diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb
index 28d4df017..d8e419587 100644
--- a/02_activities/assignments/assignment_1.ipynb
+++ b/02_activities/assignments/assignment_1.ipynb
@@ -34,10 +34,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "4a3485d6-ba58-4660-a983-5680821c5719",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Matplotlib is building the font cache; this may take a moment.\n"
+     ]
+    }
+   ],
    "source": [
     "# Import standard libraries\n",
     "import pandas as pd\n",
@@ -56,10 +64,288 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19",
    "metadata": {},
-   "outputs": [],
+   "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>alcohol</th>\n",
+       "      <th>malic_acid</th>\n",
+       "      <th>ash</th>\n",
+       "      <th>alcalinity_of_ash</th>\n",
+       "      <th>magnesium</th>\n",
+       "      <th>total_phenols</th>\n",
+       "      <th>flavanoids</th>\n",
+       "      <th>nonflavanoid_phenols</th>\n",
+       "      <th>proanthocyanins</th>\n",
+       "      <th>color_intensity</th>\n",
+       "      <th>hue</th>\n",
+       "      <th>od280/od315_of_diluted_wines</th>\n",
+       "      <th>proline</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>14.23</td>\n",
+       "      <td>1.71</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>15.6</td>\n",
+       "      <td>127.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.06</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>2.29</td>\n",
+       "      <td>5.64</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>3.92</td>\n",
+       "      <td>1065.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>13.20</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>2.14</td>\n",
+       "      <td>11.2</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>2.65</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>0.26</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>4.38</td>\n",
+       "      <td>1.05</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>1050.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>13.16</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>3.24</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>5.68</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>1185.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>14.37</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>2.50</td>\n",
+       "      <td>16.8</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>3.49</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>7.80</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>3.45</td>\n",
+       "      <td>1480.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>13.24</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.87</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>2.80</td>\n",
+       "      <td>2.69</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>4.32</td>\n",
+       "      <td>1.04</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>735.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>173</th>\n",
+       "      <td>13.71</td>\n",
+       "      <td>5.65</td>\n",
+       "      <td>2.45</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>0.52</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>7.70</td>\n",
+       "      <td>0.64</td>\n",
+       "      <td>1.74</td>\n",
+       "      <td>740.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>174</th>\n",
+       "      <td>13.40</td>\n",
+       "      <td>3.91</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>7.30</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>750.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>13.27</td>\n",
+       "      <td>4.28</td>\n",
+       "      <td>2.26</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>0.69</td>\n",
+       "      <td>0.43</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>10.20</td>\n",
+       "      <td>0.59</td>\n",
+       "      <td>1.56</td>\n",
+       "      <td>835.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>13.17</td>\n",
+       "      <td>2.59</td>\n",
+       "      <td>2.37</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>0.53</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>9.30</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>840.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>177</th>\n",
+       "      <td>14.13</td>\n",
+       "      <td>4.10</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.35</td>\n",
+       "      <td>9.20</td>\n",
+       "      <td>0.61</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>560.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>178 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     alcohol  malic_acid   ash  alcalinity_of_ash  magnesium  total_phenols  \\\n",
+       "0      14.23        1.71  2.43               15.6      127.0           2.80   \n",
+       "1      13.20        1.78  2.14               11.2      100.0           2.65   \n",
+       "2      13.16        2.36  2.67               18.6      101.0           2.80   \n",
+       "3      14.37        1.95  2.50               16.8      113.0           3.85   \n",
+       "4      13.24        2.59  2.87               21.0      118.0           2.80   \n",
+       "..       ...         ...   ...                ...        ...            ...   \n",
+       "173    13.71        5.65  2.45               20.5       95.0           1.68   \n",
+       "174    13.40        3.91  2.48               23.0      102.0           1.80   \n",
+       "175    13.27        4.28  2.26               20.0      120.0           1.59   \n",
+       "176    13.17        2.59  2.37               20.0      120.0           1.65   \n",
+       "177    14.13        4.10  2.74               24.5       96.0           2.05   \n",
+       "\n",
+       "     flavanoids  nonflavanoid_phenols  proanthocyanins  color_intensity   hue  \\\n",
+       "0          3.06                  0.28             2.29             5.64  1.04   \n",
+       "1          2.76                  0.26             1.28             4.38  1.05   \n",
+       "2          3.24                  0.30             2.81             5.68  1.03   \n",
+       "3          3.49                  0.24             2.18             7.80  0.86   \n",
+       "4          2.69                  0.39             1.82             4.32  1.04   \n",
+       "..          ...                   ...              ...              ...   ...   \n",
+       "173        0.61                  0.52             1.06             7.70  0.64   \n",
+       "174        0.75                  0.43             1.41             7.30  0.70   \n",
+       "175        0.69                  0.43             1.35            10.20  0.59   \n",
+       "176        0.68                  0.53             1.46             9.30  0.60   \n",
+       "177        0.76                  0.56             1.35             9.20  0.61   \n",
+       "\n",
