{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "86266ad7-ffe1-4601-a749-2907c4c9c05c",
   "metadata": {},
   "source": [
    "## Heart Disease Health Indicators Machine Learning Project\n",
    "\n",
    "#### Author: Michael Breen-McKay\n",
    "#### Date: 03/15/2023"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e6ea2147-fca5-45c7-9c2c-8d79ad54bbf8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import packages\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split, cross_val_score, GridSearchCV\n",
    "from sklearn.metrics import mean_squared_error, f1_score, recall_score"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23cee9f6-9b74-418c-8ae5-ccae93dd325a",
   "metadata": {},
   "source": [
    "### Data Review"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c0368d2b-580b-4455-a3f4-908e6f162837",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>HeartDiseaseorAttack</th>\n",
       "      <th>HighBP</th>\n",
       "      <th>HighChol</th>\n",
       "      <th>CholCheck</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Smoker</th>\n",
       "      <th>Stroke</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>PhysActivity</th>\n",
       "      <th>Fruits</th>\n",
       "      <th>...</th>\n",
       "      <th>AnyHealthcare</th>\n",
       "      <th>NoDocbcCost</th>\n",
       "      <th>GenHlth</th>\n",
       "      <th>MentHlth</th>\n",
       "      <th>PhysHlth</th>\n",
       "      <th>DiffWalk</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   HeartDiseaseorAttack  HighBP  HighChol  CholCheck   BMI  Smoker  Stroke  \\\n",
       "0                   0.0     1.0       1.0        1.0  40.0     1.0     0.0   \n",
       "1                   0.0     0.0       0.0        0.0  25.0     1.0     0.0   \n",
       "2                   0.0     1.0       1.0        1.0  28.0     0.0     0.0   \n",
       "3                   0.0     1.0       0.0        1.0  27.0     0.0     0.0   \n",
       "4                   0.0     1.0       1.0        1.0  24.0     0.0     0.0   \n",
       "\n",
       "   Diabetes  PhysActivity  Fruits  ...  AnyHealthcare  NoDocbcCost  GenHlth  \\\n",
       "0       0.0           0.0     0.0  ...            1.0          0.0      5.0   \n",
       "1       0.0           1.0     0.0  ...            0.0          1.0      3.0   \n",
       "2       0.0           0.0     1.0  ...            1.0          1.0      5.0   \n",
       "3       0.0           1.0     1.0  ...            1.0          0.0      2.0   \n",
       "4       0.0           1.0     1.0  ...            1.0          0.0      2.0   \n",
       "\n",
       "   MentHlth  PhysHlth  DiffWalk  Sex   Age  Education  Income  \n",
       "0      18.0      15.0       1.0  0.0   9.0        4.0     3.0  \n",
       "1       0.0       0.0       0.0  0.0   7.0        6.0     1.0  \n",
       "2      30.0      30.0       1.0  0.0   9.0        4.0     8.0  \n",
       "3       0.0       0.0       0.0  0.0  11.0        3.0     6.0  \n",
       "4       3.0       0.0       0.0  0.0  11.0        5.0     4.0  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#load the data\n",
    "df = pd.read_csv(\"heart_disease_health_indicators_BRFSS2015.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5f75c1b9-5b2a-4e41-9db0-f40d4c597050",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['HeartDiseaseorAttack', 'HighBP', 'HighChol', 'CholCheck', 'BMI',\n",
       "       'Smoker', 'Stroke', 'Diabetes', 'PhysActivity', 'Fruits', 'Veggies',\n",
       "       'HvyAlcoholConsump', 'AnyHealthcare', 'NoDocbcCost', 'GenHlth',\n",
       "       'MentHlth', 'PhysHlth', 'DiffWalk', 'Sex', 'Age', 'Education',\n",
       "       'Income'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f5a37618-9f3c-40e5-973f-ebe79aa85718",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 253680 entries, 0 to 253679\n",
      "Data columns (total 22 columns):\n",
      " #   Column                Non-Null Count   Dtype  \n",
      "---  ------                --------------   -----  \n",
      " 0   HeartDiseaseorAttack  253680 non-null  float64\n",
      " 1   HighBP                253680 non-null  float64\n",
      " 2   HighChol              253680 non-null  float64\n",
      " 3   CholCheck             253680 non-null  float64\n",
      " 4   BMI                   253680 non-null  float64\n",
      " 5   Smoker                253680 non-null  float64\n",
      " 6   Stroke                253680 non-null  float64\n",
      " 7   Diabetes              253680 non-null  float64\n",
      " 8   PhysActivity          253680 non-null  float64\n",
      " 9   Fruits                253680 non-null  float64\n",
      " 10  Veggies               253680 non-null  float64\n",
      " 11  HvyAlcoholConsump     253680 non-null  float64\n",
      " 12  AnyHealthcare         253680 non-null  float64\n",
      " 13  NoDocbcCost           253680 non-null  float64\n",
      " 14  GenHlth               253680 non-null  float64\n",
      " 15  MentHlth              253680 non-null  float64\n",
      " 16  PhysHlth              253680 non-null  float64\n",
      " 17  DiffWalk              253680 non-null  float64\n",
      " 18  Sex                   253680 non-null  float64\n",
      " 19  Age                   253680 non-null  float64\n",
      " 20  Education             253680 non-null  float64\n",
      " 21  Income                253680 non-null  float64\n",
      "dtypes: float64(22)\n",
      "memory usage: 42.6 MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "42f316a9-839c-47fd-8b71-347a7e37522a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>HeartDiseaseorAttack</th>\n",
       "      <th>HighBP</th>\n",
       "      <th>HighChol</th>\n",
       "      <th>CholCheck</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Smoker</th>\n",
       "      <th>Stroke</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>PhysActivity</th>\n",
       "      <th>Fruits</th>\n",
       "      <th>...</th>\n",
       "      <th>AnyHealthcare</th>\n",
       "      <th>NoDocbcCost</th>\n",
       "      <th>GenHlth</th>\n",
       "      <th>MentHlth</th>\n",
       "      <th>PhysHlth</th>\n",
       "      <th>DiffWalk</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "      <td>253680.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.094186</td>\n",
       "      <td>0.429001</td>\n",
       "      <td>0.424121</td>\n",
       "      <td>0.962670</td>\n",
       "      <td>28.382364</td>\n",
       "      <td>0.443169</td>\n",
       "      <td>0.040571</td>\n",
       "      <td>0.296921</td>\n",
       "      <td>0.756544</td>\n",
       "      <td>0.634256</td>\n",
       "      <td>...</td>\n",
       "      <td>0.951053</td>\n",
       "      <td>0.084177</td>\n",
       "      <td>2.511392</td>\n",
       "      <td>3.184772</td>\n",
       "      <td>4.242081</td>\n",
       "      <td>0.168224</td>\n",
       "      <td>0.440342</td>\n",
       "      <td>8.032119</td>\n",
       "      <td>5.050434</td>\n",
       "      <td>6.053875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.292087</td>\n",
       "      <td>0.494934</td>\n",
       "      <td>0.494210</td>\n",
       "      <td>0.189571</td>\n",
       "      <td>6.608694</td>\n",
       "      <td>0.496761</td>\n",
       "      <td>0.197294</td>\n",
       "      <td>0.698160</td>\n",
       "      <td>0.429169</td>\n",
       "      <td>0.481639</td>\n",
       "      <td>...</td>\n",
       "      <td>0.215759</td>\n",
       "      <td>0.277654</td>\n",
       "      <td>1.068477</td>\n",
       "      <td>7.412847</td>\n",
       "      <td>8.717951</td>\n",
       "      <td>0.374066</td>\n",
       "      <td>0.496429</td>\n",
       "      <td>3.054220</td>\n",
       "      <td>0.985774</td>\n",
       "      <td>2.071148</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>12.000000</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>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.000000</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>98.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       HeartDiseaseorAttack         HighBP       HighChol      CholCheck  \\\n",
       "count         253680.000000  253680.000000  253680.000000  253680.000000   \n",
       "mean               0.094186       0.429001       0.424121       0.962670   \n",
       "std                0.292087       0.494934       0.494210       0.189571   \n",
       "min                0.000000       0.000000       0.000000       0.000000   \n",
       "25%                0.000000       0.000000       0.000000       1.000000   \n",
       "50%                0.000000       0.000000       0.000000       1.000000   \n",
       "75%                0.000000       1.000000       1.000000       1.000000   \n",
       "max                1.000000       1.000000       1.000000       1.000000   \n",
       "\n",
       "                 BMI         Smoker         Stroke       Diabetes  \\\n",
       "count  253680.000000  253680.000000  253680.000000  253680.000000   \n",
       "mean       28.382364       0.443169       0.040571       0.296921   \n",
       "std         6.608694       0.496761       0.197294       0.698160   \n",
       "min        12.000000       0.000000       0.000000       0.000000   \n",
       "25%        24.000000       0.000000       0.000000       0.000000   \n",
       "50%        27.000000       0.000000       0.000000       0.000000   \n",
       "75%        31.000000       1.000000       0.000000       0.000000   \n",
       "max        98.000000       1.000000       1.000000       2.000000   \n",
       "\n",
       "        PhysActivity         Fruits  ...  AnyHealthcare    NoDocbcCost  \\\n",
       "count  253680.000000  253680.000000  ...  253680.000000  253680.000000   \n",
       "mean        0.756544       0.634256  ...       0.951053       0.084177   \n",
       "std         0.429169       0.481639  ...       0.215759       0.277654   \n",
       "min         0.000000       0.000000  ...       0.000000       0.000000   \n",
