Hear_attack_predictor.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "data = pd.read_csv(\"heart.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trtbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalachh</th>\n",
       "      <th>exng</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slp</th>\n",
       "      <th>caa</th>\n",
       "      <th>thall</th>\n",
       "      <th>output</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>145</td>\n",
       "      <td>233</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>130</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>204</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>120</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>178</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>354</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trtbps  chol  fbs  restecg  thalachh  exng  oldpeak  slp  \\\n",
       "0   63    1   3     145   233    1        0       150     0      2.3    0   \n",
       "1   37    1   2     130   250    0        1       187     0      3.5    0   \n",
       "2   41    0   1     130   204    0        0       172     0      1.4    2   \n",
       "3   56    1   1     120   236    0        1       178     0      0.8    2   \n",
       "4   57    0   0     120   354    0        1       163     1      0.6    2   \n",
       "\n",
       "   caa  thall  output  \n",
       "0    0      1       1  \n",
       "1    0      2       1  \n",
       "2    0      2       1  \n",
       "3    0      2       1  \n",
       "4    0      2       1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age         0\n",
       "sex         0\n",
       "cp          0\n",
       "trtbps      0\n",
       "chol        0\n",
       "fbs         0\n",
       "restecg     0\n",
       "thalachh    0\n",
       "exng        0\n",
       "oldpeak     0\n",
       "slp         0\n",
       "caa         0\n",
       "thall       0\n",
       "output      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(303, 14)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    165\n",
       "0    138\n",
       "Name: output, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.output.value_counts()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "we can see we have a distributed data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 303 entries, 0 to 302\n",
      "Data columns (total 14 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       303 non-null    int64  \n",
      " 1   sex       303 non-null    int64  \n",
      " 2   cp        303 non-null    int64  \n",
      " 3   trtbps    303 non-null    int64  \n",
      " 4   chol      303 non-null    int64  \n",
      " 5   fbs       303 non-null    int64  \n",
      " 6   restecg   303 non-null    int64  \n",
      " 7   thalachh  303 non-null    int64  \n",
      " 8   exng      303 non-null    int64  \n",
      " 9   oldpeak   303 non-null    float64\n",
      " 10  slp       303 non-null    int64  \n",
      " 11  caa       303 non-null    int64  \n",
      " 12  thall     303 non-null    int64  \n",
      " 13  output    303 non-null    int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 33.3 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trtbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalachh</th>\n",
       "      <th>exng</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slp</th>\n",
       "      <th>caa</th>\n",
       "      <th>thall</th>\n",
       "      <th>output</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "      <td>303.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>54.366337</td>\n",
       "      <td>0.683168</td>\n",
       "      <td>0.966997</td>\n",
       "      <td>131.623762</td>\n",
       "      <td>246.264026</td>\n",
       "      <td>0.148515</td>\n",
       "      <td>0.528053</td>\n",
       "      <td>149.646865</td>\n",
       "      <td>0.326733</td>\n",
       "      <td>1.039604</td>\n",
       "      <td>1.399340</td>\n",
       "      <td>0.729373</td>\n",
       "      <td>2.313531</td>\n",
       "      <td>0.544554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.082101</td>\n",
       "      <td>0.466011</td>\n",
       "      <td>1.032052</td>\n",
       "      <td>17.538143</td>\n",
       "      <td>51.830751</td>\n",
       "      <td>0.356198</td>\n",
       "      <td>0.525860</td>\n",
       "      <td>22.905161</td>\n",
       "      <td>0.469794</td>\n",
       "      <td>1.161075</td>\n",
       "      <td>0.616226</td>\n",
       "      <td>1.022606</td>\n",
       "      <td>0.612277</td>\n",
