{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "4650cc02-e27c-4b58-a4fd-5fe1a839047e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, confusion_matrix, classification_report\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.feature_selection import SelectKBest, chi2 ,RFE\n",
    "from sklearn.model_selection import train_test_split\n",
    "from PIL import Image\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7e7a5661-5703-4a36-98a9-abd2f2dd0416",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
      "0   52    1   0       125   212    0        1      168      0      1.0      2   \n",
      "1   53    1   0       140   203    1        0      155      1      3.1      0   \n",
      "2   70    1   0       145   174    0        1      125      1      2.6      0   \n",
      "3   61    1   0       148   203    0        1      161      0      0.0      2   \n",
      "4   62    0   0       138   294    1        1      106      0      1.9      1   \n",
      "\n",
      "   ca  thal  target  \n",
      "0   2     3       0  \n",
      "1   0     3       0  \n",
      "2   0     3       0  \n",
      "3   1     3       0  \n",
      "4   3     2       0  \n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1025 entries, 0 to 1024\n",
      "Data columns (total 14 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       1025 non-null   int64  \n",
      " 1   sex       1025 non-null   int64  \n",
      " 2   cp        1025 non-null   int64  \n",
      " 3   trestbps  1025 non-null   int64  \n",
      " 4   chol      1025 non-null   int64  \n",
      " 5   fbs       1025 non-null   int64  \n",
      " 6   restecg   1025 non-null   int64  \n",
      " 7   thalach   1025 non-null   int64  \n",
      " 8   exang     1025 non-null   int64  \n",
      " 9   oldpeak   1025 non-null   float64\n",
      " 10  slope     1025 non-null   int64  \n",
      " 11  ca        1025 non-null   int64  \n",
      " 12  thal      1025 non-null   int64  \n",
      " 13  target    1025 non-null   int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 112.2 KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('heart.csv')\n",
    "print(df.head())\n",
    "print(df.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3859d2df-f969-41a0-91cd-91a41f965f4a",
   "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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.00000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>54.434146</td>\n",
       "      <td>0.695610</td>\n",
       "      <td>0.942439</td>\n",
       "      <td>131.611707</td>\n",
       "      <td>246.00000</td>\n",
       "      <td>0.149268</td>\n",
       "      <td>0.529756</td>\n",
       "      <td>149.114146</td>\n",
       "      <td>0.336585</td>\n",
       "      <td>1.071512</td>\n",
       "      <td>1.385366</td>\n",
       "      <td>0.754146</td>\n",
       "      <td>2.323902</td>\n",
       "      <td>0.513171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.072290</td>\n",
       "      <td>0.460373</td>\n",
       "      <td>1.029641</td>\n",
       "      <td>17.516718</td>\n",
       "      <td>51.59251</td>\n",
       "      <td>0.356527</td>\n",
       "      <td>0.527878</td>\n",
       "      <td>23.005724</td>\n",
       "      <td>0.472772</td>\n",
       "      <td>1.175053</td>\n",
       "      <td>0.617755</td>\n",
       "      <td>1.030798</td>\n",
       "      <td>0.620660</td>\n",
       "      <td>0.500070</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>126.00000</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>48.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>211.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>132.000000</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>56.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>240.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>152.000000</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>275.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.800000</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>564.00000</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     trestbps        chol  \\\n",
       "count  1025.000000  1025.000000  1025.000000  1025.000000  1025.00000   \n",
       "mean     54.434146     0.695610     0.942439   131.611707   246.00000   \n",
       "std       9.072290     0.460373     1.029641    17.516718    51.59251   \n",
       "min      29.000000     0.000000     0.000000    94.000000   126.00000   \n",
       "25%      48.000000     0.000000     0.000000   120.000000   211.00000   \n",
