ans_eval(average).ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "ans_eval(average).ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPf4BLoXOCGdX/8j/xoWF1y",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Deepak345/answer_evaluator/blob/master/ans_eval(average).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "52x7mIecXELk",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "b131e474-fe7e-4dac-dca2-e5062a9aa800"
      },
      "source": [
        "%cd project/ "
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/project\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wcL28mHmZdt_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "%rm -rf logs/"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "at24hNryWZn9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# importing for data exploration and analysis\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "# classical model - random forest\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "\n",
        "# deep learning model - cnn, lstm\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten, Conv1D, MaxPooling1D,LSTM\n",
        "\n",
        "# importing for training and test split\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "# Tensorboard for visualisation\n",
        "from tensorflow.keras.callbacks import TensorBoard\n",
        "from time import time"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V4IjFdA-WbZy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = pd.read_csv(\"q1.csv\")\n",
        "\n",
        "# converting marks into int to prevent errors during training (as classification task requires int classes)\n",
        "data = data.astype({'marks' : int})\n",
        "\n",
        "# removing the nan ans from the dataframe\n",
        "data = data[data['ans'].notna()]\n",
        "\n",
        "# after droping the index gets reorganised, resetting it here\n",
        "data.reset_index(drop= True, inplace= True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MtyXYzBzW4ze",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "dddcf75c-c8b0-4b0a-f501-963f921b1908"
      },
      "source": [
        "import pickle\n",
        "with open ('vectors.txt', 'rb') as fp:\n",
        "    pad_vectors = pickle.load(fp)\n",
        "pad_vectors.shape"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(67, 124, 400)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TGqi_EWTYZx4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "pad_length = 124"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aKMErXjpWmn4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def train_rfc(x_train, x_test, y_train, y_test, n):\n",
        "    # Reshaping the vector input into 2-d from 3-d as RFC exxcepts <=2d input\n",
        "    nsamples, nx, ny = x_train.shape\n",
        "    x_train_rfc = x_train.reshape((nsamples,nx*ny))\n",
        "\n",
        "    nsamples, nx, ny = x_test.shape\n",
        "    x_test_rfc = x_test.reshape((nsamples,nx*ny))\n",
        "\n",
        "    rfc = RandomForestClassifier(n_estimators=26, random_state=200)\n",
        "    clf = rfc.fit(x_train_rfc, y_train)\n",
        "    acc = clf.score(x_test_rfc, y_test)*100\n",
        "    return acc"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rSVLLqgbWpNw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def train_cnn(x_train, x_test, y_train, y_test, n):\n",
        "    #Add Sequential\n",
        "    model_cnn = keras.Sequential()\n",
        "\n",
        "    # 1st convolutional layer\n",
        "    model_cnn.add(Dropout(0.2))\n",
        "    model_cnn.add(Conv1D(64, 4, activation='relu'))\n",
        "    model_cnn.add(MaxPooling1D(pool_size=8))\n",
        "    model_cnn.add(Flatten())\n",
        "    model_cnn.add(Dense(60,activation='relu'))\n",
        "    model_cnn.add(Dense(6,activation='softmax'))\n",
        "\n",
        "    model_cnn.compile(loss='sparse_categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
        "        \n",
        "#     Create a TensorBoard instance with the path to the logs directory\n",
        "    tensorboard = TensorBoard(log_dir='logs/{}/cnn/{}'.format(n, time()))\n",
        "    \n",
        "    model_cnn.fit(x_train, y_train, epochs = 10,  verbose = 1, callbacks=[tensorboard], shuffle=False)\n",
        "\n",
        "    results = model_cnn.evaluate(x_test, y_test)\n",
        "    return results[1]*100"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eJYUvxlDWs1r",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def train_lstm(x_train, x_test, y_train, y_test, n):\n",
        "    model_lstm = keras.Sequential()\n",
        "\n",
        "    model_lstm.add(Conv1D(input_shape=(pad_length,400), filters = pad_length, kernel_size = 40))\n",
        "    model_lstm.add(LSTM(96, dropout=0.2))\n",
        "    model_lstm.add(Dense(24,activation='sigmoid'))\n",
        "    model_lstm.add(Dense(6,activation='softmax'))\n",
        "\n",
        "    model_lstm.compile(loss='sparse_categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
        "\n",
        "#     Create a TensorBoard instance with the path to the logs directory\n",
        "    tensorboard = TensorBoard(log_dir='logs/{}/lstm/{}'.format(n, time()))\n",
        "\n",
        "    fitmodel = model_lstm.fit(x_train, y_train, epochs = 15,  verbose = 1, callbacks=[tensorboard], shuffle=False)   \n",
        "\n",
        "    results = model_lstm.evaluate(x_test, y_test)\n",
        "    return results[1]*100"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YTl-AxBxWy4z",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "84237a15-72ea-468c-df63-e69ba7ee36d3"
      },
      "source": [
        "%%time\n",
        "\n",
        "global_acc_rfc_list = []\n",
        "global_acc_cnn_list = []\n",
        "global_acc_lstm_list = []\n",
        "# acc = {}\n",
        "\n",
        "for training_round in range(30):\n",
        "    print(\"TRAINING ROUND:\",training_round)\n",
        "    print(\"===============================================================================================\\n===============================================================================================\")\n",
        "    acc_rfc_list = []\n",
        "    acc_cnn_list = []\n",
        "    acc_lstm_list = []\n",
        "    for n in [round(_ * 0.1, 1) for _ in range(2, 9)]:\n",
        "        print(\"Training on:\",n,\"\\n\")\n",
        "    #     splitting data into training and testing set\n",
        "        x_train, x_test, y_train, y_test = train_test_split(pad_vectors, data['marks'], test_size=round(1-n,1), random_state=22)\n",
        "\n",
        "    #     calling rfc for training\n",
        "        rfc_acc = train_rfc(x_train, x_test, y_train, y_test, n)\n",
        "        acc_rfc_list.append(rfc_acc)\n",
        "    #     acc[n] = [rfc_acc]\n",
        "\n",
        "    #     converting input to tensors for input into DL models\n",
        "        x_train_dl = tf.convert_to_tensor(x_train, np.float32)\n",
        "        y_train_dl = tf.convert_to_tensor(y_train, np.float32)\n",
        "\n",
        "        x_test_dl = tf.convert_to_tensor(x_test, np.float32)\n",
        "        y_test_dl = tf.convert_to_tensor(y_test, np.float32)\n",
        "\n",
        "        print(\"CNN Training--------------------------------------------\",n,\"\\n\")    \n",
        "    #     calling cnn for training\n",
        "        cnn_acc = train_cnn(x_train_dl, x_test_dl, y_train_dl, y_test_dl, n)\n",
        "        acc_cnn_list.append(cnn_acc)\n",
        "    #     acc[n].append(cnn_acc)\n",
        "\n",
        "        print(\"\\nLSTM Training--------------------------------------------\",n,\"\\n\")\n",
        "    #     calling lstm for training\n",
        "        lstm_acc = train_lstm(x_train_dl, x_test_dl, y_train_dl, y_test_dl, n)\n",
        "        acc_lstm_list.append(lstm_acc)\n",
        "    #     acc[n].append(lstm_acc)\n",
        "        \n",
        "        print(\"\\n-------------------------------------------------------------------------------------------\")\n",
        "        print(\"-------------------------------------------------------------------------------------------\")\n",
        "        print(\"-------------------------------------------------------------------------------------------\\n\\n\\n\\n\")\n",
        "    \n",
        "    global_acc_rfc_list.append(acc_rfc_list)\n",
        "    global_acc_cnn_list.append(acc_cnn_list)\n",
        "    global_acc_lstm_list.append(acc_lstm_list)\n",
        "    \n",
        "    print(\"===============================================================================================\\n===============================================================================================\\n===============================================================================================\\n===============================================================================================\\n\\n\\n\")"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.2021 - accuracy: 0.6250\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.8541 - accuracy: 0.7750\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.5971 - accuracy: 0.8750\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.4786 - accuracy: 0.8250\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.3732 - accuracy: 0.8750\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2723 - accuracy: 0.9500\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1840 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1423 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2704 - accuracy: 0.4815\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 213ms/step - loss: 2.1799 - accuracy: 0.1250\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.7663 - accuracy: 0.2000\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.5582 - accuracy: 0.4750\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.4312 - accuracy: 0.4750\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.3354 - accuracy: 0.4750\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 1.2256 - accuracy: 0.5500\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 106ms/step - loss: 1.1402 - accuracy: 0.7500\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 1.0759 - accuracy: 0.7750\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 1.0201 - accuracy: 0.8000\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.9579 - accuracy: 0.8750\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.9205 - accuracy: 0.9000\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.8685 - accuracy: 0.9000\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.8425 - accuracy: 0.9000\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.8042 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.7693 - accuracy: 0.9000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.3024 - accuracy: 0.5556\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 42ms/step - loss: 2.5782 - accuracy: 0.1957\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.5132 - accuracy: 0.3478\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.1897 - accuracy: 0.6522\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.9253 - accuracy: 0.6957\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.7530 - accuracy: 0.7609\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.5617 - accuracy: 0.8478\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.4268 - accuracy: 0.8913\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.3074 - accuracy: 0.9565\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 0.2246 - accuracy: 0.9565\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1424 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0019 - accuracy: 0.5714\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 246ms/step - loss: 1.8599 - accuracy: 0.1304\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 154ms/step - loss: 1.5155 - accuracy: 0.5870\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.3442 - accuracy: 0.5870\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.2134 - accuracy: 0.6522\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 1.1184 - accuracy: 0.6739\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 156ms/step - loss: 1.0455 - accuracy: 0.7391\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.9785 - accuracy: 0.7609\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.9297 - accuracy: 0.8043\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.8920 - accuracy: 0.8478\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.8542 - accuracy: 0.8696\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 143ms/step - loss: 0.8174 - accuracy: 0.8696\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.7850 - accuracy: 0.8696\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.7600 - accuracy: 0.8696\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.7323 - accuracy: 0.8696\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.7050 - accuracy: 0.8696\n",
            "1/1 [==============================] - 0s 2ms/step - loss: 1.0825 - accuracy: 0.6190\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 48ms/step - loss: 2.3057 - accuracy: 0.1132\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 25ms/step - loss: 1.4195 - accuracy: 0.3396\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 1.0692 - accuracy: 0.6792\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.8935 - accuracy: 0.7547\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.6891 - accuracy: 0.9245\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.5456 - accuracy: 0.9057\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 25ms/step - loss: 0.3682 - accuracy: 0.9811\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.2956 - accuracy: 0.9811\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.2083 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 28ms/step - loss: 0.1427 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 2ms/step - loss: 1.0395 - accuracy: 0.5714\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 304ms/step - loss: 1.8957 - accuracy: 0.1698\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 1.5621 - accuracy: 0.4340\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.4276 - accuracy: 0.6792\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.3086 - accuracy: 0.6981\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.1959 - accuracy: 0.7736\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 1.1185 - accuracy: 0.7736\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 1.0383 - accuracy: 0.7925\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 214ms/step - loss: 0.9680 - accuracy: 0.8113\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.9263 - accuracy: 0.7925\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 0.8734 - accuracy: 0.8113\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 0.8391 - accuracy: 0.8113\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.8052 - accuracy: 0.8113\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 0.7753 - accuracy: 0.8113\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.7485 - accuracy: 0.8113\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.7197 - accuracy: 0.8113\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0211 - accuracy: 0.6429\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 20\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.0992 - accuracy: 0.0769\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1763 - accuracy: 0.4615\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7651 - accuracy: 0.5385\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3835 - accuracy: 0.9231\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2189 - accuracy: 1.0000\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1606 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1224 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.0756 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0361 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0241 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 8ms/step - loss: 2.0276 - accuracy: 0.5000\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6797 - accuracy: 0.3846\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3444 - accuracy: 0.3846\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 1.1835 - accuracy: 0.4615\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0735 - accuracy: 0.6154\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.0061 - accuracy: 0.6154\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.9373 - accuracy: 0.6154\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.9087 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8870 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.8489 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.8313 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8085 - accuracy: 0.7692\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7895 - accuracy: 0.7692\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7673 - accuracy: 0.7692\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.7571 - accuracy: 0.7692\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7329 - accuracy: 0.7692\n",
            "2/2 [==============================] - 0s 83ms/step - loss: 1.4555 - accuracy: 0.4815\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.1097 - accuracy: 0.2000\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2393 - accuracy: 0.5000\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8742 - accuracy: 0.6500\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.6036 - accuracy: 0.9000\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.4386 - accuracy: 0.9000\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2504 - accuracy: 0.9000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1493 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0972 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0612 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0428 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.4339 - accuracy: 0.4894\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.9531 - accuracy: 0.2000\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6247 - accuracy: 0.2000\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.4699 - accuracy: 0.3000\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.3697 - accuracy: 0.3000\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2844 - accuracy: 0.5500\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1986 - accuracy: 0.6500\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.1472 - accuracy: 0.7500\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1104 - accuracy: 0.7500\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0820 - accuracy: 0.7500\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0440 - accuracy: 0.7500\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0147 - accuracy: 0.7500\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9896 - accuracy: 0.7500\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9700 - accuracy: 0.7500\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9506 - accuracy: 0.7500\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9223 - accuracy: 0.7500\n",
            "2/2 [==============================] - 0s 56ms/step - loss: 1.4675 - accuracy: 0.4894\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.6819 - accuracy: 0.1923\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3393 - accuracy: 0.4231\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1497 - accuracy: 0.5385\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8255 - accuracy: 0.7308\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6301 - accuracy: 0.8846\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3849 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2845 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1775 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1335 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0897 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.6842 - accuracy: 0.4878\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 1.8514 - accuracy: 0.2308\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5336 - accuracy: 0.2308\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3808 - accuracy: 0.4615\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.2736 - accuracy: 0.6923\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1790 - accuracy: 0.7692\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.1074 - accuracy: 0.7692\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0507 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0004 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9623 - accuracy: 0.8077\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9241 - accuracy: 0.8077\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8975 - accuracy: 0.8077\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8719 - accuracy: 0.8077\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8454 - accuracy: 0.8077\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8214 - accuracy: 0.8077\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.8013 - accuracy: 0.8077\n",
            "2/2 [==============================] - 0s 45ms/step - loss: 1.2898 - accuracy: 0.5366\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 2.1281 - accuracy: 0.1212\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 2.4374 - accuracy: 0.3333\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.9105 - accuracy: 0.3333\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.1743 - accuracy: 0.4545\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.0370 - accuracy: 0.5758\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.9764 - accuracy: 0.6061\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.8088 - accuracy: 0.7879\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.6150 - accuracy: 0.9394\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.4651 - accuracy: 0.9394\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.3965 - accuracy: 0.9697\n",
            "2/2 [==============================] - 0s 4ms/step - loss: 1.1039 - accuracy: 0.6176\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - ETA: 0s - loss: 1.9642 - accuracy: 0.0303WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.117384). Check your callbacks.\n",
