{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "59496a3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import pandas as pd#\n",
    "import numpy as np\n",
    "import scipy as sp\n",
    "import matplotlib\n",
    "import os\n",
    "import sklearn\n",
    "from matplotlib import pyplot as plt\n",
    "from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor\n",
    "from sklearn import metrics\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "from sklearn import model_selection, svm\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import classification_report, average_precision_score, mean_squared_error\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import precision_recall_curve\n",
    "from sklearn.metrics import accuracy_score\n",
    "#from sklearn.cross_validation import cross_val_score\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.multiclass import OneVsRestClassifier\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.preprocessing import label_binarize\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.ensemble import AdaBoostRegressor\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.ensemble import VotingClassifier\n",
    "from sklearn.neural_network import MLPRegressor\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import linear_model\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import roc_curve, roc_auc_score\n",
    "\n",
    "\n",
    "pd.set_option('display.max_rows', 500)\n",
    "pd.set_option('display.max_columns', 500)\n",
    "pd.set_option('display.width', 1000)\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn import preprocessing\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "#SMOTE and IMBLearn\n",
    "from imblearn.over_sampling import SMOTE\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from imblearn.pipeline import make_pipeline as imbalanced_make_pipeline\n",
    "from imblearn.over_sampling import SMOTE\n",
    "from imblearn.under_sampling import NearMiss\n",
    "from imblearn.metrics import classification_report_imbalanced\n",
    "\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.model_selection import KFold\n",
    "#Plotly Libraries\n",
    "import plotly\n",
    "import plotly.figure_factory as ff\n",
    "import plotly.graph_objs as go\n",
    "import chart_studio\n",
    "from scipy import signal\n",
    "import matplotlib.pyplot as plt\n",
    "#plt.style.use('seaborn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "a67949f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df= pd.read_csv('final_one_for_class_weights_stnd_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "14803655",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(26126, 25)"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "e404b44b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Power</th>\n",
       "      <th>Spindle</th>\n",
       "      <th>vibration</th>\n",
       "      <th>roll_mean_Power</th>\n",
       "      <th>roll_std_Power</th>\n",
       "      <th>roll_min_Power</th>\n",
       "      <th>roll_max_Power</th>\n",
       "      <th>roll_EME_Power</th>\n",
       "      <th>roll_IQR_Power</th>\n",
       "      <th>roll_skew_Power</th>\n",
       "      <th>roll_mean_Spindle</th>\n",
       "      <th>roll_std_Spindle</th>\n",
       "      <th>roll_min_Spindle</th>\n",
       "      <th>roll_max_Spindle</th>\n",
       "      <th>roll_EME_Spindle</th>\n",
       "      <th>roll_IQR_Spindle</th>\n",
       "      <th>roll_skew_Spindle</th>\n",
       "      <th>roll_mean_vibration</th>\n",
       "      <th>roll_std_vibration</th>\n",
       "      <th>roll_min_vibration</th>\n",
       "      <th>roll_max_vibration</th>\n",
       "      <th>roll_EME_vibration</th>\n",
       "      <th>roll_IQR_vibration</th>\n",
       "      <th>roll_skew_vibration</th>\n",
       "      <th>Label_Numeric</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.704504</td>\n",
       "      <td>-0.656656</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>-5.243308</td>\n",
       "      <td>3.549036</td>\n",
       "      <td>-8.273532</td>\n",
       "      <td>0.237851</td>\n",
       "      <td>-0.850778</td>\n",
       "      <td>-0.454735</td>\n",
       "      <td>1.763536</td>\n",
       "      <td>-0.894810</td>\n",
       "      <td>-0.794447</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.891522</td>\n",
       "      <td>-0.561806</td>\n",
       "      <td>-0.672802</td>\n",
       "      <td>-0.718196</td>\n",
       "      <td>-0.338410</td>\n",
       "      <td>0.153263</td>\n",
       "      <td>-0.362442</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.157717</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>1.940044</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.693592</td>\n",
       "      <td>-0.270631</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>-3.705873</td>\n",
       "      <td>4.412749</td>\n",
       "      <td>-8.273532</td>\n",
       "      <td>0.237851</td>\n",
       "      <td>-0.570332</td>\n",
       "      <td>13.084977</td>\n",
       "      <td>0.318055</td>\n",
       "      <td>-0.789580</td>\n",
       "      <td>-0.504153</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.617958</td>\n",
       "      <td>-0.550103</td>\n",
       "      <td>-0.672802</td>\n",
       "      <td>1.657976</td>\n",
       "      <td>-0.275950</td>\n",
       "      <td>0.243939</td>\n",
       "      <td>-0.362442</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.155242</td>\n",
       "      <td>0.617664</td>\n",
       "      <td>0.317541</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.705959</td>\n",
       "      <td>-0.259266</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>-2.165217</td>\n",
       "      <td>4.414593</td>\n",
       "      <td>-8.273532</td>\n",
       "      <td>0.238714</td>\n",
       "      <td>-0.288709</td>\n",
       "      <td>13.110000</td>\n",
       "      <td>-0.762990</td>\n",
       "      <td>-0.681253</td>\n",
       "      <td>-0.433614</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.609904</td>\n",
       "      <td>-0.537702</td>\n",
       "      <td>-0.252914</td>\n",
       "      <td>-0.069784</td>\n",
       "      <td>-0.213490</td>\n",
       "      <td>0.243939</td>\n",
       "      <td>-0.362442</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.152767</td>\n",
       "      <td>0.617664</td>\n",
       "      <td>-0.895892</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.685590</td>\n",
       "      <td>-0.656656</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>-0.629865</td>\n",
       "      <td>3.544424</td>\n",
       "      <td>-8.273532</td>\n",
       "      <td>0.238714</td>\n",
       "      <td>-0.009022</td>\n",
       "      <td>-0.411362</td>\n",
       "      <td>-2.208437</td>\n",
       "      <td>-0.681253</td>\n",
       "      <td>-0.433614</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.609904</td>\n",
       "      <td>-0.537702</td>\n",
       "      <td>-0.252914</td>\n",
       "      <td>-0.069784</td>\n",
       "      <td>-0.151029</td>\n",
       "      <td>0.153263</td>\n",
       "      <td>-0.362442</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.150292</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-2.518395</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.692137</td>\n",
       "      <td>-0.643987</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>0.907191</td>\n",
       "      <td>-0.300801</td>\n",
       "      <td>1.455817</td>\n",
       "      <td>0.238714</td>\n",
       "      <td>0.271287</td>\n",
       "      <td>-0.426376</td>\n",
       "      <td>-0.175717</td>\n",
       "      <td>-0.677799</td>\n",
       "      <td>-0.437396</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.609904</td>\n",
       "      <td>-0.537689</td>\n",
       "      <td>-0.252914</td>\n",
       "      <td>-0.072604</td>\n",
       "      <td>-0.088569</td>\n",
       "      <td>-0.250196</td>\n",
       "      <td>-0.012533</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.147817</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-0.289175</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26121</th>\n",
       "      <td>0.433161</td>\n",
       "      <td>1.635646</td>\n",
       "      <td>0.064349</td>\n",
       "      <td>0.487805</td>\n",
       "      <td>-0.085733</td>\n",
       "      <td>0.482722</td>\n",
       "      <td>0.092613</td>\n",
       "      <td>0.123167</td>\n",
       "      <td>-0.424707</td>\n",
       "      <td>-2.186625</td>\n",
       "      <td>1.446901</td>\n",
       "      <td>1.115797</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>0.989496</td>\n",
       "      <td>1.002605</td>\n",
       "      <td>0.851926</td>\n",
       "      <td>-1.851743</td>\n",
       "      <td>0.067581</td>\n",
       "      <td>-0.250196</td>\n",
       "      <td>0.162422</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.132349</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-0.289175</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26122</th>\n",
       "      <td>0.438496</td>\n",
       "      <td>-0.640820</td>\n",
       "      <td>0.064349</td>\n",
       "      <td>0.577024</td>\n",
       "      <td>-0.298003</td>\n",
       "      <td>1.039291</td>\n",
       "      <td>0.092613</td>\n",
       "      <td>0.153365</td>\n",
       "      <td>-0.431936</td>\n",
       "      <td>0.896485</td>\n",
       "      <td>0.763519</td>\n",
       "      <td>1.291478</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>0.989496</td>\n",
       "      <td>0.502827</td>\n",
       "      <td>1.803361</td>\n",
       "      <td>-0.560021</td>\n",
       "      <td>0.067581</td>\n",
       "      <td>-0.250196</td>\n",
       "      <td>0.162422</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.132349</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-0.289175</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26123</th>\n",
       "      <td>0.451590</td>\n",
       "      <td>2.272624</td>\n",
       "      <td>0.064349</td>\n",
       "      <td>0.581002</td>\n",
       "      <td>-0.298183</td>\n",
       "      <td>1.039291</td>\n",
       "      <td>0.092613</td>\n",
       "      <td>0.154755</td>\n",
       "      <td>-0.424707</td>\n",
       "      <td>-0.097931</td>\n",
       "      <td>0.838480</td>\n",
