Heart_Disease.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "30ec7a92-934c-4d3e-8ff8-662ee507e528",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cbb6d990-6f1a-4108-a021-76227e7664f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>male</th>\n",
       "      <th>age</th>\n",
       "      <th>education</th>\n",
       "      <th>currentSmoker</th>\n",
       "      <th>cigsPerDay</th>\n",
       "      <th>BPMeds</th>\n",
       "      <th>prevalentStroke</th>\n",
       "      <th>prevalentHyp</th>\n",
       "      <th>diabetes</th>\n",
       "      <th>totChol</th>\n",
       "      <th>sysBP</th>\n",
       "      <th>diaBP</th>\n",
       "      <th>BMI</th>\n",
       "      <th>heartRate</th>\n",
       "      <th>glucose</th>\n",
       "      <th>TenYearCHD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>26.97</td>\n",
       "      <td>80.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>28.73</td>\n",
       "      <td>95.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>127.5</td>\n",
       "      <td>80.0</td>\n",
       "      <td>25.34</td>\n",
       "      <td>75.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>28.58</td>\n",
       "      <td>65.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>23.10</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>30.30</td>\n",
       "      <td>77.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>63</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>33.11</td>\n",
       "      <td>60.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>313.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>21.68</td>\n",
       "      <td>79.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>52</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>141.5</td>\n",
       "      <td>89.0</td>\n",
       "      <td>26.36</td>\n",
       "      <td>76.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>43</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>23.61</td>\n",
       "      <td>93.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   male  age  education  currentSmoker  cigsPerDay  BPMeds  prevalentStroke  \\\n",
       "0     1   39        4.0              0         0.0     0.0                0   \n",
       "1     0   46        2.0              0         0.0     0.0                0   \n",
       "2     1   48        1.0              1        20.0     0.0                0   \n",
       "3     0   61        3.0              1        30.0     0.0                0   \n",
       "4     0   46        3.0              1        23.0     0.0                0   \n",
       "5     0   43        2.0              0         0.0     0.0                0   \n",
       "6     0   63        1.0              0         0.0     0.0                0   \n",
       "7     0   45        2.0              1        20.0     0.0                0   \n",
       "8     1   52        1.0              0         0.0     0.0                0   \n",
       "9     1   43        1.0              1        30.0     0.0                0   \n",
       "\n",
       "   prevalentHyp  diabetes  totChol  sysBP  diaBP    BMI  heartRate  glucose  \\\n",
       "0             0         0    195.0  106.0   70.0  26.97       80.0     77.0   \n",
       "1             0         0    250.0  121.0   81.0  28.73       95.0     76.0   \n",
       "2             0         0    245.0  127.5   80.0  25.34       75.0     70.0   \n",
       "3             1         0    225.0  150.0   95.0  28.58       65.0    103.0   \n",
       "4             0         0    285.0  130.0   84.0  23.10       85.0     85.0   \n",
       "5             1         0    228.0  180.0  110.0  30.30       77.0     99.0   \n",
       "6             0         0    205.0  138.0   71.0  33.11       60.0     85.0   \n",
       "7             0         0    313.0  100.0   71.0  21.68       79.0     78.0   \n",
       "8             1         0    260.0  141.5   89.0  26.36       76.0     79.0   \n",
       "9             1         0    225.0  162.0  107.0  23.61       93.0     88.0   \n",
       "\n",
       "   TenYearCHD  \n",
       "0           0  \n",
       "1           0  \n",
       "2           0  \n",
       "3           1  \n",
       "4           0  \n",
       "5           0  \n",
       "6           1  \n",
       "7           0  \n",
       "8           0  \n",
       "9           0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"framingham.csv\")\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "af52aef0-e7a9-457f-a165-de6f411e2a8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4240 entries, 0 to 4239\n",
      "Data columns (total 16 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   male             4240 non-null   int64  \n",
      " 1   age              4240 non-null   int64  \n",
      " 2   education        4135 non-null   float64\n",
      " 3   currentSmoker    4240 non-null   int64  \n",
      " 4   cigsPerDay       4211 non-null   float64\n",
      " 5   BPMeds           4187 non-null   float64\n",
      " 6   prevalentStroke  4240 non-null   int64  \n",
      " 7   prevalentHyp     4240 non-null   int64  \n",
