7MzEhMTAVQNKUVGRsLY2BgzZ86Ev78/hg4dipCQEOWeBCGEENIKqdWCb2ZmZjh06FCT9qgQQgghpPmoVY+Kp6cnOnfurOwwCCGEENJAatWjQgghhJD3i1r1qBBCCCHk/UKJSisklUqxY8cOuLi4wMrKCnPmzEF6enqd9QsLCxEYGAgHBwfY29tj7dq1KC4ubsGIm4+ibZGRkQF/f384OTnBwcEB8+bNQ1paWgtG3HwUbYuafvjhB5iamja4fmumaDtIJBJs27YNLi4usLa2ho+PD1JTU1sw4uajaFvk5eVh2bJlcHR0hKOjI5YuXarwozveB9HR0fD29n5nnfLycqxfvx5OTk6wsbFBQEAAXr582UIREkVQotIKRUVF4fDhwwgNDcWRI0egqamJuXPn1rnEfkBAADIyMhAbG4vIyEhcv34dwcHBLRx181CkLUQiEWbNmoWysjLs378f8fHx0NXVxYwZM1BQUKCE6JuWop+LallZWVi/fn0LRdn8FG2HkJAQHD16FF9//TWOHz+OTp06Yd68eXj9+nULR970GvO3Ijs7G/v370dsbCxycnKwePHiFo66eSUkJCAsLKzeeuvWrUNSUhJ27tyJuLg4PH/+HP7+/i0QIVEYI61KeXk5s7a2ZvHx8VzZmzdvmJWVFTt58mSt+rdv32YmJiYsLS2NK7t+/TozNTVlWVlZLRJzc1G0Lc6cOcMGDRrEXr9+LbMPKysrduTIkRaJubko2hbVKisrmbe3N5sxYwYzMTFhz549a4lwm42i7ZCRkcFMTEzYxYsXubLXr1+zESNGsJ9++qlFYm4uirZFQUEBMzExYZcvX+bKLl26xExMTNjLly9bJObmlJOTwxYuXMisra3ZmDFj2JQpU+qsm52dzczMzNiPP/7IlT179oyZmJiwn3/+uSXCJQqgHpVWJjU1FSUlJRgyZAhXJhAIMGjQIG4F25pSUlKgr68vs1y/nZ0deDye3PrvE0XbwtbWFjExMWjfvr1MOWMMr169avZ4m5OibVFtz549kEgkWLhwYUuE2ewUbYdr165BV1cXI0aM4Mrat2+PK1euwNnZuUVibi6KtkW7du3Qrl07nDp1CiKRCMXFxThz5gx69+6Njh07tmTozeK3336Drq4u/vnPf8LKyuqdde/cuQOpVAoHBweurFevXjA0NMTPP//c3KESBandyrStXW5uLgDUWqW2S5cuyM7OrlU/Ly+v1jOC+Hw+9PT03vuxZ0XbwsjIiHv2UrW4uDiUl5fD1dW1+QJtAYq2BQA8ePAA+/fvx7Fjx7jt33eKtsOzZ8/Qo0cP/Pjjj9i9ezeys7MxaNAgrFq1Cv369WuRmJuLom2ho6ODjRs3IiQkBEKhEDweD507d0Z8fDw0NTVbJObm5ObmBjc3twbVzc3NRceOHdG2bVuZ8nf9PhHloR6VVqa0tBRAVbJRE5/Pl/vU5dLS0lp1q+vXN3ehtVO0Lf7q3LlzCA8Px6xZs2BqatosMbYURduipKQEQUFBCAoKQu/evVsixBahaDuIRCJkZWUhPDwcAQEB2L17N7S1tTF16tT3fuKkom3BGMPDhw9hZWWFhIQExMXFwdjYGL6+vnjz5k2LxNxalJaWyn04bUP/tpCWRYlKK6OjowMAtX5ZxGIx2rVrJ7e+vF+suuq/TxRti5oOHDiA5cuX49NPP8UXX3zRbDG2FEXbIjQ0FL1798aUKVNaJL6Womg7aGtrQyQSYevWrRg+fDgsLS2xfft2AMDx48ebP+BmpGhbJCYmIiEhAVu3boWdnR0cHBy4Xqbvv/++RWJuLXR0dCCRSGqVq8LfTVVEQz+tTPXQRV5eHgQCAVeel5cnMw+lmqGhIfLy8mTKxGIxCgsLaw0JvW8UbQug6nbNDRs2ID4+HgsWLMDy5cvB4/FaJN7mpGhbHD9+HHw+HzY2NgCAyspKAMCECRPw6aef4quvvmqBqJteY34/eDweBgwYwJXp6OjA2NgYz58/b/6Am5GibXH79m306tVLZg7XBx98gD59+qjEbeuKMDQ0RFFREcrLy9GmTRuuXN5QOlE+6lFpZczMzCAQCHDr1i2uTCQS4eHDhzITv6rZ29sjPz8fT5484cqqJ9IJhcLmD7gZKdoWQNWtqIcOHUJwcDACAwNVIkkBFG+LCxcu4MyZMzh16hROnTqF0NBQAMDu3buxdOnSFou7qSnaDkKhEIwx/Prrr1xZWVkZMjMz0bNnzxaJubko2haGhobIyMjghoyAqiHC58+fq9TwYEPY2dkBgEzbpaenIycnB/b29soKi9RBM4Qe29uqaGpqoqSkBPv27UOfPn0gFouxbt06VFZWYu3atQCAgoICaGpqQktLC127dsX169eRmJiIQYMGIT09HWvWrIGbmxs8PDyUfDZ/j6JtceHCBWzZsgULFy6Ep6cnSkpKuC+g9lj++0TRtujYsaPM16tXr3Dy5En4+vrWmnD8PlG0Hbp164Y7d+7g1KlTMDU1RWlpKUJDQ/HixQuEhoa+1938iraFsbExvvvuO9y/fx/9+/fHy5cvsX79ehQUFCA0NJQbSlIFly5dQlFRESZNmsSV5efnA6j6OyAQCPD06VMcPnwYpqamKCwsxJdffonevXvD19dXWWGTuij59mgiR0VFBduyZQtzcnJi1tbWbO7cuSwjI4MxxlhmZiYzMTFhx48f5+q/fPmS+fv7M2tra+bg4MDWrl3LSktLlRV+k1KkLZYsWcJMTEzkfm3fvl2Zp9EkFP1c1JScnKwS66gwpng7iEQiFhISwhwdHZmlpSWbOXMme/TokbLCb1KKtsXjx4/ZwoULmaOjI3N0dGS+vr5cfVWycuXKWuuomJiYsB07dnA/FxcXs3/84x9MKBQyOzs79vnnn7OCgoKWDpU0AD2UkBBCCCGtFs1RIYQQQkirRYkKIYQQQlotSlQIIYQQ0mpRokIIIYSQVosSFUIIIYS0WpSoENKKqNpNeKp2PuqE3jvSWlCiQprUqlWrYGpqWufX4cOHG7yvEydOwNTUtEWW95YXq5WVFcaPH4+YmBhIpdImPd5fzy0nJweLFi1CZmamTExhYWFNelx56nrPbGxs8MknnyAyMpJbgl8Ru3fvRkxMTJPF+euvv2LkyJEyK6tWS01NhYWFRZN/Vh4/fozAwEA4OzvDwsICw4YNg7+/P+7evdukx1HEzp07YWpqioqKCgBVq9H6+/vD2toatra2uHHjhsKfHTc3NwQFBXE/Hz16FN98802Dty8rK4O7uzvu37/f8BMhpIHoWT+kyXXq1Ak7d+6U+1qvXr1aOJqG8/DwwGeffcb9XFpaiosXL2Lbtm148+YNAgMDm+xYrq6uSEhI4J4rcv36dfz73//Gl19+ydVJSEhAt27dmuyY7yLvPXv16hUSExOxc+cXlDpxAAASsElEQVROlJeXK3z+4eHhWLRoUZPEV15ejpUrV2LZsmVo27atzGv//e9/MX/+fLkPmfs70tLSMHnyZAwaNAhffPEFDAwMkJ+fjyNHjmDatGmIiorCiBEjmvSYDTFx4kQ4OTlBS6vqz/fJkydx4cIFrFy5EgMHDsTgwYMV/uxERETIPC9o9+7dsLW1bfD2Ojo6CAwMxBdffIHTp0+r1Cq3RPkoUSFNTltb+718zpChoWGtuF1cXJCeno6EhAQEBATIfTR8Y+jr60NfX/+ddVqyDet6z0aOHImsrCwcO3asSRM1RR0+fBgVFRUYO3YsVyYWi3Ho0CGEh4fLPFiuqcTGxkIgEGD//v0yj18YM2YMvLy8sH37dqUkKt26dZNJQoqKigAA06dP5z6fin52Bg8e/LfjGj16NHbu3ImDBw9i/vz5f3t/hFSjoR+iFJWVlYiJicG4ceNgaWkJa2trTJkyBTdu3Khzm/LycoSGhuLDDz+EhYUFRo0ahR07dnBd4EDVxWvr1q1cnU8++QQnT578W7FaWFiguLiYuyCUl5dj165dGDNmDAYPHoxRo0YhOjpaZngkMzMTfn5+GDJkCCwtLeHp6YkzZ85wr9cc+tm5cyfXk+Lu7s71bFR335eXl0MoFGLDhg21Yhs1apRMl/3x48cxfvx4WFhYYPjw4di2bRvEYvHfOv+a/2lXO3r0KLy8vGBtbQ1LS0tMmDABiYmJAIDnz5/D1NQUALBnzx64ublx2925cwfTp0+HtbU17O3tERgYiNzc3HceXywW49tvv8X48eNlHjL5n//8Bzt27MCiRYtk2qCpFBQUyH2oJZ/Px4oVK2R631atWgVvb2+cOHECI0aMgLW1NWbMmIGHDx/KbFtUVIR169Zh2LBhGDx4MLy8vHD16lWZOowxHDx4EJ988gksLS3x0UcfISoqivt81Rz6mT59Ovd5sbCwwPTp0wHUHjZ8+fIlvvzySwwdOhQ2NjaYMmUKkpOTuddrDv2YmpoiKysLP/zwA0xNTZGWlgZTU1MkJCTIxPn69WtYWlriwIEDXNn48eMRFxeH8vLyhjc0IfWgRIU0i4qKilpfNed5bNu2DZGRkZg4cSKio6MREhKCwsJCBAQEoLi4WO4+Q0NDceHCBSxduhR79+7Fp59+il27dmHv3r1cHX9/f8THx8Pb2xtRUVEQCoVYtWpVrT+yinj69Cl0dXWhr68PxhgWLVqEmJgYeHh4IDIyEu7u7oiIiMCaNWsAAFKpFAsWLOAe9hYVFYWePXsiMDCQe7J1TRMnTuSGSMLCwjBx4kSZ19u0aYMxY8bg3LlzMm147949ZGRkYMKECQCAffv2YfXq1bCxsUFUVBSmT5+OAwcOYMWKFQ06z5rvlVgsRk5ODmJiYpCUlCTzgMuEhASsXbsWrq6u2LVrFzZt2gQtLS0EBQUhKysLXbp04drbw8MDERERAIDbt29jxowZAIAtW7Zg9erVuHv3Lnx8fCASieqMKzk5GXl5efj4449lygcPHowrV65g0aJF0NTUbNA5KsLNzQ05OTmYPHkyEhIS8Mcff3Cvubq6cudSLS0tDVu2bMHixYuxadMmFBYWYvr06cjJyQFQlXDNmjUL58+fx+LFixEREQFjY2MsWrQIV65c4fYTFhaGDRs2wMnJCTt37sTkyZOxe/duuXNO1qxZAy8vLwDAwYMHuc9gTaWlpZg6dSp++ukn+Pv7IyIiAh07dsT8+fORmppaq35CQgIMDAzg7OyMhIQEDBgwANbW1jh16pRMvTNnzkAqlWL8+PFc2ZgxY5Cfn//OfzgIURQN/ZAml5ubC3Nz81rl8+fP5/5ry87ORkBAAGbPns293rZtWwQEBCA1NVVu13VKSgpcXV3h6ekJAHBycoJAIICenh6AqnkeP/74IzZv3sxdWF1dXSGVShEeHo6JEyfWO3Ze3TvDGMPLly/xww8/4MqVK1iwYAF4PB6uXr2K69ev1zpG27ZtsXPnTsycOROdO3fGkydPsHXrVowcORIAMGTIEHTt2lXuf+jdunXj5u6Ym5vLnVvg4eGBo0eP4ubNm3BycgJQdaEwMDDA0KFDIRKJEBkZCS8vL3z11VdcXIaGhggKCsLdu3dhY2NT53nX9Z51794dS5cuxbx587iy9PR0zJgxA0uXLuXKevbsiYkTJyIlJQUTJkzg3j9DQ0NuWGHr1q3o3r07vv32W24oRSgU4uOPP0ZCQgIWLlwoN7bk5GTo6uqib9++MuVdu3at83yawuTJk5Gfn499+/ZxbaqnpwcnJydMnjwZQ4YMkan/5s0bHDhwAI6OjgAAGxsbjBo1Cv/7v/+LVatW4fTp03j48CEOHjwIBwcHAFXJ0Ny5c7F582a4ubnhzZs32L9/P6ZMmcIlHa6uriguLkZycnKtSd2mpqbc58XW1pabt1LTyZMnkZ6eju+//x5WVlYAqn53vLy8kJSUhIEDB8rUFwqF4PP50NPT497HSZMmYc2aNXjy5An3Ppw4cQJubm7c7x9QNQftgw8+QHJyMj788EPFG50QOShRIU1OX18f0dHRtcq7dOnCfV/93+GrV6/w7NkzPHv2DJcvXwaAOidFDhs2DAcPHkReXh5cXV3h4uIik+hU/xfn5uYmMxw0cuRIfP/993jw4AF3gZBnz5492LNnj0yZjo4OvL294efnBwC4desWNDQ0ZOZKAFWJxM6dO3Hr1i1Mnz4dpqamWLt2La5fvw4XFxc4OTlh9erVdR67PnZ2djA2NsaZM2fg5OSEyspKJCYmYsKECdDU1MTdu3dRWlqKkSNHypz7iBEjoKGhgaSkpHcmKjXfM5FIhH379uGXX35BcHBwrQtO9XmIRCI8ffoU6enpXNvXNcxUVlaGe/fuYebMmdDQ0OBiNDIygrm5Oa5du1ZnovL8+XN0795dbpKnKIlEInOx5/F4MvNP/srPzw+zZs1CUlISkpOTcevWLSQmJiIxMRFz5szBypUrubpGRkZckgJUJVI2Nja4desWgKrPp56eHmxtbWt9PkNCQpCVlYUnT55AIpFg9OjRMnEsW7as0eeckpICIyMjLkkBquYk/fDDDw3ex9ixY/HNN9/g9OnTWLZsGdLS0vDLL7/A39+/Vt1u3brh+fPnjY6XkL+iRIU0OS0trXon5/3222/4+uuvcffuXejo6MDExARGRkYA6l6/YeXKlejWrRtOnz6Nr776CowxDBw4EGvWrIFQKERhYSEAwN7eXu729c2FmDhxIry9vQFUXcB0dXXRo0cPmQm0RUVF6NChQ62Lm4GBAYCqcXsej4fY2FhER0fj4sWLOHHiBDQ1NeHi4oL169dzd/oogsfjYcKECThw4ADWrVuHmzdvoqCggOvVqT53X1/fRp37X98zoVCIGTNmwM/PD3FxcbCzs+Ney8zMREhICJKSkqClpYV+/fpxc1LqUlRUBKlUitjYWMTGxtZ6vXfv3nVuKxKJat3p01hr166VmbPUvXt3mWEXeQQCAUaPHs0lD0+ePMGaNWuwf/9+eHp6wsTEBID8Hh59fX1kZWUBqHqPCgsL5fZcAVXvUfX72LlzZ8VPrg6FhYX1Ttyuj66uLsaOHYvTp0/j888/x4kTJ9ClSxc4OzvXqtu2bVu8efPmbx2PkJooUSEtTiQSYc6cOTA1NUViYiL69OkDDQ0NXL16Ff/617/q3E5bWxtz5szBnDlzUFBQgKtXr2LXrl3w9fXFtWvX0L59e+jo6CA+Pl7u9j169HhnXAYGBvUmWB988AFev34NsVgsk6zk5eUBANcNrq+vj9WrV2P16tV48uQJLl26hF27dmHdunVye5saonpOTFJSEs6fPw8zMzMuQejQoQMAYPPmzejXr1+tbWt2zzeEtrY2Nm3ahPHjx2PlypU4e/Ys2rRpA6lUivnz50NbWxvHjh2DmZkZtLS08PjxY5w+fbrO/QkEAvB4PEyfPh2ffvpprdff1auhp6eHFy9eKBR/Xfz8/DBt2rR6j5uTkwNPT89a9QGgb9++WL16NSZOnIjHjx9ziUp1klFTfn4+lyS0b98exsbGda5v0qdPH7x+/RoA8Oeff8q8lpeXhz/++OOdvWJ1ad++vdz1ZR48eAA+nw8zM7MG7WfSpEk4duwYbt++jXPnzsHT01Pu3KCioiKuTQhpCjSZlrS4J0+e4NWrV5g2bRr69esHDY2qj2H13Q/yFlcrKyvD6NGjsW/fPgBViYCXlxe8vb1RVFQEkUgER0dHlJWVQSKRYPDgwdxXeno6wsPD5S4UpigHBwdIpVLuDpdq1RdpOzs73L17F0OHDsWDBw8AVF3YFixYAEdHR+6/67+qboN3MTY2hq2tLc6fP4/Lly/LTHC1srICn89HTk6OzLkLBAJs3rxZZiJoQ/Xq1QsLFixAZmYmt3BbYWEhnj59Ck9PT1hYWHBzIuS9dzXPSVdXF+bm5vjjjz9k4jM1NUVUVFStO19q6t69O3Jzc5tk0b0ePXrUOr48BgYG0NHRwaFDh+RO7n78+DEAyFyQMzIy8Pvvv3M/5+bm4t69e9xcFkdHR+Tk5KBjx44yMaSkpCAqKgoaGhqwtLSEtrY2Ll68KHO8hIQELF68uFGrxQqFQmRlZeG3337jyiQSCZYtW4a4uDi528j7PNrY2GDAgAGIiIhAdnY2N1esJsYYcnNzW2z9H6IeqEeFtLi+ffuiffv2iI6OhqamJrS1tXH+/HnurgJ5CYWOjg7Mzc25P+gDBw7E8+fPERsbiyFDhqBTp04YPnw4HBwc4Ofnh4ULF2LAgAF4+PAhIiMjYWNj0yR/PIcPHw5HR0eEhIQgNzcXAwcOxM8//4xvv/0W48aNg5mZGcrLy9G2bVsEBQXB19cXXbp0wf3793Ht2rU6h2aqe0QuXrwId3d39OzZU249Dw8PrF+/HgAwbtw4rlxPTw/z589HZGQkXr9+DScnJxQUFCAyMhJlZWWwsLBo1PnOnz8fp06dwt69e+Hh4QFjY2N0794dhw4dgqGhITp06IBr165xvVg137sOHTrg/v37SElJgVAoRGBgIObNm4eAgACuV+XgwYNISUnBrFmz6ozB2dkZ0dHR+P333zFo0KBGnYeiNDU1ERISgiVLlsDLywtTp07FgAEDIJFIcPPmTSQkJMDb2xv9+/fntuHxePD19cXnn38OLS0tREVFoUOHDpg5cyYAwNPTEwkJCZg9ezYWLFiAHj164ObNm9i7dy88PT3Rrl07tGvXDjNmzEBsbCy0tbUxdOhQpKam4ttvv8XChQsbNQTm5eWFgwcPwtfXF/7+/jAwMMB3332HP//8E3PmzJG7TYcOHfDo0SPcuHEDjo6OXOIyadIkbNy4EXZ2dujTp0+t7R49egSRSAQXFxeF4ySkToyQJrRy5Urm4uJSb73k5GTm5eXFLC0tmZOTE5szZw5LSUlhtra27JtvvmGMMXb8+HFmYmLCnj17xhhjrLi4mG3cuJGNGDGCmZubs2HDhrHg4GD26tUrbr8lJSVs06ZNzNXVlZmbm7MRI0awTZs2MZFI9M54TExM2Pbt2xt0jtXHGD58ODM3N2fu7u4sOjqaVVRUcHXS09NZQEAAGzp0KFcnJiaGSaVSuedWUlLC5syZw8zNzVlwcHCdMb1+/ZoNHjyYzZs3T25shw8fZuPGjWPm5ubMycmJff755yw9Pf2d51Pfe3b58mVmYmLCFi9ezBhjLDU1lfn4+DBra2vm4ODApk6dyn788Uc2duxYtmTJEm67AwcOMFtbW2Zvb8/Ky8sZY1Xvu4+PD7OysmJ2dnbMx8eHXb9+/Z3xVVRUsGHDhrGoqKg66/y1PZtKamoqW758Ofvwww+ZhYUFs7a2ZpMnT2bHjh3j3kvG3rbhsWPHmLOzM7OxsWG+vr4sIyNDZn8FBQVszZo1bOjQoczCwoK5u7uzXbt2MYlEwtWRSqVs//79bNSoUdxnJzY2ljvejh07mImJCbfNX39mrPZnJycnhwUGBjIHBwdmbW3NfHx82P3797nXR4wYwQIDA7mfz58/zxwdHZm1tTXLzMzkyp89e8ZMTEzYsWPH5LZXdHQ0c3JykomFkL+Lxxg9eYoQ0rrFxcUhLi4Oly5datAwWUtbtWoVrl+/jv/85z/KDqVZHThwABEREfjpp5/Qrl07mdekUilGjRoFHx8fmbvxCPm7Wt9vPCGE/MWUKVOgpaWl0C21pOmcOnUKW7ZsQVhYGHx8fGolKQC4eVvVd84R0lQoUSGEtHpt2rTBli1bEBER0SSTooliHj16hPj4eAwfPlzuPKuysjKEhYVhy5Yt9EBC0uRo6IcQQgghrRb1qBBCCCGk1aJEhRBCCCGtFiUqhBBCCGm1KFEhhBBCSKtFiQohhBBCWi1KVAghhBDSav0fod4q7n3PbggAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x1440 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -9089,99 +10176,135 @@
     }
    ],
    "source": [
-    "# run_model(self, df, varlist, response, standardize, sampletype, modelname, text, n_fold)\n",
-    "results = modelpipeline.run_model(df, varlist2, 'Class', True, 'smote', 'SVM_Linear0.5', 'Linear SVM with C=0.5, smote sampling and remove V24', 5)"
+    "# self, df, varlist, response, standardize, sampletype, modelname, text, n_fold\n",
+    "results = modelpipeline.run_model(df, varlist, 'Class', True, 'naive', 'XGBoostplus3', 'XGBoost with naive sampling and +3 depth', 5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': [0.9807763206404382,\n",
-       "  0.9761942381629536,\n",
-       "  0.9809869910991731,\n",
-       "  0.9795649655027124,\n",
-       "  0.9779857100222952],\n",