       "25%         1.000000       0.000000  ...       1.000000       0.000000   \n",
       "50%         1.000000       1.000000  ...       1.000000       0.000000   \n",
       "75%         1.000000       1.000000  ...       1.000000       0.000000   \n",
       "max         1.000000       1.000000  ...       1.000000       1.000000   \n",
       "\n",
       "             GenHlth       MentHlth       PhysHlth       DiffWalk  \\\n",
       "count  253680.000000  253680.000000  253680.000000  253680.000000   \n",
       "mean        2.511392       3.184772       4.242081       0.168224   \n",
       "std         1.068477       7.412847       8.717951       0.374066   \n",
       "min         1.000000       0.000000       0.000000       0.000000   \n",
       "25%         2.000000       0.000000       0.000000       0.000000   \n",
       "50%         2.000000       0.000000       0.000000       0.000000   \n",
       "75%         3.000000       2.000000       3.000000       0.000000   \n",
       "max         5.000000      30.000000      30.000000       1.000000   \n",
       "\n",
       "                 Sex            Age      Education         Income  \n",
       "count  253680.000000  253680.000000  253680.000000  253680.000000  \n",
       "mean        0.440342       8.032119       5.050434       6.053875  \n",
       "std         0.496429       3.054220       0.985774       2.071148  \n",
       "min         0.000000       1.000000       1.000000       1.000000  \n",
       "25%         0.000000       6.000000       4.000000       5.000000  \n",
       "50%         0.000000       8.000000       5.000000       7.000000  \n",
       "75%         1.000000      10.000000       6.000000       8.000000  \n",
       "max         1.000000      13.000000       6.000000       8.000000  \n",
       "\n",
       "[8 rows x 22 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "describe = df.describe()\n",
    "describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "eeb6791c-b611-4f44-a23c-9b8995a67066",
   "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>HeartDiseaseorAttack</th>\n",
       "      <th>HighBP</th>\n",
       "      <th>HighChol</th>\n",
       "      <th>CholCheck</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Smoker</th>\n",
       "      <th>Stroke</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>PhysActivity</th>\n",
       "      <th>Fruits</th>\n",
       "      <th>...</th>\n",
       "      <th>AnyHealthcare</th>\n",
       "      <th>NoDocbcCost</th>\n",
       "      <th>GenHlth</th>\n",
       "      <th>MentHlth</th>\n",
       "      <th>PhysHlth</th>\n",
       "      <th>DiffWalk</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>HeartDiseaseorAttack</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.209361</td>\n",
       "      <td>0.180765</td>\n",
       "      <td>0.044206</td>\n",
       "      <td>0.052904</td>\n",
       "      <td>0.114441</td>\n",
       "      <td>0.203002</td>\n",
       "      <td>0.180272</td>\n",
       "      <td>-0.087299</td>\n",
       "      <td>-0.019790</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018734</td>\n",
       "      <td>0.031000</td>\n",
       "      <td>0.258383</td>\n",
       "      <td>0.064621</td>\n",
       "      <td>0.181698</td>\n",
       "      <td>0.212709</td>\n",
       "      <td>0.086096</td>\n",
       "      <td>0.221618</td>\n",
       "      <td>-0.099600</td>\n",
       "      <td>-0.141011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HighBP</th>\n",
       "      <td>0.209361</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.298199</td>\n",
       "      <td>0.098508</td>\n",
       "      <td>0.213748</td>\n",
       "      <td>0.096991</td>\n",
       "      <td>0.129575</td>\n",
       "      <td>0.271596</td>\n",
       "      <td>-0.125267</td>\n",
       "      <td>-0.040555</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038425</td>\n",
       "      <td>0.017358</td>\n",
       "      <td>0.300530</td>\n",
       "      <td>0.056456</td>\n",
       "      <td>0.161212</td>\n",
       "      <td>0.223618</td>\n",
       "      <td>0.052207</td>\n",
       "      <td>0.344452</td>\n",
       "      <td>-0.141358</td>\n",
       "      <td>-0.171235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HighChol</th>\n",
       "      <td>0.180765</td>\n",
       "      <td>0.298199</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.085642</td>\n",
       "      <td>0.106722</td>\n",
       "      <td>0.091299</td>\n",
       "      <td>0.092620</td>\n",
       "      <td>0.209085</td>\n",
       "      <td>-0.078046</td>\n",
       "      <td>-0.040859</td>\n",
       "      <td>...</td>\n",
       "      <td>0.042230</td>\n",
       "      <td>0.013310</td>\n",
       "      <td>0.208426</td>\n",
       "      <td>0.062069</td>\n",
       "      <td>0.121751</td>\n",
       "      <td>0.144672</td>\n",
       "      <td>0.031205</td>\n",
       "      <td>0.272318</td>\n",
       "      <td>-0.070802</td>\n",
       "      <td>-0.085459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CholCheck</th>\n",
       "      <td>0.044206</td>\n",
       "      <td>0.098508</td>\n",
       "      <td>0.085642</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.034495</td>\n",
       "      <td>-0.009929</td>\n",
       "      <td>0.024158</td>\n",
       "      <td>0.067546</td>\n",
       "      <td>0.004190</td>\n",
       "      <td>0.023849</td>\n",
       "      <td>...</td>\n",
       "      <td>0.117626</td>\n",
       "      <td>-0.058255</td>\n",
       "      <td>0.046589</td>\n",
       "      <td>-0.008366</td>\n",
       "      <td>0.031775</td>\n",
       "      <td>0.040585</td>\n",
       "      <td>-0.022115</td>\n",
       "      <td>0.090321</td>\n",
       "      <td>0.001510</td>\n",
       "      <td>0.014259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BMI</th>\n",
       "      <td>0.052904</td>\n",
       "      <td>0.213748</td>\n",
       "      <td>0.106722</td>\n",
       "      <td>0.034495</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.013804</td>\n",
       "      <td>0.020153</td>\n",
       "      <td>0.224379</td>\n",
       "      <td>-0.147294</td>\n",
       "      <td>-0.087518</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.018471</td>\n",
       "      <td>0.058206</td>\n",
       "      <td>0.239185</td>\n",
       "      <td>0.085310</td>\n",
       "      <td>0.121141</td>\n",
       "      <td>0.197078</td>\n",
       "      <td>0.042950</td>\n",
       "      <td>-0.036618</td>\n",
       "      <td>-0.103932</td>\n",
       "      <td>-0.100069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Smoker</th>\n",
       "      <td>0.114441</td>\n",
       "      <td>0.096991</td>\n",
       "      <td>0.091299</td>\n",
       "      <td>-0.009929</td>\n",
       "      <td>0.013804</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.061173</td>\n",
       "      <td>0.062914</td>\n",
       "      <td>-0.087401</td>\n",
       "      <td>-0.077666</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.023251</td>\n",
       "      <td>0.048946</td>\n",
       "      <td>0.163143</td>\n",
       "      <td>0.092196</td>\n",
       "      <td>0.116460</td>\n",
       "      <td>0.122463</td>\n",
       "      <td>0.093662</td>\n",
       "      <td>0.120641</td>\n",
       "      <td>-0.161955</td>\n",
       "      <td>-0.123937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stroke</th>\n",
       "      <td>0.203002</td>\n",
       "      <td>0.129575</td>\n",
       "      <td>0.092620</td>\n",
       "      <td>0.024158</td>\n",
       "      <td>0.020153</td>\n",
       "      <td>0.061173</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.107179</td>\n",
       "      <td>-0.069151</td>\n",
       "      <td>-0.013389</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008776</td>\n",
       "      <td>0.034804</td>\n",
       "      <td>0.177942</td>\n",
       "      <td>0.070172</td>\n",
       "      <td>0.148944</td>\n",
       "      <td>0.176567</td>\n",
       "      <td>0.002978</td>\n",
       "      <td>0.126974</td>\n",
       "      <td>-0.076009</td>\n",
       "      <td>-0.128599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diabetes</th>\n",
       "      <td>0.180272</td>\n",
       "      <td>0.271596</td>\n",
       "      <td>0.209085</td>\n",
       "      <td>0.067546</td>\n",
       "      <td>0.224379</td>\n",
       "      <td>0.062914</td>\n",
       "      <td>0.107179</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.121947</td>\n",
       "      <td>-0.042192</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015410</td>\n",
       "      <td>0.035436</td>\n",
       "      <td>0.302587</td>\n",
       "      <td>0.073507</td>\n",
       "      <td>0.176287</td>\n",
       "      <td>0.224239</td>\n",
       "      <td>0.031040</td>\n",
       "      <td>0.185026</td>\n",
       "      <td>-0.130517</td>\n",
       "      <td>-0.171483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PhysActivity</th>\n",
       "      <td>-0.087299</td>\n",
       "      <td>-0.125267</td>\n",
       "      <td>-0.078046</td>\n",
       "      <td>0.004190</td>\n",
       "      <td>-0.147294</td>\n",
       "      <td>-0.087401</td>\n",
       "      <td>-0.069151</td>\n",
       "      <td>-0.121947</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.142756</td>\n",
       "      <td>...</td>\n",
       "      <td>0.035505</td>\n",
       "      <td>-0.061638</td>\n",
       "      <td>-0.266186</td>\n",
       "      <td>-0.125587</td>\n",
       "      <td>-0.219230</td>\n",
       "      <td>-0.253174</td>\n",
       "      <td>0.032482</td>\n",
       "      <td>-0.092511</td>\n",
       "      <td>0.199658</td>\n",
       "      <td>0.198539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fruits</th>\n",
       "      <td>-0.019790</td>\n",
       "      <td>-0.040555</td>\n",