+       "     od280/od315_of_diluted_wines  proline  class  \n",
+       "0                            3.92   1065.0      0  \n",
+       "1                            3.40   1050.0      0  \n",
+       "2                            3.17   1185.0      0  \n",
+       "3                            3.45   1480.0      0  \n",
+       "4                            2.93    735.0      0  \n",
+       "..                            ...      ...    ...  \n",
+       "173                          1.74    740.0      2  \n",
+       "174                          1.56    750.0      2  \n",
+       "175                          1.56    835.0      2  \n",
+       "176                          1.62    840.0      2  \n",
+       "177                          1.60    560.0      2  \n",
+       "\n",
+       "[178 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from sklearn.datasets import load_wine\n",
     "\n",
@@ -96,7 +382,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your answer here"
+    "# 178 rows × 14 columns"
    ]
   },
   {
@@ -109,12 +395,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "df0ef103",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "14"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your answer here"
+    "14 "
    ]
   },
   {
@@ -127,12 +424,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "47989426",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 178 entries, 0 to 177\n",
+      "Data columns (total 14 columns):\n",
+      " #   Column                        Non-Null Count  Dtype  \n",
+      "---  ------                        --------------  -----  \n",
+      " 0   alcohol                       178 non-null    float64\n",
+      " 1   malic_acid                    178 non-null    float64\n",
+      " 2   ash                           178 non-null    float64\n",
+      " 3   alcalinity_of_ash             178 non-null    float64\n",
+      " 4   magnesium                     178 non-null    float64\n",
+      " 5   total_phenols                 178 non-null    float64\n",
+      " 6   flavanoids                    178 non-null    float64\n",
+      " 7   nonflavanoid_phenols          178 non-null    float64\n",
+      " 8   proanthocyanins               178 non-null    float64\n",
+      " 9   color_intensity               178 non-null    float64\n",
+      " 10  hue                           178 non-null    float64\n",
+      " 11  od280/od315_of_diluted_wines  178 non-null    float64\n",
+      " 12  proline                       178 non-null    float64\n",
+      " 13  class                         178 non-null    int64  \n",
+      "dtypes: float64(13), int64(1)\n",
+      "memory usage: 19.6 KB\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your answer here"
+    "wine_df.info()"
    ]
   },
   {
@@ -146,12 +471,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "bd7b0910",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "178"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your answer here"
+    "178 "
    ]
   },
   {
@@ -175,10 +511,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "cc899b59",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "    alcohol  malic_acid       ash  alcalinity_of_ash  magnesium  \\\n",
+      "0  1.518613   -0.562250  0.232053          -1.169593   1.913905   \n",
+      "1  0.246290   -0.499413 -0.827996          -2.490847   0.018145   \n",
+      "2  0.196879    0.021231  1.109334          -0.268738   0.088358   \n",
+      "3  1.691550   -0.346811  0.487926          -0.809251   0.930918   \n",
+      "4  0.295700    0.227694  1.840403           0.451946   1.281985   \n",
+      "\n",
+      "   total_phenols  flavanoids  nonflavanoid_phenols  proanthocyanins  \\\n",
+      "0       0.808997    1.034819             -0.659563         1.224884   \n",
+      "1       0.568648    0.733629             -0.820719        -0.544721   \n",
+      "2       0.808997    1.215533             -0.498407         2.135968   \n",
+      "3       2.491446    1.466525             -0.981875         1.032155   \n",
+      "4       0.808997    0.663351              0.226796         0.401404   \n",
+      "\n",
+      "   color_intensity       hue  od280/od315_of_diluted_wines   proline  \n",
+      "0         0.251717  0.362177                      1.847920  1.013009  \n",
+      "1        -0.293321  0.406051                      1.113449  0.965242  \n",
+      "2         0.269020  0.318304                      0.788587  1.395148  \n",
+      "3         1.186068 -0.427544                      1.184071  2.334574  \n",
+      "4        -0.319276  0.362177                      0.449601 -0.037874  \n"
+     ]
+    }
+   ],
    "source": [
     "# Select predictors (excluding the last column)\n",
     "predictors = wine_df.iloc[:, :-1]\n",
@@ -204,7 +567,7 @@
    "id": "403ef0bb",
    "metadata": {},
    "source": [
-    "> Your answer here..."
+    "It is important to standardize the predictor variables because the dataset have to be on the same scale. Differences in scale can disproportionately affect machine learning models that rely on distance metrics (For example K-Nearest Neighbors). We use the `StandardScaler()` function in the sklearn.preprocessing module for this.> Your answer here..."
    ]
   },
   {
@@ -220,7 +583,7 @@
    "id": "fdee5a15",
    "metadata": {},
    "source": [
-    "> Your answer here..."
+    "We do not standardize our response variable class because this is our target variable and it is a categorical variable with distinct wine types> Your answer here..."
    ]
   },
   {
@@ -236,7 +599,7 @@
    "id": "f0676c21",
    "metadata": {},
    "source": [
-    "> Your answer here..."
+    "> The `np.random.seed()` function is used to control the randomness in the code. Usually, when we generate random numbers, they change every time we run the code. By setting a \"seed\" with `np.random.seed()`, we make sure the random numbers stay the same each time it is run. This is useful in getting consistent results for testing, comparisons or for reproducibility."
    ]
   },
   {
@@ -251,7 +614,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "72c101f2",
    "metadata": {},
    "outputs": [],
@@ -261,7 +624,13 @@
     "\n",
     "# split the data into a training and testing set. hint: use train_test_split !\n",
     "\n",
-    "# Your code here ..."
+    "# split predictors and response, then create non-overlapping training and testing sets\n",
+    "X = predictors_standardized  # standardized predictors\n",
+    "y = wine_df['class']         # response variable\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(\n",
+    "    X, y, train_size=0.75, stratify=y, random_state=123\n",
+    ")"
    ]
   },
   {
@@ -284,12 +653,1519 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "08818c64",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best number of neighbors: 7\n",
+      "Best cross-validation accuracy: 0.9775\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here..."
