diabetes_prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "import tensorflow as tf\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "from sklearn.svm import SVC , LinearSVC\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.ensemble import RandomForestClassifier , GradientBoostingClassifier , AdaBoostClassifier ,ExtraTreesClassifier \n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n",
    "import lightgbm as lgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"diabetes.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>116</td>\n",
       "      <td>74</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25.6</td>\n",
       "      <td>0.201</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>78</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>88</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.248</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35.3</td>\n",
       "      <td>0.134</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>197</td>\n",
       "      <td>70</td>\n",
       "      <td>45</td>\n",
       "      <td>543</td>\n",
       "      <td>30.5</td>\n",
       "      <td>0.158</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8</td>\n",
       "      <td>125</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.232</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pregnancies   Glucose   BloodPressure   SkinThickness   Insulin   BMI    \\\n",
       "0             6       148              72              35         0   33.6   \n",
       "1             1        85              66              29         0   26.6   \n",
       "2             8       183              64               0         0   23.3   \n",
       "3             1        89              66              23        94   28.1   \n",
       "4             0       137              40              35       168   43.1   \n",
       "5             5       116              74               0         0   25.6   \n",
       "6             3        78              50              32        88   31.0   \n",
       "7            10       115               0               0         0   35.3   \n",
       "8             2       197              70              45       543   30.5   \n",
       "9             8       125              96               0         0    0.0   \n",
       "\n",
       "   DiabetesPedigreeFunction   Age   Outcome  \n",
       "0                      0.627    50        1  \n",
       "1                      0.351    31        0  \n",
       "2                      0.672    32        1  \n",
       "3                      0.167    21        0  \n",
       "4                      2.288    33        1  \n",
       "5                      0.201    30        0  \n",
       "6                      0.248    26        1  \n",
       "7                      0.134    29        0  \n",
       "8                      0.158    53        1  \n",
       "9                      0.232    54        1  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">`Column Information`\n",
    "\n",
    "-`Information` about dataset attributes -\n",
    "\n",
    "-`Pregnancies`: To express the Number of pregnancies\n",
    "\n",
    "-`Glucose`: To express the Glucose level in blood\n",
    "\n",
    "-`BloodPressure`: To express the Blood pressure measurement\n",
    "\n",
    "-`SkinThickness`: To express the thickness of the skin\n",
    "\n",
    "-`Insulin`: To express the Insulin level in blood\n",
    "\n",
    "-`BMI`: To express the Body mass index\n",
    "\n",
    "-`DiabetesPedigreeFunction`: To express the Diabetes percentage\n",
    "\n",
    "-`Age`: To express the age\n",
    "\n",
    "-`Outcome`: To express the final result 1 is Yes and 0 is No"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">`Initial information about the dataset~`\n",
    "\n",
    "-Dataset contains 9 columns & 788 rows \n",
    "\n",
    "-All columns are numerical columns\n",
    "\n",
    "-Dataset Contains No null values , which makes it a clean dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pregnancies                  0\n",
       "Glucose                      0\n",
       "BloodPressure                0\n",
       "SkinThickness                0\n",
       "Insulin                      0\n",
       "BMI                          0\n",
       "DiabetesPedigreeFunction     0\n",
       "Age                          0\n",
       "Outcome                      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale=1.15)\n",
    "plt.figure(figsize=(10, 6))\n",
    "crr = data.corr()\n",
    "mask = np.zeros_like(crr)\n",
    "mask[np.triu_indices_from(mask)] = True\n",