       "      <td>-0.040859</td>\n",
       "      <td>0.023849</td>\n",
       "      <td>-0.087518</td>\n",
       "      <td>-0.077666</td>\n",
       "      <td>-0.013389</td>\n",
       "      <td>-0.042192</td>\n",
       "      <td>0.142756</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031544</td>\n",
       "      <td>-0.044243</td>\n",
       "      <td>-0.103854</td>\n",
       "      <td>-0.068217</td>\n",
       "      <td>-0.044633</td>\n",
       "      <td>-0.048352</td>\n",
       "      <td>-0.091175</td>\n",
       "      <td>0.064547</td>\n",
       "      <td>0.110187</td>\n",
       "      <td>0.079929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Veggies</th>\n",
       "      <td>-0.039167</td>\n",
       "      <td>-0.061266</td>\n",
       "      <td>-0.039874</td>\n",
       "      <td>0.006121</td>\n",
       "      <td>-0.062275</td>\n",
       "      <td>-0.030678</td>\n",
       "      <td>-0.041124</td>\n",
       "      <td>-0.058972</td>\n",
       "      <td>0.153150</td>\n",
       "      <td>0.254342</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029584</td>\n",
       "      <td>-0.032232</td>\n",
       "      <td>-0.123066</td>\n",
       "      <td>-0.058884</td>\n",
       "      <td>-0.064290</td>\n",
       "      <td>-0.080506</td>\n",
       "      <td>-0.064765</td>\n",
       "      <td>-0.009771</td>\n",
       "      <td>0.154329</td>\n",
       "      <td>0.151087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HvyAlcoholConsump</th>\n",
       "      <td>-0.028991</td>\n",
       "      <td>-0.003972</td>\n",
       "      <td>-0.011543</td>\n",
       "      <td>-0.023730</td>\n",
       "      <td>-0.048736</td>\n",
       "      <td>0.101619</td>\n",
       "      <td>-0.016950</td>\n",
       "      <td>-0.057882</td>\n",
       "      <td>0.012392</td>\n",
       "      <td>-0.035288</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.010488</td>\n",
       "      <td>0.004684</td>\n",
       "      <td>-0.036724</td>\n",
       "      <td>0.024716</td>\n",
       "      <td>-0.026415</td>\n",
       "      <td>-0.037668</td>\n",
       "      <td>0.005740</td>\n",
       "      <td>-0.034578</td>\n",
       "      <td>0.023997</td>\n",
       "      <td>0.053619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AnyHealthcare</th>\n",
       "      <td>0.018734</td>\n",
       "      <td>0.038425</td>\n",
       "      <td>0.042230</td>\n",
       "      <td>0.117626</td>\n",
       "      <td>-0.018471</td>\n",
       "      <td>-0.023251</td>\n",
       "      <td>0.008776</td>\n",
       "      <td>0.015410</td>\n",
       "      <td>0.035505</td>\n",
       "      <td>0.031544</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.232532</td>\n",
       "      <td>-0.040817</td>\n",
       "      <td>-0.052707</td>\n",
       "      <td>-0.008276</td>\n",
       "      <td>0.007074</td>\n",
       "      <td>-0.019405</td>\n",
       "      <td>0.138046</td>\n",
       "      <td>0.122514</td>\n",
       "      <td>0.157999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NoDocbcCost</th>\n",
       "      <td>0.031000</td>\n",
       "      <td>0.017358</td>\n",
       "      <td>0.013310</td>\n",
       "      <td>-0.058255</td>\n",
       "      <td>0.058206</td>\n",
       "      <td>0.048946</td>\n",
       "      <td>0.034804</td>\n",
       "      <td>0.035436</td>\n",
       "      <td>-0.061638</td>\n",
       "      <td>-0.044243</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.232532</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.166397</td>\n",
       "      <td>0.192107</td>\n",
       "      <td>0.148998</td>\n",
       "      <td>0.118447</td>\n",
       "      <td>-0.044931</td>\n",
       "      <td>-0.119777</td>\n",
       "      <td>-0.100701</td>\n",
       "      <td>-0.203182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GenHlth</th>\n",
       "      <td>0.258383</td>\n",
       "      <td>0.300530</td>\n",
       "      <td>0.208426</td>\n",
       "      <td>0.046589</td>\n",
       "      <td>0.239185</td>\n",
       "      <td>0.163143</td>\n",
       "      <td>0.177942</td>\n",
       "      <td>0.302587</td>\n",
       "      <td>-0.266186</td>\n",
       "      <td>-0.103854</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.040817</td>\n",
       "      <td>0.166397</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.301674</td>\n",
       "      <td>0.524364</td>\n",
       "      <td>0.456920</td>\n",
       "      <td>-0.006091</td>\n",
       "      <td>0.152450</td>\n",
       "      <td>-0.284912</td>\n",
       "      <td>-0.370014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MentHlth</th>\n",
       "      <td>0.064621</td>\n",
       "      <td>0.056456</td>\n",
       "      <td>0.062069</td>\n",
       "      <td>-0.008366</td>\n",
       "      <td>0.085310</td>\n",
       "      <td>0.092196</td>\n",
       "      <td>0.070172</td>\n",
       "      <td>0.073507</td>\n",
       "      <td>-0.125587</td>\n",
       "      <td>-0.068217</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.052707</td>\n",
       "      <td>0.192107</td>\n",
       "      <td>0.301674</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.353619</td>\n",
       "      <td>0.233688</td>\n",
       "      <td>-0.080705</td>\n",
       "      <td>-0.092068</td>\n",
       "      <td>-0.101830</td>\n",
       "      <td>-0.209806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PhysHlth</th>\n",
       "      <td>0.181698</td>\n",
       "      <td>0.161212</td>\n",
       "      <td>0.121751</td>\n",
       "      <td>0.031775</td>\n",
       "      <td>0.121141</td>\n",
       "      <td>0.116460</td>\n",
       "      <td>0.148944</td>\n",
       "      <td>0.176287</td>\n",
       "      <td>-0.219230</td>\n",
       "      <td>-0.044633</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.008276</td>\n",
       "      <td>0.148998</td>\n",
       "      <td>0.524364</td>\n",
       "      <td>0.353619</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.478417</td>\n",
       "      <td>-0.043137</td>\n",
       "      <td>0.099130</td>\n",
       "      <td>-0.155093</td>\n",
       "      <td>-0.266799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DiffWalk</th>\n",
       "      <td>0.212709</td>\n",
       "      <td>0.223618</td>\n",
       "      <td>0.144672</td>\n",
       "      <td>0.040585</td>\n",
       "      <td>0.197078</td>\n",
       "      <td>0.122463</td>\n",
       "      <td>0.176567</td>\n",
       "      <td>0.224239</td>\n",
       "      <td>-0.253174</td>\n",
       "      <td>-0.048352</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007074</td>\n",
       "      <td>0.118447</td>\n",
       "      <td>0.456920</td>\n",
       "      <td>0.233688</td>\n",
       "      <td>0.478417</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.070299</td>\n",
       "      <td>0.204450</td>\n",
       "      <td>-0.192642</td>\n",
       "      <td>-0.320124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sex</th>\n",
       "      <td>0.086096</td>\n",
       "      <td>0.052207</td>\n",
       "      <td>0.031205</td>\n",
       "      <td>-0.022115</td>\n",
       "      <td>0.042950</td>\n",
       "      <td>0.093662</td>\n",
       "      <td>0.002978</td>\n",
       "      <td>0.031040</td>\n",
       "      <td>0.032482</td>\n",
       "      <td>-0.091175</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.019405</td>\n",
       "      <td>-0.044931</td>\n",
       "      <td>-0.006091</td>\n",
       "      <td>-0.080705</td>\n",
       "      <td>-0.043137</td>\n",
       "      <td>-0.070299</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.027340</td>\n",
       "      <td>0.019480</td>\n",
       "      <td>0.127141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>0.221618</td>\n",
       "      <td>0.344452</td>\n",
       "      <td>0.272318</td>\n",
       "      <td>0.090321</td>\n",
       "      <td>-0.036618</td>\n",
       "      <td>0.120641</td>\n",
       "      <td>0.126974</td>\n",
       "      <td>0.185026</td>\n",
       "      <td>-0.092511</td>\n",
       "      <td>0.064547</td>\n",
       "      <td>...</td>\n",
       "      <td>0.138046</td>\n",
       "      <td>-0.119777</td>\n",
       "      <td>0.152450</td>\n",
       "      <td>-0.092068</td>\n",
       "      <td>0.099130</td>\n",
       "      <td>0.204450</td>\n",
       "      <td>-0.027340</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.101901</td>\n",
       "      <td>-0.127775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Education</th>\n",
       "      <td>-0.099600</td>\n",
       "      <td>-0.141358</td>\n",
       "      <td>-0.070802</td>\n",
       "      <td>0.001510</td>\n",
       "      <td>-0.103932</td>\n",
       "      <td>-0.161955</td>\n",
       "      <td>-0.076009</td>\n",
       "      <td>-0.130517</td>\n",
       "      <td>0.199658</td>\n",
       "      <td>0.110187</td>\n",
       "      <td>...</td>\n",
       "      <td>0.122514</td>\n",
       "      <td>-0.100701</td>\n",
       "      <td>-0.284912</td>\n",
       "      <td>-0.101830</td>\n",
       "      <td>-0.155093</td>\n",
       "      <td>-0.192642</td>\n",
       "      <td>0.019480</td>\n",
       "      <td>-0.101901</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.449106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income</th>\n",
       "      <td>-0.141011</td>\n",
       "      <td>-0.171235</td>\n",
       "      <td>-0.085459</td>\n",
       "      <td>0.014259</td>\n",
       "      <td>-0.100069</td>\n",
       "      <td>-0.123937</td>\n",
       "      <td>-0.128599</td>\n",
       "      <td>-0.171483</td>\n",
       "      <td>0.198539</td>\n",
       "      <td>0.079929</td>\n",
       "      <td>...</td>\n",
       "      <td>0.157999</td>\n",
       "      <td>-0.203182</td>\n",
       "      <td>-0.370014</td>\n",
       "      <td>-0.209806</td>\n",