       "      <td>1.431031</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>1.184371</td>\n",
       "      <td>0.623404</td>\n",
       "      <td>1.803361</td>\n",
       "      <td>-0.416993</td>\n",
       "      <td>0.067581</td>\n",
       "      <td>-0.250196</td>\n",
       "      <td>0.162422</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.132349</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-0.289175</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26124</th>\n",
       "      <td>0.436071</td>\n",
       "      <td>-0.075569</td>\n",
       "      <td>-0.010030</td>\n",
       "      <td>0.574877</td>\n",
       "      <td>-0.302332</td>\n",
       "      <td>1.039291</td>\n",
       "      <td>0.087868</td>\n",
       "      <td>0.152614</td>\n",
       "      <td>-0.431380</td>\n",
       "      <td>0.311312</td>\n",
       "      <td>0.996883</td>\n",
       "      <td>1.230144</td>\n",
       "      <td>-0.394501</td>\n",
       "      <td>1.184371</td>\n",
       "      <td>0.649921</td>\n",
       "      <td>1.188526</td>\n",
       "      <td>-0.394843</td>\n",
       "      <td>0.051966</td>\n",
       "      <td>-0.149331</td>\n",
       "      <td>0.074945</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.134050</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-2.518395</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26125</th>\n",
       "      <td>0.446498</td>\n",
       "      <td>2.333732</td>\n",
       "      <td>0.064349</td>\n",
       "      <td>0.574940</td>\n",
       "      <td>-0.302271</td>\n",
       "      <td>1.039291</td>\n",
       "      <td>0.087868</td>\n",
       "      <td>0.152636</td>\n",
       "      <td>-0.430824</td>\n",
       "      <td>0.291145</td>\n",
       "      <td>1.506474</td>\n",
       "      <td>1.522843</td>\n",
       "      <td>-0.394501</td>\n",
       "      <td>1.227676</td>\n",
       "      <td>1.253494</td>\n",
       "      <td>1.881381</td>\n",
       "      <td>-1.288836</td>\n",
       "      <td>0.051966</td>\n",
       "      <td>-0.149331</td>\n",
       "      <td>0.074945</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.134050</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-2.518395</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>26126 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Power   Spindle  vibration  roll_mean_Power  roll_std_Power  roll_min_Power  roll_max_Power  roll_EME_Power  roll_IQR_Power  roll_skew_Power  roll_mean_Spindle  roll_std_Spindle  roll_min_Spindle  roll_max_Spindle  roll_EME_Spindle  roll_IQR_Spindle  roll_skew_Spindle  roll_mean_vibration  roll_std_vibration  roll_min_vibration  roll_max_vibration  roll_EME_vibration  roll_IQR_vibration  roll_skew_vibration  Label_Numeric\n",
       "0      0.704504 -0.656656  -0.084409        -5.243308        3.549036       -8.273532        0.237851       -0.850778       -0.454735         1.763536          -0.894810         -0.794447         -0.436556         -0.891522         -0.561806         -0.672802          -0.718196            -0.338410            0.153263           -0.362442           -0.163626           -0.157717           -0.194306             1.940044              0\n",
       "1      0.693592 -0.270631  -0.084409        -3.705873        4.412749       -8.273532        0.237851       -0.570332       13.084977         0.318055          -0.789580         -0.504153         -0.436556         -0.617958         -0.550103         -0.672802           1.657976            -0.275950            0.243939           -0.362442           -0.163626           -0.155242            0.617664             0.317541              0\n",
       "2      0.705959 -0.259266  -0.084409        -2.165217        4.414593       -8.273532        0.238714       -0.288709       13.110000        -0.762990          -0.681253         -0.433614         -0.436556         -0.609904         -0.537702         -0.252914          -0.069784            -0.213490            0.243939           -0.362442           -0.163626           -0.152767            0.617664            -0.895892              0\n",
       "3      0.685590 -0.656656  -0.084409        -0.629865        3.544424       -8.273532        0.238714       -0.009022       -0.411362        -2.208437          -0.681253         -0.433614         -0.436556         -0.609904         -0.537702         -0.252914          -0.069784            -0.151029            0.153263           -0.362442           -0.163626           -0.150292           -0.194306            -2.518395              0\n",
       "4      0.692137 -0.643987  -0.084409         0.907191       -0.300801        1.455817        0.238714        0.271287       -0.426376        -0.175717          -0.677799         -0.437396         -0.436556         -0.609904         -0.537689         -0.252914          -0.072604            -0.088569           -0.250196           -0.012533           -0.163626           -0.147817           -0.194306            -0.289175              0\n",
       "...         ...       ...        ...              ...             ...             ...             ...             ...             ...              ...                ...               ...               ...               ...               ...               ...                ...                  ...                 ...                 ...                 ...                 ...                 ...                  ...            ...\n",
       "26121  0.433161  1.635646   0.064349         0.487805       -0.085733        0.482722        0.092613        0.123167       -0.424707        -2.186625           1.446901          1.115797         -0.436556          0.989496          1.002605          0.851926          -1.851743             0.067581           -0.250196            0.162422           -0.040807           -0.132349           -0.194306            -0.289175              0\n",
       "26122  0.438496 -0.640820   0.064349         0.577024       -0.298003        1.039291        0.092613        0.153365       -0.431936         0.896485           0.763519          1.291478         -0.436556          0.989496          0.502827          1.803361          -0.560021             0.067581           -0.250196            0.162422           -0.040807           -0.132349           -0.194306            -0.289175              0\n",
       "26123  0.451590  2.272624   0.064349         0.581002       -0.298183        1.039291        0.092613        0.154755       -0.424707        -0.097931           0.838480          1.431031         -0.436556          1.184371          0.623404          1.803361          -0.416993             0.067581           -0.250196            0.162422           -0.040807           -0.132349           -0.194306            -0.289175              0\n",
       "26124  0.436071 -0.075569  -0.010030         0.574877       -0.302332        1.039291        0.087868        0.152614       -0.431380         0.311312           0.996883          1.230144         -0.394501          1.184371          0.649921          1.188526          -0.394843             0.051966           -0.149331            0.074945           -0.040807           -0.134050           -0.194306            -2.518395              0\n",
       "26125  0.446498  2.333732   0.064349         0.574940       -0.302271        1.039291        0.087868        0.152636       -0.430824         0.291145           1.506474          1.522843         -0.394501          1.227676          1.253494          1.881381          -1.288836             0.051966           -0.149331            0.074945           -0.040807           -0.134050           -0.194306            -2.518395              0\n",
       "\n",
       "[26126 rows x 25 columns]"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "732dcb8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Label_Numeric\n",
       "0    16315\n",
       "1     9811\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Label_Numeric'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "02c5e276-0c1a-42f7-a464-e16b8cd4b95b",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test = df.iloc[:,0:-1]\n",
    "Y_test = df.iloc[:,-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbb4af77-e612-4f3d-b67f-262a9b801632",
   "metadata": {},
   "source": [
    "## Machine Learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "dec57b54-855b-4851-9d4f-02e780c654ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_ml, X_test, y_train_ml, y_test = train_test_split(X_test, Y_test, test_size = 0.2, random_state = 0, stratify = Y_test)\n",
    "V_train, end_test_ml, vl_train, test_label_ml = train_test_split(X_test, y_test, test_size = 0.5, random_state = 0, stratify = y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "ad497b23-d471-4094-90dd-728788fd138d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of Train Features (20900, 24)\n",
      "Shape of Train Labels (20900,)\n",
      "Shape of validation Features (2613, 24)\n",
      "Shape of validation Labels (2613,)\n",
      "Shape of Test Features (2613, 24)\n",
      "Shape of Test Labels (2613,)\n"
     ]
    }
   ],
   "source": [
    "print(\"Shape of Train Features\",X_train_ml.shape)\n",
    "print(\"Shape of Train Labels\",y_train_ml.shape)\n",
    "\n",
    "print(\"Shape of validation Features\",V_train.shape)\n",
    "print(\"Shape of validation Labels\",vl_train.shape)\n",
    "\n",
    "print(\"Shape of Test Features\",end_test_ml.shape)\n",
    "print(\"Shape of Test Labels\",test_label_ml.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "7c187ed7-498d-4275-97a5-3940e22820b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import f1_score, accuracy_score, confusion_matrix\n",
    "from mlxtend.plotting import plot_confusion_matrix\n",
    "import scikitplot as skplt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "d6f2d4d1-19d3-4636-abec-cecfa7309996",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define your classifiers\n",
    "classifiers = {\n",
    "    \"Logistic Regression\": LogisticRegression(max_iter=200, solver='lbfgs', random_state=100),\n",
    "    \"Support Vector Classifier\": SVC(kernel='linear', probability=True, random_state=100),\n",
    "    \"K-Nearest Neighbors\": KNeighborsClassifier(n_neighbors=5),\n",
    "    \"Decision Tree\": DecisionTreeClassifier(random_state=100),\n",
    "    \"Naive Bayes\": GaussianNB(),\n",
    "    \"Random Forest\": RandomForestClassifier(n_estimators=4 , min_samples_split = 6, class_weight='balanced'),\n",
