ALF_Algo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Yw3EijfMyDDf"
   },
   "outputs": [],
   "source": [
    "!pip install -U -q PyDrive\n",
    "from pydrive.auth import GoogleAuth\n",
    "from pydrive.drive import GoogleDrive\n",
    "from google.colab import auth\n",
    "from oauth2client.client import GoogleCredentials\n",
    "import io\n",
    "import zipfile\n",
    "# Authenticate and create the PyDrive client.\n",
    "# This only needs to be done once per notebook.\n",
    "auth.authenticate_user()\n",
    "gauth = GoogleAuth()\n",
    "gauth.credentials = GoogleCredentials.get_application_default()\n",
    "drive = GoogleDrive(gauth)\n",
    "\n",
    "# Download a file based on its file ID.\n",
    "#\n",
    "# A file ID looks like: laggVyWshwcyP6kEI-y_W3P8D26sz\n",
    "file_id = '1eMBXN1NBQ55zj_WpNJljSaXFyEhDjhVn' #-- Updated File ID for my zip\n",
    "downloaded = drive.CreateFile({'id': file_id})\n",
    "downloaded.GetContentFile('indian_liver_patient.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import numpy\n",
    "import pandas as pd\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "from keras.wrappers.scikit_learn import KerasRegressor\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report\n",
    "import scikitplot as skplt\n",
    "from keras.layers.convolutional import Convolution2D\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1902
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1500,
     "status": "ok",
     "timestamp": 1554188288099,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "R2NhVgm8y_MM",
    "outputId": "23c65f79-466f-41d3-df2c-14f900f0624b"
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Region</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Height</th>\n",
       "      <th>Body Mass Index</th>\n",
       "      <th>Obesity</th>\n",
       "      <th>Waist</th>\n",
       "      <th>Maximum Blood Pressure</th>\n",
       "      <th>...</th>\n",
       "      <th>Source of Care</th>\n",
       "      <th>Alcohol Consumption</th>\n",
       "      <th>HyperTension</th>\n",
       "      <th>Family  HyperTension</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>Family Diabetes</th>\n",
       "      <th>Hepatitis</th>\n",
       "      <th>Family Hepatitis</th>\n",
       "      <th>Chronic Fatigue</th>\n",
       "      <th>ALF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>56.00</td>\n",
       "      <td>162.1</td>\n",
       "      <td>21.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83.6</td>\n",
       "      <td>135.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Governament Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>60.20</td>\n",
       "      <td>162.2</td>\n",
       "      <td>22.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.6</td>\n",
       "      <td>96.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>83.90</td>\n",
       "      <td>162.5</td>\n",
       "      <td>31.77</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.2</td>\n",
       "      <td>115.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>54</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>69.40</td>\n",
       "      <td>160.5</td>\n",
       "      <td>26.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.9</td>\n",
       "      <td>110.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>63</td>\n",
       "      <td>M</td>\n",
       "      <td>north</td>\n",
       "      <td>73.10</td>\n",
       "      <td>159.2</td>\n",
       "      <td>28.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.3</td>\n",
       "      <td>132.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>119.30</td>\n",
       "      <td>193.2</td>\n",
       "      <td>31.96</td>\n",
       "      <td>1.0</td>\n",
       "      <td>117.9</td>\n",
       "      <td>129.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>66</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>85.10</td>\n",
       "      <td>172.1</td>\n",
       "      <td>28.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>99.2</td>\n",
       "      <td>137.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>53</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>75.20</td>\n",
       "      <td>174.1</td>\n",
       "      <td>24.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.6</td>\n",
       "      <td>110.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>11</td>\n",
       "      <td>47</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>49.00</td>\n",
       "      <td>155.3</td>\n",
       "      <td>20.32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.6</td>\n",
       "      <td>146.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>12</td>\n",
       "      <td>62</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>56.10</td>\n",
       "      <td>165.5</td>\n",
       "      <td>20.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.7</td>\n",
       "      <td>201.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>13</td>\n",
       "      <td>36</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>78.80</td>\n",
       "      <td>183.8</td>\n",
       "      <td>23.33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.8</td>\n",
       "      <td>108.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>14</td>\n",
       "      <td>60</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>68.30</td>\n",
       "      <td>146.7</td>\n",
       "      <td>31.74</td>\n",
       "      <td>1.0</td>\n",
       "      <td>88.5</td>\n",
       "      <td>153.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>15</td>\n",
       "      <td>30</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>68.30</td>\n",
       "      <td>157.8</td>\n",
       "      <td>27.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.1</td>\n",
       "      <td>105.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>16</td>\n",
       "      <td>47</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>62.10</td>\n",
       "      <td>149.6</td>\n",
       "      <td>27.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.5</td>\n",
       "      <td>116.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>17</td>\n",
       "      <td>53</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>94.90</td>\n",
       "      <td>178.0</td>\n",
       "      <td>29.95</td>\n",
       "      <td>0.0</td>\n",
       "      <td>104.8</td>\n",
       "      <td>112.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>18</td>\n",
       "      <td>28</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>65.00</td>\n",
       "      <td>156.8</td>\n",
       "      <td>26.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.9</td>\n",
       "      <td>105.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>22</td>\n",
       "      <td>38</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>67.00</td>\n",
       "      <td>153.7</td>\n",
       "      <td>28.36</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>26</td>\n",
       "      <td>74</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>63.60</td>\n",
       "      <td>172.4</td>\n",
       "      <td>21.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.1</td>\n",
       "      <td>158.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>27</td>\n",
       "      <td>46</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>88.60</td>\n",
       "      <td>172.9</td>\n",
       "      <td>29.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.9</td>\n",
       "      <td>122.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>28</td>\n",
       "      <td>58</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>179.00</td>\n",
       "      <td>181.3</td>\n",
       "      <td>54.46</td>\n",
       "      <td>1.0</td>\n",
       "      <td>152.5</td>\n",
       "      <td>131.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>29</td>\n",
       "      <td>35</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>66.80</td>\n",
       "      <td>181.9</td>\n",
       "      <td>20.19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.8</td>\n",
       "      <td>93.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>31</td>\n",
       "      <td>81</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>68.40</td>\n",
       "      <td>164.2</td>\n",
       "      <td>25.37</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>134.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>32</td>\n",
       "      <td>44</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>105.40</td>\n",
       "      <td>145.3</td>\n",
       "      <td>49.92</td>\n",
       "      <td>1.0</td>\n",
       "      <td>132.6</td>\n",
       "      <td>140.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>33</td>\n",
       "      <td>53</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>77.10</td>\n",
       "      <td>168.7</td>\n",
       "      <td>27.09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>102.6</td>\n",
       "      <td>124.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>34</td>\n",
       "      <td>38</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>80.50</td>\n",
       "      <td>171.0</td>\n",
       "      <td>27.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>35</td>\n",
       "      <td>32</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>86.00</td>\n",
       "      <td>182.1</td>\n",
       "      <td>25.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.3</td>\n",
       "      <td>115.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>36</td>\n",
       "      <td>52</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>85.30</td>\n",
       "      <td>148.0</td>\n",
       "      <td>38.94</td>\n",
       "      <td>1.0</td>\n",
       "      <td>95.4</td>\n",
       "      <td>114.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>37</td>\n",
       "      <td>72</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>58.80</td>\n",
       "      <td>161.4</td>\n",
       "      <td>22.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.5</td>\n",
       "      <td>109.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>38</td>\n",
       "      <td>35</td>\n",
       "      <td>M</td>\n",
       "      <td>north</td>\n",
       "      <td>87.50</td>\n",
       "      <td>174.4</td>\n",
       "      <td>28.77</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.2</td>\n",
       "      <td>148.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>39</td>\n",
       "      <td>48</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>107.50</td>\n",
       "      <td>170.3</td>\n",
       "      <td>37.07</td>\n",
       "      <td>1.0</td>\n",
       "      <td>121.1</td>\n",
       "      <td>126.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3405</th>\n",
       "      <td>5963</td>\n",
       "      <td>70</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>52.00</td>\n",
       "      <td>166.0</td>\n",
       "      <td>18.87</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.1</td>\n",
       "      <td>180.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3406</th>\n",
       "      <td>5964</td>\n",
       "      <td>58</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>59.40</td>\n",
       "      <td>156.9</td>\n",
       "      <td>24.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.6</td>\n",
       "      <td>130.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3407</th>\n",
       "      <td>5966</td>\n",
       "      <td>40</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>116.60</td>\n",
       "      <td>178.1</td>\n",
       "      <td>36.76</td>\n",
       "      <td>1.0</td>\n",
       "      <td>124.8</td>\n",
       "      <td>127.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3408</th>\n",
       "      <td>5967</td>\n",
       "      <td>61</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>96.10</td>\n",
       "      <td>175.7</td>\n",
       "      <td>31.13</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.8</td>\n",
       "      <td>138.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3409</th>\n",
       "      <td>5968</td>\n",
       "      <td>34</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>81.50</td>\n",
       "      <td>168.1</td>\n",
       "      <td>28.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.3</td>\n",
       "      <td>108.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3410</th>\n",
       "      <td>5969</td>\n",
       "      <td>20</td>\n",
       "      <td>M</td>\n",
       "      <td>west</td>\n",
       "      <td>72.90</td>\n",
       "      <td>157.4</td>\n",
       "      <td>29.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3411</th>\n",
       "      <td>5972</td>\n",
       "      <td>45</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>84.30</td>\n",
       "      <td>166.9</td>\n",
       "      <td>30.26</td>\n",
       "      <td>1.0</td>\n",
       "      <td>101.4</td>\n",
       "      <td>125.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3412</th>\n",
       "      <td>5973</td>\n",
       "      <td>44</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>57.10</td>\n",
       "      <td>161.4</td>\n",
       "      <td>21.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.8</td>\n",
       "      <td>138.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3413</th>\n",
       "      <td>5974</td>\n",
       "      <td>22</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>106.60</td>\n",
       "      <td>190.0</td>\n",
       "      <td>29.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>116.3</td>\n",
       "      <td>126.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3414</th>\n",
       "      <td>5976</td>\n",
       "      <td>77</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>75.70</td>\n",
       "      <td>163.0</td>\n",
       "      <td>28.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>104.8</td>\n",
       "      <td>148.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3415</th>\n",
       "      <td>5978</td>\n",
       "      <td>49</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>94.20</td>\n",
       "      <td>184.5</td>\n",
       "      <td>27.67</td>\n",
       "      <td>0.0</td>\n",
       "      <td>98.2</td>\n",
       "      <td>117.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3416</th>\n",
       "      <td>5979</td>\n",
       "      <td>73</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>62.80</td>\n",
       "      <td>150.8</td>\n",
       "      <td>27.62</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3417</th>\n",
       "      <td>5981</td>\n",
       "      <td>20</td>\n",
       "      <td>M</td>\n",
       "      <td>north</td>\n",
       "      <td>63.50</td>\n",
       "      <td>169.9</td>\n",
       "      <td>22.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3418</th>\n",
       "      <td>5982</td>\n",
       "      <td>49</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>79.20</td>\n",
       "      <td>152.6</td>\n",
       "      <td>34.01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>107.3</td>\n",
       "      <td>102.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3419</th>\n",
       "      <td>5983</td>\n",
       "      <td>41</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>122.40</td>\n",
       "      <td>189.5</td>\n",
       "      <td>34.08</td>\n",
       "      <td>1.0</td>\n",
       "      <td>114.3</td>\n",
       "      <td>133.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3420</th>\n",