+    "# Step 1: Initialize the KNN classifier\n",
+    "knn = KNeighborsClassifier()\n",
+    "\n",
+    "# Step 2: Define parameter grid for n_neighbors from 1 to 50\n",
+    "parameter_grid = {'n_neighbors': range(1, 51)}\n",
+    "\n",
+    "# Step 3: Set up GridSearchCV with 10-fold cross-validation\n",
+    "wine_tune_grid = GridSearchCV(\n",
+    "    estimator=knn,\n",
+    "    param_grid=parameter_grid,\n",
+    "    cv=10,\n",
+    "    scoring='accuracy'\n",
+    ")\n",
+    "\n",
+    "# Fit the grid search on training data\n",
+    "wine_tune_grid.fit(X_train, y_train)\n",
+    "\n",
+    "# Step 4: Get the best n_neighbors value\n",
+    "best_knn = wine_tune_grid.best_params_['n_neighbors']\n",
+    "print(f\"Best number of neighbors: {best_knn}\")\n",
+    "print(f\"Best cross-validation accuracy: {wine_tune_grid.best_score_:.4f}\")\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "776a7fb4",
+   "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>mean_fit_time</th>\n",
+       "      <th>std_fit_time</th>\n",
+       "      <th>mean_score_time</th>\n",
+       "      <th>std_score_time</th>\n",
+       "      <th>param_n_neighbors</th>\n",
+       "      <th>params</th>\n",
+       "      <th>split0_test_score</th>\n",
+       "      <th>split1_test_score</th>\n",
+       "      <th>split2_test_score</th>\n",
+       "      <th>split3_test_score</th>\n",
+       "      <th>split4_test_score</th>\n",
+       "      <th>split5_test_score</th>\n",
+       "      <th>split6_test_score</th>\n",
+       "      <th>split7_test_score</th>\n",
+       "      <th>split8_test_score</th>\n",
+       "      <th>split9_test_score</th>\n",
+       "      <th>mean_test_score</th>\n",
+       "      <th>std_test_score</th>\n",
+       "      <th>rank_test_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.021800</td>\n",
+       "      <td>0.043165</td>\n",
+       "      <td>0.031801</td>\n",
+       "      <td>0.056282</td>\n",
+       "      <td>1</td>\n",
+       "      <td>{'n_neighbors': 1}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.954396</td>\n",
+       "      <td>0.092139</td>\n",
+       "      <td>39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.006798</td>\n",
+       "      <td>0.002714</td>\n",
+       "      <td>0.010399</td>\n",
+       "      <td>0.004695</td>\n",
+       "      <td>2</td>\n",
+       "      <td>{'n_neighbors': 2}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.939011</td>\n",
+       "      <td>0.089628</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.017497</td>\n",
+       "      <td>0.010658</td>\n",
+       "      <td>0.022301</td>\n",
+       "      <td>0.008462</td>\n",
+       "      <td>3</td>\n",
+       "      <td>{'n_neighbors': 3}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.962088</td>\n",
+       "      <td>0.051217</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.007001</td>\n",
+       "      <td>0.007098</td>\n",
+       "      <td>0.011100</td>\n",
+       "      <td>0.003588</td>\n",
+       "      <td>4</td>\n",
+       "      <td>{'n_neighbors': 4}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.954945</td>\n",
+       "      <td>0.050406</td>\n",
+       "      <td>35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.008801</td>\n",
+       "      <td>0.004646</td>\n",
+       "      <td>0.011598</td>\n",
+       "      <td>0.005935</td>\n",
+       "      <td>5</td>\n",
+       "      <td>{'n_neighbors': 5}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.037042</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.004500</td>\n",
+       "      <td>0.001748</td>\n",
+       "      <td>0.007800</td>\n",
+       "      <td>0.001942</td>\n",
+       "      <td>6</td>\n",
+       "      <td>{'n_neighbors': 6}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.037042</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.004700</td>\n",
+       "      <td>0.001737</td>\n",
+       "      <td>0.006799</td>\n",
+       "      <td>0.001538</td>\n",
+       "      <td>7</td>\n",
+       "      <td>{'n_neighbors': 7}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.977473</td>\n",
+       "      <td>0.034441</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.004499</td>\n",
+       "      <td>0.001747</td>\n",
+       "      <td>0.007400</td>\n",
+       "      <td>0.001857</td>\n",
+       "      <td>8</td>\n",
+       "      <td>{'n_neighbors': 8}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.954396</td>\n",
+       "      <td>0.050719</td>\n",
+       "      <td>39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.004598</td>\n",
+       "      <td>0.001202</td>\n",
+       "      <td>0.010200</td>\n",
+       "      <td>0.009217</td>\n",
+       "      <td>9</td>\n",
+       "      <td>{'n_neighbors': 9}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.037042</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.004199</td>\n",
+       "      <td>0.001601</td>\n",
+       "      <td>0.007302</td>\n",
+       "      <td>0.002150</td>\n",
+       "      <td>10</td>\n",
+       "      <td>{'n_neighbors': 10}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.954396</td>\n",
+       "      <td>0.050719</td>\n",
+       "      <td>39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>0.004603</td>\n",
+       "      <td>0.001497</td>\n",
+       "      <td>0.007497</td>\n",
+       "      <td>0.002374</td>\n",
+       "      <td>11</td>\n",
+       "      <td>{'n_neighbors': 11}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>0.003999</td>\n",
+       "      <td>0.001342</td>\n",
+       "      <td>0.007203</td>\n",
+       "      <td>0.001601</td>\n",
+       "      <td>12</td>\n",
+       "      <td>{'n_neighbors': 12}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.969780</td>\n",
+       "      <td>0.037042</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>0.004499</td>\n",
+       "      <td>0.001360</td>\n",
+       "      <td>0.007300</td>\n",
+       "      <td>0.002193</td>\n",
+       "      <td>13</td>\n",
+       "      <td>{'n_neighbors': 13}</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.977473</td>\n",
+       "      <td>0.034441</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>0.004799</td>\n",
+       "      <td>0.001604</td>\n",
+       "      <td>0.006999</td>\n",
+       "      <td>0.001950</td>\n",
+       "      <td>14</td>\n",
+       "      <td>{'n_neighbors': 14}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>0.006503</td>\n",
+       "      <td>0.005084</td>\n",
+       "      <td>0.007398</td>\n",
+       "      <td>0.002653</td>\n",
+       "      <td>15</td>\n",
+       "      <td>{'n_neighbors': 15}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>0.004099</td>\n",
+       "      <td>0.001516</td>\n",
+       "      <td>0.007801</td>\n",
+       "      <td>0.002229</td>\n",
+       "      <td>16</td>\n",
+       "      <td>{'n_neighbors': 16}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>0.005000</td>\n",
+       "      <td>0.001675</td>\n",
+       "      <td>0.006599</td>\n",
+       "      <td>0.001909</td>\n",
+       "      <td>17</td>\n",