       "      <td>0.498835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>71.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>47.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>211.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>133.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>153.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>61.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>274.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>77.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>564.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              age         sex          cp      trtbps        chol         fbs  \\\n",
       "count  303.000000  303.000000  303.000000  303.000000  303.000000  303.000000   \n",
       "mean    54.366337    0.683168    0.966997  131.623762  246.264026    0.148515   \n",
       "std      9.082101    0.466011    1.032052   17.538143   51.830751    0.356198   \n",
       "min     29.000000    0.000000    0.000000   94.000000  126.000000    0.000000   \n",
       "25%     47.500000    0.000000    0.000000  120.000000  211.000000    0.000000   \n",
       "50%     55.000000    1.000000    1.000000  130.000000  240.000000    0.000000   \n",
       "75%     61.000000    1.000000    2.000000  140.000000  274.500000    0.000000   \n",
       "max     77.000000    1.000000    3.000000  200.000000  564.000000    1.000000   \n",
       "\n",
       "          restecg    thalachh        exng     oldpeak         slp         caa  \\\n",
       "count  303.000000  303.000000  303.000000  303.000000  303.000000  303.000000   \n",
       "mean     0.528053  149.646865    0.326733    1.039604    1.399340    0.729373   \n",
       "std      0.525860   22.905161    0.469794    1.161075    0.616226    1.022606   \n",
       "min      0.000000   71.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000  133.500000    0.000000    0.000000    1.000000    0.000000   \n",
       "50%      1.000000  153.000000    0.000000    0.800000    1.000000    0.000000   \n",
       "75%      1.000000  166.000000    1.000000    1.600000    2.000000    1.000000   \n",
       "max      2.000000  202.000000    1.000000    6.200000    2.000000    4.000000   \n",
       "\n",
       "            thall      output  \n",
       "count  303.000000  303.000000  \n",
       "mean     2.313531    0.544554  \n",
       "std      0.612277    0.498835  \n",
       "min      0.000000    0.000000  \n",
       "25%      2.000000    0.000000  \n",
       "50%      2.000000    1.000000  \n",
       "75%      3.000000    1.000000  \n",
       "max      3.000000    1.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# data splitting and data transformation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split as tts\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = data.drop(\"output\" ,axis =1)\n",
    "y = data.output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trtbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalachh</th>\n",
       "      <th>exng</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slp</th>\n",
       "      <th>caa</th>\n",
       "      <th>thall</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>63</td>\n",
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       "      <td>2.3</td>\n",
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       "      <td>187</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>204</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>120</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>178</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>354</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>140</td>\n",
       "      <td>241</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>123</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>110</td>\n",
       "      <td>264</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>132</td>\n",
       "      <td>0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>144</td>\n",
       "      <td>193</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>141</td>\n",
       "      <td>0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>57</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>130</td>\n",
       "      <td>131</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>115</td>\n",
       "      <td>1</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>174</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>303 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     age  sex  cp  trtbps  chol  fbs  restecg  thalachh  exng  oldpeak  slp  \\\n",
       "0     63    1   3     145   233    1        0       150     0      2.3    0   \n",