       "      <td>5984</td>\n",
       "      <td>58</td>\n",
       "      <td>M</td>\n",
       "      <td>west</td>\n",
       "      <td>85.14</td>\n",
       "      <td>160.6</td>\n",
       "      <td>33.01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.1</td>\n",
       "      <td>135.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3421</th>\n",
       "      <td>5985</td>\n",
       "      <td>69</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>83.50</td>\n",
       "      <td>183.5</td>\n",
       "      <td>24.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3422</th>\n",
       "      <td>5986</td>\n",
       "      <td>23</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>57.00</td>\n",
       "      <td>158.4</td>\n",
       "      <td>22.72</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.2</td>\n",
       "      <td>108.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3423</th>\n",
       "      <td>5987</td>\n",
       "      <td>60</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>99.40</td>\n",
       "      <td>173.2</td>\n",
       "      <td>33.14</td>\n",
       "      <td>1.0</td>\n",
       "      <td>112.6</td>\n",
       "      <td>124.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3424</th>\n",
       "      <td>5988</td>\n",
       "      <td>61</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>66.00</td>\n",
       "      <td>152.7</td>\n",
       "      <td>28.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3425</th>\n",
       "      <td>5989</td>\n",
       "      <td>57</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>73.60</td>\n",
       "      <td>173.0</td>\n",
       "      <td>24.59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84.3</td>\n",
       "      <td>114.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3426</th>\n",
       "      <td>5990</td>\n",
       "      <td>70</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>77.40</td>\n",
       "      <td>156.9</td>\n",
       "      <td>31.44</td>\n",
       "      <td>1.0</td>\n",
       "      <td>109.1</td>\n",
       "      <td>137.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3427</th>\n",
       "      <td>5991</td>\n",
       "      <td>82</td>\n",
       "      <td>M</td>\n",
       "      <td>west</td>\n",
       "      <td>53.70</td>\n",
       "      <td>149.5</td>\n",
       "      <td>24.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.8</td>\n",
       "      <td>157.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3428</th>\n",
       "      <td>5993</td>\n",
       "      <td>48</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>85.40</td>\n",
       "      <td>178.6</td>\n",
       "      <td>26.77</td>\n",
       "      <td>0.0</td>\n",
       "      <td>92.5</td>\n",
       "      <td>123.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3429</th>\n",
       "      <td>5994</td>\n",
       "      <td>70</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>66.00</td>\n",
       "      <td>167.8</td>\n",
       "      <td>23.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>92.1</td>\n",
       "      <td>127.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3430</th>\n",
       "      <td>5995</td>\n",
       "      <td>77</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>109.30</td>\n",
       "      <td>185.8</td>\n",
       "      <td>31.66</td>\n",
       "      <td>1.0</td>\n",
       "      <td>117.2</td>\n",
       "      <td>149.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3431</th>\n",
       "      <td>5996</td>\n",
       "      <td>49</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>86.60</td>\n",
       "      <td>168.9</td>\n",
       "      <td>30.36</td>\n",
       "      <td>1.0</td>\n",
       "      <td>99.5</td>\n",
       "      <td>130.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3432</th>\n",
       "      <td>5997</td>\n",
       "      <td>30</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>78.00</td>\n",
       "      <td>174.9</td>\n",
       "      <td>25.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.2</td>\n",
       "      <td>126.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3433</th>\n",
       "      <td>5998</td>\n",
       "      <td>75</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>78.80</td>\n",
       "      <td>176.5</td>\n",
       "      <td>25.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.4</td>\n",
       "      <td>129.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3434</th>\n",
       "      <td>5999</td>\n",
       "      <td>35</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>62.30</td>\n",
       "      <td>164.2</td>\n",
       "      <td>23.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.2</td>\n",
       "      <td>95.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3435 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  Age Gender Region  Weight  Height  Body Mass Index  Obesity  \\\n",
       "0              0   65      M   east   56.00   162.1            21.31      0.0   \n",
       "1              1   36      M  south   60.20   162.2            22.88      0.0   \n",
       "2              2   66      M   east   83.90   162.5            31.77      1.0   \n",
       "3              3   54      M   east   69.40   160.5            26.94      0.0   \n",
       "4              4   63      M  north   73.10   159.2            28.84      0.0   \n",
       "5              5   26      F   east  119.30   193.2            31.96      1.0   \n",
       "6              6   66      F  north   85.10   172.1            28.73      0.0   \n",
       "7              8   53      M   east   75.20   174.1            24.81      0.0   \n",
       "8             11   47      M  south   49.00   155.3            20.32      0.0   \n",
       "9             12   62      F  south   56.10   165.5            20.48      0.0   \n",
       "10            13   36      F  south   78.80   183.8            23.33      0.0   \n",
       "11            14   60      M  south   68.30   146.7            31.74      1.0   \n",
       "12            15   30      M  south   68.30   157.8            27.43      0.0   \n",
       "13            16   47      M  south   62.10   149.6            27.75      0.0   \n",
       "14            17   53      M   east   94.90   178.0            29.95      0.0   \n",
       "15            18   28      M   east   65.00   156.8            26.44      0.0   \n",
       "16            22   38      M  south   67.00   153.7            28.36      0.0   \n",
       "17            26   74      F  north   63.60   172.4            21.40      0.0   \n",
       "18            27   46      F   east   88.60   172.9            29.64      0.0   \n",
       "19            28   58      F  north  179.00   181.3            54.46      1.0   \n",
       "20            29   35      F   east   66.80   181.9            20.19      0.0   \n",
       "21            31   81      M   east   68.40   164.2            25.37      0.0   \n",
       "22            32   44      M  south  105.40   145.3            49.92      1.0   \n",
       "23            33   53      F  south   77.10   168.7            27.09      0.0   \n",
       "24            34   38      F  south   80.50   171.0            27.53      0.0   \n",
       "25            35   32      F  south   86.00   182.1            25.93      0.0   \n",
       "26            36   52      M  south   85.30   148.0            38.94      1.0   \n",
       "27            37   72      F  south   58.80   161.4            22.57      0.0   \n",
       "28            38   35      M  north   87.50   174.4            28.77      0.0   \n",
       "29            39   48      F  south  107.50   170.3            37.07      1.0   \n",
       "...          ...  ...    ...    ...     ...     ...              ...      ...   \n",
       "3405        5963   70      F  south   52.00   166.0            18.87      0.0   \n",
       "3406        5964   58      M   east   59.40   156.9            24.13      0.0   \n",
       "3407        5966   40      F   east  116.60   178.1            36.76      1.0   \n",
       "3408        5967   61      F   east   96.10   175.7            31.13      1.0   \n",
       "3409        5968   34      F  south   81.50   168.1            28.84      0.0   \n",
       "3410        5969   20      M   west   72.90   157.4            29.43      0.0   \n",
       "3411        5972   45      F  south   84.30   166.9            30.26      1.0   \n",
       "3412        5973   44      M   east   57.10   161.4            21.92      0.0   \n",
       "3413        5974   22      F   east  106.60   190.0            29.53      0.0   \n",
       "3414        5976   77      F  south   75.70   163.0            28.49      0.0   \n",
       "3415        5978   49      F   east   94.20   184.5            27.67      0.0   \n",
       "3416        5979   73      M   east   62.80   150.8            27.62      0.0   \n",
       "3417        5981   20      M  north   63.50   169.9            22.00      0.0   \n",
       "3418        5982   49      M  south   79.20   152.6            34.01      1.0   \n",
       "3419        5983   41      F  north  122.40   189.5            34.08      1.0   \n",
       "3420        5984   58      M   west   85.14   160.6            33.01      1.0   \n",
       "3421        5985   69      F   east   83.50   183.5            24.80      0.0   \n",
       "3422        5986   23      M   east   57.00   158.4            22.72      0.0   \n",
       "3423        5987   60      F   east   99.40   173.2            33.14      1.0   \n",
       "3424        5988   61      M   east   66.00   152.7            28.31      0.0   \n",
       "3425        5989   57      M   east   73.60   173.0            24.59      0.0   \n",
       "3426        5990   70      M   east   77.40   156.9            31.44      1.0   \n",
       "3427        5991   82      M   west   53.70   149.5            24.03      0.0   \n",
       "3428        5993   48      F  north   85.40   178.6            26.77      0.0   \n",
       "3429        5994   70      F  south   66.00   167.8            23.44      0.0   \n",
       "3430        5995   77      F   east  109.30   185.8            31.66      1.0   \n",
       "3431        5996   49      F   east   86.60   168.9            30.36      1.0   \n",
       "3432        5997   30      F  north   78.00   174.9            25.50      0.0   \n",
       "3433        5998   75      F  north   78.80   176.5            25.30      0.0   \n",
       "3434        5999   35      M   east   62.30   164.2            23.11      0.0   \n",
       "\n",
       "      Waist  Maximum Blood Pressure ...         Source of Care  \\\n",
       "0      83.6                   135.0 ...   Governament Hospital   \n",
       "1      76.6                    96.0 ...       Never Counsulted   \n",
       "2     113.2                   115.0 ...       Never Counsulted   \n",
       "3      77.9                   110.0 ...       Private Hospital   \n",
       "4      89.3                   132.0 ...                 clinic   \n",
       "5     117.9                   129.0 ...       Private Hospital   \n",
       "6      99.2                   137.0 ...       Private Hospital   \n",
       "7      85.6                   110.0 ...       Private Hospital   \n",
       "8      78.6                   146.0 ...       Private Hospital   \n",
       "9      78.7                   201.0 ...       Private Hospital   \n",
       "10     86.8                   108.0 ...                 clinic   \n",
       "11     88.5                   153.0 ...       Private Hospital   \n",
       "12     89.1                   105.0 ...       Private Hospital   \n",
       "13     89.5                   116.0 ...       Private Hospital   \n",
       "14    104.8                   112.0 ...       Private Hospital   \n",
       "15     85.9                   105.0 ...       Never Counsulted   \n",
       "16     90.0                   144.0 ...       Private Hospital   \n",
       "17     86.1                   158.0 ...                 clinic   \n",
       "18    100.9                   122.0 ...       Private Hospital   \n",
       "19    152.5                   131.0 ...       Private Hospital   \n",
       "20     81.8                    93.0 ...       Never Counsulted   \n",
       "21     89.9                   134.0 ...                 clinic   \n",
       "22    132.6                   140.0 ...       Private Hospital   \n",
       "23    102.6                   124.0 ...       Private Hospital   \n",
       "24     90.0                   107.0 ...                 clinic   \n",
       "25     95.3                   115.0 ...       Private Hospital   \n",
       "26     95.4                   114.0 ...                 clinic   \n",
       "27     88.5                   109.0 ...                 clinic   \n",
       "28     95.2                   148.0 ...       Private Hospital   \n",
       "29    121.1                   126.0 ...       Private Hospital   \n",
       "...     ...                     ... ...                    ...   \n",
       "3405   81.1                   180.0 ...       Private Hospital   \n",
       "3406   88.6                   130.0 ...       Private Hospital   \n",
       "3407  124.8                   127.0 ...       Private Hospital   \n",
       "3408  113.8                   138.0 ...                 clinic   \n",
       "3409  100.3                   108.0 ...       Private Hospital   \n",
       "3410   94.0                   126.0 ...                 clinic   \n",
       "3411  101.4                   125.0 ...       Never Counsulted   \n",
       "3412   77.8                   138.0 ...                 clinic   \n",
       "3413  116.3                   126.0 ...       Never Counsulted   \n",
       "3414  104.8                   148.0 ...       Private Hospital   \n",
       "3415   98.2                   117.0 ...       Private Hospital   \n",
       "3416   89.0                   154.0 ...       Private Hospital   \n",
       "3417   80.0                   109.0 ...                 clinic   \n",
       "3418  107.3                   102.0 ...       Never Counsulted   \n",
       "3419  114.3                   133.0 ...                 clinic   \n",
       "3420  113.1                   135.0 ...                 clinic   \n",
       "3421  100.0                   141.0 ...       Private Hospital   \n",
       "3422   76.2                   108.0 ...       Private Hospital   \n",
       "3423  112.6                   124.0 ...       Private Hospital   \n",
       "3424   77.0                   132.0 ...       Private Hospital   \n",
       "3425   84.3                   114.0 ...       Private Hospital   \n",
       "3426  109.1                   137.0 ...       Private Hospital   \n",
       "3427   88.8                   157.0 ...       Private Hospital   \n",
       "3428   92.5                   123.0 ...       Private Hospital   \n",
       "3429   92.1                   127.0 ...       Private Hospital   \n",
       "3430  117.2                   149.0 ...       Private Hospital   \n",
       "3431   99.5                   130.0 ...       Private Hospital   \n",
       "3432   89.2                   126.0 ...                 clinic   \n",
       "3433  100.4                   129.0 ...       Private Hospital   \n",
       "3434   87.2                    95.0 ...       Private Hospital   \n",
       "\n",
       "      Alcohol Consumption  HyperTension  Family  HyperTension  Diabetes  \\\n",
       "0                       1           0.0                     0       0.0   \n",