    "sns.heatmap(crr, annot = True, linecolor = \"black\",cmap='gist_yarg_r', mask=mask ,cbar=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x2000 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20,20))\n",
    "sns.set_style(\"white\")\n",
    "sns.set_palette(\"bright\")\n",
    "plt.subplots_adjust(hspace=0.5)\n",
    "i = 1;\n",
    "for name in [cname for cname in data.columns]:\n",
    "    plt.subplot(5,2,i)\n",
    "    sns.histplot( data=data, x=name, hue=\"Outcome\",kde=True,palette=\"YlGnBu\" )\n",
    "    i = i + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAASYAAAEwCAYAAAAaS9xcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAkRklEQVR4nO3de1RU5f4/8DcMDJfwhqLgJbBAAgRM8R6lkqSloohiipqK1jmmq0INzVMWaSWplcvlnY5HlErAa2p2PGheOClaeQENb+UoCIgIjMwgM/v3h9/Zh3H8pQPIPAzv11pnHWbvzwzPrJi3z+zL57GRJEkCEZFAbC09ACKi+zGYiEg4DCYiEg6DiYiEw2AiIuEwmIhIOAwmIhIOg4mIhMNgIiLhMJjokf3888/w9fVFfHy8pYcCAEhPT4evry+2b98ub/P19cVrr71muUFRnbCz9ACI6tLixYvRunVrSw+DaonBRFYlIiLC0kOgOsCvckQkHAYT1YrhOE9WVhYWLlyI5557DoGBgRg2bBh27NhhVHvnzh18/PHHeOmllxAYGIjevXtj5syZOHfunFyjUqng6+uL9957z+R3jR8/Hv7+/n85nvuPMY0fPx4RERE4c+YMJk2ahGeffRbdunXD9OnTcfny5dq9eXps+FWO6sScOXPQvHlzxMbGQq/XY8OGDZg9ezbatGmDnj17AgDeeust/Pe//0VMTAw6duyI/Px8/Otf/8Lhw4exd+/ex3Zs6MaNG5g4cSLCw8MRHx+P8+fPIyUlBefPn8e+fftga8t/n0XDYKI60bx5c3z33Xews7v3JxUcHIyxY8ciPT0dPXv2RHFxMQ4ePIixY8dizpw58vOeeeYZLFu2DDk5OY8tmG7duoW5c+cazaQqKyuxZcsWHDt2DL169Xosv5dqjv9UUJ14+eWX5VACgMDAQABAUVERAMDFxQUuLi7Yt28ftmzZgps3bwIABg4ciN27d+OFF154rOMbNmyY0ePOnTsbjY/EwmCiOtGqVSujx0qlEgCg0+nkxwsXLoRGo8H8+fPRt29fDB8+HEuXLn3sx3psbW3h6ur6l+MjsTCYqE7Y2Ng8tGbQoEH46aefsGzZMkRGRqK0tBSrV6/GkCFD8OOPPz70+VVVVY9tbCQWBhPVC7VajZMnT6K8vBwvv/wyFi1ahP/85z/YuHEjAGDt2rUAIH8drKysNHkNfu1qPBhMVC8uXbqEV199FStXrjTaHhAQAKVSCYVCAQBo0aIF7O3tce7cOVRfJ+OXX37Bn3/+Wa9jJsvhWTmqF4GBgXj++eeRkpKCsrIydO/eHVqtFtu3b0dFRQUmT54MAHBwcMDgwYOxY8cOvPHGGwgLC4NKpcLmzZvRsWNHhlMjwWCievPFF19g3bp12LNnD/bv3w+FQoHOnTtjzZo1eP755+W6Dz74QD6Dd/ToUfj4+GDx4sXIzMzEpk2bLPgOqL7YcF05IhINjzERkXAYTEQkHAYTEQmHwUREwmEwEZFwGExEJByruo4pJCQElZWVcHNzs/RQiOgBCgsLoVQqkZWV9Zd1VhVMWq2Wd4sTCayqqgqPcumkVQWTodHY/v37LTwSInqQsLCwR6rjMSYiEg6DiYiEw2AiIuFY1TEmsi46nQ6HDh1CXl4ePDw8EBoaKvdtIuvGGRMJKT09Hd7e3ujfvz/Gjh2L/v37w9vbG+np6ZYeGtUDBhMJJz09HVFRUQgMDERmZibKysqQmZmJwMBAREVFMZwaAavqx2Q4FcnLBRounU4Hb29vBAYGYtu2bUaLUer1egwfPhxnzpxBbm4uv9Y1QI/6GeWMiYRy6NAhXLlyBfPmzTNZIdfW1hZz587F5cuXcejQIQuNkOoDg4mEkpeXB+B/C1Lez7DdUEfWicFEQvHw8AAAnDlz5oH7DdsNdWSdGEwklNDQUHh5eWHRokXQ6/VG+/R6PT755BN07NgRoaGhFhoh1QcGEwlFoVBgyZIl2LVrF4YPH250Vm748OHYtWsXPv/8cx74tnK8wJKEExkZidTUVMTFxaFPnz7y9o4dOyI1NRWRkZEWHB3VhxrNmH755ReMGzcOQUFB6NmzJ+Lj41FSUmJUc/jwYURFRaFLly4YOHAgkpOTH/haGzZsQHh4OIKDgxEVFYXMzMyaDImsTGRkJC5cuICMjAxs3rwZGRkZyM3NZSg1EmbPmFQqFSZPnowWLVrgnXfewa1bt5CUlASVSoWNGzfCxsYGx44dw+uvv46uXbti9uzZ+OWXX5CQkIDKykp5xVUAWLVqFZYtW4bIyEgEBQVh27ZtiI2NxaZNm9ClS5e6fJ/UACkUCvTr18/SwyBLkMy0cOFCyc/PT7py5Yq8LSUlRerUqZN0+PBhSZIkKSoqSoqIiJC0Wq1cExcXJ3Xt2lUqKyuTJEmSiouLpaCgIGnBggVyTUVFhRQeHi7FxMSYOyxJkiRpwIAB0oABA2r0XCJ6/B71M2r2V7nLly/Dw8MDnp6e8rbnnnsOAHD+/HmoVCqcOnUKkZGRUCqVck1MTAzKy8vlC+MyMjKg0WgQHR0t1zg6OmLkyJE4fvw4ioqKahy2RNSwmR1M7dq1Q1FREcrLy+VtKpUKANC8eXNkZ2cDAPz9/Y2eZ3hs2J+dnQ17e3t06tTJpE6SJOTk5Jg7NCKyEmYH05QpU9C0aVPMmTMHFy9exK+//oqPPvoI7dq1Q3h4OAoKCgAAbdq0MXqeUqlE8+bN5St2CwoK4ObmZnLbgWEhgfz8/Bq9ISJq+Mw++N2hQwfExsbik08+kW/Ea9asGTZv3gwXFxeo1WoAgJOTk8lzHRwcUFFRAQBQq9VwdHQ0qTFsu3PnjrlDIyIrYXYwLVmyBGvWrEG/fv0QERGB8vJyrFu3DhMnTsSmTZseugKCYYb0qHVE1PiYFUylpaX45z//iV69emH16tXy9rCwMAwePBifffYZevfuDQDQaDQmz9dqtXBxcQEAODs7Q6vVmtQYnmeoI6LGx6xpyZUrV1BZWYmXX37ZaHvLli3Rt29fHD9+XL65srCw0KimsrISJSUl8hJL7u7uKCwsNJk5GY5RGeqIqPExK5gMp/8ftKikTqeDJEnw8/MDAJOzavefrfP390dlZSUuXbpkVGd4nuF1iKjxMSuYfHx84ObmhrS0NFRVVcnb8/PzceTIEXTv3h3t27dHQEAAtmzZgrt378o1ycnJaNKkiXxXeL9+/aBUKrFp0ya5RqPRIC0tDb1794arq2tt3xsRNVBmHWNSKBSIj4/HrFmz8Oqrr2L48OEoLy9HcnIy9Ho93nnnHQBAXFwcYmNjMXnyZAwdOhRZWVnYuXMn5s2bB2dnZwCAq6srpkyZgpUrV0Kr1SIoKAhbt27FtWvXkJiYWPfvlIgajBr1/M7IyMDKlSuRk5MDe3t79OjRA2+//TZ8fX3lmn//+9/48ssvceXKFbRt2xYTJkzAuHHjjF5Hr9dj9erV+Pbbb3Hr1i34+vrinXfeQa9evWr0Ztjzm0hsj/oZ5WIERFRvuBgBETVYbBRHwuJKvI0XZ0wkJK7E27gxmEg4XImXePCbhMKVeK0bD35Tg8SVeAlgMJFguBIvAQwmEgxX4iWAwUSC4Uq8BDCYSDBciZcAXmBJAuJKvMRgIiFFRkYiIiKCV343UgwmEhZX4m28eIyJiITDYCIi4TCYiEg4DCYiEg4PfpOw2I+p8eKMiYTEfkyNG4OJhMN+TMR+TCQU9mOybuzHRA0S+zERwGAiwbAfEwEMJhIM+zERwGAiwbAfEwEMJhIM+zERwAssSUDsx0QMJhIS+zE1bgwmEhb7MTVePMZERMJhMBGRcBhMRCQcBhMRCYfBRETCYTARkXBqFEw3btxAXFwcevTogZ49e2L69OlQqVRGNTt37sSQIUMQHByMIUOGYPfu3SavU1lZiS+++AL9+/dHly5dMH78eGRnZ9fsnRCR1TA7mEpLSzFu3DhkZmYiNjYWU6ZMQVZWFl577TWo1WoA90Jp1qxZePLJJzF37lx4eHjg7bffxg8//GD0WgkJCVizZg1efPFFzJ49Gzdv3sT48eNx9erVunl31KDpdDocOHAAKSkpOHDgAHQ6naWHRPVFMtNnn30mBQQESDk5OfK2Y8eOSZ06dZK+++47qbKyUgoNDZWmTZsm6fV6SZIkSafTSWPHjpXCwsLkbbm5uVKnTp2ktWvXyq9z8+ZNqXv37lJ8fLy5w5IkSZIGDBggDRgwoEbPJbGkpaVJXl5eEgD5f15eXlJaWpqlh0a18KifUbNmTJIkYceOHRg8eDCeeeYZeXv37t0xffp0tG3bFidPnsSNGzcwevRo2NjYALjX4Gvs2LG4evUqTp8+DQDYs2cPbG1tMXr0aPl1XF1dMWjQIOzbtw9VVVW1Dl1qmNhal8wKJpVKhcLCQvTu3RvAvTYUFRUVAICZM2eib9++8jGigIAAo+f6+/sDgLz/7NmzaN++PZo2bWpUFxAQgPLycvz55581eDvU0Ol0OsTFxWHIkCHYtm0bevXqBRcXF/Tq1Qvbtm3DkCFDMGvWLH6ts3JmBdOVK1cAAE2bNsWCBQvQtWtXdOnSBVFRUTh37hwAoKCgADY2NmjdurXRc93c3AD8r/NgQUEB2rRpY/I7DHX5+fnmvROyCmytS4CZwVRWVgYAWLx4Mc6ePYuEhAQsWLAA+fn5mDhxIm7cuAG1Wg2lUmnyR+Xo6AgA8gxLrVbL2x5Ud+fOHfPfDTV4bK1LgJndBSorK+X/37hxoxwiXbp0wYgRI/D1119DesiiK/cHVm3ryLpUb63bvXt3k7YnbK3bOJgVTE5OTgCAwYMHG812/Pz84OPjg+PHjyMkJASVlZXQ6/VG4aLRaAAALi4uAABnZ2dotVqT33F/HTUuhta6M2bMQGFhIf744w95n6enJ9zc3NhatxEwa1piOCbUokULk32urq5Qq9Xw8PCAJEkoKioy2l9QUAAA8rEnd3d3edtf1VHjolAoMGrUKGRlZUGj0WDNmjW4fv061qxZA41Gg6ysLERFRbFhnJUzK5i8vb1hb2+Py5cvm+y7du0aPDw84OfnBwDIyckx2m94bDg75+/vj6tXr6K8vNyoLjs7Gy4uLvD09DRnaGQldDodtmzZgpCQEDg5OWHatGlo27Ytpk2bBmdnZ4SEhCA1NZVn5aycWcHk4uKC0NBQ7N27F9evX5e3Hzx4EFevXsWLL76Ibt26oWXLlkhJSZH36/V6bN68GV5eXvJlBAMHDoROp8O3334r1xUXF2Pv3r0YNGiQfA0UNS6Gs3LLly/HhQsXkJGRgc2bNyMjIwO5ubn46quveFauETC7te7s2bMRHR2NcePGYfz48VCr1UhKSkKnTp0watQo2NnZ4e2338b8+fPx5ptv4oUXXsCPP/6IEydOYPny5XLgPPPMMxg2bBiWLl2KoqIidOjQAcnJyQCAN954o27fJTUY1c/KPai1Ls/KNQ5mB9NTTz2FlJQUJCYmYvny5VAqlXjppZcwZ84cKJVKAMCoUaOg1+uRlJSEn376CZ6enli2bBkGDhxo9Foff/wxWrZsie3bt6OiogJBQUFYsmQJOnToUDfvjhqc6mflevXqZbKfZ+UaBxvpYef3G5CwsDAAwP79+y08EqopnU4Hb29vBAYGYtu2bUZndvV6PYYPH44zZ84gNzeXB8AboEf9jHKVFBKKYcHLqKgoREREYNCgQXByckJFRQX27t2L77//HqmpqQwlK8dgIuFERkZi1qxZWLp0KXbt2iVvVygUmDVrFhe8bAR4eTUJJz09HYmJidDr9Ubb9Xo9EhMT2V2gEWAwkVB0Oh0mTZoE4N5FtmvXrkVeXh7Wrl0rX3Q7adIkXsdk5RhMJJT9+/ejtLQUrq6uUKlUiI2Nhbu7O2JjY6FSqdCiRQuUlpbyBIeVYzCRUDZu3AgA+PDDD2FnZ3wI1M7ODgsWLDCqI+vEYCKhGG5R6tix4wP3e3l5GdWRdWIwkVCee+45AMC8efMeePD7H//4h1EdWScGEwllxowZsLW1xalTpzBs2DCjnt/Dhg3DqVOnYGtrixkzZlh6qPQY8TomEopSqURcXBwSExOxe/dufP/99/I+w1XgcXFx8u1PZJ04YyLhLF68GBERESbdUPV6PSIiIrB48WILjYzqC2dMJJz09HTs2LEDr7zyCry9vVFRUQEnJydcuHABO3bsQHp6Oq/+tnKcMZFQqi/flJqaCi8vLyiVSnh5eSE1NZXLNzUSnDGRUAyN4vr27YsmTZoYLXw6e/ZsjB49Wm4Ud3+vJrIenDGRUAwN4DZt2oSWLVsa3ZLSsmVLbN682aiOrBODiYTSqlUrAPcWvPjjjz/g7e2NjIwMeHt7448//pAXwjDUkXXiVzkSyunTpwHcW+3Zx8cHV69elfd16NABTZs2xa1bt3D69GmTjqhkPRhMJBTDCjzV15MzqB5SD1qph6wHv8qRUAz3wtVVHTVMDCYSiq+vr/zz/Vd3V39cvY6sD4OJhPLNN98YPR4zZgyWLFmCMWPG/GUdWRceYyKhXLlyBcC9xVXLy8vxzTffGIXQE088AbVaLdeRdWIwkVCcnJwA3Ou39KBbUgw39RrqyDrxqxwJpWvXrvLPkiQhOjoan3/+OaKjo41u6q1eR9aHMyYSimHBAQDYu3cvdu/eLT+uvvhl9TqyPpwxkVDc3d3ln+9ve1L9cfU6sj4MJhJKu3btAAA2Njawt7c32qdUKmFjY2NUR9aJX+VIKKGhofDy8oJCoTC5+lun0+Gpp56CXq9HaGiohUZI9YEzJhKKQqHAqFGjcPHiRbRs2RJxcXFYsWIF4uLi0LJlS1y8eBFRUVFQKBSWHio9RjbS/V/kG7CwsDAA4GKIDZhOp4O3tzdatWqFwsJCo1mTl5cXWrVqhZs3byI3N5fh1AA96meUX+VIKIZGcSkpKejevTsOHTqEvLw8eHh4IDQ0FMeOHUOfPn3YKM7KMZhIKIYGcJ07d4ZCoTAJn86dOxvVkXXiMSYSioeHBwDgzJkz0Ol0OHDgAFJSUnDgwAHodDqcOXPGqI6sE2dMJBTDWbkZM2aYHGPy9PSEm5sbOnbsyLNyVo4zJhKK4axcVlYWNBoN1qxZg+vXr2PNmjXQaDTIysriWblGoFbBtG3bNvj6+uLnn3822n748GFERUWhS5cuGDhwIJKTkx/4/A0bNiA8PBzBwcGIiopCZmZmbYZDVkCn02HLli0ICQmBk5MTpk2bhrZt22LatGlwdnZGSEgIUlNTuXyTlatxMBUXF+OTTz4x2X7s2DG8/vrrcHJywuzZsxEcHIyEhAQkJSUZ1a1atQqLFi1Ct27dEB8fD4VCgdjYWPz66681HRJZAcNZueXLl+P8+fNYtmwZ3nzzTSxbtgznzp3DV199JS/fRNarxseYFi5cCLVabbI9MTERPj4+WL9+PZRKJcaNGwcAWLFiBUaPHg0XFxfcunULK1euxNixY/HBBx8AAEaMGIGIiAgsWbIEGzdurOmwqIEznG27ePEiXn31VaO+S19++SU+/vhjozqyTjWaMf3000/Yu3cvpkyZYrRdpVLh1KlTiIyMNGqDGhMTg/LycvlfuYyMDGg0GkRHR8s1jo6OGDlyJI4fP46ioqKaDIusgOFsW0xMDDp37owVK1YgKSkJK1asQOfOnRETE2NUR9bJ7BmTWq3GggULMGHCBPj5+Rnty87OBgD4+/sbbTc8zs7OxuDBg5GdnQ17e3t06tTJpE6SJOTk5PCsSyPVp08f2NnZ4YknnsDp06exa9cueZ+npyeaNWsGtVqNPn36WHCU9LiZPWP64osvAAAzZsww2VdQUAAAaNOmjdF2pVKJ5s2by9PvgoICuLm5GfXXAQA3NzcAQH5+vrnDIitx9OhRVFVV4fbt20bLNQH3lm+6ffs2qqqqcPToUQuNkOqDWTOmU6dOITk5GatWrYKzs7PJfsMxpwe1PXVwcEBFRYVc5+joaFJj2Hbnzh1zhkVW5Nq1a/LPSqUSGo1Gflz9b6h6HVmfR54x3b17F++99x4GDRqEF1544YE1D7sf2DBDetQ6anwMs+WgoCDcunXL6KxccXExgoKCjOrIOj3yjGn9+vVQqVRYsmQJiouLAfxvhlRWVobbt2/Ls6jq/8oZaLVauLi4AACcnZ2h1WpNagzPM9RR42P429JoNPDz8zM5K2doHmeoI+v0yMF05MgR3LlzB0OHDjXZN336dLRr1w5z584FABQWFqJ9+/by/srKSpSUlMh9mt3d3XHw4EFIkiR3JAT+d4yK/ZwbL8Ns+ffffzeZOf/555/Q6/VGdWSdHjmY3n33XZSWlhpty8rKwooVK/Duu+8iODhYPuidk5ODZ599Vq67/2ydv78/KisrcenSJTz99NNyXU5ODgCYnO2jxqP62Vh7e3ujmXX1Y048a2vdHjmYDO0mqjMEVUBAALp16yb/vGXLFowaNUqedicnJ6NJkybyH1O/fv2gVCqxadMmvP/++wDuTd3T0tLQu3dvuLq61u5dkVUICwuDj4+PvK5cbm6u0aopZL3qvLtAXFwcYmNjMXnyZAwdOhRZWVnYuXMn5s2bJx+DcnV1xZQpU7By5UpotVoEBQVh69atuHbtGhITE+t6SNSAVL/VZM+ePUZBVP1r/6FDhxAeHl6vY6P6U+df1Pv27Yvly5ejpKQECQkJ+O233/D+++9j4sSJRnUzZ87EW2+9hSNHjmDRokXQ6/VYt26dfNaFyMHBwejxgy4xIevEnt8klH379uGll16Cq6srrl+/jszMTLm1bu/evdG2bVsUFxfjhx9+4IypAXrUzyhPbZBQDH2WiouLMXLkSJw9exYVFRU4e/YsRo4cKV8mwH5M1o0dLEkohktGAGD37t34/vvv5ccPurSErBNnTCSU6l0DqneoAIyPObG7gHVjMJFQDN0FmjVrBnd3d6N9bdq0QbNmzWBnZ8fuAlaOwURCYXcBAhhMJJjqXQMMt5886DG7C1g3BhMJ5VG7BrC7gHVjMJFQCgsL67SOGiYGEwnl+PHj8s+tW7c2WleueteJ6nVkfXgdEwnlwoULAO51FnB0dMS0adPkfZ6enrCzs0NVVZVcR9aJwUQWdenSJZSUlMiPDa1z7969iyeffBJjxoyBTqeDQqHA0aNH5SXDKyoqcPLkSQBA8+bN8dRTT9X72OnxYTCRxRQVFcHHx8fk7JvB4cOHcfjw4QfuKywslFvtKBQK5Ofno1WrVo9trFS/GExkMa1atUJubq7RjOnIkSOYOXMmgHu3oFS/x7z646+++gp9+/YFcG/GxFCyLuwuQELR6XRo2rTpX66U4+zsjNLSUt7I2wCxuwA1SAqF4qFLxG/cuJGhZOUYTCScyMhIpKWlwdPT02i7l5cX0tLSEBkZaaGRUX1hMJGQIiMjcfHiRaxevRoAsHr1aly4cIGh1EgwmEhYCoUCISEhAICQkBB+fWtEGExEJBwGExEJh8FERMJhMBGRcBhMRCQcBhMRCYfBRETCYTARkXAYTEQkHAYTEQmHwUREwmEwEZFwGExEJBwGExEJh8FERMJhMBGRcGoUTIcOHcKYMWMQFBSEbt264Y033sDFixeNag4fPoyoqCh06dIFAwcORHJy8gNfa8OGDQgPD0dwcDCioqKQmZlZkyERkRUxO5hOnjyJadOmQavVIi4uDlOnTsWpU6cwduxY5OfnAwCOHTuG119/HU5OTpg9ezaCg4ORkJCApKQko9datWoVFi1ahG7duiE+Ph4KhQKxsbH49ddf6+TNEVEDJZkpOjpaGjBggKTVauVtFy5ckAICAqSEhARJkiQpKipKioiIMKqJi4uTunbtKpWVlUmSJEnFxcVSUFCQtGDBArmmoqJCCg8Pl2JiYswdliRJkjRgwABpwIABNXouienEiRMSAOnEiROWHgrVgUf9jJo1Y9JoNDh9+jQGDRoEpVIpb3/66afh7e2N3377DSqVCqdOnUJkZKRRTUxMDMrLy3Ho0CEAQEZGBjQaDaKjo+UaR0dHjBw5EsePH0dRUVEtI5eIGiqzgkmpVGL37t2YMGGCyb6SkhIoFApkZ2cDAPz9/Y32Gx4b9mdnZ8Pe3h6dOnUyqZMkCTk5OeYMjYisiFnBZGtrC09PT7Rp08Zo+8GDB5GXl4dnn30WBQUFAGBSo1Qq0bx5c+Tl5QEACgoK4ObmBltb4yG4ubkBgHy8iogan1pfLnDz5k18+OGHcHR0xLhx46BWqwEATk5OJrUODg6oqKgAAKjVajg6OprUGLb91RLRRGTdahVMpaWlmDp1Kq5du4b58+ejffv2kCTpr3/h/82QHrWOiBqfGn/6i4uLMXHiRJw9exZvvvkmRo0aBQBwdnYGcO9A+f20Wi1cXFzkOq1Wa1JjeJ6hjoganxoFU1FRESZMmIDs7Gz87W9/w4wZM+R9Hh4eAIDCwkKj51RWVqKkpAStW7cGALi7u6OwsNBk5mQ4RmWoI6LGx+xgUqvViI2NRW5uLqZPn4633nrLaL+fnx8AmJxVu/9snb+/PyorK3Hp0iWjOsPzDK9DRI2P2cH06aefIicnB1OnTsXMmTNN9rdv3x4BAQHYsmUL7t69K29PTk5GkyZNEBoaCgDo168flEolNm3aJNdoNBqkpaWhd+/ecHV1rcn7ISIrYGdOsUqlQmpqKpo2bYqnn34a27dvN9rftGlT9O/fH3FxcYiNjcXkyZMxdOhQZGVlYefOnZg3b558DMrV1RVTpkzBypUrodVqERQUhK1bt+LatWtITEysu3dIRA2OWcF04sQJ6PV6lJaWIj4+3mS/j48P+vfvj759+2L58uX48ssvkZCQgLZt2+L999/HuHHjjOpnzpwJBwcHfPvtt9i1axd8fX2xbt06BAUF1e5dEVGDZiM97Lx9AxIWFgYA2L9/v4VHQnXl5MmT6NatG06cOIGuXbtaejhUS4/6GeXFQkQkHAYTEQmHwUREwmEwEZFwGExEJBwGExEJh8FERMJhMBGRcBhMRCQcs25JITJHbm4uysrKavUahm4Tte0B36RJE/j4+NTqNaj+MJjoscjNzTVZaKI2YmJiav0av//+O8OpgWAw0WNhmCklJyfXurfWrVu30KJFixo/PycnBzExMbWevVH9YTDRY+Xn58ebb8lsPPhNRMJhMBGRcBhMRCQcBhMRCYfBRETCYTARkXAYTEQkHAYTEQmHwUREwmEwEZFwGExEJBwGExEJh8FERMJhMBGRcBhMRCQcBhMRCYfBRETCYTARkXAYTEQkHAYTEQmHixHQY+PuAjiV5ADXLTsOp5IcuLtYdgxkHgYTPTavdwX8MmKADMuOw+//xkINh8WD6cqVK/j000+RlZUFe3t7vPLKK4iLi4OTk5Olh0a1tPokEP1BMvyeqd26crWVcy4Hq7+IwTCLjoLMYdFgunnzJiZMmAB7e3v8/e9/x+3bt5GUlASVSoVVq1ZZcmhUB/LLgYrmfkBby05XKvLvjYUaDosGU1JSEkpKSrB37160bdsWANC+fXvMnz8fx44dQ48ePSw5PCKyEIuelduzZw+ef/55OZQAYMSIEXB2dsaePXssODIisiSLBVNJSQmuXbsGf39/o+12dnbw9fVFdna2hUZGRJZmsa9yBQUFAIA2bdqY7HNzc8Nvv/1W30Oix+DkyZN/uV+lUqGsrKxWv6NJkyZo3779/3d/Tk5OrV6f6p/FgkmtVgPAA8++OTg4oKKior6HRHWoqqoKADB16lQLj+R/mjRpYukh0COyWDBJkvSX+21teVF6Q9ajRw/8/PPPsLP76z+x+pgxGWp8fHxq9Xuo/lgsmJydnQEAGo3GZJ9Wq8UTTzxR30OiOvYoZ1W7duWVj2TKYtMSDw8PAEBhYaHJvoKCArRu3bq+h0REgrBYMDVr1gzt2rUzOTBZVVWF33//HQEBARYaGRFZmkUP5ISHhyMjIwN5eXnytq1bt+LOnTsYPHiwBUdGRJZk0Su/Y2NjsW3bNsTExOC1117DzZs3sX79erz44osICQmx5NCIyIIsOmNq1aoVNm7ciCeffBKff/45UlNTER0djcTEREsOi4gszOLdBXx8fPD1119behhEJBBeLEREwrH4jKkuFRQUQKfTISwszNJDIaIHyMvLg0KheGidVc2YHBwcHnqlMRFZjp2dHRwcHB5aZyM97N4QIqJ6ZlUzJiKyDgwmIhIOg4mIhMNgIiLhMJiISDgMJiISDoOJiITDYCIi4TCYiEg4DCYiEg6DiYiEw2AiIuEwmKhBmDRpEj766CNLD4PqCYOJhLdixQocPXrU0sOgesTmRSSsqqoqLF26FOvXr7f0UKieccZEQtJqtRgxYgTWr1+PyZMnW3o4VM8YTCQkrVYLjUaDVatW4d1337X0cKie8ascCcnFxQV79uxhq+RGiv/VSUi2trawteWEvrHif3kiEg6DiYiEw2AiIuEwmIhIOAwmIhIOg4mIhMNgIiLhcIlwIhIOZ0xEJBwGExEJh8FERMJhMBGRcBhMRCQcBhMRCYfBRETCYTARkXAYTEQkHAYTEQmHwUREwmEwEZFw/h/Z0ATEjECt0AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def create_boxplots(df):\n",
    "    for col in df.columns:\n",
    "        plt.figure(figsize = (3,3))\n",
    "        plt.boxplot(df[col])\n",
    "        plt.title(col)\n",
    "        plt.show()\n",
    "create_boxplots(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Pregnancies',\n",
       " 'Glucose',\n",
       " 'BloodPressure',\n",
       " 'SkinThickness',\n",
       " 'Insulin',\n",
       " 'BMI',\n",
       " 'DiabetesPedigreeFunction',\n",
       " 'Age']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns = data.columns.str.strip()\n",
    "data.columns\n",
    "feature_names = [cname for cname in data.loc[:,:'Age'].columns]\n",
    "feature_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
      "0              6      148             72             35        0  33.6   \n",
      "1              1       85             66             29        0  26.6   \n",
      "2              8      183             64              0        0  23.3   \n",
      "3              1       89             66             23       94  28.1   \n",
