New Code Framingham Dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e3b09659-17d0-447e-9bb2-dae709cfd56c",
   "metadata": {},
   "source": [
    "# Machine Learning Approach For Heart Attack Prediction\n",
    "# Framingham DATASET"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b9c67ff-5cac-4752-aae0-666b47edec06",
   "metadata": {},
   "source": [
    "## Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6f67685e-9bdf-4d50-ab10-eee328f48d96",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4e44ed4-e507-4dc4-b579-36c850066ba6",
   "metadata": {},
   "source": [
    "## Importing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "46a5ec4e-32f7-4af4-9aa9-fa7356bd6ae2",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>education</th>\n",
       "      <th>currentSmoker</th>\n",
       "      <th>cigsPerDay</th>\n",
       "      <th>BPMeds</th>\n",
       "      <th>prevalentStroke</th>\n",
       "      <th>prevalentHyp</th>\n",
       "      <th>diabetes</th>\n",
       "      <th>totChol</th>\n",
       "      <th>sysBP</th>\n",
       "      <th>diaBP</th>\n",
       "      <th>BMI</th>\n",
       "      <th>heartRate</th>\n",
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       "      <td>70.0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>28.58</td>\n",
       "      <td>65.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>23.10</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>4235</th>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>22.00</td>\n",
       "      <td>84.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>15.0</td>\n",
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       "      <td>210.0</td>\n",
       "      <td>126.5</td>\n",
       "      <td>87.0</td>\n",
       "      <td>19.16</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4237</th>\n",
       "      <td>0</td>\n",
       "      <td>52</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>269.0</td>\n",
       "      <td>133.5</td>\n",
       "      <td>83.0</td>\n",
       "      <td>21.47</td>\n",
       "      <td>80.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
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       "      <td>3.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>25.60</td>\n",
       "      <td>67.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4239</th>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>20.91</td>\n",
       "      <td>85.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>4240 rows × 16 columns</p>\n",
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      "text/plain": [
       "      sex  age  education  currentSmoker  cigsPerDay  BPMeds  prevalentStroke  \\\n",
       "0       1   39        4.0              0         0.0     0.0                0   \n",
       "1       0   46        2.0              0         0.0     0.0                0   \n",
       "2       1   48        1.0              1        20.0     0.0                0   \n",
       "3       0   61        3.0              1        30.0     0.0                0   \n",
       "4       0   46        3.0              1        23.0     0.0                0   \n",
       "...   ...  ...        ...            ...         ...     ...              ...   \n",
       "4235    0   48        2.0              1        20.0     NaN                0   \n",
       "4236    0   44        1.0              1        15.0     0.0                0   \n",
       "4237    0   52        2.0              0         0.0     0.0                0   \n",
       "4238    1   40        3.0              0         0.0     0.0                0   \n",
       "4239    0   39        3.0              1        30.0     0.0                0   \n",
       "\n",
       "      prevalentHyp  diabetes  totChol  sysBP  diaBP    BMI  heartRate  \\\n",
       "0                0         0    195.0  106.0   70.0  26.97       80.0   \n",
       "1                0         0    250.0  121.0   81.0  28.73       95.0   \n",
       "2                0         0    245.0  127.5   80.0  25.34       75.0   \n",
       "3                1         0    225.0  150.0   95.0  28.58       65.0   \n",
       "4                0         0    285.0  130.0   84.0  23.10       85.0   \n",
       "...            ...       ...      ...    ...    ...    ...        ...   \n",
       "4235             0         0    248.0  131.0   72.0  22.00       84.0   \n",
       "4236             0         0    210.0  126.5   87.0  19.16       86.0   \n",
       "4237             0         0    269.0  133.5   83.0  21.47       80.0   \n",
       "4238             1         0    185.0  141.0   98.0  25.60       67.0   \n",
       "4239             0         0    196.0  133.0   86.0  20.91       85.0   \n",
       "\n",
       "      glucose  TenYearCHD  \n",
       "0        77.0           0  \n",
       "1        76.0           0  \n",
       "2        70.0           0  \n",
       "3       103.0           1  \n",
       "4        85.0           0  \n",
       "...       ...         ...  \n",
       "4235     86.0           0  \n",
       "4236      NaN           0  \n",
       "4237    107.0           0  \n",
       "4238     72.0           0  \n",
       "4239     80.0           0  \n",
       "\n",
       "[4240 rows x 16 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path = r\"D:\\Materials\\Materials  o6u\\LEVEL 3 AI Specialization\\Semester 2\\Fundamental of DataSceince\\Papers\\project paper\\framingham.csv\"\n",
    "df = pd.read_csv(path)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be43c53e-11b4-477a-8930-7b79430efe2c",
   "metadata": {},
   "source": [
    "## view First five rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7771e662-01e2-47fa-85dc-d76756f37211",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>education</th>\n",
       "      <th>currentSmoker</th>\n",
       "      <th>cigsPerDay</th>\n",
       "      <th>BPMeds</th>\n",
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       "      <th>prevalentHyp</th>\n",
       "      <th>diabetes</th>\n",
       "      <th>totChol</th>\n",
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       "      <th>diaBP</th>\n",
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       "      <th>heartRate</th>\n",
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       "      <th>0</th>\n",
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       "      <td>39</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>70.0</td>\n",
       "      <td>26.97</td>\n",
       "      <td>80.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>81.0</td>\n",
       "      <td>28.73</td>\n",
       "      <td>95.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>127.5</td>\n",
       "      <td>80.0</td>\n",
       "      <td>25.34</td>\n",
       "      <td>75.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>28.58</td>\n",
       "      <td>65.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>23.10</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0</td>\n",
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      "text/plain": [
       "   sex  age  education  currentSmoker  cigsPerDay  BPMeds  prevalentStroke  \\\n",
       "0    1   39        4.0              0         0.0     0.0                0   \n",
       "1    0   46        2.0              0         0.0     0.0                0   \n",
       "2    1   48        1.0              1        20.0     0.0                0   \n",
       "3    0   61        3.0              1        30.0     0.0                0   \n",
       "4    0   46        3.0              1        23.0     0.0                0   \n",
       "\n",
       "   prevalentHyp  diabetes  totChol  sysBP  diaBP    BMI  heartRate  glucose  \\\n",
       "0             0         0    195.0  106.0   70.0  26.97       80.0     77.0   \n",
       "1             0         0    250.0  121.0   81.0  28.73       95.0     76.0   \n",
       "2             0         0    245.0  127.5   80.0  25.34       75.0     70.0   \n",
       "3             1         0    225.0  150.0   95.0  28.58       65.0    103.0   \n",
       "4             0         0    285.0  130.0   84.0  23.10       85.0     85.0   \n",
       "\n",
       "   TenYearCHD  \n",
       "0           0  \n",
       "1           0  \n",
       "2           0  \n",
       "3           1  \n",
       "4           0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3078057-671b-46f5-b2cb-c92d32968431",
   "metadata": {},
   "source": [
    "## Information of the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bdb698d9-f006-4ac0-8ced-f74abb571b11",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4240 entries, 0 to 4239\n",
      "Data columns (total 16 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   sex              4240 non-null   int64  \n",
      " 1   age              4240 non-null   int64  \n",
      " 2   education        4135 non-null   float64\n",
      " 3   currentSmoker    4240 non-null   int64  \n",
      " 4   cigsPerDay       4211 non-null   float64\n",
      " 5   BPMeds           4187 non-null   float64\n",
      " 6   prevalentStroke  4240 non-null   int64  \n",