       "      <td>-0.266799</td>\n",
       "      <td>-0.320124</td>\n",
       "      <td>0.127141</td>\n",
       "      <td>-0.127775</td>\n",
       "      <td>0.449106</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      HeartDiseaseorAttack    HighBP  HighChol  CholCheck  \\\n",
       "HeartDiseaseorAttack              1.000000  0.209361  0.180765   0.044206   \n",
       "HighBP                            0.209361  1.000000  0.298199   0.098508   \n",
       "HighChol                          0.180765  0.298199  1.000000   0.085642   \n",
       "CholCheck                         0.044206  0.098508  0.085642   1.000000   \n",
       "BMI                               0.052904  0.213748  0.106722   0.034495   \n",
       "Smoker                            0.114441  0.096991  0.091299  -0.009929   \n",
       "Stroke                            0.203002  0.129575  0.092620   0.024158   \n",
       "Diabetes                          0.180272  0.271596  0.209085   0.067546   \n",
       "PhysActivity                     -0.087299 -0.125267 -0.078046   0.004190   \n",
       "Fruits                           -0.019790 -0.040555 -0.040859   0.023849   \n",
       "Veggies                          -0.039167 -0.061266 -0.039874   0.006121   \n",
       "HvyAlcoholConsump                -0.028991 -0.003972 -0.011543  -0.023730   \n",
       "AnyHealthcare                     0.018734  0.038425  0.042230   0.117626   \n",
       "NoDocbcCost                       0.031000  0.017358  0.013310  -0.058255   \n",
       "GenHlth                           0.258383  0.300530  0.208426   0.046589   \n",
       "MentHlth                          0.064621  0.056456  0.062069  -0.008366   \n",
       "PhysHlth                          0.181698  0.161212  0.121751   0.031775   \n",
       "DiffWalk                          0.212709  0.223618  0.144672   0.040585   \n",
       "Sex                               0.086096  0.052207  0.031205  -0.022115   \n",
       "Age                               0.221618  0.344452  0.272318   0.090321   \n",
       "Education                        -0.099600 -0.141358 -0.070802   0.001510   \n",
       "Income                           -0.141011 -0.171235 -0.085459   0.014259   \n",
       "\n",
       "                           BMI    Smoker    Stroke  Diabetes  PhysActivity  \\\n",
       "HeartDiseaseorAttack  0.052904  0.114441  0.203002  0.180272     -0.087299   \n",
       "HighBP                0.213748  0.096991  0.129575  0.271596     -0.125267   \n",
       "HighChol              0.106722  0.091299  0.092620  0.209085     -0.078046   \n",
       "CholCheck             0.034495 -0.009929  0.024158  0.067546      0.004190   \n",
       "BMI                   1.000000  0.013804  0.020153  0.224379     -0.147294   \n",
       "Smoker                0.013804  1.000000  0.061173  0.062914     -0.087401   \n",
       "Stroke                0.020153  0.061173  1.000000  0.107179     -0.069151   \n",
       "Diabetes              0.224379  0.062914  0.107179  1.000000     -0.121947   \n",
       "PhysActivity         -0.147294 -0.087401 -0.069151 -0.121947      1.000000   \n",
       "Fruits               -0.087518 -0.077666 -0.013389 -0.042192      0.142756   \n",
       "Veggies              -0.062275 -0.030678 -0.041124 -0.058972      0.153150   \n",
       "HvyAlcoholConsump    -0.048736  0.101619 -0.016950 -0.057882      0.012392   \n",
       "AnyHealthcare        -0.018471 -0.023251  0.008776  0.015410      0.035505   \n",
       "NoDocbcCost           0.058206  0.048946  0.034804  0.035436     -0.061638   \n",
       "GenHlth               0.239185  0.163143  0.177942  0.302587     -0.266186   \n",
       "MentHlth              0.085310  0.092196  0.070172  0.073507     -0.125587   \n",
       "PhysHlth              0.121141  0.116460  0.148944  0.176287     -0.219230   \n",
       "DiffWalk              0.197078  0.122463  0.176567  0.224239     -0.253174   \n",
       "Sex                   0.042950  0.093662  0.002978  0.031040      0.032482   \n",
       "Age                  -0.036618  0.120641  0.126974  0.185026     -0.092511   \n",
       "Education            -0.103932 -0.161955 -0.076009 -0.130517      0.199658   \n",
       "Income               -0.100069 -0.123937 -0.128599 -0.171483      0.198539   \n",
       "\n",
       "                        Fruits  ...  AnyHealthcare  NoDocbcCost   GenHlth  \\\n",
       "HeartDiseaseorAttack -0.019790  ...       0.018734     0.031000  0.258383   \n",
       "HighBP               -0.040555  ...       0.038425     0.017358  0.300530   \n",
       "HighChol             -0.040859  ...       0.042230     0.013310  0.208426   \n",
       "CholCheck             0.023849  ...       0.117626    -0.058255  0.046589   \n",
       "BMI                  -0.087518  ...      -0.018471     0.058206  0.239185   \n",
       "Smoker               -0.077666  ...      -0.023251     0.048946  0.163143   \n",
       "Stroke               -0.013389  ...       0.008776     0.034804  0.177942   \n",
       "Diabetes             -0.042192  ...       0.015410     0.035436  0.302587   \n",
       "PhysActivity          0.142756  ...       0.035505    -0.061638 -0.266186   \n",
       "Fruits                1.000000  ...       0.031544    -0.044243 -0.103854   \n",
       "Veggies               0.254342  ...       0.029584    -0.032232 -0.123066   \n",
       "HvyAlcoholConsump    -0.035288  ...      -0.010488     0.004684 -0.036724   \n",
       "AnyHealthcare         0.031544  ...       1.000000    -0.232532 -0.040817   \n",
       "NoDocbcCost          -0.044243  ...      -0.232532     1.000000  0.166397   \n",
       "GenHlth              -0.103854  ...      -0.040817     0.166397  1.000000   \n",
       "MentHlth             -0.068217  ...      -0.052707     0.192107  0.301674   \n",
       "PhysHlth             -0.044633  ...      -0.008276     0.148998  0.524364   \n",
       "DiffWalk             -0.048352  ...       0.007074     0.118447  0.456920   \n",
       "Sex                  -0.091175  ...      -0.019405    -0.044931 -0.006091   \n",
       "Age                   0.064547  ...       0.138046    -0.119777  0.152450   \n",
       "Education             0.110187  ...       0.122514    -0.100701 -0.284912   \n",
       "Income                0.079929  ...       0.157999    -0.203182 -0.370014   \n",
       "\n",
       "                      MentHlth  PhysHlth  DiffWalk       Sex       Age  \\\n",
       "HeartDiseaseorAttack  0.064621  0.181698  0.212709  0.086096  0.221618   \n",
       "HighBP                0.056456  0.161212  0.223618  0.052207  0.344452   \n",
       "HighChol              0.062069  0.121751  0.144672  0.031205  0.272318   \n",
       "CholCheck            -0.008366  0.031775  0.040585 -0.022115  0.090321   \n",
       "BMI                   0.085310  0.121141  0.197078  0.042950 -0.036618   \n",
       "Smoker                0.092196  0.116460  0.122463  0.093662  0.120641   \n",
       "Stroke                0.070172  0.148944  0.176567  0.002978  0.126974   \n",
       "Diabetes              0.073507  0.176287  0.224239  0.031040  0.185026   \n",
       "PhysActivity         -0.125587 -0.219230 -0.253174  0.032482 -0.092511   \n",
       "Fruits               -0.068217 -0.044633 -0.048352 -0.091175  0.064547   \n",
       "Veggies              -0.058884 -0.064290 -0.080506 -0.064765 -0.009771   \n",
       "HvyAlcoholConsump     0.024716 -0.026415 -0.037668  0.005740 -0.034578   \n",
       "AnyHealthcare        -0.052707 -0.008276  0.007074 -0.019405  0.138046   \n",
       "NoDocbcCost           0.192107  0.148998  0.118447 -0.044931 -0.119777   \n",
       "GenHlth               0.301674  0.524364  0.456920 -0.006091  0.152450   \n",
       "MentHlth              1.000000  0.353619  0.233688 -0.080705 -0.092068   \n",
       "PhysHlth              0.353619  1.000000  0.478417 -0.043137  0.099130   \n",
       "DiffWalk              0.233688  0.478417  1.000000 -0.070299  0.204450   \n",
       "Sex                  -0.080705 -0.043137 -0.070299  1.000000 -0.027340   \n",
       "Age                  -0.092068  0.099130  0.204450 -0.027340  1.000000   \n",
       "Education            -0.101830 -0.155093 -0.192642  0.019480 -0.101901   \n",
       "Income               -0.209806 -0.266799 -0.320124  0.127141 -0.127775   \n",
       "\n",
       "                      Education    Income  \n",
       "HeartDiseaseorAttack  -0.099600 -0.141011  \n",
       "HighBP                -0.141358 -0.171235  \n",
       "HighChol              -0.070802 -0.085459  \n",
       "CholCheck              0.001510  0.014259  \n",
       "BMI                   -0.103932 -0.100069  \n",
       "Smoker                -0.161955 -0.123937  \n",
       "Stroke                -0.076009 -0.128599  \n",
       "Diabetes              -0.130517 -0.171483  \n",
       "PhysActivity           0.199658  0.198539  \n",
       "Fruits                 0.110187  0.079929  \n",
       "Veggies                0.154329  0.151087  \n",
       "HvyAlcoholConsump      0.023997  0.053619  \n",
       "AnyHealthcare          0.122514  0.157999  \n",
       "NoDocbcCost           -0.100701 -0.203182  \n",
       "GenHlth               -0.284912 -0.370014  \n",
       "MentHlth              -0.101830 -0.209806  \n",
       "PhysHlth              -0.155093 -0.266799  \n",
       "DiffWalk              -0.192642 -0.320124  \n",
       "Sex                    0.019480  0.127141  \n",
       "Age                   -0.101901 -0.127775  \n",
       "Education              1.000000  0.449106  \n",
       "Income                 0.449106  1.000000  \n",
       "\n",
       "[22 rows x 22 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e2a5540-7d22-4f6b-ae3a-e36bd95ce899",
   "metadata": {},
   "source": [
    "We will visualize this with a heat map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "db14b992-0968-485b-9502-870719363e01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize = (15,15))\n",