      "4              0      137             40             35      168  43.1   \n",
      "..           ...      ...            ...            ...      ...   ...   \n",
      "763           10      101             76             48      180  32.9   \n",
      "764            2      122             70             27        0  36.8   \n",
      "765            5      121             72             23      112  26.2   \n",
      "766            1      126             60              0        0  30.1   \n",
      "767            1       93             70             31        0  30.4   \n",
      "\n",
      "     DiabetesPedigreeFunction  Age  Outcome  Age_Brack  \n",
      "0                       0.627   50        1          4  \n",
      "1                       0.351   31        0          3  \n",
      "2                       0.672   32        1          3  \n",
      "3                       0.167   21        0          2  \n",
      "4                       2.288   33        1          3  \n",
      "..                        ...  ...      ...        ...  \n",
      "763                     0.171   63        0          6  \n",
      "764                     0.340   27        0          2  \n",
      "765                     0.245   30        0          2  \n",
      "766                     0.349   47        1          4  \n",
      "767                     0.315   23        0          2  \n",
      "\n",
      "[768 rows x 10 columns]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Assuming data is your DataFrame and 'Age' is the column you want to modify\n",
    "# Create a new column 'Age_Brack' with default value 0\n",
    "data['Age_Brack'] = 0\n",
    "\n",
    "# Apply conditions and assign appropriate values\n",
    "data.loc[data['Age'] < 18, 'Age_Brack'] = 1\n",
    "data.loc[(data['Age'] >= 18) & (data['Age'] <= 30), 'Age_Brack'] = 2\n",
    "data.loc[(data['Age'] > 30) & (data['Age'] <= 40), 'Age_Brack'] = 3\n",
    "data.loc[(data['Age'] > 40) & (data['Age'] <= 50), 'Age_Brack'] = 4\n",
    "data.loc[(data['Age'] > 50) & (data['Age'] <= 60), 'Age_Brack'] = 5\n",
    "data.loc[(data['Age'] > 60) & (data['Age'] <= 70), 'Age_Brack'] = 6\n",
    "data.loc[(data['Age'] > 70) & (data['Age'] <= 80), 'Age_Brack'] = 7\n",
    "data.loc[(data['Age'] > 80) & (data['Age'] <= 150), 'Age_Brack'] = 8\n",
    "\n",
    "# Print the modified DataFrame\n",
    "print(data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([4, 3, 2, 5, 6, 7, 8], dtype=int64)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Age_Brack'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Outcome\n",
       "0    500\n",
       "1    268\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Outcome'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = data.drop(['Age','Outcome'],axis = 1 )\n",
    "y = data['Outcome']\n",
    "X_train , X_test , y_train , y_test = train_test_split(X,y , train_size = 0.7 , random_state = 42 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from imblearn.over_sampling import SMOTE\n",
    "\n",
    "# Assuming X_train and y_train are your feature and target training datasets\n",
    "smote = SMOTE()\n",
    "X_resampled, y_resampled = smote.fit_resample(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "Final_dataset = pd.DataFrame({'model':[],'accuracy':[],'precision':[],'recall':[],'f1':[]})\n",
    "\n",
    "#Creating a function \n",
    "def ML(model) :\n",
    "        #Creating a Pipeline\n",
    "        global Final_dataset\n",
    "        pipe = Pipeline(\n",
    "        [\n",
    "        ('scaler',MinMaxScaler()),\n",
    "        ('classifier',model)\n",
    "        ]\n",
    "        )\n",
    "        # Fit the pipeline to the data \n",
    "        pipe.fit(X_resampled , y_resampled)\n",
    "        # Make prediction\n",
    "        y_pred = pipe.predict(X_test)   \n",
    "       \n",
    "        #Evaluate the pipeline on the test data \n",
    "        accuracy = accuracy_score(y_test , y_pred)\n",
    "        precision = precision_score(y_test , y_pred)\n",
    "        recall = recall_score(y_test , y_pred)\n",
    "        f1 = f1_score(y_test , y_pred)\n",
    "        model_name = type(model).__name__    # get the string name of the class\n",
    "        print(model_name)\n",
    "        # Appending it in the dataframe for models comparison\n",
    "        new_row = {'model':model_name,'accuracy':accuracy , 'precision':precision,'recall':recall ,'f1': f1 }\n",
    "        print(new_row)\n",
    "        Final_dataset = pd.concat([Final_dataset , pd.DataFrame(new_row, index =[0])])  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "Log_reg_model = LogisticRegression( )\n",