       "1                       0           0.0                     0       0.0   \n",
       "2                       1           0.0                     0       1.0   \n",
       "3                       1           0.0                     0       0.0   \n",
       "4                       0           1.0                     0       0.0   \n",
       "5                       0           0.0                     1       0.0   \n",
       "6                       0           1.0                     0       0.0   \n",
       "7                       1           1.0                     1       0.0   \n",
       "8                       0           1.0                     0       0.0   \n",
       "9                       1           1.0                     0       0.0   \n",
       "10                      0           0.0                     0       0.0   \n",
       "11                      1           1.0                     0       0.0   \n",
       "12                      1           0.0                     1       0.0   \n",
       "13                      0           0.0                     1       0.0   \n",
       "14                      0           0.0                     1       0.0   \n",
       "15                      0           0.0                     1       0.0   \n",
       "16                      0           1.0                     1       0.0   \n",
       "17                      1           1.0                     1       0.0   \n",
       "18                      1           0.0                     0       1.0   \n",
       "19                      1           1.0                     0       0.0   \n",
       "20                      0           0.0                     1       0.0   \n",
       "21                      0           1.0                     0       1.0   \n",
       "22                      0           1.0                     1       0.0   \n",
       "23                      0           0.0                     1       1.0   \n",
       "24                      0           0.0                     0       0.0   \n",
       "25                      0           0.0                     0       0.0   \n",
       "26                      0           1.0                     1       0.0   \n",
       "27                      0           0.0                     0       0.0   \n",
       "28                      0           1.0                     1       0.0   \n",
       "29                      1           0.0                     0       1.0   \n",
       "...                   ...           ...                   ...       ...   \n",
       "3405                    0           1.0                     0       0.0   \n",
       "3406                    0           0.0                     0       0.0   \n",
       "3407                    1           0.0                     0       0.0   \n",
       "3408                    1           0.0                     0       0.0   \n",
       "3409                    0           0.0                     0       0.0   \n",
       "3410                    0           0.0                     0       0.0   \n",
       "3411                    1           0.0                     0       0.0   \n",
       "3412                    0           0.0                     0       0.0   \n",
       "3413                    0           0.0                     0       0.0   \n",
       "3414                    1           1.0                     0       0.0   \n",
       "3415                    0           1.0                     0       0.0   \n",
       "3416                    0           1.0                     1       1.0   \n",
       "3417                    0           0.0                     0       0.0   \n",
       "3418                    0           0.0                     1       0.0   \n",
       "3419                    0           1.0                     0       0.0   \n",
       "3420                    0           0.0                     0       0.0   \n",
       "3421                    0           1.0                     0       1.0   \n",
       "3422                    0           0.0                     0       0.0   \n",
       "3423                    1           0.0                     0       0.0   \n",
       "3424                    0           0.0                     0       0.0   \n",
       "3425                    0           0.0                     0       0.0   \n",
       "3426                    0           1.0                     0       0.0   \n",
       "3427                    0           1.0                     0       0.0   \n",
       "3428                    1           0.0                     0       0.0   \n",
       "3429                    0           0.0                     0       0.0   \n",
       "3430                    1           1.0                     0       0.0   \n",
       "3431                    0           1.0                     1       0.0   \n",
       "3432                    0           0.0                     1       0.0   \n",
       "3433                    1           1.0                     0       1.0   \n",
       "3434                    1           0.0                     0       0.0   \n",
       "\n",
       "      Family Diabetes  Hepatitis Family Hepatitis  Chronic Fatigue  ALF  \n",
       "0                   1        1.0              0.0              0.0  0.0  \n",
       "1                   0        0.0              0.0              0.0  0.0  \n",
       "2                   0        0.0              0.0              0.0  0.0  \n",
       "3                   0        0.0              0.0              0.0  0.0  \n",
       "4                   0        0.0              0.0              0.0  0.0  \n",
       "5                   0        0.0              0.0              0.0  0.0  \n",
       "6                   0        0.0              0.0              0.0  0.0  \n",
       "7                   0        0.0              0.0              0.0  0.0  \n",
       "8                   0        0.0              0.0              0.0  0.0  \n",
       "9                   0        0.0              0.0              0.0  0.0  \n",
       "10                  1        0.0              0.0              0.0  0.0  \n",
       "11                  1        0.0              0.0              0.0  0.0  \n",
       "12                  1        0.0              0.0              0.0  0.0  \n",
       "13                  1        0.0              0.0              0.0  0.0  \n",
       "14                  0        0.0              0.0              0.0  1.0  \n",
       "15                  0        0.0              0.0              0.0  0.0  \n",
       "16                  1        0.0              0.0              0.0  0.0  \n",
       "17                  1        0.0              0.0              0.0  0.0  \n",
       "18                  1        0.0              0.0              0.0  0.0  \n",
       "19                  0        0.0              0.0              0.0  0.0  \n",
       "20                  1        0.0              0.0              0.0  0.0  \n",
       "21                  1        1.0              0.0              1.0  0.0  \n",
       "22                  0        0.0              0.0              0.0  0.0  \n",
       "23                  1        0.0              0.0              0.0  0.0  \n",
       "24                  0        0.0              0.0              0.0  0.0  \n",
       "25                  1        0.0              0.0              0.0  0.0  \n",
       "26                  1        0.0              0.0              0.0  0.0  \n",
       "27                  0        0.0              0.0              0.0  0.0  \n",
       "28                  0        0.0              1.0              0.0  0.0  \n",
       "29                  0        0.0              0.0              0.0  0.0  \n",
       "...               ...        ...              ...              ...  ...  \n",
       "3405                0        0.0              0.0              0.0  0.0  \n",
       "3406                0        0.0              0.0              0.0  0.0  \n",
       "3407                0        0.0              0.0              0.0  0.0  \n",
       "3408                1        0.0              0.0              0.0  0.0  \n",
       "3409                1        0.0              0.0              0.0  0.0  \n",
       "3410                0        0.0              0.0              0.0  0.0  \n",
       "3411                0        0.0              0.0              0.0  0.0  \n",
       "3412                1        0.0              0.0              0.0  0.0  \n",
       "3413                1        0.0              0.0              0.0  0.0  \n",
       "3414                1        0.0              0.0              0.0  0.0  \n",
       "3415                0        0.0              0.0              0.0  0.0  \n",
       "3416                1        1.0              0.0              0.0  1.0  \n",
       "3417                0        0.0              0.0              0.0  0.0  \n",
       "3418                0        0.0              0.0              0.0  0.0  \n",
       "3419                0        0.0              0.0              0.0  0.0  \n",
       "3420                0        0.0              1.0              0.0  1.0  \n",
       "3421                1        0.0              0.0              0.0  1.0  \n",
       "3422                0        0.0              0.0              0.0  0.0  \n",
       "3423                0        0.0              0.0              0.0  0.0  \n",
       "3424                0        0.0              0.0              0.0  1.0  \n",
       "3425                0        0.0              0.0              0.0  0.0  \n",
       "3426                0        0.0              0.0              0.0  0.0  \n",
       "3427                0        0.0              0.0              0.0  0.0  \n",
       "3428                0        0.0              0.0              0.0  0.0  \n",
       "3429                0        0.0              0.0              0.0  0.0  \n",
       "3430                0        0.0              0.0              0.0  1.0  \n",
       "3431                0        0.0              0.0              0.0  0.0  \n",
       "3432                1        0.0              0.0              0.0  0.0  \n",
       "3433                1        0.0              0.0              0.0  0.0  \n",
       "3434                0        0.0              0.0              0.0  0.0  \n",
       "\n",
       "[3435 rows x 27 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"Liver_alfOnly (1).csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1902
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1280,
     "status": "ok",
     "timestamp": 1554188290459,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "XYHUC_ODzOQe",
    "outputId": "dc8a633a-bdc0-4a2c-d48a-4a15baedda95",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Region</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Height</th>\n",
       "      <th>Body Mass Index</th>\n",
       "      <th>Obesity</th>\n",
       "      <th>Waist</th>\n",
       "      <th>Maximum Blood Pressure</th>\n",
       "      <th>...</th>\n",
       "      <th>Source of Care</th>\n",
       "      <th>Alcohol Consumption</th>\n",
       "      <th>HyperTension</th>\n",
       "      <th>Family  HyperTension</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>Family Diabetes</th>\n",
       "      <th>Hepatitis</th>\n",
       "      <th>Family Hepatitis</th>\n",
       "      <th>Chronic Fatigue</th>\n",
       "      <th>ALF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>56.00</td>\n",
       "      <td>162.1</td>\n",
       "      <td>21.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83.6</td>\n",
       "      <td>135.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Governament Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>60.20</td>\n",
       "      <td>162.2</td>\n",
       "      <td>22.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.6</td>\n",
       "      <td>96.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>83.90</td>\n",
       "      <td>162.5</td>\n",
       "      <td>31.77</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.2</td>\n",
       "      <td>115.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>54</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>69.40</td>\n",
       "      <td>160.5</td>\n",
       "      <td>26.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.9</td>\n",
       "      <td>110.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>63</td>\n",
       "      <td>M</td>\n",
       "      <td>north</td>\n",
       "      <td>73.10</td>\n",
       "      <td>159.2</td>\n",
       "      <td>28.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.3</td>\n",
       "      <td>132.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>119.30</td>\n",
       "      <td>193.2</td>\n",
       "      <td>31.96</td>\n",
       "      <td>1.0</td>\n",
       "      <td>117.9</td>\n",
       "      <td>129.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>66</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>85.10</td>\n",
       "      <td>172.1</td>\n",
       "      <td>28.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>99.2</td>\n",
       "      <td>137.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>53</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>75.20</td>\n",
       "      <td>174.1</td>\n",
       "      <td>24.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.6</td>\n",
       "      <td>110.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>11</td>\n",
       "      <td>47</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>49.00</td>\n",
       "      <td>155.3</td>\n",
       "      <td>20.32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.6</td>\n",
       "      <td>146.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>12</td>\n",
       "      <td>62</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>56.10</td>\n",
       "      <td>165.5</td>\n",
       "      <td>20.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.7</td>\n",
       "      <td>201.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>13</td>\n",
       "      <td>36</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>78.80</td>\n",
       "      <td>183.8</td>\n",
       "      <td>23.33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.8</td>\n",
       "      <td>108.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>14</td>\n",
       "      <td>60</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>68.30</td>\n",
       "      <td>146.7</td>\n",
       "      <td>31.74</td>\n",
       "      <td>1.0</td>\n",
       "      <td>88.5</td>\n",
       "      <td>153.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>15</td>\n",
       "      <td>30</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>68.30</td>\n",
       "      <td>157.8</td>\n",
       "      <td>27.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.1</td>\n",
       "      <td>105.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>16</td>\n",
       "      <td>47</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>62.10</td>\n",
       "      <td>149.6</td>\n",
       "      <td>27.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.5</td>\n",
       "      <td>116.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>17</td>\n",
       "      <td>53</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>94.90</td>\n",
       "      <td>178.0</td>\n",
       "      <td>29.95</td>\n",