       "50%      56.000000     1.000000     1.000000   130.000000   240.00000   \n",
       "75%      61.000000     1.000000     2.000000   140.000000   275.00000   \n",
       "max      77.000000     1.000000     3.000000   200.000000   564.00000   \n",
       "\n",
       "               fbs      restecg      thalach        exang      oldpeak  \\\n",
       "count  1025.000000  1025.000000  1025.000000  1025.000000  1025.000000   \n",
       "mean      0.149268     0.529756   149.114146     0.336585     1.071512   \n",
       "std       0.356527     0.527878    23.005724     0.472772     1.175053   \n",
       "min       0.000000     0.000000    71.000000     0.000000     0.000000   \n",
       "25%       0.000000     0.000000   132.000000     0.000000     0.000000   \n",
       "50%       0.000000     1.000000   152.000000     0.000000     0.800000   \n",
       "75%       0.000000     1.000000   166.000000     1.000000     1.800000   \n",
       "max       1.000000     2.000000   202.000000     1.000000     6.200000   \n",
       "\n",
       "             slope           ca         thal       target  \n",
       "count  1025.000000  1025.000000  1025.000000  1025.000000  \n",
       "mean      1.385366     0.754146     2.323902     0.513171  \n",
       "std       0.617755     1.030798     0.620660     0.500070  \n",
       "min       0.000000     0.000000     0.000000     0.000000  \n",
       "25%       1.000000     0.000000     2.000000     0.000000  \n",
       "50%       1.000000     0.000000     2.000000     1.000000  \n",
       "75%       2.000000     1.000000     3.000000     1.000000  \n",
       "max       2.000000     4.000000     3.000000     1.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1860df5c-67d0-4cea-bde8-53ef82e7c414",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "age         0\n",
      "sex         0\n",
      "cp          0\n",
      "trestbps    0\n",
      "chol        0\n",
      "fbs         0\n",
      "restecg     0\n",
      "thalach     0\n",
      "exang       0\n",
      "oldpeak     0\n",
      "slope       0\n",
      "ca          0\n",
      "thal        0\n",
      "target      0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e668689d-35f8-49a0-a4ab-d05eab18aaac",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.fillna(df.median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7b8a07be-da38-48bc-919e-c7f905f8055e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "age         0\n",
      "sex         0\n",
      "cp          0\n",
      "trestbps    0\n",
      "chol        0\n",
      "fbs         0\n",
      "restecg     0\n",
      "thalach     0\n",
      "exang       0\n",
      "oldpeak     0\n",
      "slope       0\n",
      "ca          0\n",
      "thal        0\n",
      "target      0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "90ef1ca6-1218-43ff-91e4-2f553dab98b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns dropped: []\n",
      "Remaining columns: Index(['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach',\n",
      "       'exang', 'oldpeak', 'slope', 'ca', 'thal', 'target'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "missing_percentage = df.isnull().mean() * 100 \n",
    "threshold = 30 \n",
    "# Filter columns with more than the threshold percentage of missing values \n",
    "columns_to_drop = missing_percentage[missing_percentage > threshold].index \n",
    "# Drop the columns \n",
    "df = df.drop(columns=columns_to_drop) \n",
    "# Display the resulting dataframe after removing columns with too many missing valu \n",
    "print(f\"Columns dropped: {list(columns_to_drop)}\") \n",
    "print(f\"Remaining columns: {df.columns}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "012af179-abb5-45b0-9dfe-8f3ea0fcde90",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "</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>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>52</td>\n",
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       "      <td>212</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>3</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>145</td>\n",
       "      <td>174</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>125</td>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>148</td>\n",
       "      <td>203</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>138</td>\n",
       "      <td>294</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
       "0   52    1   0       125   212    0        1      168      0      1.0      2   \n",