            "2/2 [==============================] - 0s 153ms/step - loss: 1.9642 - accuracy: 0.0303\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.5690 - accuracy: 0.6667\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.4680 - accuracy: 0.5455\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.3897 - accuracy: 0.5455\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.3495 - accuracy: 0.4242\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.2864 - accuracy: 0.4848\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.2200 - accuracy: 0.6061\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.1567 - accuracy: 0.6970\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.1010 - accuracy: 0.6970\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.0620 - accuracy: 0.7273\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.0178 - accuracy: 0.7879\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 0.9783 - accuracy: 0.7576\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 0.9332 - accuracy: 0.8182\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.9008 - accuracy: 0.8182\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 0.8613 - accuracy: 0.8788\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.1617 - accuracy: 0.6176\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 42ms/step - loss: 1.8866 - accuracy: 0.1750\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.1778 - accuracy: 0.5500\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.9603 - accuracy: 0.7500\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 0.6890 - accuracy: 0.8250\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.5469 - accuracy: 0.8000\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.3538 - accuracy: 0.9250\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2477 - accuracy: 0.9500\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1714 - accuracy: 0.9500\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1108 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.0636 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0351 - accuracy: 0.5556\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 210ms/step - loss: 1.6971 - accuracy: 0.3500\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.4459 - accuracy: 0.3500\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.2674 - accuracy: 0.3750\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.1324 - accuracy: 0.5250\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 1.0421 - accuracy: 0.7250\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 0.9669 - accuracy: 0.7750\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.9044 - accuracy: 0.8250\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.8551 - accuracy: 0.8250\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 103ms/step - loss: 0.8087 - accuracy: 0.8250\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 0.7672 - accuracy: 0.8250\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.7331 - accuracy: 0.9000\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.7013 - accuracy: 0.9000\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.6707 - accuracy: 0.9000\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 0.6391 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.6170 - accuracy: 0.9000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2435 - accuracy: 0.5926\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 46ms/step - loss: 2.0223 - accuracy: 0.1522\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.3751 - accuracy: 0.4565\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.8998 - accuracy: 0.7826\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.6788 - accuracy: 0.7609\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.4168 - accuracy: 0.9130\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.2865 - accuracy: 0.9348\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.1752 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 0.1284 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.0828 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.0603 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.3815 - accuracy: 0.3810\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 257ms/step - loss: 1.8092 - accuracy: 0.3261\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 1.5031 - accuracy: 0.3478\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 1.3484 - accuracy: 0.3913\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 1.2144 - accuracy: 0.5217\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 151ms/step - loss: 1.1164 - accuracy: 0.6304\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 158ms/step - loss: 1.0416 - accuracy: 0.7174\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.9687 - accuracy: 0.7174\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.9249 - accuracy: 0.7391\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.8741 - accuracy: 0.8043\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 151ms/step - loss: 0.8361 - accuracy: 0.8261\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.8024 - accuracy: 0.8478\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.7729 - accuracy: 0.8696\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 0.7472 - accuracy: 0.8696\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.7181 - accuracy: 0.8696\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 0.6936 - accuracy: 0.8696\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.9072 - accuracy: 0.7143\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 49ms/step - loss: 2.1872 - accuracy: 0.3396\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 29ms/step - loss: 1.6799 - accuracy: 0.5283\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 1.0039 - accuracy: 0.5849\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.7110 - accuracy: 0.7736\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.5297 - accuracy: 0.8491\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 28ms/step - loss: 0.3907 - accuracy: 0.9245\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.2908 - accuracy: 0.9623\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 25ms/step - loss: 0.2030 - accuracy: 0.9811\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1437 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.0989 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0777 - accuracy: 0.5714\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 313ms/step - loss: 1.9425 - accuracy: 0.3396\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 1.6143 - accuracy: 0.3396\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.4181 - accuracy: 0.3396\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 1.2676 - accuracy: 0.3396\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 203ms/step - loss: 1.1522 - accuracy: 0.4528\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 1.0749 - accuracy: 0.6038\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 1.0027 - accuracy: 0.7170\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.9536 - accuracy: 0.8113\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.9136 - accuracy: 0.8113\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 0.8772 - accuracy: 0.8113\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.8440 - accuracy: 0.8302\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.8087 - accuracy: 0.8491\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 0.7822 - accuracy: 0.8491\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 0.7543 - accuracy: 0.8491\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 216ms/step - loss: 0.7311 - accuracy: 0.8868\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.9403 - accuracy: 0.7143\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 21\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.9235 - accuracy: 0.0769\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3380 - accuracy: 0.4615\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1004 - accuracy: 0.5385\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7893 - accuracy: 0.6154\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.3730 - accuracy: 1.0000\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2433 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.1507 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1086 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0632 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0507 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 9ms/step - loss: 1.5696 - accuracy: 0.4630\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.7127 - accuracy: 0.3846\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4155 - accuracy: 0.3846\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2344 - accuracy: 0.4615\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1606 - accuracy: 0.6923\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.0834 - accuracy: 0.6923\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0352 - accuracy: 0.7692\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9964 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9642 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9439 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9341 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9037 - accuracy: 0.7692\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8893 - accuracy: 0.7692\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8669 - accuracy: 0.7692\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8489 - accuracy: 0.7692\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8259 - accuracy: 0.7692\n",
            "2/2 [==============================] - 0s 82ms/step - loss: 1.6002 - accuracy: 0.4259\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.9786 - accuracy: 0.2500\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2991 - accuracy: 0.5500\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9964 - accuracy: 0.6000\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.6067 - accuracy: 0.9000\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.4231 - accuracy: 0.9500\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3136 - accuracy: 0.9500\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1952 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1314 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.0833 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0577 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.4728 - accuracy: 0.4681\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.6943 - accuracy: 0.3000\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4036 - accuracy: 0.3000\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2386 - accuracy: 0.5500\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1293 - accuracy: 0.7500\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0685 - accuracy: 0.7500\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0225 - accuracy: 0.7500\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.9759 - accuracy: 0.7500\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.9471 - accuracy: 0.7500\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9139 - accuracy: 0.7500\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8875 - accuracy: 0.7500\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8681 - accuracy: 0.8500\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8447 - accuracy: 0.8500\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8322 - accuracy: 0.8500\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8135 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.7968 - accuracy: 0.9000\n",
            "2/2 [==============================] - 0s 59ms/step - loss: 1.3901 - accuracy: 0.5532\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.9826 - accuracy: 0.2308\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.2012 - accuracy: 0.3462\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2642 - accuracy: 0.4615\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9317 - accuracy: 0.7692\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7536 - accuracy: 0.8462\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.5957 - accuracy: 0.8846\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.3968 - accuracy: 0.9615\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2482 - accuracy: 0.9615\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1916 - accuracy: 0.9615\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1704 - accuracy: 0.9615\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.4225 - accuracy: 0.4878\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.9360 - accuracy: 0.1538\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5911 - accuracy: 0.1538\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.3716 - accuracy: 0.8077\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2370 - accuracy: 0.8077\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1397 - accuracy: 0.8077\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0780 - accuracy: 0.8077\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0100 - accuracy: 0.8077\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9570 - accuracy: 0.8077\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9247 - accuracy: 0.8077\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8933 - accuracy: 0.8077\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8629 - accuracy: 0.8462\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.8493 - accuracy: 0.9231\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8137 - accuracy: 0.9231\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7924 - accuracy: 0.9231\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7652 - accuracy: 0.9231\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.2832 - accuracy: 0.6098\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 2.1990 - accuracy: 0.0909\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 2.3417 - accuracy: 0.3333\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.8852 - accuracy: 0.3333\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.3397 - accuracy: 0.4848\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.0280 - accuracy: 0.6061\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.7461 - accuracy: 0.6970\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.5992 - accuracy: 0.8788\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.5311 - accuracy: 0.8788\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.3546 - accuracy: 0.9697\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.2565 - accuracy: 0.9697\n",
            "2/2 [==============================] - 0s 3ms/step - loss: 1.3520 - accuracy: 0.5294\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - ETA: 0s - loss: 1.9589 - accuracy: 0.1212WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.117914). Check your callbacks.\n",
            "2/2 [==============================] - 0s 154ms/step - loss: 1.9589 - accuracy: 0.1212\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.4993 - accuracy: 0.6364\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.3929 - accuracy: 0.4545\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.3099 - accuracy: 0.4242\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.2451 - accuracy: 0.4848\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.1812 - accuracy: 0.5758\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.1319 - accuracy: 0.6364\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.0942 - accuracy: 0.6364\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.0602 - accuracy: 0.6364\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.0281 - accuracy: 0.6364\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.0055 - accuracy: 0.6667\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 0.9806 - accuracy: 0.6364\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 0.9446 - accuracy: 0.6667\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.9301 - accuracy: 0.6667\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.9085 - accuracy: 0.6667\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.1733 - accuracy: 0.5882\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 2.2185 - accuracy: 0.1500\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.3359 - accuracy: 0.4250\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.0485 - accuracy: 0.6250\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.6351 - accuracy: 0.9000\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.5652 - accuracy: 0.8250\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.4162 - accuracy: 0.9000\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.3073 - accuracy: 0.9750\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2239 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1590 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 11ms/step - loss: 0.0986 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.3388 - accuracy: 0.5185\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 218ms/step - loss: 1.9481 - accuracy: 0.1250\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.5808 - accuracy: 0.6000\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.4200 - accuracy: 0.6500\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 106ms/step - loss: 1.2819 - accuracy: 0.7750\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 1.1806 - accuracy: 0.8250\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.0953 - accuracy: 0.8250\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.0307 - accuracy: 0.8500\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 0.9662 - accuracy: 0.9000\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.9110 - accuracy: 0.9000\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 0.8608 - accuracy: 0.9000\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.8232 - accuracy: 0.9000\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 103ms/step - loss: 0.7869 - accuracy: 0.9000\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.7515 - accuracy: 0.9000\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 0.7217 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.6951 - accuracy: 0.9000\n",
            "1/1 [==============================] - 0s 2ms/step - loss: 1.2281 - accuracy: 0.5556\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 47ms/step - loss: 2.1571 - accuracy: 0.0870\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.2786 - accuracy: 0.4783\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 0.9418 - accuracy: 0.6304\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.6577 - accuracy: 0.7826\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.5278 - accuracy: 0.8913\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.3643 - accuracy: 0.9783\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 0.2255 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.1605 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.1129 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0907 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.3464 - accuracy: 0.5238\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 265ms/step - loss: 1.8002 - accuracy: 0.2826\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 154ms/step - loss: 1.4802 - accuracy: 0.3261\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 1.3266 - accuracy: 0.4348\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 1.2269 - accuracy: 0.5000\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.1433 - accuracy: 0.6739\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.0711 - accuracy: 0.8043\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 1.0221 - accuracy: 0.8261\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.9704 - accuracy: 0.8478\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 150ms/step - loss: 0.9289 - accuracy: 0.8478\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 151ms/step - loss: 0.8902 - accuracy: 0.8478\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 151ms/step - loss: 0.8500 - accuracy: 0.8696\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.8150 - accuracy: 0.8696\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.7805 - accuracy: 0.8696\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.7484 - accuracy: 0.8696\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.7266 - accuracy: 0.8696\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0947 - accuracy: 0.6667\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 55ms/step - loss: 2.4328 - accuracy: 0.1509\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 1.2321 - accuracy: 0.5283\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 1.0083 - accuracy: 0.7358\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.7757 - accuracy: 0.7170\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.5973 - accuracy: 0.8302\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.3798 - accuracy: 0.9434\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 31ms/step - loss: 0.2595 - accuracy: 0.9811\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1774 - accuracy: 0.9623\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 27ms/step - loss: 0.1286 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0954 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0497 - accuracy: 0.5714\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 317ms/step - loss: 2.0734 - accuracy: 0.0943\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 1.6213 - accuracy: 0.3962\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 1.4398 - accuracy: 0.5660\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 1.2905 - accuracy: 0.6038\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 216ms/step - loss: 1.1899 - accuracy: 0.6604\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 1.1037 - accuracy: 0.8113\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 213ms/step - loss: 1.0294 - accuracy: 0.8679\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 0.9665 - accuracy: 0.8679\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 0.9238 - accuracy: 0.8868\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 0.8778 - accuracy: 0.8868\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 210ms/step - loss: 0.8397 - accuracy: 0.8868\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 0.8060 - accuracy: 0.8868\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 0.7728 - accuracy: 0.8868\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 210ms/step - loss: 0.7466 - accuracy: 0.8868\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.7151 - accuracy: 0.8868\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.9109 - accuracy: 0.7143\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 22\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 3.0288 - accuracy: 0.0769\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0469 - accuracy: 0.6923\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.9350 - accuracy: 0.6154\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5432 - accuracy: 0.8462\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.3190 - accuracy: 0.9231\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1737 - accuracy: 0.9231\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1518 - accuracy: 0.9231\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0815 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0517 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0403 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 9ms/step - loss: 2.2497 - accuracy: 0.3889\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.7622 - accuracy: 0.3846\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3465 - accuracy: 0.3846\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1500 - accuracy: 0.6154\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0419 - accuracy: 0.7692\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9558 - accuracy: 0.7692\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.9098 - accuracy: 0.7692\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8623 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8358 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8084 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.7820 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.7570 - accuracy: 0.8462\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.7416 - accuracy: 0.8462\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7252 - accuracy: 0.8462\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7007 - accuracy: 0.9231\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6812 - accuracy: 0.9231\n",