       "1     37    1   2     130   250    0        1       187     0      3.5    0   \n",
       "2     41    0   1     130   204    0        0       172     0      1.4    2   \n",
       "3     56    1   1     120   236    0        1       178     0      0.8    2   \n",
       "4     57    0   0     120   354    0        1       163     1      0.6    2   \n",
       "..   ...  ...  ..     ...   ...  ...      ...       ...   ...      ...  ...   \n",
       "298   57    0   0     140   241    0        1       123     1      0.2    1   \n",
       "299   45    1   3     110   264    0        1       132     0      1.2    1   \n",
       "300   68    1   0     144   193    1        1       141     0      3.4    1   \n",
       "301   57    1   0     130   131    0        1       115     1      1.2    1   \n",
       "302   57    0   1     130   236    0        0       174     0      0.0    1   \n",
       "\n",
       "     caa  thall  \n",
       "0      0      1  \n",
       "1      0      2  \n",
       "2      0      2  \n",
       "3      0      2  \n",
       "4      0      2  \n",
       "..   ...    ...  \n",
       "298    0      3  \n",
       "299    0      3  \n",
       "300    2      3  \n",
       "301    1      3  \n",
       "302    1      2  \n",
       "\n",
       "[303 rows x 13 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 0], dtype=int64)"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['thall'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      1\n",
       "1      1\n",
       "2      1\n",
       "3      1\n",
       "4      1\n",
       "      ..\n",
       "298    0\n",
       "299    0\n",
       "300    0\n",
       "301    0\n",
       "302    0\n",
       "Name: output, Length: 303, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.9521966   0.68100522  1.97312292 ... -2.27457861 -0.71442887\n",
      "  -2.14887271]\n",
      " [-1.91531289  0.68100522  1.00257707 ... -2.27457861 -0.71442887\n",
      "  -0.51292188]\n",
      " [-1.47415758 -1.46841752  0.03203122 ...  0.97635214 -0.71442887\n",
      "  -0.51292188]\n",
      " ...\n",
      " [ 1.50364073  0.68100522 -0.93851463 ... -0.64911323  1.24459328\n",
      "   1.12302895]\n",
      " [ 0.29046364  0.68100522 -0.93851463 ... -0.64911323  0.26508221\n",
      "   1.12302895]\n",
      " [ 0.29046364 -1.46841752  0.03203122 ... -0.64911323  0.26508221\n",
      "  -0.51292188]]\n",
      "(303, 13)\n"
     ]
    }
   ],
   "source": [
    "sc = StandardScaler()\n",
    "sc.fit(x)\n",
    "x = sc.transform(x)\n",
    "print(x)\n",
    "print(x.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "xtrain,xtest,ytrain,ytest = tts(x,y,test_size = 0.3,random_state = 87)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xtest shape - (91, 13)    xtrain shape = (212, 13)\n",
      "ytest shape - (91,)    ytrain shape = (212,)\n"
     ]
    }
   ],
   "source": [
    "print('xtest shape - {}    xtrain shape = {}'.format(xtest.shape,xtrain.shape))\n",
    "print('ytest shape - {}    ytrain shape = {}'.format(ytest.shape,ytrain.shape))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# feature importance and visualisations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score - 0.8021978021978022 \n",
      "Confusion matrix -\n",
      " [[28  9]\n",
      " [ 9 45]] \n",
      "Cllasification report - \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.76      0.76      0.76        37\n",
      "           1       0.83      0.83      0.83        54\n",
      "\n",
      "    accuracy                           0.80        91\n",
      "   macro avg       0.80      0.80      0.80        91\n",
      "weighted avg       0.80      0.80      0.80        91\n",
      " \n",
      "Score(test) - 0.8021978021978022 \n",
      "Score(train) - 1.0 \n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import classification_report,accuracy_score,confusion_matrix\n",
    "rr = RandomForestClassifier()\n",
    "rr.fit(xtrain,ytrain)\n",
    "ypr = rr.predict(xtest)\n",
    "print(\"Accuracy score - {} \".format(accuracy_score(ytest,ypr)))\n",
    "print(\"Confusion matrix -\\n {} \".format(confusion_matrix(ytest,ypr)))\n",
    "print(\"Cllasification report - \\n {} \".format(classification_report(ytest,ypr)))\n",
    "print(\"Score(test) - {} \".format(rr.score(xtest,ytest)))\n",
    "print(\"Score(train) - {} \".format(rr.score(xtrain,ytrain)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature = rr.feature_importances_\n",
    "plt.figure(figsize = (16,10))\n",
    "sns.barplot(x = data.columns.drop(\"output\"), y = feature)\n",