+       "      <td>{'n_neighbors': 17}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>0.003900</td>\n",
+       "      <td>0.001377</td>\n",
+       "      <td>0.007000</td>\n",
+       "      <td>0.002052</td>\n",
+       "      <td>18</td>\n",
+       "      <td>{'n_neighbors': 18}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>0.004299</td>\n",
+       "      <td>0.001187</td>\n",
+       "      <td>0.008103</td>\n",
+       "      <td>0.001702</td>\n",
+       "      <td>19</td>\n",
+       "      <td>{'n_neighbors': 19}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>0.004603</td>\n",
+       "      <td>0.001429</td>\n",
+       "      <td>0.006797</td>\n",
+       "      <td>0.002039</td>\n",
+       "      <td>20</td>\n",
+       "      <td>{'n_neighbors': 20}</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.963187</td>\n",
+       "      <td>0.048777</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>0.004402</td>\n",
+       "      <td>0.002012</td>\n",
+       "      <td>0.006799</td>\n",
+       "      <td>0.002318</td>\n",
+       "      <td>21</td>\n",
+       "      <td>{'n_neighbors': 21}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.970330</td>\n",
+       "      <td>0.036380</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>0.004300</td>\n",
+       "      <td>0.001102</td>\n",
+       "      <td>0.006701</td>\n",
+       "      <td>0.001615</td>\n",
+       "      <td>22</td>\n",
+       "      <td>{'n_neighbors': 22}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.970330</td>\n",
+       "      <td>0.036380</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>0.004403</td>\n",
+       "      <td>0.001856</td>\n",
+       "      <td>0.007197</td>\n",
+       "      <td>0.002041</td>\n",
+       "      <td>23</td>\n",
+       "      <td>{'n_neighbors': 23}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>0.004500</td>\n",
+       "      <td>0.001687</td>\n",
+       "      <td>0.007501</td>\n",
+       "      <td>0.002015</td>\n",
+       "      <td>24</td>\n",
+       "      <td>{'n_neighbors': 24}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.970330</td>\n",
+       "      <td>0.036380</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>0.004098</td>\n",
+       "      <td>0.001133</td>\n",
+       "      <td>0.007601</td>\n",
+       "      <td>0.001802</td>\n",
+       "      <td>25</td>\n",
+       "      <td>{'n_neighbors': 25}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.954945</td>\n",
+       "      <td>0.050406</td>\n",
+       "      <td>33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>0.004499</td>\n",
+       "      <td>0.001565</td>\n",
+       "      <td>0.006701</td>\n",
+       "      <td>0.002053</td>\n",
+       "      <td>26</td>\n",
+       "      <td>{'n_neighbors': 26}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.050823</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>0.004799</td>\n",
+       "      <td>0.001664</td>\n",
+       "      <td>0.007399</td>\n",
+       "      <td>0.001433</td>\n",
+       "      <td>27</td>\n",
+       "      <td>{'n_neighbors': 27}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.954945</td>\n",
+       "      <td>0.050406</td>\n",
+       "      <td>33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>0.004301</td>\n",
+       "      <td>0.001552</td>\n",
+       "      <td>0.007599</td>\n",
+       "      <td>0.001802</td>\n",
+       "      <td>28</td>\n",
+       "      <td>{'n_neighbors': 28}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>0.004702</td>\n",
+       "      <td>0.001274</td>\n",
+       "      <td>0.006697</td>\n",
+       "      <td>0.001678</td>\n",
+       "      <td>29</td>\n",
+       "      <td>{'n_neighbors': 29}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>0.004603</td>\n",
+       "      <td>0.001282</td>\n",
+       "      <td>0.007897</td>\n",
+       "      <td>0.001869</td>\n",
+       "      <td>30</td>\n",
+       "      <td>{'n_neighbors': 30}</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.947802</td>\n",
+       "      <td>0.046832</td>\n",
+       "      <td>42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>0.004301</td>\n",
+       "      <td>0.001420</td>\n",
+       "      <td>0.007299</td>\n",
+       "      <td>0.002006</td>\n",
+       "      <td>31</td>\n",
+       "      <td>{'n_neighbors': 31}</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.955495</td>\n",
+       "      <td>0.048430</td>\n",
+       "      <td>29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>0.004899</td>\n",
+       "      <td>0.002469</td>\n",
+       "      <td>0.008102</td>\n",
+       "      <td>0.002548</td>\n",
+       "      <td>32</td>\n",
+       "      <td>{'n_neighbors': 32}</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.955495</td>\n",
+       "      <td>0.048430</td>\n",
+       "      <td>29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>0.004299</td>\n",
+       "      <td>0.001487</td>\n",
+       "      <td>0.008003</td>\n",
+       "      <td>0.002368</td>\n",
+       "      <td>33</td>\n",
+       "      <td>{'n_neighbors': 33}</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.955495</td>\n",
+       "      <td>0.048430</td>\n",
+       "      <td>29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>0.004602</td>\n",
+       "      <td>0.001747</td>\n",
+       "      <td>0.006598</td>\n",
+       "      <td>0.001858</td>\n",
+       "      <td>34</td>\n",
+       "      <td>{'n_neighbors': 34}</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.963187</td>\n",
+       "      <td>0.048777</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>0.004396</td>\n",
+       "      <td>0.001429</td>\n",
+       "      <td>0.007602</td>\n",
+       "      <td>0.002154</td>\n",
+       "      <td>35</td>\n",
+       "      <td>{'n_neighbors': 35}</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.955495</td>\n",
+       "      <td>0.048430</td>\n",
+       "      <td>29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>0.004700</td>\n",
+       "      <td>0.001102</td>\n",
+       "      <td>0.007200</td>\n",
+       "      <td>0.001890</td>\n",
+       "      <td>36</td>\n",
+       "      <td>{'n_neighbors': 36}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>0.004798</td>\n",
+       "      <td>0.001535</td>\n",
+       "      <td>0.007300</td>\n",
+       "      <td>0.001847</td>\n",
+       "      <td>37</td>\n",
+       "      <td>{'n_neighbors': 37}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>0.004600</td>\n",
+       "      <td>0.001499</td>\n",
+       "      <td>0.006700</td>\n",
+       "      <td>0.001736</td>\n",
+       "      <td>38</td>\n",
+       "      <td>{'n_neighbors': 38}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>0.004798</td>\n",
+       "      <td>0.001780</td>\n",
+       "      <td>0.008102</td>\n",
+       "      <td>0.003366</td>\n",
+       "      <td>39</td>\n",
+       "      <td>{'n_neighbors': 39}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.962637</td>\n",
+       "      <td>0.037411</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>0.005402</td>\n",
+       "      <td>0.001629</td>\n",