            "2/2 [==============================] - 0s 84ms/step - loss: 1.4543 - accuracy: 0.4815\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.0187 - accuracy: 0.1500\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0850 - accuracy: 0.5500\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8341 - accuracy: 0.7500\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5460 - accuracy: 0.9500\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.4271 - accuracy: 0.9500\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2706 - accuracy: 0.9500\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1630 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.1292 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.0779 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0420 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.5611 - accuracy: 0.4468\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.9911 - accuracy: 0.0500\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6958 - accuracy: 0.3500\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5371 - accuracy: 0.5000\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.4417 - accuracy: 0.8000\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.3468 - accuracy: 0.8000\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.2684 - accuracy: 0.8000\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2134 - accuracy: 0.8000\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1750 - accuracy: 0.8000\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1315 - accuracy: 0.8000\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1072 - accuracy: 0.8000\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0696 - accuracy: 0.8000\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0361 - accuracy: 0.8000\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0159 - accuracy: 0.8000\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.9835 - accuracy: 0.8000\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9591 - accuracy: 0.8000\n",
            "2/2 [==============================] - 0s 57ms/step - loss: 1.3716 - accuracy: 0.5532\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.3624 - accuracy: 0.1154\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5537 - accuracy: 0.3462\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1510 - accuracy: 0.6154\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0555 - accuracy: 0.6154\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6202 - accuracy: 0.8462\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.4377 - accuracy: 0.9231\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3383 - accuracy: 0.9615\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2489 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1936 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1356 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.4209 - accuracy: 0.4878\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.7814 - accuracy: 0.3462\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4978 - accuracy: 0.5385\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3113 - accuracy: 0.5769\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.1869 - accuracy: 0.6538\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1242 - accuracy: 0.6538\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0468 - accuracy: 0.6538\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0039 - accuracy: 0.6538\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9661 - accuracy: 0.6538\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9306 - accuracy: 0.6538\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9011 - accuracy: 0.6538\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8738 - accuracy: 0.6538\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8479 - accuracy: 0.6538\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8220 - accuracy: 0.6538\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.8015 - accuracy: 0.6538\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.7791 - accuracy: 0.6923\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.3603 - accuracy: 0.4878\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 2.9195 - accuracy: 0.0606\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 2.0203 - accuracy: 0.3333\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 2.0263 - accuracy: 0.3333\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.4993 - accuracy: 0.5152\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.1381 - accuracy: 0.5455\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.8032 - accuracy: 0.7576\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.7521 - accuracy: 0.8485\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.6787 - accuracy: 0.9091\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.5209 - accuracy: 0.9091\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.3811 - accuracy: 0.9091\n",
            "2/2 [==============================] - 0s 3ms/step - loss: 1.6299 - accuracy: 0.6176\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - ETA: 0s - loss: 2.1791 - accuracy: 0.0303WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.113268). Check your callbacks.\n",
            "2/2 [==============================] - 0s 150ms/step - loss: 2.1791 - accuracy: 0.0303\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.7634 - accuracy: 0.1818\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.6414 - accuracy: 0.3939\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.5444 - accuracy: 0.6364\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.4582 - accuracy: 0.6667\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.3923 - accuracy: 0.7576\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.3502 - accuracy: 0.6970\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.2818 - accuracy: 0.7576\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.2115 - accuracy: 0.8485\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.1599 - accuracy: 0.8485\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.1034 - accuracy: 0.8182\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.0570 - accuracy: 0.8485\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.0172 - accuracy: 0.8485\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 0.9745 - accuracy: 0.9091\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.9377 - accuracy: 0.9091\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.3269 - accuracy: 0.5882\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 42ms/step - loss: 2.2661 - accuracy: 0.2250\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.7474 - accuracy: 0.4250\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.2212 - accuracy: 0.6000\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.8521 - accuracy: 0.6500\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.6988 - accuracy: 0.8000\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.5481 - accuracy: 0.8750\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.3534 - accuracy: 0.9500\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.2782 - accuracy: 0.9500\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2147 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1299 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1198 - accuracy: 0.6296\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 220ms/step - loss: 1.8698 - accuracy: 0.1250\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 1.5233 - accuracy: 0.4000\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.3733 - accuracy: 0.5750\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 1.2685 - accuracy: 0.7000\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.1731 - accuracy: 0.7750\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.1057 - accuracy: 0.8500\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 103ms/step - loss: 1.0352 - accuracy: 0.8500\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.9826 - accuracy: 0.8750\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 0.9391 - accuracy: 0.9000\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.8979 - accuracy: 0.9000\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.8648 - accuracy: 0.9000\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 0.8322 - accuracy: 0.9000\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.8031 - accuracy: 0.9000\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.7772 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.7433 - accuracy: 0.9000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.3610 - accuracy: 0.5185\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 43ms/step - loss: 2.3979 - accuracy: 0.2609\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.9089 - accuracy: 0.3913\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.1726 - accuracy: 0.4348\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.7734 - accuracy: 0.6739\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.5432 - accuracy: 0.8043\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 0.5059 - accuracy: 0.8478\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.4431 - accuracy: 0.8478\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 0.2915 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.2189 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1575 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1842 - accuracy: 0.4762\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 273ms/step - loss: 1.7669 - accuracy: 0.3261\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 151ms/step - loss: 1.5204 - accuracy: 0.3261\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 153ms/step - loss: 1.3688 - accuracy: 0.3696\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 159ms/step - loss: 1.2477 - accuracy: 0.5000\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 1.1406 - accuracy: 0.7174\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.0585 - accuracy: 0.7609\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.9986 - accuracy: 0.7826\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.9389 - accuracy: 0.7826\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.8878 - accuracy: 0.7826\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.8533 - accuracy: 0.8696\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 150ms/step - loss: 0.8081 - accuracy: 0.8696\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 0.7729 - accuracy: 0.8696\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.7368 - accuracy: 0.8696\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.7088 - accuracy: 0.8696\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.6829 - accuracy: 0.8696\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1583 - accuracy: 0.5714\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 53ms/step - loss: 2.2306 - accuracy: 0.1887\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 1.3865 - accuracy: 0.5094\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.8503 - accuracy: 0.7736\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.5993 - accuracy: 0.8302\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.4546 - accuracy: 0.9057\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.2959 - accuracy: 0.9811\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1909 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.1301 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0854 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0629 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.8533 - accuracy: 0.6429\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 316ms/step - loss: 1.9951 - accuracy: 0.1887\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 1.6112 - accuracy: 0.4906\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.4028 - accuracy: 0.5283\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.2495 - accuracy: 0.6226\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.1434 - accuracy: 0.7736\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 1.0585 - accuracy: 0.7925\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 1.0020 - accuracy: 0.7925\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.9342 - accuracy: 0.8113\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.8855 - accuracy: 0.8302\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.8384 - accuracy: 0.8302\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 0.7936 - accuracy: 0.8302\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 0.7484 - accuracy: 0.8302\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 216ms/step - loss: 0.7132 - accuracy: 0.8302\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 0.6792 - accuracy: 0.8302\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 0.6503 - accuracy: 0.9057\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.7945 - accuracy: 0.6429\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 23\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.1270 - accuracy: 0.0769\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4479 - accuracy: 0.3846\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7759 - accuracy: 0.6154\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.4350 - accuracy: 0.9231\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.2979 - accuracy: 0.9231\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.2021 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0978 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0423 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0242 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0179 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 8ms/step - loss: 1.9485 - accuracy: 0.4815\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.0308 - accuracy: 0.0769\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6785 - accuracy: 0.5385\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5011 - accuracy: 0.7692\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.3394 - accuracy: 0.7692\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.2527 - accuracy: 0.7692\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.1871 - accuracy: 0.7692\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.1352 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0932 - accuracy: 0.8462\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0556 - accuracy: 0.8462\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0229 - accuracy: 0.8462\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0015 - accuracy: 0.8462\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9683 - accuracy: 0.8462\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9536 - accuracy: 0.8462\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.9231 - accuracy: 0.8462\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8891 - accuracy: 0.8462\n",
            "2/2 [==============================] - 0s 90ms/step - loss: 1.5500 - accuracy: 0.4259\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.8128 - accuracy: 0.3000\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3064 - accuracy: 0.5000\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7324 - accuracy: 0.7500\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5556 - accuracy: 0.8000\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.3165 - accuracy: 0.9000\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.1661 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.1276 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.0900 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.0610 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.0461 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.8351 - accuracy: 0.1915\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 1.9466 - accuracy: 0.3000\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6471 - accuracy: 0.3500\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5034 - accuracy: 0.4500\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3904 - accuracy: 0.4500\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3127 - accuracy: 0.6500\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2534 - accuracy: 0.7000\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1958 - accuracy: 0.7000\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1505 - accuracy: 0.7000\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1149 - accuracy: 0.7500\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0827 - accuracy: 0.7500\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0446 - accuracy: 0.7500\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.0096 - accuracy: 0.7500\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.9798 - accuracy: 0.7500\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9506 - accuracy: 0.7500\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9180 - accuracy: 0.7500\n",
            "2/2 [==============================] - 0s 57ms/step - loss: 1.1989 - accuracy: 0.5319\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.6698 - accuracy: 0.0000e+00\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4546 - accuracy: 0.4231\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0791 - accuracy: 0.6154\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8533 - accuracy: 0.8077\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.7338 - accuracy: 0.8462\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5343 - accuracy: 0.9231\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.3877 - accuracy: 0.9231\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.3657 - accuracy: 0.8846\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2105 - accuracy: 0.9615\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1551 - accuracy: 0.9615\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.3971 - accuracy: 0.6341\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.0044 - accuracy: 0.1923\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.6038 - accuracy: 0.2308\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4123 - accuracy: 0.6538\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2835 - accuracy: 0.8462\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1872 - accuracy: 0.8846\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1048 - accuracy: 0.8846\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0600 - accuracy: 0.8846\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0111 - accuracy: 0.8846\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.9836 - accuracy: 0.8846\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9446 - accuracy: 0.9231\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9135 - accuracy: 0.9231\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8873 - accuracy: 0.9231\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8568 - accuracy: 0.9231\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8456 - accuracy: 0.9231\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8240 - accuracy: 0.9231\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 1.4112 - accuracy: 0.4878\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 2.5228 - accuracy: 0.1212\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 2.2988 - accuracy: 0.3333\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.6780 - accuracy: 0.3636\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 0.9658 - accuracy: 0.7273\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.0066 - accuracy: 0.6364\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.7288 - accuracy: 0.7576\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.5200 - accuracy: 0.8485\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.4805 - accuracy: 0.8485\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.3463 - accuracy: 0.9697\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.2733 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 4ms/step - loss: 1.5763 - accuracy: 0.5294\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - ETA: 0s - loss: 1.6676 - accuracy: 0.2727WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.118459). Check your callbacks.\n",