       "      <td>0.0</td>\n",
       "      <td>104.8</td>\n",
       "      <td>112.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>18</td>\n",
       "      <td>28</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>65.00</td>\n",
       "      <td>156.8</td>\n",
       "      <td>26.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.9</td>\n",
       "      <td>105.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>22</td>\n",
       "      <td>38</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>67.00</td>\n",
       "      <td>153.7</td>\n",
       "      <td>28.36</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>26</td>\n",
       "      <td>74</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>63.60</td>\n",
       "      <td>172.4</td>\n",
       "      <td>21.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.1</td>\n",
       "      <td>158.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>27</td>\n",
       "      <td>46</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>88.60</td>\n",
       "      <td>172.9</td>\n",
       "      <td>29.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.9</td>\n",
       "      <td>122.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>28</td>\n",
       "      <td>58</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>179.00</td>\n",
       "      <td>181.3</td>\n",
       "      <td>54.46</td>\n",
       "      <td>1.0</td>\n",
       "      <td>152.5</td>\n",
       "      <td>131.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>29</td>\n",
       "      <td>35</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>66.80</td>\n",
       "      <td>181.9</td>\n",
       "      <td>20.19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.8</td>\n",
       "      <td>93.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>31</td>\n",
       "      <td>81</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>68.40</td>\n",
       "      <td>164.2</td>\n",
       "      <td>25.37</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>134.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>32</td>\n",
       "      <td>44</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>105.40</td>\n",
       "      <td>145.3</td>\n",
       "      <td>49.92</td>\n",
       "      <td>1.0</td>\n",
       "      <td>132.6</td>\n",
       "      <td>140.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>33</td>\n",
       "      <td>53</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>77.10</td>\n",
       "      <td>168.7</td>\n",
       "      <td>27.09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>102.6</td>\n",
       "      <td>124.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>34</td>\n",
       "      <td>38</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>80.50</td>\n",
       "      <td>171.0</td>\n",
       "      <td>27.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>35</td>\n",
       "      <td>32</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>86.00</td>\n",
       "      <td>182.1</td>\n",
       "      <td>25.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.3</td>\n",
       "      <td>115.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>36</td>\n",
       "      <td>52</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>85.30</td>\n",
       "      <td>148.0</td>\n",
       "      <td>38.94</td>\n",
       "      <td>1.0</td>\n",
       "      <td>95.4</td>\n",
       "      <td>114.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>37</td>\n",
       "      <td>72</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>58.80</td>\n",
       "      <td>161.4</td>\n",
       "      <td>22.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.5</td>\n",
       "      <td>109.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>38</td>\n",
       "      <td>35</td>\n",
       "      <td>M</td>\n",
       "      <td>north</td>\n",
       "      <td>87.50</td>\n",
       "      <td>174.4</td>\n",
       "      <td>28.77</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.2</td>\n",
       "      <td>148.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>39</td>\n",
       "      <td>48</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>107.50</td>\n",
       "      <td>170.3</td>\n",
       "      <td>37.07</td>\n",
       "      <td>1.0</td>\n",
       "      <td>121.1</td>\n",
       "      <td>126.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3405</th>\n",
       "      <td>5963</td>\n",
       "      <td>70</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>52.00</td>\n",
       "      <td>166.0</td>\n",
       "      <td>18.87</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.1</td>\n",
       "      <td>180.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3406</th>\n",
       "      <td>5964</td>\n",
       "      <td>58</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>59.40</td>\n",
       "      <td>156.9</td>\n",
       "      <td>24.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.6</td>\n",
       "      <td>130.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3407</th>\n",
       "      <td>5966</td>\n",
       "      <td>40</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>116.60</td>\n",
       "      <td>178.1</td>\n",
       "      <td>36.76</td>\n",
       "      <td>1.0</td>\n",
       "      <td>124.8</td>\n",
       "      <td>127.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3408</th>\n",
       "      <td>5967</td>\n",
       "      <td>61</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>96.10</td>\n",
       "      <td>175.7</td>\n",
       "      <td>31.13</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.8</td>\n",
       "      <td>138.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3409</th>\n",
       "      <td>5968</td>\n",
       "      <td>34</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>81.50</td>\n",
       "      <td>168.1</td>\n",
       "      <td>28.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.3</td>\n",
       "      <td>108.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3410</th>\n",
       "      <td>5969</td>\n",
       "      <td>20</td>\n",
       "      <td>M</td>\n",
       "      <td>west</td>\n",
       "      <td>72.90</td>\n",
       "      <td>157.4</td>\n",
       "      <td>29.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3411</th>\n",
       "      <td>5972</td>\n",
       "      <td>45</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>84.30</td>\n",
       "      <td>166.9</td>\n",
       "      <td>30.26</td>\n",
       "      <td>1.0</td>\n",
       "      <td>101.4</td>\n",
       "      <td>125.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3412</th>\n",
       "      <td>5973</td>\n",
       "      <td>44</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>57.10</td>\n",
       "      <td>161.4</td>\n",
       "      <td>21.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.8</td>\n",
       "      <td>138.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3413</th>\n",
       "      <td>5974</td>\n",
       "      <td>22</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>106.60</td>\n",
       "      <td>190.0</td>\n",
       "      <td>29.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>116.3</td>\n",
       "      <td>126.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3414</th>\n",
       "      <td>5976</td>\n",
       "      <td>77</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>75.70</td>\n",
       "      <td>163.0</td>\n",
       "      <td>28.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>104.8</td>\n",
       "      <td>148.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3415</th>\n",
       "      <td>5978</td>\n",
       "      <td>49</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>94.20</td>\n",
       "      <td>184.5</td>\n",
       "      <td>27.67</td>\n",
       "      <td>0.0</td>\n",
       "      <td>98.2</td>\n",
       "      <td>117.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3416</th>\n",
       "      <td>5979</td>\n",
       "      <td>73</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>62.80</td>\n",
       "      <td>150.8</td>\n",
       "      <td>27.62</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3417</th>\n",
       "      <td>5981</td>\n",
       "      <td>20</td>\n",
       "      <td>M</td>\n",
       "      <td>north</td>\n",
       "      <td>63.50</td>\n",
       "      <td>169.9</td>\n",
       "      <td>22.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3418</th>\n",
       "      <td>5982</td>\n",
       "      <td>49</td>\n",
       "      <td>M</td>\n",
       "      <td>south</td>\n",
       "      <td>79.20</td>\n",
       "      <td>152.6</td>\n",
       "      <td>34.01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>107.3</td>\n",
       "      <td>102.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Never Counsulted</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3419</th>\n",
       "      <td>5983</td>\n",
       "      <td>41</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>122.40</td>\n",
       "      <td>189.5</td>\n",
       "      <td>34.08</td>\n",
       "      <td>1.0</td>\n",
       "      <td>114.3</td>\n",
       "      <td>133.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3420</th>\n",
       "      <td>5984</td>\n",
       "      <td>58</td>\n",
       "      <td>M</td>\n",
       "      <td>west</td>\n",
       "      <td>85.14</td>\n",
       "      <td>160.6</td>\n",
       "      <td>33.01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.1</td>\n",
       "      <td>135.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3421</th>\n",
       "      <td>5985</td>\n",
       "      <td>69</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>83.50</td>\n",
       "      <td>183.5</td>\n",
       "      <td>24.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3422</th>\n",
       "      <td>5986</td>\n",
       "      <td>23</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>57.00</td>\n",
       "      <td>158.4</td>\n",
       "      <td>22.72</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.2</td>\n",
       "      <td>108.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3423</th>\n",
       "      <td>5987</td>\n",
       "      <td>60</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>99.40</td>\n",
       "      <td>173.2</td>\n",
       "      <td>33.14</td>\n",
       "      <td>1.0</td>\n",
       "      <td>112.6</td>\n",
       "      <td>124.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3424</th>\n",
       "      <td>5988</td>\n",
       "      <td>61</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>66.00</td>\n",
       "      <td>152.7</td>\n",
       "      <td>28.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3425</th>\n",
       "      <td>5989</td>\n",
       "      <td>57</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>73.60</td>\n",
       "      <td>173.0</td>\n",
       "      <td>24.59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84.3</td>\n",
       "      <td>114.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3426</th>\n",
       "      <td>5990</td>\n",
       "      <td>70</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>77.40</td>\n",
       "      <td>156.9</td>\n",
       "      <td>31.44</td>\n",
       "      <td>1.0</td>\n",
       "      <td>109.1</td>\n",
       "      <td>137.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3427</th>\n",
       "      <td>5991</td>\n",
       "      <td>82</td>\n",
       "      <td>M</td>\n",
       "      <td>west</td>\n",
       "      <td>53.70</td>\n",
       "      <td>149.5</td>\n",
       "      <td>24.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.8</td>\n",
       "      <td>157.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3428</th>\n",
       "      <td>5993</td>\n",
       "      <td>48</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>85.40</td>\n",
       "      <td>178.6</td>\n",
       "      <td>26.77</td>\n",
       "      <td>0.0</td>\n",
       "      <td>92.5</td>\n",
       "      <td>123.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3429</th>\n",
       "      <td>5994</td>\n",
       "      <td>70</td>\n",
       "      <td>F</td>\n",
       "      <td>south</td>\n",
       "      <td>66.00</td>\n",
       "      <td>167.8</td>\n",
       "      <td>23.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>92.1</td>\n",
       "      <td>127.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3430</th>\n",
       "      <td>5995</td>\n",
       "      <td>77</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>109.30</td>\n",
       "      <td>185.8</td>\n",
       "      <td>31.66</td>\n",
       "      <td>1.0</td>\n",
       "      <td>117.2</td>\n",
       "      <td>149.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3431</th>\n",
       "      <td>5996</td>\n",
       "      <td>49</td>\n",
       "      <td>F</td>\n",
       "      <td>east</td>\n",
       "      <td>86.60</td>\n",
       "      <td>168.9</td>\n",
       "      <td>30.36</td>\n",
       "      <td>1.0</td>\n",
       "      <td>99.5</td>\n",
       "      <td>130.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3432</th>\n",
       "      <td>5997</td>\n",
       "      <td>30</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>78.00</td>\n",
       "      <td>174.9</td>\n",
       "      <td>25.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.2</td>\n",
       "      <td>126.0</td>\n",
       "      <td>...</td>\n",
       "      <td>clinic</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3433</th>\n",
       "      <td>5998</td>\n",
       "      <td>75</td>\n",
       "      <td>F</td>\n",
       "      <td>north</td>\n",
       "      <td>78.80</td>\n",
       "      <td>176.5</td>\n",
       "      <td>25.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.4</td>\n",
       "      <td>129.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3434</th>\n",
       "      <td>5999</td>\n",
       "      <td>35</td>\n",
       "      <td>M</td>\n",
       "      <td>east</td>\n",
       "      <td>62.30</td>\n",
       "      <td>164.2</td>\n",
       "      <td>23.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.2</td>\n",
       "      <td>95.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Private Hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3435 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  Age Gender Region  Weight  Height  Body Mass Index  Obesity  \\\n",
       "0              0   65      M   east   56.00   162.1            21.31      0.0   \n",
       "1              1   36      M  south   60.20   162.2            22.88      0.0   \n",
       "2              2   66      M   east   83.90   162.5            31.77      1.0   \n",
       "3              3   54      M   east   69.40   160.5            26.94      0.0   \n",
       "4              4   63      M  north   73.10   159.2            28.84      0.0   \n",
       "5              5   26      F   east  119.30   193.2            31.96      1.0   \n",
       "6              6   66      F  north   85.10   172.1            28.73      0.0   \n",
       "7              8   53      M   east   75.20   174.1            24.81      0.0   \n",
       "8             11   47      M  south   49.00   155.3            20.32      0.0   \n",
       "9             12   62      F  south   56.10   165.5            20.48      0.0   \n",
       "10            13   36      F  south   78.80   183.8            23.33      0.0   \n",