    "plt.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x27d6bae62b0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2520x2520 with 210 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (16,10))\n",
    "sns.pairplot(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns \n",
    "plt.figure(figsize = (20,15))\n",
    "sns.heatmap(data.corr(),annot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['age', 'age'], ['sex', 'sex'], ['cp', 'cp'], ['cp', 'output'], ['trtbps', 'trtbps'], ['chol', 'chol'], ['fbs', 'fbs'], ['restecg', 'restecg'], ['thalachh', 'thalachh'], ['thalachh', 'output'], ['exng', 'exng'], ['oldpeak', 'oldpeak'], ['slp', 'slp'], ['caa', 'caa'], ['thall', 'thall'], ['output', 'cp'], ['output', 'thalachh'], ['output', 'output']]\n",
      "18\n"
     ]
    }
   ],
   "source": [
    "dat = 0 \n",
    "epp = []\n",
    "col = data.columns\n",
    "for i in col:\n",
    "    for j in col:\n",
    "        dat = data[i].corr(data[j])\n",
    "        if dat > 0.4:\n",
    "            epp.append([i,j])\n",
    "print(epp)\n",
    "print(len(epp))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['cp', 'output'], ['thalachh', 'output']]\n",
      "2\n"
     ]
    }
   ],
   "source": [
    "res = []\n",
    "for i in epp:\n",
    "    o = [i[1], i[0]]\n",
    "    if i[0] != i[1] and i  not in res and o not in res :\n",
    "        res.append(i)\n",
    "print(res)\n",
    "print(len(res))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='output', ylabel='cp'>"
      ]
     },
     "execution_count": 21,
     "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.scatterplot(x = data.output, y= data.cp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Training "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Support vector Classifier"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "hyperparameter optimisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 15 folds for each of 15 candidates, totalling 225 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  48 tasks      | elapsed:    4.6s\n",
      "[Parallel(n_jobs=-1)]: Done 225 out of 225 | elapsed:    5.5s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomizedSearchCV(cv=15, estimator=SVC(probability=True), n_iter=15, n_jobs=-1,\n",
       "                   param_distributions={'degree': [3, 4, 5, 6],\n",
       "                                        'gamma': ['scale', 'auto'],\n",
       "                                        'kernel': ['linear', 'poly', 'rbf',\n",
       "                                                   'sigmoid']},\n",
       "                   verbose=1)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# importing d=svc and performing randomized search cv on it\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "svc = SVC(probability=True)\n",
    "param = {\n",
    "    'kernel' : ['linear', 'poly', 'rbf', 'sigmoid'],\n",
    "   'gamma' : ['scale', 'auto'],\n",
    "    'degree' : [3,4,5,6]\n",
    "}\n",
    "random_svc = RandomizedSearchCV(estimator = svc,param_distributions = param, cv = 15, n_iter = 15,verbose = 1,n_jobs = -1)\n",
    "random_svc.fit(xtrain,ytrain)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score - 0.8131868131868132 \n",
      "Confusion matrix -\n",
      " [[28  9]\n",
      " [ 8 46]] \n",
      "Cllasification report - \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.78      0.76      0.77        37\n",
      "           1       0.84      0.85      0.84        54\n",
      "\n",
      "    accuracy                           0.81        91\n",
      "   macro avg       0.81      0.80      0.81        91\n",
      "weighted avg       0.81      0.81      0.81        91\n",
      " \n",
      "Score(test) - 0.8131868131868132 \n",
      "Score(train) - 0.9292452830188679 \n"
     ]
    }
   ],
   "source": [
    "#getting the best estimator and findinf out the values of fpr tpr f1score comfusion matrix \n",
    "svc_model = random_svc.best_estimator_\n",
    "svc_model.fit(xtrain,ytrain)\n",
    "ypred_svc = svc_model.predict(xtest)\n",
    "print(\"Accuracy score - {} \".format(accuracy_score(ytest,ypred_svc)))\n",
    "print(\"Confusion matrix -\\n {} \".format(confusion_matrix(ytest,ypred_svc)))\n",
    "print(\"Cllasification report - \\n {} \".format(classification_report(ytest,ypred_svc)))\n",
    "print(\"Score(test) - {} \".format(svc_model.score(xtest,ytest)))\n",
    "print(\"Score(train) - {} \".format(svc_model.score(xtrain,ytrain)))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "doing a predic proba to get probabilities and check which value of threshld is best for prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# since your know its a heart attack prediction model soo we need our fasle positive(values predicted b model as false\n",