      " 7   prevalentHyp     4240 non-null   int64  \n",
      " 8   diabetes         4240 non-null   int64  \n",
      " 9   totChol          4190 non-null   float64\n",
      " 10  sysBP            4240 non-null   float64\n",
      " 11  diaBP            4240 non-null   float64\n",
      " 12  BMI              4221 non-null   float64\n",
      " 13  heartRate        4239 non-null   float64\n",
      " 14  glucose          3852 non-null   float64\n",
      " 15  TenYearCHD       4240 non-null   int64  \n",
      "dtypes: float64(9), int64(7)\n",
      "memory usage: 530.1 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdae5bd4-834a-4e93-b40a-45708daee8bd",
   "metadata": {},
   "source": [
    "## There is Null so we will put the Median instead of the null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "40db9b61-4df6-4e6b-bc85-f2bbcc717aba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex                  0\n",
       "age                  0\n",
       "education          105\n",
       "currentSmoker        0\n",
       "cigsPerDay          29\n",
       "BPMeds              53\n",
       "prevalentStroke      0\n",
       "prevalentHyp         0\n",
       "diabetes             0\n",
       "totChol             50\n",
       "sysBP                0\n",
       "diaBP                0\n",
       "BMI                 19\n",
       "heartRate            1\n",
       "glucose            388\n",
       "TenYearCHD           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6545efc-41a7-4540-9b7d-10d0433cac22",
   "metadata": {},
   "source": [
    "## Change the nullvalues to The median of the features that have nulls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6cb71d76-4d50-4fca-8c25-4f3a9f90b7d5",
   "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>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>education</th>\n",
       "      <th>currentSmoker</th>\n",
       "      <th>cigsPerDay</th>\n",
       "      <th>BPMeds</th>\n",
       "      <th>prevalentStroke</th>\n",
       "      <th>prevalentHyp</th>\n",
       "      <th>diabetes</th>\n",
       "      <th>totChol</th>\n",
       "      <th>sysBP</th>\n",
       "      <th>diaBP</th>\n",
       "      <th>BMI</th>\n",
       "      <th>heartRate</th>\n",
       "      <th>glucose</th>\n",
       "      <th>TenYearCHD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>26.97</td>\n",
       "      <td>80.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>28.73</td>\n",
       "      <td>95.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>127.5</td>\n",
       "      <td>80.0</td>\n",
       "      <td>25.34</td>\n",
       "      <td>75.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>28.58</td>\n",
       "      <td>65.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>23.10</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sex  age  education  currentSmoker  cigsPerDay  BPMeds  prevalentStroke  \\\n",
       "0    1   39        4.0              0         0.0     0.0                0   \n",
       "1    0   46        2.0              0         0.0     0.0                0   \n",
       "2    1   48        1.0              1        20.0     0.0                0   \n",
       "3    0   61        3.0              1        30.0     0.0                0   \n",
       "4    0   46        3.0              1        23.0     0.0                0   \n",
       "\n",
       "   prevalentHyp  diabetes  totChol  sysBP  diaBP    BMI  heartRate  glucose  \\\n",
       "0             0         0    195.0  106.0   70.0  26.97       80.0     77.0   \n",
       "1             0         0    250.0  121.0   81.0  28.73       95.0     76.0   \n",
       "2             0         0    245.0  127.5   80.0  25.34       75.0     70.0   \n",
       "3             1         0    225.0  150.0   95.0  28.58       65.0    103.0   \n",
       "4             0         0    285.0  130.0   84.0  23.10       85.0     85.0   \n",
       "\n",
       "   TenYearCHD  \n",
       "0           0  \n",
       "1           0  \n",
       "2           0  \n",
       "3           1  \n",
       "4           0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "List_Nullfeatures = [\"education\", \"cigsPerDay\", \"BPMeds\", \"totChol\",\"BMI\", \"heartRate\", \"glucose\"]\n",
    "for i in range(len(List_Nullfeatures)):\n",
    "    median_value = df[List_Nullfeatures[i]].median()\n",
    "    df[List_Nullfeatures[i]].fillna(median_value, inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82f70a90-9256-49be-ace0-efbfd0539f02",
   "metadata": {},
   "source": [
    "## Check again for nullValues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "055f0647-076c-4b07-ae85-b58ef1cb7f9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex                0\n",
       "age                0\n",
       "education          0\n",
       "currentSmoker      0\n",
       "cigsPerDay         0\n",
       "BPMeds             0\n",
       "prevalentStroke    0\n",
       "prevalentHyp       0\n",
       "diabetes           0\n",
       "totChol            0\n",
       "sysBP              0\n",
       "diaBP              0\n",
       "BMI                0\n",
       "heartRate          0\n",
       "glucose            0\n",
       "TenYearCHD         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9baaf664-6fde-472b-8f5a-27c515be2302",
   "metadata": {},
   "source": [
    "### So now our data have not any null values and all the data are numerical\n",
    "#### So we dont have to convert the type of the data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c409625-ed87-4c65-a263-898ff619a820",
   "metadata": {},
   "source": [
    "## Number of people that may be have Heart Attack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8dbd5ba2-c19c-458f-860d-80e1408c0094",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"TenYearCHD\"].value_counts().plot(kind=\"bar\")\n",
    "plt.tick_params(labelrotation=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b435f25-f118-487a-a8cc-94410eb603b6",
   "metadata": {},
   "source": [
    "## Distribution of Ages in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9c813525-8dcc-4390-9813-54ad6f2ceb23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.age.groupby(pd.cut(df[\"age\"], 5),observed=False).count().plot(kind=\"bar\")\n",
    "df.age.groupby(pd.cut(df[\"age\"], 5),observed = False).count().plot(kind=\"line\", marker='+', color=\"Green\")\n",
    "plt.tick_params(labelrotation=0)\n",
    "plt.title(\"Age Distribution of our Data\")\n",
    "plt.ylabel(\"Count of Sample\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a4734d0-bed5-4c54-b597-1e836c81c836",
   "metadata": {},
   "source": [
    "## Age Wise Disease distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "22b30828-2285-43c7-9c71-c1847fd8feb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.crosstab(df[\"age\"], df[\"TenYearCHD\"]).groupby(pd.qcut(df[\"age\"], 5),observed=False).sum().plot(kind=\"bar\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.legend([\"No Heart Disease\", \"Heart Disease\"])\n",
    "plt.xlabel(\"Age\")\n",
    "plt.ylabel(\"Count of Patients\")\n",
    "plt.title(\"Age Wise - Heart Disease - Distribution of Data\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "261ed30a-32aa-4257-9db4-a0a7f5cf55e5",
   "metadata": {},
   "source": [
    "## BMI in Correlation With Heart Disease"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a00c8fea-f9a2-4939-bf10-a1bf72b6a4f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.crosstab(df[\"BMI\"],df[\"TenYearCHD\"]).groupby(pd.qcut(df.BMI, 5),observed=False).mean().plot(kind=\"bar\")\n",
    "plt.legend([\"No Heart Disease\", \"Heart Disease\"])\n",
    "plt.ylabel(\"Average count of Patients\")\n",
    "plt.xlabel(\"BMI\")\n",
    "plt.title(\"BMI in correlation with Heart Disease Positivity Ratio\")\n",
    "plt.tick_params(labelrotation=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b662adc-c7a2-44d3-b834-bb4ff0188c5a",
   "metadata": {},
   "source": [
    "## Correlation Matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5e538b9-600f-4219-ae47-86aa98a03cd7",
   "metadata": {},
   "source": [
    "We are dropping the column education because a doctor would have to decide on which education level to put a patient and this could result in very subjective outcomes and it is also not very handy to put in practice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "414b4adc-3885-4065-a6e6-dd0d960cff29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1050x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10.5,6))\n",
    "sns.heatmap(df.corr(), annot=True, cmap=\"YlGnBu\", fmt='.2f', annot_kws={\"size\": 7.5})\n",
    "plt.title(\"Correlation Matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95d63a10-41dc-4a7f-a705-2e757247b86e",
   "metadata": {},
   "source": [
    "## Drop feature Education from the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "aa2a3ddb-30bd-4e20-acee-30e6ca41b9ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(['education'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2769bc6a-84d1-4d8f-b80d-6efa7e13cab5",