       "1   53    1   0       140   203    1        0      155      1      3.1      0   \n",
       "2   70    1   0       145   174    0        1      125      1      2.6      0   \n",
       "3   61    1   0       148   203    0        1      161      0      0.0      2   \n",
       "4   62    0   0       138   294    1        1      106      0      1.9      1   \n",
       "\n",
       "   ca  thal  target  \n",
       "0   2     3       0  \n",
       "1   0     3       0  \n",
       "2   0     3       0  \n",
       "3   1     3       0  \n",
       "4   3     2       0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_encoder = LabelEncoder() \n",
    "for column in df.select_dtypes(include=['object']).columns:     \n",
    "    df[column] = label_encoder.fit_transform(df[column]) \n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "362543fc-f08f-4c56-ab1b-164a07379b96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age         0\n",
       "sex         0\n",
       "cp          0\n",
       "trestbps    0\n",
       "chol        0\n",
       "fbs         0\n",
       "restecg     0\n",
       "thalach     0\n",
       "exang       0\n",
       "oldpeak     0\n",
       "slope       0\n",
       "ca          0\n",
       "thal        0\n",
       "target      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Fill missing values in  columns with mode \n",
    "for column in df.select_dtypes(include=['float64']).columns:\n",
    "    mean_value = df[column].mean()  # Get the mode (most frequent value)    \n",
    "    df[column] = df[column].fillna(mean_value) \n",
    "# Fill missing values in categorical columns with mode \n",
    "for column in df.select_dtypes(include=['object']).columns:    \n",
    "    mode_value = df[column].mode()[0]  # Get the mode (most frequent value)    \n",
    "    df[column] = df[column].fillna(mode_value) \n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "065930d8-8faa-44d2-891b-60381a489a5f",
   "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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>212</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>168</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>140</td>\n",
       "      <td>203</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>155</td>\n",
       "      <td>1</td>\n",
       "      <td>3.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>145</td>\n",
       "      <td>174</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>125</td>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>148</td>\n",
       "      <td>203</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>161</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>138</td>\n",
       "      <td>294</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>59</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>140</td>\n",
       "      <td>221</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>164</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021</th>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>258</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>141</td>\n",
       "      <td>1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1022</th>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>275</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>118</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1023</th>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>254</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>159</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>188</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>113</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1025 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
       "0      52    1   0       125   212    0        1      168      0      1.0   \n",
       "1      53    1   0       140   203    1        0      155      1      3.1   \n",
       "2      70    1   0       145   174    0        1      125      1      2.6   \n",
       "3      61    1   0       148   203    0        1      161      0      0.0   \n",
       "4      62    0   0       138   294    1        1      106      0      1.9   \n",
       "...   ...  ...  ..       ...   ...  ...      ...      ...    ...      ...   \n",
       "1020   59    1   1       140   221    0        1      164      1      0.0   \n",
       "1021   60    1   0       125   258    0        0      141      1      2.8   \n",
       "1022   47    1   0       110   275    0        0      118      1      1.0   \n",
       "1023   50    0   0       110   254    0        0      159      0      0.0   \n",