+       "      <td>0.007298</td>\n",
+       "      <td>0.001349</td>\n",
+       "      <td>40</td>\n",
+       "      <td>{'n_neighbors': 40}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.954945</td>\n",
+       "      <td>0.036842</td>\n",
+       "      <td>35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>0.004602</td>\n",
+       "      <td>0.001500</td>\n",
+       "      <td>0.007914</td>\n",
+       "      <td>0.002940</td>\n",
+       "      <td>41</td>\n",
+       "      <td>{'n_neighbors': 41}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.970330</td>\n",
+       "      <td>0.036380</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>0.004402</td>\n",
+       "      <td>0.001856</td>\n",
+       "      <td>0.006999</td>\n",
+       "      <td>0.001950</td>\n",
+       "      <td>42</td>\n",
+       "      <td>{'n_neighbors': 42}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.954945</td>\n",
+       "      <td>0.036842</td>\n",
+       "      <td>35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>0.004705</td>\n",
+       "      <td>0.001739</td>\n",
+       "      <td>0.007197</td>\n",
+       "      <td>0.001471</td>\n",
+       "      <td>43</td>\n",
+       "      <td>{'n_neighbors': 43}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.954945</td>\n",
+       "      <td>0.036842</td>\n",
+       "      <td>35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>0.004299</td>\n",
+       "      <td>0.001847</td>\n",
+       "      <td>0.007803</td>\n",
+       "      <td>0.002360</td>\n",
+       "      <td>44</td>\n",
+       "      <td>{'n_neighbors': 44}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.947253</td>\n",
+       "      <td>0.048787</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>0.005000</td>\n",
+       "      <td>0.001677</td>\n",
+       "      <td>0.007199</td>\n",
+       "      <td>0.001603</td>\n",
+       "      <td>45</td>\n",
+       "      <td>{'n_neighbors': 45}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.947253</td>\n",
+       "      <td>0.048787</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>0.004698</td>\n",
+       "      <td>0.001270</td>\n",
+       "      <td>0.008149</td>\n",
+       "      <td>0.002258</td>\n",
+       "      <td>46</td>\n",
+       "      <td>{'n_neighbors': 46}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.947253</td>\n",
+       "      <td>0.048787</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>0.004700</td>\n",
+       "      <td>0.001900</td>\n",
+       "      <td>0.007300</td>\n",
+       "      <td>0.002052</td>\n",
+       "      <td>47</td>\n",
+       "      <td>{'n_neighbors': 47}</td>\n",
+       "      <td>0.857143</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.947802</td>\n",
+       "      <td>0.046832</td>\n",
+       "      <td>42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>0.004400</td>\n",
+       "      <td>0.001359</td>\n",
+       "      <td>0.008200</td>\n",
+       "      <td>0.002858</td>\n",
+       "      <td>48</td>\n",
+       "      <td>{'n_neighbors': 48}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.947253</td>\n",
+       "      <td>0.034594</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>0.004300</td>\n",
+       "      <td>0.001270</td>\n",
+       "      <td>0.007202</td>\n",
+       "      <td>0.001473</td>\n",
+       "      <td>49</td>\n",
+       "      <td>{'n_neighbors': 49}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.947253</td>\n",
+       "      <td>0.034594</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>0.003999</td>\n",
+       "      <td>0.001186</td>\n",
+       "      <td>0.008512</td>\n",
+       "      <td>0.003637</td>\n",
+       "      <td>50</td>\n",
+       "      <td>{'n_neighbors': 50}</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>0.928571</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.923077</td>\n",
+       "      <td>0.947253</td>\n",
+       "      <td>0.034594</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    mean_fit_time  std_fit_time  mean_score_time  std_score_time  \\\n",
+       "0        0.021800      0.043165         0.031801        0.056282   \n",
+       "1        0.006798      0.002714         0.010399        0.004695   \n",
+       "2        0.017497      0.010658         0.022301        0.008462   \n",
+       "3        0.007001      0.007098         0.011100        0.003588   \n",
+       "4        0.008801      0.004646         0.011598        0.005935   \n",
+       "5        0.004500      0.001748         0.007800        0.001942   \n",
+       "6        0.004700      0.001737         0.006799        0.001538   \n",
+       "7        0.004499      0.001747         0.007400        0.001857   \n",
+       "8        0.004598      0.001202         0.010200        0.009217   \n",
+       "9        0.004199      0.001601         0.007302        0.002150   \n",
+       "10       0.004603      0.001497         0.007497        0.002374   \n",
+       "11       0.003999      0.001342         0.007203        0.001601   \n",
+       "12       0.004499      0.001360         0.007300        0.002193   \n",
+       "13       0.004799      0.001604         0.006999        0.001950   \n",
+       "14       0.006503      0.005084         0.007398        0.002653   \n",
+       "15       0.004099      0.001516         0.007801        0.002229   \n",
+       "16       0.005000      0.001675         0.006599        0.001909   \n",
+       "17       0.003900      0.001377         0.007000        0.002052   \n",
+       "18       0.004299      0.001187         0.008103        0.001702   \n",
+       "19       0.004603      0.001429         0.006797        0.002039   \n",
+       "20       0.004402      0.002012         0.006799        0.002318   \n",
+       "21       0.004300      0.001102         0.006701        0.001615   \n",
+       "22       0.004403      0.001856         0.007197        0.002041   \n",
+       "23       0.004500      0.001687         0.007501        0.002015   \n",
+       "24       0.004098      0.001133         0.007601        0.001802   \n",
+       "25       0.004499      0.001565         0.006701        0.002053   \n",
+       "26       0.004799      0.001664         0.007399        0.001433   \n",
+       "27       0.004301      0.001552         0.007599        0.001802   \n",
+       "28       0.004702      0.001274         0.006697        0.001678   \n",
+       "29       0.004603      0.001282         0.007897        0.001869   \n",
+       "30       0.004301      0.001420         0.007299        0.002006   \n",
+       "31       0.004899      0.002469         0.008102        0.002548   \n",
+       "32       0.004299      0.001487         0.008003        0.002368   \n",
+       "33       0.004602      0.001747         0.006598        0.001858   \n",
+       "34       0.004396      0.001429         0.007602        0.002154   \n",
+       "35       0.004700      0.001102         0.007200        0.001890   \n",
+       "36       0.004798      0.001535         0.007300        0.001847   \n",
+       "37       0.004600      0.001499         0.006700        0.001736   \n",
