Stroke Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "a9f191a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import classification_report,confusion_matrix\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.svm import SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bb920d71",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('/home/ahad/Desktop/healthcare-dataset-stroke-data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bd24e97d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>ever_married</th>\n",
       "      <th>work_type</th>\n",
       "      <th>Residence_type</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
       "      <th>smoking_status</th>\n",
       "      <th>stroke</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9046</td>\n",
       "      <td>Male</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>228.69</td>\n",
       "      <td>36.6</td>\n",
       "      <td>formerly smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51676</td>\n",
       "      <td>Female</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>202.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31112</td>\n",
       "      <td>Male</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>105.92</td>\n",
       "      <td>32.5</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60182</td>\n",
       "      <td>Female</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>171.23</td>\n",
       "      <td>34.4</td>\n",
       "      <td>smokes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1665</td>\n",
       "      <td>Female</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>174.12</td>\n",
       "      <td>24.0</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5105</th>\n",
       "      <td>18234</td>\n",
       "      <td>Female</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>83.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5106</th>\n",
       "      <td>44873</td>\n",
       "      <td>Female</td>\n",
       "      <td>81.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Urban</td>\n",
       "      <td>125.20</td>\n",
       "      <td>40.0</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5107</th>\n",
       "      <td>19723</td>\n",
       "      <td>Female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>82.99</td>\n",
       "      <td>30.6</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5108</th>\n",
       "      <td>37544</td>\n",
       "      <td>Male</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>166.29</td>\n",
       "      <td>25.6</td>\n",
       "      <td>formerly smoked</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5109</th>\n",
       "      <td>44679</td>\n",
       "      <td>Female</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Govt_job</td>\n",
       "      <td>Urban</td>\n",
       "      <td>85.28</td>\n",
       "      <td>26.2</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5110 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  gender   age  hypertension  heart_disease ever_married  \\\n",
       "0      9046    Male  67.0             0              1          Yes   \n",
       "1     51676  Female  61.0             0              0          Yes   \n",
       "2     31112    Male  80.0             0              1          Yes   \n",
       "3     60182  Female  49.0             0              0          Yes   \n",
       "4      1665  Female  79.0             1              0          Yes   \n",
       "...     ...     ...   ...           ...            ...          ...   \n",
       "5105  18234  Female  80.0             1              0          Yes   \n",
       "5106  44873  Female  81.0             0              0          Yes   \n",
       "5107  19723  Female  35.0             0              0          Yes   \n",
       "5108  37544    Male  51.0             0              0          Yes   \n",
       "5109  44679  Female  44.0             0              0          Yes   \n",
       "\n",
       "          work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
       "0           Private          Urban             228.69  36.6  formerly smoked   \n",
       "1     Self-employed          Rural             202.21   NaN     never smoked   \n",
       "2           Private          Rural             105.92  32.5     never smoked   \n",
       "3           Private          Urban             171.23  34.4           smokes   \n",
       "4     Self-employed          Rural             174.12  24.0     never smoked   \n",
       "...             ...            ...                ...   ...              ...   \n",
       "5105        Private          Urban              83.75   NaN     never smoked   \n",
       "5106  Self-employed          Urban             125.20  40.0     never smoked   \n",
       "5107  Self-employed          Rural              82.99  30.6     never smoked   \n",
       "5108        Private          Rural             166.29  25.6  formerly smoked   \n",
       "5109       Govt_job          Urban              85.28  26.2          Unknown   \n",
       "\n",
       "      stroke  \n",
       "0          1  \n",
       "1          1  \n",
       "2          1  \n",
       "3          1  \n",
       "4          1  \n",
       "...      ...  \n",
       "5105       0  \n",
       "5106       0  \n",
       "5107       0  \n",
       "5108       0  \n",
       "5109       0  \n",
       "\n",
       "[5110 rows x 12 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cb5b7dc",
   "metadata": {},
   "source": [
    "Checking the Dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "308c34ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5110 entries, 0 to 5109\n",
      "Data columns (total 12 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   id                 5110 non-null   int64  \n",
      " 1   gender             5110 non-null   object \n",
      " 2   age                5110 non-null   float64\n",
      " 3   hypertension       5110 non-null   int64  \n",
      " 4   heart_disease      5110 non-null   int64  \n",
      " 5   ever_married       5110 non-null   object \n",
      " 6   work_type          5110 non-null   object \n",
      " 7   Residence_type     5110 non-null   object \n",
      " 8   avg_glucose_level  5110 non-null   float64\n",
      " 9   bmi                4909 non-null   float64\n",
      " 10  smoking_status     5110 non-null   object \n",
      " 11  stroke             5110 non-null   int64  \n",
      "dtypes: float64(3), int64(4), object(5)\n",
      "memory usage: 479.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3b0d05b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
       "      <th>stroke</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5110.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "      <td>4909.000000</td>\n",