    "SVC_Model = SVC()\n",
    "GaussianNB_Model = GaussianNB()\n",
    "RandomForest_Model = RandomForestClassifier()\n",
    "GradientBoosting_Model = GradientBoostingClassifier()\n",
    "AdaBoost_Model = AdaBoostClassifier()\n",
    "ExtraTreesClassifier_Model = ExtraTreesClassifier()\n",
    "XGBClassifier_Model = XGBClassifier()\n",
    "LightGBM_Model = lgb.LGBMClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogisticRegression\n",
      "{'model': 'LogisticRegression', 'accuracy': 0.7056277056277056, 'precision': 0.5588235294117647, 'recall': 0.7125, 'f1': 0.6263736263736264}\n",
      "SVC\n",
      "{'model': 'SVC', 'accuracy': 0.7012987012987013, 'precision': 0.5514018691588785, 'recall': 0.7375, 'f1': 0.6310160427807486}\n",
      "GaussianNB\n",
      "{'model': 'GaussianNB', 'accuracy': 0.7186147186147186, 'precision': 0.5789473684210527, 'recall': 0.6875, 'f1': 0.6285714285714286}\n",
      "RandomForestClassifier\n",
      "{'model': 'RandomForestClassifier', 'accuracy': 0.7272727272727273, 'precision': 0.5858585858585859, 'recall': 0.725, 'f1': 0.6480446927374302}\n",
      "GradientBoostingClassifier\n",
      "{'model': 'GradientBoostingClassifier', 'accuracy': 0.7229437229437229, 'precision': 0.58, 'recall': 0.725, 'f1': 0.6444444444444445}\n",
      "AdaBoostClassifier\n",
      "{'model': 'AdaBoostClassifier', 'accuracy': 0.7142857142857143, 'precision': 0.574468085106383, 'recall': 0.675, 'f1': 0.6206896551724138}\n",
      "ExtraTreesClassifier\n",
      "{'model': 'ExtraTreesClassifier', 'accuracy': 0.7229437229437229, 'precision': 0.5869565217391305, 'recall': 0.675, 'f1': 0.627906976744186}\n",
      "XGBClassifier\n",
      "{'model': 'XGBClassifier', 'accuracy': 0.6883116883116883, 'precision': 0.5384615384615384, 'recall': 0.7, 'f1': 0.608695652173913}\n",
      "[LightGBM] [Info] Number of positive: 349, number of negative: 349\n",
      "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000183 seconds.\n",
      "You can set `force_row_wise=true` to remove the overhead.\n",
      "And if memory is not enough, you can set `force_col_wise=true`.\n",
      "[LightGBM] [Info] Total Bins 776\n",
      "[LightGBM] [Info] Number of data points in the train set: 698, number of used features: 8\n",
      "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "LGBMClassifier\n",
      "{'model': 'LGBMClassifier', 'accuracy': 0.70995670995671, 'precision': 0.5643564356435643, 'recall': 0.7125, 'f1': 0.6298342541436464}\n"
     ]
    }
   ],
   "source": [
    "models = [Log_reg_model,SVC_Model,GaussianNB_Model,RandomForest_Model,GradientBoosting_Model,AdaBoost_Model,ExtraTreesClassifier_Model,XGBClassifier_Model,LightGBM_Model]\n",
    "for model in models :\n",
    "    ML(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>model</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.705628</td>\n",
       "      <td>0.558824</td>\n",
       "      <td>0.7125</td>\n",
       "      <td>0.626374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SVC</td>\n",
       "      <td>0.701299</td>\n",
       "      <td>0.551402</td>\n",
       "      <td>0.7375</td>\n",
       "      <td>0.631016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GaussianNB</td>\n",
       "      <td>0.718615</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>0.6875</td>\n",
       "      <td>0.628571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RandomForestClassifier</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>0.585859</td>\n",
       "      <td>0.7250</td>\n",
       "      <td>0.648045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GradientBoostingClassifier</td>\n",
       "      <td>0.722944</td>\n",
       "      <td>0.580000</td>\n",
       "      <td>0.7250</td>\n",
       "      <td>0.644444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AdaBoostClassifier</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.574468</td>\n",
       "      <td>0.6750</td>\n",
       "      <td>0.620690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ExtraTreesClassifier</td>\n",
       "      <td>0.722944</td>\n",
       "      <td>0.586957</td>\n",
       "      <td>0.6750</td>\n",
       "      <td>0.627907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>XGBClassifier</td>\n",
       "      <td>0.688312</td>\n",
       "      <td>0.538462</td>\n",
       "      <td>0.7000</td>\n",
       "      <td>0.608696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LGBMClassifier</td>\n",
       "      <td>0.709957</td>\n",
       "      <td>0.564356</td>\n",
       "      <td>0.7125</td>\n",
       "      <td>0.629834</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        model  accuracy  precision  recall        f1\n",