    "    \"XGBoost\": XGBClassifier(learning_rate=0.1 , max_depth=5 ,base_score=0.3),\n",
    "    \"MLP\": MLPClassifier(max_iter=200,\n",
    "                    learning_rate='constant',\n",
    "                    power_t=0.5, solver='lbfgs', alpha=0.0001, random_state=100)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "75847dcd-e339-4d69-8759-3840f0ca3119",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Classifier: Logistic Regression\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.8132    0.7978    0.8054      1632\n",
      "           1     0.6739    0.6952    0.6844       981\n",
      "\n",
      "    accuracy                         0.7593      2613\n",
      "   macro avg     0.7436    0.7465    0.7449      2613\n",
      "weighted avg     0.7609    0.7593    0.7600      2613\n",
      "\n",
      "Accuracy: 0.7592805204745503\n",
      "Confusion Matrix:\n",
      "[[1601    0]\n",
      " [   0 1012]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved Logistic Regression model as Logistic_Regression.pkl\n",
      "\n",
      "Classifier: Support Vector Classifier\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.8114    0.8015    0.8064      1632\n",
      "           1     0.6763    0.6901    0.6831       981\n",
      "\n",
      "    accuracy                         0.7597      2613\n",
      "   macro avg     0.7439    0.7458    0.7448      2613\n",
      "weighted avg     0.7607    0.7597    0.7601      2613\n",
      "\n",
      "Accuracy: 0.7596632223497896\n",
      "Confusion Matrix:\n",
      "[[1612    0]\n",
      " [   0 1001]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved Support Vector Classifier model as Support_Vector_Classifier.pkl\n",
      "\n",
      "Classifier: K-Nearest Neighbors\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.8711    0.8529    0.8619      1632\n",
      "           1     0.7635    0.7900    0.7766       981\n",
      "\n",
      "    accuracy                         0.8293      2613\n",
      "   macro avg     0.8173    0.8215    0.8192      2613\n",
      "weighted avg     0.8307    0.8293    0.8299      2613\n",
      "\n",
      "Accuracy: 0.8293149636433218\n",
      "Confusion Matrix:\n",
      "[[1598    0]\n",
      " [   0 1015]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved K-Nearest Neighbors model as K-Nearest_Neighbors.pkl\n",
      "\n",
      "Classifier: Decision Tree\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9049    0.9093    0.9071      1632\n",
      "           1     0.8479    0.8410    0.8444       981\n",
      "\n",
      "    accuracy                         0.8837      2613\n",
      "   macro avg     0.8764    0.8751    0.8758      2613\n",
      "weighted avg     0.8835    0.8837    0.8836      2613\n",
      "\n",
      "Accuracy: 0.8836586299272866\n",
      "Confusion Matrix:\n",
      "[[1640    0]\n",
      " [   0  973]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved Decision Tree model as Decision_Tree.pkl\n",
      "\n",
      "Classifier: Naive Bayes\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9774    0.5043    0.6653      1632\n",
      "           1     0.5432    0.9806    0.6991       981\n",
      "\n",
      "    accuracy                         0.6831      2613\n",
      "   macro avg     0.7603    0.7425    0.6822      2613\n",
      "weighted avg     0.8144    0.6831    0.6780      2613\n",
      "\n",
      "Accuracy: 0.6831228473019518\n",
      "Confusion Matrix:\n",
      "[[ 842    0]\n",
      " [   0 1771]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved Naive Bayes model as Naive_Bayes.pkl\n",
      "\n",
      "Classifier: Random Forest\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9184    0.9167    0.9175      1632\n",
      "           1     0.8618    0.8644    0.8631       981\n",
      "\n",
      "    accuracy                         0.8971      2613\n",
      "   macro avg     0.8901    0.8905    0.8903      2613\n",
      "weighted avg     0.8971    0.8971    0.8971      2613\n",
      "\n",
      "Accuracy: 0.8970531955606582\n",
      "Confusion Matrix:\n",
      "[[1629    0]\n",
      " [   0  984]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved Random Forest model as Random_Forest.pkl\n",
      "\n",
      "Classifier: XGBoost\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9299    0.9026    0.9160      1632\n",
      "           1     0.8455    0.8869    0.8657       981\n",
      "\n",
      "    accuracy                         0.8967      2613\n",
      "   macro avg     0.8877    0.8947    0.8909      2613\n",
      "weighted avg     0.8982    0.8967    0.8971      2613\n",
      "\n",
      "Accuracy: 0.8966704936854191\n",
      "Confusion Matrix:\n",
      "[[1584    0]\n",
      " [   0 1029]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved XGBoost model as XGBoost.pkl\n",
      "\n",
      "Classifier: MLP\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9015    0.8971    0.8993      1632\n",
      "           1     0.8301    0.8369    0.8335       981\n",
      "\n",
      "    accuracy                         0.8745      2613\n",
      "   macro avg     0.8658    0.8670    0.8664      2613\n",
      "weighted avg     0.8747    0.8745    0.8746      2613\n",
      "\n",
      "Accuracy: 0.8744737849215461\n",
      "Confusion Matrix:\n",
      "[[1624    0]\n",
      " [   0  989]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved MLP model as MLP.pkl\n"
     ]
    }
   ],
   "source": [
    "# Dictionary to store ROC curve data\n",
    "roc_data = {}\n",
    "\n",
    "# Iterate over classifiers\n",
    "for clf_name, clf in classifiers.items():\n",
    "    print(f\"\\nClassifier: {clf_name}\")\n",
    "    \n",
    "    # Train the classifier\n",
    "    clf.fit(X_train_ml, y_train_ml)\n",
    "    \n",
    "    # Predict on the test set\n",
    "    predictions = clf.predict(end_test_ml)\n",
    "    if hasattr(clf, \"predict_proba\"):\n",
    "        probas = clf.predict_proba(end_test_ml)[:, 1]\n",
    "    else:  # SVM with probability=False does not have predict_proba\n",
    "        probas = clf.decision_function(end_test_ml)\n",
    "    \n",
    "    # Print classification report and accuracy score\n",
    "    print(classification_report(test_label_ml, predictions, digits=4))\n",
    "    print(f\"Accuracy: {accuracy_score(test_label_ml, predictions)}\")\n",
    "    \n",
    "    # Compute confusion matrix\n",
    "    cf_matrix = confusion_matrix(predictions, predictions)\n",
    "    print(f\"Confusion Matrix:\\n{cf_matrix}\")\n",
    "    skplt.metrics.plot_confusion_matrix(test_label_ml, predictions , normalize=True)\n",
    "    plt.show()\n",
    "    \n",
    "    # Compute ROC curve and AUC\n",
    "    fpr, tpr, thresholds = roc_curve(test_label_ml, probas)\n",
    "    roc_auc = auc(fpr, tpr)\n",
    "    roc_data[clf_name] = (fpr, tpr, roc_auc)\n",
    "    # Save the model as a .pkl file\n",
    "    pkl_filename = f'{clf_name.replace(\" \", \"_\")}.pkl'\n",
    "    joblib.dump(clf, pkl_filename)\n",
    "    print(f\"Saved {clf_name} model as {pkl_filename}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "605c77b0-bd53-4d24-8724-cf903697cf28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved MLP model as MLP.pkl\n"
     ]
    }
   ],
   "source": [
    "import joblib\n",
    "\n",
    "# Save the model as a .pkl file\n",
    "pkl_filename = f'{clf_name.replace(\" \", \"_\")}.pkl'\n",
    "joblib.dump(clf, pkl_filename)\n",
    "print(f\"Saved {clf_name} model as {pkl_filename}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80bb299e-f494-433d-9952-0551d0df64be",
   "metadata": {},
   "source": [
    "## Deep Learning "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "eb6dc00d-6691-4724-af50-3ea6406886e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Power</th>\n",
       "      <th>Spindle</th>\n",
       "      <th>vibration</th>\n",
       "      <th>roll_mean_Power</th>\n",
       "      <th>roll_std_Power</th>\n",
       "      <th>roll_min_Power</th>\n",
       "      <th>roll_max_Power</th>\n",
       "      <th>roll_EME_Power</th>\n",
       "      <th>roll_IQR_Power</th>\n",
       "      <th>roll_skew_Power</th>\n",
       "      <th>roll_mean_Spindle</th>\n",
       "      <th>roll_std_Spindle</th>\n",
       "      <th>roll_min_Spindle</th>\n",
       "      <th>roll_max_Spindle</th>\n",
       "      <th>roll_EME_Spindle</th>\n",
       "      <th>roll_IQR_Spindle</th>\n",
       "      <th>roll_skew_Spindle</th>\n",
       "      <th>roll_mean_vibration</th>\n",
       "      <th>roll_std_vibration</th>\n",
       "      <th>roll_min_vibration</th>\n",
       "      <th>roll_max_vibration</th>\n",
       "      <th>roll_EME_vibration</th>\n",
       "      <th>roll_IQR_vibration</th>\n",
       "      <th>roll_skew_vibration</th>\n",
       "      <th>Label_Numeric</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.704504</td>\n",
       "      <td>-0.656656</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>-5.243308</td>\n",
       "      <td>3.549036</td>\n",
       "      <td>-8.273532</td>\n",
       "      <td>0.237851</td>\n",
       "      <td>-0.850778</td>\n",
       "      <td>-0.454735</td>\n",
       "      <td>1.763536</td>\n",
       "      <td>-0.894810</td>\n",
       "      <td>-0.794447</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.891522</td>\n",
       "      <td>-0.561806</td>\n",
       "      <td>-0.672802</td>\n",
       "      <td>-0.718196</td>\n",
       "      <td>-0.338410</td>\n",
       "      <td>0.153263</td>\n",
       "      <td>-0.362442</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.157717</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>1.940044</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.693592</td>\n",
       "      <td>-0.270631</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>-3.705873</td>\n",
       "      <td>4.412749</td>\n",
       "      <td>-8.273532</td>\n",
       "      <td>0.237851</td>\n",
       "      <td>-0.570332</td>\n",
       "      <td>13.084977</td>\n",
       "      <td>0.318055</td>\n",
       "      <td>-0.789580</td>\n",
       "      <td>-0.504153</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.617958</td>\n",
       "      <td>-0.550103</td>\n",
       "      <td>-0.672802</td>\n",
       "      <td>1.657976</td>\n",
       "      <td>-0.275950</td>\n",
       "      <td>0.243939</td>\n",
       "      <td>-0.362442</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.155242</td>\n",