       "      <td>5110.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>36517.829354</td>\n",
       "      <td>43.226614</td>\n",
       "      <td>0.097456</td>\n",
       "      <td>0.054012</td>\n",
       "      <td>106.147677</td>\n",
       "      <td>28.893237</td>\n",
       "      <td>0.048728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>21161.721625</td>\n",
       "      <td>22.612647</td>\n",
       "      <td>0.296607</td>\n",
       "      <td>0.226063</td>\n",
       "      <td>45.283560</td>\n",
       "      <td>7.854067</td>\n",
       "      <td>0.215320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>67.000000</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>55.120000</td>\n",
       "      <td>10.300000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17741.250000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>77.245000</td>\n",
       "      <td>23.500000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>36932.000000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>91.885000</td>\n",
       "      <td>28.100000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>54682.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>114.090000</td>\n",
       "      <td>33.100000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>72940.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>271.740000</td>\n",
       "      <td>97.600000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id          age  hypertension  heart_disease  \\\n",
       "count   5110.000000  5110.000000   5110.000000    5110.000000   \n",
       "mean   36517.829354    43.226614      0.097456       0.054012   \n",
       "std    21161.721625    22.612647      0.296607       0.226063   \n",
       "min       67.000000     0.080000      0.000000       0.000000   \n",
       "25%    17741.250000    25.000000      0.000000       0.000000   \n",
       "50%    36932.000000    45.000000      0.000000       0.000000   \n",
       "75%    54682.000000    61.000000      0.000000       0.000000   \n",
       "max    72940.000000    82.000000      1.000000       1.000000   \n",
       "\n",
       "       avg_glucose_level          bmi       stroke  \n",
       "count        5110.000000  4909.000000  5110.000000  \n",
       "mean          106.147677    28.893237     0.048728  \n",
       "std            45.283560     7.854067     0.215320  \n",
       "min            55.120000    10.300000     0.000000  \n",
       "25%            77.245000    23.500000     0.000000  \n",
       "50%            91.885000    28.100000     0.000000  \n",
       "75%           114.090000    33.100000     0.000000  \n",
       "max           271.740000    97.600000     1.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "555cd1e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                     0\n",
       "gender                 0\n",
       "age                    0\n",
       "hypertension           0\n",
       "heart_disease          0\n",
       "ever_married           0\n",
       "work_type              0\n",
       "Residence_type         0\n",
       "avg_glucose_level      0\n",
       "bmi                  201\n",
       "smoking_status         0\n",
       "stroke                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "48ae92ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Duplicate Rows: \n"
     ]
    },
    {
     "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>id</th>\n",
       "      <th>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>ever_married</th>\n",
       "      <th>work_type</th>\n",
       "      <th>Residence_type</th>\n",
       "      <th>avg_glucose_level</th>\n",
       "      <th>bmi</th>\n",
       "      <th>smoking_status</th>\n",
       "      <th>stroke</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [id, gender, age, hypertension, heart_disease, ever_married, work_type, Residence_type, avg_glucose_level, bmi, smoking_status, stroke]\n",
       "Index: []"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicaterows = df[df.duplicated()]\n",
    "print(\"Duplicate Rows: \")\n",
    "duplicaterows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "25b66545",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['formerly smoked', 'never smoked', 'smokes', 'Unknown'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"smoking_status\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e0818f33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Urban', 'Rural'], dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Residence_type\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "29886913",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Private', 'Self-employed', 'Govt_job', 'children', 'Never_worked'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"work_type\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c4b3e3fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Yes', 'No'], dtype=object)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"ever_married\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3bba9bfa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"heart_disease\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "977da6af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"hypertension\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "b30e83ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Male', 'Female', 'Other'], dtype=object)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"gender\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "id": "decda50c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0])"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"stroke\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56dcd9b2",
   "metadata": {},
   "source": [
    "Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "3bea7f93",
   "metadata": {},
   "outputs": [],
   "source": [
    "labelencoder = LabelEncoder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "6072f117",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>hypertension</th>\n",
       "      <th>heart_disease</th>\n",
       "      <th>ever_married</th>\n",
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       "      <th>avg_glucose_level</th>\n",
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       "      <th>stroke</th>\n",
       "      <th>Smoking_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9046</td>\n",
       "      <td>Male</td>\n",
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       "      <td>Yes</td>\n",
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       "      <th>1</th>\n",
       "      <td>51676</td>\n",