      " 8   diabetes         4240 non-null   int64  \n",
      " 9   totChol          4190 non-null   float64\n",
      " 10  sysBP            4240 non-null   float64\n",
      " 11  diaBP            4240 non-null   float64\n",
      " 12  BMI              4221 non-null   float64\n",
      " 13  heartRate        4239 non-null   float64\n",
      " 14  glucose          3852 non-null   float64\n",
      " 15  TenYearCHD       4240 non-null   int64  \n",
      "dtypes: float64(9), int64(7)\n",
      "memory usage: 530.1 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f1527cfd-dfb1-4741-85d3-480890b15a91",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>male</th>\n",
       "      <th>age</th>\n",
       "      <th>education</th>\n",
       "      <th>currentSmoker</th>\n",
       "      <th>cigsPerDay</th>\n",
       "      <th>BPMeds</th>\n",
       "      <th>prevalentStroke</th>\n",
       "      <th>prevalentHyp</th>\n",
       "      <th>diabetes</th>\n",
       "      <th>totChol</th>\n",
       "      <th>sysBP</th>\n",
       "      <th>diaBP</th>\n",
       "      <th>BMI</th>\n",
       "      <th>heartRate</th>\n",
       "      <th>glucose</th>\n",
       "      <th>TenYearCHD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4135.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4211.000000</td>\n",
       "      <td>4187.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4190.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4221.000000</td>\n",
       "      <td>4239.000000</td>\n",
       "      <td>3852.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.429245</td>\n",
       "      <td>49.580189</td>\n",
       "      <td>1.979444</td>\n",
       "      <td>0.494104</td>\n",
       "      <td>9.005937</td>\n",
       "      <td>0.029615</td>\n",
       "      <td>0.005896</td>\n",
       "      <td>0.310613</td>\n",
       "      <td>0.025708</td>\n",
       "      <td>236.699523</td>\n",
       "      <td>132.354599</td>\n",
       "      <td>82.897759</td>\n",
       "      <td>25.800801</td>\n",
       "      <td>75.878981</td>\n",
       "      <td>81.963655</td>\n",
       "      <td>0.151887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.495027</td>\n",
       "      <td>8.572942</td>\n",
       "      <td>1.019791</td>\n",
       "      <td>0.500024</td>\n",
       "      <td>11.922462</td>\n",
       "      <td>0.169544</td>\n",
       "      <td>0.076569</td>\n",
       "      <td>0.462799</td>\n",
       "      <td>0.158280</td>\n",
       "      <td>44.591284</td>\n",
       "      <td>22.033300</td>\n",
       "      <td>11.910394</td>\n",
       "      <td>4.079840</td>\n",
       "      <td>12.025348</td>\n",
       "      <td>23.954335</td>\n",
       "      <td>0.358953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>107.000000</td>\n",
       "      <td>83.500000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>15.540000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>206.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>23.070000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>234.000000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>25.400000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>263.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>28.040000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>696.000000</td>\n",
       "      <td>295.000000</td>\n",
       "      <td>142.500000</td>\n",
       "      <td>56.800000</td>\n",
       "      <td>143.000000</td>\n",
       "      <td>394.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              male          age    education  currentSmoker   cigsPerDay  \\\n",
       "count  4240.000000  4240.000000  4135.000000    4240.000000  4211.000000   \n",
       "mean      0.429245    49.580189     1.979444       0.494104     9.005937   \n",
       "std       0.495027     8.572942     1.019791       0.500024    11.922462   \n",
       "min       0.000000    32.000000     1.000000       0.000000     0.000000   \n",
       "25%       0.000000    42.000000     1.000000       0.000000     0.000000   \n",
       "50%       0.000000    49.000000     2.000000       0.000000     0.000000   \n",
       "75%       1.000000    56.000000     3.000000       1.000000    20.000000   \n",
       "max       1.000000    70.000000     4.000000       1.000000    70.000000   \n",
       "\n",
       "            BPMeds  prevalentStroke  prevalentHyp     diabetes      totChol  \\\n",
       "count  4187.000000      4240.000000   4240.000000  4240.000000  4190.000000   \n",
       "mean      0.029615         0.005896      0.310613     0.025708   236.699523   \n",
       "std       0.169544         0.076569      0.462799     0.158280    44.591284   \n",
       "min       0.000000         0.000000      0.000000     0.000000   107.000000   \n",
       "25%       0.000000         0.000000      0.000000     0.000000   206.000000   \n",
       "50%       0.000000         0.000000      0.000000     0.000000   234.000000   \n",
       "75%       0.000000         0.000000      1.000000     0.000000   263.000000   \n",
