heart-disease-prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rcParams\n",
    "from matplotlib.cm import rainbow\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('/home/shiva-rana/ml_in_healthcare/heart.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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   trestbps  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   thalach   303 non-null    int64  \n",
      " 8   exang     303 non-null    int64  \n",
      " 9   oldpeak   303 non-null    float64\n",
      " 10  slope     303 non-null    int64  \n",
      " 11  ca        303 non-null    int64  \n",
      " 12  thal      303 non-null    int64  \n",
      " 13  target    303 non-null    int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 33.3 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>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    trestbps        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     thalach       exang     oldpeak       slope          ca  \\\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",
       "             thal      target  \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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "cor = df.corr()\n",
    "top_features = cor.index\n",
    "plt.figure(figsize=(20,20))\n",
    "g=sns.heatmap(df[top_features].corr(),annot=True,cmap=\"RdYlGn\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'age'}>,\n",
       "        <AxesSubplot:title={'center':'sex'}>,\n",
       "        <AxesSubplot:title={'center':'cp'}>,\n",
       "        <AxesSubplot:title={'center':'trestbps'}>],\n",
       "       [<AxesSubplot:title={'center':'chol'}>,\n",
       "        <AxesSubplot:title={'center':'fbs'}>,\n",
       "        <AxesSubplot:title={'center':'restecg'}>,\n",
       "        <AxesSubplot:title={'center':'thalach'}>],\n",
       "       [<AxesSubplot:title={'center':'exang'}>,\n",
       "        <AxesSubplot:title={'center':'oldpeak'}>,\n",
       "        <AxesSubplot:title={'center':'slope'}>,\n",
       "        <AxesSubplot:title={'center':'ca'}>],\n",
       "       [<AxesSubplot:title={'center':'thal'}>,\n",
       "        <AxesSubplot:title={'center':'target'}>, <AxesSubplot:>,\n",
       "        <AxesSubplot:>]], dtype=object)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='target', ylabel='count'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FPQojRoxQSkqK/v3vf0uSdu/erdGjR8vj8aiqqkqSVFVVpalTp4Z7NACIemE/fCRJDz/8sH7yk5/o3LlzSktL0+rVq9Xd3a2lS5eqsrJSqampWrt2bSRGA4CoFpEopKena8OGDZ/avn79+ghMAwD4Lz7RDAAwiAIAwCAKAACDKAAADKIAADCIAgDAIAoAAIMoAAAMogAAMIgCAMAgCgAAgygAAAyiAAAwiAIAwCAKAACDKAAAjIhFoaurSwUFBfrhD38oSWpsbNT8+fOVk5OjpUuXqqOjI1KjAUDUilgUXnzxRY0ePdr8/swzz+iuu+7SO++8o/j4eFVWVkZqNACIWhGJgt/v1/bt23X77bdLkizLUl1dnXJzcyVJc+fOldfrjcRoABDVIhKFsrIyLV++XIMGnb/7lpYWxcfHKzb2/CmjU1JSFAgEIjEaAES12HDf4bZt25SYmKgbb7xR7777bkj7CgaD8vl8Ie0jPT09pNvj6hXq2goVaxM9sXNthj0K9fX12rp1q3bu3KlgMKiPP/5YTzzxhNrb29XZ2anY2Fj5/X65XK5L7svpdPLAgW1YWxioQl2bvUUl7IePfvzjH2vnzp3aunWr1qxZo2984xv6+c9/rokTJ2rLli2SpNdff10ejyfcowFA1Bswn1NYvny5fve73yknJ0etra2aP39+pEcCgKgT9sNHnzRx4kRNnDhRkpSWlsbbUAEgwgbMMwUAQOQRBQCAQRQAAAZRAAAYRAEAYBAFAIBBFAAABlEAABhEAQBgEAUAgEEUAAAGUQAAGEQBAGAQBQCAQRQAAAZRAAAYRAEAYIT9zGsffvih7r//fjU3N8vhcOjb3/62Fi5cqNbWVi1btkwnTpzQddddp7Vr1yohISHc4wFAVAv7M4WYmBj99Kc/1VtvvaU//elPevnll3X06FGVl5fL7XarpqZGbrdb5eXl4R4NAKJe2KOQnJysjIwMSdLQoUM1atQoBQIBeb1eFRQUSJIKCgpUW1sb7tEAIOqF/fDRJx0/flw+n09ZWVlqbm5WcnKyJGnEiBFqbm6+5O2DwaB8Pl9IM6Snp4d0e1y9Ql1boWJtoid2rs2IReH06dNavHixHnzwQQ0dOvSCyxwOhxwOxyX34XQ6eeDANqwtDFShrs3eohKRdx+dO3dOixcv1uzZszV9+nRJUlJSkpqamiRJTU1NSkxMjMRoABDVwh4Fy7L00EMPadSoUSoqKjLbPR6PqqqqJElVVVWaOnVquEcDgKgX9sNH//jHP7Rx40aNGzdOt912mySppKREixYt0tKlS1VZWanU1FStXbs23KMBQNQLexS+9rWv6ciRIxe9bP369WGeBgDwSXyiGQBgEAUAgEEUAAAGUQAAGEQBAGAQBQCAQRQAAAZRAAAYRAEAYBAFAIBBFAAABlEAABhEAQBgEAUAgEEUAAAGUQAAGAMuCjt37lRubq5ycnJUXl4e6XEAIKoMqCh0dXXp8ccfV0VFhaqrq7Vp0yYdPXo00mMBQNQYUFE4cOCARo4cqbS0NMXFxSkvL09erzfSYwFA1Aj7OZp7EwgElJKSYn53uVw6cOBAj9cPBoPy+Xwh3+/4ISHvAleZy7GuLovrbor0BBhg/nMZ1mYwGOzxsgEVhc8qOzs70iMAwFVlQB0+crlc8vv95vdAICCXyxXBiQAgugyoKHz1q19VQ0ODGhsb1dHRoerqank8nkiPBQBRY0AdPoqNjdWKFSv0/e9/X11dXZo3b57Gjh0b6bEAIGo4LMuyIj0EAGBgGFCHjwAAkUUUAAAGUQBfLYIBq7S0VG63W/n5+ZEeJWoQhSjHV4tgICssLFRFRUWkx4gqRCHK8dUiGMgmTJighISESI8RVYhClLvYV4sEAoEITgQgkogCAMAgClGOrxYB8ElEIcrx1SIAPolPNEM7duxQWVmZ+WqRH/3oR5EeCZAklZSUaM+ePWppaVFSUpKKi4s1f/78SI91VSMKAACDw0cAAIMoAAAMogAAMIgCAMAgCgAAgygAvWhvb9cf/vAH2++ntraWLyLEgEAUgF60t7frlVde6fP1LctSd3f3Z74fooCBgs8pAL1YtmyZvF6vvvKVr2jixIk6cuSI2tvb1dnZqSVLlmjatGk6fvy47rnnHmVlZenQoUMqLy9XVVWV3njjDSUmJuqLX/yiMjIydM899+jYsWN67LHH1NLSos997nNauXKl2tradO+992ro0KEaNmyYfvnLX+pLX/pSpP90RCsLQI8aGxutvLw8y7Is69y5c9apU6csy7Ks5uZma9q0aVZ3d7fV2NhojR8/3tq7d69lWZa1f/9+a86cOdbZs2etU6dOWTk5OVZFRYVlWZb1ve99z/rggw8sy7Ksffv2WQsWLLAsy7IeeOABa/PmzeH944CLiI10lIArhWVZWrNmjd577z0NGjRIgUBAH330kSQpNTVV2dnZkqT6+npNnTpVTqdTTqdTU6ZMkSSdPn1ae/fu1ZIlS8w+Ozo6wv53AL0hCkAfvfnmmzp58qQ2bNigwYMHy+PxKBgMSpI+//nPX/L2lmUpPj5eGzdutHtUoN94oRnoxTXXXKPTp09Lkk6dOqWkpCQNHjxYdXV1OnHixEVvc/PNN2vbtm0KBoM6ffq0tm/fLkkaOnSorr/+em3evFnS+UgcPnz4U/cDRBJRAHpx7bXX6uabb1Z+fr4OHz6sgwcPavbs2dq4caNGjRp10dtkZmbK4/Fozpw5+sEPfqBx48Zp2LBhkqSf/exnqqys1Jw5c5SXl6fa2lpJ0qxZs/Tb3/5WBQUFOnbsWNj+PuB/8e4jwAanT5/WNddcozNnzui73/2uVq5cqYyMjEiPBVwSrykANlixYoWOHj2qYDCouXPnEgRcMXimAAAweE0BAGAQBQCAQRQAAAZRAAAYRAEAYPwfQd9fX/UNzQEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "sns.countplot(x='target',data=df,palette='RdBu_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=pd.get_dummies(df, columns = ['sex', 'cp', 'fbs', 'restecg', 'exang', 'slope', 'ca', 'thal'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "standardScaler = StandardScaler()\n",
    "columns_to_scale = ['age', 'trestbps','chol','thalach','oldpeak']\n",
    "dataset[columns_to_scale] = standardScaler.fit_transform(dataset[columns_to_scale])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>thalach</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>target</th>\n",
       "      <th>sex_0</th>\n",
       "      <th>sex_1</th>\n",
       "      <th>cp_0</th>\n",
       "      <th>cp_1</th>\n",
       "      <th>...</th>\n",
       "      <th>slope_2</th>\n",
       "      <th>ca_0</th>\n",
       "      <th>ca_1</th>\n",
       "      <th>ca_2</th>\n",
       "      <th>ca_3</th>\n",
       "      <th>ca_4</th>\n",
       "      <th>thal_0</th>\n",
       "      <th>thal_1</th>\n",
       "      <th>thal_2</th>\n",
       "      <th>thal_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.952197</td>\n",
       "      <td>0.763956</td>\n",
       "      <td>-0.256334</td>\n",
       "      <td>0.015443</td>\n",
       "      <td>1.087338</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.915313</td>\n",
       "      <td>-0.092738</td>\n",
       "      <td>0.072199</td>\n",
       "      <td>1.633471</td>\n",
       "      <td>2.122573</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1.474158</td>\n",
       "      <td>-0.092738</td>\n",
       "      <td>-0.816773</td>\n",
       "      <td>0.977514</td>\n",
       "      <td>0.310912</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.180175</td>\n",
       "      <td>-0.663867</td>\n",
       "      <td>-0.198357</td>\n",
       "      <td>1.239897</td>\n",
       "      <td>-0.206705</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.290464</td>\n",
       "      <td>-0.663867</td>\n",
       "      <td>2.082050</td>\n",
       "      <td>0.583939</td>\n",
       "      <td>-0.379244</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        age  trestbps      chol   thalach   oldpeak  target  sex_0  sex_1  \\\n",
       "0  0.952197  0.763956 -0.256334  0.015443  1.087338       1      0      1   \n",
       "1 -1.915313 -0.092738  0.072199  1.633471  2.122573       1      0      1   \n",
       "2 -1.474158 -0.092738 -0.816773  0.977514  0.310912       1      1      0   \n",
       "3  0.180175 -0.663867 -0.198357  1.239897 -0.206705       1      0      1   \n",