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       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>202.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>Male</td>\n",
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       "      <td>Yes</td>\n",
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       "      <td>105.92</td>\n",
       "      <td>32.5</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60182</td>\n",
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       "      <td>49.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>Yes</td>\n",
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       "      <td>Urban</td>\n",
       "      <td>171.23</td>\n",
       "      <td>34.4</td>\n",
       "      <td>smokes</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1665</td>\n",
       "      <td>Female</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
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       "      <td>24.0</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>18234</td>\n",
       "      <td>Female</td>\n",
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       "      <td>1</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>83.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5106</th>\n",
       "      <td>44873</td>\n",
       "      <td>Female</td>\n",
       "      <td>81.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Urban</td>\n",
       "      <td>125.20</td>\n",
       "      <td>40.0</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5107</th>\n",
       "      <td>19723</td>\n",
       "      <td>Female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>82.99</td>\n",
       "      <td>30.6</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5108</th>\n",
       "      <td>37544</td>\n",
       "      <td>Male</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>166.29</td>\n",
       "      <td>25.6</td>\n",
       "      <td>formerly smoked</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>5109</th>\n",
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       "      <td>Female</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Govt_job</td>\n",
       "      <td>Urban</td>\n",
       "      <td>85.28</td>\n",
       "      <td>26.2</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5110 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  gender   age  hypertension  heart_disease ever_married  \\\n",
       "0      9046    Male  67.0             0              1          Yes   \n",
       "1     51676  Female  61.0             0              0          Yes   \n",
       "2     31112    Male  80.0             0              1          Yes   \n",
       "3     60182  Female  49.0             0              0          Yes   \n",
       "4      1665  Female  79.0             1              0          Yes   \n",
       "...     ...     ...   ...           ...            ...          ...   \n",
       "5105  18234  Female  80.0             1              0          Yes   \n",
       "5106  44873  Female  81.0             0              0          Yes   \n",
       "5107  19723  Female  35.0             0              0          Yes   \n",
       "5108  37544    Male  51.0             0              0          Yes   \n",
       "5109  44679  Female  44.0             0              0          Yes   \n",
       "\n",
       "          work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
       "0           Private          Urban             228.69  36.6  formerly smoked   \n",
       "1     Self-employed          Rural             202.21   NaN     never smoked   \n",
       "2           Private          Rural             105.92  32.5     never smoked   \n",
       "3           Private          Urban             171.23  34.4           smokes   \n",
       "4     Self-employed          Rural             174.12  24.0     never smoked   \n",
       "...             ...            ...                ...   ...              ...   \n",
       "5105        Private          Urban              83.75   NaN     never smoked   \n",
       "5106  Self-employed          Urban             125.20  40.0     never smoked   \n",
       "5107  Self-employed          Rural              82.99  30.6     never smoked   \n",
       "5108        Private          Rural             166.29  25.6  formerly smoked   \n",
       "5109       Govt_job          Urban              85.28  26.2          Unknown   \n",
       "\n",
       "      stroke  Smoking_Status  \n",
       "0          1               1  \n",
       "1          1               2  \n",
       "2          1               2  \n",
       "3          1               3  \n",
       "4          1               2  \n",
       "...      ...             ...  \n",
       "5105       0               2  \n",
       "5106       0               2  \n",
       "5107       0               2  \n",
       "5108       0               1  \n",
       "5109       0               0  \n",
       "\n",
       "[5110 rows x 13 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Smoking_Status'] = labelencoder.fit_transform(df['smoking_status'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "589da463",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>1</td>\n",
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       "      <th>3</th>\n",
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       "      <th>4</th>\n",
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       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>174.12</td>\n",
       "      <td>24.0</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>83.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>never smoked</td>\n",
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "      <th>5106</th>\n",
       "      <td>44873</td>\n",
       "      <td>Female</td>\n",
       "      <td>81.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Urban</td>\n",
       "      <td>125.20</td>\n",
       "      <td>40.0</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5107</th>\n",
       "      <td>19723</td>\n",
       "      <td>Female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>82.99</td>\n",
       "      <td>30.6</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5108</th>\n",
       "      <td>37544</td>\n",
       "      <td>Male</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>166.29</td>\n",
       "      <td>25.6</td>\n",
       "      <td>formerly smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5109</th>\n",
       "      <td>44679</td>\n",
       "      <td>Female</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Govt_job</td>\n",
       "      <td>Urban</td>\n",
       "      <td>85.28</td>\n",
       "      <td>26.2</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5110 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  gender   age  hypertension  heart_disease ever_married  \\\n",