-       " 'actual_accuracy': [0.9085365853658537,\n",
-       "  0.9146341463414634,\n",
-       "  0.9146341463414634,\n",
-       "  0.9105691056910569,\n",
-       "  0.9166666666666666],\n",
-       " 'sensitivity': [0.9285714285714286,\n",
-       "  0.8979591836734694,\n",
-       "  0.8979591836734694,\n",
-       "  0.9183673469387755,\n",
-       "  0.88],\n",
-       " 'specificity': [0.9808662926683432,\n",
-       "  0.9763290716282996,\n",
-       "  0.981130084589276,\n",
-       "  0.9796704359601147,\n",
-       "  0.9781580289467668],\n",
-       " 'precision': [0.07718405428329092,\n",
-       "  0.061366806136680614,\n",
-       "  0.07579672695951765,\n",
-       "  0.07223113964686999,\n",
-       "  0.06616541353383458],\n",
-       " 'f1': [0.14252153484729835,\n",
-       "  0.11488250652741513,\n",
-       "  0.1397934868943606,\n",
-       "  0.13392857142857142,\n",
-       "  0.12307692307692307],\n",
-       " 'auc': [0.954718860619886,\n",
-       "  0.9371441276508846,\n",
-       "  0.9395446341313727,\n",
-       "  0.9490188914494451,\n",
-       "  0.9290790144733834],\n",
-       " 'final': {'accuracy': 0.9791016450855144,\n",
-       "  'sensitivity': 0.9045714285714286,\n",
-       "  'specificity': 0.9792307827585601,\n",
-       "  'precision': 0.07054882811203875,\n",
-       "  'f1': 0.13084060455491373,\n",
-       "  'auc': 0.9419011056649944,\n",
-       "  'actual_accuracy': 0.9130081300813009},\n",
-       " 'model': LinearSVC(C=0.5, class_weight=None, dual=True, fit_intercept=True,\n",
-       "           intercept_scaling=1, loss='squared_hinge', max_iter=1000,\n",
-       "           multi_class='ovr', penalty='l2', random_state=42, tol=0.0001,\n",
-       "           verbose=0)}"
+       "{'accuracy': 0.9995154616432833,\n",
+       " 'sensitivity': 0.8190612244897959,\n",
+       " 'specificity': 0.9998276559449906,\n",
+       " 'precision': 0.8919096323768999,\n",
+       " 'f1': 0.8536465620211311,\n",
+       " 'auc': 0.9793611655942118,\n",
+       " 'pr_auc': 0.848661493811453,\n",
+       " 'actual_accuracy': 0.9638211382113822}"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "results"