       "max       1.000000         1.000000      1.000000     1.000000   696.000000   \n",
       "\n",
       "             sysBP        diaBP          BMI    heartRate      glucose  \\\n",
       "count  4240.000000  4240.000000  4221.000000  4239.000000  3852.000000   \n",
       "mean    132.354599    82.897759    25.800801    75.878981    81.963655   \n",
       "std      22.033300    11.910394     4.079840    12.025348    23.954335   \n",
       "min      83.500000    48.000000    15.540000    44.000000    40.000000   \n",
       "25%     117.000000    75.000000    23.070000    68.000000    71.000000   \n",
       "50%     128.000000    82.000000    25.400000    75.000000    78.000000   \n",
       "75%     144.000000    90.000000    28.040000    83.000000    87.000000   \n",
       "max     295.000000   142.500000    56.800000   143.000000   394.000000   \n",
       "\n",
       "        TenYearCHD  \n",
       "count  4240.000000  \n",
       "mean      0.151887  \n",
       "std       0.358953  \n",
       "min       0.000000  \n",
       "25%       0.000000  \n",
       "50%       0.000000  \n",
       "75%       0.000000  \n",
       "max       1.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1fc7898e-6a72-4fe2-a194-9d77a43bcc10",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Drop education column because there is no use of it in prediction\n",
    "df = df.drop(columns=['education'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7cebba59-c71e-41fb-9a74-a431e2e61142",
   "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>male</th>\n",
       "      <th>age</th>\n",
       "      <th>currentSmoker</th>\n",
       "      <th>cigsPerDay</th>\n",
       "      <th>BPMeds</th>\n",
       "      <th>prevalentStroke</th>\n",
       "      <th>prevalentHyp</th>\n",
       "      <th>diabetes</th>\n",
       "      <th>totChol</th>\n",
       "      <th>sysBP</th>\n",
       "      <th>diaBP</th>\n",
       "      <th>BMI</th>\n",
       "      <th>heartRate</th>\n",
       "      <th>glucose</th>\n",
       "      <th>TenYearCHD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>26.97</td>\n",
       "      <td>80.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>28.73</td>\n",
       "      <td>95.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>127.5</td>\n",
       "      <td>80.0</td>\n",
       "      <td>25.34</td>\n",
       "      <td>75.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>28.58</td>\n",
       "      <td>65.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>23.10</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   male  age  currentSmoker  cigsPerDay  BPMeds  prevalentStroke  \\\n",
       "0     1   39              0         0.0     0.0                0   \n",
       "1     0   46              0         0.0     0.0                0   \n",
       "2     1   48              1        20.0     0.0                0   \n",
       "3     0   61              1        30.0     0.0                0   \n",
       "4     0   46              1        23.0     0.0                0   \n",
       "\n",
       "   prevalentHyp  diabetes  totChol  sysBP  diaBP    BMI  heartRate  glucose  \\\n",
       "0             0         0    195.0  106.0   70.0  26.97       80.0     77.0   \n",
       "1             0         0    250.0  121.0   81.0  28.73       95.0     76.0   \n",
       "2             0         0    245.0  127.5   80.0  25.34       75.0     70.0   \n",
       "3             1         0    225.0  150.0   95.0  28.58       65.0    103.0   \n",
       "4             0         0    285.0  130.0   84.0  23.10       85.0     85.0   \n",
       "\n",
       "   TenYearCHD  \n",
       "0           0  \n",
       "1           0  \n",
       "2           0  \n",
       "3           1  \n",
       "4           0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7c572e29-7a9d-4bd1-be26-5c87723cb94e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "male                 0\n",
       "age                  0\n",
       "currentSmoker        0\n",
       "cigsPerDay          29\n",
       "BPMeds              53\n",
       "prevalentStroke      0\n",
       "prevalentHyp         0\n",
       "diabetes             0\n",
       "totChol             50\n",
       "sysBP                0\n",
       "diaBP                0\n",
       "BMI                 19\n",
       "heartRate            1\n",
       "glucose            388\n",
       "TenYearCHD           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#now we will check for missing values\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "026efda9-b12a-427f-8e5e-f2a564e3df08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4240, 15)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "dacc218c-cf62-4770-93ef-35689200e282",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TenYearCHD\n",
       "0    3596\n",
       "1     644\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#value distribution in label.\n",
    "df['TenYearCHD'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "752574ed-33ea-4c21-b678-0bdb87b454db",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "columns_missing_values = [\"cigsPerDay\",\"BPMeds\",\"totChol\",\"BMI\",\"heartRate\",\"glucose\"]\n",