            "2/2 [==============================] - 0s 161ms/step - loss: 1.6676 - accuracy: 0.2727\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.4212 - accuracy: 0.4848\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.3056 - accuracy: 0.4848\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.2127 - accuracy: 0.5152\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.1252 - accuracy: 0.5758\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.0577 - accuracy: 0.6667\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 0.9895 - accuracy: 0.6970\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 0.9444 - accuracy: 0.7273\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 0.8981 - accuracy: 0.7879\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 0.8638 - accuracy: 0.7879\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 0.8364 - accuracy: 0.7879\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.8044 - accuracy: 0.7879\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.7872 - accuracy: 0.8182\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 0.7646 - accuracy: 0.8182\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 40ms/step - loss: 0.7466 - accuracy: 0.8182\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.2914 - accuracy: 0.5294\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 41ms/step - loss: 1.9678 - accuracy: 0.2000\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.3819 - accuracy: 0.3750\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.8928 - accuracy: 0.7250\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.7505 - accuracy: 0.7750\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.5609 - accuracy: 0.8750\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.3773 - accuracy: 0.9000\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2603 - accuracy: 0.9750\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1887 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1217 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.0905 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.4647 - accuracy: 0.5556\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.8955 - accuracy: 0.2250\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 1.5254 - accuracy: 0.5000\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.3635 - accuracy: 0.8250\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.2458 - accuracy: 0.7250\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.1359 - accuracy: 0.7500\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 1.0489 - accuracy: 0.7750\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 95ms/step - loss: 0.9695 - accuracy: 0.7750\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.9091 - accuracy: 0.8250\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.8543 - accuracy: 0.8250\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 0.8136 - accuracy: 0.8250\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.7758 - accuracy: 0.8250\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.7345 - accuracy: 0.8250\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 95ms/step - loss: 0.7004 - accuracy: 0.8750\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.6659 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.6341 - accuracy: 0.9000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2771 - accuracy: 0.5185\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 46ms/step - loss: 2.3039 - accuracy: 0.1304\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 1.3772 - accuracy: 0.4348\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 30ms/step - loss: 0.9423 - accuracy: 0.7826\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.6849 - accuracy: 0.8261\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.5631 - accuracy: 0.7826\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.3922 - accuracy: 0.9130\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.2823 - accuracy: 0.9565\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.2037 - accuracy: 0.9565\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1428 - accuracy: 0.9783\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1040 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1591 - accuracy: 0.6190\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 251ms/step - loss: 1.8685 - accuracy: 0.1957\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 143ms/step - loss: 1.5148 - accuracy: 0.4565\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.3819 - accuracy: 0.5870\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 1.2869 - accuracy: 0.5870\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 1.1923 - accuracy: 0.7391\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 1.1015 - accuracy: 0.7826\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 1.0250 - accuracy: 0.8261\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.9862 - accuracy: 0.8043\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.9351 - accuracy: 0.8261\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.8832 - accuracy: 0.8261\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.8543 - accuracy: 0.8261\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.8250 - accuracy: 0.8261\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 142ms/step - loss: 0.8012 - accuracy: 0.8261\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 142ms/step - loss: 0.7635 - accuracy: 0.8261\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.7321 - accuracy: 0.8913\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0776 - accuracy: 0.5714\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 50ms/step - loss: 2.2192 - accuracy: 0.1887\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 1.3207 - accuracy: 0.4906\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 25ms/step - loss: 1.0563 - accuracy: 0.6792\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.7685 - accuracy: 0.7547\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.4999 - accuracy: 0.9245\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.3100 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1929 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.1217 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0897 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0547 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 2ms/step - loss: 0.5913 - accuracy: 0.8571\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 316ms/step - loss: 1.8206 - accuracy: 0.2453\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 215ms/step - loss: 1.5048 - accuracy: 0.5094\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 1.3218 - accuracy: 0.5094\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 1.1895 - accuracy: 0.5094\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 1.1034 - accuracy: 0.5094\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 1.0305 - accuracy: 0.5849\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.9726 - accuracy: 0.7547\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 0.9299 - accuracy: 0.8113\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 0.8888 - accuracy: 0.8113\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 0.8535 - accuracy: 0.8113\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 0.8205 - accuracy: 0.8113\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.7895 - accuracy: 0.8113\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.7612 - accuracy: 0.8491\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.7301 - accuracy: 0.8868\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.6993 - accuracy: 0.8868\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.8202 - accuracy: 0.7857\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 24\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.9427 - accuracy: 0.1538\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2033 - accuracy: 0.4615\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6854 - accuracy: 0.8462\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.4774 - accuracy: 0.9231\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2134 - accuracy: 0.9231\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1372 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0707 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0421 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.0274 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0185 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 8ms/step - loss: 2.1692 - accuracy: 0.4815\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.7702 - accuracy: 0.1538\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.4627 - accuracy: 0.3846\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2967 - accuracy: 0.5385\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1785 - accuracy: 0.5385\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.1059 - accuracy: 0.6154\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0471 - accuracy: 0.7692\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9993 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9588 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.9353 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9051 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8828 - accuracy: 0.7692\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8596 - accuracy: 0.7692\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8411 - accuracy: 0.7692\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8165 - accuracy: 0.7692\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.7965 - accuracy: 0.7692\n",
            "2/2 [==============================] - 0s 86ms/step - loss: 1.5101 - accuracy: 0.4074\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.3892 - accuracy: 0.1000\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5736 - accuracy: 0.3000\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.2115 - accuracy: 0.6500\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.0581 - accuracy: 0.6000\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6914 - accuracy: 0.8500\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5392 - accuracy: 0.9000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3758 - accuracy: 0.9500\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.2885 - accuracy: 0.9500\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1843 - accuracy: 0.9500\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1266 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.4108 - accuracy: 0.4894\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.9715 - accuracy: 0.0500\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6252 - accuracy: 0.5500\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.4823 - accuracy: 0.6000\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.3745 - accuracy: 0.6500\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3122 - accuracy: 0.6000\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2272 - accuracy: 0.7000\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.1818 - accuracy: 0.7500\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1377 - accuracy: 0.7500\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0944 - accuracy: 0.7500\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0608 - accuracy: 0.7500\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0308 - accuracy: 0.7500\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9954 - accuracy: 0.7500\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9686 - accuracy: 0.8000\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.9413 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9132 - accuracy: 0.9000\n",
            "2/2 [==============================] - 0s 56ms/step - loss: 1.2846 - accuracy: 0.5106\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.9331 - accuracy: 0.2308\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.4259 - accuracy: 0.3462\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.0993 - accuracy: 0.6154\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0732 - accuracy: 0.4615\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6903 - accuracy: 0.6923\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3997 - accuracy: 0.9615\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3688 - accuracy: 0.8846\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2933 - accuracy: 0.9231\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1993 - accuracy: 0.9615\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1540 - accuracy: 0.9615\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.4385 - accuracy: 0.5122\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.2121 - accuracy: 0.2308\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.7795 - accuracy: 0.2308\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.5873 - accuracy: 0.2308\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4853 - accuracy: 0.4231\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3885 - accuracy: 0.5769\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3072 - accuracy: 0.6154\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.2450 - accuracy: 0.6538\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1811 - accuracy: 0.6923\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1369 - accuracy: 0.6923\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1045 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0666 - accuracy: 0.7308\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0360 - accuracy: 0.7692\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9980 - accuracy: 0.7692\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9672 - accuracy: 0.8077\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.9363 - accuracy: 0.8077\n",
            "2/2 [==============================] - 0s 42ms/step - loss: 1.2999 - accuracy: 0.4878\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 31ms/step - loss: 2.0411 - accuracy: 0.2121\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.6170 - accuracy: 0.3333\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.8955 - accuracy: 0.3939\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.3034 - accuracy: 0.5152\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.7952 - accuracy: 0.7879\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.7733 - accuracy: 0.7273\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.5511 - accuracy: 0.8182\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 0.3422 - accuracy: 0.9697\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.2538 - accuracy: 0.9697\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.2426 - accuracy: 0.9697\n",
            "2/2 [==============================] - 0s 4ms/step - loss: 1.4066 - accuracy: 0.6176\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - ETA: 0s - loss: 2.1773 - accuracy: 0.1818WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.104955). Check your callbacks.\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 2.1773 - accuracy: 0.1818\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.7903 - accuracy: 0.1818\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.6750 - accuracy: 0.1818\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.6101 - accuracy: 0.2121\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.5513 - accuracy: 0.5758\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.4858 - accuracy: 0.7273\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.4264 - accuracy: 0.7576\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.3737 - accuracy: 0.7576\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.3263 - accuracy: 0.7879\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.2751 - accuracy: 0.7879\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.2473 - accuracy: 0.8182\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.1932 - accuracy: 0.7879\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.1578 - accuracy: 0.8182\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.1138 - accuracy: 0.8182\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.0853 - accuracy: 0.8182\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.4365 - accuracy: 0.5294\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 2.9788 - accuracy: 0.1250\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.2530 - accuracy: 0.4500\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.0866 - accuracy: 0.7000\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.8934 - accuracy: 0.7500\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.6509 - accuracy: 0.8000\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.5111 - accuracy: 0.8750\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 0.3506 - accuracy: 0.9250\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2564 - accuracy: 0.9250\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1609 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1359 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.4755 - accuracy: 0.5185\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 1.7553 - accuracy: 0.2000\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.4952 - accuracy: 0.2500\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.3393 - accuracy: 0.5500\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.2253 - accuracy: 0.7250\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.1294 - accuracy: 0.7750\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 1.0695 - accuracy: 0.8250\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 1.0024 - accuracy: 0.8250\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.9539 - accuracy: 0.8250\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.9129 - accuracy: 0.8250\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.8688 - accuracy: 0.8250\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.8406 - accuracy: 0.8250\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.8033 - accuracy: 0.8250\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.7751 - accuracy: 0.8250\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.7389 - accuracy: 0.8250\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 0.7060 - accuracy: 0.8500\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1956 - accuracy: 0.5556\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 42ms/step - loss: 3.0165 - accuracy: 0.2391\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.6313 - accuracy: 0.4130\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 1.1362 - accuracy: 0.6087\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.8678 - accuracy: 0.7609\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.7190 - accuracy: 0.7609\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.5037 - accuracy: 0.9130\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.3651 - accuracy: 0.9565\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.3401 - accuracy: 0.8696\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.2097 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1375 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.3376 - accuracy: 0.3810\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 259ms/step - loss: 1.8557 - accuracy: 0.2174\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 158ms/step - loss: 1.5829 - accuracy: 0.2174\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 1.4220 - accuracy: 0.3913\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.3170 - accuracy: 0.6304\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.2212 - accuracy: 0.7174\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 142ms/step - loss: 1.1444 - accuracy: 0.7174\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.0897 - accuracy: 0.7391\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.0183 - accuracy: 0.7609\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.9716 - accuracy: 0.7826\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.9235 - accuracy: 0.8261\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 0.8767 - accuracy: 0.8696\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.8416 - accuracy: 0.8696\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.8042 - accuracy: 0.8696\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.7753 - accuracy: 0.8696\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 143ms/step - loss: 0.7490 - accuracy: 0.8696\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1534 - accuracy: 0.6190\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 54ms/step - loss: 1.9079 - accuracy: 0.3019\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 1.2392 - accuracy: 0.4906\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.8806 - accuracy: 0.7547\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.7257 - accuracy: 0.7736\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.4509 - accuracy: 0.9623\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.3485 - accuracy: 0.9245\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.2240 - accuracy: 0.9623\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.1595 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.1171 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0676 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.7352 - accuracy: 0.7143\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 310ms/step - loss: 1.8066 - accuracy: 0.2075\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 203ms/step - loss: 1.4610 - accuracy: 0.4906\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 1.2786 - accuracy: 0.6792\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 1.1502 - accuracy: 0.7925\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 1.0478 - accuracy: 0.8491\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 0.9769 - accuracy: 0.8679\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 203ms/step - loss: 0.9080 - accuracy: 0.8679\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 224ms/step - loss: 0.8666 - accuracy: 0.9057\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 0.8198 - accuracy: 0.9057\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 0.7827 - accuracy: 0.9245\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 0.7424 - accuracy: 0.9245\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 201ms/step - loss: 0.7157 - accuracy: 0.9245\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 200ms/step - loss: 0.6837 - accuracy: 0.9245\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 203ms/step - loss: 0.6541 - accuracy: 0.9245\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 201ms/step - loss: 0.6306 - accuracy: 0.9245\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.9528 - accuracy: 0.7143\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 25\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.8890 - accuracy: 0.2308\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6279 - accuracy: 0.6154\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2206 - accuracy: 0.5385\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7884 - accuracy: 0.7692\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5457 - accuracy: 0.8462\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3580 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2166 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1133 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0917 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0670 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 8ms/step - loss: 1.6640 - accuracy: 0.5185\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.0073 - accuracy: 0.1538\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - ETA: 0s - loss: 1.6704 - accuracy: 0.3077WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.263716). Check your callbacks.\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 1.6704 - accuracy: 0.3077\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 1.4951 - accuracy: 0.6923\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.3830 - accuracy: 0.6923\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 1.2990 - accuracy: 0.6923\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2452 - accuracy: 0.6923\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 1.2083 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1633 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1333 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1063 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.0786 - accuracy: 0.7692\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0601 - accuracy: 0.7692\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0338 - accuracy: 0.7692\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0070 - accuracy: 0.7692\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9850 - accuracy: 0.7692\n",