   "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>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>currentSmoker</th>\n",
       "      <th>cigsPerDay</th>\n",
       "      <th>BPMeds</th>\n",
       "      <th>prevalentStroke</th>\n",
       "      <th>prevalentHyp</th>\n",
       "      <th>diabetes</th>\n",
       "      <th>totChol</th>\n",
       "      <th>sysBP</th>\n",
       "      <th>diaBP</th>\n",
       "      <th>BMI</th>\n",
       "      <th>heartRate</th>\n",
       "      <th>glucose</th>\n",
       "      <th>TenYearCHD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>26.97</td>\n",
       "      <td>80.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>28.73</td>\n",
       "      <td>95.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>127.5</td>\n",
       "      <td>80.0</td>\n",
       "      <td>25.34</td>\n",
       "      <td>75.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>28.58</td>\n",
       "      <td>65.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>23.10</td>\n",
       "      <td>85.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4235</th>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>22.00</td>\n",
       "      <td>84.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4236</th>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>126.5</td>\n",
       "      <td>87.0</td>\n",
       "      <td>19.16</td>\n",
       "      <td>86.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4237</th>\n",
       "      <td>0</td>\n",
       "      <td>52</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>133.5</td>\n",
       "      <td>83.0</td>\n",
       "      <td>21.47</td>\n",
       "      <td>80.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4238</th>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>25.60</td>\n",
       "      <td>67.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4239</th>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>20.91</td>\n",
       "      <td>85.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4240 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      sex  age  currentSmoker  cigsPerDay  BPMeds  prevalentStroke  \\\n",
       "0       1   39              0         0.0     0.0                0   \n",
       "1       0   46              0         0.0     0.0                0   \n",
       "2       1   48              1        20.0     0.0                0   \n",
       "3       0   61              1        30.0     0.0                0   \n",
       "4       0   46              1        23.0     0.0                0   \n",
       "...   ...  ...            ...         ...     ...              ...   \n",
       "4235    0   48              1        20.0     0.0                0   \n",
       "4236    0   44              1        15.0     0.0                0   \n",
       "4237    0   52              0         0.0     0.0                0   \n",
       "4238    1   40              0         0.0     0.0                0   \n",
       "4239    0   39              1        30.0     0.0                0   \n",
       "\n",
       "      prevalentHyp  diabetes  totChol  sysBP  diaBP    BMI  heartRate  \\\n",
       "0                0         0    195.0  106.0   70.0  26.97       80.0   \n",
       "1                0         0    250.0  121.0   81.0  28.73       95.0   \n",
       "2                0         0    245.0  127.5   80.0  25.34       75.0   \n",
       "3                1         0    225.0  150.0   95.0  28.58       65.0   \n",
       "4                0         0    285.0  130.0   84.0  23.10       85.0   \n",
       "...            ...       ...      ...    ...    ...    ...        ...   \n",
       "4235             0         0    248.0  131.0   72.0  22.00       84.0   \n",
       "4236             0         0    210.0  126.5   87.0  19.16       86.0   \n",
       "4237             0         0    269.0  133.5   83.0  21.47       80.0   \n",
       "4238             1         0    185.0  141.0   98.0  25.60       67.0   \n",
       "4239             0         0    196.0  133.0   86.0  20.91       85.0   \n",
       "\n",
       "      glucose  TenYearCHD  \n",
       "0        77.0           0  \n",
       "1        76.0           0  \n",
       "2        70.0           0  \n",
       "3       103.0           1  \n",
       "4        85.0           0  \n",
       "...       ...         ...  \n",
       "4235     86.0           0  \n",
       "4236     78.0           0  \n",
       "4237    107.0           0  \n",
       "4238     72.0           0  \n",
       "4239     80.0           0  \n",
       "\n",
       "[4240 rows x 15 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b93ea663-2afa-4a5e-9c94-991d165b4ae8",
   "metadata": {},
   "source": [
    "# Feature Scaling \n",
    "Since we want to try out different models, and also these that use distance as a measure, we will scale our features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6b5a60ac-8a40-4cb8-8b11-4e32aa42d33e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler(feature_range=(0,1)) \n",
    "\n",
    "#assign scaler to column:\n",
    "df = pd.DataFrame(scaler.fit_transform(df), columns = df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d4f56767-e9c6-46e8-b781-1c3cb9161f47",
   "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>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>currentSmoker</th>\n",
       "      <th>cigsPerDay</th>\n",
       "      <th>BPMeds</th>\n",
       "      <th>prevalentStroke</th>\n",
       "      <th>prevalentHyp</th>\n",
       "      <th>diabetes</th>\n",
       "      <th>totChol</th>\n",
       "      <th>sysBP</th>\n",
       "      <th>diaBP</th>\n",
       "      <th>BMI</th>\n",
       "      <th>heartRate</th>\n",
       "      <th>glucose</th>\n",
       "      <th>TenYearCHD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "      <td>4240.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.429245</td>\n",
       "      <td>0.462637</td>\n",
       "      <td>0.494104</td>\n",
       "      <td>0.127776</td>\n",
       "      <td>0.029245</td>\n",
       "      <td>0.005896</td>\n",
       "      <td>0.310613</td>\n",
       "      <td>0.025708</td>\n",
       "      <td>0.220149</td>\n",
       "      <td>0.230991</td>\n",
       "      <td>0.369288</td>\n",
       "      <td>0.248643</td>\n",
       "      <td>0.322008</td>\n",
       "      <td>0.117517</td>\n",
       "      <td>0.151887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.495027</td>\n",
       "      <td>0.225604</td>\n",
       "      <td>0.500024</td>\n",
       "      <td>0.170068</td>\n",
       "      <td>0.168513</td>\n",
       "      <td>0.076569</td>\n",
       "      <td>0.462799</td>\n",
       "      <td>0.158280</td>\n",
       "      <td>0.075261</td>\n",
       "      <td>0.104176</td>\n",
       "      <td>0.126036</td>\n",
       "      <td>0.098662</td>\n",
       "      <td>0.121454</td>\n",
       "      <td>0.064577</td>\n",
       "      <td>0.358953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.263158</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.168081</td>\n",
       "      <td>0.158392</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.182683</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>0.090395</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.447368</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.215620</td>\n",
       "      <td>0.210402</td>\n",
       "      <td>0.359788</td>\n",
       "      <td>0.238972</td>\n",
       "      <td>0.313131</td>\n",
       "      <td>0.107345</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.631579</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.263158</td>\n",
       "      <td>0.286052</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>0.302775</td>\n",
       "      <td>0.393939</td>\n",
       "      <td>0.127119</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               sex          age  currentSmoker   cigsPerDay       BPMeds  \\\n",
       "count  4240.000000  4240.000000    4240.000000  4240.000000  4240.000000   \n",
       "mean      0.429245     0.462637       0.494104     0.127776     0.029245   \n",
       "std       0.495027     0.225604       0.500024     0.170068     0.168513   \n",
       "min       0.000000     0.000000       0.000000     0.000000     0.000000   \n",
       "25%       0.000000     0.263158       0.000000     0.000000     0.000000   \n",
       "50%       0.000000     0.447368       0.000000     0.000000     0.000000   \n",
       "75%       1.000000     0.631579       1.000000     0.285714     0.000000   \n",
       "max       1.000000     1.000000       1.000000     1.000000     1.000000   \n",
       "\n",
       "       prevalentStroke  prevalentHyp     diabetes      totChol        sysBP  \\\n",
       "count      4240.000000   4240.000000  4240.000000  4240.000000  4240.000000   \n",
       "mean          0.005896      0.310613     0.025708     0.220149     0.230991   \n",
       "std           0.076569      0.462799     0.158280     0.075261     0.104176   \n",
       "min           0.000000      0.000000     0.000000     0.000000     0.000000   \n",