       "0          LogisticRegression  0.705628   0.558824  0.7125  0.626374\n",
       "0                         SVC  0.701299   0.551402  0.7375  0.631016\n",
       "0                  GaussianNB  0.718615   0.578947  0.6875  0.628571\n",
       "0      RandomForestClassifier  0.727273   0.585859  0.7250  0.648045\n",
       "0  GradientBoostingClassifier  0.722944   0.580000  0.7250  0.644444\n",
       "0          AdaBoostClassifier  0.714286   0.574468  0.6750  0.620690\n",
       "0        ExtraTreesClassifier  0.722944   0.586957  0.6750  0.627907\n",
       "0               XGBClassifier  0.688312   0.538462  0.7000  0.608696\n",
       "0              LGBMClassifier  0.709957   0.564356  0.7125  0.629834"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Final_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "from tensorflow.keras.layers import ReLU ,PReLU , LeakyReLU , ELU \n",
    "from tensorflow.keras.layers import Dropout\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "from tensorflow.keras.callbacks import EarlyStopping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "mmc = MinMaxScaler()\n",
    "X_train = mmc.fit_transform(X_train)\n",
    "X_test = mmc.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(((537, 8), (537,)), ((231, 8), (231,)))"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(X_train.shape, y_train.shape), (X_test.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "22/22 [==============================] - 2s 5ms/step - loss: 1.7676 - accuracy: 0.5358\n",
      "Epoch 2/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.9530 - accuracy: 0.5702\n",
      "Epoch 3/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.7496 - accuracy: 0.5888\n",
      "Epoch 4/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6536 - accuracy: 0.6562\n",
      "Epoch 5/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6787 - accuracy: 0.6662\n",
      "Epoch 6/50\n",
      "22/22 [==============================] - 0s 5ms/step - loss: 0.6370 - accuracy: 0.6461\n",
      "Epoch 7/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6634 - accuracy: 0.6691\n",
      "Epoch 8/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6692 - accuracy: 0.6605\n",
      "Epoch 9/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.5968 - accuracy: 0.6834\n",
      "Epoch 10/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6019 - accuracy: 0.6834\n",
      "Epoch 11/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6470 - accuracy: 0.6490\n",
      "Epoch 12/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.5794 - accuracy: 0.7049\n",
      "Epoch 13/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6373 - accuracy: 0.6877\n",
      "Epoch 14/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6118 - accuracy: 0.6920\n",
      "Epoch 15/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6658 - accuracy: 0.6590\n",
      "Epoch 16/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6526 - accuracy: 0.6146\n",
      "Epoch 17/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6251 - accuracy: 0.6418\n",
      "Epoch 18/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.6245 - accuracy: 0.6476\n",
      "Epoch 19/50\n",
      "22/22 [==============================] - 0s 4ms/step - loss: 0.6224 - accuracy: 0.6375\n",
      "Epoch 20/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.5831 - accuracy: 0.6905\n",
      "Epoch 21/50\n",
      "22/22 [==============================] - 0s 3ms/step - loss: 0.5967 - accuracy: 0.6819\n",
      "Epoch 22/50\n",
      "22/22 [==============================] - 0s 4ms/step - loss: 0.5950 - accuracy: 0.6791\n"
     ]
    }
   ],
   "source": [
    "early_stopping = EarlyStopping(monitor = 'accuracy' , patience = 10  ,restore_best_weights = True )\n",
    "\n",
    "model = Sequential([\n",
    "    Dense(64, activation='relu', input_shape=(X_train.shape[1],)),\n",
    "    Dense(32, activation='relu'),\n",
    "    Dense(1,activation = 'sigmoid')  # Classification output\n",
    "])\n",
    "\n",
    "# Compile the model\n",
    "model.compile(optimizer=Adam(learning_rate=0.01), loss = 'binary_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "model.history = model.fit(X_resampled , y_resampled, epochs = 50 ,callbacks = [early_stopping])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8/8 [==============================] - 0s 10ms/step\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(X_test)\n",
    "y_pred = (y_pred >= 0.3).astype(int) # I am keeping the threshold at 75% , above this the model will classify the out out as positive otherwise negative"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'model': 'ANN(5-Hidden)(0.7Cutoff)', 'accuracy': 0.3463203463203463, 'precision': 0.3463203463203463, 'recall': 1.0, 'f1': 0.5144694533762058}\n"