       "0      9046    Male  67.0             0              1          Yes   \n",
       "1     51676  Female  61.0             0              0          Yes   \n",
       "2     31112    Male  80.0             0              1          Yes   \n",
       "3     60182  Female  49.0             0              0          Yes   \n",
       "4      1665  Female  79.0             1              0          Yes   \n",
       "...     ...     ...   ...           ...            ...          ...   \n",
       "5105  18234  Female  80.0             1              0          Yes   \n",
       "5106  44873  Female  81.0             0              0          Yes   \n",
       "5107  19723  Female  35.0             0              0          Yes   \n",
       "5108  37544    Male  51.0             0              0          Yes   \n",
       "5109  44679  Female  44.0             0              0          Yes   \n",
       "\n",
       "          work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
       "0           Private          Urban             228.69  36.6  formerly smoked   \n",
       "1     Self-employed          Rural             202.21   NaN     never smoked   \n",
       "2           Private          Rural             105.92  32.5     never smoked   \n",
       "3           Private          Urban             171.23  34.4           smokes   \n",
       "4     Self-employed          Rural             174.12  24.0     never smoked   \n",
       "...             ...            ...                ...   ...              ...   \n",
       "5105        Private          Urban              83.75   NaN     never smoked   \n",
       "5106  Self-employed          Urban             125.20  40.0     never smoked   \n",
       "5107  Self-employed          Rural              82.99  30.6     never smoked   \n",
       "5108        Private          Rural             166.29  25.6  formerly smoked   \n",
       "5109       Govt_job          Urban              85.28  26.2          Unknown   \n",
       "\n",
       "      stroke  Smoking_Status  Residence_Type  \n",
       "0          1               1               1  \n",
       "1          1               2               0  \n",
       "2          1               2               0  \n",
       "3          1               3               1  \n",
       "4          1               2               0  \n",
       "...      ...             ...             ...  \n",
       "5105       0               2               1  \n",
       "5106       0               2               1  \n",
       "5107       0               2               0  \n",
       "5108       0               1               0  \n",
       "5109       0               0               1  \n",
       "\n",
       "[5110 rows x 14 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Residence_Type'] = labelencoder.fit_transform(df['Residence_type'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "ed7433dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>32.5</td>\n",
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       "      <td>1</td>\n",
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       "      <th>3</th>\n",
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       "      <td>Yes</td>\n",
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       "      <td>Yes</td>\n",
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       "      <td>174.12</td>\n",
       "      <td>24.0</td>\n",
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       "      <td>80.0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Urban</td>\n",
       "      <td>125.20</td>\n",
       "      <td>40.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
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       "      <td>never smoked</td>\n",
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       "      <td>1</td>\n",
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       "      <th>5108</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
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       "      <td>25.6</td>\n",
       "      <td>formerly smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Govt_job</td>\n",
       "      <td>Urban</td>\n",
       "      <td>85.28</td>\n",
       "      <td>26.2</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5110 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  gender   age  hypertension  heart_disease ever_married  \\\n",
       "0      9046    Male  67.0             0              1          Yes   \n",
       "1     51676  Female  61.0             0              0          Yes   \n",
       "2     31112    Male  80.0             0              1          Yes   \n",
       "3     60182  Female  49.0             0              0          Yes   \n",
       "4      1665  Female  79.0             1              0          Yes   \n",
       "...     ...     ...   ...           ...            ...          ...   \n",
       "5105  18234  Female  80.0             1              0          Yes   \n",
       "5106  44873  Female  81.0             0              0          Yes   \n",
       "5107  19723  Female  35.0             0              0          Yes   \n",
       "5108  37544    Male  51.0             0              0          Yes   \n",
       "5109  44679  Female  44.0             0              0          Yes   \n",
       "\n",
       "          work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
       "0           Private          Urban             228.69  36.6  formerly smoked   \n",
       "1     Self-employed          Rural             202.21   NaN     never smoked   \n",
       "2           Private          Rural             105.92  32.5     never smoked   \n",
       "3           Private          Urban             171.23  34.4           smokes   \n",
       "4     Self-employed          Rural             174.12  24.0     never smoked   \n",
       "...             ...            ...                ...   ...              ...   \n",
       "5105        Private          Urban              83.75   NaN     never smoked   \n",
       "5106  Self-employed          Urban             125.20  40.0     never smoked   \n",
       "5107  Self-employed          Rural              82.99  30.6     never smoked   \n",
       "5108        Private          Rural             166.29  25.6  formerly smoked   \n",
       "5109       Govt_job          Urban              85.28  26.2          Unknown   \n",
       "\n",
       "      stroke  Smoking_Status  Residence_Type  Marital_Status  \n",
       "0          1               1               1               1  \n",
       "1          1               2               0               1  \n",