       "      <td>0.617664</td>\n",
       "      <td>0.317541</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.705959</td>\n",
       "      <td>-0.259266</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>-2.165217</td>\n",
       "      <td>4.414593</td>\n",
       "      <td>-8.273532</td>\n",
       "      <td>0.238714</td>\n",
       "      <td>-0.288709</td>\n",
       "      <td>13.110000</td>\n",
       "      <td>-0.762990</td>\n",
       "      <td>-0.681253</td>\n",
       "      <td>-0.433614</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.609904</td>\n",
       "      <td>-0.537702</td>\n",
       "      <td>-0.252914</td>\n",
       "      <td>-0.069784</td>\n",
       "      <td>-0.213490</td>\n",
       "      <td>0.243939</td>\n",
       "      <td>-0.362442</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.152767</td>\n",
       "      <td>0.617664</td>\n",
       "      <td>-0.895892</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.685590</td>\n",
       "      <td>-0.656656</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>-0.629865</td>\n",
       "      <td>3.544424</td>\n",
       "      <td>-8.273532</td>\n",
       "      <td>0.238714</td>\n",
       "      <td>-0.009022</td>\n",
       "      <td>-0.411362</td>\n",
       "      <td>-2.208437</td>\n",
       "      <td>-0.681253</td>\n",
       "      <td>-0.433614</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.609904</td>\n",
       "      <td>-0.537702</td>\n",
       "      <td>-0.252914</td>\n",
       "      <td>-0.069784</td>\n",
       "      <td>-0.151029</td>\n",
       "      <td>0.153263</td>\n",
       "      <td>-0.362442</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.150292</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-2.518395</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.692137</td>\n",
       "      <td>-0.643987</td>\n",
       "      <td>-0.084409</td>\n",
       "      <td>0.907191</td>\n",
       "      <td>-0.300801</td>\n",
       "      <td>1.455817</td>\n",
       "      <td>0.238714</td>\n",
       "      <td>0.271287</td>\n",
       "      <td>-0.426376</td>\n",
       "      <td>-0.175717</td>\n",
       "      <td>-0.677799</td>\n",
       "      <td>-0.437396</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>-0.609904</td>\n",
       "      <td>-0.537689</td>\n",
       "      <td>-0.252914</td>\n",
       "      <td>-0.072604</td>\n",
       "      <td>-0.088569</td>\n",
       "      <td>-0.250196</td>\n",
       "      <td>-0.012533</td>\n",
       "      <td>-0.163626</td>\n",
       "      <td>-0.147817</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-0.289175</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26121</th>\n",
       "      <td>0.433161</td>\n",
       "      <td>1.635646</td>\n",
       "      <td>0.064349</td>\n",
       "      <td>0.487805</td>\n",
       "      <td>-0.085733</td>\n",
       "      <td>0.482722</td>\n",
       "      <td>0.092613</td>\n",
       "      <td>0.123167</td>\n",
       "      <td>-0.424707</td>\n",
       "      <td>-2.186625</td>\n",
       "      <td>1.446901</td>\n",
       "      <td>1.115797</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>0.989496</td>\n",
       "      <td>1.002605</td>\n",
       "      <td>0.851926</td>\n",
       "      <td>-1.851743</td>\n",
       "      <td>0.067581</td>\n",
       "      <td>-0.250196</td>\n",
       "      <td>0.162422</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.132349</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-0.289175</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26122</th>\n",
       "      <td>0.438496</td>\n",
       "      <td>-0.640820</td>\n",
       "      <td>0.064349</td>\n",
       "      <td>0.577024</td>\n",
       "      <td>-0.298003</td>\n",
       "      <td>1.039291</td>\n",
       "      <td>0.092613</td>\n",
       "      <td>0.153365</td>\n",
       "      <td>-0.431936</td>\n",
       "      <td>0.896485</td>\n",
       "      <td>0.763519</td>\n",
       "      <td>1.291478</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>0.989496</td>\n",
       "      <td>0.502827</td>\n",
       "      <td>1.803361</td>\n",
       "      <td>-0.560021</td>\n",
       "      <td>0.067581</td>\n",
       "      <td>-0.250196</td>\n",
       "      <td>0.162422</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.132349</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-0.289175</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26123</th>\n",
       "      <td>0.451590</td>\n",
       "      <td>2.272624</td>\n",
       "      <td>0.064349</td>\n",
       "      <td>0.581002</td>\n",
       "      <td>-0.298183</td>\n",
       "      <td>1.039291</td>\n",
       "      <td>0.092613</td>\n",
       "      <td>0.154755</td>\n",
       "      <td>-0.424707</td>\n",
       "      <td>-0.097931</td>\n",
       "      <td>0.838480</td>\n",
       "      <td>1.431031</td>\n",
       "      <td>-0.436556</td>\n",
       "      <td>1.184371</td>\n",
       "      <td>0.623404</td>\n",
       "      <td>1.803361</td>\n",
       "      <td>-0.416993</td>\n",
       "      <td>0.067581</td>\n",
       "      <td>-0.250196</td>\n",
       "      <td>0.162422</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.132349</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-0.289175</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26124</th>\n",
       "      <td>0.436071</td>\n",
       "      <td>-0.075569</td>\n",
       "      <td>-0.010030</td>\n",
       "      <td>0.574877</td>\n",
       "      <td>-0.302332</td>\n",
       "      <td>1.039291</td>\n",
       "      <td>0.087868</td>\n",
       "      <td>0.152614</td>\n",
       "      <td>-0.431380</td>\n",
       "      <td>0.311312</td>\n",
       "      <td>0.996883</td>\n",
       "      <td>1.230144</td>\n",
       "      <td>-0.394501</td>\n",
       "      <td>1.184371</td>\n",
       "      <td>0.649921</td>\n",
       "      <td>1.188526</td>\n",
       "      <td>-0.394843</td>\n",
       "      <td>0.051966</td>\n",
       "      <td>-0.149331</td>\n",
       "      <td>0.074945</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.134050</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-2.518395</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26125</th>\n",
       "      <td>0.446498</td>\n",
       "      <td>2.333732</td>\n",
       "      <td>0.064349</td>\n",
       "      <td>0.574940</td>\n",
       "      <td>-0.302271</td>\n",
       "      <td>1.039291</td>\n",
       "      <td>0.087868</td>\n",
       "      <td>0.152636</td>\n",
       "      <td>-0.430824</td>\n",
       "      <td>0.291145</td>\n",
       "      <td>1.506474</td>\n",
       "      <td>1.522843</td>\n",
       "      <td>-0.394501</td>\n",
       "      <td>1.227676</td>\n",
       "      <td>1.253494</td>\n",
       "      <td>1.881381</td>\n",
       "      <td>-1.288836</td>\n",
       "      <td>0.051966</td>\n",
       "      <td>-0.149331</td>\n",
       "      <td>0.074945</td>\n",
       "      <td>-0.040807</td>\n",
       "      <td>-0.134050</td>\n",
       "      <td>-0.194306</td>\n",
       "      <td>-2.518395</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>26126 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Power   Spindle  vibration  roll_mean_Power  roll_std_Power  roll_min_Power  roll_max_Power  roll_EME_Power  roll_IQR_Power  roll_skew_Power  roll_mean_Spindle  roll_std_Spindle  roll_min_Spindle  roll_max_Spindle  roll_EME_Spindle  roll_IQR_Spindle  roll_skew_Spindle  roll_mean_vibration  roll_std_vibration  roll_min_vibration  roll_max_vibration  roll_EME_vibration  roll_IQR_vibration  roll_skew_vibration  Label_Numeric\n",
       "0      0.704504 -0.656656  -0.084409        -5.243308        3.549036       -8.273532        0.237851       -0.850778       -0.454735         1.763536          -0.894810         -0.794447         -0.436556         -0.891522         -0.561806         -0.672802          -0.718196            -0.338410            0.153263           -0.362442           -0.163626           -0.157717           -0.194306             1.940044              0\n",
       "1      0.693592 -0.270631  -0.084409        -3.705873        4.412749       -8.273532        0.237851       -0.570332       13.084977         0.318055          -0.789580         -0.504153         -0.436556         -0.617958         -0.550103         -0.672802           1.657976            -0.275950            0.243939           -0.362442           -0.163626           -0.155242            0.617664             0.317541              0\n",
       "2      0.705959 -0.259266  -0.084409        -2.165217        4.414593       -8.273532        0.238714       -0.288709       13.110000        -0.762990          -0.681253         -0.433614         -0.436556         -0.609904         -0.537702         -0.252914          -0.069784            -0.213490            0.243939           -0.362442           -0.163626           -0.152767            0.617664            -0.895892              0\n",
       "3      0.685590 -0.656656  -0.084409        -0.629865        3.544424       -8.273532        0.238714       -0.009022       -0.411362        -2.208437          -0.681253         -0.433614         -0.436556         -0.609904         -0.537702         -0.252914          -0.069784            -0.151029            0.153263           -0.362442           -0.163626           -0.150292           -0.194306            -2.518395              0\n",
       "4      0.692137 -0.643987  -0.084409         0.907191       -0.300801        1.455817        0.238714        0.271287       -0.426376        -0.175717          -0.677799         -0.437396         -0.436556         -0.609904         -0.537689         -0.252914          -0.072604            -0.088569           -0.250196           -0.012533           -0.163626           -0.147817           -0.194306            -0.289175              0\n",
       "...         ...       ...        ...              ...             ...             ...             ...             ...             ...              ...                ...               ...               ...               ...               ...               ...                ...                  ...                 ...                 ...                 ...                 ...                 ...                  ...            ...\n",