       "11            14   60      M  south   68.30   146.7            31.74      1.0   \n",
       "12            15   30      M  south   68.30   157.8            27.43      0.0   \n",
       "13            16   47      M  south   62.10   149.6            27.75      0.0   \n",
       "14            17   53      M   east   94.90   178.0            29.95      0.0   \n",
       "15            18   28      M   east   65.00   156.8            26.44      0.0   \n",
       "16            22   38      M  south   67.00   153.7            28.36      0.0   \n",
       "17            26   74      F  north   63.60   172.4            21.40      0.0   \n",
       "18            27   46      F   east   88.60   172.9            29.64      0.0   \n",
       "19            28   58      F  north  179.00   181.3            54.46      1.0   \n",
       "20            29   35      F   east   66.80   181.9            20.19      0.0   \n",
       "21            31   81      M   east   68.40   164.2            25.37      0.0   \n",
       "22            32   44      M  south  105.40   145.3            49.92      1.0   \n",
       "23            33   53      F  south   77.10   168.7            27.09      0.0   \n",
       "24            34   38      F  south   80.50   171.0            27.53      0.0   \n",
       "25            35   32      F  south   86.00   182.1            25.93      0.0   \n",
       "26            36   52      M  south   85.30   148.0            38.94      1.0   \n",
       "27            37   72      F  south   58.80   161.4            22.57      0.0   \n",
       "28            38   35      M  north   87.50   174.4            28.77      0.0   \n",
       "29            39   48      F  south  107.50   170.3            37.07      1.0   \n",
       "...          ...  ...    ...    ...     ...     ...              ...      ...   \n",
       "3405        5963   70      F  south   52.00   166.0            18.87      0.0   \n",
       "3406        5964   58      M   east   59.40   156.9            24.13      0.0   \n",
       "3407        5966   40      F   east  116.60   178.1            36.76      1.0   \n",
       "3408        5967   61      F   east   96.10   175.7            31.13      1.0   \n",
       "3409        5968   34      F  south   81.50   168.1            28.84      0.0   \n",
       "3410        5969   20      M   west   72.90   157.4            29.43      0.0   \n",
       "3411        5972   45      F  south   84.30   166.9            30.26      1.0   \n",
       "3412        5973   44      M   east   57.10   161.4            21.92      0.0   \n",
       "3413        5974   22      F   east  106.60   190.0            29.53      0.0   \n",
       "3414        5976   77      F  south   75.70   163.0            28.49      0.0   \n",
       "3415        5978   49      F   east   94.20   184.5            27.67      0.0   \n",
       "3416        5979   73      M   east   62.80   150.8            27.62      0.0   \n",
       "3417        5981   20      M  north   63.50   169.9            22.00      0.0   \n",
       "3418        5982   49      M  south   79.20   152.6            34.01      1.0   \n",
       "3419        5983   41      F  north  122.40   189.5            34.08      1.0   \n",
       "3420        5984   58      M   west   85.14   160.6            33.01      1.0   \n",
       "3421        5985   69      F   east   83.50   183.5            24.80      0.0   \n",
       "3422        5986   23      M   east   57.00   158.4            22.72      0.0   \n",
       "3423        5987   60      F   east   99.40   173.2            33.14      1.0   \n",
       "3424        5988   61      M   east   66.00   152.7            28.31      0.0   \n",
       "3425        5989   57      M   east   73.60   173.0            24.59      0.0   \n",
       "3426        5990   70      M   east   77.40   156.9            31.44      1.0   \n",
       "3427        5991   82      M   west   53.70   149.5            24.03      0.0   \n",
       "3428        5993   48      F  north   85.40   178.6            26.77      0.0   \n",
       "3429        5994   70      F  south   66.00   167.8            23.44      0.0   \n",
       "3430        5995   77      F   east  109.30   185.8            31.66      1.0   \n",
       "3431        5996   49      F   east   86.60   168.9            30.36      1.0   \n",
       "3432        5997   30      F  north   78.00   174.9            25.50      0.0   \n",
       "3433        5998   75      F  north   78.80   176.5            25.30      0.0   \n",
       "3434        5999   35      M   east   62.30   164.2            23.11      0.0   \n",
       "\n",
       "      Waist  Maximum Blood Pressure ...         Source of Care  \\\n",
       "0      83.6                   135.0 ...   Governament Hospital   \n",
       "1      76.6                    96.0 ...       Never Counsulted   \n",
       "2     113.2                   115.0 ...       Never Counsulted   \n",
       "3      77.9                   110.0 ...       Private Hospital   \n",
       "4      89.3                   132.0 ...                 clinic   \n",
       "5     117.9                   129.0 ...       Private Hospital   \n",
       "6      99.2                   137.0 ...       Private Hospital   \n",
       "7      85.6                   110.0 ...       Private Hospital   \n",
       "8      78.6                   146.0 ...       Private Hospital   \n",
       "9      78.7                   201.0 ...       Private Hospital   \n",
       "10     86.8                   108.0 ...                 clinic   \n",
       "11     88.5                   153.0 ...       Private Hospital   \n",
       "12     89.1                   105.0 ...       Private Hospital   \n",
       "13     89.5                   116.0 ...       Private Hospital   \n",
       "14    104.8                   112.0 ...       Private Hospital   \n",
       "15     85.9                   105.0 ...       Never Counsulted   \n",
       "16     90.0                   144.0 ...       Private Hospital   \n",
       "17     86.1                   158.0 ...                 clinic   \n",
       "18    100.9                   122.0 ...       Private Hospital   \n",
       "19    152.5                   131.0 ...       Private Hospital   \n",
       "20     81.8                    93.0 ...       Never Counsulted   \n",
       "21     89.9                   134.0 ...                 clinic   \n",
       "22    132.6                   140.0 ...       Private Hospital   \n",
       "23    102.6                   124.0 ...       Private Hospital   \n",
       "24     90.0                   107.0 ...                 clinic   \n",
       "25     95.3                   115.0 ...       Private Hospital   \n",
       "26     95.4                   114.0 ...                 clinic   \n",
       "27     88.5                   109.0 ...                 clinic   \n",
       "28     95.2                   148.0 ...       Private Hospital   \n",
       "29    121.1                   126.0 ...       Private Hospital   \n",
       "...     ...                     ... ...                    ...   \n",
       "3405   81.1                   180.0 ...       Private Hospital   \n",
       "3406   88.6                   130.0 ...       Private Hospital   \n",
       "3407  124.8                   127.0 ...       Private Hospital   \n",
       "3408  113.8                   138.0 ...                 clinic   \n",
       "3409  100.3                   108.0 ...       Private Hospital   \n",
       "3410   94.0                   126.0 ...                 clinic   \n",
       "3411  101.4                   125.0 ...       Never Counsulted   \n",
       "3412   77.8                   138.0 ...                 clinic   \n",
       "3413  116.3                   126.0 ...       Never Counsulted   \n",
       "3414  104.8                   148.0 ...       Private Hospital   \n",
       "3415   98.2                   117.0 ...       Private Hospital   \n",
       "3416   89.0                   154.0 ...       Private Hospital   \n",
       "3417   80.0                   109.0 ...                 clinic   \n",
       "3418  107.3                   102.0 ...       Never Counsulted   \n",
       "3419  114.3                   133.0 ...                 clinic   \n",
       "3420  113.1                   135.0 ...                 clinic   \n",
       "3421  100.0                   141.0 ...       Private Hospital   \n",
       "3422   76.2                   108.0 ...       Private Hospital   \n",
       "3423  112.6                   124.0 ...       Private Hospital   \n",
       "3424   77.0                   132.0 ...       Private Hospital   \n",
       "3425   84.3                   114.0 ...       Private Hospital   \n",
       "3426  109.1                   137.0 ...       Private Hospital   \n",
       "3427   88.8                   157.0 ...       Private Hospital   \n",
       "3428   92.5                   123.0 ...       Private Hospital   \n",
       "3429   92.1                   127.0 ...       Private Hospital   \n",
       "3430  117.2                   149.0 ...       Private Hospital   \n",
       "3431   99.5                   130.0 ...       Private Hospital   \n",
       "3432   89.2                   126.0 ...                 clinic   \n",
       "3433  100.4                   129.0 ...       Private Hospital   \n",
       "3434   87.2                    95.0 ...       Private Hospital   \n",
       "\n",
       "      Alcohol Consumption  HyperTension  Family  HyperTension  Diabetes  \\\n",
       "0                       1           0.0                     0       0.0   \n",
       "1                       0           0.0                     0       0.0   \n",
       "2                       1           0.0                     0       1.0   \n",
       "3                       1           0.0                     0       0.0   \n",
       "4                       0           1.0                     0       0.0   \n",
       "5                       0           0.0                     1       0.0   \n",
       "6                       0           1.0                     0       0.0   \n",
       "7                       1           1.0                     1       0.0   \n",
       "8                       0           1.0                     0       0.0   \n",
       "9                       1           1.0                     0       0.0   \n",
       "10                      0           0.0                     0       0.0   \n",
       "11                      1           1.0                     0       0.0   \n",
       "12                      1           0.0                     1       0.0   \n",
       "13                      0           0.0                     1       0.0   \n",
       "14                      0           0.0                     1       0.0   \n",
       "15                      0           0.0                     1       0.0   \n",
       "16                      0           1.0                     1       0.0   \n",
       "17                      1           1.0                     1       0.0   \n",
       "18                      1           0.0                     0       1.0   \n",
       "19                      1           1.0                     0       0.0   \n",
       "20                      0           0.0                     1       0.0   \n",
       "21                      0           1.0                     0       1.0   \n",
       "22                      0           1.0                     1       0.0   \n",
       "23                      0           0.0                     1       1.0   \n",
       "24                      0           0.0                     0       0.0   \n",
       "25                      0           0.0                     0       0.0   \n",
       "26                      0           1.0                     1       0.0   \n",
       "27                      0           0.0                     0       0.0   \n",
       "28                      0           1.0                     1       0.0   \n",
       "29                      1           0.0                     0       1.0   \n",
       "...                   ...           ...                   ...       ...   \n",
       "3405                    0           1.0                     0       0.0   \n",
       "3406                    0           0.0                     0       0.0   \n",
       "3407                    1           0.0                     0       0.0   \n",
       "3408                    1           0.0                     0       0.0   \n",
       "3409                    0           0.0                     0       0.0   \n",
       "3410                    0           0.0                     0       0.0   \n",
       "3411                    1           0.0                     0       0.0   \n",
       "3412                    0           0.0                     0       0.0   \n",
       "3413                    0           0.0                     0       0.0   \n",
       "3414                    1           1.0                     0       0.0   \n",
       "3415                    0           1.0                     0       0.0   \n",
       "3416                    0           1.0                     1       1.0   \n",
       "3417                    0           0.0                     0       0.0   \n",
       "3418                    0           0.0                     1       0.0   \n",
       "3419                    0           1.0                     0       0.0   \n",
       "3420                    0           0.0                     0       0.0   \n",
       "3421                    0           1.0                     0       1.0   \n",
       "3422                    0           0.0                     0       0.0   \n",
       "3423                    1           0.0                     0       0.0   \n",
       "3424                    0           0.0                     0       0.0   \n",
       "3425                    0           0.0                     0       0.0   \n",
       "3426                    0           1.0                     0       0.0   \n",
       "3427                    0           1.0                     0       0.0   \n",
       "3428                    1           0.0                     0       0.0   \n",
       "3429                    0           0.0                     0       0.0   \n",
       "3430                    1           1.0                     0       0.0   \n",
       "3431                    0           1.0                     1       0.0   \n",
       "3432                    0           0.0                     1       0.0   \n",
       "3433                    1           1.0                     0       1.0   \n",
       "3434                    1           0.0                     0       0.0   \n",
       "\n",
       "      Family Diabetes  Hepatitis Family Hepatitis  Chronic Fatigue  ALF  \n",
       "0                   1        1.0              0.0              0.0  0.0  \n",
       "1                   0        0.0              0.0              0.0  0.0  \n",
       "2                   0        0.0              0.0              0.0  0.0  \n",
       "3                   0        0.0              0.0              0.0  0.0  \n",
       "4                   0        0.0              0.0              0.0  0.0  \n",
       "5                   0        0.0              0.0              0.0  0.0  \n",
       "6                   0        0.0              0.0              0.0  0.0  \n",
       "7                   0        0.0              0.0              0.0  0.0  \n",