       "2          1               2               0               1  \n",
       "3          1               3               1               1  \n",
       "4          1               2               0               1  \n",
       "...      ...             ...             ...             ...  \n",
       "5105       0               2               1               1  \n",
       "5106       0               2               1               1  \n",
       "5107       0               2               0               1  \n",
       "5108       0               1               0               1  \n",
       "5109       0               0               1               1  \n",
       "\n",
       "[5110 rows x 15 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Marital_Status'] = labelencoder.fit_transform(df['ever_married'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "983d7e07",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>NaN</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5107</th>\n",
       "      <td>19723</td>\n",
       "      <td>Female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>82.99</td>\n",
       "      <td>30.6</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5108</th>\n",
       "      <td>37544</td>\n",
       "      <td>Male</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>166.29</td>\n",
       "      <td>25.6</td>\n",
       "      <td>formerly smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5109</th>\n",
       "      <td>44679</td>\n",
       "      <td>Female</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Govt_job</td>\n",
       "      <td>Urban</td>\n",
       "      <td>85.28</td>\n",
       "      <td>26.2</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5110 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  gender   age  hypertension  heart_disease ever_married  \\\n",
       "0      9046    Male  67.0             0              1          Yes   \n",
       "1     51676  Female  61.0             0              0          Yes   \n",
       "2     31112    Male  80.0             0              1          Yes   \n",
       "3     60182  Female  49.0             0              0          Yes   \n",
       "4      1665  Female  79.0             1              0          Yes   \n",
       "...     ...     ...   ...           ...            ...          ...   \n",
       "5105  18234  Female  80.0             1              0          Yes   \n",
       "5106  44873  Female  81.0             0              0          Yes   \n",
       "5107  19723  Female  35.0             0              0          Yes   \n",
       "5108  37544    Male  51.0             0              0          Yes   \n",
       "5109  44679  Female  44.0             0              0          Yes   \n",
       "\n",
       "          work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
       "0           Private          Urban             228.69  36.6  formerly smoked   \n",
       "1     Self-employed          Rural             202.21   NaN     never smoked   \n",
       "2           Private          Rural             105.92  32.5     never smoked   \n",
       "3           Private          Urban             171.23  34.4           smokes   \n",
       "4     Self-employed          Rural             174.12  24.0     never smoked   \n",
       "...             ...            ...                ...   ...              ...   \n",
       "5105        Private          Urban              83.75   NaN     never smoked   \n",
       "5106  Self-employed          Urban             125.20  40.0     never smoked   \n",
       "5107  Self-employed          Rural              82.99  30.6     never smoked   \n",
       "5108        Private          Rural             166.29  25.6  formerly smoked   \n",
       "5109       Govt_job          Urban              85.28  26.2          Unknown   \n",
       "\n",
       "      stroke  Smoking_Status  Residence_Type  Marital_Status  Gender  \n",
       "0          1               1               1               1       1  \n",
       "1          1               2               0               1       0  \n",
       "2          1               2               0               1       1  \n",
       "3          1               3               1               1       0  \n",
       "4          1               2               0               1       0  \n",
       "...      ...             ...             ...             ...     ...  \n",
       "5105       0               2               1               1       0  \n",
       "5106       0               2               1               1       0  \n",
       "5107       0               2               0               1       0  \n",
       "5108       0               1               0               1       1  \n",
       "5109       0               0               1               1       0  \n",
       "\n",
       "[5110 rows x 16 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Gender'] = labelencoder.fit_transform(df['gender'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "ec401660",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>61.0</td>\n",
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       "      <th>2</th>\n",
       "      <td>31112</td>\n",
       "      <td>Male</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>105.92</td>\n",
       "      <td>32.5</td>\n",
       "      <td>never smoked</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "      <td>49.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>171.23</td>\n",
       "      <td>34.4</td>\n",
       "      <td>smokes</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <th>4</th>\n",
       "      <td>1665</td>\n",
       "      <td>Female</td>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Rural</td>\n",
       "      <td>174.12</td>\n",
       "      <td>24.0</td>\n",
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       "      <td>2</td>\n",
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       "      <td>Female</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>Private</td>\n",
       "      <td>Urban</td>\n",
       "      <td>83.75</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Self-employed</td>\n",
       "      <td>Urban</td>\n",
       "      <td>125.20</td>\n",
       "      <td>40.0</td>\n",
       "      <td>never smoked</td>\n",
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       "      <th>5107</th>\n",
       "      <td>19723</td>\n",
       "      <td>Female</td>\n",
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       "      <td>37544</td>\n",
       "      <td>Male</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Private</td>\n",
       "      <td>Rural</td>\n",
       "      <td>166.29</td>\n",
       "      <td>25.6</td>\n",