    "sns.heatmap(df.corr(), annot=True, linewidths=0.5, linecolor='black', ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d935d7fb-4a7e-410d-bde1-c132c48bf408",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x21a6ed33880>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(df, x=\"Age\", discrete=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b87fbd57-5235-4c4c-bfb0-ee0bf2c7cf5f",
   "metadata": {},
   "source": [
    "I'm interested in checking the correlation between features that have fairly strong correlation.  From above we see that HighBP, HighChol, Smoker, Stroke, Diabetes, GenHlth, PhysHlth, DiffWalk, Age, Education, and Income all have |corr|>.1. Going forward we will only consider these features. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2ae204c8-1d05-4000-b74f-7077ed37b00f",
   "metadata": {},
   "outputs": [],
   "source": [
    "strong_corr = ['HeartDiseaseorAttack','HighBP', 'HighChol', 'Smoker',\n",
    "               'Stroke', 'Diabetes', 'GenHlth', 'PhysHlth','MentHlth',\n",
    "               'DiffWalk', 'Age', 'Education', 'Income']\n",
    "df = df[strong_corr]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6f756f37-ef57-4f61-927a-0d7499a4542d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizing the correlation of the dataset with the seaborn library.\n",
    "corr_matrix = df.corr()\n",
    "sns.clustermap(corr_matrix, annot = True, fmt = \".2f\")\n",
    "plt.title(\"Correlation Between Features\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "14286e4f-038a-4a91-807a-7233361d8e93",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0    229787\n",
      "1.0     23893\n",
      "Name: HeartDiseaseorAttack, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "sns.countplot(x=df.HeartDiseaseorAttack)\n",
    "print(df.HeartDiseaseorAttack.value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "506fdf13-56b9-4f62-bdb1-6e1db7955806",
   "metadata": {},
   "source": [
    "We have a very low positive rate in our data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b480399b-7ccd-4657-a16f-100912aae0a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.0    107325\n",
      "5.0     69910\n",
      "4.0     62750\n",
      "3.0      9478\n",
      "2.0      4043\n",
      "1.0       174\n",
      "Name: Education, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "sns.countplot(x=df[\"Education\"])\n",
    "print(df[\"Education\"].value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43a76fea-a9a3-4681-ab91-57d1aa43700b",
   "metadata": {},
   "source": [
    "In the scale used by the study, 1 is never attended school and 6 is 4 years of college and up.  We see that 6 is the largest bucket.  Also in the data provided, responses of 9 where the respondent refused to answer were removed. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "45b724be-75ea-46a7-94f5-659ee706eeb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8.0    90385\n",
      "7.0    43219\n",
      "6.0    36470\n",
      "5.0    25883\n",
      "4.0    20135\n",
      "3.0    15994\n",
      "2.0    11783\n",
      "1.0     9811\n",
      "Name: Income, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "sns.countplot(x=df[\"Income\"])\n",
    "print(df[\"Income\"].value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1439b15-cf0f-4445-a453-60f170bf2632",
   "metadata": {},
   "source": [
    "In this question, 1 is for < 10,000 dollars per year and 6 is for > 75,000 dollars per year. Again the 'don't know' and 'refused to answer' responses were removed from the data, which leaves us with the largest bucket being those making more than $75,000. The results of this survey could be skewed towards college educated/middle class respondents.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fafc15e-cdb0-49ce-9f1c-4730dc34b925",
   "metadata": {},
   "source": [
    "#### Setting up Machine Learning Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7daded97-ea25-49a5-9424-80b73992fde7",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df.drop(['HeartDiseaseorAttack'], axis=1)\n",
    "y = df['HeartDiseaseorAttack']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b030a377-52de-48bc-b77b-e340a3afec6b",
   "metadata": {},
   "source": [
    "Our dataset is fairly large and I would like to check a variety of models, which means processing time is a factor.  While I would like to use GridSearchCV to test a variety of parameters in each type of model, this might not be feasible for local processing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5c788837-4bf8-497d-8635-f3f477b40d51",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train, x_test, y_train, y_test = train_test_split(x,y,test_size = 0.3, random_state=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b8b8a21a-0cf8-4882-8f68-3a98ffb8f796",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train_shape:  (177576, 12)\n",
      "x_test_shape:  (76104, 12)\n",
      "y_train_shape:  (177576,)\n",
      "y_test_shape:  (76104,)\n"
     ]
    }
   ],
   "source": [
    "print(\"x_train_shape: \", x_train.shape)\n",
    "print(\"x_test_shape: \", x_test.shape)\n",
    "print(\"y_train_shape: \", y_train.shape)\n",
    "print(\"y_test_shape: \", y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7dde206-d70a-4a29-92c6-ada7fe4bfb7f",
   "metadata": {},
   "source": [
    "Here we will scale the data. Although most features are already binary and the rest are fairly small numbers I still want to minimize any additional weight from the larger values. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "aed300d0-f15d-43b7-911a-4c5ec7a6b171",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Here we apply the StandardScaler to the data\n",
    "\n",
    "SS = StandardScaler()\n",
    "SSx_train = SS.fit_transform(x_train)\n",
    "SSx_test = SS.fit_transform(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f1e1969a-5e12-4bc7-94b4-1a03690c163e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import Naive Bayes classification models\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.naive_bayes import BernoulliNB\n",
    "\n",
    "# Import Support Vector Machine classification models\n",
    "from sklearn.svm import LinearSVC\n",
    "\n",
    "# Import Logistic Regression model\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "# Import K-Nearest Neighbors (KNN) model\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "# Import Decision Tree classification Models\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "# Import Random Forest classification Models\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "from sklearn.metrics import accuracy_score, confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "bb9892fb-7e98-4b6c-b440-92ed782fa0dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "### We build a function to show a standardized confusion matrix\n",
    "def make_conf_mat(y_pred,y_test,title):\n",
    "    cf_matrix = confusion_matrix(y_test,y_pred)\n",
    "    group_names = ['True Neg','False Pos','False Neg','True Pos']\n",
    "    group_counts = ['{0:0.0f}'.format(value) for value in\n",
    "                    cf_matrix.flatten()]\n",
    "    group_percentages = ['{0:.2%}'.format(value) for value in\n",
    "                         cf_matrix.flatten()/np.sum(cf_matrix)]\n",
    "    labels = [f'{v1}\\n{v2}\\n{v3}' for v1, v2, v3 in\n",
    "              zip(group_names,group_counts,group_percentages)]\n",
    "    labels = np.asarray(labels).reshape(2,2)\n",
    "    ax = sns.heatmap(cf_matrix, annot=labels, fmt='', cmap='Blues')\n",
    "    plt.title(title, fontsize = 20) # title with fontsize 20\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c1eb4784-0e96-4dcc-8a7d-ae7d167a79c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The following dataframe will be used to store the results of each model\n",
    "MLResults = pd.DataFrame(columns = ['Model_Name', 'Accuracy', 'Recall', 'F1_Score'])\n",
    "Model_Name = ['GNB','BNB','SVC','LR','KNN','DTC','RFC']\n",
    "Model_Dict = {}\n",
    "for i in range(len(Model_Name)):\n",
    "    Model_Dict[Model_Name[i]] = i\n",
    "MLResults['Model_Name']=Model_Name"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "777dcd32-f82a-4467-b7b5-f6bf81604c36",
   "metadata": {},
   "source": [
    "#### Gaussian Naive Bayes model (GNB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "e3493f19-0a07-49af-a70a-351bbfd93f9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GaussianNB Accuracy: 0.8341085882476611\n",
      "GaussianNB Recall Score: 0.48498971898560655\n",
      "GaussianNB F1 Score: 0.35916958530023857\n",
      "GaussianNB Cross Validation Mean:  0.8365488612628077\n",
      "GaussianNB Cross Validation Std:  0.0006277372505428085\n",
      "*********************************************\n"
     ]
    }
   ],
   "source": [
    "gnb = GaussianNB()\n",
    "gnb.fit(x_train, y_train)\n",
    "y_pred_gnb = gnb.predict(x_test)\n",
    "\n",
    "gnb_csv = cross_val_score(estimator = gnb, X=x_train, y=y_train, cv=5)\n",
    "\n",
    "print('GaussianNB Accuracy:', accuracy_score(y_test, y_pred_gnb))\n",
    "print('GaussianNB Recall Score:', recall_score(y_test, y_pred_gnb))\n",
    "print('GaussianNB F1 Score:', f1_score(y_test, y_pred_gnb))\n",
    "\n",
    "print(\"GaussianNB Cross Validation Mean: \", gnb_csv.mean())\n",
    "print(\"GaussianNB Cross Validation Std: \", gnb_csv.std())\n",
    "print(\"*********************************************\")\n",
    "\n",
    "MLResults['Accuracy'][Model_Dict['GNB']] = accuracy_score(y_test, y_pred_gnb)\n",
    "MLResults['Recall'][Model_Dict['GNB']] = recall_score(y_test, y_pred_gnb)\n",
    "MLResults['F1_Score'][Model_Dict['GNB']] = f1_score(y_test, y_pred_gnb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "f304f6bf-cb63-4a4c-a2b7-113c27a62d1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_conf_mat(y_pred_gnb, y_test, 'Gaussian Naive Bayes Confusion Matrix')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9cbbf7c-8cf2-461c-b799-15037c69b974",