       "25%           0.000000      0.000000     0.000000     0.168081     0.158392   \n",
       "50%           0.000000      0.000000     0.000000     0.215620     0.210402   \n",
       "75%           0.000000      1.000000     0.000000     0.263158     0.286052   \n",
       "max           1.000000      1.000000     1.000000     1.000000     1.000000   \n",
       "\n",
       "             diaBP          BMI    heartRate      glucose   TenYearCHD  \n",
       "count  4240.000000  4240.000000  4240.000000  4240.000000  4240.000000  \n",
       "mean      0.369288     0.248643     0.322008     0.117517     0.151887  \n",
       "std       0.126036     0.098662     0.121454     0.064577     0.358953  \n",
       "min       0.000000     0.000000     0.000000     0.000000     0.000000  \n",
       "25%       0.285714     0.182683     0.242424     0.090395     0.000000  \n",
       "50%       0.359788     0.238972     0.313131     0.107345     0.000000  \n",
       "75%       0.444444     0.302775     0.393939     0.127119     0.000000  \n",
       "max       1.000000     1.000000     1.000000     1.000000     1.000000  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0450f71-cf3c-44db-b1be-dafe7538aec5",
   "metadata": {},
   "source": [
    "# Resampling imbalanced Dataset\n",
    "Checking balance of outcome variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ae379bcd-dd75-438b-a9ea-28f4aa59ff81",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Class 0: 3596\n",
      "Class 1: 644\n",
      "Proportion: 5.58 : 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ahmed\\AppData\\Local\\Temp\\ipykernel_8532\\2008571184.py:6: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
      "  sns.histplot(df.TenYearCHD, palette=\"OrRd\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "target_count = df.TenYearCHD.value_counts()\n",
    "print('Class 0:', target_count[0])\n",
    "print('Class 1:', target_count[1])\n",
    "print('Proportion:', round(target_count[0] / target_count[1], 2), ': 1')\n",
    "\n",
    "sns.histplot(df.TenYearCHD, palette=\"OrRd\")\n",
    "plt.box(False)\n",
    "plt.xlabel('Heart Disease No/Yes',fontsize=11)\n",
    "plt.ylabel('Patient Count',fontsize=11)\n",
    "plt.title('Count Outcome Heart Disease\\n')\n",
    "plt.savefig('Balance Heart Disease.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "680bbc9b-393d-43b0-857e-e670c989f5c2",
   "metadata": {},
   "source": [
    "## Getting Features and Target Data ready for Use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d2827a46-19f9-47e6-b701-2800894c9dbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((4240, 14), (4240,))"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = df.drop(\"TenYearCHD\", axis=1) # Feature data (Independant Dataset)\n",
    "y=df[\"TenYearCHD\"] # Target Data (Dependant Dataset)\n",
    "# Shape Function show the number of rows and number of features so sahpe x is 4240 row for each the 14 feature and y is just the target which is one column with 4240 row\n",
    "X.shape, y.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "770959f8-4616-4931-b3c6-b0d4d608993f",
   "metadata": {},
   "source": [
    "## Modeling"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e267b11-48fd-4296-8dc9-aa78c95b618a",
   "metadata": {},
   "source": [
    "Splitting X and Y Data in Train and Test Data,\n",
    "Then Fitting the train data to the model.\n",
    "And Checking the score for the Created Model.\n",
    "    \n",
    "model_dict = Model Dictionery (Dictionery of Model we have selected)\n",
    "X = Feature Labels\n",
    "y = Target Data\n",
    "test_size = Test Split Size to split data in Test and Train sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e3f04f03-0f9a-4f27-b238-e6cbd174ebb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "model_dict = {\"Logistic_Regression\" : LogisticRegression(),\n",
    "              \"Decision_Tree\" : DecisionTreeClassifier(),\n",
    "              \"Gradient_Boosting\" : GradientBoostingClassifier(),\n",
    "              \"Random_Forest\" : RandomForestClassifier(),\n",
    "             \"KNN_Classifier\" : KNeighborsClassifier(),\n",
    "             \"SVC\" : SVC()}\n",
    "\n",
    "def model_fit_and_score(model_dict, X, y, test_size=0.10):\n",
    "    \n",
    "    model_score={} # Dictionary to append Scores of fitted model\n",
    "    \n",
    "    np.random.seed(41) # To get same values every time\n",
    "    # Splitting Data in Train and Test Splits\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=test_size)\n",
    "    \n",
    "    for name, model in model_dict.items():\n",
    "        # Fit Model\n",
    "        model.fit(X_train, y_train)\n",
    "        model_score[name] = model.score(X_test, y_test)\n",
    "    scores = pd.DataFrame(model_score, index=[\"Score\"])\n",
    "    scores.T.plot(kind=\"bar\")\n",
    "    plt.title(\"Scores of these Models\")\n",
    "    plt.xticks(rotation=0)\n",
    "    plt.xlabel(\"Model Name\")\n",
    "    plt.ylabel(\"Score of Model\")\n",
    "    return scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9ee99560-8e33-430b-bc2e-61ea0659fe3a",
   "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>Logistic_Regression</th>\n",
       "      <th>Decision_Tree</th>\n",
       "      <th>Gradient_Boosting</th>\n",
       "      <th>Random_Forest</th>\n",
       "      <th>KNN_Classifier</th>\n",
       "      <th>SVC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Score</th>\n",
       "      <td>0.851415</td>\n",
       "      <td>0.764151</td>\n",
       "      <td>0.837264</td>\n",
       "      <td>0.841981</td>\n",
       "      <td>0.834906</td>\n",
       "      <td>0.841981</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Logistic_Regression  Decision_Tree  Gradient_Boosting  Random_Forest  \\\n",
       "Score             0.851415       0.764151           0.837264       0.841981   \n",
       "\n",
       "       KNN_Classifier       SVC  \n",
       "Score        0.834906  0.841981  "
      ]
     },
     "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": [
    "model_fit_and_score(model_dict, X, y, test_size=0.10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e447e7f5-fe5a-45fd-9b14-7738fec903dd",
   "metadata": {},
   "source": [
    "## Cross Validation for Models in Model Dictionary\n",
    "### Providing Mean value of cross validation for each Parameter\n",
    "    \n",
    "Parameter Includes : accuracy, precision, recall, f1_micro, f1_macro\n",
    "    \n",
    "model_dict : Model Dictionery with/without parameter tuning\n",
    "    X : Feature Data\n",
    "    y : Target Data\n",
    "    cv : Cross Validation folds (Default = 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d6453a1a-fe1b-4899-b71f-0d08a35354af",
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_cross_val_score(model_dict, X, y, cv=5):\n",
    "    warnings.filterwarnings(\"ignore\")\n",
    "    \n",
    "    scoring_param = [\"accuracy\", \"precision\", \"recall\", \"f1_micro\", \"f1_macro\"]\n",
    "    \n",
    "    cv_score = {} # To append Scores of each Model\n",
    "     \n",
    "    \n",
    "    np.random.seed(42)\n",
    "    for name, model in model_dict.items():\n",
    "        cv_score[name] = {}\n",
    "        for param in scoring_param:\n",
    "            # Calculating Mean values for cross validation with each Parameter\n",
    "            score = np.mean(cross_val_score(model, X, y, scoring=param, cv=cv))\n",
    "            cv_score[name][param] = score \n",
    "    cv = pd.DataFrame(data=cv_score)\n",
    "    return cv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "573eee27-ae7d-47ec-9dcc-f3b8a4e6481b",
   "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>Logistic_Regression</th>\n",
       "      <th>Decision_Tree</th>\n",
       "      <th>Gradient_Boosting</th>\n",
       "      <th>Random_Forest</th>\n",
       "      <th>KNN_Classifier</th>\n",
       "      <th>SVC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>accuracy</th>\n",
       "      <td>0.853538</td>\n",
       "      <td>0.756132</td>\n",
       "      <td>0.850708</td>\n",
       "      <td>0.850708</td>\n",
       "      <td>0.835613</td>\n",
       "      <td>0.847170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>precision</th>\n",
       "      <td>0.723184</td>\n",
       "      <td>0.237028</td>\n",
       "      <td>0.543959</td>\n",
       "      <td>0.563462</td>\n",
       "      <td>0.364162</td>\n",
       "      <td>0.246667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>recall</th>\n",
       "      <td>0.063675</td>\n",
       "      <td>0.267139</td>\n",
       "      <td>0.085380</td>\n",
       "      <td>0.058963</td>\n",
       "      <td>0.113324</td>\n",
       "      <td>0.007752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1_micro</th>\n",
       "      <td>0.853538</td>\n",
       "      <td>0.758019</td>\n",
       "      <td>0.849764</td>\n",
       "      <td>0.845755</td>\n",
       "      <td>0.835613</td>\n",
       "      <td>0.847170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1_macro</th>\n",