       "      <td>formerly smoked</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>5109</th>\n",
       "      <td>44679</td>\n",
       "      <td>Female</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Govt_job</td>\n",
       "      <td>Urban</td>\n",
       "      <td>85.28</td>\n",
       "      <td>26.2</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "<p>5110 rows × 17 columns</p>\n",
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      ],
      "text/plain": [
       "         id  gender   age  hypertension  heart_disease ever_married  \\\n",
       "0      9046    Male  67.0             0              1          Yes   \n",
       "1     51676  Female  61.0             0              0          Yes   \n",
       "2     31112    Male  80.0             0              1          Yes   \n",
       "3     60182  Female  49.0             0              0          Yes   \n",
       "4      1665  Female  79.0             1              0          Yes   \n",
       "...     ...     ...   ...           ...            ...          ...   \n",
       "5105  18234  Female  80.0             1              0          Yes   \n",
       "5106  44873  Female  81.0             0              0          Yes   \n",
       "5107  19723  Female  35.0             0              0          Yes   \n",
       "5108  37544    Male  51.0             0              0          Yes   \n",
       "5109  44679  Female  44.0             0              0          Yes   \n",
       "\n",
       "          work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
       "0           Private          Urban             228.69  36.6  formerly smoked   \n",
       "1     Self-employed          Rural             202.21   NaN     never smoked   \n",
       "2           Private          Rural             105.92  32.5     never smoked   \n",
       "3           Private          Urban             171.23  34.4           smokes   \n",
       "4     Self-employed          Rural             174.12  24.0     never smoked   \n",
       "...             ...            ...                ...   ...              ...   \n",
       "5105        Private          Urban              83.75   NaN     never smoked   \n",
       "5106  Self-employed          Urban             125.20  40.0     never smoked   \n",
       "5107  Self-employed          Rural              82.99  30.6     never smoked   \n",
       "5108        Private          Rural             166.29  25.6  formerly smoked   \n",
       "5109       Govt_job          Urban              85.28  26.2          Unknown   \n",
       "\n",
       "      stroke  Smoking_Status  Residence_Type  Marital_Status  Gender  \\\n",
       "0          1               1               1               1       1   \n",
       "1          1               2               0               1       0   \n",
       "2          1               2               0               1       1   \n",
       "3          1               3               1               1       0   \n",
       "4          1               2               0               1       0   \n",
       "...      ...             ...             ...             ...     ...   \n",
       "5105       0               2               1               1       0   \n",
       "5106       0               2               1               1       0   \n",
       "5107       0               2               0               1       0   \n",
       "5108       0               1               0               1       1   \n",
       "5109       0               0               1               1       0   \n",
       "\n",
       "      Work_Type  \n",
       "0             2  \n",
       "1             3  \n",
       "2             2  \n",
       "3             2  \n",
       "4             3  \n",
       "...         ...  \n",
       "5105          2  \n",
       "5106          3  \n",
       "5107          3  \n",
       "5108          2  \n",
       "5109          0  \n",
       "\n",
       "[5110 rows x 17 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Work_Type'] = labelencoder.fit_transform(df['work_type'])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "206074fc",
   "metadata": {},
   "source": [
    "Gender(0-Female, 1-Male, 2-Other)\n",
    "\n",
    "Marital_Status(0-No, 1-Yes)\n",
    "\n",
    "Residence_Type(0-Rural, 1-Urban)\n",
    "\n",
    "Smoking_Status(0-Unknown, 1-Formerly Smoked, 2-Never Smoked, 3-Smokes)\n",
    "\n",
    "Work_Type(0-Govtjob, 1-Children, 2-Private, 3-Self Employed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "id": "db05da4d",
   "metadata": {},
   "outputs": [
    {
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       "      <td>24.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5105</th>\n",
       "      <td>80.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>83.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5106</th>\n",
       "      <td>81.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125.20</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5107</th>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>82.99</td>\n",
       "      <td>30.6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5108</th>\n",
       "      <td>51.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>166.29</td>\n",
       "      <td>25.6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5109</th>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85.28</td>\n",
       "      <td>26.2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5110 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age  hypertension  heart_disease  avg_glucose_level   bmi  stroke  \\\n",
       "0     67.0             0              1             228.69  36.6       1   \n",
       "1     61.0             0              0             202.21   NaN       1   \n",
       "2     80.0             0              1             105.92  32.5       1   \n",
       "3     49.0             0              0             171.23  34.4       1   \n",
       "4     79.0             1              0             174.12  24.0       1   \n",
       "...    ...           ...            ...                ...   ...     ...   \n",
       "5105  80.0             1              0              83.75   NaN       0   \n",
       "5106  81.0             0              0             125.20  40.0       0   \n",
       "5107  35.0             0              0              82.99  30.6       0   \n",
       "5108  51.0             0              0             166.29  25.6       0   \n",
       "5109  44.0             0              0              85.28  26.2       0   \n",
       "\n",
       "      Smoking_Status  Marital_Status  Gender  Work_Type  \n",
       "0                  1               1       1          2  \n",