       "8                   0        0.0              0.0              0.0  0.0  \n",
       "9                   0        0.0              0.0              0.0  0.0  \n",
       "10                  1        0.0              0.0              0.0  0.0  \n",
       "11                  1        0.0              0.0              0.0  0.0  \n",
       "12                  1        0.0              0.0              0.0  0.0  \n",
       "13                  1        0.0              0.0              0.0  0.0  \n",
       "14                  0        0.0              0.0              0.0  1.0  \n",
       "15                  0        0.0              0.0              0.0  0.0  \n",
       "16                  1        0.0              0.0              0.0  0.0  \n",
       "17                  1        0.0              0.0              0.0  0.0  \n",
       "18                  1        0.0              0.0              0.0  0.0  \n",
       "19                  0        0.0              0.0              0.0  0.0  \n",
       "20                  1        0.0              0.0              0.0  0.0  \n",
       "21                  1        1.0              0.0              1.0  0.0  \n",
       "22                  0        0.0              0.0              0.0  0.0  \n",
       "23                  1        0.0              0.0              0.0  0.0  \n",
       "24                  0        0.0              0.0              0.0  0.0  \n",
       "25                  1        0.0              0.0              0.0  0.0  \n",
       "26                  1        0.0              0.0              0.0  0.0  \n",
       "27                  0        0.0              0.0              0.0  0.0  \n",
       "28                  0        0.0              1.0              0.0  0.0  \n",
       "29                  0        0.0              0.0              0.0  0.0  \n",
       "...               ...        ...              ...              ...  ...  \n",
       "3405                0        0.0              0.0              0.0  0.0  \n",
       "3406                0        0.0              0.0              0.0  0.0  \n",
       "3407                0        0.0              0.0              0.0  0.0  \n",
       "3408                1        0.0              0.0              0.0  0.0  \n",
       "3409                1        0.0              0.0              0.0  0.0  \n",
       "3410                0        0.0              0.0              0.0  0.0  \n",
       "3411                0        0.0              0.0              0.0  0.0  \n",
       "3412                1        0.0              0.0              0.0  0.0  \n",
       "3413                1        0.0              0.0              0.0  0.0  \n",
       "3414                1        0.0              0.0              0.0  0.0  \n",
       "3415                0        0.0              0.0              0.0  0.0  \n",
       "3416                1        1.0              0.0              0.0  1.0  \n",
       "3417                0        0.0              0.0              0.0  0.0  \n",
       "3418                0        0.0              0.0              0.0  0.0  \n",
       "3419                0        0.0              0.0              0.0  0.0  \n",
       "3420                0        0.0              1.0              0.0  1.0  \n",
       "3421                1        0.0              0.0              0.0  1.0  \n",
       "3422                0        0.0              0.0              0.0  0.0  \n",
       "3423                0        0.0              0.0              0.0  0.0  \n",
       "3424                0        0.0              0.0              0.0  1.0  \n",
       "3425                0        0.0              0.0              0.0  0.0  \n",
       "3426                0        0.0              0.0              0.0  0.0  \n",
       "3427                0        0.0              0.0              0.0  0.0  \n",
       "3428                0        0.0              0.0              0.0  0.0  \n",
       "3429                0        0.0              0.0              0.0  0.0  \n",
       "3430                0        0.0              0.0              0.0  1.0  \n",
       "3431                0        0.0              0.0              0.0  0.0  \n",
       "3432                1        0.0              0.0              0.0  0.0  \n",
       "3433                1        0.0              0.0              0.0  0.0  \n",
       "3434                0        0.0              0.0              0.0  0.0  \n",
       "\n",
       "[3435 rows x 27 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=df.fillna(df.mean())\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(['Unnamed: 0','Physical Activity','PVD', 'Source of Care','Family  HyperTension','Family Hepatitis','Chronic Fatigue','PVD','Region'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1902
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1193,
     "status": "ok",
     "timestamp": 1554188292613,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "eK-_tXIe2TXD",
    "outputId": "1aae6ebc-d8a4-4ce1-b4be-d4cabdaac8ea"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Height</th>\n",
       "      <th>Body Mass Index</th>\n",
       "      <th>Obesity</th>\n",
       "      <th>Waist</th>\n",
       "      <th>Maximum Blood Pressure</th>\n",
       "      <th>Minimum Blood Pressure</th>\n",
       "      <th>Good Cholesterol</th>\n",
       "      <th>Bad Cholesterol</th>\n",
       "      <th>Total Cholesterol</th>\n",
       "      <th>Dyslipidemia</th>\n",
       "      <th>Alcohol Consumption</th>\n",
       "      <th>HyperTension</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>Family Diabetes</th>\n",
       "      <th>Hepatitis</th>\n",
       "      <th>ALF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>65</td>\n",
       "      <td>1</td>\n",
       "      <td>56.00</td>\n",
       "      <td>162.1</td>\n",
       "      <td>21.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83.6</td>\n",
       "      <td>135.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>249.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>60.20</td>\n",
       "      <td>162.2</td>\n",
       "      <td>22.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.6</td>\n",
       "      <td>96.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>66</td>\n",
       "      <td>1</td>\n",
       "      <td>83.90</td>\n",
       "      <td>162.5</td>\n",
       "      <td>31.77</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.2</td>\n",
       "      <td>115.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>69.40</td>\n",
       "      <td>160.5</td>\n",
       "      <td>26.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.9</td>\n",
       "      <td>110.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>73.10</td>\n",
       "      <td>159.2</td>\n",
       "      <td>28.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.3</td>\n",
       "      <td>132.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>119.30</td>\n",
       "      <td>193.2</td>\n",
       "      <td>31.96</td>\n",
       "      <td>1.0</td>\n",
       "      <td>117.9</td>\n",
       "      <td>129.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>66</td>\n",
       "      <td>0</td>\n",
       "      <td>85.10</td>\n",
       "      <td>172.1</td>\n",
       "      <td>28.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>99.2</td>\n",
       "      <td>137.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>75.20</td>\n",
       "      <td>174.1</td>\n",
       "      <td>24.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.6</td>\n",
       "      <td>110.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "      <td>49.00</td>\n",
       "      <td>155.3</td>\n",
       "      <td>20.32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.6</td>\n",
       "      <td>146.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>56.10</td>\n",
       "      <td>165.5</td>\n",
       "      <td>20.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.7</td>\n",
       "      <td>201.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>226.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>78.80</td>\n",
       "      <td>183.8</td>\n",
       "      <td>23.33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.8</td>\n",
       "      <td>108.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>68.30</td>\n",
       "      <td>146.7</td>\n",
       "      <td>31.74</td>\n",
       "      <td>1.0</td>\n",
       "      <td>88.5</td>\n",
       "      <td>153.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>68.30</td>\n",
       "      <td>157.8</td>\n",
       "      <td>27.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.1</td>\n",
       "      <td>105.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "      <td>62.10</td>\n",
       "      <td>149.6</td>\n",
       "      <td>27.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.5</td>\n",
       "      <td>116.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>94.90</td>\n",
       "      <td>178.0</td>\n",
       "      <td>29.95</td>\n",
       "      <td>0.0</td>\n",
       "      <td>104.8</td>\n",
       "      <td>112.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>65.00</td>\n",
       "      <td>156.8</td>\n",
       "      <td>26.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85.9</td>\n",
       "      <td>105.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>67.00</td>\n",
       "      <td>153.7</td>\n",
       "      <td>28.36</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>74</td>\n",
       "      <td>0</td>\n",
       "      <td>63.60</td>\n",
       "      <td>172.4</td>\n",
       "      <td>21.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.1</td>\n",
       "      <td>158.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>88.60</td>\n",
       "      <td>172.9</td>\n",
       "      <td>29.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.9</td>\n",
       "      <td>122.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>58</td>\n",
       "      <td>0</td>\n",
       "      <td>179.00</td>\n",
       "      <td>181.3</td>\n",
       "      <td>54.46</td>\n",
       "      <td>1.0</td>\n",
       "      <td>152.5</td>\n",
       "      <td>131.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>66.80</td>\n",
       "      <td>181.9</td>\n",
       "      <td>20.19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.8</td>\n",
       "      <td>93.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
       "      <td>68.40</td>\n",
       "      <td>164.2</td>\n",
       "      <td>25.37</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>134.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>105.40</td>\n",
       "      <td>145.3</td>\n",
       "      <td>49.92</td>\n",
       "      <td>1.0</td>\n",
       "      <td>132.6</td>\n",
       "      <td>140.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "      <td>77.10</td>\n",
       "      <td>168.7</td>\n",
       "      <td>27.09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>102.6</td>\n",
       "      <td>124.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>80.50</td>\n",
       "      <td>171.0</td>\n",
       "      <td>27.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>239.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>86.00</td>\n",
       "      <td>182.1</td>\n",
       "      <td>25.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.3</td>\n",
       "      <td>115.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>85.30</td>\n",
       "      <td>148.0</td>\n",
       "      <td>38.94</td>\n",
       "      <td>1.0</td>\n",
       "      <td>95.4</td>\n",
       "      <td>114.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>72</td>\n",
       "      <td>0</td>\n",
       "      <td>58.80</td>\n",
       "      <td>161.4</td>\n",
       "      <td>22.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.5</td>\n",
       "      <td>109.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>87.50</td>\n",
       "      <td>174.4</td>\n",
       "      <td>28.77</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.2</td>\n",
       "      <td>148.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>107.50</td>\n",
       "      <td>170.3</td>\n",
       "      <td>37.07</td>\n",
       "      <td>1.0</td>\n",
       "      <td>121.1</td>\n",
       "      <td>126.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3405</th>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>52.00</td>\n",
       "      <td>166.0</td>\n",
       "      <td>18.87</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.1</td>\n",
       "      <td>180.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3406</th>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>59.40</td>\n",
       "      <td>156.9</td>\n",
       "      <td>24.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.6</td>\n",
       "      <td>130.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3407</th>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>116.60</td>\n",
       "      <td>178.1</td>\n",
       "      <td>36.76</td>\n",
       "      <td>1.0</td>\n",
       "      <td>124.8</td>\n",
       "      <td>127.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3408</th>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>96.10</td>\n",
       "      <td>175.7</td>\n",
       "      <td>31.13</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.8</td>\n",
       "      <td>138.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3409</th>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>81.50</td>\n",
       "      <td>168.1</td>\n",
       "      <td>28.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.3</td>\n",
       "      <td>108.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3410</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>72.90</td>\n",
       "      <td>157.4</td>\n",
       "      <td>29.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3411</th>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>84.30</td>\n",
       "      <td>166.9</td>\n",
       "      <td>30.26</td>\n",
       "      <td>1.0</td>\n",
       "      <td>101.4</td>\n",
       "      <td>125.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3412</th>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>57.10</td>\n",
       "      <td>161.4</td>\n",
       "      <td>21.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.8</td>\n",
       "      <td>138.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3413</th>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>106.60</td>\n",
       "      <td>190.0</td>\n",
       "      <td>29.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>116.3</td>\n",
       "      <td>126.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3414</th>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>75.70</td>\n",
       "      <td>163.0</td>\n",
       "      <td>28.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>104.8</td>\n",
       "      <td>148.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3415</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>94.20</td>\n",
       "      <td>184.5</td>\n",
       "      <td>27.67</td>\n",
       "      <td>0.0</td>\n",
       "      <td>98.2</td>\n",
       "      <td>117.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3416</th>\n",
       "      <td>73</td>\n",
       "      <td>1</td>\n",
       "      <td>62.80</td>\n",
       "      <td>150.8</td>\n",