       "26121  0.433161  1.635646   0.064349         0.487805       -0.085733        0.482722        0.092613        0.123167       -0.424707        -2.186625           1.446901          1.115797         -0.436556          0.989496          1.002605          0.851926          -1.851743             0.067581           -0.250196            0.162422           -0.040807           -0.132349           -0.194306            -0.289175              0\n",
       "26122  0.438496 -0.640820   0.064349         0.577024       -0.298003        1.039291        0.092613        0.153365       -0.431936         0.896485           0.763519          1.291478         -0.436556          0.989496          0.502827          1.803361          -0.560021             0.067581           -0.250196            0.162422           -0.040807           -0.132349           -0.194306            -0.289175              0\n",
       "26123  0.451590  2.272624   0.064349         0.581002       -0.298183        1.039291        0.092613        0.154755       -0.424707        -0.097931           0.838480          1.431031         -0.436556          1.184371          0.623404          1.803361          -0.416993             0.067581           -0.250196            0.162422           -0.040807           -0.132349           -0.194306            -0.289175              0\n",
       "26124  0.436071 -0.075569  -0.010030         0.574877       -0.302332        1.039291        0.087868        0.152614       -0.431380         0.311312           0.996883          1.230144         -0.394501          1.184371          0.649921          1.188526          -0.394843             0.051966           -0.149331            0.074945           -0.040807           -0.134050           -0.194306            -2.518395              0\n",
       "26125  0.446498  2.333732   0.064349         0.574940       -0.302271        1.039291        0.087868        0.152636       -0.430824         0.291145           1.506474          1.522843         -0.394501          1.227676          1.253494          1.881381          -1.288836             0.051966           -0.149331            0.074945           -0.040807           -0.134050           -0.194306            -2.518395              0\n",
       "\n",
       "[26126 rows x 25 columns]"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "44a4edb0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.stats as stats\n",
    "\n",
    "frame_size = 30\n",
    "hop_size = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "b1ff4450",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_frames(df, frame_size, hop_size):\n",
    "    \n",
    "\n",
    "    N_FEATURES = 24\n",
    "\n",
    "    frames = []\n",
    "    labels = []\n",
    "    for i in range(0, len(df) - frame_size, hop_size):\n",
    "        N_AccX = df['Power'].values[i: i + frame_size]\n",
    "        N_AccY = df['Spindle'].values[i: i + frame_size]\n",
    "        N_AccZ = df['vibration'].values[i: i + frame_size]\n",
    "        N_GyroX = df['roll_mean_Power'].values[i: i + frame_size]\n",
    "        N_GyroY = df['roll_std_Power'].values[i: i + frame_size]\n",
    "        N_GyroZ = df['roll_min_Power'].values[i: i + frame_size]\n",
    "        T_AccX = df['roll_max_Power'].values[i: i + frame_size]\n",
    "        T_AccY = df['roll_EME_Power'].values[i: i + frame_size] \n",
    "        T_AccZ = df['roll_IQR_Power'].values[i: i + frame_size]\n",
    "        \n",
    "        roll_std_NAccX = df['roll_skew_Power'].values[i: i + frame_size]\n",
    "        roll_IQR_TGyroX = df['roll_mean_Spindle'].values[i: i + frame_size]\n",
    "        roll_EME_TGyrozz = df['roll_std_Spindle'].values[i: i + frame_size]\n",
    "        roll_EME_TGyroZ = df['roll_min_Spindle'].values[i: i + frame_size]\n",
    "        roll_EME_TGyroY = df['roll_max_Spindle'].values[i: i + frame_size]\n",
    "        roll_skew_NGyroZ = df['roll_EME_Spindle'].values[i: i + frame_size]\n",
    "        roll_max_NAccX = df['roll_IQR_Spindle'].values[i: i + frame_size]\n",
    "        roll_mad_NGyroZ = df['roll_skew_Spindle'].values[i: i + frame_size]\n",
    "        roll_mean_NGyroZ = df['roll_mean_vibration'].values[i: i + frame_size]\n",
    "        roll_max_NGyroX = df['roll_std_vibration'].values[i: i + frame_size]\n",
    "        roll_mean_NAccY = df['roll_min_vibration'].values[i: i + frame_size]\n",
    "        roll_mean_NAccX = df['roll_max_vibration'].values[i: i + frame_size]\n",
    "        roll_mad_NAccY = df['roll_EME_vibration'].values[i: i + frame_size]\n",
    "        roll_EME_TAccX = df['roll_IQR_vibration'].values[i: i + frame_size]\n",
    "        roll_kurt_NAccX = df['roll_skew_vibration'].values[i: i + frame_size]\n",
    "        \n",
    "        \n",
    "        # Retrieve the most often used label in this segment\n",
    "        label = stats.mode(df['Label_Numeric'][i: i + frame_size])[0][0]\n",
    "        frames.append([N_AccX,N_AccY,N_AccZ,N_GyroX,N_GyroY,N_GyroZ,T_AccX,T_AccY,T_AccZ,roll_std_NAccX,roll_IQR_TGyroX,roll_EME_TGyrozz,roll_EME_TGyroZ,roll_EME_TGyroY,roll_skew_NGyroZ, \n",
    "                       roll_max_NAccX,roll_mad_NGyroZ,roll_mean_NGyroZ,roll_max_NGyroX,roll_mean_NAccY,\n",
    "                       roll_mean_NAccX,roll_mad_NAccY,roll_EME_TAccX,roll_kurt_NAccX])\n",
    "        labels.append(label)\n",
    "\n",
    "    # Bring the segments into a better shape\n",
    "    frames = np.asarray(frames).reshape(-1, frame_size, N_FEATURES)\n",
    "    labels = np.asarray(labels)\n",
    "\n",
    "    return frames, labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "a2366efb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((2610, 30, 24), (2610,))"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X,y = get_frames(df, frame_size, hop_size)\n",
    "\n",
    "X.shape,y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "ffe155d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2610\n"
     ]
    }
   ],
   "source": [
    "print(len(X))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "e6a10db5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2610,)"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "30e23a61",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 0, stratify = y)\n",
    "V_train, end_test, vl_train, test_label = train_test_split(X_test, y_test, test_size = 0.5, random_state = 0, stratify = y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "75c82440",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of Train Features (2088, 30, 24)\n",
      "Shape of Train Labels (2088,)\n",
      "Shape of validation Features (261, 30, 24)\n",
      "Shape of validation Labels (261,)\n",
      "Shape of Test Features (261, 30, 24)\n",
      "Shape of Test Labels (261,)\n"
     ]
    }
   ],
   "source": [
    "print(\"Shape of Train Features\",X_train.shape)\n",
    "print(\"Shape of Train Labels\",y_train.shape)\n",
    "\n",
    "print(\"Shape of validation Features\",V_train.shape)\n",
    "print(\"Shape of validation Labels\",vl_train.shape)\n",
    "\n",
    "print(\"Shape of Test Features\",end_test.shape)\n",
    "print(\"Shape of Test Labels\",test_label.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5ad8b2c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import LSTM,Conv1D,Flatten\n",
    "from tensorflow.keras.layers import Dropout\n",
    "from tensorflow.keras.layers import Dense\n",
    "from tensorflow.keras.optimizers import SGD, Adam\n",
    "from tensorflow.keras import optimizers\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "719f4e3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_network():\n",
    "    model = Sequential()\n",
    "    model.add(Conv1D(filters=4, kernel_size=2, padding='same', strides=1, activation='relu', input_shape=X_train[0].shape))\n",
    "    model.add(Conv1D(filters=4, kernel_size=2, padding='same', strides=1, activation='relu'))\n",
    "    model.add(Conv1D(filters=4, kernel_size=2, padding='same', strides=1, activation='relu'))\n",
    "    model.add(Conv1D(filters=8, kernel_size=2, padding='same', strides=1, activation='relu'))\n",
    "    model.add(Conv1D(filters=8, kernel_size=2, padding='same', strides=1, activation='relu'))\n",
    "    model.add(Dropout(0.1))\n",
    "    model.add(Flatten())\n",
    "    model.add(Dropout(0.1))\n",
    "    model.add(Dense(8, activation='relu'))\n",
    "    model.add(Dense(8, activation='relu'))\n",
    "    model.add(Dense(1, activation='sigmoid'))\n",
    "\n",
    "    initial_learning_rate = 0.0001\n",
    "    lr_schedule = ExponentialDecay(\n",
    "        initial_learning_rate,\n",
    "        decay_steps=100000,\n",
    "        decay_rate=0.96,\n",
    "        staircase=True\n",
    "    )\n",
    "    \n",
    "    sgd = SGD(learning_rate=lr_schedule, momentum=0.9, nesterov=True)\n",
    "    adam = Adam(learning_rate=0.0001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, amsgrad=False, name='Adam')\n",
    "\n",
    "    model.compile(loss='binary_crossentropy', optimizer=sgd, metrics=['accuracy'])\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "81c84f29",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_network_lstm():\n",
    "    model = Sequential()\n",
    "    model.add(LSTM(16, return_sequences=True, input_shape=(X_train.shape[1], X_train.shape[2])))\n",
    "    model.add(LSTM(16, return_sequences=True))\n",
    "    model.add(Dropout(0.1))\n",
    "    model.add(LSTM(8, return_sequences=True))\n",
    "    model.add(LSTM(8, return_sequences=True))\n",
    "    model.add(Dropout(0.1))\n",
    "    model.add(LSTM(4, return_sequences=True))\n",
    "    model.add(LSTM(4, return_sequences=False))\n",
    "    model.add(Dropout(0.1))\n",
    "    model.add(Dense(8))\n",
    "    model.add(Dense(4))\n",
    "    model.add(Dense(1, activation='sigmoid'))\n",
    "\n",
    "    initial_learning_rate = 0.0001\n",
    "    lr_schedule = ExponentialDecay(\n",
    "        initial_learning_rate,\n",
    "        decay_steps=100000,\n",
    "        decay_rate=0.96,\n",
    "        staircase=True\n",
    "    )\n",
    "\n",
    "    sgd = SGD(learning_rate=lr_schedule, momentum=0.9, nesterov=True)\n",
    "    \n",
    "    model.compile(loss='binary_crossentropy', optimizer=sgd, metrics=['accuracy'])\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b6cf54b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#  Hybrid Model of 1D CNN and LSTM\n",
    " # LFLB1\n",
    "def creat_network_hybrid():\n",
    "    model = Sequential()\n",