       "4  0.290464 -0.663867  2.082050  0.583939 -0.379244       1      1      0   \n",
       "\n",
       "   cp_0  cp_1  ...  slope_2  ca_0  ca_1  ca_2  ca_3  ca_4  thal_0  thal_1  \\\n",
       "0     0     0  ...        0     1     0     0     0     0       0       1   \n",
       "1     0     0  ...        0     1     0     0     0     0       0       0   \n",
       "2     0     1  ...        1     1     0     0     0     0       0       0   \n",
       "3     0     1  ...        1     1     0     0     0     0       0       0   \n",
       "4     1     0  ...        1     1     0     0     0     0       0       0   \n",
       "\n",
       "   thal_2  thal_3  \n",
       "0       0       0  \n",
       "1       1       0  \n",
       "2       1       0  \n",
       "3       1       0  \n",
       "4       1       0  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "y=dataset['target']\n",
    "X=dataset.drop(['target'],axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    1\n",
       "2    1\n",
       "3    1\n",
       "4    1\n",
       "Name: target, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 303 entries, 0 to 302\n",
      "Data columns (total 30 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   age        303 non-null    float64\n",
      " 1   trestbps   303 non-null    float64\n",
      " 2   chol       303 non-null    float64\n",
      " 3   thalach    303 non-null    float64\n",
      " 4   oldpeak    303 non-null    float64\n",
      " 5   sex_0      303 non-null    uint8  \n",
      " 6   sex_1      303 non-null    uint8  \n",
      " 7   cp_0       303 non-null    uint8  \n",
      " 8   cp_1       303 non-null    uint8  \n",
      " 9   cp_2       303 non-null    uint8  \n",
      " 10  cp_3       303 non-null    uint8  \n",
      " 11  fbs_0      303 non-null    uint8  \n",
      " 12  fbs_1      303 non-null    uint8  \n",
      " 13  restecg_0  303 non-null    uint8  \n",
      " 14  restecg_1  303 non-null    uint8  \n",
      " 15  restecg_2  303 non-null    uint8  \n",
      " 16  exang_0    303 non-null    uint8  \n",
      " 17  exang_1    303 non-null    uint8  \n",
      " 18  slope_0    303 non-null    uint8  \n",
      " 19  slope_1    303 non-null    uint8  \n",
      " 20  slope_2    303 non-null    uint8  \n",
      " 21  ca_0       303 non-null    uint8  \n",
      " 22  ca_1       303 non-null    uint8  \n",
      " 23  ca_2       303 non-null    uint8  \n",
      " 24  ca_3       303 non-null    uint8  \n",
      " 25  ca_4       303 non-null    uint8  \n",
      " 26  thal_0     303 non-null    uint8  \n",
      " 27  thal_1     303 non-null    uint8  \n",
      " 28  thal_2     303 non-null    uint8  \n",
      " 29  thal_3     303 non-null    uint8  \n",
      "dtypes: float64(5), uint8(25)\n",
      "memory usage: 19.4 KB\n"
     ]
    }
   ],
   "source": [
    "X.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "knn_score = []\n",
    "for i in range(1,21):\n",
    "    knn_classifier = KNeighborsClassifier(n_neighbors = i)\n",
    "    score = cross_val_score(knn_classifier,X,y,cv=10)\n",
    "    knn_score.append(score.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'K neighbors Classifier scores for different K values')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "plt.plot([k for k in range(1,21)], knn_score, color = 'red')\n",
    "for i in range(1,21):\n",
    "    plt.text(i, knn_score[i-1], (i,knn_score[i-1]))\n",
    "plt.xticks([i for i in range(1,21)])\n",
    "plt.xlabel('Number of Neighbors (K)')\n",
    "plt.ylabel('Scores')\n",
    "plt.title('K neighbors Classifier scores for different K values')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "knn_classifier = KNeighborsClassifier(n_neighbors=12)\n",
    "score=cross_val_score(knn_classifier,X,y,cv=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8448387096774195"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score.mean()"
   ]
  }
 ],
 "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
}