            "2/2 [==============================] - 0s 81ms/step - loss: 1.4859 - accuracy: 0.4444\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.9300 - accuracy: 0.3500\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5006 - accuracy: 0.4000\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9390 - accuracy: 0.7000\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5697 - accuracy: 0.8500\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3387 - accuracy: 0.9500\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2652 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1336 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1011 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0511 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0417 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.5111 - accuracy: 0.5106\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.7212 - accuracy: 0.2500\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4270 - accuracy: 0.5500\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.2704 - accuracy: 0.8500\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.1550 - accuracy: 0.8500\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0872 - accuracy: 0.8500\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0239 - accuracy: 0.8500\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9851 - accuracy: 0.8500\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9487 - accuracy: 0.9000\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9092 - accuracy: 0.9000\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8783 - accuracy: 0.9000\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8510 - accuracy: 0.9000\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8326 - accuracy: 0.9000\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.8200 - accuracy: 0.9000\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.7895 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.7726 - accuracy: 0.9000\n",
            "2/2 [==============================] - 0s 56ms/step - loss: 1.2761 - accuracy: 0.5957\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.2434 - accuracy: 0.1538\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3788 - accuracy: 0.4615\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4749 - accuracy: 0.3846\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8786 - accuracy: 0.7692\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.6899 - accuracy: 0.6923\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5021 - accuracy: 0.8462\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.3629 - accuracy: 0.9231\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.2441 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.2075 - accuracy: 0.9615\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1570 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.6567 - accuracy: 0.4146\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.9572 - accuracy: 0.0385\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6029 - accuracy: 0.4231\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4368 - accuracy: 0.4615\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3259 - accuracy: 0.4615\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2171 - accuracy: 0.5000\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1401 - accuracy: 0.6154\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0848 - accuracy: 0.7308\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0424 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0002 - accuracy: 0.8077\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9589 - accuracy: 0.8462\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9375 - accuracy: 0.8462\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9147 - accuracy: 0.8462\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.8842 - accuracy: 0.8462\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8530 - accuracy: 0.8462\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8347 - accuracy: 0.8462\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.3385 - accuracy: 0.4878\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 27ms/step - loss: 1.9228 - accuracy: 0.3030\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 2.3684 - accuracy: 0.3333\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.9065 - accuracy: 0.3333\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.1305 - accuracy: 0.6061\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.9270 - accuracy: 0.6364\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.8129 - accuracy: 0.6667\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.6848 - accuracy: 0.8788\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.5836 - accuracy: 0.8788\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.4538 - accuracy: 0.9394\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.3701 - accuracy: 0.9394\n",
            "2/2 [==============================] - 0s 3ms/step - loss: 1.4682 - accuracy: 0.5294\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 125ms/step - loss: 2.2240 - accuracy: 0.0303\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.8678 - accuracy: 0.0303\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.7461 - accuracy: 0.0606\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.6232 - accuracy: 0.2121\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.5246 - accuracy: 0.6364\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.4645 - accuracy: 0.6667\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.3788 - accuracy: 0.6667\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.3040 - accuracy: 0.6667\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.2416 - accuracy: 0.6970\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.1793 - accuracy: 0.7576\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.1336 - accuracy: 0.7879\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.0903 - accuracy: 0.7879\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.0591 - accuracy: 0.8182\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.0159 - accuracy: 0.8788\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.9772 - accuracy: 0.8788\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.3372 - accuracy: 0.5294\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 40ms/step - loss: 2.4034 - accuracy: 0.1750\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 11ms/step - loss: 1.9203 - accuracy: 0.4000\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.0968 - accuracy: 0.6750\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.8944 - accuracy: 0.8000\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.6699 - accuracy: 0.8000\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.5529 - accuracy: 0.8250\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.3946 - accuracy: 0.8750\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2929 - accuracy: 0.9750\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1964 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1683 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 2ms/step - loss: 1.7356 - accuracy: 0.5556\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 203ms/step - loss: 2.1145 - accuracy: 0.0500\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.6282 - accuracy: 0.4000\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.4663 - accuracy: 0.4250\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 1.3582 - accuracy: 0.5000\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.2797 - accuracy: 0.5250\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 95ms/step - loss: 1.2032 - accuracy: 0.5500\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 1.1365 - accuracy: 0.6750\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.0738 - accuracy: 0.7000\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.0200 - accuracy: 0.8000\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 0.9661 - accuracy: 0.8750\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.9299 - accuracy: 0.8750\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.8856 - accuracy: 0.8750\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.8489 - accuracy: 0.9500\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 103ms/step - loss: 0.8213 - accuracy: 0.9750\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.7905 - accuracy: 0.9750\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2655 - accuracy: 0.5556\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 42ms/step - loss: 2.6001 - accuracy: 0.2174\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 22ms/step - loss: 1.3849 - accuracy: 0.4130\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.0246 - accuracy: 0.7391\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.7355 - accuracy: 0.8696\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.6263 - accuracy: 0.7826\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.4699 - accuracy: 0.8913\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.3848 - accuracy: 0.9130\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.2311 - accuracy: 0.9783\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1825 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1110 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.3975 - accuracy: 0.4286\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 254ms/step - loss: 2.1457 - accuracy: 0.0435\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 1.7709 - accuracy: 0.2174\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.6196 - accuracy: 0.5000\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.4904 - accuracy: 0.6304\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 1.4041 - accuracy: 0.7174\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 1.3257 - accuracy: 0.7391\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 150ms/step - loss: 1.2570 - accuracy: 0.7391\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 1.1862 - accuracy: 0.7609\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 143ms/step - loss: 1.1302 - accuracy: 0.7609\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 143ms/step - loss: 1.0745 - accuracy: 0.7826\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.0181 - accuracy: 0.7826\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.9673 - accuracy: 0.8043\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 142ms/step - loss: 0.9227 - accuracy: 0.8043\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.8855 - accuracy: 0.8043\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.8487 - accuracy: 0.8261\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1169 - accuracy: 0.6190\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 50ms/step - loss: 1.7214 - accuracy: 0.3396\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 1.2193 - accuracy: 0.4340\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.8183 - accuracy: 0.6981\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.5068 - accuracy: 0.9434\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.3024 - accuracy: 1.0000\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.2178 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1102 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0779 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0524 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0382 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.9453 - accuracy: 0.5000\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 311ms/step - loss: 1.6942 - accuracy: 0.2453\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.4278 - accuracy: 0.4340\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 1.2914 - accuracy: 0.5094\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.1843 - accuracy: 0.6792\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 1.0817 - accuracy: 0.6981\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 0.9881 - accuracy: 0.7547\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 0.9308 - accuracy: 0.7736\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.8789 - accuracy: 0.7736\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 200ms/step - loss: 0.8354 - accuracy: 0.7736\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.7858 - accuracy: 0.7925\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 0.7509 - accuracy: 0.8113\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 203ms/step - loss: 0.7211 - accuracy: 0.8113\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 0.6837 - accuracy: 0.8113\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 203ms/step - loss: 0.6519 - accuracy: 0.8113\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 0.6206 - accuracy: 0.8491\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.8926 - accuracy: 0.7143\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 26\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 3.0962 - accuracy: 0.0769\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6617 - accuracy: 0.2308\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1626 - accuracy: 0.6923\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9388 - accuracy: 0.7692\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6403 - accuracy: 0.9231\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.4314 - accuracy: 0.9231\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3711 - accuracy: 0.9231\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2658 - accuracy: 0.9231\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.1874 - accuracy: 0.9231\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1256 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.6330 - accuracy: 0.4630\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.3074 - accuracy: 0.1538\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.9028 - accuracy: 0.1538\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.7001 - accuracy: 0.1538\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.5780 - accuracy: 0.1538\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.4732 - accuracy: 0.2308\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4010 - accuracy: 0.3077\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3427 - accuracy: 0.3846\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2930 - accuracy: 0.6923\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2594 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2301 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1944 - accuracy: 0.7692\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1581 - accuracy: 0.7692\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1284 - accuracy: 0.7692\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0923 - accuracy: 0.7692\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0598 - accuracy: 0.7692\n",
            "2/2 [==============================] - 0s 83ms/step - loss: 1.4508 - accuracy: 0.4074\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.8871 - accuracy: 0.1000\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2613 - accuracy: 0.5000\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9077 - accuracy: 0.7000\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5603 - accuracy: 0.8500\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3647 - accuracy: 1.0000\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.2540 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1528 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0976 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.0620 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0472 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.5008 - accuracy: 0.4468\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.7732 - accuracy: 0.3000\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4572 - accuracy: 0.4500\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3204 - accuracy: 0.5500\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2123 - accuracy: 0.5500\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1497 - accuracy: 0.5500\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0967 - accuracy: 0.5500\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0525 - accuracy: 0.5500\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0124 - accuracy: 0.5500\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.9778 - accuracy: 0.6500\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9466 - accuracy: 0.7500\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9141 - accuracy: 0.8000\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8892 - accuracy: 0.8000\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.8618 - accuracy: 0.8500\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8408 - accuracy: 0.8500\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8184 - accuracy: 0.8500\n",
            "2/2 [==============================] - 0s 61ms/step - loss: 1.2181 - accuracy: 0.5532\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 3.2109 - accuracy: 0.0385\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4120 - accuracy: 0.4615\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0073 - accuracy: 0.5769\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9610 - accuracy: 0.6154\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.6479 - accuracy: 0.7692\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.4882 - accuracy: 0.9231\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.4013 - accuracy: 0.9231\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3495 - accuracy: 0.9615\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2687 - accuracy: 0.9615\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2089 - accuracy: 0.9615\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.9560 - accuracy: 0.3659\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.0475 - accuracy: 0.2308\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6849 - accuracy: 0.2308\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5334 - accuracy: 0.2692\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4141 - accuracy: 0.3077\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3380 - accuracy: 0.3462\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.2583 - accuracy: 0.5769\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1981 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1420 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1080 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0668 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0445 - accuracy: 0.7692\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 1.0097 - accuracy: 0.8077\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.9822 - accuracy: 0.8462\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9603 - accuracy: 0.8846\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9369 - accuracy: 0.8846\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.4217 - accuracy: 0.5122\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 30ms/step - loss: 2.2464 - accuracy: 0.1818\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.7157 - accuracy: 0.3333\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.8657 - accuracy: 0.3333\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.1836 - accuracy: 0.4242\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.9066 - accuracy: 0.6667\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.8887 - accuracy: 0.6970\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.7212 - accuracy: 0.8485\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.5273 - accuracy: 0.9091\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.4670 - accuracy: 0.9394\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.3996 - accuracy: 0.9394\n",