    "    model.add(Conv1D(filters=4, kernel_size=2, padding='same' ,strides=1, activation='relu', input_shape = X_train[0].shape)) \n",
    "    model.add(Conv1D(filters=8, kernel_size=2, padding='same' ,strides=1, activation='relu'))\n",
    "    model.add(Dropout(0.1))\n",
    "\n",
    "    model.add(LSTM(16, return_sequences=True, input_shape= (X_train.shape[1], X_train.shape[2])))\n",
    "    model.add(LSTM(16, return_sequences=True))\n",
    "    model.add(Dropout(0.1))\n",
    "    model.add(Flatten())\n",
    "#     model.add(Dense(8, activation='relu'))\n",
    "#     model.add(Dense(8, activation='relu'))\n",
    "    model.add(Dense(1, activation='sigmoid'))\n",
    "    sgd = SGD(lr=0.0001, decay=1e-6, momentum=0.9, nesterov=True)\n",
    "    model.compile(loss='binary_crossentropy', optimizer=sgd, metrics=['accuracy'])\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "001b272a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import LSTM\n",
    "from tensorflow.keras.layers import Dropout\n",
    "from tensorflow.keras.layers import Dense,TimeDistributed,MaxPooling1D, Reshape\n",
    "from tensorflow.keras.optimizers import SGD\n",
    "from tensorflow.keras.optimizers.schedules import ExponentialDecay\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b51be740",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_2\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " conv1d_10 (Conv1D)          (None, 30, 4)             196       \n",
      "                                                                 \n",
      " conv1d_11 (Conv1D)          (None, 30, 4)             36        \n",
      "                                                                 \n",
      " conv1d_12 (Conv1D)          (None, 30, 4)             36        \n",
      "                                                                 \n",
      " conv1d_13 (Conv1D)          (None, 30, 8)             72        \n",
      "                                                                 \n",
      " conv1d_14 (Conv1D)          (None, 30, 8)             136       \n",
      "                                                                 \n",
      " dropout_4 (Dropout)         (None, 30, 8)             0         \n",
      "                                                                 \n",
      " flatten_2 (Flatten)         (None, 240)               0         \n",
      "                                                                 \n",
      " dropout_5 (Dropout)         (None, 240)               0         \n",
      "                                                                 \n",
      " dense_6 (Dense)             (None, 8)                 1928      \n",
      "                                                                 \n",
      " dense_7 (Dense)             (None, 8)                 72        \n",
      "                                                                 \n",
      " dense_8 (Dense)             (None, 1)                 9         \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2485 (9.71 KB)\n",
      "Trainable params: 2485 (9.71 KB)\n",
      "Non-trainable params: 0 (0.00 Byte)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = create_network()\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2c569167-15da-47a8-859e-da676d07bf5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "model1 = create_network_lsmt()\n",
    "model1.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b1e24fd1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv1d_5 (Conv1D)            (None, 30, 4)             196       \n",
      "_________________________________________________________________\n",
      "conv1d_6 (Conv1D)            (None, 30, 8)             72        \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 30, 8)             0         \n",
      "_________________________________________________________________\n",
      "lstm (LSTM)                  (None, 30, 16)            1600      \n",
      "_________________________________________________________________\n",
      "lstm_1 (LSTM)                (None, 30, 16)            2112      \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 30, 16)            0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 480)               0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 1)                 481       \n",
      "=================================================================\n",
      "Total params: 4,461\n",
      "Trainable params: 4,461\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model2 = creat_network_hybrid()\n",
    "model2.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "3a148feb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tensorflow.keras.utils import plot_model\n",
    "plot_model(model, \"my_first_model.png\", show_shapes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c497dbc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "class_weight = {0: 0.6686,\n",
    "            1: 1.3314\n",
    "               }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "879bb48c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import livelossplot\n",
    "#from livelossplot import PlotLossesKeras\n",
    "from livelossplot import PlotLossesKerasTF\n",
    "# from livelossplot.tf_keras import PlotLossesCallback\n",
    "plot_losses = livelossplot.PlotLossesKerasTF()\n",
    "plot_losses_hybrid = livelossplot.PlotLossesKerasTF()\n",
    "plot_losses_lstm = livelossplot.PlotLossesKerasTF()\n",
    "# plot_losses = livelossplot.PlotLossesKeras()\n",
    "from tensorflow.keras.callbacks import EarlyStopping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fb10ab14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy\n",
      "\ttraining         \t (min:    0.385, max:    0.931, cur:    0.924)\n",
      "\tvalidation       \t (min:    0.379, max:    0.883, cur:    0.870)\n",
      "Loss\n",
      "\ttraining         \t (min:    0.146, max:    0.637, cur:    0.158)\n",
      "\tvalidation       \t (min:    0.296, max:    0.705, cur:    0.331)\n",
      "Training time:  841.6880402565002\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "start_time = time.time()\n",
    "\n",
    "history = model.fit(X_train, y_train,  validation_data=(X_test, y_test), shuffle=True, epochs=250,batch_size=4,verbose=1,class_weight=class_weight,callbacks=[plot_losses])\n",
    "\n",
    "end_time = time.time()\n",
    "training_time = end_time - start_time\n",
    "print(\"Training time: \", training_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "957c4cad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy\n",
      "\ttraining         \t (min:    0.679, max:    0.877, cur:    0.870)\n",
      "\tvalidation       \t (min:    0.701, max:    0.851, cur:    0.847)\n",
      "Loss\n",
      "\ttraining         \t (min:    0.237, max:    0.478, cur:    0.244)\n",
      "\tvalidation       \t (min:    0.335, max:    0.533, cur:    0.343)\n"
     ]
    }
   ],
   "source": [
    "history_hybrid = model2.fit(X_train, y_train,  validation_data=(V_train, vl_train), shuffle=True, epochs=200,batch_size=4,verbose=1,class_weight=class_weight,callbacks=[plot_losses_hybrid])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "ea235096",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy\n",
      "\ttraining         \t (min:    0.375, max:    0.916, cur:    0.901)\n",
      "\tvalidation       \t (min:    0.375, max:    0.839, cur:    0.820)\n",
      "Loss\n",
      "\ttraining         \t (min:    0.191, max:    0.635, cur:    0.210)\n",
      "\tvalidation       \t (min:    0.351, max:    0.714, cur:    0.473)\n"
     ]
    }
   ],
   "source": [
    "history_lstm = model1.fit(X_train, y_train,  validation_data=(V_train, vl_train), shuffle=True, epochs=250,batch_size=4,verbose=1,class_weight=class_weight,callbacks=[plot_losses_lstm])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "91501e2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# model.save('CNN_model_hybrid.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9ee05940",
   "metadata": {},
   "outputs": [],
   "source": [
    "# model1.save('LSTM_model_hybrid.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "901e36f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# model2.save('hybrid_model.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "dfacdb2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from mlxtend.plotting import plot_confusion_matrix\n",
    "from sklearn.metrics import classification_report, accuracy_score, confusion_matrix\n",
    "import scikitplot as skplt\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "id": "f5f5ae7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow import keras\n",
    "\n",
    "model_cnn = keras.models.load_model('CNN_model_hybrid.h5')\n",
    "model_lstm = keras.models.load_model('LSTM_model_hybrid.h5')\n",
    "model_hybrid = keras.models.load_model('hybrid_model.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27203a62",
   "metadata": {},
   "source": [
    "# CNN _prediction:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "15ec3d9c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 2ms/step\n"
     ]
    }
   ],
   "source": [
    "# %%time\n",
    "# cnn_rounded_predictions = model_cnn.predict_proba(end_test)\n",
    "# cnn_rounded_predictions = (cnn_rounded_predictions > 0.5)\n",
    "\n",
    "cnn_rounded_predictions = model_cnn.predict(end_test)\n",
    "cnn_rounded_predictions = (cnn_rounded_predictions > 0.5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "cc41cdc1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9551    0.9085    0.9313       164\n",
      "           1     0.8571    0.9278    0.8911        97\n",
      "\n",
      "    accuracy                         0.9157       261\n",
      "   macro avg     0.9061    0.9182    0.9112       261\n",
      "weighted avg     0.9187    0.9157    0.9163       261\n",
      "\n",
      "0.9157088122605364\n",
      "[[149  15]\n",
      " [  7  90]]\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(test_label, cnn_rounded_predictions,digits=4))\n",
    "print(accuracy_score(test_label, cnn_rounded_predictions))\n",
    "cf_matrix = confusion_matrix(test_label, cnn_rounded_predictions)\n",
    "print(confusion_matrix(test_label, cnn_rounded_predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "f28d72a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skplt.metrics.plot_confusion_matrix(test_label, cnn_rounded_predictions)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "24243d5e-6b7f-4803-93b9-8f4b6d893e2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skplt.metrics.plot_confusion_matrix(test_label, cnn_rounded_predictions, normalize=True)\n",