       "      <td>27.62</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3417</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>63.50</td>\n",
       "      <td>169.9</td>\n",
       "      <td>22.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3418</th>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>79.20</td>\n",
       "      <td>152.6</td>\n",
       "      <td>34.01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>107.3</td>\n",
       "      <td>102.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3419</th>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>122.40</td>\n",
       "      <td>189.5</td>\n",
       "      <td>34.08</td>\n",
       "      <td>1.0</td>\n",
       "      <td>114.3</td>\n",
       "      <td>133.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3420</th>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>85.14</td>\n",
       "      <td>160.6</td>\n",
       "      <td>33.01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.1</td>\n",
       "      <td>135.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3421</th>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>83.50</td>\n",
       "      <td>183.5</td>\n",
       "      <td>24.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3422</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>57.00</td>\n",
       "      <td>158.4</td>\n",
       "      <td>22.72</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.2</td>\n",
       "      <td>108.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3423</th>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>99.40</td>\n",
       "      <td>173.2</td>\n",
       "      <td>33.14</td>\n",
       "      <td>1.0</td>\n",
       "      <td>112.6</td>\n",
       "      <td>124.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3424</th>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>66.00</td>\n",
       "      <td>152.7</td>\n",
       "      <td>28.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3425</th>\n",
       "      <td>57</td>\n",
       "      <td>1</td>\n",
       "      <td>73.60</td>\n",
       "      <td>173.0</td>\n",
       "      <td>24.59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84.3</td>\n",
       "      <td>114.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3426</th>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>77.40</td>\n",
       "      <td>156.9</td>\n",
       "      <td>31.44</td>\n",
       "      <td>1.0</td>\n",
       "      <td>109.1</td>\n",
       "      <td>137.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3427</th>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>53.70</td>\n",
       "      <td>149.5</td>\n",
       "      <td>24.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88.8</td>\n",
       "      <td>157.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3428</th>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>85.40</td>\n",
       "      <td>178.6</td>\n",
       "      <td>26.77</td>\n",
       "      <td>0.0</td>\n",
       "      <td>92.5</td>\n",
       "      <td>123.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>226.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3429</th>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>66.00</td>\n",
       "      <td>167.8</td>\n",
       "      <td>23.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>92.1</td>\n",
       "      <td>127.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3430</th>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>109.30</td>\n",
       "      <td>185.8</td>\n",
       "      <td>31.66</td>\n",
       "      <td>1.0</td>\n",
       "      <td>117.2</td>\n",
       "      <td>149.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3431</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>86.60</td>\n",
       "      <td>168.9</td>\n",
       "      <td>30.36</td>\n",
       "      <td>1.0</td>\n",
       "      <td>99.5</td>\n",
       "      <td>130.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3432</th>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>78.00</td>\n",
       "      <td>174.9</td>\n",
       "      <td>25.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.2</td>\n",
       "      <td>126.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3433</th>\n",
       "      <td>75</td>\n",
       "      <td>0</td>\n",
       "      <td>78.80</td>\n",
       "      <td>176.5</td>\n",
       "      <td>25.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.4</td>\n",
       "      <td>129.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3434</th>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>62.30</td>\n",
       "      <td>164.2</td>\n",
       "      <td>23.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.2</td>\n",
       "      <td>95.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3435 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Age  Gender  Weight  Height  Body Mass Index  Obesity  Waist  \\\n",
       "0      65       1   56.00   162.1            21.31      0.0   83.6   \n",
       "1      36       1   60.20   162.2            22.88      0.0   76.6   \n",
       "2      66       1   83.90   162.5            31.77      1.0  113.2   \n",
       "3      54       1   69.40   160.5            26.94      0.0   77.9   \n",
       "4      63       1   73.10   159.2            28.84      0.0   89.3   \n",
       "5      26       0  119.30   193.2            31.96      1.0  117.9   \n",
       "6      66       0   85.10   172.1            28.73      0.0   99.2   \n",
       "7      53       1   75.20   174.1            24.81      0.0   85.6   \n",
       "8      47       1   49.00   155.3            20.32      0.0   78.6   \n",
       "9      62       0   56.10   165.5            20.48      0.0   78.7   \n",
       "10     36       0   78.80   183.8            23.33      0.0   86.8   \n",
       "11     60       1   68.30   146.7            31.74      1.0   88.5   \n",
       "12     30       1   68.30   157.8            27.43      0.0   89.1   \n",
       "13     47       1   62.10   149.6            27.75      0.0   89.5   \n",
       "14     53       1   94.90   178.0            29.95      0.0  104.8   \n",
       "15     28       1   65.00   156.8            26.44      0.0   85.9   \n",
       "16     38       1   67.00   153.7            28.36      0.0   90.0   \n",
       "17     74       0   63.60   172.4            21.40      0.0   86.1   \n",
       "18     46       0   88.60   172.9            29.64      0.0  100.9   \n",
       "19     58       0  179.00   181.3            54.46      1.0  152.5   \n",
       "20     35       0   66.80   181.9            20.19      0.0   81.8   \n",
       "21     81       1   68.40   164.2            25.37      0.0   89.9   \n",
       "22     44       1  105.40   145.3            49.92      1.0  132.6   \n",
       "23     53       0   77.10   168.7            27.09      0.0  102.6   \n",
       "24     38       0   80.50   171.0            27.53      0.0   90.0   \n",
       "25     32       0   86.00   182.1            25.93      0.0   95.3   \n",
       "26     52       1   85.30   148.0            38.94      1.0   95.4   \n",
       "27     72       0   58.80   161.4            22.57      0.0   88.5   \n",
       "28     35       1   87.50   174.4            28.77      0.0   95.2   \n",
       "29     48       0  107.50   170.3            37.07      1.0  121.1   \n",
       "...   ...     ...     ...     ...              ...      ...    ...   \n",
       "3405   70       0   52.00   166.0            18.87      0.0   81.1   \n",
       "3406   58       1   59.40   156.9            24.13      0.0   88.6   \n",
       "3407   40       0  116.60   178.1            36.76      1.0  124.8   \n",
       "3408   61       0   96.10   175.7            31.13      1.0  113.8   \n",
       "3409   34       0   81.50   168.1            28.84      0.0  100.3   \n",
       "3410   20       1   72.90   157.4            29.43      0.0   94.0   \n",
       "3411   45       0   84.30   166.9            30.26      1.0  101.4   \n",
       "3412   44       1   57.10   161.4            21.92      0.0   77.8   \n",
       "3413   22       0  106.60   190.0            29.53      0.0  116.3   \n",
       "3414   77       0   75.70   163.0            28.49      0.0  104.8   \n",
       "3415   49       0   94.20   184.5            27.67      0.0   98.2   \n",
       "3416   73       1   62.80   150.8            27.62      0.0   89.0   \n",
       "3417   20       1   63.50   169.9            22.00      0.0   80.0   \n",
       "3418   49       1   79.20   152.6            34.01      1.0  107.3   \n",
       "3419   41       0  122.40   189.5            34.08      1.0  114.3   \n",
       "3420   58       1   85.14   160.6            33.01      1.0  113.1   \n",
       "3421   69       0   83.50   183.5            24.80      0.0  100.0   \n",
       "3422   23       1   57.00   158.4            22.72      0.0   76.2   \n",
       "3423   60       0   99.40   173.2            33.14      1.0  112.6   \n",
       "3424   61       1   66.00   152.7            28.31      0.0   77.0   \n",
       "3425   57       1   73.60   173.0            24.59      0.0   84.3   \n",
       "3426   70       1   77.40   156.9            31.44      1.0  109.1   \n",
       "3427   82       1   53.70   149.5            24.03      0.0   88.8   \n",
       "3428   48       0   85.40   178.6            26.77      0.0   92.5   \n",
       "3429   70       0   66.00   167.8            23.44      0.0   92.1   \n",
       "3430   77       0  109.30   185.8            31.66      1.0  117.2   \n",
       "3431   49       0   86.60   168.9            30.36      1.0   99.5   \n",
       "3432   30       0   78.00   174.9            25.50      0.0   89.2   \n",
       "3433   75       0   78.80   176.5            25.30      0.0  100.4   \n",
       "3434   35       1   62.30   164.2            23.11      0.0   87.2   \n",
       "\n",
       "      Maximum Blood Pressure  Minimum Blood Pressure  Good Cholesterol  \\\n",
       "0                      135.0                    71.0              48.0   \n",
       "1                       96.0                    52.0              31.0   \n",
       "2                      115.0                    57.0              44.0   \n",
       "3                      110.0                    57.0              74.0   \n",
       "4                      132.0                    73.0              67.0   \n",
       "5                      129.0                    70.0              43.0   \n",
       "6                      137.0                    92.0              41.0   \n",
       "7                      110.0                    74.0              62.0   \n",
       "8                      146.0                    87.0              76.0   \n",
       "9                      201.0                   119.0              55.0   \n",
       "10                     108.0                    62.0              48.0   \n",
       "11                     153.0                    77.0              38.0   \n",
       "12                     105.0                    72.0              73.0   \n",
       "13                     116.0                    71.0              49.0   \n",
       "14                     112.0                    68.0              68.0   \n",
       "15                     105.0                    69.0              56.0   \n",
       "16                     144.0                    90.0              48.0   \n",
       "17                     158.0                    74.0              49.0   \n",
       "18                     122.0                    79.0              35.0   \n",
       "19                     131.0                    83.0              33.0   \n",
       "20                      93.0                    69.0              51.0   \n",
       "21                     134.0                    61.0              54.0   \n",
       "22                     140.0                    88.0              43.0   \n",
       "23                     124.0                    70.0              43.0   \n",
       "24                     107.0                    75.0              36.0   \n",
       "25                     115.0                    48.0              51.0   \n",
       "26                     114.0                    71.0              51.0   \n",
       "27                     109.0                    67.0              51.0   \n",
       "28                     148.0                    67.0              56.0   \n",
       "29                     126.0                    67.0              43.0   \n",
       "...                      ...                     ...               ...   \n",
       "3405                   180.0                    89.0              51.0   \n",
       "3406                   130.0                    85.0              62.0   \n",
       "3407                   127.0                    74.0              40.0   \n",
       "3408                   138.0                    67.0              51.0   \n",
       "3409                   108.0                    63.0              36.0   \n",
       "3410                   126.0                    52.0              69.0   \n",
       "3411                   125.0                    82.0              42.0   \n",
       "3412                   138.0                    81.0              51.0   \n",
       "3413                   126.0                    63.0              59.0   \n",
       "3414                   148.0                    56.0              47.0   \n",
       "3415                   117.0                    77.0              42.0   \n",
       "3416                   154.0                    65.0              48.0   \n",
       "3417                   109.0                    67.0              42.0   \n",
       "3418                   102.0                    70.0              39.0   \n",
       "3419                   133.0                    94.0              48.0   \n",
       "3420                   135.0                    79.0              39.0   \n",
       "3421                   141.0                    72.0              52.0   \n",
       "3422                   108.0                    56.0              57.0   \n",
       "3423                   124.0                    83.0              62.0   \n",
       "3424                   132.0                    81.0              46.0   \n",
       "3425                   114.0                    71.0              33.0   \n",
       "3426                   137.0                    85.0              59.0   \n",
       "3427                   157.0                    94.0              56.0   \n",
       "3428                   123.0                    82.0              44.0   \n",
       "3429                   127.0                    78.0              34.0   \n",
       "3430                   149.0                    77.0              33.0   \n",
       "3431                   130.0                    75.0              38.0   \n",
       "3432                   126.0                    83.0              40.0   \n",
       "3433                   129.0                    50.0              58.0   \n",
       "3434                    95.0                    59.0              52.0   \n",
       "\n",
       "      Bad Cholesterol  Total Cholesterol  Dyslipidemia  Alcohol Consumption  \\\n",
       "0               249.0              297.0             0                    1   \n",
       "1               135.0              166.0             0                    0   \n",
       "2               211.0              255.0             1                    1   \n",