+       "38       0.004798      0.001780         0.008102        0.003366   \n",
+       "39       0.005402      0.001629         0.007298        0.001349   \n",
+       "40       0.004602      0.001500         0.007914        0.002940   \n",
+       "41       0.004402      0.001856         0.006999        0.001950   \n",
+       "42       0.004705      0.001739         0.007197        0.001471   \n",
+       "43       0.004299      0.001847         0.007803        0.002360   \n",
+       "44       0.005000      0.001677         0.007199        0.001603   \n",
+       "45       0.004698      0.001270         0.008149        0.002258   \n",
+       "46       0.004700      0.001900         0.007300        0.002052   \n",
+       "47       0.004400      0.001359         0.008200        0.002858   \n",
+       "48       0.004300      0.001270         0.007202        0.001473   \n",
+       "49       0.003999      0.001186         0.008512        0.003637   \n",
+       "\n",
+       "    param_n_neighbors               params  split0_test_score  \\\n",
+       "0                   1   {'n_neighbors': 1}           1.000000   \n",
+       "1                   2   {'n_neighbors': 2}           1.000000   \n",
+       "2                   3   {'n_neighbors': 3}           1.000000   \n",
+       "3                   4   {'n_neighbors': 4}           0.928571   \n",
+       "4                   5   {'n_neighbors': 5}           1.000000   \n",
+       "5                   6   {'n_neighbors': 6}           0.928571   \n",
+       "6                   7   {'n_neighbors': 7}           1.000000   \n",
+       "7                   8   {'n_neighbors': 8}           0.928571   \n",
+       "8                   9   {'n_neighbors': 9}           1.000000   \n",
+       "9                  10  {'n_neighbors': 10}           1.000000   \n",
+       "10                 11  {'n_neighbors': 11}           0.928571   \n",
+       "11                 12  {'n_neighbors': 12}           1.000000   \n",
+       "12                 13  {'n_neighbors': 13}           1.000000   \n",
+       "13                 14  {'n_neighbors': 14}           0.928571   \n",
+       "14                 15  {'n_neighbors': 15}           0.928571   \n",
+       "15                 16  {'n_neighbors': 16}           0.928571   \n",
+       "16                 17  {'n_neighbors': 17}           0.928571   \n",
+       "17                 18  {'n_neighbors': 18}           0.928571   \n",
+       "18                 19  {'n_neighbors': 19}           0.928571   \n",
+       "19                 20  {'n_neighbors': 20}           0.857143   \n",
+       "20                 21  {'n_neighbors': 21}           0.928571   \n",
+       "21                 22  {'n_neighbors': 22}           0.928571   \n",
+       "22                 23  {'n_neighbors': 23}           0.928571   \n",
+       "23                 24  {'n_neighbors': 24}           0.928571   \n",
+       "24                 25  {'n_neighbors': 25}           0.928571   \n",
+       "25                 26  {'n_neighbors': 26}           0.928571   \n",
+       "26                 27  {'n_neighbors': 27}           0.928571   \n",
+       "27                 28  {'n_neighbors': 28}           0.928571   \n",
+       "28                 29  {'n_neighbors': 29}           0.928571   \n",
+       "29                 30  {'n_neighbors': 30}           0.857143   \n",
+       "30                 31  {'n_neighbors': 31}           0.857143   \n",
+       "31                 32  {'n_neighbors': 32}           0.857143   \n",
+       "32                 33  {'n_neighbors': 33}           0.857143   \n",
+       "33                 34  {'n_neighbors': 34}           0.857143   \n",
+       "34                 35  {'n_neighbors': 35}           0.857143   \n",
+       "35                 36  {'n_neighbors': 36}           0.928571   \n",
+       "36                 37  {'n_neighbors': 37}           0.928571   \n",
+       "37                 38  {'n_neighbors': 38}           0.928571   \n",
+       "38                 39  {'n_neighbors': 39}           0.928571   \n",
+       "39                 40  {'n_neighbors': 40}           0.928571   \n",
+       "40                 41  {'n_neighbors': 41}           0.928571   \n",
+       "41                 42  {'n_neighbors': 42}           0.928571   \n",
+       "42                 43  {'n_neighbors': 43}           0.928571   \n",
+       "43                 44  {'n_neighbors': 44}           0.928571   \n",
+       "44                 45  {'n_neighbors': 45}           0.928571   \n",
+       "45                 46  {'n_neighbors': 46}           0.928571   \n",
+       "46                 47  {'n_neighbors': 47}           0.857143   \n",
+       "47                 48  {'n_neighbors': 48}           0.928571   \n",
+       "48                 49  {'n_neighbors': 49}           0.928571   \n",
+       "49                 50  {'n_neighbors': 50}           0.928571   \n",
+       "\n",
+       "    split1_test_score  split2_test_score  split3_test_score  \\\n",
+       "0            0.928571                1.0           0.692308   \n",
+       "1            0.928571                1.0           0.692308   \n",
+       "2            0.928571                1.0           0.846154   \n",
+       "3            0.928571                1.0           0.846154   \n",
+       "4            0.928571                1.0           0.923077   \n",
+       "5            1.000000                1.0           0.923077   \n",
+       "6            0.928571                1.0           0.923077   \n",
+       "7            1.000000                1.0           0.846154   \n",
+       "8            0.928571                1.0           0.923077   \n",
+       "9            0.928571                1.0           0.846154   \n",
+       "10           0.928571                1.0           0.923077   \n",
+       "11           0.928571                1.0           0.923077   \n",
+       "12           0.928571                1.0           1.000000   \n",
+       "13           0.928571                1.0           0.923077   \n",
+       "14           0.928571                1.0           0.923077   \n",
+       "15           0.928571                1.0           0.923077   \n",
+       "16           0.928571                1.0           0.923077   \n",
+       "17           0.928571                1.0           0.923077   \n",
+       "18           0.928571                1.0           0.923077   \n",
+       "19           0.928571                1.0           0.923077   \n",
+       "20           0.928571                1.0           0.923077   \n",
+       "21           0.928571                1.0           0.923077   \n",
+       "22           0.928571                1.0           0.923077   \n",
+       "23           0.928571                1.0           0.923077   \n",
+       "24           0.928571                1.0           0.846154   \n",
+       "25           0.928571                1.0           0.846154   \n",
+       "26           0.928571                1.0           0.846154   \n",
+       "27           0.928571                1.0           0.923077   \n",
+       "28           0.928571                1.0           0.923077   \n",