            "2/2 [==============================] - 0s 3ms/step - loss: 1.3991 - accuracy: 0.5294\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 124ms/step - loss: 2.2880 - accuracy: 0.1515\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.8730 - accuracy: 0.3636\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.7279 - accuracy: 0.6061\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.6354 - accuracy: 0.6364\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.5585 - accuracy: 0.6061\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.4899 - accuracy: 0.6061\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.4292 - accuracy: 0.6364\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.3645 - accuracy: 0.6364\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.3088 - accuracy: 0.6364\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.2664 - accuracy: 0.6364\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.2134 - accuracy: 0.6364\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.1764 - accuracy: 0.6667\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.1418 - accuracy: 0.6364\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.1147 - accuracy: 0.6364\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.0768 - accuracy: 0.6667\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.4269 - accuracy: 0.5882\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 2.7044 - accuracy: 0.1250\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.6442 - accuracy: 0.3750\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.1544 - accuracy: 0.7000\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.8967 - accuracy: 0.7250\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.6853 - accuracy: 0.7250\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.5582 - accuracy: 0.7750\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.4376 - accuracy: 0.9250\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.3263 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 11ms/step - loss: 0.2677 - accuracy: 0.9750\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2035 - accuracy: 0.9750\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.6097 - accuracy: 0.5556\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 192ms/step - loss: 2.1675 - accuracy: 0.0750\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 95ms/step - loss: 1.7773 - accuracy: 0.0750\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.5833 - accuracy: 0.2000\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.4353 - accuracy: 0.4750\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.3241 - accuracy: 0.6250\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 1.2241 - accuracy: 0.8750\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 1.1409 - accuracy: 0.8500\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 1.0641 - accuracy: 0.8500\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.0081 - accuracy: 0.8750\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.9601 - accuracy: 0.8750\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.9168 - accuracy: 0.9000\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 103ms/step - loss: 0.8700 - accuracy: 0.9000\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 0.8307 - accuracy: 0.9000\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.7910 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.7596 - accuracy: 0.9000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2922 - accuracy: 0.5556\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 46ms/step - loss: 2.2776 - accuracy: 0.1957\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.7190 - accuracy: 0.4130\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.1047 - accuracy: 0.5217\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.8402 - accuracy: 0.6957\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.5926 - accuracy: 0.8043\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.4984 - accuracy: 0.8913\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 0.4359 - accuracy: 0.9565\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 0.2802 - accuracy: 0.9783\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1756 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1497 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2364 - accuracy: 0.4762\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "2/2 [==============================] - 1s 250ms/step - loss: 2.0279 - accuracy: 0.1957\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.6288 - accuracy: 0.2391\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 142ms/step - loss: 1.4503 - accuracy: 0.5435\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.3523 - accuracy: 0.5870\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 1.2544 - accuracy: 0.7174\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 151ms/step - loss: 1.1650 - accuracy: 0.7826\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 1.1062 - accuracy: 0.7826\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 143ms/step - loss: 1.0508 - accuracy: 0.7826\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 142ms/step - loss: 0.9892 - accuracy: 0.7826\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.9522 - accuracy: 0.7826\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.9073 - accuracy: 0.7826\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.8755 - accuracy: 0.7826\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.8481 - accuracy: 0.8261\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 142ms/step - loss: 0.8153 - accuracy: 0.8696\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.7809 - accuracy: 0.8696\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2539 - accuracy: 0.6190\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 49ms/step - loss: 2.1178 - accuracy: 0.1698\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 1.4808 - accuracy: 0.4340\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 1.1604 - accuracy: 0.7547\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.9577 - accuracy: 0.8113\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.7269 - accuracy: 0.7925\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.4438 - accuracy: 0.9245\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.3024 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.1947 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 28ms/step - loss: 0.1417 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.1266 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.9623 - accuracy: 0.5714\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 312ms/step - loss: 2.4682 - accuracy: 0.1132\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 1.9182 - accuracy: 0.3019\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 1.7278 - accuracy: 0.3019\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 1.5783 - accuracy: 0.2830\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 1.4668 - accuracy: 0.3019\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 1.3638 - accuracy: 0.4906\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 1.2834 - accuracy: 0.6226\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 1.2024 - accuracy: 0.6981\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 1.1378 - accuracy: 0.7547\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 1.0733 - accuracy: 0.8491\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 1.0244 - accuracy: 0.8491\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 0.9785 - accuracy: 0.8491\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 0.9403 - accuracy: 0.8868\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 0.8962 - accuracy: 0.8679\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 0.8652 - accuracy: 0.8679\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1609 - accuracy: 0.8571\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 27\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 3.7344 - accuracy: 0.0769\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4182 - accuracy: 0.4615\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8078 - accuracy: 0.7692\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6310 - accuracy: 0.8462\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.5186 - accuracy: 0.8462\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.3521 - accuracy: 0.9231\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2425 - accuracy: 0.9231\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1360 - accuracy: 0.9231\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0792 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0646 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 8ms/step - loss: 1.7975 - accuracy: 0.5000\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.3170 - accuracy: 0.0769\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.7527 - accuracy: 0.4615\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5575 - accuracy: 0.4615\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.4054 - accuracy: 0.6154\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3098 - accuracy: 0.6154\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2557 - accuracy: 0.6154\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2057 - accuracy: 0.6154\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1473 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1070 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0832 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 1.0480 - accuracy: 0.7692\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0281 - accuracy: 0.7692\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0054 - accuracy: 0.8462\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9765 - accuracy: 0.7692\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9483 - accuracy: 0.8462\n",
            "2/2 [==============================] - 0s 83ms/step - loss: 1.5503 - accuracy: 0.4444\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.5319 - accuracy: 0.0500\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5530 - accuracy: 0.3500\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2159 - accuracy: 0.6000\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9568 - accuracy: 0.6500\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.7001 - accuracy: 0.7500\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5223 - accuracy: 0.8000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3490 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2906 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2144 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1540 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.3642 - accuracy: 0.4894\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.9956 - accuracy: 0.1500\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.7036 - accuracy: 0.4500\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.5332 - accuracy: 0.6000\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4201 - accuracy: 0.6000\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.3412 - accuracy: 0.6000\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.2860 - accuracy: 0.6500\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.2385 - accuracy: 0.7000\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1976 - accuracy: 0.7000\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.1595 - accuracy: 0.7500\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1197 - accuracy: 0.7500\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0872 - accuracy: 0.7500\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 1.0433 - accuracy: 0.7500\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0059 - accuracy: 0.7500\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9647 - accuracy: 0.7500\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9251 - accuracy: 0.7500\n",
            "2/2 [==============================] - 0s 56ms/step - loss: 1.2828 - accuracy: 0.5745\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.9074 - accuracy: 0.0769\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3738 - accuracy: 0.4615\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1271 - accuracy: 0.5385\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8889 - accuracy: 0.6923\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.6073 - accuracy: 0.8846\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5638 - accuracy: 0.8846\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.4329 - accuracy: 0.9231\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.2666 - accuracy: 0.9615\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2189 - accuracy: 0.9615\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.1602 - accuracy: 0.9615\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.7192 - accuracy: 0.5610\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 2.3467 - accuracy: 0.0385\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.9237 - accuracy: 0.1923\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.7861 - accuracy: 0.4231\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6519 - accuracy: 0.4615\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5297 - accuracy: 0.5000\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.4707 - accuracy: 0.5000\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3928 - accuracy: 0.5000\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3434 - accuracy: 0.5385\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2887 - accuracy: 0.6538\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2515 - accuracy: 0.7308\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.2098 - accuracy: 0.8077\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1806 - accuracy: 0.8077\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1419 - accuracy: 0.8462\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1122 - accuracy: 0.8462\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.0895 - accuracy: 0.8846\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.5323 - accuracy: 0.5366\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 2.5970 - accuracy: 0.1818\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 3.6020 - accuracy: 0.3939\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.7297 - accuracy: 0.4242\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.3935 - accuracy: 0.3030\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.9781 - accuracy: 0.5758\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.7212 - accuracy: 0.7879\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 0.5752 - accuracy: 0.8485\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.4906 - accuracy: 0.8182\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.4606 - accuracy: 0.8485\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.3379 - accuracy: 0.8788\n",
            "2/2 [==============================] - 0s 4ms/step - loss: 1.3600 - accuracy: 0.5000\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - ETA: 0s - loss: 2.0193 - accuracy: 0.1212WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.104722). Check your callbacks.\n",
            "2/2 [==============================] - 0s 141ms/step - loss: 2.0193 - accuracy: 0.1212\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.6614 - accuracy: 0.3030\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.5623 - accuracy: 0.3030\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.4642 - accuracy: 0.3939\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.3884 - accuracy: 0.4242\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.3181 - accuracy: 0.6667\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.2536 - accuracy: 0.7879\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.1999 - accuracy: 0.8485\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 45ms/step - loss: 1.1399 - accuracy: 0.8485\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 1.0897 - accuracy: 0.8788\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.0474 - accuracy: 0.8788\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.0229 - accuracy: 0.8788\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 0.9860 - accuracy: 0.8788\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 0.9528 - accuracy: 0.8788\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 0.9307 - accuracy: 0.8788\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.3618 - accuracy: 0.6765\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 2.1000 - accuracy: 0.1750\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.2286 - accuracy: 0.4750\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.8756 - accuracy: 0.7500\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.6661 - accuracy: 0.8500\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.5297 - accuracy: 0.7500\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2686 - accuracy: 0.9750\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 11ms/step - loss: 0.1838 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1494 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.0885 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.0586 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.7363 - accuracy: 0.5185\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 204ms/step - loss: 2.1492 - accuracy: 0.0500\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 95ms/step - loss: 1.7234 - accuracy: 0.1500\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 103ms/step - loss: 1.5518 - accuracy: 0.4750\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.4429 - accuracy: 0.5750\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.3560 - accuracy: 0.6250\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 94ms/step - loss: 1.2857 - accuracy: 0.7250\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 1.2199 - accuracy: 0.8250\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.1650 - accuracy: 0.8500\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 1.1154 - accuracy: 0.8500\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 95ms/step - loss: 1.0667 - accuracy: 0.8500\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.0208 - accuracy: 0.8000\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.9887 - accuracy: 0.8250\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.9521 - accuracy: 0.8250\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.9191 - accuracy: 0.8000\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 94ms/step - loss: 0.8908 - accuracy: 0.8250\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2623 - accuracy: 0.5556\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 46ms/step - loss: 2.1880 - accuracy: 0.1304\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.5086 - accuracy: 0.3913\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.0283 - accuracy: 0.5435\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.6685 - accuracy: 0.8913\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.5005 - accuracy: 0.9783\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.3712 - accuracy: 0.9565\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.2490 - accuracy: 0.9783\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.1866 - accuracy: 0.9783\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.1088 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 0.0861 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0226 - accuracy: 0.5714\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 255ms/step - loss: 1.9314 - accuracy: 0.1522\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.5772 - accuracy: 0.5000\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 1.4515 - accuracy: 0.5217\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 158ms/step - loss: 1.3420 - accuracy: 0.6087\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 1.2475 - accuracy: 0.6304\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 1.1706 - accuracy: 0.6522\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 151ms/step - loss: 1.1008 - accuracy: 0.7391\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 1.0368 - accuracy: 0.7609\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.9845 - accuracy: 0.8043\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 152ms/step - loss: 0.9433 - accuracy: 0.8696\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.9001 - accuracy: 0.8478\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.8646 - accuracy: 0.8478\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.8333 - accuracy: 0.8696\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 167ms/step - loss: 0.7970 - accuracy: 0.8913\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.7676 - accuracy: 0.8913\n",
            "1/1 [==============================] - 0s 2ms/step - loss: 1.0975 - accuracy: 0.6667\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 50ms/step - loss: 1.8871 - accuracy: 0.2453\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 25ms/step - loss: 1.2774 - accuracy: 0.4528\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.9368 - accuracy: 0.7736\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.5957 - accuracy: 0.8868\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.4307 - accuracy: 0.9057\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.2721 - accuracy: 0.9811\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1625 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1084 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.0796 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0509 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.6376 - accuracy: 0.7857\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 320ms/step - loss: 2.0630 - accuracy: 0.2075\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 1.6704 - accuracy: 0.2642\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 1.4875 - accuracy: 0.5849\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 210ms/step - loss: 1.3498 - accuracy: 0.6038\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 1.2373 - accuracy: 0.5849\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 1.1396 - accuracy: 0.6415\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 1.0615 - accuracy: 0.6792\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 210ms/step - loss: 1.0090 - accuracy: 0.7358\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 213ms/step - loss: 0.9463 - accuracy: 0.7925\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 0.8968 - accuracy: 0.8113\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 0.8596 - accuracy: 0.8113\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 0.8224 - accuracy: 0.8302\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 0.7843 - accuracy: 0.8868\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 0.7564 - accuracy: 0.8868\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 219ms/step - loss: 0.7260 - accuracy: 0.8868\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.9050 - accuracy: 0.7857\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 28\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.9959 - accuracy: 0.2308\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0365 - accuracy: 0.6923\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5616 - accuracy: 0.9231\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3735 - accuracy: 0.9231\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2610 - accuracy: 0.9231\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1488 - accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0718 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.0427 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0200 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0107 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 9ms/step - loss: 2.5383 - accuracy: 0.4444\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.0593 - accuracy: 0.1538\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6175 - accuracy: 0.3846\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4260 - accuracy: 0.6923\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2834 - accuracy: 0.7692\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.2163 - accuracy: 0.7692\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.1386 - accuracy: 0.7692\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1061 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.0704 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0241 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9896 - accuracy: 0.8462\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9634 - accuracy: 0.8462\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9278 - accuracy: 0.9231\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9073 - accuracy: 0.9231\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8818 - accuracy: 0.9231\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 16ms/step - loss: 0.8584 - accuracy: 0.9231\n",