       "      <td>0.518371</td>\n",
       "      <td>0.551712</td>\n",
       "      <td>0.532291</td>\n",
       "      <td>0.511493</td>\n",
       "      <td>0.540262</td>\n",
       "      <td>0.466086</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Logistic_Regression  Decision_Tree  Gradient_Boosting  \\\n",
       "accuracy              0.853538       0.756132           0.850708   \n",
       "precision             0.723184       0.237028           0.543959   \n",
       "recall                0.063675       0.267139           0.085380   \n",
       "f1_micro              0.853538       0.758019           0.849764   \n",
       "f1_macro              0.518371       0.551712           0.532291   \n",
       "\n",
       "           Random_Forest  KNN_Classifier       SVC  \n",
       "accuracy        0.850708        0.835613  0.847170  \n",
       "precision       0.563462        0.364162  0.246667  \n",
       "recall          0.058963        0.113324  0.007752  \n",
       "f1_micro        0.845755        0.835613  0.847170  \n",
       "f1_macro        0.511493        0.540262  0.466086  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_cross_val_score(model_dict, X, y, cv=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "40769328-3bb0-4f01-bb7c-6ffb0e9892e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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QoIDh4OBgVKtWzdi9e/dDp4X/8MMPho+Pj5EtW7aHLhj4MA9eJzIy0vDy8jIqVapkxMbGWrTr16+fYWNjY+zevfuxz5Bc4eHhxoQJE4waNWoYBQoUMLJly2bkzp3beO2114zvv//+kefNnDnTAIyXX375sde/ffu28dlnnxlVqlQxcubMadjZ2RklSpQw3nnnHeP06dNp8gwiT2IyjBRU74mIiIhkIqrRERERkSxLiY6IiIhkWUp0REREJMtSoiMiIiJZlhIdERERybKU6IiIiEiWpQUDJd0kJCRw8eJFnJ2d03TpfBGRzMQwDG7duoWnpyc2Ns+u/+Hu3bvExMSk+nw7Ozty5MiRhhE9H0p0JN1cvHiRQoUKpXcYIiIZwvnz5ylYsOAzufbdu3dxcM4DcbdTfQ0PDw/Onj2b6ZIdJTqSbpydnQGw8wnEZGuXztGItQoN0msIJH3dioykeNFC5r8Tn4WYmBiIu419ma6Qmr9v42MI+2s+MTExyUp0Zs+ezezZszl37hwAZcqUYfjw4TRs2BCAmjVrsnXrVotz3nrrLebMmWP+HBoaSq9evfjtt9/ImTMngYGBjB8/nmzZUpa6KNGRdJM4XGWytVOiI+nGxcUlvUMQAXg+Q/jZ7DDZ2qf4NCOFoRUsWJAJEyZQokQJDMNg4cKFNG/enD///JMyZcoA0LNnT0aPHm0+x9HR0fzn+Ph4GjdujIeHB7t27eLSpUt07tyZ7NmzM27cuBTFokRHRERE0lTTpk0tPo8dO5bZs2fz+++/mxMdR0dHPDw8Hnr+r7/+yrFjx9i0aRPu7u5UqFCBMWPGMHjwYEaOHImdXfL/caxZVyIiItbCZJP6DYiMjLTY7t2798RbxsfHs2zZMqKjo/Hz8zPvX7JkCXnz5qVs2bIMGTKE27f/Vz+0e/dufH19cXd3N++rX78+kZGR/PXXXyl6ZPXoiIiIWAuT6f6WmvMgyQSSESNGMHLkyIeecuTIEfz8/Lh79y45c+Zk9erV+Pj4ANCxY0e8vLzw9PTk8OHDDB48mBMnTrBq1SoAwsLCLJIcwPw5LCwsRaEr0REREbEWD/TOpPg87s8Me7Cuzd7+0fU+JUuW5ODBg9y8eZPvv/+ewMBAtm7dio+PD2+++aa5na+vLwUKFKB27dqEhITw4osvpjy+x9DQlYiIiLVI7NFJzcb94v0Ht8clOnZ2dhQvXpzKlSszfvx4ypcvz7Rp0x7atmrVqgCcPn0auD+VPTw83KJN4udH1fU8ihIdEREReeYSEhIeWdNz8OBBAAoUKACAn58fR44cISIiwtxm48aNuLi4mIe/kktDVyIiIlYjlUNXKewXGTJkCA0bNqRw4cLcunWLpUuXEhQUxIYNGwgJCWHp0qU0atSIPHnycPjwYfr164e/vz/lypUDoF69evj4+NCpUycmTpxIWFgYQ4cOpXfv3o/tRXoYJToiIiLW4imLkZMrIiKCzp07c+nSJVxdXSlXrhwbNmygbt26nD9/nk2bNjF16lSio6MpVKgQrVu3ZujQoebzbW1tWbt2Lb169cLPzw8nJycCAwMt1t1JLiU6IiIi1uIpi5GT66uvvnrksUKFCiVZFflhvLy8+OWXX1J034dRoiMiImItnlOPTkaiYmQRERHJstSjIyIiYi2e09BVRqJER0RExFpY4dCVEh0RERFroR4dERERybJMplQmOpm3RyfzpmgiIiIiT6AeHREREWthY7q/pea8TEqJjoiIiLVQjY6IiIhkWZp1JSIiIlmWFfboZN7IRURERJ5APToiIiLWQkNXIiIikmVZ4dCVEh0RERFroR4dERERybKssEcn80YuIiIi8gTq0REREbEWGroSERGRrCuVQ1eZeABIiY6IiIi1sMIencyboomIiIg8gXp0RERErIXJlMpZV5m3R0eJjoiIiLWwwunlSnRERESshRXW6CjRERERsRZW2KOTeSMXEREReQL16IiIiFgLDV2JiIhIlmWFQ1dKdERERKyFenREREQkqzKZTJisLNHJvH1RIiIiIk+gHh0RERErYY09Okp0RERErIXp/7fUnJdJKdERERGxEurRERERkSzLGhMdFSOLiIhImpo9ezblypXDxcUFFxcX/Pz8WLdunfn43bt36d27N3ny5CFnzpy0bt2a8PBwi2uEhobSuHFjHB0dyZ8/P4MGDSIuLi7FsSjRERERsRKJPTqp2VKiYMGCTJgwgQMHDrB//35ee+01mjdvzl9//QVAv379+Omnn/juu+/YunUrFy9epFWrVubz4+Pjady4MTExMezatYuFCxeyYMEChg8fnvJnNgzDSPFZImkgMjISV1dX7H17YrK1S+9wxEpd3/d5eocgVi4yMhL3PK7cvHkTFxeXZ3YPV1dXnFvPxZTdIcXnG7F3uLXyraeK0c3NjU8//ZQ2bdqQL18+li5dSps2bQA4fvw4pUuXZvfu3bzyyiusW7eOJk2acPHiRdzd3QGYM2cOgwcP5vLly9jZJf93hnp0RERErIXpKTbuJ0wPbvfu3XviLePj41m2bBnR0dH4+flx4MABYmNjqVOnjrlNqVKlKFy4MLt37wZg9+7d+Pr6mpMcgPr16xMZGWnuFUouJToiIiJW4mmHrgoVKoSrq6t5Gz9+/CPvdeTIEXLmzIm9vT1vv/02q1evxsfHh7CwMOzs7MiVK5dFe3d3d8LCwgAICwuzSHISjyceSwnNuhIREZFkOX/+vMXQlb29/SPblixZkoMHD3Lz5k2+//57AgMD2bp16/MI04ISHREREStx/52eqZlefv9/EmdRJYednR3FixcHoHLlyuzbt49p06bRrl07YmJiuHHjhkWvTnh4OB4eHgB4eHiwd+9ei+slzspKbJNcGroSERGxEiZSOXSVBksjJyQkcO/ePSpXrkz27NnZvHmz+diJEycIDQ3Fz88PAD8/P44cOUJERIS5zcaNG3FxccHHxydF91WPjoiIiJV4XgsGDhkyhIYNG1K4cGFu3brF0qVLCQoKYsOGDbi6utK9e3f69++Pm5sbLi4uvPPOO/j5+fHKK68AUK9ePXx8fOjUqRMTJ04kLCyMoUOH0rt378cOlz2MEh0RERFr8ZzedRUREUHnzp25dOkSrq6ulCtXjg0bNlC3bl0ApkyZgo2NDa1bt+bevXvUr1+fWbNmmc+3tbVl7dq19OrVCz8/P5ycnAgMDGT06NEpD13r6Eh60To6khFoHR1Jb89zHZ3c7edhsnNM8flGzG2uL+vxTGN8VtSjIyIiYi1SOXRlZOJ3XSnRERERsRKprdFJVV1PBqFER0RExEpYY6Kj6eUiIiKSZalHR0RExFo8p1lXGYkSHRERESthjUNXSnRERESshBIdERERybKsMdFRMbKIiIhkWerRERERsRLW2KOjREdERMRaaNaViIiIZFXq0REREZEsyxoTHRUji2QwPV9/lb3LhxC+/VPCt39K0MIB1KvmYz6+4ct3ufPn5xbb9I/aJ7nOG02rsnf5EK7/PoW/N49nygdtn+djiJWYM2smJYsXIVfOHFT/T1X27d2b3iGJWFCPjkgG80/4DYbN+IHToZcxYeKNplX5bsqbvNJ+AsFnwgD4auVOxsxeaz7n9t1Yi2v0feM13u30Gh9OWcPeo+dwcrDDyzPPc30Oyfq+W7GcwYP6M2PmHKq8XJXPp0+lWeP6HPrrBPnz50/v8OQhrLFHR4mOSAbzy7ajFp9HzvyJnq+/ysvlipoTnTt3Ywi/euuh5+dydmDEf5vQ+r05BO09ad5/9NTFZxe0WKXpUyfTtXtPOnfpCsCMWXNYt+5nFi74mkHvf5DO0clDWWExsoauRDIwGxsTr9evjJODHXsOnzXvb9foJc5vmcD+7z5k9DvNcMiR3Xys9iulsLEx4Zk/F3+uHMrp9WP45pNuFHTPlQ5PIFlVTEwMf/5xgNdq1zHvs7Gx4bXX6rD3993pGJk8TmKPTmq2zEo9OplMly5duHHjBmvWrEnvUOQZKlPck6CFA8hhl42oO/doN+BLjv9/b87ydfsJvXSNS5dv4lvCk4/fbY63V37aD5wHQNGCebGxMfF+t3oM/HQlkVF3GNG7CWtn96FK2/HExsWn56NJFnHlyhXi4+PJn9/dYn9+d3dOnDieTlHJk1jj0FW69uh06dIFk8nEhAkTLPavWbPmqX+oCxYsIFeuXA89ZjKZnkuiEBQUhMlk4saNG8lqZzKZsLGxwdXVlYoVK/L+++9z6dIli7bTpk1jwYIFzy5oyRBOngunavvx+Hf+jC+/28GXoztRqpgHAF+v2smm3cH8dfoiy9btp/uwxTSvXYGiBfMC97/fdtmzMWDi92zaHczeI+cIHLKA4oXzU6OKd3o+lojIc5fuQ1c5cuTgk08+4fr16+kdSpqKjY19cqN/OXHiBBcvXmTfvn0MHjyYTZs2UbZsWY4cOWJu4+rq+sgETrKO2Lh4zpy/wp/B5xk+40eOnPyH3h1qPrTtviPnAHixUD4Awq5EAph7gACuXI/iyo0oCnnkfqZxi/XImzcvtra2RESEW+yPCA/Hw8MjnaKSJzGRyqGrTFykk+6JTp06dfDw8GD8+PGPbbdy5UrKlCmDvb09RYoUYdKkSWkWw/nz52nbti25cuXCzc2N5s2bc+7cOfPxffv2UbduXfLmzYurqys1atTgjz/+sLiGyWRi9uzZNGvWDCcnJ3r27EmtWrUAyJ07NyaTiS5dujw2jvz58+Ph4YG3tzft27dn586d5MuXj169epnbdOnShRYtWpg/f//99/j6+uLg4ECePHmoU6cO0dHR5uPz5s2jdOnS5MiRg1KlSjFr1iyLew4ePBhvb28cHR0pVqwYw4YNs0jSDh06RK1atXB2dsbFxYXKlSuzf/9+8/EdO3ZQvXp1HBwcKFSoEH379rW4v6QNG5MJe7uHjzSXL1kQgLArNwHYffAMACWK/G/WS24XR/LmyknopWvPOFKxFnZ2dlSsVJnftmw270tISOC33zbz8it+6RiZPI411uike6Jja2vLuHHjmDFjBhcuXHhomwMHDtC2bVvat2/PkSNHGDlyJMOGDUuTIZzY2Fjq16+Ps7Mz27dvZ+fOneTMmZMGDRoQExMDwK1btwgMDGTHjh38/vvvlChRgkaNGnHrluWsl5EjR9KyZUuOHDnCqFGjWLlyJXC/p+bSpUtMmzYtRbE5ODjw9ttvs3PnTiIiIpIcv3TpEh06dKBbt24EBwcTFBREq1atMAwDgCVLljB8+HDGjh1LcHAw48aNY9iwYSxcuNB8DWdnZxYsWMCxY8eYNm0aX375JVOmTDEfDwgIoGDBguzbt48DBw7wwQcfkD37/cLXkJAQGjRoQOvWrTl8+DDLly9nx44d9OnT56HPc+/ePSIjIy02SWr0O82oVulFChdwo0xxT0a/0wz/l0qw7Jf9FC2Ylw96NqBi6UIULuBG4xq+zBvTie0HTplnVZ0OjeCn3w7x2aA2vFK+KD4vFuDL0Z04cS6crftPPuHuIsnX973+zP/qS75ZtJDjwcH07d2L29HRdA7smt6hyaOYnmLLpDJEMXLLli2pUKECI0aM4KuvvkpyfPLkydSuXZthw4YB4O3tzbFjx/j0008f20ty8+ZNcubM+dh7L1++nISEBObNm2fOWOfPn0+uXLkICgqiXr16vPbaaxbnfPHFF+TKlYutW7fSpEkT8/6OHTvStev//g9+9uz9WTL58+dP9XBTqVKlADh37lySdSkuXbpEXFwcrVq1wsvLCwBfX1/z8REjRjBp0iRatWoFQNGiRTl27Bhz584lMDAQgKFDh5rbFylShIEDB7Js2TLef/99AEJDQxk0aJA5jhIlSpjbjx8/noCAAN577z3zsenTp1OjRg1mz55Njhw5LOIdP348o0aNStXPwZrkc8vJV2M645HXhZtRdzl66h+a/ncWW/Ycp6B7Ll6rWpI+HWvh5GDHhfDrrNl8kAnzNlhco/uwxUwc2IpV03uRkGCw48ApmveeSVxcQjo9lWRFr7dtx5XLlxk9ajjhYWGUK1+BH9aux93d/cknS7qwxmLkDJHoAHzyySe89tprDBw4MMmx4OBgmjdvbrGvWrVqTJ06lfj4eGxtbR96TWdn5yRDTGD5y/rQoUOcPn0aZ2dnizZ3794lJCQEgPDwcIYOHUpQUBARERHEx8dz+/ZtQkNDLc556aWXkvewKZDYO/OwL1n58uWpXbs2vr6+1K9fn3r16tGmTRty585NdHQ0ISEhdO/enZ49e5rPiYuLw9XV1fx5+fLlTJ8+nZCQEKKiooiLi8PFxcV8vH///vTo0YPFixdTp04dXn/9dV588UXg/s/u8OHDLFmyxCLehIQEzp49S+nSpS3iHTJkCP379zd/joyMpFChQk/5E8p6eo1a+shjF8JvUK/Hk3sGb0XfpdeopY+9lkha6NW7D716P7wXVyQjyDCJjr+/P/Xr12fIkCFPrGVJLhsbG4oXL/7YNlFRUVSuXNnil3WifPnuF3cGBgZy9epVpk2bhpeXF/b29vj5+ZmHthI5OTmlSdwPCg4OBu73tvybra0tGzduZNeuXfz666/MmDGDjz76iD179uDo6AjAl19+SdWqVZOcB7B7924CAgIYNWoU9evXx9XVlWXLllnUP40cOZKOHTvy888/s27dOkaMGMGyZcto2bIlUVFRvPXWW/Tt2zdJbIULF06yz97eHnt7+1T/LERE5OmoRyedTZgwgQoVKlCyZEmL/aVLl2bnzp0W+3bu3Im3t/cje3OSq1KlSixfvpz8+fNb9GT8+16zZs2iUaNGwP3i5StXrjzx2nZ2dgDEx6du3ZI7d+7wxRdf4O/vb066/s1kMlGtWjWqVavG8OHD8fLyYvXq1fTv3x9PT0/OnDlDQEDAQ8/dtWsXXl5efPTRR+Z9f//9d5J23t7eeHt7069fPzp06MD8+fNp2bIllSpV4tixY09MJkVEJGMwme5vqTkvs0r3YuQH+fr6EhAQwPTp0y32DxgwgM2bNzNmzBhOnjzJwoUL+fzzzx86zJVSAQEB5M2bl+bNm7N9+3bOnj1LUFAQffv2NRdHlyhRgsWLFxMcHMyePXsICAjAwcHhidf28vLCZDKxdu1aLl++TFRU1GPbR0REEBYWxqlTp1i2bBnVqlXjypUrzJ49+6Ht9+zZw7hx49i/fz+hoaGsWrWKy5cvm4eMRo0axfjx45k+fTonT57kyJEjzJ8/n8mTJ5ufKzQ0lGXLlhESEsL06dNZvXq1+fp37tyhT58+BAUF8ffff7Nz50727dtnvv7gwYPZtWsXffr04eDBg5w6dYoffvjhkcXIIiKSvu4nOqmZdZXekadehkp0AEaPHk1CgmXBZKVKlVixYgXLli2jbNmyDB8+nNGjR6fJEJejoyPbtm2jcOHCtGrVitKlS9O9e3fu3r1r7uH56quvuH79OpUqVaJTp0707ds3WS+se+GFFxg1ahQffPAB7u7uT0wASpYsiaenJ5UrV2bChAnUqVOHo0eP4uPj89D2Li4ubNu2jUaNGuHt7c3QoUOZNGkSDRs2BKBHjx7MmzeP+fPn4+vrS40aNViwYAFFixYFoFmzZvTr148+ffpQoUIFdu3aZS74hvtDXFevXqVz5854e3vTtm1bGjZsaC4oLleuHFu3buXkyZNUr16dihUrMnz4cDw9PZ/8gxcRkefP9L9enZRsmXnWlclIrHYVec4iIyNxdXXF3rcnJlu79A5HrNT1fZ+ndwhi5SIjI3HP48rNmzcfWUKRFvdwdXWlWN/vsbVPeT