    "#ut in real data are true) to be minimum as we can afford to let a perso with no heart attack go with precautions but cant let \n",
    "#a person with heart attack symptoms as no symptom of heart attack so here i am plaing with thresholds value to get lest false negatives.\n",
    "ypred_svcproba = svc_model.predict_proba(xtest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.73399199, 0.47603409, 0.13575063, 0.31953836, 0.09377247,\n",
       "       0.81369767, 0.04129229, 0.92478887, 0.22256744, 0.07176614,\n",
       "       0.89524605, 0.41704835, 0.91113138, 0.04674507, 0.24890077,\n",
       "       0.02269582, 0.9036568 , 0.94956592, 0.98922253, 0.29921225,\n",
       "       0.92197601, 0.64850944, 0.5072484 , 0.03267301, 0.11550294,\n",
       "       0.02463105, 0.08224693, 0.04554951, 0.15674064, 0.61884487,\n",
       "       0.89035208, 0.04009285, 0.08537324, 0.76756629, 0.95337683,\n",
       "       0.82724417, 0.47981197, 0.97905136, 0.38681179, 0.16566277,\n",
       "       0.69583117, 0.77792764, 0.70757285, 0.14515987, 0.90236875,\n",
       "       0.51954768, 0.08427879, 0.14331701, 0.17933611, 0.20974147,\n",
       "       0.91955784, 0.19670217, 0.66811518, 0.0393334 , 0.56686243,\n",
       "       0.43797112, 0.84446059, 0.97487466, 0.06359018, 0.28345207,\n",
       "       0.0677721 , 0.17316923, 0.37306121, 0.14177792, 0.03942731,\n",
       "       0.11592521, 0.35302685, 0.06341695, 0.08488888, 0.05054454,\n",
       "       0.0914471 , 0.56472929, 0.88114489, 0.0451043 , 0.40790584,\n",
       "       0.54842636, 0.84691395, 0.02947283, 0.87549386, 0.94119742,\n",
       "       0.57040222, 0.97787065, 0.9877747 , 0.28919689, 0.05318538,\n",
       "       0.05241707, 0.02579857, 0.91332397, 0.41359344, 0.84717572,\n",
       "       0.5656384 ])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ypred_svcproba[0:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [],
   "source": [
    "## you can see value if i > .7 which means if my model predict a probability of 0. or further then it will say thet you have \n",
    "# low symptoms of heart attack even if it is 0.69 sue to prwecautionart measures we will say you can have heart attack take preventions\n",
    "yyyp = []\n",
    "for i in  ypred_svcproba[0:,0]:\n",
    "    if i >0.7:\n",
    "        yyyp.append(0)\n",
    "    else:\n",
    "        yyyp.append(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score - 0.7692307692307693 \n",
      "Confusion matrix -\n",
      " [[22 15]\n",
      " [ 6 48]] \n",
      "Cllasification report - \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.79      0.59      0.68        37\n",
      "           1       0.76      0.89      0.82        54\n",
      "\n",
      "    accuracy                           0.77        91\n",
      "   macro avg       0.77      0.74      0.75        91\n",
      "weighted avg       0.77      0.77      0.76        91\n",
      " \n"
     ]
    }
   ],
   "source": [
    "#classification report for best matrix in svm \n",
    "print(\"Accuracy score - {} \".format(accuracy_score(ytest,yyyp)))\n",
    "print(\"Confusion matrix -\\n {} \".format(confusion_matrix(ytest,yyyp)))\n",
    "print(\"Cllasification report - \\n {} \".format(classification_report(ytest,yyyp)))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "by doing every means svc is giving best accuracy as 82.4 precent we will continue furthur with other algo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ada boost classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 7 folds for each of 100 candidates, totalling 700 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  42 tasks      | elapsed:   31.9s\n",
      "[Parallel(n_jobs=-1)]: Done 192 tasks      | elapsed:  1.8min\n",
      "[Parallel(n_jobs=-1)]: Done 442 tasks      | elapsed:  3.7min\n",
      "[Parallel(n_jobs=-1)]: Done 700 out of 700 | elapsed:  5.6min finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomizedSearchCV(cv=7, estimator=AdaBoostClassifier(), n_iter=100, n_jobs=-1,\n",
       "                   param_distributions={'algorithm': ['SAMME', 'SAMME.R'],\n",
       "                                        'learning_rate': [0.1, 0.2, 0.3, 0.4,\n",
       "                                                          0.5, 0.6, 0.7, 0.8,\n",
       "                                                          0.9, 1.0, 1.1, 1.2],\n",
       "                                        'n_estimators': [50, 100, 150, 200, 250,\n",