+       "29           0.928571                1.0           0.923077   \n",
+       "30           0.928571                1.0           0.923077   \n",
+       "31           0.928571                1.0           0.923077   \n",
+       "32           0.928571                1.0           0.923077   \n",
+       "33           0.928571                1.0           0.923077   \n",
+       "34           0.928571                1.0           0.923077   \n",
+       "35           0.928571                1.0           0.923077   \n",
+       "36           0.928571                1.0           0.923077   \n",
+       "37           0.928571                1.0           0.923077   \n",
+       "38           0.928571                1.0           0.923077   \n",
+       "39           0.928571                1.0           0.923077   \n",
+       "40           0.928571                1.0           1.000000   \n",
+       "41           0.928571                1.0           0.923077   \n",
+       "42           0.928571                1.0           0.923077   \n",
+       "43           0.928571                1.0           0.846154   \n",
+       "44           0.928571                1.0           0.846154   \n",
+       "45           0.928571                1.0           0.846154   \n",
+       "46           0.928571                1.0           0.923077   \n",
+       "47           0.928571                1.0           0.923077   \n",
+       "48           0.928571                1.0           0.923077   \n",
+       "49           0.928571                1.0           0.923077   \n",
+       "\n",
+       "    split4_test_score  split5_test_score  split6_test_score  \\\n",
+       "0            1.000000                1.0           1.000000   \n",
+       "1            1.000000                1.0           1.000000   \n",
+       "2            1.000000                1.0           1.000000   \n",
+       "3            0.923077                1.0           1.000000   \n",
+       "4            0.923077                1.0           1.000000   \n",
+       "5            0.923077                1.0           1.000000   \n",
+       "6            0.923077                1.0           1.000000   \n",
+       "7            0.923077                1.0           1.000000   \n",
+       "8            0.923077                1.0           1.000000   \n",
+       "9            0.923077                1.0           0.923077   \n",
+       "10           0.923077                1.0           1.000000   \n",
+       "11           0.923077                1.0           1.000000   \n",
+       "12           0.923077                1.0           1.000000   \n",
+       "13           0.923077                1.0           1.000000   \n",
+       "14           0.923077                1.0           1.000000   \n",
+       "15           0.923077                1.0           1.000000   \n",
+       "16           0.923077                1.0           1.000000   \n",
+       "17           0.923077                1.0           1.000000   \n",
+       "18           0.923077                1.0           1.000000   \n",
+       "19           0.923077                1.0           1.000000   \n",
+       "20           0.923077                1.0           1.000000   \n",
+       "21           0.923077                1.0           1.000000   \n",
+       "22           0.923077                1.0           1.000000   \n",
+       "23           0.923077                1.0           1.000000   \n",
+       "24           0.923077                1.0           1.000000   \n",
+       "25           0.923077                1.0           1.000000   \n",
+       "26           0.923077                1.0           1.000000   \n",
+       "27           0.923077                1.0           1.000000   \n",
+       "28           0.923077                1.0           1.000000   \n",
+       "29           0.923077                1.0           1.000000   \n",
+       "30           0.923077                1.0           1.000000   \n",
+       "31           0.923077                1.0           1.000000   \n",
+       "32           0.923077                1.0           1.000000   \n",
+       "33           0.923077                1.0           1.000000   \n",
+       "34           0.923077                1.0           0.923077   \n",
+       "35           0.923077                1.0           1.000000   \n",
+       "36           0.923077                1.0           1.000000   \n",
+       "37           0.923077                1.0           1.000000   \n",
+       "38           0.923077                1.0           1.000000   \n",
+       "39           0.923077                1.0           1.000000   \n",
+       "40           0.923077                1.0           1.000000   \n",
+       "41           0.923077                1.0           1.000000   \n",
+       "42           0.923077                1.0           1.000000   \n",
+       "43           0.923077                1.0           1.000000   \n",
+       "44           0.923077                1.0           1.000000   \n",
+       "45           0.923077                1.0           1.000000   \n",
+       "46           0.923077                1.0           1.000000   \n",
+       "47           0.923077                1.0           1.000000   \n",
+       "48           0.923077                1.0           1.000000   \n",
+       "49           0.923077                1.0           1.000000   \n",
+       "\n",
+       "    split7_test_score  split8_test_score  split9_test_score  mean_test_score  \\\n",
+       "0            1.000000           1.000000           0.923077         0.954396   \n",
+       "1            0.923077           0.923077           0.923077         0.939011   \n",
+       "2            1.000000           0.923077           0.923077         0.962088   \n",
+       "3            1.000000           0.923077           1.000000         0.954945   \n",
+       "4            1.000000           0.923077           1.000000         0.969780   \n",
+       "5            1.000000           0.923077           1.000000         0.969780   \n",
+       "6            1.000000           1.000000           1.000000         0.977473   \n",
+       "7            0.923077           0.923077           1.000000         0.954396   \n",
+       "8            0.923077           1.000000           1.000000         0.969780   \n",
+       "9            0.923077           1.000000           1.000000         0.954396   \n",
+       "10           0.923077           1.000000           1.000000         0.962637   \n",
+       "11           0.923077           1.000000           1.000000         0.969780   \n",
+       "12           0.923077           1.000000           1.000000         0.977473   \n",
+       "13           0.923077           1.000000           1.000000         0.962637   \n",
+       "14           0.923077           1.000000           1.000000         0.962637   \n",
+       "15           0.923077           1.000000           1.000000         0.962637   \n",
+       "16           0.923077           1.000000           1.000000         0.962637   \n",