1p/L1ozkxv80xjfFYyVI2OiIiIPDsqRhYREZEsyxqLkZXoiIiIWAkbGxM2NinPWoxUnJNRZLhiZBEREZG0oh4dERERK2GNQ1fq0REREbESz+vt5ePHj6dKlSo4OzuTP39+WrRowYkTJyza1KxZM8k93n77bYs2oaGhNG7cGEdHR/Lnz8+gQYOIi4tLUSzq0REREbESz6tHZ+vWrfTu3ZsqVaoQFxfHhx9+SL169Th27JjF65J69uzJ6NGjzZ8TX18E998q0LhxYzw8PNi1axeXLl2ic+fOZM+enXHjxiU7FiU6IiIiVuJ5TS9fv369xecFCxaQP39+Dhw4gL+/v3m/o6MjHh4eD73Gr7/+yrFjx9i0aRPu7u5UqFCBMWPGMHjwYEaOHGl+zdKTaOhKREREkiUyMtJiu3fvXrLOu3nzJgBubm4W+5csWULevHkpW7YsQ4YM4fbt2+Zju3fvxtfXF3d3d/O++vXrExkZyV9//ZXsmNWjIyIiYiWetkenUKFCFvtHjBjByJEjH3tuQkIC7733HtWqVaNs2bLm/R07dsTLywtPT08OHz7M4MGDOXHiBKtWrQIgLCzMIskBzJ/DwsKSHbsSHRERESvxtDU658+ft3gFhL29/RPP7d27N0ePHmXHjh0W+998803zn319fSlQoAC1a9cmJCSEF198MeVBPoKGrkRERKyEiVTOuvr/t3q6uLhYbE9KdPr06cPatWv57bffKFiw4GPbVq1aFYDTp08D4OHhQXh4uEWbxM+Pqut5GCU6IiIiViI1by5PTS+QYRj06dOH1atXs2XLFooWLfrEcw4ePAhAgQIFAPDz8+PIkSNERESY22zcuBEXFxd8fHySHYuGrkRERCRN9e7dm6VLl/LDDz/g7OxsrqlxdXXFwcGBkJAQli5dSqNGjciTJw+HDx+mX79++Pv7U65cOQDq1auHj48PnTp1YuLEiYSFhTF06FB69+6drCGzROrRERERsRLPa8HA2bNnc/PmTWrWrEmBAgXM2/LlywGws7Nj06ZN1KtXj1KlSjFgwABat27NTz/9ZL6Gra0ta9euxdbWFj8/P9544w06d+5sse5OcqhHR0RExEo8rwUDDcN47PFChQqxdevWJ17Hy8uLX375JWU3/xclOiIiIlbieS0YmJEo0REREbESeqmniIiISBaiHh0REREroaErERERybpSOXRF5s1zlOiIiIhYC/XoiIiISJalYmQRERGRLEQ9OiIiIlZCQ1ciIiKSZVnj0JUSHRERESuhHh0RERHJsqwx0VExsoiIiGRZ6tERERGxEqrRERERkSzLGoeulOiIiIhYCfXoiIiISJZljT06KkYWERGRLEs9OiIiIlbCRCqHrtI8kudHiY6IiIiVsDGZsElFppOaczIKJToiIiJWwhqLkVWjIyIiIlmWenRERESshDXOulKiIyIiYiVsTPe31JyXWSnRERERsRamVPbOKNERERGRjM4ai5GTlej8+OOPyb5gs2bNUh2MiIiISFpKVqLTokWLZF3MZDIRHx//NPGIiIjIM2L6//9Sc15mlaxEJyEh4VnHISIiIs+YipFT6O7du+TIkSOtYhEREZFnyBqnl6d4wcD4+HjGjBnDCy+8QM6cOTlz5gwAw4YN46uvvkrzAEVERCRtJBYjp2bLrFKc6IwdO5YFCxYwceJE7OzszPvLli3LvHnz0jQ4ERERkaeR4kRn0aJFfPHFFwQEBGBra2veX758eY4fP56mwYmIiEjaSXypZ2q2zCrFNTr//PMPxYsXT7I/ISGB2NjYNAlKRERE0p41rqOT4h4dHx8ftm/fnmT/999/T8WKFdMkKBEREUl7icXIqdlSYvz48VSpUgVnZ2fy589PixYtOHHihEWbu3fv0rt3b/LkyUPOnDlp3bo14eHhFm1CQ0Np3Lgxjo6O5M+fn0GDBhEXF5eiWFLcozN8+HACAwP5559/SEhIYNWqVZw4cYJFixaxdu3alF5OREREnpPn1aOzdetWevfuTZUqVYiLi+PDDz+kXr16HDt2DCcnJwD69evHzz//zHfffYerqyt9+vShVatW7Ny5E7g/+alx48Z4eHiwa9cuLl26ROfOncmePTvjxo1LfuyGYRgpCx+2b9/O6NGjOXToEFFRUVSqVInhw4dTr169lF5KrFhkZCSurq7Y+/bEZGv35BNEnoHr+z5P7xDEykVGRuKex5WbN2/i4uLyzO7h6upK81lbye6QM8Xnx96J4of/1kh1jJcvXyZ//vxs3boVf39/bt68Sb58+Vi6dClt2rQB4Pjx45QuXZrdu3fzyiuvsG7dOpo0acLFixdxd3cHYM6cOQwePJjLly9bTIh6nFSto1O9enU2btyYmlNFREQknaS2sDjxnMjISIv99vb22NvbP/H8mzdvAuDm5gbAgQMHiI2NpU6dOuY2pUqVonDhwuZEZ/fu3fj6+pqTHID69evTq1cv/vrrr2SXy6R6wcD9+/cTHBwM3K/bqVy5cmovJSIiIs+BidS9iDzxnEKFClnsHzFiBCNHjnzsuQkJCbz33ntUq1aNsmXLAhAWFoadnR25cuWyaOvu7k5YWJi5zYNJTuLxxGPJleJE58KFC3To0IGdO3eaA7xx4wb/+c9/WLZsGQULFkzpJUVEROQ5eNqVkc+fP28xdJWc3pzevXtz9OhRduzYkeL7poUUz7rq0aMHsbGxBAcHc+3aNa5du0ZwcDAJCQn06NHjWcQoIiIiaSDxXVep2QBcXFwsticlOn369GHt2rX89ttvFh0hHh4exMTEcOPGDYv24eHheHh4mNv8exZW4ufENsl65mS3/H9bt25l9uzZlCxZ0ryvZMmSzJgxg23btqX0ciIiIpLFGIZBnz59WL16NVu2bKFo0aIWxytXrkz27NnZvHmzed+JEycIDQ3Fz88PAD8/P44cOUJERIS5zcaNG3FxccHHxyfZsaR46KpQoUIPXRgwPj4eT0/PlF5OREREnpPn9VLP3r17s3TpUn744QecnZ3NNTWurq44ODjg6upK9+7d6d+/P25ubri4uPDOO+/g5+fHK6+8AkC9evXw8fGhU6dOTJw4kbCwMIYOHUrv3r2TNWSWKMU9Op9++invvPMO+/fvN+/bv38/7777Lp999llKLyciIiLP0fN4oefs2bO5efMmNWvWpECBAuZt+fLl5jZTpkyhSZMmtG7dGn9/fzw8PFi1apX5uK2tLWvXrsXW1hY/Pz/eeOMNOnfuzOjRo1P2vMlZRyd37twW2Vx0dDRxcXFky3a/Qyjxz05OTly7di1FAYj10jo6khFoHR1Jb89zHZ12X+7EzjHl6+jE3I5iec9qzzTGZyVZQ1dTp059xmGIiIjIs/ZgYXFKz8uskpXoBAYGPus4RERERNJcqhcMhPsv5IqJibHYl9m6tERERKzF8ypGzkhSXIwcHR1Nnz59yJ8/P05OTuTOndtiExERkYzJ9BRbZpXiROf9999ny5YtzJ49G3t7e+bNm8eoUaPw9PRk0aJFzyJGERERSQOJ77pKzZZZpXjo6qeffmLRokXUrFmTrl27Ur16dYoXL46XlxdLliwhICDgWcQpIiIikmIp7tG5du0axYoVA+7X4yROJ3/11Ve1MrKIiEgGlpo1dFK7lk5GkeJEp1ixYpw9exa4/0r1FStWAPd7ev79FlIRERHJOBKLkVOzZVYpTnS6du3KoUOHAPjggw+YOXMmOXLkoF+/fgwaNCjNAxQREZG0YY09Oimu0enXr5/5z3Xq1OH48eMcOHCA4sWLU65cuTQNTkRERNJOaguLraoY+d+8vLzw8vJKi1hERERE0lSyEp3p06cn+4J9+/ZNdTAiIiLy7KR2GCoTd+gkL9GZMmVKsi5mMpmU6EiKbVk2gpzOWlFbRORZs8aVkZOV6CTOshIREZHMy4ZUzEJK5TkZxVPX6IiIiEjmYI09Opk5SRMRERF5LPXoiIiIWAmTCWxUjCwiIiJZkU0qE53UnJNRKNERERGxEqrRSabt27fzxhtv4Ofnxz///APA4sWL2bFjR5oGJyIiImknsUcnNVtmleJEZ+XKldSvXx8HBwf+/PNP7t27B8DNmzcZN25cmgcoIiIiklopTnQ+/vhj5syZw5dffkn27NnN+6tVq8Yff/yRpsGJiIhI2tFLPZPhxIkT+Pv7J9nv6urKjRs30iImEREReQas8aWeKe7R8fDw4PTp00n279ixg2LFiqVJUCIiIpL2bJ5iy6xSHHvPnj1599132bNnDyaTiYsXL7JkyRIGDhxIr169nkWMIiIikgY0dJUMH3zwAQkJCdSuXZvbt2/j7++Pvb09AwcO5J133nkWMYqIiIikSooTHZPJxEcffcSgQYM4ffo0UVFR+Pj4kDNnzmcRn4iIiKQRG1JZo0Pm7dJJ9YKBdnZ2+Pj4pGUsIiIi8gyldhjKqoauatWq9dgVErds2fJUAYmIiMizoVdAJEOFChUsPsfGxnLw4EGOHj1KYGBgWsUlIiIiaez+Sz1T8wqIZxDMc5LiRGfKlCkP3T9y5EiioqKeOiARERGRtJJmU+PfeOMNvv7667S6nIiIiKQxTS9/Crt37yZHjhxpdTkRERFJY6rRSYZWrVpZfDYMg0uXLrF//36GDRuWZoGJiIhI2jL9/3+pOS+zSvHQlaurq8Xm5uZGzZo1+eWXXxgxYsSziFFERETSQGKPTmq2lNi2bRtNmzbF09MTk8nEmjVrLI536dIFk8lksTVo0MCizbVr1wgICMDFxYVcuXLRvXv3VNUCp6hHJz4+nq5du+Lr60vu3LlTfDMRERHJ+qKjoylfvjzdunVLMhKUqEGDBsyfP9/82d7e3uJ4QEAAly5dYuPGjcTGxtK1a1fefPNNli5dmqJYUpTo2NraUq9ePYKDg5XoiIiIZDLPq0anYcOGNGzY8LFt7O3t8fDweOix4OBg1q9fz759+3jppZcAmDFjBo0aNeKzzz7D09Mz2bGkeOiqbNmynDlzJqWniYiISDr793BRSjaAyMhIi+3evXupjiUoKIj8+fNTsmRJevXqxdWrV83Hdu/eTa5cucxJDkCdOnWwsbFhz549KbpPihOdjz/+mIEDB7J27VouXbqU5KFFREQkY3raGp1ChQpZ1OmOHz8+VXE0aNCARYsWsXnzZj755BO2bt1Kw4YNiY+PByAsLIz8+fNbnJMtWzbc3NwICwtL0b2SPXQ1evRoBgwYQKNGjQBo1qyZxasgDMPAZDKZgxQREZGs5fz587i4uJg//7uuJrnat29v/rOvry/lypXjxRdfJCgoiNq1az91nA9KdqIzatQo3n77bX777bc0DUBERESej6d9qaeLi4tFopNWihUrRt68eTl9+jS1a9fGw8ODiIgIizZxcXFcu3btkXU9j5LsRMcwDABq1KiRohuIiIhIxmBjMqXqXVepOSclLly4wNWrVylQoAAAfn5+3LhxgwMHDlC5cmXg/kvDExISqFq1aoqunaJZV497a7mIiIhkbM9r1lVUVBSnT582fz579iwHDx7Ezc0NNzc3Ro0aRevWrfHw8CAkJIT333+f4sWLU79+fQBKly5NgwYN6NmzJ3PmzCE2NpY+ffrQvn37FM24ghQmOt7e3k9Mdq5du5aiAEREROQ5Se17q1J4zv79+6lVq5b5c//+/QEIDAxk9uzZHD58mIULF3Ljxg08PT2pV68eY8aMsaj5WbJkCX369KF27drY2NjQunVrpk+fnuLQU5TojBo1CldX1xTfRERERKxHzZo1zSUvD7Nhw4YnXsPNzS3FiwM+TIoSnfbt2yeZ7iUiIiKZgw0mbFLx3qrUnJNRJDvRUX2OiIhI5va0s64yoxTPuhIREZHM6XkVI2ckyU50EhISnmUcIiIi8oxl1Onlz1KKXwEhIiIiklmkqBhZREREMi/V6IiIiEiWZUMqh66sYdaViIiIZG7q0REREZEsy4bUFedm5oLezBy7iIiIyGOpR0dERMRKmEymVC0AnJkXDVaiIyIiYiVMpPj9nObzMislOiIiIlbCGhcMVKIjIiJiRTJvypI6KkYWERGRLEs9OiIiIlZC6+iIiIhIlqVZVyIiIpJlWeOCgUp0RERErIQ19uhk5iRNRERE5LHUoyMiImIltGCgiIiIZFnWOHSlREdERMRKWGMxcmaOXUREROSx1KMjIiJiJTR0JSIiIlmWipFFREQky9IrIERERCTLssGETSr6Z1JzTkahYmQRERHJstSjIyIiYiU0dCUiIiJZlun//0vNeZmVEh0REREroR4dERERybJMqSxGzsw9OipGFhERkSxLPToiIiJWwhqHrtSjIyIiYiUSE53UbCmxbds2mjZtiqenJyaTiTVr1lgcNwyD4cOHU6BAARwcHKhTpw6nTp2yaHPt2jUCAgJwcXEhV65cdO/enaioqBQ/sxIdERERK2F6iv9SIjo6mvLlyzNz5syHHp84cSLTp09nzpw57NmzBycnJ+rXr8/du3fNbQICAvjrr7/YuHEja9euZdu2bbz55pspfmYNXYmIiFgJG9P9LTXnpUTDhg1p2LDhQ48ZhsHUqVMZOnQozZs3B2DRokW4u7uzZs0a2rdvT3BwMOvXr2ffvn289NJLAMyYMYNGjRrx2Wef4enpmfzYUxa6iIiIWKvIyEiL7d69eym+xtmzZwkLC6NOnTrmfa6urlStWpXdu3cDsHv3bnLlymVOcgDq1KmDjY0Ne/bsSdH9lOiIZALhYRcZ8m4P/Mt58XKJ/LSu+wp/HfrDfLx8YZeHbgvmTEvHqCUr27F9G61bNKVoYU8cspv48Yc16R2SJMPTDl0VKlQIV1dX8zZ+/PgUxxAWFgaAu7u7xX53d3fzsbCwMPLnz29xPFu2bLi5uZnbJJeGrkQyuMgb1+nSqh4v+VVn5qKV5HbLS+i5EFxcc5nbbN5vWcS3I2gjIwf1pk7DZs85WrEW0dHR+JYrT+cu3Wj/eqv0DkeS6WlnXZ0/fx4XFxfzfnt7+zSK7NlRoiOSwX09eyruBV5gzKTZ5n0FCxexaJM3v+W/jIJ+/Zkqfv4U9Cr6PEIUK1S/QUPqN3h4DYZkXCZSt/hf4hkuLi4WiU5qeHh4ABAeHk6BAgXM+8PDw6lQoYK5TUREhMV5cXFxXLt2zXx+cmnoSiSD27rxF8qUq8jAtztTs2Ix2jZ8lZVLFzyy/dXLEWzfsoGW7Ts9vyBFJFNILEZOzZZWihYtioeHB5s3bzbvi4yMZM+ePfj5+QHg5+fHjRs3OHDggLnNli1bSEhIoGrVqim6n3p0RDK4C+fPseKbr+jUow/d+wzgr0N/8MmI98mePTvNXg9I0v7H75fi6JST2g00bCUi6SMqKorTp0+bP589e5aDBw/i5uZG4cKFee+99/j4448pUaIERYsWZdiwYXh6etKiRQsASpcuTYMGDejZsydz5swhNjaWPn360L59+xTNuAIlOplOkSJFeO+993jvvffSOxR5ThISEihTriJ9B48AoHTZ8pw+cYzvlnz90ERnzYrFNGrZFvscOZ53qCKSwT2vt5fv37+fWrVqmT/3798fgMDAQBYsWMD7779PdHQ0b775Jjdu3ODVV19l/fr15Hjg760lS5bQp08fateujY2NDa1bt2b69Okpjj3LDl116dLFnBk+KCgoCJPJxI0bN555DCNHjjSPNz6pnclkwmQykS1bNvLmzYu/vz9Tp05NMnVv3759qVowSTKvfPk9KFailMW+YiVKcumfC0na/rFnF+dCTtGqfeDzCk9EMpHntTJyzZo1MQwjybZgwYL/j8PE6NGjCQsL4+7du2zatAlvb2+La7i5ubF06VJu3brFzZs3+frrr8mZM2eKnznLJjrpyTAM4uLiUnROmTJluHTpEqGhofz222+8/vrrjB8/nv/85z/cunXL3C5fvnw4OjqmdciSgVV4qSrnQixnVf195jSeBQslabt6+SJ8fCtS0sf3eYUnIpmI6Sm2zEqJDrBjxw6qV6+Og4MDhQoVom/fvkRHR5uPL168mJdeeglnZ2c8PDzo2LGjRTV4Yi/RunXrqFy5Mvb29nzzzTeMGjWKQ4cOmXtrEjPZh8mWLRseHh54enri6+vLO++8w9atWzl69CiffPKJuV2RIkWYOnUqcD+hGjlyJIULF8be3h5PT0/69u1rbnvv3j0GDhzICy+8gJOTE1WrViUoKMh8/OrVq3To0IEXXngBR0dHfH19+fbbby3i+v777/H19cXBwYE8efJQp04di5/NvHnzKF26NDly5KBUqVLMmjUrpT9+eYI3evTmyJ/7mPf5Z4SeC+GXNSv4fukC2nXuadEu6lYkv/68hpbtO6dTpGJNoqKiOHTwIIcOHgTg3NmzHDp4kNDQ0PQNTB7LBhM2plRsmTjVsfpEJyQkhAYNGtC6dWsOHz7M8uXL2bFjB3369DG3iY2NZcyYMRw6dIg1a9Zw7tw5unTpkuRaH3zwARMmTCA4OJi6desyYMAAc0/NpUuXaNeuXYpiK1WqFA0bNmTVqlUPPb5y5UqmTJnC3LlzOXXqFGvWrMHX93//ku/Tpw+7d+9m2bJlHD58mNdff50GDRqYX5x29+5dKleuzM8//8zRo0d588036dSpE3v37gXg0qVLdOjQgW7duhEcHExQUBCtWrXCMAzg/vjp8OHDGTt2LMHBwYwbN45hw4axcOHCh8Z77969JKtqypOVLV+ZyV8sYd0P39O67it8MX0i74+YQOOWlt+n9T+uBMOgYfM26RSpWJM/DuznlSoVeaVKRQAGD+rPK1UqMmbk8HSOTMRSli5GXrt2bZLxvPj4eIvP48ePJyAgwFzcW6JECaZPn06NGjWYPXs2OXLkoFu3bub2xYoVY/r06VSpUoWoqCiL648ePZq6deuaP+fMmdPcU5NapUqV4tdff33osdDQUDw8PKhTpw7Zs2encOHCvPzyy+Zj8+fPJzQ01FyhPnDgQNavX8/8+fMZN24cL7zwAgMHDjRf75133mHDhg2sWLGCl19+mUuXLhEXF0erVq3w8vICsEikRowYwaRJk2jV6v5iYUWLFuXYsWPMnTuXwMCkNSLjx49n1KhRqf5ZWLMadRpSo87j1yxpE9CVNgFdn1NEYu38a9TkTqyR3mFICqV2GCrz9udk8R6dWrVqcfDgQYtt3rx5Fm0OHTrEggULyJkzp3mrX78+CQkJnD17FoADBw7QtGlTChcujLOzMzVq