            "2/2 [==============================] - 0s 81ms/step - loss: 1.4664 - accuracy: 0.4815\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 3.0766 - accuracy: 0.0000e+00\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4951 - accuracy: 0.4000\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2760 - accuracy: 0.4500\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9413 - accuracy: 0.6000\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6352 - accuracy: 0.8500\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5204 - accuracy: 0.9000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.4184 - accuracy: 0.9000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.3024 - accuracy: 0.9000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2000 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1430 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.4316 - accuracy: 0.5106\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.0431 - accuracy: 0.2000\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.7051 - accuracy: 0.2000\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5312 - accuracy: 0.3000\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3990 - accuracy: 0.3000\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.3115 - accuracy: 0.3000\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2265 - accuracy: 0.4000\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1735 - accuracy: 0.5000\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1279 - accuracy: 0.8000\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0953 - accuracy: 0.9000\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0493 - accuracy: 0.9000\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.0205 - accuracy: 0.9000\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9810 - accuracy: 0.9000\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9586 - accuracy: 0.9000\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9395 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9137 - accuracy: 0.9000\n",
            "2/2 [==============================] - 0s 57ms/step - loss: 1.5126 - accuracy: 0.5319\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.2436 - accuracy: 0.0769\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.9341 - accuracy: 0.3462\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1565 - accuracy: 0.3846\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9140 - accuracy: 0.6538\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.8353 - accuracy: 0.7308\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5653 - accuracy: 0.9231\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.3776 - accuracy: 0.9231\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.2863 - accuracy: 0.9231\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2098 - accuracy: 0.9231\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1928 - accuracy: 0.9615\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.4034 - accuracy: 0.5122\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.3793 - accuracy: 0.1538\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 2.0503 - accuracy: 0.3462\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.8483 - accuracy: 0.3846\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.7159 - accuracy: 0.3846\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.6139 - accuracy: 0.3846\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5362 - accuracy: 0.4615\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4793 - accuracy: 0.4231\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4219 - accuracy: 0.4615\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3795 - accuracy: 0.4615\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3399 - accuracy: 0.4615\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3159 - accuracy: 0.4615\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2862 - accuracy: 0.4615\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2514 - accuracy: 0.4615\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2274 - accuracy: 0.4615\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.2002 - accuracy: 0.4615\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.6774 - accuracy: 0.1951\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 3.1339 - accuracy: 0.0303\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.3961 - accuracy: 0.4242\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.5207 - accuracy: 0.3939\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.5653 - accuracy: 0.4242\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.4582 - accuracy: 0.4242\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.2092 - accuracy: 0.4242\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 9ms/step - loss: 0.9752 - accuracy: 0.5758\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.7751 - accuracy: 0.7576\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.7057 - accuracy: 0.8788\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.6005 - accuracy: 0.8788\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 1.5135 - accuracy: 0.4706\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - ETA: 0s - loss: 1.8363 - accuracy: 0.2424WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.120637). Check your callbacks.\n",
            "2/2 [==============================] - 0s 161ms/step - loss: 1.8363 - accuracy: 0.2424\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.5752 - accuracy: 0.3636\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.4578 - accuracy: 0.3333\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.3795 - accuracy: 0.3333\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.2811 - accuracy: 0.4242\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.2087 - accuracy: 0.4242\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 1.1494 - accuracy: 0.4545\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.0917 - accuracy: 0.5758\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.0489 - accuracy: 0.6061\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 0.9962 - accuracy: 0.7273\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 0.9569 - accuracy: 0.7879\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 0.8985 - accuracy: 0.8788\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 0.8666 - accuracy: 0.8788\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 35ms/step - loss: 0.8295 - accuracy: 0.8788\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 0.8073 - accuracy: 0.8788\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.2340 - accuracy: 0.5000\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 41ms/step - loss: 2.1111 - accuracy: 0.2250\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.4488 - accuracy: 0.4750\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.8142 - accuracy: 0.7750\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.6342 - accuracy: 0.8500\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.4602 - accuracy: 0.8750\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.3494 - accuracy: 0.8750\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1860 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.1210 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.1032 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.0727 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2157 - accuracy: 0.4815\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 228ms/step - loss: 1.6346 - accuracy: 0.3500\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.3962 - accuracy: 0.3500\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 1.2355 - accuracy: 0.4000\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 1.1132 - accuracy: 0.6000\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 1.0231 - accuracy: 0.8000\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.9629 - accuracy: 0.8250\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.9061 - accuracy: 0.8250\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.8624 - accuracy: 0.8250\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 101ms/step - loss: 0.8288 - accuracy: 0.8250\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.7950 - accuracy: 0.8250\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.7649 - accuracy: 0.8250\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.7309 - accuracy: 0.8250\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.6999 - accuracy: 0.8250\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 109ms/step - loss: 0.6717 - accuracy: 0.8250\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.6410 - accuracy: 0.9000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1661 - accuracy: 0.5926\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 45ms/step - loss: 2.6110 - accuracy: 0.1522\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.5596 - accuracy: 0.2826\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.0390 - accuracy: 0.5217\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 22ms/step - loss: 0.7538 - accuracy: 0.7391\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.5795 - accuracy: 0.8261\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.4744 - accuracy: 0.9130\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.3900 - accuracy: 0.8913\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.2870 - accuracy: 0.9348\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.2321 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1503 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.3444 - accuracy: 0.5714\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 269ms/step - loss: 1.9330 - accuracy: 0.1957\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.5736 - accuracy: 0.4783\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 1.4195 - accuracy: 0.5652\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 150ms/step - loss: 1.2972 - accuracy: 0.6304\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 1.2058 - accuracy: 0.6957\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.1188 - accuracy: 0.7391\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 1.0508 - accuracy: 0.7826\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 1.0025 - accuracy: 0.8043\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.9566 - accuracy: 0.8261\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.9070 - accuracy: 0.8696\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 145ms/step - loss: 0.8664 - accuracy: 0.8913\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 150ms/step - loss: 0.8395 - accuracy: 0.9130\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 0.7999 - accuracy: 0.9130\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.7710 - accuracy: 0.8696\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.7431 - accuracy: 0.8696\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0572 - accuracy: 0.7143\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 53ms/step - loss: 2.2109 - accuracy: 0.1132\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 25ms/step - loss: 1.2939 - accuracy: 0.3962\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 26ms/step - loss: 0.8961 - accuracy: 0.7925\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.7105 - accuracy: 0.8679\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.5026 - accuracy: 0.9245\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.3701 - accuracy: 0.9434\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.2534 - accuracy: 0.9623\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.2057 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1328 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.0936 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.8955 - accuracy: 0.5000\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 325ms/step - loss: 2.0855 - accuracy: 0.1698\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 210ms/step - loss: 1.6728 - accuracy: 0.2264\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 214ms/step - loss: 1.4989 - accuracy: 0.4340\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 1.3860 - accuracy: 0.5283\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 217ms/step - loss: 1.2978 - accuracy: 0.7547\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 1.2164 - accuracy: 0.7925\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 1.1507 - accuracy: 0.8113\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 1.0962 - accuracy: 0.8113\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 210ms/step - loss: 1.0387 - accuracy: 0.8113\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 210ms/step - loss: 0.9915 - accuracy: 0.8113\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 210ms/step - loss: 0.9573 - accuracy: 0.8113\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 212ms/step - loss: 0.9069 - accuracy: 0.8113\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 0.8630 - accuracy: 0.8113\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 211ms/step - loss: 0.8204 - accuracy: 0.8302\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 0.7891 - accuracy: 0.8868\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.0385 - accuracy: 0.7857\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "TRAINING ROUND: 29\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "Training on: 0.2 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 2.6938 - accuracy: 0.0769\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2967 - accuracy: 0.4615\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9585 - accuracy: 0.4615\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5292 - accuracy: 0.9231\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.3385 - accuracy: 0.9231\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2201 - accuracy: 0.9231\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1223 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.0622 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0409 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.0266 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 9ms/step - loss: 2.1622 - accuracy: 0.4259\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.2 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.2600 - accuracy: 0.1538\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.8729 - accuracy: 0.1538\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6474 - accuracy: 0.2308\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4926 - accuracy: 0.3846\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.3984 - accuracy: 0.7692\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 1.3267 - accuracy: 0.7692\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.2806 - accuracy: 0.7692\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2327 - accuracy: 0.7692\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.1712 - accuracy: 0.7692\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.1405 - accuracy: 0.7692\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1031 - accuracy: 0.7692\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0655 - accuracy: 0.7692\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0287 - accuracy: 0.7692\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9999 - accuracy: 0.7692\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9661 - accuracy: 0.7692\n",
            "2/2 [==============================] - 0s 85ms/step - loss: 1.5534 - accuracy: 0.4444\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.3 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.8480 - accuracy: 0.3000\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3719 - accuracy: 0.3500\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8334 - accuracy: 0.7000\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5051 - accuracy: 0.9000\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.4575 - accuracy: 0.9500\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2654 - accuracy: 0.9500\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1768 - accuracy: 0.9500\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0845 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0664 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0530 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 7ms/step - loss: 1.6152 - accuracy: 0.4894\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.3 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.8745 - accuracy: 0.1500\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5954 - accuracy: 0.4000\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4128 - accuracy: 0.4000\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3101 - accuracy: 0.5000\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2187 - accuracy: 0.7000\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.1473 - accuracy: 0.7000\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.1027 - accuracy: 0.7000\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0532 - accuracy: 0.7500\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.0190 - accuracy: 0.7500\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9859 - accuracy: 0.7500\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9484 - accuracy: 0.7500\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9200 - accuracy: 0.8000\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8854 - accuracy: 0.8500\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8624 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8412 - accuracy: 0.9000\n",
            "2/2 [==============================] - 0s 61ms/step - loss: 1.4056 - accuracy: 0.5319\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.4 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/10\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.8445 - accuracy: 0.1923\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.4706 - accuracy: 0.5000\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8768 - accuracy: 0.6538\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.6823 - accuracy: 0.8846\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.5578 - accuracy: 0.8462\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.3641 - accuracy: 0.9615\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.2039 - accuracy: 0.9615\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.1643 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.1349 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.0879 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.4248 - accuracy: 0.5610\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.4 \n",
            "\n",
            "Epoch 1/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 1.8293 - accuracy: 0.0385\n",
            "Epoch 2/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.5537 - accuracy: 0.3846\n",
            "Epoch 3/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.3623 - accuracy: 0.7308\n",
            "Epoch 4/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.2176 - accuracy: 0.7308\n",
            "Epoch 5/15\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.1294 - accuracy: 0.8077\n",
            "Epoch 6/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0550 - accuracy: 0.8077\n",
            "Epoch 7/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 1.0003 - accuracy: 0.8077\n",
            "Epoch 8/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.9588 - accuracy: 0.8077\n",
            "Epoch 9/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.9130 - accuracy: 0.8462\n",
            "Epoch 10/15\n",
            "1/1 [==============================] - 0s 4ms/step - loss: 0.8876 - accuracy: 0.8462\n",
            "Epoch 11/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8566 - accuracy: 0.8462\n",
            "Epoch 12/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8275 - accuracy: 0.8462\n",
            "Epoch 13/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.8066 - accuracy: 0.8462\n",
            "Epoch 14/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7804 - accuracy: 0.8462\n",
            "Epoch 15/15\n",