    "for col in columns_missing_values:\n",
    "    plt.figure(figsize=(20,8))\n",
    "    plt.subplot(1,2,1)\n",
    "    sns.histplot(df[col],kde=True)\n",
    "    plt.title(f\"{col} distribution\")\n",
    "\n",
    "    plt.subplot(1,2,2)\n",
    "    sns.boxplot(x=df[col])\n",
    "    plt.title(f\"{col} boxplot\")\n",
    "\n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7bae67d3-fdf0-47c3-9000-4e3fce8ebc86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cigsPerDay    1.247052\n",
      "BPMeds        5.551462\n",
      "totChol       0.871881\n",
      "BMI           0.982183\n",
      "heartRate     0.644372\n",
      "glucose       6.214948\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "skewness = df[columns_missing_values].skew()\n",
    "print(skewness)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "719097b4-5729-4928-b057-a391dd460d42",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Handling missing values\n",
    "from sklearn.impute import SimpleImputer\n",
    "imputer = SimpleImputer(strategy=\"median\")\n",
    "for col in columns_missing_values:\n",
    "    df[col] = imputer.fit_transform(df[[col]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a291451e-dc0a-4c9a-b493-ec09dc12ce78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "male               0\n",
       "age                0\n",
       "currentSmoker      0\n",
       "cigsPerDay         0\n",
       "BPMeds             0\n",
       "prevalentStroke    0\n",
       "prevalentHyp       0\n",
       "diabetes           0\n",
       "totChol            0\n",
       "sysBP              0\n",
       "diaBP              0\n",
       "BMI                0\n",
       "heartRate          0\n",
       "glucose            0\n",
       "TenYearCHD         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Now There is no missing values.\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b5ced82b-56a5-4d4a-a151-f2278ebb35fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation_matrix = df.corr()\n",
    "#visualize.\n",
    "plt.figure(figsize=(20,8))\n",
    "sns.heatmap(correlation_matrix,annot=True, cmap='coolwarm', fmt='.2f', vmin=-1, vmax=1)\n",
    "plt.title(\"Correlation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c52d18ec-1377-4fc5-8140-04dd91b4d042",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = np.asarray(df[[\"age\",\"totChol\",\"glucose\",\"sysBP\",\"prevalentHyp\"]])\n",
    "y = np.asarray(df[\"TenYearCHD\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "215b2c18-55d9-42f0-8b83-7268bc2264d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Feature Scaling and Feature splitting\n",
    "from sklearn import preprocessing\n",
    "from sklearn.model_selection import train_test_split\n",
    "X = preprocessing.StandardScaler().fit(X).transform(X)\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.3,random_state=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "14a77c9f-4ce8-4090-9c11-c2510a562ce1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train : (2968, 5)\n",
      "y_train : (2968,)\n",
      "X_test : (1272, 5)\n",
      "y_test : (1272,)\n"
     ]
    }
   ],
   "source": [
    "#Shapes\n",
    "print(\"X_train :\",X_train.shape)\n",
    "print(\"y_train :\",y_train.shape)\n",
    "print(\"X_test :\",X_test.shape)\n",
    "print(\"y_test :\",y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "75c74d65-904f-4a77-868b-947463a173e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "logistic = LogisticRegression()\n",
    "logistic.fit(X_train,y_train)\n",
    "y_pred = logistic.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "543abb0d-c832-41ea-b3e4-a8624a7a4de6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score is :  0.8482704402515723\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "score = accuracy_score(y_test,y_pred)\n",
    "print(\"Accuracy score is : \",score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "966201d9-0e89-4ec8-b3d2-f6f9ef9d0a42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Confusion Matrix\n",
    "from sklearn.metrics import confusion_matrix,classification_report\n",
    "cm = confusion_matrix(y_test,y_pred)\n",
    "plt.figure(figsize=(10,4))\n",
    "sns.heatmap(cm,annot=True,fmt=\"d\",cmap='Blues')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "329fe023-41fc-42d3-8b2c-b855f810cf75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The details of the report are: \n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.85      1.00      0.92      1075\n",
      "           1       0.75      0.03      0.06       197\n",
      "\n",
      "    accuracy                           0.85      1272\n",
      "   macro avg       0.80      0.51      0.49      1272\n",
      "weighted avg       0.83      0.85      0.78      1272\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Details\n",
    "print(\"The details of the report are: \")\n",
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e1fb17e7-5e8d-4338-8202-8b05d471db6f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}