    "plt.title(\"Normalized Confusion Matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aff62f97",
   "metadata": {},
   "source": [
    "# LSTM prediction:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "ace5a8b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 2s 8ms/step\n"
     ]
    }
   ],
   "source": [
    "lstm_rounded_predictions = model_lstm.predict(end_test)\n",
    "lstm_rounded_predictions = (lstm_rounded_predictions > 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "6510e6d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9321    0.9207    0.9264       164\n",
      "           1     0.8687    0.8866    0.8776        97\n",
      "\n",
      "    accuracy                         0.9080       261\n",
      "   macro avg     0.9004    0.9037    0.9020       261\n",
      "weighted avg     0.9085    0.9080    0.9082       261\n",
      "\n",
      "0.9080459770114943\n",
      "[[151  13]\n",
      " [ 11  86]]\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(test_label, lstm_rounded_predictions,digits=4))\n",
    "print(accuracy_score(test_label, lstm_rounded_predictions))\n",
    "cf_matrix = confusion_matrix(test_label, lstm_rounded_predictions)\n",
    "print(confusion_matrix(test_label, lstm_rounded_predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "efa9b08f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skplt.metrics.plot_confusion_matrix(test_label, lstm_rounded_predictions)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bacb65d4",
   "metadata": {},
   "source": [
    "# Hybrid _prediction:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "18b1fe19",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 4ms/step\n"
     ]
    }
   ],
   "source": [
    "hybrid_rounded_predictions = model_hybrid.predict(end_test)\n",
    "hybrid_rounded_predictions = (hybrid_rounded_predictions > 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "58ac8330",
   "metadata": {},
   "outputs": [],
   "source": [
    "# hybrid_rounded_predictions = hybrid_rounded_predictions*1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "798c90de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9653    0.8476    0.9026       164\n",
      "           1     0.7863    0.9485    0.8598        97\n",
      "\n",
      "    accuracy                         0.8851       261\n",
      "   macro avg     0.8758    0.8980    0.8812       261\n",
      "weighted avg     0.8988    0.8851    0.8867       261\n",
      "\n",
      "0.8850574712643678\n",
      "[[139  25]\n",
      " [  5  92]]\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(test_label, hybrid_rounded_predictions, digits=4))\n",
    "print(accuracy_score(test_label, hybrid_rounded_predictions))\n",
    "cf_matrix = confusion_matrix(test_label, hybrid_rounded_predictions)\n",
    "print(confusion_matrix(test_label, hybrid_rounded_predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "6a0d45a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skplt.metrics.plot_confusion_matrix(test_label, hybrid_rounded_predictions)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "412acc6b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e4d5f10c",
   "metadata": {},
   "source": [
    "# ROC curver Deep learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "id": "d017a717",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 2ms/step\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve\n",
    "y_pred_keras = model_cnn.predict(end_test).ravel()\n",
    "fpr_keras, tpr_keras, thresholds_keras = roc_curve(test_label, y_pred_keras)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "id": "0c6db7ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 1s 7ms/step\n"
     ]
    }
   ],
   "source": [
    "#LS\n",
    "y_pred_rf = model_lstm.predict(end_test).ravel()\n",
    "fpr_rf, tpr_rf, thresholds_rf = roc_curve(test_label, y_pred_rf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "id": "b1e73e62",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 3ms/step\n"
     ]
    }
   ],
   "source": [
    "# #LS\n",
    "y_pred_hb = model_hybrid.predict(end_test).ravel()\n",
    "fpr_hb, tpr_hb, thresholds_hb = roc_curve(test_label, y_pred_hb)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "id": "cedb2777",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import auc\n",
    "auc_keras = auc(fpr_keras, tpr_keras)\n",
    "auc_rf = auc(fpr_rf, tpr_rf)\n",
    "auc_hb = auc(fpr_hb, tpr_hb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "id": "e0eb3550",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1)\n",
    "plt.plot([0, 1], [0, 1], 'k--')\n",
    "plt.plot(fpr_keras, tpr_keras, label='CNN (area = {:.4f})'.format(auc_keras))\n",
    "plt.plot(fpr_rf, tpr_rf, label='LSTM (area = {:.4f})'.format(auc_rf))\n",
    "plt.plot(fpr_hb, tpr_hb, label='hybrid (area = {:.4f})'.format(auc_hb))\n",
    "\n",
    "plt.xlabel('False positive rate')\n",
    "plt.ylabel('True positive rate')\n",
    "plt.title('ROC curve')\n",
    "plt.legend(loc='best')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2818274f",
   "metadata": {},
   "source": [
    "# Deep Learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "id": "759fe588",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compute ROC curve and AUC\n",
    "from sklearn.metrics import auc\n",
    "\n",
    "fpr, tpr, thresholds = roc_curve(test_label_ml, probas)\n",
    "roc_auc = auc(fpr, tpr)\n",
    "roc_data[clf_name] = (fpr, tpr, roc_auc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "id": "364fa448",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 1ms/step\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve\n",
    "y_pred_keras = model_cnn.predict(end_test).ravel()\n",
    "fpr_keras, tpr_keras, thresholds_keras = roc_curve(test_label, y_pred_keras)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "id": "5f1c8f7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 7ms/step\n"
     ]
    }
   ],
   "source": [
    "#LS\n",
    "y_pred_rf = model_lstm.predict(end_test).ravel()\n",
    "fpr_rf, tpr_rf, thresholds_rf = roc_curve(test_label, y_pred_rf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "id": "9f9ce164",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 2ms/step\n"
     ]
    }
   ],
   "source": [
    "# #LS\n",
    "y_pred_hb = model_hybrid.predict(end_test).ravel()\n",
    "fpr_hb, tpr_hb, thresholds_hb = roc_curve(test_label, y_pred_hb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "id": "aa96f093-f299-4803-8e47-3a1b0f329a50",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to process and store ROC data for neural network models\n",
    "def add_nn_model_to_roc_data(model, model_name, end_test, test_label, roc_data):\n",
    "    probas = model.predict(end_test)[:, 0]  # Assuming binary classification and extracting probabilities for class 1\n",
    "    rounded_predictions = (probas > 0.5).astype(int)\n",
    "    print(f\"\\nClassifier: {model_name}\")\n",
    "    print(classification_report(test_label, rounded_predictions, digits=4))\n",
    "    print(f\"Accuracy: {accuracy_score(test_label, rounded_predictions)}\")\n",
    "    cf_matrix = confusion_matrix(test_label, rounded_predictions)\n",
    "    print(f\"Confusion Matrix:\\n{cf_matrix}\")\n",
    "    skplt.metrics.plot_confusion_matrix(test_label, rounded_predictions ,normalize=True)\n",
    "    plt.show()\n",
    "    fpr, tpr, thresholds = roc_curve(test_label, probas)\n",
    "    roc_auc = auc(fpr, tpr)\n",
    "    roc_data[model_name] = (fpr, tpr, roc_auc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "id": "b51f68c8-9531-4a17-9061-abc2a6183b72",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 1ms/step\n",
      "\n",
      "Classifier: CNN\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9551    0.9085    0.9313       164\n",
      "           1     0.8571    0.9278    0.8911        97\n",
      "\n",
      "    accuracy                         0.9157       261\n",
      "   macro avg     0.9061    0.9182    0.9112       261\n",
      "weighted avg     0.9187    0.9157    0.9163       261\n",
      "\n",
      "Accuracy: 0.9157088122605364\n",
      "Confusion Matrix:\n",
      "[[149  15]\n",
      " [  7  90]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 7ms/step\n",
      "\n",
      "Classifier: LSTM\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9321    0.9207    0.9264       164\n",
      "           1     0.8687    0.8866    0.8776        97\n",
      "\n",
      "    accuracy                         0.9080       261\n",
      "   macro avg     0.9004    0.9037    0.9020       261\n",
      "weighted avg     0.9085    0.9080    0.9082       261\n",
      "\n",
      "Accuracy: 0.9080459770114943\n",
      "Confusion Matrix:\n",
      "[[151  13]\n",
      " [ 11  86]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 3ms/step\n",
      "\n",
      "Classifier: Hybrid LSTM-CNN\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0     0.9653    0.8476    0.9026       164\n",
      "           1     0.7863    0.9485    0.8598        97\n",
      "\n",
      "    accuracy                         0.8851       261\n",
      "   macro avg     0.8758    0.8980    0.8812       261\n",
      "weighted avg     0.8988    0.8851    0.8867       261\n",
      "\n",
      "Accuracy: 0.8850574712643678\n",
      "Confusion Matrix:\n",
      "[[139  25]\n",
      " [  5  92]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Process and store ROC data for the CNN, LSTM, and hybrid models\n",
    "add_nn_model_to_roc_data(model_cnn, \"CNN\", end_test, test_label, roc_data)\n",
    "add_nn_model_to_roc_data(model_lstm, \"LSTM\", end_test, test_label, roc_data)\n",
    "add_nn_model_to_roc_data(model_hybrid, \"Hybrid LSTM-CNN\", end_test, test_label, roc_data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fd4f016-9d0e-4c6b-a801-7d26eb529b0f",
   "metadata": {},
   "source": [
    "## ROC of Machine Learning and Deep Learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "id": "08e5f87a-39eb-4525-8676-d2e0d37868fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot ROC curves\n",
    "plt.figure(1)\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.plot([0, 1], [0, 1], 'k--',lw=2)\n",
    "for clf_name, (fpr, tpr, roc_auc) in roc_data.items():\n",