       "                                                         300, 350, 400, 450,\n",
       "                                                         500, 550, 600]},\n",
       "                   verbose=1)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#importing ada boost classifier and implementing random search on it \n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "ada =  AdaBoostClassifier()\n",
    "para = {\n",
    "     'n_estimators' :[50,100,150,200,250,300,350,400,450,500,550,600],\n",
    "    'learning_rate' : [0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1,1.2],\n",
    "    'algorithm' : ['SAMME', 'SAMME.R']\n",
    "}\n",
    "random_ada = RandomizedSearchCV(estimator = ada,param_distributions = para, cv = 7, n_iter = 100,verbose = 1,n_jobs = -1)\n",
    "random_ada.fit(xtrain,ytrain)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AdaBoostClassifier(algorithm='SAMME', learning_rate=0.2, n_estimators=600)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#gettin the best score value and the best estimator\n",
    "random_ada.best_score_\n",
    "random_ada.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score - 0.8241758241758241 \n",
      "Confusion matrix -\n",
      " [[31  6]\n",
      " [10 44]] \n",
      "Cllasification report - \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.76      0.84      0.79        37\n",
      "           1       0.88      0.81      0.85        54\n",
      "\n",
      "    accuracy                           0.82        91\n",
      "   macro avg       0.82      0.83      0.82        91\n",
      "weighted avg       0.83      0.82      0.83        91\n",
      " \n",
      "Score(test) - 0.8241758241758241 \n",
      "Score(train) - 0.9245283018867925 \n"
     ]
    }
   ],
   "source": [
    "#trainin a new model om the best estimator of the randomized search cv\n",
    "ada_random = random_ada.best_estimator_\n",
    "ada_pred = ada_random.predict(xtest)\n",
    "ada_predp = ada_random.predict_proba(xtest)\n",
    "print(\"Accuracy score - {} \".format(accuracy_score(ytest,ada_pred)))\n",
    "print(\"Confusion matrix -\\n {} \".format(confusion_matrix(ytest,ada_pred)))\n",
    "print(\"Cllasification report - \\n {} \".format(classification_report(ytest,ada_pred)))\n",
    "print(\"Score(test) - {} \".format(ada_random.score(xtest,ytest)))\n",
    "print(\"Score(train) - {} \".format(ada_random.score(xtrain,ytrain)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='output', ylabel='Density'>"
      ]
     },
     "execution_count": 191,
     "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": [
    "#you all might be confused what this is but this is nothing but tp,fp,fn,tn\n",
    "#here 0 plot represents the tn and tp\n",
    "#the -1 represents false positives which s fine due to the domain of our project\n",
    "# +1 is the false negatives which is a bad signal we need to reduce it \n",
    "import seaborn as sns\n",
    "sns.distplot(ytest-ada_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to reduce the fn rate we will play with the probabilites we can do it with roc-auc curve bt i am doing it this way\n",
    "# so here ada_predp[0:,0 means all the perbabilites of 0 ie no heart attack symptoms]\n",
    "# the value is set to 0.7 which means if my pred probability for 0 goes further 70 percent or 0.7 then my model will say no symptoms\n",
    "#else it will say symptoms of heart attack occurance so eat healthy and take pecautions.\n",
    "yyyp1 = []\n",
    "for i in  ada_predp[0:,0]:\n",
    "    if i >0.6:\n",
    "        yyyp1.append(0)\n",
    "    else:\n",
    "        yyyp1.append(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cofusion matrix = \n",
      "[[ 7 30]\n",
      " [ 1 53]]\n",
      "classificatin report = \n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.19      0.88      0.31         8\n",
      "           1       0.98      0.64      0.77        83\n",
      "\n",
      "    accuracy                           0.66        91\n",
      "   macro avg       0.59      0.76      0.54        91\n",
      "weighted avg       0.91      0.66      0.73        91\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Cofusion matrix = \\n{}\".format(confusion_matrix(ytest,yyyp1)))\n",
    "print(\"classificatin report = \\n{}\".format(classification_report(yyyp1,ytest)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='output', ylabel='Density'>"
      ]
     },
     "execution_count": 190,
     "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": [
    "# ploting the same gharh i did before you can see that the plot for 1 is so low which is a good sign\n",