   "metadata": {},
   "source": [
    "#### Bernoulli Naive Bayes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "8433b1a9-fec9-42d1-b7df-a7e66dc3773d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BernoulliNB Accuracy: 0.8785477767265847\n",
      "BernoulliNB Recall Score: 0.2937628512679918\n",
      "BernoulliNB F1 Score: 0.3168009461157513\n",
      "BernoulliNB Cross Validation Mean:  0.8822194443711984\n",
      "BernoulliNB Cross Validation Std:  0.0010375841935700413\n",
      "*********************************************\n"
     ]
    }
   ],
   "source": [
    "bnb = BernoulliNB()\n",
    "bnb.fit(x_train, y_train)\n",
    "y_pred_bnb = bnb.predict(x_test)\n",
    "\n",
    "bnb_csv = cross_val_score(estimator = bnb, X=x_train, y=y_train, cv=5)\n",
    "\n",
    "print('BernoulliNB Accuracy:', accuracy_score(y_test,y_pred_bnb))\n",
    "print('BernoulliNB Recall Score:', recall_score(y_test,y_pred_bnb))\n",
    "print('BernoulliNB F1 Score:', f1_score(y_test,y_pred_bnb))\n",
    "\n",
    "print(\"BernoulliNB Cross Validation Mean: \", bnb_csv.mean())\n",
    "print(\"BernoulliNB Cross Validation Std: \", bnb_csv.std())\n",
    "print(\"*********************************************\")\n",
    "\n",
    "MLResults['Accuracy'][Model_Dict['BNB']] = accuracy_score(y_test,y_pred_bnb)\n",
    "MLResults['Recall'][Model_Dict['BNB']] = recall_score(y_test,y_pred_bnb)\n",
    "MLResults['F1_Score'][Model_Dict['BNB']] = f1_score(y_test,y_pred_bnb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "db091757-a57c-4440-bb80-742a0a13999d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_conf_mat(y_pred_bnb,y_test,'Bernoulli Naive Bayes Confusion Matrix')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed680783-6459-4115-8236-874da1f8f7e8",
   "metadata": {},
   "source": [
    "### SVC model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "4ae93e68-fadf-4d79-a561-589083e9e23d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LinearSVC accuracy:  0.9057605382108693\n",
      "LinearSVC recall score:  0.03838245373543523\n",
      "LinearSVC f1 score:  0.07242628039317123\n",
      "*********************************************\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\mikeb\\anaconda3\\lib\\site-packages\\sklearn\\svm\\_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "#Not getting conversion yet... increase the iterations \n",
    "svc = LinearSVC(max_iter=10000)\n",
    "\n",
    "svc.fit(x_train, y_train)\n",
    "y_pred_svc = svc.predict(x_test)\n",
    "\n",
    "print('LinearSVC accuracy: ', accuracy_score(y_test,y_pred_svc))\n",
    "print('LinearSVC recall score: ', recall_score(y_test,y_pred_svc))\n",
    "print('LinearSVC f1 score: ', f1_score(y_test,y_pred_svc))\n",
    "\n",
    "print(\"*********************************************\")\n",
    "\n",
    "MLResults['Accuracy'][Model_Dict['SVC']] = accuracy_score(y_test,y_pred_svc)\n",
    "MLResults['Recall'][Model_Dict['SVC']] = recall_score(y_test,y_pred_svc)\n",
    "MLResults['F1_Score'][Model_Dict['SVC']] = f1_score(y_test,y_pred_svc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "bd21a095-6354-4dbf-bbd8-1fc57ca6dea9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_conf_mat(y_pred_svc, y_test, 'LinearSVC Confusion Matrix')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "074449f1-f351-49d2-b266-6ba72b83d771",
   "metadata": {},
   "source": [
    "#### Logistic Regression Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "ddc016fb-4bd9-45cc-bec9-fc288087ce4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.905891937348891\n",
      "Recall:  0.10760795065113091\n",
      "F1 Score:  0.17979844251030688\n",
      "*********************************************\n"
     ]
    }
   ],
   "source": [
    "logr = LogisticRegression(random_state=1, max_iter=10000)\n",
    "\n",
    "# p_lr = [{\"penalty\" : [\"l1\",\"l2\"], \"solver\" : [\"newton-cg\", \"lbfgs\", \"liblinear\", \"sag\", \"saga\"],\n",
    "#              \"multi_class\" : [\"auto\",\"ovr\",\"multinomial\"]}]\n",
    "\n",
    "# grid_lr_acc = GridSearchCV(estimator=logr, param_grid=p_lr, scoring='accuracy', cv=4)\n",
    "# grid_lr_f1 = GridSearchCV(estimator=logr, param_grid=p_lr, scoring='f1', cv=4)\n",
    "logr.fit(x_train, y_train)\n",
    "y_pred_logr = logr.predict(x_test)\n",
    "\n",
    "# grid_search_lr_acc = grid_lr_acc.fit(x_train, y_train)\n",
    "# y_pred_lr_acc = grid_search_lr_acc.predict(x_test)\n",
    "\n",
    "# grid_search_lr_f1 = grid_lr_f1.fit(x_train, y_train)\n",
    "# y_pred_lr_f1 = grid_search_lr_f1.predict(x_test)\n",
    "\n",
    "# best_params_grid_lr_acc = grid_search_lr_acc.best_params_\n",
    "# best_params_grid_lr_f1 = grid_search_lr_f1.best_params_\n",
    "\n",
    "# best_score_grid_lr_acc = grid_search_lr_acc.best_score_\n",
    "# best_score_grid_lr_f1 = grid_search_lr_f1.best_score_\n",
    "\n",
    "\n",
    "print('Accuracy: ', accuracy_score(y_test,y_pred_logr))\n",
    "print('Recall: ', recall_score(y_test,y_pred_logr))\n",
    "print('F1 Score: ', f1_score(y_test,y_pred_logr))\n",
    "\n",
    "print(\"*********************************************\")\n",
    "\n",
    "MLResults['Accuracy'][Model_Dict['LR']] = accuracy_score(y_test,y_pred_logr)\n",
    "MLResults['Recall'][Model_Dict['LR']] = recall_score(y_test,y_pred_logr)\n",
    "MLResults['F1_Score'][Model_Dict['LR']] = f1_score(y_test,y_pred_logr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "743eb57c-64dd-451a-8c75-fb8d603eaa71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_conf_mat(y_pred_logr,y_test,'Logarithmic Regression Confusion Matrix')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "959cc78b-c776-44ae-97fa-f9eb1baae967",
   "metadata": {},
   "source": [
    "#### KNN Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "b215336c-7700-4896-ac3a-8e9e54601917",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KNN accuracy:  0.9030274361400189\n",
      "KNN recall:  0.05044551062371487\n",
      "KNN F1 score:  0.09068506653523903\n",
      "*********************************************\n"
     ]
    }
   ],
   "source": [
    "knn = KNeighborsClassifier(n_neighbors = 10)\n",
    "knn.fit(x_train, y_train)\n",
    "y_pred_knn = knn.predict(x_test)\n",
    "\n",
    "knn_acc = accuracy_score(y_test,y_pred_knn)\n",
    "knn_recall = recall_score(y_test,y_pred_knn)\n",
    "knn_f1 = f1_score(y_test,y_pred_knn)\n",
    "\n",
    "print('KNN accuracy: ', knn_acc)\n",
    "print('KNN recall: ', knn_recall)\n",
    "print('KNN F1 score: ', knn_f1)\n",
    "\n",
    "print(\"*********************************************\")\n",
    "\n",
    "MLResults['Accuracy'][Model_Dict['KNN']] = knn_acc\n",
    "MLResults['Recall'][Model_Dict['KNN']] = knn_recall\n",
    "MLResults['F1_Score'][Model_Dict['KNN']] = knn_f1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "ea69ec05-f6b2-4265-9fdf-effeba5bf341",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_conf_mat(y_pred_knn,y_test,'KNN Confusion Matrix')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54d23b2a-f033-4b74-8d02-6d8ca9a0d9f0",
   "metadata": {},
   "source": [
    "#### Decision Tree Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "cc6b9d95-4a4a-43ff-9201-40d050cf1e59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.8704535898244508\n",
      "Recall:  0.21795750514050719\n",
      "F1 Score:  0.24388373341513916\n",
      "*********************************************\n"
     ]
    }
   ],
   "source": [
    "tree = DecisionTreeClassifier(random_state=2)\n",
    "\n",
    "tree.fit(x_train,y_train)\n",
    "y_pred_tree = tree.predict(x_test)\n",
    "\n",
    "tree_acc = accuracy_score(y_test,y_pred_tree)\n",
    "tree_recall = recall_score(y_test,y_pred_tree)\n",
    "tree_f1 = f1_score(y_test,y_pred_tree)\n",
    "\n",
    "print('Accuracy: ', tree_acc)\n",
    "print('Recall: ', tree_recall)\n",
    "print('F1 Score: ', tree_f1)\n",
    "\n",
    "print(\"*********************************************\")\n",
    "\n",
    "MLResults['Accuracy'][Model_Dict['DTC']] = tree_acc\n",
    "MLResults['Recall'][Model_Dict['DTC']] = tree_recall                      \n",
    "MLResults['F1_Score'][Model_Dict['DTC']] = tree_f1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "a3b9b952-71e7-4122-98e9-2ddf07eb7285",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_conf_mat(y_pred_tree, y_test, 'Decision Tree Confusion Matrix')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27dad653-5ec2-4024-9af9-e1977acebd9f",
   "metadata": {},
   "source": [
    "#### Random Forest Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "04f72f8f-7115-4473-8596-471168aff630",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score:  0.8948149900136655\n",
      "Recall score:  0.1421521590130226\n",
      "F1 score:  0.2057743823792043\n",
      "*********************************************\n"
     ]
    }
   ],
   "source": [
    "forest = RandomForestClassifier()\n",
    "forest.fit(x_train,y_train)\n",
    "y_pred_forest = forest.predict(x_test)\n",
    "\n",
    "forest_acc = accuracy_score(y_test,y_pred_forest)\n",
    "forest_recall = recall_score(y_test,y_pred_forest)\n",
    "forest_f1 = f1_score(y_test,y_pred_forest)\n",
    "\n",
    "print('Accuracy score: ', forest_acc)\n",
    "print('Recall score: ', forest_recall)\n",
    "print('F1 score: ', forest_f1)\n",
    "\n",
    "print(\"*********************************************\")\n",
    "\n",
    "MLResults['Accuracy'][Model_Dict['RFC']] = forest_acc\n",
    "MLResults['Recall'][Model_Dict['RFC']] = forest_recall\n",