     ]
    }
   ],
   "source": [
    "accuracy = accuracy_score(y_test , y_pred)\n",
    "precision = precision_score(y_test , y_pred)\n",
    "recall = recall_score(y_test , y_pred)\n",
    "f1 = f1_score(y_test , y_pred)\n",
    "\n",
    "\n",
    "new_row = {'model':'ANN(5-Hidden)(0.7Cutoff)','accuracy':accuracy , 'precision':precision,'recall':recall ,'f1': f1 }\n",
    "print(new_row)\n",
    "Final_dataset = pd.concat([Final_dataset , pd.DataFrame(new_row, index =[0])]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "Final_models_summary = Final_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>model</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.705628</td>\n",
       "      <td>0.558824</td>\n",
       "      <td>0.7125</td>\n",
       "      <td>0.626374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SVC</td>\n",
       "      <td>0.701299</td>\n",
       "      <td>0.551402</td>\n",
       "      <td>0.7375</td>\n",
       "      <td>0.631016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GaussianNB</td>\n",
       "      <td>0.718615</td>\n",
       "      <td>0.578947</td>\n",
       "      <td>0.6875</td>\n",
       "      <td>0.628571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RandomForestClassifier</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>0.585859</td>\n",
       "      <td>0.7250</td>\n",
       "      <td>0.648045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GradientBoostingClassifier</td>\n",
       "      <td>0.722944</td>\n",
       "      <td>0.580000</td>\n",
       "      <td>0.7250</td>\n",
       "      <td>0.644444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AdaBoostClassifier</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>0.574468</td>\n",
       "      <td>0.6750</td>\n",
       "      <td>0.620690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ExtraTreesClassifier</td>\n",
       "      <td>0.722944</td>\n",
       "      <td>0.586957</td>\n",
       "      <td>0.6750</td>\n",
       "      <td>0.627907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>XGBClassifier</td>\n",
       "      <td>0.688312</td>\n",
       "      <td>0.538462</td>\n",
       "      <td>0.7000</td>\n",
       "      <td>0.608696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LGBMClassifier</td>\n",
       "      <td>0.709957</td>\n",
       "      <td>0.564356</td>\n",
       "      <td>0.7125</td>\n",
       "      <td>0.629834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ANN(5-Hidden)(0.7Cutoff)</td>\n",
       "      <td>0.653680</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ANN(5-Hidden)(0.7Cutoff)</td>\n",
       "      <td>0.346320</td>\n",
       "      <td>0.346320</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.514469</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        model  accuracy  precision  recall        f1\n",
       "0          LogisticRegression  0.705628   0.558824  0.7125  0.626374\n",
       "0                         SVC  0.701299   0.551402  0.7375  0.631016\n",
       "0                  GaussianNB  0.718615   0.578947  0.6875  0.628571\n",
       "0      RandomForestClassifier  0.727273   0.585859  0.7250  0.648045\n",
       "0  GradientBoostingClassifier  0.722944   0.580000  0.7250  0.644444\n",
       "0          AdaBoostClassifier  0.714286   0.574468  0.6750  0.620690\n",
       "0        ExtraTreesClassifier  0.722944   0.586957  0.6750  0.627907\n",
       "0               XGBClassifier  0.688312   0.538462  0.7000  0.608696\n",
       "0              LGBMClassifier  0.709957   0.564356  0.7125  0.629834\n",
       "0    ANN(5-Hidden)(0.7Cutoff)  0.653680   0.000000  0.0000  0.000000\n",
       "0    ANN(5-Hidden)(0.7Cutoff)  0.346320   0.346320  1.0000  0.514469"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Final_models_summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save('ANN_Model.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.11764706, 0.56281407, 0.6147541 , 0.50793651, 0.        ,\n",
       "       0.53204173, 0.02988898, 0.        ])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s 76ms/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[0]])"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val = model.predict([[0.11764706, 0.56281407, 0.6147541 , 0.50793651, 0,\n",
    "       0.53204173, 0.02988898, 0]])\n",
    "\n",
    "val_class = (val >= 0.7).astype(int)\n",
    "val_class"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.10.11"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}