    "# can let a non symtomatic patient to take prevention rather than telling  an ill man ou are completely fit \n",
    "import seaborn as sns\n",
    "sns.distplot(ytest-yyyp1)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    " manual sampling(decision trees)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score - 0.8351648351648352 \n",
      "Confusion matrix -\n",
      " [[32  5]\n",
      " [10 44]] \n",
      "Cllasification report - \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.76      0.86      0.81        37\n",
      "           1       0.90      0.81      0.85        54\n",
      "\n",
      "    accuracy                           0.84        91\n",
      "   macro avg       0.83      0.84      0.83        91\n",
      "weighted avg       0.84      0.84      0.84        91\n",
      " \n",
      "Score(test) - 0.8351648351648352 \n",
      "Score(train) - 0.9905660377358491 \n"
     ]
    }
   ],
   "source": [
    "#just did ths random sampling for un so dont worry about this part\n",
    "ada1 = AdaBoostClassifier(learning_rate=0.2, n_estimators=700)\n",
    "ada1.fit(xtrain,ytrain)\n",
    "ada_pred1 = ada1.predict(xtest)\n",
    "ada_predp1 = ada1.predict_proba(xtest)\n",
    "print(\"Accuracy score - {} \".format(accuracy_score(ytest,ada_pred1)))\n",
    "print(\"Confusion matrix -\\n {} \".format(confusion_matrix(ytest,ada_pred1)))\n",
    "print(\"Cllasification report - \\n {} \".format(classification_report(ytest,ada_pred1)))\n",
    "print(\"Score(test) - {} \".format(ada1.score(xtest,ytest)))\n",
    "print(\"Score(train) - {} \".format(ada1.score(xtrain,ytrain)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " score = 0.9198113207547169\n",
      " score = 0.8241758241758241\n",
      "confusion MATRIX = \n",
      "[[28  7]\n",
      " [ 9 47]]\n"
     ]
    }
   ],
   "source": [
    "#importing random forest classifier and appplying randomsearch on it\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rf = RandomForestClassifier( n_estimators=200,\n",
    "    criterion='gini',\n",
    "    max_depth=5,\n",
    "    min_samples_split=4,\n",
    "    min_samples_leaf=5)\n",
    "rf.fit(xtrain,ytrain)\n",
    "rfpred = rf.predict(xtest)\n",
    "print(\" score = {}\".format(rf.score(xtrain,ytrain)))\n",
    "print(\" score = {}\".format(rf.score(xtest,ytest)))\n",
    "print(\"confusion MATRIX = \\n{}\".format(confusion_matrix(rfpred,ytest)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 4 folds for each of 100 candidates, totalling 400 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  24 tasks      | elapsed:   12.1s\n",
      "[Parallel(n_jobs=-1)]: Done 120 tasks      | elapsed:  1.6min\n",
      "[Parallel(n_jobs=-1)]: Done 280 tasks      | elapsed:  3.6min\n",
      "[Parallel(n_jobs=-1)]: Done 400 out of 400 | elapsed:  5.8min finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomizedSearchCV(cv=4, estimator=RandomForestClassifier(), n_iter=100,\n",
       "                   n_jobs=-1,\n",
       "                   param_distributions={'criterion': ['gini', 'entropy'],\n",
       "                                        'max_depth': [1, 11, 21, 32, 42, 53, 63,\n",
       "                                                      74, 84, 95, 105, 116, 126,\n",
       "                                                      137, 147, 158, 168, 179,\n",
       "                                                      189, 200],\n",
       "                                        'max_features': ['auto', 'sqrt',\n",
       "                                                         'log2'],\n",
       "                                        'min_samples_split': [0, 1, 3, 5, 7, 9,\n",
       "                                                              11, 13, 15],\n",
       "                                        'n_estimators': [100, 200, 300, 400,\n",
       "                                                         500, 600, 700, 800,\n",
       "                                                         900, 1000, 1100,\n",
       "                                                         1200]},\n",
       "                   verbose=3)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "rf1 = RandomForestClassifier()\n",
    "params = {\"n_estimators\": [100,200,300,400,500,600,700,800,900,1000,1100,1200],\n",
    "          \"criterion\": [\"gini\", \"entropy\"],\n",
    "          \"max_depth\": [int(x) for x in np.linspace(1,200,20)],\n",
    "         \"min_samples_split\": [0,1,3,5,7,9,11,13,15],\n",
    "          \"max_features\" : [\"auto\", \"sqrt\", \"log2\"],\n",
    "         }\n",