       "1024   54    1   0       120   188    0        1      113      0      1.4   \n",
       "\n",
       "      slope  ca  thal  target  \n",
       "0         2   2     3       0  \n",
       "1         0   0     3       0  \n",
       "2         0   0     3       0  \n",
       "3         2   1     3       0  \n",
       "4         1   3     2       0  \n",
       "...     ...  ..   ...     ...  \n",
       "1020      2   0     2       1  \n",
       "1021      1   1     3       0  \n",
       "1022      1   1     2       0  \n",
       "1023      2   0     2       1  \n",
       "1024      1   1     3       0  \n",
       "\n",
       "[1025 rows x 14 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "039f2e7a-3e69-4ad5-9274-a48046f8de0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6)) \n",
    "sns.histplot(df['age'], bins=15, kde=True, color='blue') \n",
    "plt.title('Age Distribution') \n",
    "plt.xlabel('Age') \n",
    "plt.ylabel('Frequency') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ae7c0e65-eea3-438c-b933-6d40da0a461b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ghufr\\AppData\\Local\\Temp\\ipykernel_21312\\1677457558.py:2: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.countplot(x='target', data=df, palette='Set2')\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6)) \n",
    "sns.countplot(x='target', data=df, palette='Set2') \n",
    "plt.title('target Count') \n",
    "plt.xlabel('target') \n",
    "plt.ylabel('Count') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f5cdc7a1-dc5f-4a74-8968-3cb412e6cdf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6)) \n",
    "sns.scatterplot(x='age', y='trestbps', data=df, hue='target', palette='Set1') \n",
    "plt.title('Age vs trestbps') \n",
    "plt.xlabel('Age') \n",
    "plt.ylabel('trestbps') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bca1d97c-655c-4b03-9f38-d6c1371c88a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6)) \n",
    "sns.scatterplot(x='age', y='cp', data=df, hue='target', palette='Set2') \n",
    "plt.title('Age vs chol') \n",
    "plt.xlabel('Age') \n",
    "plt.ylabel('chol') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "03e4dfd5-09de-4481-a38c-62eda70cb8ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ghufr\\AppData\\Local\\Temp\\ipykernel_21312\\1357428643.py:2: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.boxplot(x='target', y='trestbps', data=df, palette='Set1')\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6)) \n",
    "sns.boxplot(x='target', y='trestbps', data=df, palette='Set1') \n",
    "plt.title('trestbps Levels by target') \n",
    "plt.xlabel('target') \n",
    "plt.ylabel('trestbps') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "eed7a409-1d09-4a4d-94bd-2e16d75f0f06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 10)) \n",
    "sns.heatmap(df.corr(), annot=True, cmap='coolwarm')\n",
    "plt.title('Correlation Heatmap') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "cc970813-6736-467c-81ea-181f55a874c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of males: 713\n",
      "Number of females: 312\n"
     ]
    }
   ],
   "source": [
    "gender_counts = df['sex'].value_counts()  \n",
    "# 'sex' is typically coded as 0 (female) \n",
    "# Display the counts \n",
    "print(\"Number of males:\", gender_counts[1])  \n",
    "# Assuming 1 is for male \n",
    "print(\"Number of females:\", gender_counts[0])  \n",
    "# Assuming 0 is for female"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "738c8579-9ff0-482f-a5b5-3a645c3ac594",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 5)) \n",
    "gender_counts.plot(kind='bar', color=['blue', 'pink']) \n",
    "plt.xticks([0, 1], ['Female (0)', 'Male (1)'], rotation=0) \n",
    "plt.title('Number of Males and Females in Heart Disease Dataset') \n",
    "plt.xlabel('Gender') \n",
    "plt.ylabel('Count') \n",
    "plt.grid(axis='y') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2e68a05e-aa1e-4f19-9b87-689b133f4b5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sex       0    1\n",
      "target          \n",
      "0        86  413\n",
      "1       226  300\n"
     ]
    }
   ],
   "source": [
    "# Group by target (heart disease presence) and sex, then count \n",
    "sex_class_counts = df.groupby(['target', 'sex']).size().unstack(fill_value=0) \n",
    "# Display the result \n",
    "print(sex_class_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3d9a74af-84c0-41c4-96f5-c6ebf02ffb00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1dbb2fa7d10>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a bar chart \n",