+       "17           0.923077           1.000000           1.000000         0.962637   \n",
+       "18           0.923077           1.000000           1.000000         0.962637   \n",
+       "19           1.000000           1.000000           1.000000         0.963187   \n",
+       "20           1.000000           1.000000           1.000000         0.970330   \n",
+       "21           1.000000           1.000000           1.000000         0.970330   \n",
+       "22           1.000000           1.000000           0.923077         0.962637   \n",
+       "23           1.000000           1.000000           1.000000         0.970330   \n",
+       "24           1.000000           1.000000           0.923077         0.954945   \n",
+       "25           1.000000           1.000000           1.000000         0.962637   \n",
+       "26           1.000000           1.000000           0.923077         0.954945   \n",
+       "27           1.000000           1.000000           0.923077         0.962637   \n",
+       "28           1.000000           1.000000           0.923077         0.962637   \n",
+       "29           0.923077           1.000000           0.923077         0.947802   \n",
+       "30           1.000000           1.000000           0.923077         0.955495   \n",
+       "31           1.000000           1.000000           0.923077         0.955495   \n",
+       "32           1.000000           1.000000           0.923077         0.955495   \n",
+       "33           1.000000           1.000000           1.000000         0.963187   \n",
+       "34           1.000000           1.000000           1.000000         0.955495   \n",
+       "35           0.923077           1.000000           1.000000         0.962637   \n",
+       "36           0.923077           1.000000           1.000000         0.962637   \n",
+       "37           0.923077           1.000000           1.000000         0.962637   \n",
+       "38           0.923077           1.000000           1.000000         0.962637   \n",
+       "39           0.923077           1.000000           0.923077         0.954945   \n",
+       "40           0.923077           1.000000           1.000000         0.970330   \n",
+       "41           0.923077           1.000000           0.923077         0.954945   \n",
+       "42           0.923077           1.000000           0.923077         0.954945   \n",
+       "43           0.923077           1.000000           0.923077         0.947253   \n",
+       "44           0.923077           1.000000           0.923077         0.947253   \n",
+       "45           0.923077           1.000000           0.923077         0.947253   \n",
+       "46           0.923077           1.000000           0.923077         0.947802   \n",
+       "47           0.923077           0.923077           0.923077         0.947253   \n",
+       "48           0.923077           0.923077           0.923077         0.947253   \n",
+       "49           0.923077           0.923077           0.923077         0.947253   \n",
+       "\n",
+       "    std_test_score  rank_test_score  \n",
+       "0         0.092139               39  \n",
+       "1         0.089628               50  \n",
+       "2         0.051217               28  \n",
+       "3         0.050406               35  \n",
+       "4         0.037042                7  \n",
+       "5         0.037042                7  \n",
+       "6         0.034441                1  \n",
+       "7         0.050719               39  \n",
+       "8         0.037042                9  \n",
+       "9         0.050719               39  \n",
+       "10        0.037411               17  \n",
+       "11        0.037042                9  \n",
+       "12        0.034441                1  \n",
+       "13        0.037411               17  \n",
+       "14        0.037411               17  \n",
+       "15        0.037411               17  \n",
+       "16        0.037411               17  \n",
+       "17        0.037411               17  \n",
+       "18        0.037411               17  \n",
+       "19        0.048777               11  \n",
+       "20        0.036380                3  \n",
+       "21        0.036380                3  \n",
+       "22        0.037411               13  \n",
+       "23        0.036380                3  \n",
+       "24        0.050406               33  \n",
+       "25        0.050823               13  \n",
+       "26        0.050406               33  \n",
+       "27        0.037411               13  \n",
+       "28        0.037411               13  \n",
+       "29        0.046832               42  \n",
+       "30        0.048430               29  \n",
+       "31        0.048430               29  \n",
+       "32        0.048430               29  \n",
+       "33        0.048777               11  \n",
+       "34        0.048430               29  \n",
+       "35        0.037411               17  \n",
+       "36        0.037411               17  \n",
+       "37        0.037411               17  \n",
+       "38        0.037411               17  \n",
+       "39        0.036842               35  \n",
+       "40        0.036380                3  \n",
+       "41        0.036842               35  \n",
+       "42        0.036842               35  \n",
+       "43        0.048787               44  \n",
+       "44        0.048787               44  \n",
+       "45        0.048787               44  \n",
+       "46        0.046832               42  \n",
+       "47        0.034594               44  \n",
+       "48        0.034594               44  \n",
+       "49        0.034594               44  "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "accuracy_grid = pd.DataFrame(wine_tune_grid.cv_results_)\n",
+    "accuracy_grid"
    ]
   },
   {
@@ -305,12 +2181,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "id": "ffefa9f2",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test set accuracy with k=7: 0.9333\n",
+      "This means the model correctly classified 93.33% of the test wines\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here..."
+    "# Create a new KNN model with the best k value we found\n",
+    "knn_best = KNeighborsClassifier(n_neighbors=best_knn)\n",
+    "\n",
+    "# Train (fit) the model on the training data\n",
+    "knn_best.fit(X_train, y_train)\n",
+    "\n",
+    "# Make predictions on the test set\n",
+    "y_pred = knn_best.predict(X_test)\n",
+    "\n",
+    "# Calculate accuracy on the test set\n",
+    "test_accuracy = accuracy_score(y_test, y_pred)\n",
+    "\n",
+    "print(f\"Test set accuracy with k={best_knn}: {test_accuracy:.4f}\")\n",
+    "print(f\"This means the model correctly classified {test_accuracy*100:.2f}% of the test wines\")"
    ]
   },
   {
@@ -365,7 +2263,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.10.4",
+   "display_name": "lcr-env (3.11.14)",
    "language": "python",
    "name": "python3"
   },
@@ -379,12 +2277,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.19"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "497a84dc8fec8cf8d24e7e87b6d954c9a18a327edc66feb9b9ea7e9e72cc5c7e"
-   }
+   "version": "3.11.14"
   }
  },
  "nbformat": 4,