    "random = RandomizedSearchCV(estimator = rf1,param_distributions = params,n_iter = 100,cv = 4,verbose = 3,n_jobs = -1)\n",
    "random.fit(xtrain,ytrain)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8490566037735849"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(max_depth=11, max_features='log2', min_samples_split=13,\n",
       "                       n_estimators=800)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " score = 0.9481132075471698\n",
      " score = 0.8241758241758241\n",
      "confusion matrix = \n",
      "[[29  7]\n",
      " [ 8 47]]\n",
      "classificatin report = \n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.78      0.81      0.79        36\n",
      "           1       0.87      0.85      0.86        55\n",
      "\n",
      "    accuracy                           0.84        91\n",
      "   macro avg       0.83      0.83      0.83        91\n",
      "weighted avg       0.84      0.84      0.84        91\n",
      "\n"
     ]
    }
   ],
   "source": [
    "rfc = RandomForestClassifier(max_depth=11, max_features='log2', min_samples_split=13,\n",
    "                       n_estimators=800)\n",
    "rfc.fit(xtrain,ytrain)\n",
    "rfcp = rfc.predict(xtest)\n",
    "print(\" score = {}\".format(rfc.score(xtrain,ytrain)))\n",
    "print(\" score = {}\".format(rfc.score(xtest,ytest)))\n",
    "print(\"confusion matrix = \\n{}\".format(confusion_matrix(rfpred,ytest)))\n",
    "print(\"classificatin report = \\n{}\".format(classification_report(rfpred,ytest)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='output', ylabel='Density'>"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# the explanation on ghaphs above is same for this one as well\n",
    "import seaborn as sns\n",
    "sns.distplot(ytest-rfcp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "rfcpro = rfc.predict_proba(xtest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cofusion matrix = \n",
      "[[19 18]\n",
      " [ 3 51]]\n"
     ]
    }
   ],
   "source": [
    "ypo = []\n",
    "for i in rfcpro[0:,0]:\n",
    "    if i>0.7:\n",
    "        ypo.append(0)\n",
    "    else:\n",
    "        ypo.append(1)\n",
    "print(\"Cofusion matrix = \\n{}\".format(confusion_matrix(ytest,ypo)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy score = 0.7692307692307693\n",
      "classificatin report = \n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.51      0.86      0.64        22\n",
      "           1       0.94      0.74      0.83        69\n",
      "\n",
      "    accuracy                           0.77        91\n",
      "   macro avg       0.73      0.80      0.74        91\n",
      "weighted avg       0.84      0.77      0.78        91\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"accuracy score = {}\".format(accuracy_score(ypo,ytest)))\n",
    "print(\"classificatin report = \\n{}\".format(classification_report(ypo,ytest)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='output', ylabel='Density'>"
      ]
     },
     "execution_count": 163,
     "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": [
    "#here you can see this is the best graph based on random forest, and thresholf value of 0.7 for 0 (no heart symptoms ) prediction \n",
    "# why as the 0 plot is biggest 2nd -1 and +1 is smallest)\n",
    "import seaborn as sns\n",
    "sns.distplot(ytest-ypo)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model saving"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle as pkl\n",
    "pkl.dump(rfc,open(\"pred_model\",'wb'))\n",
    "pkl.dump(sc,open(\"Data_transforming_model\",'wb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "here at last i want to conclude by saying that dont go and udge the model on based on accuracy as 84 or 81 why cause this is a classification problem based on illness domain so we nedd to reduce the chance of letting those patient unmarked those can get a attack in near future so i adjusted m accuract based on confusion matric if you want to see go check the precision and recall values which will tell how good the model it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age          63.0\n",
       "sex           1.0\n",
       "cp            3.0\n",
       "trtbps      145.0\n",
       "chol        233.0\n",
       "fbs           1.0\n",
       "restecg       0.0\n",
       "thalachh    150.0\n",
       "exng          0.0\n",
       "oldpeak       2.3\n",
       "slp           0.0\n",
       "caa           0.0\n",
       "thall         1.0\n",
       "output        1.0\n",
       "Name: 0, dtype: float64"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}