    "sex_class_counts.plot(kind='bar', color=['lightblue', 'lightcoral']) \n",
    "plt.title('Number of Males and Females Based on Heart Disease Class') \n",
    "plt.xlabel('Heart Disease Class (0 = No, 1 = Yes)') \n",
    "plt.ylabel('Count') \n",
    "plt.xticks(rotation=0) \n",
    "plt.legend(title='Sex', labels=['Female (0)', 'Male (1)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b554ba36-46d2-452e-a4a0-48e43005a584",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cp_counts = df['cp'].value_counts() \n",
    "# Create a pie chart \n",
    "plt.figure(figsize=(8, 5)) \n",
    "plt.pie(cp_counts, labels=['Type 0', 'Type 1', 'Type 2', 'Type 3'], autopct='%1.1f%%')\n",
    "plt.title('Distribution of Chest Pain Types (cp)') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "27ac8ae5-0455-4047-8212-5096e969a595",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the box plot \n",
    "plt.figure(figsize=(8, 5)) \n",
    "df.boxplot(column='chol', by='target', grid=False) \n",
    "plt.title('Cholesterol Levels by Heart Disease') \n",
    "plt.suptitle('') \n",
    "plt.xlabel('Heart Disease') \n",
    "plt.ylabel('Cholesterol') \n",
    "plt.xticks([1, 2], ['No Disease (0)', 'Disease (1)']) \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "29a90353-fe87-4078-a195-524bbb7c4937",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6)) \n",
    "plt.scatter(df['age'], df['chol'], alpha=0.8) \n",
    "plt.title('Age vs. cholesterol levels') \n",
    "plt.xlabel('Age') \n",
    "plt.ylabel('cholesterol levels') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e24956db-1e88-482a-a769-5160b00e846c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6)) \n",
    "plt.hist(df['age'], bins=20, color='skyblue', edgecolor='black') \n",
    "plt.title('Age Distribution in Heart Disease Dataset') \n",
    "plt.xlabel('Age') \n",
    "plt.ylabel('Frequency') \n",
    "plt.grid(axis='y') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4c030ab6-d183-4d0a-80af-1339c60f5348",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "age_grouped = df.groupby('age')['chol'].mean().reset_index() \n",
    "# Create a line chart plt.figure(figsize=(10, 6)) \n",
    "plt.plot(age_grouped['age'], age_grouped['chol'], marker='o', linestyle='-', color='red' )\n",
    "plt.title('Average Cholesterol Levels by Age') \n",
    "plt.xlabel('Age') \n",
    "plt.ylabel('Average Cholesterol Level') \n",
    "plt.grid() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9aa46e4d-d54f-42fb-8861-42b318cb8004",
   "metadata": {},
   "outputs": [],
   "source": [
    "target_column = 'target' \n",
    "X = df.drop(columns=[target_column])\n",
    "y = df[target_column]\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0fdcaede-78b6-4d24-a5e4-4c1f671dec32",
   "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>Feature</th>\n",
       "      <th>Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>age</td>\n",
       "      <td>71.826755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sex</td>\n",
       "      <td>17.508962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>cp</td>\n",
       "      <td>173.795959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>trestbps</td>\n",
       "      <td>36.362440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>chol</td>\n",
       "      <td>145.226589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>fbs</td>\n",
       "      <td>1.589720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>restecg</td>\n",
       "      <td>6.474776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>thalach</td>\n",
       "      <td>553.201441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>exang</td>\n",
       "      <td>97.437512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>oldpeak</td>\n",
       "      <td>207.842769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>slope</td>\n",
       "      <td>24.476517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ca</td>\n",
       "      <td>182.946144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>thal</td>\n",
       "      <td>17.467042</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Feature       Score\n",
       "0        age   71.826755\n",
       "1        sex   17.508962\n",
       "2         cp  173.795959\n",
       "3   trestbps   36.362440\n",
       "4       chol  145.226589\n",
       "5        fbs    1.589720\n",
       "6    restecg    6.474776\n",
       "7    thalach  553.201441\n",