       "1                  2               1       0          3  \n",
       "2                  2               1       1          2  \n",
       "3                  3               1       0          2  \n",
       "4                  2               1       0          3  \n",
       "...              ...             ...     ...        ...  \n",
       "5105               2               1       0          2  \n",
       "5106               2               1       0          3  \n",
       "5107               2               1       0          3  \n",
       "5108               1               1       1          2  \n",
       "5109               0               1       0          0  \n",
       "\n",
       "[5110 rows x 10 columns]"
      ]
     },
     "execution_count": 364,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df=df.drop(labels=['id', 'gender', 'ever_married', 'work_type', 'Residence_type', 'smoking_status', 'Residence_Type'], axis=1)\n",
    "new_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "id": "a538fac9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Gender', ylabel='bmi'>"
      ]
     },
     "execution_count": 365,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Gender', y='bmi', data=new_df, width=0.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9bf79c1",
   "metadata": {},
   "source": [
    "Filling missing values for BMI column based on Gender. Using median value of BMI of each gender to fill up the missing values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "id": "852489a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def FillBmiMissingValues(cols):\n",
    "    bmi = cols[0]\n",
    "    Gender = cols[1]\n",
    "    \n",
    "    if pd.isnull(bmi):\n",
    "        \n",
    "        if Gender == 0:\n",
    "            return new_df[new_df['Gender']==0]['bmi'].median()\n",
    "\n",
    "        elif Gender == 1:\n",
    "            return new_df[new_df['Gender']==1]['bmi'].median()\n",
    "        \n",
    "        else:\n",
    "            return new_df[new_df['Gender']==2]['bmi'].median()        \n",
    "\n",
    "    else:\n",
    "        return bmi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "id": "6cb312c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df['bmi'] = new_df[['bmi', 'Gender']].apply(FillBmiMissingValues,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "id": "de5f6fb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age                  0\n",
       "hypertension         0\n",
       "heart_disease        0\n",
       "avg_glucose_level    0\n",
       "bmi                  0\n",
       "stroke               0\n",
       "Smoking_Status       0\n",
       "Marital_Status       0\n",
       "Gender               0\n",
       "Work_Type            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 368,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7ad4407",
   "metadata": {},
   "source": [
    "Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "id": "bad5444c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fec17c8db80>"
      ]
     },
     "execution_count": 369,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 942.375x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(new_df, vars=['age', 'hypertension', 'heart_disease', 'avg_glucose_level', 'bmi'], hue='stroke', palette='Dark2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "id": "42b98937",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fec167612e0>"
      ]
     },
     "execution_count": 370,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 762.375x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(new_df, vars=['Smoking_Status', 'Marital_Status', 'Gender', 'Work_Type'], hue='stroke', palette='Dark2')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7119e7d5",
   "metadata": {},
   "source": [
    "Splitting the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "id": "4075cf44",
   "metadata": {},
   "outputs": [],
   "source": [
    "newdf_X = new_df.drop('stroke',axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "id": "24f5f725",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "      <th></th>\n",
       "      <th>age</th>\n",
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       "      <th>heart_disease</th>\n",
       "      <th>avg_glucose_level</th>\n",
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       "      <td>61.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>202.21</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
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       "      <th>2</th>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>105.92</td>\n",
       "      <td>32.5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>171.23</td>\n",
       "      <td>34.4</td>\n",
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       "      <td>0</td>\n",
       "      <td>2</td>\n",
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       "      <th>4</th>\n",
       "      <td>79.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>174.12</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>125.20</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "      <td>51.0</td>\n",
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      "text/plain": [
       "       age  hypertension  heart_disease  avg_glucose_level   bmi  \\\n",
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       "1     61.0             0              0             202.21  27.8   \n",
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       "...    ...           ...            ...                ...   ...   \n",
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       "5108  51.0             0              0             166.29  25.6   \n",
       "5109  44.0             0              0              85.28  26.2   \n",
       "\n",
       "      Smoking_Status  Marital_Status  Gender  Work_Type  \n",
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       "4                  2               1       0          3  \n",
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       "5107               2               1       0          3  \n",
       "5108               1               1       1          2  \n",
       "5109               0               1       0          0  \n",
       "\n",
       "[5110 rows x 9 columns]"
      ]
     },
     "execution_count": 372,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newdf_X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 373,
   "id": "169ea8b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "newdf_Y = new_df['stroke']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "id": "011aae2e",
   "metadata": {},
   "outputs": [
    {
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     "execution_count": 374,