    "MLResults['F1_Score'][Model_Dict['RFC']] = forest_f1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "01cc35b8-82f5-4615-a972-6240a8c6bb52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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sGuiVUsrLaaBXSikvp4FeKaW8XG75tZckAm8eoGeI1RXObJ6U01VQuVBQQMZ+yjQ98SZq2//y5M+m5spAr5RS2Ua8v2NDA71Syrdl7AtBnqCBXinl27RFr5RSXk5b9Eop5eX8suznBnINDfRKKd+mXTdKKeXltOtGKaW8nLbolVLKy2mLXimlvJy26JVSysvpqBullPJy2qJXSikv56d99Eop5d20Ra+UUl5OR90opZSX05OxSinl5bTrRimlvJx23SillJfzgRa992+hUkqlRsTzyaPFSVERmSciu0Vkl4jcJiIhIrJKRPbaj8Vc8g8VkX0iskdEWrqk1xORP+1574tYFRCR/CIyx07fJCIV0qqTBnqllG8TP88nz7wHrDDGVAPqALuAIcAaY0xlYI39GhGpDnQFagCtgA9FJOHs8GSgD1DZnlrZ6b2BCGNMJeAdYEJaFdJAr5TybX7+nk9pEJEiwF3AVABjzCVjzFmgLTDDzjYDaGc/bwt8ZYyJMcbsB/YBDUWkNFDEGLPBGGOAmcnKJCxrHtAsobWf4iZ68DYopZT3ytwW/fXAKWCaiGwTkU9FpCBQyhhzDMB+LGnnDwUOu5QPs9NC7efJ05OUMcY4gXNA8dQqpYFeKeXb0tFHLyJ9RGSry9Qn2dIcQF1gsjHmZuAidjdNSmt3k2ZSSU+tTIp01I1SyrelY9SNMWYKMCWVLGFAmDFmk/16HlagPyEipY0xx+xumZMu+cu5lC8LHLXTy7pJdy0TJiIOIBgIT63e2qJXSvm2TBx1Y4w5DhwWkap2UjNgJ7AY6Gmn9QQW2c8XA13tkTQVsU66bra7d86LyK12//sjycokLKsjsNbux0+RtuiVUr4t88fRDwS+EJF8wL/Ao1iN6rki0hs4BHQCMMbsEJG5WAcDJ9DfGBNnL6cfMB0IBJbbE1gnemeJyD6slnzXtCqkgV4p5dPEL3MDvTFmO1DfzaxmKeQfC4x1k74VqOkmPRr7QOEpDfRKKZ+WxshEr6CBXinl27w/zmugV0r5Nm3RK6WUl9NAr5RSXs4vk0/G5kYa6JVSvs37G/Qa6JVSvk27bpRSystpoFdKKS+ngV4ppbycBnrlkZDggiz7eCAApYoXIT4+nlMRFwC48+E3iXXGpVbcIys/eYaCQfm5o/sbANStfh3jn21Pyyfey/CyVdapV7s6lSpXSXz9zvv/o0xoWbd5b29Ql1+2/Jah9Y0YPoRft26hUKHC+Pn5MWT4K9S56eYMLdPbiZ8GeuWB8HMXubXr6wAM79uai5ExvDtrTeJ8f38/4uLiM7yeksUKcU+j6nz3884ML0tlj/z5CzDnm4XZus5Bz79Ii3taseHnnxg7eiRzFyzO1vXnNdqiV1dtyuiHifgvkjpVy7J992HOX4xJcgDY+vUwHnz6Iw4dC6dr6wb0f+huAgIcbPnzAM+Mn0N8/JV3HX1n5hqGPN7yikDv5yeMebotd9WvTL4ABx/PXc/Ub35GRHhnSCfurFeZA0fO4OcnzFy0gQWrt2fHW6DciIy8yLMD+/Pff//hdMby1MBBNGma9F5Xp06dZPALz3HxwgXi4uIY9spI6tarz4aff2Lyh5OIvRRL2XLlGD1mHEFBBVNcV936DTh8+BAAs2ZMY9GC+QC079CR7j16EhUZyUvPP8uJE8eJj4/nib79aHlv66zb+FxKA73KkErXlaT1k5OIjzcM7+v+H6hqxVJ0vKcuTR59G6cznneHdqZr6wbMXrr5iryb/tjPA01qc1f9ylyIjElM79Xuds5diOKOh98kX4CDtdOfY/WG3dStXo7yZYpTv9M4SoYUYtv8V5i5aEOWba+6UkxMNF06tAMgNLQsb7z9Lm+99z8KFSpEREQEPbt1oXGTpkmCzfJvl3L77XfweN8niYuLIzo6ioiICD6Z8hEffzKNwKAgpk39hFkzptO3X/8U171+3fdUqlyFnTv+YvHC+cyaPQeDocdDXahXvwFhYYcpUbIkkyZ/DMD58+ez9L3Itbw/zmugz0rzV29z2zJ31aRhVepWv46fPn8JgMD8AZwKv5Bi/tc/XcmQx1vx8vuLEtOa31aNmpVDad/c6osNLlSASteV4PabbmD+qm0YYzhx5jzrt/ydCVul0iN5101sbCz/e+9tftu6FfHz4+TJE5w5c5prrimRmKdGzVqMfmU4TmcsTZo1p2q1G/l1y/fs/2cfvXp0S1xO7To3uV3nu2+9yacff0SxYiGMfHUMmzdupEmzFgQGBQHQtHkLfvt1K43uuJN3Jr7Be29P5M67G1O3nrs763o/bdGrDImMutzqdsbF4edy0qdAvgDA2sk+X7KJEZM860f9YcvfjHzqPhrWqpCYJiI8N+FrVm/YlSTvvXfWyEDtVVZY/u0SIsIj+GLuNwQEBND6nqZciolJkqde/QZ8OmMWP63/gZeHvsQjvXpTJLgIt9x2O6+/+Xaa60joo0+waaP7b3HlK1Rk9txv+Gn9eia9+za33t4o1W8I3soXAr333+Qhlzh4NJybbrR+GvKmamWpEGr9aPv3m/fQvvlNlChWCIBiRYK4rnSxVJc1YepKnuvZPPH1ql920afTHTgc1sdZ6bqSBBXIxy/b/qVds5sQEUqGFObO+pWzYtNUOlw4f4FixUMICAhgy+aNHDt69Io8R48eISSkOA927Ey7Bzuye9dOatW+id+3bePQoYMAREVFcfDAfo/WWbdefdatWU1UVBRRkZF8v2Y1devV5+TJExQoEMh99z/AI70eY/cu3zzJ7+fn5/GUV2mLPpssXLOd7m0asvGrIfy64yB7D1q/Dbz73+OM/mApSyYPwE+EWGccz74+l0PHIlJc1sqfdiYO3wSYtuAXypcJYcPsIYjA6YgLdH5uCgvWbKfxLVX5dd4w9h08yZa/DnDufHSWb6tK2b1t7ueZAU/SrXMHqla7kYoVr78iz9Ytm5k57TMcDgdBQUG8Nm4CISEhjB47nqEvPk/spUsAPPX0IMpXqJjmOm+sXoP727Wnx0OdAetkbLUbq/PLzz/y7sQ3ET8/HA4Hw14Zmbkbm1d4f4MeSeM3ZXNE4M0Dcl+l8qiCgfm4GHWJkOCC/DjrBZo++jYnzuTNk25nNk/K6SqoXCgoIGN9L6H9Fngcb45Mbp8nDwvaovdy89/vR3DhQPIF+DP+kxV5NsgrlVV8oY9eA72X0ytnlUqdBnqllPJyegsElSmCCwUyeWQ3qt9QGmPgydFfMKBbYypXKAVA0cKBnD0flXgbhRceu4debW8jLj6e59+YlzhsMsDhzztDOnNX/crEx8cz6oOlLFyznacfbkqv9rfhdMZzOuICT47+PNWTuSr3GfXyMNavX0dISHHmLVwCwODnn+WAPbLm/Pn/KFy4SJIx+ceOHaXDA2148qn+PPJoby5evMBjjzycOP/kieO0bvMALw4Zlq3bktdoi15liokvdeS7X3bS7cWpBDj8CSqQjx5DpiXOf/259py7EAVAteuvpVPLutTtOJbSJYJZ9tEAarV7lfh4w+DHW3Iq/Dy1272KiBASbF0As333YRp1/5Go6Fie6HQHY59pl2T5Kve7v117unTrzivDhiSmTXjrncTnb735OoUKFU5SZuKE8TS6887E1wULFkpyIOjW+UGaNm+RdZX2Er4Q6PPuwNA8onDBAtxR9wamL7AuWol1xiUG9QQdWtRl7opfAWjTuDZfr/yNS7FODh49wz+HT9OgZgUAera9jTc/+w4AYwxnzl4EYP3WvURFxwKw+Y8DhJYqmg1bpjJTvfoNCA4OdjvPGMOqFSto1fq+xLTv16ymbNly3HBDJbdlDh48QPiZcJ+92jU9RMTjycPlHRCRP0Vku4hstdNCRGSViOy1H4u55B8qIvtEZI+ItHRJr2cvZ5+IvC92BUQkv4jMsdM3iUiFtOqU6YFeRKqJyGC7Yu/Zz2/M7PXkFRVDi3M64gJTRj/Mhi8H8+GIbgQVyJc4v1HdGzgRfp5/Dp0CILREMGHHL3e7HDkZQZmSwQQXCgRgZP82/DJ7MF+88RglQ5K28AB6tbuNlXp3S6/y269bCSlenPLlKwAQFRnJtM8+oe9TKV/FumLZt9zT6l6faK1mmKRj8lwTY8xNxpiEI+0QYI0xpjKwxn6NiFQHugI1gFbAhyLib5eZDPQBKttTwuXOvYEIY0wl4B1gQlqVydRALyKDga+w3pLNwBb7+ZciMiSNsn1EZKuIbHWe3pGZ1cpRDoc/N1Urxydf/8htD00gMiqGFx67/HW6c6v6fL1i6+UCbv4xjQGHw4+y1xZjw/Z/ub3bBDb9cYDxz7ZPkq9r6wbUrX4d78xYc8UyVN61Ytm3SVrzkz+YxMM9eqV658qVy5clKaNSltkt+hS0BWbYz2cA7VzSvzLGxBhj9gP7gIYiUhooYozZYKyLnWYmK5OwrHlAM0mjcpndR98bqGGMiXVNFJG3gR3A6ykVNMZMAaaAd10wdeREBEdOnmXLX9al6wtWb+f5R61A7+/vR9umdWjU7Y3L+U+epey1l2+BEFqyGMdOnePM2YtcjIph0drfAZi/6jd6trstMV+TW6oyuHdL7nn8XS7FOrNj01Q2cDqdrF29itlzv0lM++vPP1i9aiXvvv0m58+fx0/8yJc/P127WSdi9+zeTVyck+o1auZUtfMUv8wfdWOA70TEAB/bsa2UMeYYgDHmmIiUtPOGAhtdyobZabH28+TpCWUO28tyisg5oDhwOqUKZXagjwfKAAeTpZe25/mcE2fOE3Y8gsrlS7L34EkaN6zK7n+PA9D0lqr8feAER06eTcz/7bo/mD6+F+/PWkvpEsFUuq4EW/46AMCy9X9xV/3K/LDlb3s5xwCoU7Us/xvelQcGfJjk1ggq79u0cQMVrq9IqWuvTUz7bOYXic8/+mASQUFBiUEeYMXyb2l1r7bmPZWelrqI9MHqTkkwxQ7krhoZY47awXyViOxObZFu0kwq6amVSVFmB/pBwBoR2Yt9xAGuAyoBAzJ5XXnGcxO+Ztq4XuRz+HPgyGn6jPwcgE4t6yWehE2w69/jfPPdNrZ9MxxnXDyDXp+beKvjl99byNQxPXnzhQ6cjrhA31HWcsY9246CQfn54o3eABw+HkGnQR9n4xaqjBry4nP8umULZ89G0LLZ3Tz51EDad+jIyuXf0ureNula1qqVy5n0YfLYo1KSnh4Z156HVPIctR9PisgCoCFwQkRK26350sBJO3sYUM6leFngqJ1e1k26a5kwEXEAwUB4anXK9HvdiIgf1oaFYh15woAtxhiPfzjVm7puVObRe90odzJ6r5uqg1d6HG/2TGiZ6rpEpCDgZ4w5bz9fBbwKNAPOGGNet89XhhhjXhKRGsBsrJhZButEbWVjTJyIbAEGApuAZcAkY8wyEekP1DLGPCkiXYEHjTGdU6tXpo+jN8bEk7TPSSmlcq1MHphUClhgdwc5gNnGmBV20J4rIr2BQ0AnAGPMDhGZC+wEnEB/l0ZxP2A6EAgstyeAqcAsEdmH1ZLvmlal9IIppZRPy8yTscaYf4E6btLPYLXq3ZUZC4x1k74VuOKMujEmGvtA4SkN9FlkYPcm9Gp/O8YYduw7Sp+Rn1O1QikmDe9K/vwBVv/7uDls3ZH8vDV8NLI7995Vk1Ph56nfaVxi+rhB7Wh9V00uxcaxP8zq6z93IYrb6lzPe8O6cCnWySNDp/Hv4dMEFwpk1oTHeKD/B9m52cpDx48d45Vhgzlz+jTi50eHjp3p1uORJHm+X7uGyZPeQ/z88Pf358Uhw7i5bj0Afv7pR958fSzxcfG069CRxx63zg++9/ZEfv5xPVWq3ciY8dbw6qWLF/HfuXNXLF9ZsmDUTa6jV8ZmgTIlgnnqobtp1P0N6ncah7+fH51a1mPsoHaMnbKcW7u+zmuTlzJ2UDu35Wct2UhbNwF6zcbd1Os0joZdxrP34ElefOweAJ7p0ZSHXvyUEZOW0KeTdUn80D6teOOzlVm2jSpj/B3+PPfiYOYvWcbM2V8x56sv+OeffUny3HLrrcyZv4g53yxk1GvjeHXkywDExcXx+phX+d/kT/hm8VJWLPuWf/7Zx/nz5/l9+zbmLlhMfHwce//eQ3R0NEsWLaBT14dyYjPzBBHPp7xKA30Wcfj7E5g/AH9/PwIL5OPYqXMYA0UKFgCsG50dO3XObdmff/uH8HORV6Sv2bibuDhrlOrmP/cn3uog1hlHYP4AggIDiHXGUbHsNZQpWZSfft13xTJU7lCiRElurG79pm/BgoWoeP0NnDpxIkmeoKCCiUP/oqIiEXtU3V9//kG5666jbLlyBATko+W9rVm3dg1+fkJsbCzGGGKiY3A4ApgxbSpdu/cgICAgezcwD8mmC6ZylHbdZIGjp87x7sw1/L38NaJiLrFmw27WbNxN2IkIlnzQn/HPtsfPT2jS662rXscjbW9j3ne/AfDmZ9/xwcsPERUTS++XZzL+ufaM/nBpZm2OymJHj4SxZ9cuata+omuXtatXMem9twk/E877H34EwMmTJyh1benEPKVKXctff/5OwYKFaNbiHrp2bE/DW2+lUOFC7PzrT5/8we/0yMsB3FMa6LNA0cKBtGlcixvbjOTs+Uhmv9Gbrq0b0KBmeV56az4L12ynQ4ubmTyyO/c9+b90L/+l3i2Ji4vnq2VbAPjj7yPc3dM6aDSqewPHTp1DEGa9/iixzjiGvL2Ak+H6y1K5UWTkRV549mleGDyUQoUKXTG/afMWNG3egl+3buHD/73Px59Oc39pjB2sej32OL0eexyA0SNept+Ap5k/72s2bviZylWq8kTfflm5OXmSD8R57brJCk1vqcaBo2c4HXEBpzOehWt/59Y6Fene5hYWrtkOwDertlG/Rvl0L7v7/bfQ+q6a9Bo+3e38IY+3YvyU5Qzvey+vfbSML5dt4amHGl/9xqgsExsbywuDnube++6nWYt7Us1br34Dwg4fIiIigpKlSnHi+LHEeSdOHKdEiZJJ8u/eZd3Yrnz5Cixdsog33nqXfXv3cvDggUzfjrzOz088nvIqDfRZ4PDxcBrWqkhgAatftEnDquzZf4Jjp85xZ73KADRuWIV99h0rPdXi9ht5vldzOg76OPG2xK4evv8WVvy4g7PnowgqkI/4eEN8vCGogPbP5jbGGEaPeJmK199Aj56Pus1z6NBBEi5o3LVzB7GxsRQtWpQaNWtx6NBBjoSFERt7iZXLl9G4SdMkZT+c9B79BgzE6XQSH2cNy/bzE6KjorN2w/Ig7aNXV2XLXwdZsHobG2YPxhkXz++7w5j6zc/8vvswb77YEYfDj5gYJwPGfAlA6RLBfDiiG+0HTgZgxvhe3FmvMtcULcS+Fa/x2kfLmLFwA+8M7kz+fA6WTrbuJrH5zwM8PfYrAAILBPDw/bfQ5imrK+j9z9fy5cTHuRTrpOfQ6dn/JqhUbd/2G98uWUTlylXo0qEdAAOeeZbjx6yWeqcuXVmz6juWLl6Ew+Egf4H8TJj4DiKCw+Fg8LBXeKpvb+Lj4mnbvgM3VKqcuOzv16ymRs1alCxp/YJZ7To30an9/VSuUpWq1apl+7bmdnk4fnss02+BkBn0FgjKHb0FgnIno7dAaDB2ncfxZsvwxnnysKAteqWUT/OFFr0GeqWUT8vLfe+e0kCvlPJpeXk0jac00CulfJoPNOg10CulfJt23SillJfzgTivgV4p5du0Ra+UUl5OA71SSnk5HXWjlFJezgca9BrolVK+TbtulFLKy/lAnNdAr5TybX4+EOk10CulfJqejFVKKS/nA3Fef2FKKeXbsuIXpkTEX0S2ichS+3WIiKwSkb32YzGXvENFZJ+I7BGRli7p9UTkT3ve+2JXQETyi8gcO32TiFRIqz4a6JVSPk3E8ykdngF2ubweAqwxxlQG1tivEZHqQFegBtAK+FBE/O0yk4E+QGV7amWn9wYijDGVgHeACWlVRgO9UsqnSTr+PFqeSFngPuBTl+S2wAz7+QygnUv6V8aYGGPMfmAf0FBESgNFjDEbjPUzgDOTlUlY1jygmaTxdUMDvVLKp/mJ55OI9BGRrS5THzeLfBd4CYh3SStljDkGYD+WtNNDgcMu+cLstFD7efL0JGWMMU7gHFA8tW3Uk7FKKZ+WnlE3xpgpwJSU5otIG+CkMeZXEWnswSLdrdykkp5amRRpoFdK+bRMHkffCHhARFoDBYAiIvI5cEJEShtjjtndMift/GFAOZfyZYGjdnpZN+muZcJExAEEA+GpVUq7bpRSPi0zT8YaY4YaY8oaYypgnWRda4x5GFgM9LSz9QQW2c8XA13tkTQVsU66bra7d86LyK12//sjycokLKujvQ5t0SulVEqy6V43rwNzRaQ3cAjoBGCM2SEic4GdgBPob4yJs8v0A6YDgcByewKYCswSkX1YLfmuaa1cA71SyqdlVZw3xqwD1tnPzwDNUsg3FhjrJn0rUNNNejT2gcJTGuiVUj7NX+91o5RS3k1vU6yUUl7OF+51o4FeKeXTtEWvlFJezgfivAZ6pZRv0xa9Ukp5OX8f6KTXQK+U8mneH+Y10CulfJz+ZqxSSnk5H4jzGuiVUr5NT8YqpZSX84E4r4FeKeXbdNSNUkp5Oe26ySH7f3gnp6ugciFfGB2hsp8v/PpSrgz0SimVXbRFr5RSXs4Huug10CulfJuejFVKKS/nA3FeA71Syrf5QBe9BnqllG/zhdFcGuiVUj5Nh1cqpZSX84EGvQZ6pZRv84VRN77wrUUppVLkJ55PaRGRAiKyWUR+F5EdIjLaTg8RkVUistd+LOZSZqiI7BORPSLS0iW9noj8ac97X+wru0Qkv4jMsdM3iUiFNLfxKt4XpZTyGn4iHk8eiAGaGmPqADcBrUTkVmAIsMYYUxlYY79GRKoDXYEaQCvgQxHxt5c1GegDVLanVnZ6byDCGFMJeAeYkOY2elJzpZTyViKeT2kxlgv2ywB7MkBbYIadPgNoZz9vC3xljIkxxuwH9gENRaQ0UMQYs8EYY4CZycokLGse0EzSuI+DBnqllE9LT9eNiPQRka0uU5/kyxMRfxHZDpwEVhljNgGljDHHAOzHknb2UOCwS/EwOy3Ufp48PUkZY4wTOAcUT20b9WSsUsqnSTp+HtwYMwWYkkaeOOAmESkKLBCRmqmu3s0iUklPrUyKNNArpXyaI4v6NYwxZ0VkHVbf+gkRKW2MOWZ3y5y0s4UB5VyKlQWO2ull3aS7lgkTEQcQDISnVhftulFK+TQR8XjyYFkl7JY8IhIINAd2A4uBnna2nsAi+/lioKs9kqYi1knXzXb3znkRudXuf38kWZmEZXUE1tr9+CnSFr1Syqdl8jD60sAMe+SMHzDXGLNURDYAc0WkN3AI6ARgjNkhInOBnYAT6G93/QD0A6YDgcByewKYCswSkX1YLfmuaVVK0jgQ5Ijj/8XmvkqpHFc0KCCnq6ByoQKOdHSyu/H2+n89jjfP3XV9nry6Slv0Simfpjc1U0opL+fvA2cqNdArpXyaX8Z6fvIEDfRKKZ/mAz03GuiVUr7NB25eqYFeKeXb9GSsUkp5OR+I8xrolVK+zRd+eEQDvVLKp/nA6EoN9Eop3+bJPWzyOg30Simf5v1hXgO9UsrH6agbpZTyct4f5jXQK6V8nJ+OulFKKe+mo26UUsrL6agbpZTyct4f5jXQK6V8nLbolVLKy/lroFdKKe/m/WFeA32GNbmlNtffUDnx9ZiJ71O6TKjbvK3uasCK9VsytL7xo4azdfMGvly4gnz58nH2bAR9H+nCnMXfZWi5KuucPRtBn8d6AXD69Gn8/P0IKRYCwBdffU1AvnwZXkfvXj04deok+fPlJygoiNFjxlGh4vUZXq4v8IEGvQb6jMqfPz9TZ3+Trev08/Nj2eL5tOvYNVvXq65O0aLFmDt/EQCTP5hEUFAQPR/tnTjf6XTicGT8X3H8hInUqFmLeXPn8PbEN3j/g48yvExfoD8lqNItMjKS4c8P5Pz5/3A6nTzebyB33N00SZ4zp08xatgLRF64QFxcHM8OeYU6N9djy8af+WzKh8ReukSZsuUYMmIMQUFBV6yj40M9+PrLWbRp1/GKeV/O+ozvV60kNvYSdzZuxmN9BwAw49OPWL3iW0qUKkVw0WJUrVadrj0ezZo3QaXplWFDKBIczO5dO7mxeg0KFiyY5ADwYNs2TPrwI0JDy7J0ySJmfz4LZ2wsNWvXYfgrI/H3909x2fXq1+eLWTMwxvDOW2/w048/IiI80bcfre5tzalTJ3np+We5eOECzrg4Xh4xirr16mfXpuc62qJXaYqJiaF3tw4AXBsayujxbzPmzfcoWKgQZ89G8NSj3Wh0V5MkZ/ZXr/iWhrfeTo/H+hIXF0dMdDRnz0Yw87MpvP3BJwQGBjF7xlTmfjGDXk/0u2Kdpa4tTa06N/PdsiXcflfjxPQtG38m7NAhPp7xFcYYhj0/gN9/20r+AgVYv3YVn37+NXFxcTzeoxNVq1XP8vdGpe7gwQNMmTodf39/Jn8wyW2ef//5h5XLlzPj8y8JCAhg7KujWLZ0Cfe3bZficn9Y9z2VqlRhzarv2LN7N1/PX8TZiAi6delIvfr1WfbtUm5vdAdP9O1HXFwc0dFRWbOBeYRoi16lJXnXjdMZyycfvsfv27biJ36cOnWS8DNnKH7NNYl5qlWvyYTXXsHpdHLH3c2oXLUa23/cwsF//2FA7x4AxDpjqVGrTorrffjRPgx7fgC33XFXYtqWjb+wddMvPN7daulHRUUSdvggkRcjaXR3E/IXKADA7Xc2zsy3QF2le+5plWrLHGDTxg3s2vkX3btYn2l0TDQhxYu7zTt08AsUyF+AMqGhDBn2CrNmTKNV6/vw9/en+DXXUK9BA3b8+Sc1a9Zi5MvDcDqdNGnanGo33pjp25aXZOaoGxEpB8wErgXigSnGmPdEJASYA1QADgCdjTERdpmhQG8gDnjaGLPSTq8HTAcCgWXAM8YYIyL57XXUA84AXYwxB1Krlwb6TLZq+becjQjnk1lzcTgC6PLAPVy6FJMkT5269Xl/ygw2/LSesSOH0rVHLwoXDqbeLbcxcuybHq2nbLnrqFSlGt+vXpmYZgx07/U4DzzYOUneubNnZnzDVKYLDAxMfO7v7098fHzi60sx1j5jMNzftj3PPPt8mstL6KNPYIxxm69e/QZ8NvNzfvzhB4YPfYlej/ZO9RuCt8vkrhsn8Lwx5jcRKQz8KiKrgF7AGmPM6yIyBBgCDBaR6kBXoAZQBlgtIlWMMXHAZKAPsBEr0LcClmMdFCKMMZVEpCswAeiSWqV84TYP2erihfMUDSmOwxHAb1s3c/zY0SvyHD92lKLFQri/fUfue+BB9u7eRY1atfnr922EHT4EQHR0FIcPHkh1XT0e7cOcz6cnvm542+0sW7yAyMhIAE6dPEFE+Blq1bmZX378gZiYGCIjI9n40/pM216VOcqEhrJr104Adu3cwZEjYQDccsttrP5uJWfOnAHg3NmzHD16xKNl1q3fgJXLlxMXF0d4eDi/bd1KzVq1OXr0CCEhxenQqTPtH+zArp07smaj8ggRz6e0GGOOGWN+s5+fB3YBoUBbYIadbQbQzn7eFvjKGBNjjNkP7AMaikhpoIgxZoOxjtgzk5VJWNY8oJmkcdWXtugzWfN72zD0uQH0eaQzlapU47oKFa/Is/3XLXw1axr+DgeBQUEMHzWOosVCGDpyLK8Of5HY2EsAPP7k05QrXyHFdVW8oRKVq97I3j27AGhwayMO7v+Xpx7rDkBgUBAvvzqeG2vUotFdjendrQOlSpem6o01KFiocOZvvLpqzVu0ZMniRXR+sC01ataifIUKANxQqRL9nx5EvyceI97E43AEMOzlEZRJYQivq2bNW/DH79vo9GBbRIRBz7/INSVKsHjhAqZPm4rD4SAoKIgx4ydk8dblbunpoxeRPlit7ARTjDFTUshbAbgZ2ASUMsYcA+tgICIl7WyhWC32BGF2Wqz9PHl6QpnD9rKcInIOKA6cTrHeKX29y0nH/4vNfZXK4yIjIwkKCiI6Ooqn+/TkhWGjqJLHTsgWDQrI6SqoXKiAI2NnU9fsPu1xvGlW7RqP1iUihYAfgLHGmPkictYYU9RlfoQxppiIfABsMMZ8bqdPxeqmOQSMN8Y0t9PvBF4yxtwvIjuAlsaYMHveP0BDY8yZlOqjLXofMXHcKA7++w+XLl2i5X0P5Lkgr1RWyexfmBKRAOAb4AtjzHw7+YSIlLZb86WBk3Z6GFDOpXhZ4KidXtZNumuZMBFxAMFAeGp10kDvI0aMeSOnq6BUrpSZwyvtvvKpwC5jzNsusxYDPYHX7cdFLumzReRtrJOxlYHNxpg4ETkvIrdidf08AkxKtqwNQEdgrUmja0YDfQ44f/4/3hwzkv3/7AOBwa+8xo/fr+aXH3/AEeBIvFiqcOEiHDt6hEc6P8B111UAoHqt2jw/dCQAq1cu4/NpnyAC11xTkuGvvU7RosVycMvU1Rrx8lDW/7COkJDizF+0FLBOvL70wrMcPXKEMqGhvPnWuxQJDubPP/7gtVGvANbImif7D6RZ8xZcvHiBR3t0T1zmiRPHua/NA7w0dHiObFNekck/MNUI6AH8KSLb7bRhWAF+roj0xuqW6QRgjNkhInOBnVgjdvrbI24A+nF5eOVyewLrQDJLRPZhteTTvERe++hzwLhRw6h9U13atOtIbGws0dFR7N7xJzfXvwWHw8FHk6yGwJMDn+PY0SMMfbY/0+csTLIMp9NJh9ZNmTF3EUWLFmPy+29RoEABHu3TPwe2KHt4cx/9r1u3EBQUxPChgxMD/TsT36BIcFF6P9GHqZ9M4b//zvHs8y8SFRVFQEAADoeDU6dO0unBtqz+/scrbqPQtdODvDh4KPXqN8iJTco2Ge2j//HvCI/jzZ1ViuXJq6t0eGU2u3jhAr9v+5X72lpX0wYEBFC4cBEa3Noo8R+1es3anDpxIo0lGYwxREdFYYwh8uIFil9TMo0yKreqV78BRYKDk6R9//0aHmjXDoAH2rXj+7WrAWv8fcK+EhMT4/Z+6gcPHiA8/IxP39rAU5k5vDK30q6bbHb0SBhFixbj9dEvs2/vHqreWJ2Bzw8hMPDyPW2WLV5A0xatEl8fO3qE3t07UrBgIXr3G0idm+vhcATw3JBXePSh9hQoEEjZ68oz6KWXc2KTVBYJP3OGEiWsg3eJEiUJD798vu2PP35n5MvDOHb0KGNff+OK1vzyb5fSslVrn/hRjYzyhXcoW1v0IpLiXbREpI+IbBWRrbOmfZqd1cpWcXFO9u7ZRduOXZj6xTwKFAhk9vSpifNnffYx/g5/WtzbBoDi15Rg7pJVTP1iHv2ffZHXXn7JuhmVM5ZF8+bw6edfM3/599xQqQpfTPfe900lVbt2HRYs/pbZc+Yx9ZOPiYlJevX1yuXLuLf1fTlUu7zFX8TjKa/K7q6b0SnNMMZMMcbUN8bU7/Ho49lZp2xVouS1lChZiuo1awNwd7N7+HuPdUXkiqWL+OWn9bzy2oTElli+fPkILloUgKo31iC0bDkOHzrA3j27AQgtex0iQpPmLfnrj+3Zvj0q64QUL86pU9YovFOnThISEnJFnutvuIHAwED27f07MW3P7t044+KoXqNmttU1T5N0THlUpgd6EfkjhelPoFRmry+vKX7NNZQodS2HDuwH4LctG6lQ8QY2/fITs2dOZfxbkyhQ4PI9UM5GhBMXZ52EPxp2mLDDhygTWo4SJUtxYP8/nI2wvs5v3bSB8hX0hya8SeMmTVm8cCEAixcupEmTZgCEhR3G6XQCcPToEQ4e2E+Z0MtXyi5ftlRb8+kg6fjLqzJ91I2InABaAhHJZwG/GGPKpLUMbx91s3fPbt4cO4LY2FjKhJZjyIjX6NuzK5cuXSI4uChweRjlD2tX8dlH/8Pf4Y+fnz+P9ulPI/vWxIu+mcO8rz7H4XBQ6toyDB05NrH17428edTN4BeeY+uWzZw9G0FI8eL06z+Qps2a8+Jzgzh+7BjXli7NxLffI7hoUZYsXshnn35CgMOB+PnRt19/mjZrnris1i2b8cHkKVS8/oYc3KLsk9FRN5v/PedxvGl4fXCejPZZEeinAtOMMT+5mTfbGNMtrWV4e6BXV8ebA726ehkN9FvSEegb5NFAn+mjbowxvVOZl2aQV0qpbJUnQ3f66PBKpZRPy+x73eRGGuiVUj7N+8O8BvpsMXf2TL5d+A0iQsVKlRkyYgz58+dPnL9q+VJmz7TG0gcGBvHckFeoVKUaJ48fY+yoYYSfOY2f+HF/+450fMj6qcGPJr3Npl9+pFKVagwfPR6AlcsWc/7cucQ8Kndzd38bV9+vXc0Hk97DT/zwd/jz4uBhiVe6/vfff4we8TL79v2NiDD6tXHUuelm3nnrTX7+aT1Vq93I2PHWjeyWLF7If+fO0b1Hz2zdvjzDByK93gIhi506eYJv5nzBlJlzmD5nIfHx8az9bnmSPKXLhPL+x9OZ9uUCHun9JBPHWZcb+Dsc9B/0IrO+XsLkabNZMO8rDvz7DxcunOevP7Yz7csFxMfF88++v4mJjmbFkkW065Tm/Y1ULtG23YNM/jjli9xuueU2vp6/mLnzFzH6tXGMHnn5yuc3xo+l0R13smjpCr7+ZhEVr7+B8+fP8/v2bcxbsIT4uDj2/r2H6OhoFi9cQOeuenosJb4wvFIDfTaIczqJiYnB6XQSEx3FNSVKJJlfs87NFC5i3eekRq3anDpp3eem+DUlEu8bH1SwIOUrXM+pUyfwEz+csbEYY4iJicbhcPDlrGl06Nodh0NHpuQV7u5v4yqoYMHEC+eioqISn1+4cIFff91C+w7WD4YH5MtHkSJF8PMTYu39IjomBofDwfTPPqXbwz0ICND9IiW+cK8bDfRZrETJUnR9uBed72/Og/c2oWDBwjS4tVGK+b9dNJ9bbr/jivRjR4+wd88uqteoTVDBgtzVtAWPd+9I6TJlKVSoMLt3/sUddzfNyk1ROWDN6lW0bdOKAf36Mvq1cQCEHT5MsWIhjBg+lM4d2jFqxHAiIyMpWLAQzVvcQ5cO7QgNLUuhwoXZ8ddfNGnaPI21+DZfCPR6m+Isdv6/c7wy+FlGjZtIocKFGTnkee5u2oJ7Wt9/Rd7ftm7mnQmv8b9PZiW58CkyMpJn+vaix6NPcFfTFleUe2PMCNp1eoi/d+1gy6YN3FCpCo/07puVm5UjvHEc/ZEjYQx86km3ffSuft26hY8nf8CUqdPZ8def9OjWhemff0nt2nWYMH4MBQsWYsDTg5KUGTViOF0e6s6uHTvY8MtPVK5SlT5PPpWFW5MzMjqO/o/DFzyON7XLFcqT4V5b9Fls6+aNlC4TStFiITgcAdzZpJnbe9L8s3cPb44ZwbiJk5IEeaczlhGDB9G81X1ug/zf9g+Dl7uuPCuXLWH0+LfY/89ewg4dzKpNUjmgXv0GHD58iIiIcEqVupZSpa6ldu06ALS4pxW7d+1Mkn+X/bp8+QosWbyQN99+j3379nLw4IHsrnqu5wsteg30WazUtaXZ+ecfREdb943/bcsmyldMek+aE8eP8cpLgxg+ejzlyldITDfGMOG1EZSvcD1dursfMfHZR5N4rO8AnE4n8fY9ccTPj+joqCzbJpU9Dh08SMI37l07dxAbG0vRosW4pkQJSl17LQf2/wvApo0buP6GpLc7+GDSezw14Okk+4Wf+BEdFZ29G5EH+MA9zXR4ZVarXrM2dzdrwRMPd8bf359KVatxf/tOLPpmDgBtO3RhxqeTOXfuHO9MGAOAv8OfKTPn8ufv2/hu2RKur1SZ3t2sHyp5ov8z3NroLgB+XLeGatVrco19z/IaterQq2t7bqhUhUpVquXA1qr0cL2/TYumd9Gv/8DEm5V17vIQq1etZMniRQQ4HOQvUIA3Jr6TeEJ2yLBXGDr4BWJjYylbthyvjhmfuNy1a1ZTs2YtSpa07iFY+6ab6dDufqpUqULVarpfXCEvR3APaR+9yjO8sY9eZVxG++h3HLnocbypEVowTx4WtEWvlPJpmfzj4LmSBnqllG/TQK+UUt4tL1/x6ikN9Eopn5aXh016SgO9Usqn+UCc13H0Sikfl4kD6UXkMxE5KSJ/uaSFiMgqEdlrPxZzmTdURPaJyB4RaemSXk9E/rTnvS/2uFoRyS8ic+z0TSJSwZNN1ECvlPJpfiIeTx6YDrRKljYEWGOMqQyssV8jItWBrkANu8yHIuJvl5kM9AEq21PCMnsDEcaYSsA7wASPttGTTEop5a0y88pYY8x6IDxZcltghv18BtDOJf0rY0yMMWY/sA9oKCKlgSLGmA3GutBpZrIyCcuaBzRLaO2nRgO9Usq3pSPSi0gfEdnqMvXxYA2ljDHHAOzHknZ6KHDYJV+YnRZqP0+enqSMMcYJnAOKp1UBPRmrlPJp6RleaYyZAkzJtFW7WUUq6amVSZW26JVSPi0b7l55wu6OwX48aaeHAeVc8pUFjtrpZd2kJykjIg4gmCu7iq6ggV4p5dOyIdAvBhJuP9sTWOSS3tUeSVMR66TrZrt757yI3Gr3vz+SrEzCsjoCa40HNyzTrhullE/LzCtjReRLoDFwjYiEASOB14G5ItIbOAR0AjDG7BCRucBOwAn0N8bE2YvqhzWCJxBYbk8AU4FZIrIPqyXv0Y9E690rVZ6hd69U7mT07pWHwmM8jjfXheTPk9dXaYteKeXT8mTkTicN9Eopn6b3ulFKKa/n/ZFeA71SyqfpD48opZSX064bpZTycvrDI0op5e28P85roFdK+TYfiPMa6JVSvk376JVSyst5cDv3PE8DvVLKp3l/mNdAr5TycT7QoNdAr5TybTq8UimlvJy26JVSystpoFdKKS+nXTdKKeXltEWvlFJezgfivAZ6pZSP84FIr4FeKeXTtI9eKaW8nP7wiFJKeTsN9Eop5d2060YppbycLwyvFGNMTtdBpUJE+hhjpuR0PVTuovuFSg+/nK6ASlOfnK6AypV0v1Ae00CvlFJeTgO9Ukp5OQ30uZ/2wyp3dL9QHtOTsUop5eW0Ra+UUl5OA71SSnk5DfS5lIi0EpE9IrJPRIbkdH1U7iAin4nISRH5K6frovIODfS5kIj4Ax8A9wLVgYdEpHrO1krlEtOBVjldCZW3aKDPnRoC+4wx/xpjLgFfAW1zuE4qFzDGrAfCc7oeKm/RQJ87hQKHXV6H2WlKKZVuGuhzJ3e3WdJxsEqpq6KBPncKA8q5vC4LHM2huiil8jgN9LnTFqCyiFQUkXxAV2BxDtdJKZVHaaDPhYwxTmAAsBLYBcw1xuzI2Vqp3EBEvgQ2AFVFJExEeud0nVTup7dAUEopL6cteqWU8nIa6JVSystpoFdKKS+ngV4ppbycBnqllPJyGuiVUsrLaaBXSikv93+dfQpGE1g8FQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Confusion matrix for Random Forest\n",
    "make_conf_mat(y_pred_forest, y_test, 'Random Forest Confusion Matrix')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62ba5300-2eed-45d9-bf65-f83c774d1bf9",
   "metadata": {},
   "source": [
    "#### Model Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "58e95313-1110-472d-a7c9-0ede2d8bb285",
   "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>Model_Name</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Recall</th>\n",
       "      <th>F1_Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GNB</td>\n",
       "      <td>0.834109</td>\n",
       "      <td>0.48499</td>\n",
       "      <td>0.35917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BNB</td>\n",
       "      <td>0.878548</td>\n",
       "      <td>0.293763</td>\n",
       "      <td>0.316801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SVC</td>\n",
       "      <td>0.905761</td>\n",
       "      <td>0.038382</td>\n",
       "      <td>0.072426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LR</td>\n",
       "      <td>0.905892</td>\n",
       "      <td>0.107608</td>\n",
       "      <td>0.179798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>KNN</td>\n",
       "      <td>0.903027</td>\n",
       "      <td>0.050446</td>\n",
       "      <td>0.090685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>DTC</td>\n",
       "      <td>0.870454</td>\n",
       "      <td>0.217958</td>\n",
       "      <td>0.243884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>RFC</td>\n",
       "      <td>0.894815</td>\n",
       "      <td>0.142152</td>\n",
       "      <td>0.205774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Model_Name  Accuracy    Recall  F1_Score\n",
       "0        GNB  0.834109   0.48499   0.35917\n",
       "1        BNB  0.878548  0.293763  0.316801\n",
       "2        SVC  0.905761  0.038382  0.072426\n",
       "3         LR  0.905892  0.107608  0.179798\n",
       "4        KNN  0.903027  0.050446  0.090685\n",
       "5        DTC  0.870454  0.217958  0.243884\n",
       "6        RFC  0.894815  0.142152  0.205774"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MLResults"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ccdf8a8-7c02-42d5-a1d6-692ca0a7aa12",
   "metadata": {},
   "source": [
    "We see that for these simple models our recall and F1_Scores are not great but GNB and BNB were the highest in these categories while SVC, LR, and KNN all had >90% accuracy. In the next notebook we will attempt to improve the accuracy and limit the false negatives. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "56636a55-6312-4966-b23f-8eafe82e287f",
   "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": "3.9.12"
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 },
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