1ABI0kX74Ds50ophGJgeUQX2+uuvc+fOHYoVK0bPnj1ZvXq1uTboyJEjxMfH4+3tbfFsW7duJSQkBLif9I0ZMwZfX1/c3NzImTMnGzZsMD9X+fLlqV27Nr6+vrz++ut8+eWXXL9+Hbi/KmpISAjdu3e3uP7HH39svv6/DRkyhJs3b5q38+fPp/WPS0REHscKi3SydI+Ok5MTxYsXt9h34YLlTJWoqCjeeusti9qWRIULFyY6Opr69etTv359lixZQr58+QgNDaV+/frExMQkuV9aCw4OpmjRh69uW6hQIU6cOMGmTZvYuHEj//3vf/n000/ZunUrUVFR2NracuDAAWxtbS3OS+yF+vTTT5k2bRpTp07F19cXJycn3nvvPfNz2drasnHjRnbt2sWvv/7KjBkz+Oijj9izZ4+5IPrLL79MsnjTv++XyN7ePlMsFy4iklU9r+nlGUmWTnSSo1KlShw7dixJQpToyJEjXL16lQkTJlCo0P1ZLvv370/Wte3s7JIMlaXE8ePHWb9+PUOGDHlkGwcHB5o2bUrTpk3p3bs3pUqV4siRI1SsWJH4+HgiIiKoXr36Q8/duXMnzZs354033gDur9dy8uRJfHx8zG1MJhPVqlWjWrVqDB8+HC8vL1avXk3//v3x9PTkzJkzBAQkXctFREQyoFS+6yoT5zlKdAYPHswrr7xCnz596NGjB05OThw7doyNGzfy+eefU7hwYezs7JgxYwZvv/02R48eZcyYMcm6dpEiRcyrQRYsWBBnZ+dH9mjExcURFhZGQkICV69eJSgoiI8//pgKFSowaNCgh56zYMEC4uPjqVq1Ko6OjnzzzTc4ODjg5eVFnjx5CAgIoHPnzkyaNImKFSty+fJlNm/eTLly5WjcuDElSpTg+++/Z9euXeTOnZvJkycTHh5uTnT27NnD5s2bqVevHvnz52fPnj1cvnyZ0qVLAzBq1Cj69u2Lq6srDRo04N69e+zfv5/r16+bF4cSERFJT1m6Ric5ypUrx9atWzl58iTVq1enYsWKDB8+3FzAmy9fPhYsWMB3332Hj48PEyZM4LPPPkvWtVu3bk2DBg2oVasW+fLlSzJ1+0F//fUXBQoUoHDhwtSsWZMVK1YwZMgQtm/f/sgFknLlysWXX35JtWrVKFeuHJs2beKnn34iT548AMyfP5/OnTszYMAASpYsSYsWLdi3bx+FCxcGYOjQoVSqVIn69etTs2ZNPDw8LBZZdHFxYdu2bTRq1Ahvb2+GDh3KpEmTaNjwflFsjx49mDdvHvPnz8fX15caNWqwYMGCRw61iYhI+rLCEh1MRuJcYZHnLDIyEldXV3b+dYGczk/3NlyR1PIu4JzeIYiVi4yMxD2PKzdv3nzqN4M/7h6urq5sORSaqr9vo25F8lr5ws80xmfF6oeuRERErIU1FiNb/dCViIiIZF3q0REREbESqXlBZ+J5mZUSHRERESthjSsjK9ERERGxFlaY6SjRERERsRIqRhYRERHJQtSjIyIiYiVUjCwiIiJZlhWW6CjRERERsRpWmOko0REREbESKkYWERERyULUoyMiImIlVIwsIiIiWZYVlugo0REREbEaVpjpKNERERGxEipGFhEREclC1KMjIiJiJVSMLCIiIlmWFZboKNERERGxGlaY6SjRERERsRIqRhYRERHJQtSjIyIiYiVUjCwiIiJZlhWW6GjoSkRExGqYnmJLgZEjR2IymSy2UqVKmY/fvXuX3r17kydPHnLmzEnr1q0JDw9/6sd7GCU6IiIiVsL0FP+lVJkyZbh06ZJ527Fjh/lYv379+Omnn/juu+/YunUrFy9epFWrVmn5qGYauhIREZE0ly1bNjw8PJLsv3nzJl999RVLly7ltddeA2D+/PmULl2a33//nVdeeSVN41CPjoiIiLUw/a8gOSVbYodOZGSkxXbv3r1H3urUqVN4enpSrFgxAgICCA0NBeDAgQPExsZSp04dc9tSpUpRuHBhdu/eneaPrERHRETESjxtiU6hQoVwdXU1b+PHj3/ofapWrcqCBQtYv349s2fP5uzZs1SvXp1bt24RFhaGnZ0duXLlsjjH3d2dsLCwtH5kDV2JiIhYjaecdnX+/HlcXFzMu+3t7R/avGHDhuY/lytXjqpVq+Ll5cWKFStwcHBIRQCppx4dERERSRYXFxeL7VGJzr/lypULb29vTp8+jYeHBzExMdy4ccOiTXh4+ENrep6WEh0REREr8TxnXT0oKiqKkJAQChQoQOXKlcmePTubN282Hz9x4gShoaH4+fk97SMmoaErERERK/G8VkYeOHAgTZs2xcvLi4sXLzJixAhsbW3p0KEDrq6udO/enf79++Pm5oaLiwvvvPMOfn5+aT7jCpToiIiIWI3ntTLyhQsX6NChA1evXiVfvny8+uqr/P777+TLlw+AKVOmYGNjQ+vWrbl37x7169dn1qxZqYjsyZToiIiIWIvnlOksW7bsscdz5MjBzJkzmTlzZiqCSRnV6IiIiEiWpR4dERERK5HawuKnLUZOT0p0RERErISJVBYjp3kkz48SHRERESvxvIqRMxIlOiIiIlbieU0vz0hUjCwiIiJZlnp0RERErIb1DV4p0REREbES1jh0pURHRETESlhff44SHREREathjT06KkYWERGRLEs9OiIiIlZCKyOLiIhI1mWFRTpKdERERKyEFeY5SnRERESshYqRRURERLIQ9eiIiIhYCRUji4iISNZlhUU6SnRERESshBXmOUp0RERErIWKkUVERESyEPXoiIiIWI3UFSNn5sErJToiIiJWQkNXIiIiIlmIenRERESshHp0RERERLIQ9eiIiIhYCa2MLCIiIlmWNQ5dKdERERGxEta4MrJqdERERCTLUo+OiIiItbDCLh0lOiIiIlZCxcgiIiKSZakYWURERLIsKxy5UjGyiIiIPBszZ86kSJEi5MiRg6pVq7J3797nHoMSHREREWtheoothZYvX07//v0ZMWIEf/zxB+XLl6d+/fpERESkxZMkmxIdERERK2F6iv9SavLkyfTs2ZOuXbvi4+PDnDlzcHR05Ouvv34GT/ZoqtGRdGMYBgDRUbfSORKxZpFORnqHIFbuVmQk8L+/E5/pvW5Fpqqw+Nat+zFG/n+siezt7bG3t0/SPiYmhgMHDjBkyBDzPhsbG+rUqcPu3btTHsBTUKIj6ebWrfsJTr2qpdM5EhGR9Hfr1i1cXV2fybXt7Ozw8PCgRNFCqb5Gzpw5KVTI8vwRI0YwcuTIJG2vXLlCfHw87u7uFvvd3d05fvx4qmNIDSU6km48PT05f/48zs7OmDLz3MV0FBkZSaFChTh//jwuLi7pHY5YIX0Hn55hGNy6dQtPT89ndo8cOXJw9uxZYmJiUn0NwzCS/F39sN6cjEaJjqQbGxsbChYsmN5hZAkuLi76JSPpSt/Bp/OsenIelCNHDnLkyPHM7wOQN29ebG1tCQ8Pt9gfHh6Oh4fHc4khkYqRRUREJE3Z2dlRuXJlNm/ebN6XkJDA5s2b8fPze66xqEdHRERE0lz//v0JDAzkpZde4uWXX2bq1KlER0fTtWvX5xqHEh2RTMze3p4RI0ZkinFyyZr0HZRHadeuHZcvX2b48OGEhYVRoUIF1q9fn6RA+VkzGc9jPpuIiIhIOlCNjoiIiGRZSnREREQky1KiIyIiIlmWEh0RERHJspToiIiISJalREdERDIdTRiW5FKiIyIimUZigqP340lyacFAEUkziS/9u3r1Kjly5ODOnTvkzZv3oS8DFEmpxO/R77//zu+//87t27cpXbo0LVu2TO/QJANTj46IpInEX0Jr167l9ddfp3r16tSpU4dly5YpyZE0YTKZWLlyJQ0bNmT37t3s2rWLDz74gO7du6d3aJKBKdERkTRhMpn4+eefef3112nWrBkzZsygZs2adOzYkb1796Z3eJIFnDx5kgEDBjBu3DiWL1/OJ598Qnh4ODlz5kzv0CQDU6IjImkiLi6OJUuWMGTIEN577z0KFSrE2rVr6dmzJy+//LK5nYpIJbUuXLiAm5sbvXr14u+//6Zhw4a0b9+eadOmASihlodSoiMiaeLevXscOHCAl156iZs3b/Kf//yH2rVrM2fOHADmzp3LsWPHNIwlqebg4EC+fPn4448/qF69Og0bNmTmzJkAHDhwgCVLlhASEpLOUUpGo0RHRFIlsWcmJiYGACcnJ+rWrcvatWspU6YMTZs2ZebMmZhMJm7dusXWrVvZvHkzCQkJ6Rm2ZBKJ36/Dhw8TFhYGQN68eTly5Agvv/wyjRo1Yu7cudja2gKwePFigoODyZ07d7rFLBmTEh0RSbHEwuNff/2VCRMmcOrUKQBKlizJypUrefHFFxk/fjzZsmXDMAzGjx/P3r17adKkCTY2+mtHHi/x+7VmzRoaNmzIrFmzuHXrFiVKlGDu3LkkJCTg4uLC/v37OXr0KAMHDmThwoVMnjwZNze39A5fMhiToQFzEUmFVatW0a1bN3r16kW3bt0oUaIEAAMGDOCHH37A19eXIkWKEBYWxoYNG9iyZQsVKlRI36Al00gsbJ82bRqNGjXihRdeMB9bvHgx77//PoZhkDdvXrJnz878+fP1/ZKHUqIjIim2b98+GjZsyKRJkwgMDDTvj42NJXv27CxZsoTNmzdz7tw5KlSoQM+ePSldunQ6RiyZyZ07d3jjjTfw8fFhzJgx3Llzh/DwcJYvX46Pjw+NGzfm8uXLXLhwgRw5cuDh4UGePHnSO2zJoLRgoIik2Llz5yhXrhydOnXi9u3b/PjjjyxatIgbN25Qu3ZtRowYQUBAAAkJCRqqkhQzDIOzZ89SrFgxrl+/zsiRIzl48CCnTp0iPj6e9957jyFDhuDu7p7eoUomoL+BRCRZHuz8vX37Nr///jtTpkyhdu3aLFmyBA8PD1599VWWLVvGgQMHAJTkSKo4Ojry1ltvMWPGDIoUKcL58+fp1q0bFy9epE2bNmzZskXLFEiyqUdHRB4rsTD0wWnhgYGB7N27l7Vr11KpUiW6du3KSy+9xJUrV1i3bl06RiuZTeL36+LFi1y/fh1PT0+cnJx46623qFKlChERETRo0MBitl7BggWJjY3Fzs4uHSOXzEKJjog8UuIvoV27dvHrr79iMpnw9vamQ4cOzJw5kytXrpA3b15z+2nTphEfH0/hwoXTMWrJLB6cXTV06FCuXbuGp6cnjRo1ok+fPlSqVMnc9vTp0yxatIglS5awY8cOJTmSbOpXFpFHMplMrFq1iiZNmnDw4EH27dvHqFGjGD58OID5hZ3ffPMNffr0YdasWSxZsoQCBQqkc+SSGZhMJtavX0/nzp3p3r07hw8fplatWsybN48PP/yQ8PBwAPbs2cPw4cNZuXIlQUFBlC1bNp0jl8xEs65E5JF+//13Xn/9dYYOHcpbb73FoUOHeO2114iMjKR3795MnToVgE8++YSgoCA+++wzypQpk75BS6Zx+fJl3njjDWrVqsUHH3zA1atXqVSpEp6enkRFRfHKK68wceJEcufOzebNmylRooR6CyXFlOiIyCPNnDmTY8eOMXPmTEJDQ6lZsyb+/v6UKVOGDz/8kA8//JBRo0YBEBkZiYuLSzpHLJmJYRgsW7aM8uXLky9fPvz9/alRowZz5syhR48efPfddzRo0IAZM2aQP3/+9A5XMikNXYnII3Xr1o033niDmJgYunTpQs2aNVmwYAFt2rQhb968jBkzhgEDBgAoyZEUM5lMtG7dGh8fHxYuXEixYsUYN24cABUrVqRgwYLEx8cTFxeXzpFKZqZiZBEB/lcYevfuXezt7bl37x4ODg74+fkRHBzM1atXmThxIgA5cuSgZs2a1K5dm5o1a6Zv4JIpJH6/Dh48yIULF7hx4wb+/v7moajw8HAiIiLInj07cH+tps6dO9OzZ0+91kGeihIdETH/Elq3bp35DdBVqlShWbNm1KlTh+zZs3Pu3Dk2b95MhQoVmDFjBv/88w8tW7bUirSSLImF7W+//TYVKlTgxIkTFCtWjKZNm9K/f39KlCjBtm3b6Ny5M05OTqxZs4Y//vhDSY48NQ1diQgmk4kffviBVq1aUbJkSTp27MilS5do3Lgxp06d4oUXXqBfv36MHTuW0qVL88UXXzBt2jQlOZJsBw4coFevXowdO5Zff/2V7777jq1btxIbGwvcHyZt0aIFtra23Lhxg927d+Pt7Z3OUUtWoGJkEeH69eu0adOGZs2a8e677xIREUHFihVp2bIln3/+OXB/NeRDhw5x5swZXn31Vby8vNI5aslMFi1axIIFC9iyZQshISHUrVuXOnXq8MUXXwAQERFhLji+d+8e9vb26RmuZCHq0RER4uLiOHfuHLVq1eLixYtUqlSJxo0bm5OclStXEhERgZ+fHwEBAUpyJMWio6MpXLgwd+7coWbNmtStW5c5c+YAsH79eubPn8+NGzcAlORImlKiI2KF/t2Rmz17dkqXLs0ff/xBtWrVaNy4MbNnzwbg/Pnz/Pzzzxw9elTvF5JkSfyenDlzhlu3bgFQtmxZFi1aRJ48eWjfvj1z5swxvwvtxx9/5MCBA2TLprJRSXtKdESsTGLh8W+//ca8efMAyJUrFy+88ALdunWjcuXKzJkzB1tbWwBmzZrF3r17qVChgsX7rkQeJvH79cMPP/D6668zd+5c7t69S/Xq1Rk/fjyGYVC+fHliYmL4559/GDJkCCtWrGDkyJHkzJkzvcOXLEjps4gVSfwltHLlSt5++21at26Nv78/3t7ezJ07l4iICLZv385nn31GtmzZOHHiBEuXLmX79u0ULFgwvcOXTCAxyWnXrh2TJk2icePG5MiRA7hfcBweHk7nzp0ZOXIkzs7OREVFsXHjRnx8fNI5csmqVIwsYmW2b99Oo0aNmDFjBl26dLE4ZhgG/fv3Z//+/dy6dYsyZcrwwQcf4Ovrmz7BSoa3Z88eypYti5OTE3C/qLhFixa0b9+evn37cu/ePW7dusWmTZuoWLEiJUuWZO/evZw8eRJ3d3fKlCmDp6dnOj+FZGXq0RHJwqZOnYqzszPdu3cH7icyv//+O02bNqVLly7cuHGDPXv2sHDhQmJiYujRowdTpkwhKioKW1tbbG1t9ZZoeaQlS5YwadIkNm3aZE50bGxsuHbtGjlz5iQuLo4xY8bw22+/ceLECe7cucOaNWuoW7cuL7/8cjpHL9ZCNToiWdSVK1c4efIk/v7+5n0mk4moqChWrVpFUFAQb7zxBlOnTuXOnTtcuXKFgQMHmn9JOTg4KMmRxwoICGDNmjW4ublx4cIFbt68Sd68eXnttdcYM2YMefPm5ejRo7Rv356LFy9SrVo1Fi5cqKJ2ea40dCWShcXExGBnZ8fu3bv5448/6N27NzExMbRs2ZIDBw5Qr149unTpwmuvvcbJkydp3rw5a9eu5cUXX0zv0CWDi4uLM8+SOnToEG3atGHAgAH06NGDiIgIDhw4wNWrV2nbti2Ojo4AtGvXjpIlSzJ69Oj0DF2sjIauRLKYxIJjAFtbW6Kjo/niiy/Yv38/2bNn58033+Tnn3/mzJkzFCtWzHzeV199hbOzs5bcl0d68Lv14FTw8uXLU65cOaZPn46dnR1t27aladOm5uPh4eHMmDGDzZs3m992L/K8qEdHJItISEgwr0vy733Hjh1j6tSpHD58mE6dOtG7d29zm02bNvHTTz+xePFitmzZQoUKFZ5z5JIZJH6Xrl+/zvnz59mxYwdFixbF3d2dSpUqAfDGG2+wb98+3n//fdq2bYuzszO//PILK1asYOvWraxevVrfL3nulOiIZAGJv4RCQ0NZsWIFv/76K1FRURQuXJiRI0dSqlQpzpw5w9ixYzl27BiBgYG8/fbbRERE8PnnnxMUFMTMmTM1u0oeKvH7dfz4cQYMGEBoaCj//PMPkZGRFC1alLfffpsBAwYAlslOp06duHDhAtu2baNGjRoULVo0nZ9ErJESHZFMLvGX0NGjR2nXrh0vvvgibm5uxMTEsHv3bq5evcrXX39NmzZtOHXqFBMmTCA4OJju3bvTvXt3IiMjiYuL05CVPFTi9+vQoUPUrl2bTp060bx5c/z9/dmwYQNfffUVq1atYvTo0QwdOhSATp06mWvCunfvjp2dnRablPRjiEimFR8fbxiGYRw8eNBwcnIyBg8ebERERJiPHzp0yGjevLnh7OxsbNmyxTAMwwgODjZ69uxplCxZ0pg/f356hC2ZREJCgmEYhnH48GHD0dHRGDZsWJI2J06cMLp162bkzJnTWLp0qXl/y5YtjcqVKxs3btx4bvGKPIx6dEQyuePHj1OuXDlGjx7NBx98kOT42bNn6datG2fPnuXAgQPkyZOHEydO8PnnnzNgwACKFCny/IOWTOPKlStUq1YNZ2dn9u/fD0B8fDwmk8lcE3bw4EE6duxIxYoVWbRokfn1IRcvXtRigJLutI6OSCYWHx/PsmXLiIuLo06dOuZ9D/Ly8uLNN9/kypUrBAcHA1CyZEkmT56sJEee6O7du9SvX5+YmBg+/fRTAHMiA/dnYlWoUIHWrVuzc+dOYmJiiI2NBVCSIxmCEh2RTMzW1pZevXrRrVs3/P39CQoKwtbW1rwgW2J9RfPmzbl9+zb//POP+dzs2bOnV9iSiRQsWJCBAwfSuHFjvvrqK3OyY2NjY+7ZAbh27RqFChXCwcFB3y3JULSOjkgm5+7uzieffEJCQgKNGjVi/fr1+Pv7m5OchIQEtm/fjo+PD1WrVk3vcCUTKly4ML169QLur7cEMGjQIGxtbYmPjycqKorr169Tt25dwHK9HZH0pkRHJAvIkycPn376KYZh0KBBA9atW0eNGjXMyc6GDRsoWrQouXLlSu9QJZN6XLLzySefsHfvXj7++GMAJTmSoSjREcki8uTJw2effQZAw4YNzcnOsGHDWLRoEVu3blWiI4+U2AsTHx9vUYPzoH8nO46OjkRFRTFt2jR27txpsdK2SEahWVciGdyDKx4nvl/o9u3b5vcH/dvVq1cZOHAgq1evpn79+qxdu5bt27ebV68VeVBighMZGYmLiwsA+/fvx9HRER8fn4eeExoayhdffMH06dOJjo5m7969VK5c+XmGLZJs6tERyeBsbGwICQkB4MUXX2TVqlWsW7eOqVOn4uTklKR9njx5mDRpEvHx8Xz//ffs2LFDSY48kslkIjw8nObNmzNkyBCyZ89OkyZN2Llz5yPPKVy4sHkhwMQXdYpkVOrREcngYmNj6dChAz///DMTJ07k3XffZfHixQQEBDz2vPDwcGxsbMiXL99zilQyq+DgYGbMmMHatWu5fPkyixYt4vXXX3/o+9Me9OAbzEUyKk0vF8ngsmfPzjfffEPJkiXp378/EyZMICAgIMl6Of/m7u6uJEceK/HfuaVLl6Z+/fpcuHCBXLlymWt0EmftPYqSHMkM1KMjkoEl/ov6999/p2XLlri5uXH9+nWCgoLw9vZ+4r+4RZJj1apVnDlzBg8PD/bv38/69esZOnQob7zxBoC+Z5Kp6ZsrkoHZ2NiwZs0aunfvztdff822bdsoV64c/v7+nDx50uJf3Ddv3kznaCUzSfw3bkhICB07dsTV1ZU33niDnj17UrNmTT7++GOWLl0K3P8e/vLLLxw/fjw9QxZJFfXoiGRAiTNhrl27xltvvcWrr77Ku+++C8D58+fp2bMnhw8f5rfffqNkyZJMmjSJU6dOMWPGDK1KK8m2bds2IiIi2L9/PxMmTDDv/+uvv/j888/ZsmULPXr0IDo6mvHjx3Pq1CkKFy6cjhGLpJwGWEUyIJPJxG+//caIESPInj07/v7+5mOFChXiyy+/pFevXpQtW5YGDRqwYcMG9u7dqyRHku3u3bt8/PHHbNq0ibp165p7eEwmE2XKlOHdd9/F1dWV2bNn4+Liwq5du5TkSKakHh2RDOrixYtUqFCBK1eu8N1339G6dWuL4zExMcyYMYOrV6/SuXNnSpUqlU6RSmZ1+vRpRowYwS+//EJQUBDly5e3mEkVGxvLrVu3SEhIIG/evOkcrUjqKNERyYASiz8jIiJ46aWXKFCgAF9//TVlypQBLN8l9LiVbEUSPez9U4ZhcO7cOd566y2OHj3Kjh07KFasmPk7pXdWSVagREckA0j8hXLlyhXi4uLIly+fOXm5ePEilStXplSpUsyaNYvSpUsDmgkjyZf4/dqxYwcbNmwgOjqamjVr0qxZM+D+SsfdunUjODiYHTt2ULRoUX2/JMvQt1gknSX+Evrxxx+pV68e/v7+lClThlWrVnH58mU8PT3Zv38/x48fp2/fvhw9ehRAv4Qk2UwmE6tXr6ZFixb88ccfRERE0KJFC6ZPn05cXByFCxfm66+/xtfXl9KlS3Pu3Dl9vyTL0DdZJJ2ZTCZ+/vlnOnXqRJs2bVi/fj0VKlRg4MCBLFu2jIiICF544QUOHDjA1q1b+fDDD4mJiUnvsCUT2bt3L3369GHcuHH8/PPPfPrpp+TIkYP33nuP0aNHk5CQQOHChZk9ezYNGzYkNjY2vUMWSTMauhJJZxcvXqRjx440btyYQYMGceXKFapWrUq2bNm4du0aw4YNo127dri7u3Pp0iVu3bqFt7d3eoctmUR8fDxLlizh1KlTjBkzhvPnz/Pqq6/StGlTypYty3//+18mTpzIe++9R7Zs2fRaB8lylOiIpLPLly+zevVqmjdvDoC/vz+1atVizpw5tGjRgkOHDvHWW2/RtWtX3N3d0zlaySweLCQODQ0lPDyccuXK0aRJE7y8vJg7dy4RERFUqlSJ8PBwxowZw0cffZTOUYukPQ1diaSzfPny0aRJE9zd3Zk2bRre3t588sknAJQsWZKbN2+ycuVK7Ozs0jlSyQwS/+16584dAO7du0fhwoWpUqUKly9f5urVq3To0AFbW1vs7e1p0qQJX375Ja1atUrPsEWeGfVPijxHif/KPnbsGJGRkVy+fJmmTZvi6ekJ3H/juLOzszmpSRx2qFy5Mrlz507P0CUTSPx+rV+/ni+++IKbN29ib2/P1KlT8fb2Jjo6moMHD3L27FkuX77M9OnT2b9/P5MnT8bZ2Tm9wxd5JtSjI/KcJP4SWrVqFQ0bNuSdd96hW7du1KxZk3Xr1gGQO3duduzYwZgxY+jSpQtz587F29ub/Pnzp3P0khkkzt5r1aoVFSpU4M033+Tu3btUqVKF06dPU7JkSUaPHs2bb77Jq6++yqxZs/j666+V5EiWphodkedo165dNG7cmClTptClSxeOHDlC+fLlmTt3Lj179gSga9eunDt3jvj4eGbMmEH58uXTOWrJLKKiomjRogV169Zl8ODBXLhwAX9/f+rWrcvcuXPN7bZt28atW7fw9fXVax0ky1OiI/IMPGqxtZkzZ7J161ZWrFjBiRMnaNy4MbVq1eLLL7+0KB69ffs2AI6Ojs81bskcEr8rt27dsuiNuXLlCi+//DIbNmwgd+7cVKhQgcaNG5uTnMWLF9O8eXNcXFzSK3SR505DVyLPgI2NDSEhIWzevNliTZJjx47h4uJCQkICderUoXbt2nzxxRcAfPPNN8ycORO4n+AoyZFHMZlMXL16lWLFivHll1+a9+fNm5eyZcvy7bffUrlyZZo2bcrnn38O/G923y+//JJeYYukCyU6Is/IiBEjqFevHlu2bDEnOy1btmTLli3kypWL5s2bM3fuXHMvzq5du9izZ4+5N0fkcRwcHOjcuTN9+vRh8eLFAMTFxVG8eHEmTZqEj48Ps2fPNr/RfvLkyZw8eZJq1aqlZ9giz51mXYk8I9988w3R0dF06tSJhQsXUrt2bcqWLUvNmjUJCgqiZs2awP3hhilTprBq1Sq2bt2qnhxJFkdHR0aMGIGTkxOBgYHY2trSsWNHhg8fTnBwMOHh4bz77rt4e3tz4MABVq1aRVBQEIUKFUrv0EWeK9XoiKSRB2tsHlxdtn379uzdu5eZM2fSsGFD9u/fz2effcaGDRsoUKAALi4uXLp0iTVr1lCxYsX0fATJoP5d8xUXF4etra35+/bqq6+ya9cuFixYQOfOnbl27RoTJkww9xB6e3szZMgQypYtm16PIJJulOiIPKXEBCc6OhonJycMwyA+Ph6TyYStrS3Tpk2jX79+eHp6Mm/ePBo0aEB4eLj5TdE+Pj5UrlwZLy+v9H4UycBCQ0NZs2YNffv2Bf6X/EycOJHPPvuMWrVq8d133zFv3jy6detm/g7GxsZia2ur1zqI9TJE5KmFh4cbRYoUMZYtW2axf+zYsUbevHmNHTt2GC1atDDy5MljrFu3zoiJiUmnSCUziouLMwYPHmx4e3sbn3zyiXn/2LFjDTc3N2Pjxo1GbGysMXToUMNkMhmLFi1Kx2hFMhal+CJp4O7du/j7+9O7d2/s7e1p0aIF48ePZ9KkSXzzzTdUq1aNatWq0axZM7p3786sWbNo3Lix/pUtyWJra8s777zD3bt3WbVqFS4uLty6dYvJkyfzzTffUKdOHQA++OADbG1tCQwMxM7Ojnbt2qVz5CLpT0NXImnk77//5tNPP+Wbb76hYcOG/PbbbyxcuJD69etb1OzUrFmTixcv8ueff+Lk5JTOUUtmEhYWxtixY9m4cSMhISFs2LCB1157zeL7FRUVxfTp02nZsiWlS5dO54hF0p8SHZE0dO7cOaZOncqsWbMYPHgwY8aMMb9kMT4+3vzL6Pz585r9IqkSHh7OuHHjCAoKonPnzgwYMACwLIA3HiiMF7F26jcXSUNFihThnXfeISEhgRkzZlCpUiVatmyJYRjY2toSHx+Pra2tkhxJNXd3d4YMGUJCQgLfffcdcXFxDB48mGzZspm/X0pyRP5HPToiz8C5c+eYNGkSixYtYuHChbRo0SK9Q5IsJnEY688//6R27dqMGjUqvUMSyZC0MrJIKjzp3wdFihRhwIABdO3alVatWrF27drnFJlYCw8PDz766CNKlCjBrl27uHr1anqHJJIhqUdHJAUSax8ShwgS/ftzojNnzjBnzhy6d+9OyZIln2eoYiXCw8OB+0NaIpKUEh2RZEpMcjZv3szq1au5ceMGZcuWpWfPnuTJk+eRyc6DRaIiIvJ8aehKJJlMJhNr1qyhSZMm3Lt3j4iICFauXMlLL73EP//8Yy42/jclOSIi6Uc9OiKP8O8puleuXKFu3bp07NiRQYMGAXD06FEGDBhASEgIe/fuxc3NLb3CFRGRh1CPjsi/JOb+t2/fBu6/UwjuL8R26dIlKlSoYG5bunRpJk6ciKurK8uWLbM4X0RE0p8SHZF/MZlMREREUKRIEVasWGF+a7SHhweFChVi69at5ra2traUK1eObNmyERwcbD5fREQyBiU6Ig9hY2NDs2bN6NSpEz/88IN5X9WqVdmyZQurVq0ytzWZTLzwwgvkypULwzDUoyMikoGoRkeEhy+ZHxERwdixY5kxYwYrV66kZcuWXL16lYCAAG7evEnVqlWpVq0a27ZtY9GiRezZs4dSpUql0xOIiMjDKNERq5eQkICNjQ3R0dHEx8fj4uJiPnbp0iXGjRvHzJkz+e6772jdujVXr15lwoQJ7Ny5kytXruDh4cH06dMtandERCRjUKIjApw6dYq2bduSM2dOevbsiYeHB/Xq1QPg3r17DBgwgFmzZrF8+XJef/114uLiMJlMXLt2DUdHR72FXEQkg9ICH2L1EhISWLBgAYcOHSJHjhzcuHGD27dv4+bmxssvv0y3bt3o2rUrefLkoV27dri4uFC/fn0A8uXLl87Ri4jI46hHR4T7L0j85JNPCAkJoXjx4vTu3ZslS5awfft2Dh8+jJubG8WKFePAgQNEREQQFBSEv79/eoctIiJPoB4dEe5PHR80aBDjxo1jx44dlChRguHDhwOwZ88eLl68yBdffEH+/PmJiIggb9686RyxiIgkh3p0RB6QWHy8Z88eWrRowYcffmg+FhsbS0JCAjdv3iR//vzpGKWIiCSXEh2RfwkLC2Ps2LHs27ePFi1a8MEHHwB6OaeISGakREfkIRKTnT///JPatWszatSo9A5JRERSQSsjizyEh4cHH330ESVKlGDXrl1cvXo1vUMSEZFUUI+OyGOEh4cD4O7uns6RiIhIaijRERERkSxLQ1ciIiKSZSnRERERkSxLiY6IiIhkWUp0REREJMtSoiMiIiJZlhIdERERybKU6IiIiEiWpURHRDK8Ll260KJFC/PnmjVr8t577z33OIKCgjCZTNy4ceORbUwmE2vWrEn2NUeOHEmFChWeKq5z585hMpk4ePDgU11HJCtSoiMiqdKlSxdMJhMmkwk7OzuKFy/O6NGjiYuLe+b3XrVqFWPGjElW2+QkJyKSdelVzCKSag0aNGD+/Pncu3ePX375hd69e5M9e3aGDBmSpG1MTAx2dnZpcl83N7c0uY6IZH3q0RGRVLO3t8fDwwMvLy969epFnTp1+PHHH4H/DTeNHTsWT09PSpYsCcD58+dp27YtuXLlws3NjebNm3Pu3DnzNePj4+nfvz+5cuUiT548vP/++/z7TTX/Hrq6d+8egwcPplChQtjb21O8eHG++uorzp07R61atQDInTs3JpOJLl26AJCQkMD48eMpWrQoDg4OlC9fnu+//97iPr/88gve3t44ODhQq1YtiziTa/DgwXh7e+Po6EixYsUYNmwYsbGxSdrNnTuXQoUK4ejoSNu2bbl586bF8Xnz5lG6dGly5MhBqVKlmDVrVopjEbFGSnREJM04ODgQExNj/rx582ZOnDjBxo0bWbt2LbGxsdSvXx9nZ2e2b9/Ozp07yZkzJw0aNDCfN2nSJBYsWMDXX3/Njh07uHbtGqtXr37sfTt37sy3337L9OnTCQ4OZu7cueTMmZNChQqxcuVKAE6cOMGlS5eYNm0aAOPHj2fRokXMmTOHv/76i379+vHGG2+wdetW4H5C1qpVK5o2bcrBgwfp0aMHH3zwQYp/Js7OzixYsIBjx44xbdo0vvzyS6ZMmWLR5vTp06xYsYKffvqJ9evX8+eff/Lf//7XfHzJkiUMHz6csWPHEhwczLhx4xg2bBgLFy5McTwiVscQEUmFwMBAo3nz5oZhGEZCQoKxceNGw97e3hg4cKD5uLu7u3Hv3j3zOYsXLzZKlixpJCQkmPfdu3fPcHBwMDZs2GAYhmEUKFDAmDhxovl4bGysUbBgQfO9DMMwatSoYbz77ruGYRjGiRMnDMDYuHHjQ+P87bffDMC4fv26ed/du3cNR0dHY9euXRZtu3fvbnTo0MEwDMMYMmSI4ePjY3F88ODBSa71b4CxevXqRx7/9NNPjcqVK5s/jxgxwrC1tTUuXLhg3rdu3TrDxsbGuHTpkmEYhvHiiy8aS5cutbjOmDFjDD8/P8MwDOPs2bMGYPz555+PvK+ItVKNjoik2tq1a8mZMyexsbEkJCTQsWNHRo4caT7u6+trUZdz6NAhTp8+jbOzs8V17t69S0hICDdv3uTSpUtUrVrVfCxbtmy89NJLSYavEh08eBBbW1tq1KiR7LhPnz7N7du3qVu3rsX+mJgYKlasCEBwcLBFHAB+fn7Jvkei5cuXM336dEJCQoiKiiIuLg4XFxeLNoULF+aFF16wuE9CQgInTpzA2dmZkJAQunfvTs+ePc1t4uLicHV1TXE8ItZGiY6IpFqtWrWYPXs2dnZ2eHp6ki2b5V8pTk5OFp+joqKoXLkyS5YsSXKtfPnypSoGBweHFJ8TFRUFwM8//2yRYMD9uqO0snv3bgICAhg1ahT169fH1dWVZcuWMWnSpBTH+uWXXyZJvGxtbdMsVpGsSomOiKSak5MTxYsXT3b7SpUqsXz5cvLnz5+kVyNRgQIF2LNnD/7+/sD9nosDBw5QqVKlh7b39fUlISGBrVu3UqdOnSTHE3uU4uPjzft8fHywt7cnNDT0kT1BpUuXNhdWJ/r999+f/JAP2LVrF15eXnz00UfmfX///XeSdqGhoVy8eBFPT0/zfWxsbChZsiTu7u54enpy5swZAgICUnR/EVExsog8RwEBAeTNm5fmzZuzfft2zp49S1BQEH379uXChQsAvPvuu0yYMIE1a9Zw/Phx/vvf/z52DZwiRYoQGBhIt27dWLNmjfmaK1asAMDLywuTycTatWu5fPkyUVFRODs7M3DgQPr168fChQsJCQnhjz/+YMaMGeYC37fffptTp04xaNAgTpw4wdKlS1mwYEGKnrdEiRKEhoaybNkyQkJCmD59+kMLq3PkyEFgYCCHDh1i+/bt9O3bl7Zt2+Lh4QHAqFGjGD9+PNOnT+fkyZMcOXKE+fPnM3ny5BTFI2KNlOiIyHPj6OjItm3bKFy4MK1ataJ06dJ0796du3fvmnt4BgwYQKdOnQgMDMTPzw9nZ2datmz52OvOnj2bNm3a8N///pdSpUrRs2dPoqOjAXjhhRcYNWoUH3zwAe7u7vTp0weAMWPGMGzYMMaPH0/p0qVp0KABP//8M0WLFgXu182sXLmSNWvWUL58eebMmcO4ceNS9LzNmjWjX79+9OnThwoVKrBr1y6GDRuWpF3x4sVp1aoVjRo1ol69epQrV85i+niPHj2YN28e8+fPx9fXlxo1arBgwQJzrCLyaCbjURV+IiIiIpmcenREREQky1KiIyIiIlmWEh0RERHJspToiIiISJalREdERESyLCU6IiIikmUp0REREZEsS4mOiIiIZFlKdERERCTLUqIjIiIiWZYSHREREcmy/g91oLdn7Og/ogAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "import itertools\n",
    "\n",
    "# Function to plot confusion matrix\n",
    "def plot_confusion_matrix(cm, classes, title='Confusion matrix', cmap=plt.cm.Blues):\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(classes))\n",
    "    plt.xticks(tick_marks, classes, rotation=45)\n",
    "    plt.yticks(tick_marks, classes)\n",
    "\n",
    "    fmt = 'd'\n",
    "    thresh = cm.max() / 2.\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        plt.text(j, i, format(cm[i, j], fmt),\n",
    "                 horizontalalignment=\"center\",\n",
    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "\n",
    "# Function to calculate and plot confusion matrix for each classifier\n",
    "def plot_confusion_matrices(model_dict, X, y, test_size=0.10):\n",
    "    np.random.seed(41) \n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=test_size)\n",
    "    \n",
    "    for name, model in model_dict.items():\n",
    "        model.fit(X_train, y_train)\n",
    "        y_pred = model.predict(X_test)\n",
    "        cnf_matrix = confusion_matrix(y_test, y_pred)\n",
    "        plt.figure()\n",
    "        plot_confusion_matrix(cnf_matrix, classes=['No Heart Disease', 'Heart Disease'], title=f'Confusion Matrix - {name}')\n",
    "\n",
    "# Calling the function\n",
    "plot_confusion_matrices(model_dict, X, y, test_size=0.10)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "339ffc15-6ce1-459a-b2a5-13b50c617a08",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3d85e86-ca62-46a3-bceb-a5a246fbf22b",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}