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  {
   "cell_type": "code",
   "execution_count": 505,
   "id": "e36aa746",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train,X_test,Y_train,Y_test=train_test_split(newdf_X,newdf_Y,test_size=0.15,random_state=1)"
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  {
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   "execution_count": 506,
   "id": "dc28c124",
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       "       age  hypertension  heart_disease  avg_glucose_level   bmi  \\\n",
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  {
   "cell_type": "code",
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   "id": "a8d90fd8",
   "metadata": {},
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2930</th>\n",
       "      <td>33.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>106.08</td>\n",
       "      <td>32.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2064</th>\n",
       "      <td>73.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>82.13</td>\n",
       "      <td>28.5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>767 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age  hypertension  heart_disease  avg_glucose_level   bmi  \\\n",
       "4673  42.0             0              0             112.98  37.2   \n",
       "3232  78.0             0              0              78.29  30.1   \n",
       "3694  28.0             0              0              73.27  25.4   \n",
       "1070  81.0             0              0             246.34  21.1   \n",
       "4163  52.0             0              0              97.05  28.0   \n",
       "...    ...           ...            ...                ...   ...   \n",
       "1330  37.0             0              0             156.70  36.9   \n",
       "3407  60.0             0              0              73.04  25.3   \n",
       "4213  24.0             0              0             123.89  24.1   \n",
       "2930  33.0             0              0             106.08  32.5   \n",
       "2064  73.0             0              0              82.13  28.5   \n",
       "\n",
       "      Smoking_Status  Marital_Status  Gender  Work_Type  \n",
       "4673               1               1       0          0  \n",
       "3232               1               1       0          2  \n",
       "3694               3               0       1          2  \n",
       "1070               2               1       0          3  \n",
       "4163               0               1       0          2  \n",
       "...              ...             ...     ...        ...  \n",
       "1330               2               1       0          2  \n",
       "3407               2               1       0          0  \n",
       "4213               3               0       0          2  \n",
       "2930               1               0       0          2  \n",
       "2064               2               1       1          2  \n",
       "\n",
       "[767 rows x 9 columns]"
      ]
     },
     "execution_count": 507,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 508,
   "id": "8eaf456e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1356    0\n",
      "4864    0\n",
      "190     1\n",
      "1745    0\n",
      "3638    0\n",
      "       ..\n",
      "2895    0\n",
      "2763    0\n",
      "905     0\n",
      "3980    0\n",
      "235     1\n",
      "Name: stroke, Length: 4343, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 509,
   "id": "44279c72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "205"
      ]
     },
     "execution_count": 509,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_train[Y_train==1].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 510,
   "id": "4ee93367",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4673    0\n",
      "3232    0\n",
      "3694    0\n",
      "1070    0\n",
      "4163    0\n",
      "       ..\n",
      "1330    0\n",
      "3407    0\n",
      "4213    0\n",
      "2930    0\n",
      "2064    0\n",
      "Name: stroke, Length: 767, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(Y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa8cb174",
   "metadata": {},
   "source": [
    "Standard Scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 511,
   "id": "3b53258a",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 512,
   "id": "140721a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "Scaled_X_train = scaler.fit_transform(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 513,
   "id": "897d1934",
   "metadata": {},
   "outputs": [],
   "source": [
    "Scaled_X_test = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 514,
   "id": "b6ca8211",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4343"
      ]
     },
     "execution_count": 514,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(Scaled_X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 515,
   "id": "6e82331c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "767"
      ]
     },
     "execution_count": 515,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(Scaled_X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7b9f32f",
   "metadata": {},
   "source": [
    "Decision Trees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 582,
   "id": "5c5f2bd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "dt=DecisionTreeClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 583,
   "id": "7765bc33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier()"
      ]
     },
     "execution_count": 583,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt.fit(Scaled_X_train,Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 584,
   "id": "6754b6c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_predict=dt.predict(Scaled_X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 585,
   "id": "64fce36f",
   "metadata": {},
   "outputs": [],
   "source": [
    "DTacc=accuracy_score(Y_test,Y_predict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 586,
   "id": "45bab7df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.95      0.96      0.96       723\n",
      "           1       0.26      0.23      0.24        44\n",
      "\n",
      "    accuracy                           0.92       767\n",
      "   macro avg       0.60      0.59      0.60       767\n",
      "weighted avg       0.91      0.92      0.92       767\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(Y_test,Y_predict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 587,
   "id": "5788b882",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[694  29]\n",
      " [ 34  10]]\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(Y_test,Y_predict))"
   ]
  }
 ],
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