       "8      exang   97.437512\n",
       "9    oldpeak  207.842769\n",
       "10     slope   24.476517\n",
       "11        ca  182.946144\n",
       "12      thal   17.467042"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "select_feature = SelectKBest(chi2,k=8).fit(X_train, y_train) \n",
    "data = pd.DataFrame([]) \n",
    "data._append(pd.DataFrame({'Feature': X.columns, 'Score': select_feature .scores_}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "7a926f8f-60e1-4f57-8d4b-9e4aeed5bfe2",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_selected = select_feature.transform(X_train) \n",
    "X_test_selected = select_feature.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d87a8231-73b8-4616-9967-37881dfc4fba",
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate_model(model_name, y_true, y_pred):        \n",
    "    # Calculate metrics    \n",
    "    accuracy = accuracy_score(y_true, y_pred)    \n",
    "    precision = precision_score(y_true, y_pred, average='weighted')      \n",
    "    recall = recall_score(y_true, y_pred, average='weighted')    \n",
    "    f1 = f1_score(y_true, y_pred, average='weighted')     \n",
    "    # Output results    \n",
    "    metrics = {        \n",
    "    'Model Name': model_name,        \n",
    "    'Accuracy': accuracy,        \n",
    "    'Precision': precision,        \n",
    "    'Recall': recall,        \n",
    "    'F1 Score': f1,                 }       \n",
    "    return metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c49c6341-e4de-4430-8de5-cc5b633c502e",
   "metadata": {},
   "outputs": [],
   "source": [
    "rf_classifier = RandomForestClassifier(random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "73f0afa7-8ff4-4915-a276-f192bcdb3a1d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Name: \n",
      "RandomForestClassifier\n",
      "Accuracy: 0.9854\n",
      "Precision: 0.9858\n",
      "Recall: 0.9854\n",
      "F1 Score: 0.9854\n",
      "\n",
      "Best hyperparameters found by GridSearchCV:\n",
      "{'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 300}\n"
     ]
    }
   ],
   "source": [
    "param_grid = {    \n",
    "'n_estimators': [100, 200, 300],    \n",
    "'max_depth': [None, 10, 20, 30],    \n",
    "'min_samples_split': [2, 5, 10],    \n",
    "'min_samples_leaf': [1, 2, 4] }\n",
    "\n",
    "grid_search = GridSearchCV(estimator=rf_classifier, param_grid=param_grid, cv=5, scoring='accuracy', n_jobs=-1)\n",
    "grid_search.fit(X_train_selected, y_train)\n",
    "best_rf_classifier = grid_search.best_estimator_\n",
    "y_pred = best_rf_classifier.predict(X_test_selected)\n",
    "evaluation_results = evaluate_model('RandomForestClassifier', y_test, y_pred)\n",
    "\n",
    "for key, value in evaluation_results.items():    \n",
    "    print(f\"{key}: {value:.4f}\" if isinstance(value, float) else f\"{key}: \\n{value}\")\n",
    "\n",
    "print(\"\\nBest hyperparameters found by GridSearchCV:\")\n",
    "print(grid_search.best_params_)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "39d6cc4a-49d6-4fae-9352-592525d99c90",
   "metadata": {},
   "outputs": [],
   "source": [
    "clf_rf_2 = RandomForestClassifier(random_state=43)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "690c9447-383f-4796-9bd1-fff087379513",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected Features (RFE): [ 0  2  3  4  7  8  9 11]\n"
     ]
    }
   ],
   "source": [
    "select_feature = SelectKBest(chi2, k=8).fit(X_train, y_train)\n",
    "X_train_selected = select_feature.transform(X_train)\n",
    "X_test_selected = select_feature.transform(X_test)\n",
    "selected_features = select_feature.get_support(indices=True)\n",
    "print(\"Selected Features (RFE):\", selected_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "2530ab1b-e9b8-471b-9967-a5b45a2e6be5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Name: \n",
      "RandomForestClassifier\n",
      "Accuracy: 0.9854\n",
      "Precision: 0.9858\n",
      "Recall: 0.9854\n",
      "F1 Score: 0.9854\n",
      "\n",
      "Best hyperparameters found by GridSearchCV:\n",
      "{'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 300}\n"
     ]
    }
   ],
   "source": [
    "rf_classifier = RandomForestClassifier(random_state=42)\n",
    "\n",
    "param_grid = {    'n_estimators': [100, 200, 300],    \n",
    "    'max_depth': [None, 10, 20, 30],    \n",
    "    'min_samples_split': [2, 5, 10],    \n",
    "    'min_samples_leaf': [1, 2, 4] }\n",
    "grid_search = GridSearchCV(estimator=rf_classifier, param_grid=param_grid, cv=5, scoring='accuracy', n_jobs=-1)\n",