+    "results['final']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'accuracy': 0.9791016450855144,\n",
-       " 'sensitivity': 0.9045714285714286,\n",
-       " 'specificity': 0.9792307827585601,\n",
-       " 'precision': 0.07054882811203875,\n",
-       " 'f1': 0.13084060455491373,\n",
-       " 'auc': 0.9419011056649944,\n",
-       " 'actual_accuracy': 0.9130081300813009}"
+       "{'accuracy': [0.9994733238531627,\n",
+       "  0.9996313266972139,\n",
+       "  0.9995435473394076,\n",
+       "  0.9994557679816014,\n",
+       "  0.9994733423450309],\n",
+       " 'actual_accuracy': [0.9613821138211383,\n",
+       "  0.9735772357723578,\n",
+       "  0.9634146341463414,\n",
+       "  0.9552845528455285,\n",
+       "  0.9654471544715447],\n",
+       " 'sensitivity': [0.8061224489795918,\n",
+       "  0.8673469387755102,\n",
+       "  0.8163265306122449,\n",
+       "  0.7755102040816326,\n",
+       "  0.83],\n",
+       " 'specificity': [0.999806552591316,\n",
+       "  0.9998593109755025,\n",
+       "  0.9998593109755025,\n",
+       "  0.9998417248474404,\n",
+       "  0.9997713803351916],\n",
+       " 'precision': [0.8777777777777778,\n",
+       "  0.9139784946236559,\n",
+       "  0.9090909090909091,\n",
+       "  0.8941176470588236,\n",
+       "  0.8645833333333334],\n",
+       " 'f1': [0.8404255319148936,\n",
+       "  0.8900523560209423,\n",
+       "  0.8602150537634408,\n",
+       "  0.8306010928961749,\n",
+       "  0.8469387755102041],\n",
+       " 'auc': [0.9874108446114848,\n",
+       "  0.977266609649329,\n",
+       "  0.9696781953904963,\n",
+       "  0.9859614246486453,\n",
+       "  0.9764887536711042],\n",
+       " 'pr_auc': [0.8470947594021584,\n",
+       "  0.8763723189943862,\n",
+       "  0.8228349395015407,\n",
+       "  0.8314946836031577,\n",
+       "  0.8655107675560216],\n",
+       " 'final': {'accuracy': 0.9995154616432833,\n",
+       "  'sensitivity': 0.8190612244897959,\n",
+       "  'specificity': 0.9998276559449906,\n",
+       "  'precision': 0.8919096323768999,\n",