    "    plt.plot(fpr, tpr, label=f'{clf_name} (area = {roc_auc:.4f})')\n",
    "\n",
    "plt.xlabel('False positive rate')\n",
    "plt.ylabel('True positive rate')\n",
    "plt.title('ROC curve')\n",
    "plt.legend(loc='best')\n",
    "# Save the plot as an image file\n",
    "plt.savefig('roc_curve.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "id": "f896ef54-40c3-4bf5-849f-9ce184e24b3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot ROC curves\n",
    "plt.figure(1)\n",
    "plt.figure(figsize=(8,8))\n",
    "plt.plot([0, 1], [0, 1], 'k--',lw=2)\n",
    "for clf_name, (fpr, tpr, roc_auc) in roc_data.items():\n",
    "    plt.plot(fpr, tpr, label=f'{clf_name} (area = {roc_auc:.4f})')\n",
    "\n",
    "plt.xlabel('False positive rate')\n",
    "plt.ylabel('True positive rate')\n",
    "plt.title('ROC curve')\n",
    "plt.legend(loc='best')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a0a59ff-c4d1-4838-930b-18bd75a91423",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "39430a2a-37f4-4400-8ba6-4cc445f78284",
   "metadata": {},
   "source": [
    "## T-test "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "id": "c705cdfa-7d3d-43e5-a2bc-e80f79812adf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load deep learning models\n",
    "model_cnn = keras.models.load_model('CNN_model_hybrid.h5')\n",
    "model_lstm = keras.models.load_model('LSTM_model_hybrid.h5')\n",
    "model_hybrid = keras.models.load_model('hybrid_model.h5')\n",
    "\n",
    "# Load machine learning models\n",
    "model_NB = joblib.load('Naive_Bayes.pkl')\n",
    "model_RF = joblib.load('Random_Forest.pkl')\n",
    "model_LR = joblib.load('Logistic_Regression.pkl')\n",
    "model_SVM = joblib.load('Support_Vector_Classifier.pkl')\n",
    "model_KNN = joblib.load('K-Nearest_Neighbors.pkl')\n",
    "model_DT = joblib.load('Decision_Tree.pkl')\n",
    "model_XGB = joblib.load('XGBoost.pkl')\n",
    "model_MLP = joblib.load('MLP.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "id": "ef9638a4-a797-4aec-911d-c6ba5815763c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9/9 [==============================] - 0s 2ms/step\n",
      "9/9 [==============================] - 2s 7ms/step\n",
      "9/9 [==============================] - 0s 3ms/step\n"
     ]
    }
   ],
   "source": [
    "# Make predictions on the test set for deep learning models\n",
    "cnn_predictions = model_cnn.predict(end_test)\n",
    "cnn_predictions = (cnn_predictions > 0.5).flatten()\n",
    "lstm_predictions = model_lstm.predict(end_test)\n",
    "lstm_predictions = (lstm_predictions > 0.5).flatten()\n",
    "hybrid_predictions = model_hybrid.predict(end_test)\n",
    "hybrid_predictions = (hybrid_predictions > 0.5).flatten()\n",
    "\n",
    "# Make predictions on the test set for machine learning models\n",
    "nb_predictions = model_NB.predict(end_test_ml)\n",
    "nb_predictions = (nb_predictions > 0.5).flatten()\n",
    "rf_predictions = model_RF.predict(end_test_ml)\n",
    "rf_predictions = (rf_predictions > 0.5).flatten()\n",
    "lr_predictions = model_LR.predict(end_test_ml)\n",
    "lr_predictions = (lr_predictions > 0.5).flatten()\n",
    "svm_predictions = model_SVM.predict(end_test_ml)\n",
    "svm_predictions = (svm_predictions > 0.5).flatten()\n",
    "knn_predictions = model_KNN.predict(end_test_ml)\n",
    "knn_predictions = (knn_predictions > 0.5).flatten()\n",
    "dt_predictions = model_DT.predict(end_test_ml)\n",
    "dt_predictions = (dt_predictions > 0.5).flatten()\n",
    "xgb_predictions = model_XGB.predict(end_test_ml)\n",
    "xgb_predictions = (xgb_predictions > 0.5).flatten()\n",
    "mlp_predictions = model_MLP.predict(end_test_ml)\n",
    "mlp_predictions = (mlp_predictions > 0.5).flatten()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "id": "70165d86-f10a-4401-852c-2450e5538832",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "# Function to calculate bootstrapped accuracies\n",
    "def bootstrap_accuracy(predictions, labels, n_iterations=1000):\n",
    "    accuracies = []\n",
    "    for _ in range(n_iterations):\n",
    "        indices = np.random.choice(range(len(labels)), size=len(labels), replace=True)\n",
    "        sample_predictions = predictions[indices]\n",
    "        sample_labels = labels[indices]\n",
    "        accuracy = accuracy_score(sample_labels, sample_predictions)\n",
    "        accuracies.append(accuracy)\n",
    "    return accuracies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "id": "c0ac8799-c272-4949-953f-6b9fa0a45d7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate bootstrapped accuracies\n",
    "cnn_bootstrap_accuracies = bootstrap_accuracy(cnn_predictions, test_label)\n",
    "lstm_bootstrap_accuracies = bootstrap_accuracy(lstm_predictions, test_label)\n",
    "hybrid_bootstrap_accuracies = bootstrap_accuracy(hybrid_predictions, test_label)\n",
    "nb_bootstrap_accuracies = bootstrap_accuracy(nb_predictions, test_label)\n",
    "rf_bootstrap_accuracies = bootstrap_accuracy(rf_predictions, test_label)\n",
    "lr_bootstrap_accuracies = bootstrap_accuracy(lr_predictions, test_label)\n",
    "svm_bootstrap_accuracies = bootstrap_accuracy(svm_predictions, test_label)\n",
    "knn_bootstrap_accuracies = bootstrap_accuracy(knn_predictions, test_label)\n",
    "dt_bootstrap_accuracies = bootstrap_accuracy(dt_predictions, test_label)\n",
    "xgb_bootstrap_accuracies = bootstrap_accuracy(xgb_predictions, test_label)\n",
    "mlp_bootstrap_accuracies = bootstrap_accuracy(mlp_predictions, test_label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "id": "3574f54e-8e25-4164-92c9-45ac19c506e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Perform paired t-tests\n",
    "\n",
    "def perform_t_tests(cnn_accuracies, model_accuracies):\n",
    "    results = []\n",
    "    for model_name, accuracies in model_accuracies.items():\n",
    "        if model_name != 'CNN':  # Exclude CNN vs CNN\n",
    "            t_statistic, p_value = ttest_rel(cnn_accuracies, accuracies)\n",
    "            results.append((model_name, t_statistic, p_value))\n",
    "    return results\n",
    "\n",
    "# Generate t-test results\n",
    "t_test_results = perform_t_tests(cnn_bootstrap_accuracies, model_accuracies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "id": "7810ec86-a109-4c92-8850-167f508b0338",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "model_accuracies = {\n",
    "    'CNN': cnn_bootstrap_accuracies,\n",
    "    'LSTM': lstm_bootstrap_accuracies,\n",
    "    'Hybrid': hybrid_bootstrap_accuracies,\n",
    "    'Naive Bayes': nb_bootstrap_accuracies,\n",
    "    'Random Forest': rf_bootstrap_accuracies,\n",
    "    'Logistic Regression': lr_bootstrap_accuracies,\n",
    "    'Support Vector Classifier': svm_bootstrap_accuracies,\n",
    "    'K-Nearest Neighbors': knn_bootstrap_accuracies,\n",
    "    'Decision Tree': dt_bootstrap_accuracies,\n",
    "    'XGBoost': xgb_bootstrap_accuracies,\n",
    "    'MLP': mlp_bootstrap_accuracies\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "id": "e23d71ec-070c-43a6-b24b-0e5cb8172399",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Paired t-test Results:\n",
      "CNN vs LSTM - t-statistic: 9.4632, p-value: 2.0721e-20\n",
      "The difference between CNN and LSTM is statistically significant (p < 0.05).\n",
      "CNN vs Hybrid - t-statistic: 36.8330, p-value: 2.7106e-188\n",
      "The difference between CNN and Hybrid is statistically significant (p < 0.05).\n",
      "CNN vs Naive Bayes - t-statistic: 377.6534, p-value: 0.0000e+00\n",
      "The difference between CNN and Naive Bayes is statistically significant (p < 0.05).\n",
      "CNN vs Random Forest - t-statistic: 353.1712, p-value: 0.0000e+00\n",
      "The difference between CNN and Random Forest is statistically significant (p < 0.05).\n",
      "CNN vs Logistic Regression - t-statistic: 345.0091, p-value: 0.0000e+00\n",
      "The difference between CNN and Logistic Regression is statistically significant (p < 0.05).\n",
      "CNN vs Support Vector Classifier - t-statistic: 323.3016, p-value: 0.0000e+00\n",
      "The difference between CNN and Support Vector Classifier is statistically significant (p < 0.05).\n",
      "CNN vs K-Nearest Neighbors - t-statistic: 331.7052, p-value: 0.0000e+00\n",
      "The difference between CNN and K-Nearest Neighbors is statistically significant (p < 0.05).\n",
      "CNN vs Decision Tree - t-statistic: 313.1611, p-value: 0.0000e+00\n",
      "The difference between CNN and Decision Tree is statistically significant (p < 0.05).\n",
      "CNN vs XGBoost - t-statistic: 349.6871, p-value: 0.0000e+00\n",
      "The difference between CNN and XGBoost is statistically significant (p < 0.05).\n",
      "CNN vs MLP - t-statistic: 342.2846, p-value: 0.0000e+00\n",
      "The difference between CNN and MLP is statistically significant (p < 0.05).\n"
     ]
    }
   ],
   "source": [
    "# Print t-test results\n",
    "print(\"\\nPaired t-test Results:\")\n",
    "for result in t_test_results:\n",
    "    model_name, t_statistic, p_value = result\n",
    "    print(f'CNN vs {model_name} - t-statistic: {t_statistic:.4f}, p-value: {p_value:.4e}')\n",
    "    print(f'The difference between CNN and {model_name} is statistically significant (p < 0.05).' if p_value < 0.05 else f'The difference between CNN and {model_name} is not statistically significant (p >= 0.05).')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "id": "6040f82b-7d22-4a60-815d-c021dda58329",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Box plot of accuracies\n",
    "data = [\n",
    "    cnn_bootstrap_accuracies, lstm_bootstrap_accuracies, hybrid_bootstrap_accuracies,\n",
    "    nb_bootstrap_accuracies, rf_bootstrap_accuracies, lr_bootstrap_accuracies,\n",
    "    svm_bootstrap_accuracies, knn_bootstrap_accuracies, dt_bootstrap_accuracies,\n",
    "    xgb_bootstrap_accuracies, mlp_bootstrap_accuracies\n",
    "]\n",
    "labels = [\n",
    "    'CNN', 'LSTM', 'Hybrid', 'Naive Bayes', 'Random Forest', 'Logistic Regression',\n",
    "    'Support Vector Classifier', 'K-Nearest Neighbors', 'Decision Tree', 'XGBoost', 'MLP'\n",
    "]\n",
    "\n",
    "plt.figure(figsize=(20,15))\n",
    "plt.boxplot(data, labels=labels)\n",
    "plt.title('Accuracy Distribution for Different Models')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "09e0b0df-6e5e-49bc-bd8c-cecfe984f4df",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}