    "grid_search.fit(X_train_selected_rfe, y_train)\n",
    "best_rf_classifier = grid_search.best_estimator_\n",
    "y_pred = best_rf_classifier.predict(X_test_selected)\n",
    "\n",
    "evaluation_results = evaluate_model('RandomForestClassifier', y_test, y_pred)\n",
    "for key, value in evaluation_results.items():    \n",
    "    print(f\"{key}: {value:.4f}\" if isinstance(value, float) else f\"{key}: \\n{value}\")\n",
    "print(\"\\nBest hyperparameters found by GridSearchCV:\") \n",
    "print(grid_search.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "33966bbd-d8b7-4008-a912-7a469eb2d41a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# other way for code "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "06998486-6080-4399-8df4-dfbbbd0be038",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Model Accuracy: 0.9853658536585366\n"
     ]
    }
   ],
   "source": [
    "# Split data into features and target\n",
    "X = df.drop('target', axis=1)\n",
    "y = df['target']\n",
    "\n",
    "# Split into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Define the model and parameter grid\n",
    "model = RandomForestClassifier(random_state=42)\n",
    "param_grid = {\n",
    "    'n_estimators': [100, 200, 300],\n",
    "    'max_depth': [None, 10, 20, 30],\n",
    "    'min_samples_split': [2, 5, 10]\n",
    "}\n",
    "\n",
    "# Perform grid search\n",
    "grid_search = GridSearchCV(estimator=model, param_grid=param_grid, cv=5, scoring='accuracy')\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Evaluate the model\n",
    "best_model = grid_search.best_estimator_\n",
    "y_pred = best_model.predict(X_test)\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(f'Best Model Accuracy: {accuracy}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "817cd40d-85ce-41b1-abfe-e88a034088a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected Features by RFE: Index(['cp', 'thalach', 'oldpeak', 'ca', 'thal'], dtype='object')\n",
      "Selected Features by Importance: Index(['thal', 'oldpeak', 'thalach', 'ca', 'cp'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "# Recursive Feature Elimination\n",
    "rfe = RFE(model, n_features_to_select=5)\n",
    "rfe.fit(X_train, y_train)\n",
    "selected_features_rfe = X.columns[rfe.support_]\n",
    "print(f'Selected Features by RFE: {selected_features_rfe}')\n",
    "\n",
    "# Feature Importance\n",
    "model.fit(X_train, y_train)\n",
    "importances = model.feature_importances_\n",
    "selected_features_importance = X.columns[importances.argsort()[-5:]]\n",
    "print(f'Selected Features by Importance: {selected_features_importance}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6962d140-bb53-4f25-ad7f-2f8cf1ab5194",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy with RFE Selected Features: 0.9804878048780488\n",
      "Accuracy with Importance Selected Features: 0.9804878048780488\n"
     ]
    }
   ],
   "source": [
    "# Use selected features from RFE\n",
    "X_train_rfe = X_train[selected_features_rfe]\n",
    "X_test_rfe = X_test[selected_features_rfe]\n",
    "\n",
    "# Use selected features from feature importance\n",
    "X_train_importance = X_train[selected_features_importance]\n",
    "X_test_importance = X_test[selected_features_importance]\n",
    "\n",
    "# Train and evaluate model on RFE selected features\n",
    "model.fit(X_train_rfe, y_train)\n",
    "y_pred_rfe = model.predict(X_test_rfe)\n",
    "accuracy_rfe = accuracy_score(y_test, y_pred_rfe)\n",
    "print(f'Accuracy with RFE Selected Features: {accuracy_rfe}')\n",
    "\n",
    "# Train and evaluate model on feature importance selected features\n",
    "model.fit(X_train_importance, y_train)\n",
    "y_pred_importance = model.predict(X_test_importance)\n",
    "accuracy_importance = accuracy_score(y_test, y_pred_importance)\n",
    "print(f'Accuracy with Importance Selected Features: {accuracy_importance}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "d21fbcc7-9ec8-4a31-a6eb-fbcb57c5e9b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns \n",
    "plt.figure(figsize=(12, 6))\n",
    "for i, col in enumerate(df.columns[:3]):  # Only plotting the first 3 features\n",
    "  plt.subplot(1, 3, i+1)\n",
    "  # Create subplots for each feature    \n",
    "  sns.boxplot(x=df[col])    \n",
    "  plt.title(f\"Boxplot for {col}\")\n",
    "plt.tight_layout() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "58695c2d-0994-432a-98a6-3527caf79813",
   "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
}