+       "  'f1': 0.8536465620211311,\n",
+       "  'auc': 0.9793611655942118,\n",
+       "  'pr_auc': 0.848661493811453,\n",
+       "  'actual_accuracy': 0.9638211382113822},\n",
+       " 'model': XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
+       "               colsample_bynode=1, colsample_bytree=1, gamma=0,\n",
+       "               learning_rate=0.1, max_delta_step=0, max_depth=9,\n",
+       "               min_child_weight=1, missing=None, n_estimators=100, n_jobs=1,\n",
+       "               nthread=1, objective='binary:logistic', random_state=42,\n",
+       "               reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=42,\n",
+       "               silent=None, subsample=1, verbosity=1)}"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "results['final']"
+    "results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Results:\n",
+    "## XGBoost\n",
+    "\n",
+    "Sampling types:\n",
+    "naive,naive,naive,smote\n",
+    "\n",
+    "Depth:\n",
+    "sqrt(num of features), sqrt(num of features) - 1, sqrt(num of features) + 1, sqrt(num of features)\n",
+    "\n",
+    "sensitivity: 0.8293, 0.8414, 0.8272, 0.8699\n",
+    "precision: 0.7976, 0.6416, 0.8778, 0.2769\n",
+    "f1: 0.8129, 0.7275, 0.8514, 0.4154\n",
+    "auc: 0.9145, 0.9203, 0.9135, 0.9328\n",
+    "\n",
+    "## Sensitivity increases when the tree depth is not too deep and SMOTE sampling is used\n",
+    "## f1 and precision is best when tree depth is deeper and naive sampling is used\n",
+    "Likely that there's a tradeoff between overfitting a bit more and getting more True Positive & more False Positive\n",
+    "### SMOTE sampling is also more aggressive and allows model to find more fraud cases, but at the expense of precision\n",
+    "### If we use AUC which is a fairer metric, looks like SMOTE + depth = sqrt(num of features) gives good balance between high sensitivty (important in fraud) but not toopoor precision\n",
+    "### However if precision is key here, using a tree with greater depth and naive sampling is better (Case 3 has high precision of 0.8778)\n"
    ]
   },
   {