            "1/1 [==============================] - 0s 3ms/step - loss: 0.7544 - accuracy: 0.8462\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 1.3788 - accuracy: 0.5366\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.5 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 2.0178 - accuracy: 0.3333\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 2.9130 - accuracy: 0.3333\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 1.9043 - accuracy: 0.3333\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.9819 - accuracy: 0.6970\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.7090 - accuracy: 0.6970\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.6285 - accuracy: 0.9394\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 5ms/step - loss: 0.5029 - accuracy: 0.8485\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.3598 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.2433 - accuracy: 1.0000\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 6ms/step - loss: 0.1741 - accuracy: 1.0000\n",
            "2/2 [==============================] - 0s 3ms/step - loss: 1.4121 - accuracy: 0.5588\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.5 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - ETA: 0s - loss: 1.7465 - accuracy: 0.2424WARNING:tensorflow:Method (on_train_batch_end) is slow compared to the batch update (0.110330). Check your callbacks.\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 1.7465 - accuracy: 0.2424\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.4794 - accuracy: 0.3636\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 1.3871 - accuracy: 0.3636\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 1.2786 - accuracy: 0.4545\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 36ms/step - loss: 1.2043 - accuracy: 0.4242\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 1.1155 - accuracy: 0.6667\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 38ms/step - loss: 1.0460 - accuracy: 0.7273\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 32ms/step - loss: 0.9946 - accuracy: 0.7576\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 0.9453 - accuracy: 0.7879\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.9000 - accuracy: 0.7879\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 0.8662 - accuracy: 0.8182\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.8301 - accuracy: 0.8182\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.8019 - accuracy: 0.8182\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 0.7699 - accuracy: 0.8182\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 33ms/step - loss: 0.7453 - accuracy: 0.8182\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.2418 - accuracy: 0.5588\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.6 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 37ms/step - loss: 2.6847 - accuracy: 0.1000\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.6438 - accuracy: 0.4250\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 1.1282 - accuracy: 0.5000\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.8988 - accuracy: 0.7750\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.6916 - accuracy: 0.8500\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 0.5487 - accuracy: 0.8250\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.4057 - accuracy: 0.9000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 0.2977 - accuracy: 0.9500\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 12ms/step - loss: 0.2187 - accuracy: 0.9750\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 11ms/step - loss: 0.1697 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.4093 - accuracy: 0.5926\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.6 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 0s 215ms/step - loss: 1.9125 - accuracy: 0.2000\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.5924 - accuracy: 0.3500\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 1.4404 - accuracy: 0.5750\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.2975 - accuracy: 0.6750\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 1.1993 - accuracy: 0.7500\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 1.1064 - accuracy: 0.8500\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 1.0481 - accuracy: 0.9000\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.9876 - accuracy: 0.9000\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 98ms/step - loss: 0.9388 - accuracy: 0.9000\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 103ms/step - loss: 0.8907 - accuracy: 0.9000\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 97ms/step - loss: 0.8546 - accuracy: 0.9000\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 0.8195 - accuracy: 0.9000\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 100ms/step - loss: 0.7845 - accuracy: 0.9000\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 96ms/step - loss: 0.7585 - accuracy: 0.9000\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 102ms/step - loss: 0.7256 - accuracy: 0.9000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2811 - accuracy: 0.5185\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.7 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 44ms/step - loss: 2.2370 - accuracy: 0.1522\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.3004 - accuracy: 0.5217\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.9195 - accuracy: 0.7826\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.7452 - accuracy: 0.8043\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.5826 - accuracy: 0.8696\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.4169 - accuracy: 0.9130\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.2937 - accuracy: 0.9348\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 0.2159 - accuracy: 0.9130\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 0.1785 - accuracy: 0.9783\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 0.1177 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.1561 - accuracy: 0.5238\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.7 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 255ms/step - loss: 1.9101 - accuracy: 0.2174\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.5928 - accuracy: 0.3478\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 149ms/step - loss: 1.4538 - accuracy: 0.5652\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 148ms/step - loss: 1.3402 - accuracy: 0.6739\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 150ms/step - loss: 1.2381 - accuracy: 0.7174\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 151ms/step - loss: 1.1631 - accuracy: 0.7609\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 1.0875 - accuracy: 0.7826\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 159ms/step - loss: 1.0366 - accuracy: 0.7826\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.9903 - accuracy: 0.7826\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 142ms/step - loss: 0.9348 - accuracy: 0.8261\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 144ms/step - loss: 0.8978 - accuracy: 0.8478\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 146ms/step - loss: 0.8601 - accuracy: 0.8478\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 147ms/step - loss: 0.8305 - accuracy: 0.8696\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 152ms/step - loss: 0.8027 - accuracy: 0.8696\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 150ms/step - loss: 0.7803 - accuracy: 0.8696\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 1.2189 - accuracy: 0.5714\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Training on: 0.8 \n",
            "\n",
            "CNN Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/10\n",
            "2/2 [==============================] - 0s 49ms/step - loss: 2.5753 - accuracy: 0.2453\n",
            "Epoch 2/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 1.5624 - accuracy: 0.4340\n",
            "Epoch 3/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 1.1036 - accuracy: 0.5849\n",
            "Epoch 4/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.7070 - accuracy: 0.7736\n",
            "Epoch 5/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.5652 - accuracy: 0.9245\n",
            "Epoch 6/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.3949 - accuracy: 0.9811\n",
            "Epoch 7/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.2457 - accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1671 - accuracy: 1.0000\n",
            "Epoch 9/10\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 0.1319 - accuracy: 0.9811\n",
            "Epoch 10/10\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 0.0844 - accuracy: 1.0000\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.8979 - accuracy: 0.5000\n",
            "\n",
            "LSTM Training-------------------------------------------- 0.8 \n",
            "\n",
            "Epoch 1/15\n",
            "2/2 [==============================] - 1s 316ms/step - loss: 1.9028 - accuracy: 0.1509\n",
            "Epoch 2/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.5162 - accuracy: 0.5849\n",
            "Epoch 3/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 1.3420 - accuracy: 0.8113\n",
            "Epoch 4/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 1.1958 - accuracy: 0.8302\n",
            "Epoch 5/15\n",
            "2/2 [==============================] - 0s 202ms/step - loss: 1.1061 - accuracy: 0.8491\n",
            "Epoch 6/15\n",
            "2/2 [==============================] - 0s 208ms/step - loss: 1.0282 - accuracy: 0.8491\n",
            "Epoch 7/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.9698 - accuracy: 0.8868\n",
            "Epoch 8/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 0.9153 - accuracy: 0.8868\n",
            "Epoch 9/15\n",
            "2/2 [==============================] - 0s 206ms/step - loss: 0.8646 - accuracy: 0.8868\n",
            "Epoch 10/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.8236 - accuracy: 0.8868\n",
            "Epoch 11/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 0.7909 - accuracy: 0.8868\n",
            "Epoch 12/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.7549 - accuracy: 0.8868\n",
            "Epoch 13/15\n",
            "2/2 [==============================] - 0s 205ms/step - loss: 0.7248 - accuracy: 0.8868\n",
            "Epoch 14/15\n",
            "2/2 [==============================] - 0s 209ms/step - loss: 0.6992 - accuracy: 0.8868\n",
            "Epoch 15/15\n",
            "2/2 [==============================] - 0s 207ms/step - loss: 0.6722 - accuracy: 0.9057\n",
            "1/1 [==============================] - 0s 1ms/step - loss: 0.9997 - accuracy: 0.7143\n",
            "\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "-------------------------------------------------------------------------------------------\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "===============================================================================================\n",
            "\n",
            "\n",
            "\n",
            "CPU times: user 1h 44min 10s, sys: 1min 27s, total: 1h 45min 38s\n",
            "Wall time: 1h 13min 16s\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dnZBrcDcWzyN",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "rfc_accuracy = np.average(global_acc_rfc_list, axis=0)\n",
        "cnn_accuracy = np.average(global_acc_cnn_list, axis=0)\n",
        "lstm_accuracy = np.average(global_acc_lstm_list, axis=0)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4N591PE7YNb5",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 266
        },
        "outputId": "6143923d-78e7-49dc-e16a-d4aa2758dcab"
      },
      "source": [
        "acc = pd.DataFrame(list(zip(rfc_accuracy, cnn_accuracy, lstm_accuracy)), index =['0.2', '0.3', '0.4', '0.5', '0.6', '0.7', '0.8'], columns =['RFC', 'CNN', 'LSTM']) \n",
        "acc"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>RFC</th>\n",
              "      <th>CNN</th>\n",
              "      <th>LSTM</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0.2</th>\n",
              "      <td>35.185185</td>\n",
              "      <td>45.679012</td>\n",
              "      <td>45.185186</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0.3</th>\n",
              "      <td>44.680851</td>\n",
              "      <td>44.822695</td>\n",
              "      <td>52.907801</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0.4</th>\n",
              "      <td>39.024390</td>\n",
              "      <td>49.756098</td>\n",
              "      <td>51.951221</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0.5</th>\n",
              "      <td>52.941176</td>\n",
              "      <td>56.274511</td>\n",
              "      <td>54.803923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0.6</th>\n",
              "      <td>51.851852</td>\n",
              "      <td>53.703705</td>\n",
              "      <td>54.444446</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0.7</th>\n",
              "      <td>57.142857</td>\n",
              "      <td>54.285716</td>\n",
              "      <td>63.174605</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0.8</th>\n",
              "      <td>42.857143</td>\n",
              "      <td>62.142858</td>\n",
              "      <td>74.761905</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           RFC        CNN       LSTM\n",
              "0.2  35.185185  45.679012  45.185186\n",
              "0.3  44.680851  44.822695  52.907801\n",
              "0.4  39.024390  49.756098  51.951221\n",
              "0.5  52.941176  56.274511  54.803923\n",
              "0.6  51.851852  53.703705  54.444446\n",
              "0.7  57.142857  54.285716  63.174605\n",
              "0.8  42.857143  62.142858  74.761905"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hkzffs4e99pB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "393060d7-c64e-4bfd-d141-8e43a2a99f58"
      },
      "source": [
        "print(\"RFC: \",global_acc_rfc_list)\n",
        "print(\"CNN: \",global_acc_cnn_list)\n",
        "print(\"LSTM: \",global_acc_lstm_list)"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "RFC:  [[35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854], [35.18518518518518, 44.680851063829785, 39.02439024390244, 52.94117647058824, 51.85185185185185, 57.14285714285714, 42.857142857142854]]\n",
            "CNN:  [[42.592594027519226, 51.06382966041565, 39.024388790130615, 52.941179275512695, 55.55555820465088, 52.3809552192688, 57.14285969734192], [40.74074029922485, 44.68085169792175, 51.21951103210449, 50.0, 44.44444477558136, 57.14285969734192, 57.14285969734192], [46.296295523643494, 48.93617033958435, 51.21951103210449, 58.82353186607361, 48.148149251937866, 71.42857313156128, 64.28571343421936], [44.44444477558136, 46.80851101875305, 53.658539056777954, 58.82353186607361, 66.66666865348816, 57.14285969734192, 57.14285969734192], [46.296295523643494, 48.93617033958435, 46.341463923454285, 58.82353186607361, 51.851850748062134, 47.61904776096344, 57.14285969734192], [46.296295523643494, 44.68085169792175, 46.341463923454285, 52.941179275512695, 25.925925374031067, 47.61904776096344, 64.28571343421936], [42.592594027519226, 55.31914830207825, 56.09756112098694, 61.764705181121826, 48.148149251937866, 66.66666865348816, 78.57142686843872], [42.592594027519226, 38.297873735427856, 39.024388790130615, 52.941179275512695, 59.25925970077515, 52.3809552192688, 71.42857313156128], [40.74074029922485, 46.80851101875305, 36.58536672592163, 64.70588445663452, 55.55555820465088, 47.61904776096344, 71.42857313156128], [44.44444477558136, 48.93617033958435, 56.09756112098694, 58.82353186607361, 62.962961196899414, 52.3809552192688, 64.28571343421936], [51.851850748062134, 48.93617033958435, 65.85366129875183, 52.941179275512695, 59.25925970077515, 61.90476417541504, 57.14285969734192], [46.296295523643494, 48.93617033958435, 53.658539056777954, 64.70588445663452, 48.148149251937866, 66.66666865348816, 64.28571343421936], [48.148149251937866, 27.659574151039124, 53.658539056777954, 58.82353186607361, 55.55555820465088, 66.66666865348816, 57.14285969734192], [46.296295523643494, 46.80851101875305, 56.09756112098694, 41.17647111415863, 59.25925970077515, 42.85714328289032, 57.14285969734192], [42.592594027519226, 51.06382966041565, 36.58536672592163, 55.88235259056091, 55.55555820465088, 47.61904776096344, 64.28571343421936], [48.148149251937866, 34.04255211353302, 43.90243887901306, 55.88235259056091, 55.55555820465088, 61.90476417541504, 64.28571343421936], [40.74074029922485, 36.17021143436432, 46.341463923454285, 58.82353186607361, 51.851850748062134, 61.90476417541504, 57.14285969734192], [46.296295523643494, 38.297873735427856, 58.53658318519592, 61.764705181121826, 55.55555820465088, 52.3809552192688, 64.28571343421936], [50.0, 44.68085169792175, 53.658539056777954, 52.941179275512695, 55.55555820465088, 61.90476417541504, 57.14285969734192], [46.296295523643494, 40.425533056259155, 46.341463923454285, 64.70588445663452, 48.148149251937866, 57.14285969734192, 57.14285969734192], [50.0, 48.93617033958435, 48.78048896789551, 61.764705181121826, 55.55555820465088, 38.0952388048172, 57.14285969734192], [46.296295523643494, 46.80851101875305, 48.78048896789551, 52.941179275512695, 51.851850748062134, 52.3809552192688, 57.14285969734192], [38.88888955116272, 44.68085169792175, 48.78048896789551, 61.764705181121826, 62.962961196899414, 47.61904776096344, 64.28571343421936], [48.148149251937866, 19.148936867713928, 63.41463327407837, 52.941179275512695, 55.55555820465088, 61.90476417541504, 85.71428656578064], [48.148149251937866, 48.93617033958435, 51.21951103210449, 61.764705181121826, 51.851850748062134, 38.0952388048172, 71.42857313156128], [51.851850748062134, 51.06382966041565, 41.46341383457184, 52.941179275512695, 55.55555820465088, 42.85714328289032, 50.0], [46.296295523643494, 44.68085169792175, 36.58536672592163, 52.941179275512695, 55.55555820465088, 47.61904776096344, 57.14285969734192], [50.0, 48.93617033958435, 56.09756112098694, 50.0, 51.851850748062134, 57.14285969734192, 78.57142686843872], [44.44444477558136, 51.06382966041565, 51.21951103210449, 47.05882370471954, 48.148149251937866, 57.14285969734192, 50.0], [42.592594027519226, 48.93617033958435, 56.09756112098694, 55.88235259056091, 59.25925970077515, 52.3809552192688, 50.0]]\n",
            "LSTM:  [[46.296295523643494, 51.06382966041565, 56.09756112098694, 55.88235259056091, 51.851850748062134, 61.90476417541504, 85.71428656578064], [48.148149251937866, 55.31914830207825, 60.975611209869385, 64.70588445663452, 51.851850748062134, 66.66666865348816, 71.42857313156128], [42.592594027519226, 53.19148898124695, 46.341463923454285, 50.0, 55.55555820465088, 71.42857313156128, 78.57142686843872], [46.296295523643494, 48.93617033958435, 53.658539056777954, 50.0, 55.55555820465088, 66.66666865348816, 78.57142686843872], [44.44444477558136, 53.19148898124695, 58.53658318519592, 50.0, 51.851850748062134, 66.66666865348816, 78.57142686843872], [46.296295523643494, 57.446807622909546, 60.975611209869385, 52.941179275512695, 55.55555820465088, 61.90476417541504, 78.57142686843872], [40.74074029922485, 48.93617033958435, 56.09756112098694, 44.11764740943909, 55.55555820465088, 61.90476417541504, 85.71428656578064], [44.44444477558136, 55.31914830207825, 53.658539056777954, 50.0, 59.25925970077515, 66.66666865348816, 71.42857313156128], [40.74074029922485, 46.80851101875305, 48.78048896789551, 55.88235259056091, 55.55555820465088, 61.90476417541504, 64.28571343421936], [46.296295523643494, 48.93617033958435, 53.658539056777954, 55.88235259056091, 55.55555820465088, 57.14285969734192, 78.57142686843872], [48.148149251937866, 46.80851101875305, 53.658539056777954, 52.941179275512695, 48.148149251937866, 66.66666865348816, 78.57142686843872], [48.148149251937866, 48.93617033958435, 48.78048896789551, 47.05882370471954, 48.148149251937866, 61.90476417541504, 78.57142686843872], [48.148149251937866, 53.19148898124695, 48.78048896789551, 58.82353186607361, 55.55555820465088, 61.90476417541504, 71.42857313156128], [42.592594027519226, 53.19148898124695, 53.658539056777954, 55.88235259056091, 51.851850748062134, 57.14285969734192, 78.57142686843872], [50.0, 59.574466943740845, 51.21951103210449, 52.941179275512695, 51.851850748062134, 61.90476417541504, 78.57142686843872], [44.44444477558136, 53.19148898124695, 51.21951103210449, 52.941179275512695, 55.55555820465088, 66.66666865348816, 71.42857313156128], [46.296295523643494, 48.93617033958435, 53.658539056777954, 52.941179275512695, 59.25925970077515, 57.14285969734192, 64.28571343421936], [48.148149251937866, 59.574466943740845, 56.09756112098694, 55.88235259056091, 51.851850748062134, 61.90476417541504, 71.42857313156128], [46.296295523643494, 48.93617033958435, 56.09756112098694, 55.88235259056091, 55.55555820465088, 61.90476417541504, 71.42857313156128], [42.592594027519226, 53.19148898124695, 48.78048896789551, 58.82353186607361, 55.55555820465088, 61.90476417541504, 64.28571343421936], [48.148149251937866, 48.93617033958435, 53.658539056777954, 61.764705181121826, 59.25925970077515, 71.42857313156128, 71.42857313156128], [42.592594027519226, 55.31914830207825, 60.975611209869385, 58.82353186607361, 55.55555820465088, 66.66666865348816, 71.42857313156128], [48.148149251937866, 55.31914830207825, 48.78048896789551, 58.82353186607361, 51.851850748062134, 57.14285969734192, 64.28571343421936], [42.592594027519226, 53.19148898124695, 48.78048896789551, 52.941179275512695, 51.851850748062134, 57.14285969734192, 78.57142686843872], [40.74074029922485, 51.06382966041565, 48.78048896789551, 52.941179275512695, 55.55555820465088, 61.90476417541504, 71.42857313156128], [44.44444477558136, 59.574466943740845, 48.78048896789551, 52.941179275512695, 55.55555820465088, 61.90476417541504, 71.42857313156128], [40.74074029922485, 55.31914830207825, 51.21951103210449, 58.82353186607361, 55.55555820465088, 61.90476417541504, 85.71428656578064], [44.44444477558136, 57.446807622909546, 53.658539056777954, 67.64705777168274, 55.55555820465088, 66.66666865348816, 78.57142686843872], [48.148149251937866, 53.19148898124695, 19.512194395065308, 50.0, 59.25925970077515, 71.42857313156128, 78.57142686843872], [44.44444477558136, 53.19148898124695, 53.658539056777954, 55.88235259056091, 51.851850748062134, 57.14285969734192, 71.42857313156128]]\n"
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}