       "3               156.0              230.0             0                    1   \n",
       "4               154.0              221.0             0                    0   \n",
       "5               159.0              202.0             0                    0   \n",
       "6               143.0              184.0             0                    0   \n",
       "7               110.0              172.0             0                    1   \n",
       "8               133.0              209.0             0                    0   \n",
       "9               171.0              226.0             0                    1   \n",
       "10              124.0              172.0             0                    0   \n",
       "11              141.0              179.0             0                    1   \n",
       "12              107.0              180.0             0                    1   \n",
       "13              135.0              184.0             0                    0   \n",
       "14              109.0              177.0             0                    0   \n",
       "15              219.0              275.0             1                    0   \n",
       "16              163.0              211.0             0                    0   \n",
       "17              120.0              169.0             0                    1   \n",
       "18              136.0              171.0             0                    1   \n",
       "19              134.0              167.0             0                    1   \n",
       "20              138.0              189.0             0                    0   \n",
       "21               86.0              140.0             0                    0   \n",
       "22              144.0              187.0             0                    0   \n",
       "23              124.0              167.0             0                    0   \n",
       "24              203.0              239.0             0                    0   \n",
       "25               98.0              149.0             0                    0   \n",
       "26              163.0              214.0             0                    0   \n",
       "27              122.0              173.0             0                    0   \n",
       "28              107.0              163.0             0                    0   \n",
       "29              148.0              191.0             0                    1   \n",
       "...               ...                ...           ...                  ...   \n",
       "3405            208.0              259.0             0                    0   \n",
       "3406            149.0              211.0             0                    0   \n",
       "3407             78.0              118.0             0                    1   \n",
       "3408            150.0              201.0             0                    1   \n",
       "3409            201.0              237.0             0                    0   \n",
       "3410            110.0              179.0             0                    0   \n",
       "3411            163.0              205.0             0                    1   \n",
       "3412            111.0              162.0             0                    0   \n",
       "3413            114.0              173.0             0                    0   \n",
       "3414            161.0              208.0             0                    1   \n",
       "3415            198.0              240.0             0                    0   \n",
       "3416            141.0              189.0             0                    0   \n",
       "3417             95.0              137.0             0                    0   \n",
       "3418            221.0              260.0             0                    0   \n",
       "3419            204.0              252.0             1                    0   \n",
       "3420            106.0              145.0             0                    0   \n",
       "3421            206.0              258.0             1                    0   \n",
       "3422            111.0              168.0             0                    0   \n",
       "3423            171.0              233.0             0                    1   \n",
       "3424            162.0              208.0             0                    0   \n",
       "3425            202.0              235.0             0                    0   \n",
       "3426            220.0              279.0             0                    0   \n",
       "3427            159.0              215.0             0                    0   \n",
       "3428            182.0              226.0             0                    1   \n",
       "3429            196.0              230.0             0                    0   \n",
       "3430            189.0              222.0             0                    1   \n",
       "3431            123.0              161.0             0                    0   \n",
       "3432            131.0              171.0             0                    0   \n",
       "3433            134.0              192.0             0                    1   \n",
       "3434            102.0              154.0             0                    1   \n",
       "\n",
       "      HyperTension  Diabetes  Family Diabetes  Hepatitis  ALF  \n",
       "0              0.0       0.0                1        1.0  0.0  \n",
       "1              0.0       0.0                0        0.0  0.0  \n",
       "2              0.0       1.0                0        0.0  0.0  \n",
       "3              0.0       0.0                0        0.0  0.0  \n",
       "4              1.0       0.0                0        0.0  0.0  \n",
       "5              0.0       0.0                0        0.0  0.0  \n",
       "6              1.0       0.0                0        0.0  0.0  \n",
       "7              1.0       0.0                0        0.0  0.0  \n",
       "8              1.0       0.0                0        0.0  0.0  \n",
       "9              1.0       0.0                0        0.0  0.0  \n",
       "10             0.0       0.0                1        0.0  0.0  \n",
       "11             1.0       0.0                1        0.0  0.0  \n",
       "12             0.0       0.0                1        0.0  0.0  \n",
       "13             0.0       0.0                1        0.0  0.0  \n",
       "14             0.0       0.0                0        0.0  1.0  \n",
       "15             0.0       0.0                0        0.0  0.0  \n",
       "16             1.0       0.0                1        0.0  0.0  \n",
       "17             1.0       0.0                1        0.0  0.0  \n",
       "18             0.0       1.0                1        0.0  0.0  \n",
       "19             1.0       0.0                0        0.0  0.0  \n",
       "20             0.0       0.0                1        0.0  0.0  \n",
       "21             1.0       1.0                1        1.0  0.0  \n",
       "22             1.0       0.0                0        0.0  0.0  \n",
       "23             0.0       1.0                1        0.0  0.0  \n",
       "24             0.0       0.0                0        0.0  0.0  \n",
       "25             0.0       0.0                1        0.0  0.0  \n",
       "26             1.0       0.0                1        0.0  0.0  \n",
       "27             0.0       0.0                0        0.0  0.0  \n",
       "28             1.0       0.0                0        0.0  0.0  \n",
       "29             0.0       1.0                0        0.0  0.0  \n",
       "...            ...       ...              ...        ...  ...  \n",
       "3405           1.0       0.0                0        0.0  0.0  \n",
       "3406           0.0       0.0                0        0.0  0.0  \n",
       "3407           0.0       0.0                0        0.0  0.0  \n",
       "3408           0.0       0.0                1        0.0  0.0  \n",
       "3409           0.0       0.0                1        0.0  0.0  \n",
       "3410           0.0       0.0                0        0.0  0.0  \n",
       "3411           0.0       0.0                0        0.0  0.0  \n",
       "3412           0.0       0.0                1        0.0  0.0  \n",
       "3413           0.0       0.0                1        0.0  0.0  \n",
       "3414           1.0       0.0                1        0.0  0.0  \n",
       "3415           1.0       0.0                0        0.0  0.0  \n",
       "3416           1.0       1.0                1        1.0  1.0  \n",
       "3417           0.0       0.0                0        0.0  0.0  \n",
       "3418           0.0       0.0                0        0.0  0.0  \n",
       "3419           1.0       0.0                0        0.0  0.0  \n",
       "3420           0.0       0.0                0        0.0  1.0  \n",
       "3421           1.0       1.0                1        0.0  1.0  \n",
       "3422           0.0       0.0                0        0.0  0.0  \n",
       "3423           0.0       0.0                0        0.0  0.0  \n",
       "3424           0.0       0.0                0        0.0  1.0  \n",
       "3425           0.0       0.0                0        0.0  0.0  \n",
       "3426           1.0       0.0                0        0.0  0.0  \n",
       "3427           1.0       0.0                0        0.0  0.0  \n",
       "3428           0.0       0.0                0        0.0  0.0  \n",
       "3429           0.0       0.0                0        0.0  0.0  \n",
       "3430           1.0       0.0                0        0.0  1.0  \n",
       "3431           1.0       0.0                0        0.0  0.0  \n",
       "3432           0.0       0.0                1        0.0  0.0  \n",
       "3433           1.0       1.0                1        0.0  0.0  \n",
       "3434           0.0       0.0                0        0.0  0.0  \n",
       "\n",
       "[3435 rows x 19 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Gender'] = df['Gender'].map({'F': 0, 'M': 1})\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "LeUbNlW6qKR_"
   },
   "source": [
    "Splitting Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "aS-fZK0ezOO7"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X = df.drop(['ALF'],axis=1)\n",
    "y = df.drop(['Age','Gender', 'Weight', 'Height', 'Body Mass Index', 'Obesity', 'Waist', 'Maximum Blood Pressure', 'Minimum Blood Pressure', 'Good Cholesterol', 'Bad Cholesterol', 'Total Cholesterol', 'Dyslipidemia', 'Alcohol Consumption', 'HyperTension', 'Diabetes', 'Family Diabetes', 'Hepatitis',],axis = 1)\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state =0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "NLVfITblqC-g"
   },
   "source": [
    "Export Splited traning and test Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "TPuklrbD-Ges"
   },
   "outputs": [],
   "source": [
    "X_train=pd.read_csv(\"ALFXtrain.csv\")\n",
    "y_train=pd.read_csv(\"ALFytrain.csv\")\n",
    "X_test=pd.read_csv(\"ALFXtest.csv\")\n",
    "y_test=pd.read_csv(\"ALFytest.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = X_train.drop(['Unnamed: 0'],axis=1)\n",
    "X_test = X_test.drop(['Unnamed: 0'],axis=1)\n",
    "y_train = y_train.drop(['Unnamed: 0'],axis=1)\n",
    "y_test = y_test.drop(['Unnamed: 0'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ALF\n",
       "0.0    2449\n",
       "1.0     299\n",
       "dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.groupby(['ALF']).size()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "dsSwILin8F6R"
   },
   "source": [
    "SVM Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 87
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1733,
     "status": "ok",
     "timestamp": 1554188343991,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "NWnmN2oIzIgv",
    "outputId": "7b6d28d0-c1b5-472e-c13f-d90ab7bbab13"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:761: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:244: ConvergenceWarning: Solver terminated early (max_iter=100).  Consider pre-processing your data with StandardScaler or MinMaxScaler.\n",
      "  % self.max_iter, ConvergenceWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "SVC(C=0.2, cache_size=200, class_weight=None, coef0=0.0,\n",
       "  decision_function_shape='ovr', degree=3, gamma=1e-07, kernel='rbf',\n",
       "  max_iter=100, probability=True, random_state=None, shrinking=True,\n",
       "  tol=0.001, verbose=False)"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "svmg = SVC(gamma= 0.0000001, C=0.2,max_iter=100,probability=True)\n",
    "svmg.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1293,
     "status": "ok",
     "timestamp": 1554188343993,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "fxtvqGIp21W-",
    "outputId": "14f4f0aa-3793-45d5-fe27-67cb1348f37d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7860262008733624"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svmg.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.95      0.80      0.87       614\n",
      "         1.0       0.28      0.64      0.39        73\n",
      "\n",
      "   micro avg       0.79      0.79      0.79       687\n",
      "   macro avg       0.61      0.72      0.63       687\n",
      "weighted avg       0.88      0.79      0.82       687\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = svmg.predict(X_test)\n",
    "#y_pred = [ 0 if y>=0.5 else 1 for y in y_pred ]\n",
    "#y_pred\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ec655cbda0>"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "skplt.metrics.plot_confusion_matrix(y_test, y_pred, normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "i0HU_7c08J_j"
   },
   "source": [
    "Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 142
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 2182,
     "status": "ok",
     "timestamp": 1554188354353,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "RaDaV6-I3sPi",
    "outputId": "716347f3-7212-41a3-a5fb-84a4c12fca10"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:761: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
       "          intercept_scaling=1, max_iter=100, multi_class='warn',\n",
       "          n_jobs=None, penalty='l2', random_state=None, solver='warn',\n",
       "          tol=0.0001, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression \n",
    "lr = LogisticRegression()\n",
    "lr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1534,
     "status": "ok",
     "timestamp": 1554188356567,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "F0OEIxrD6bU0",
    "outputId": "dd50bc97-7da5-47c9-c1d1-c25e151f36a7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9097525473071325"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.92      0.98      0.95       614\n",
      "         1.0       0.67      0.30      0.42        73\n",
      "\n",
      "   micro avg       0.91      0.91      0.91       687\n",
      "   macro avg       0.79      0.64      0.68       687\n",
      "weighted avg       0.89      0.91      0.89       687\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = lr.predict(X_test)\n",
    "#y_pred = [ 0 if y>=0.5 else 1 for y in y_pred ]\n",
    "#y_pred\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2802f2a1be0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "skplt.metrics.plot_confusion_matrix(y_test, y_pred, normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "b2pAiBgirne4"
   },
   "source": [
    "K Nearest Neighbors Classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1384,
     "status": "ok",
     "timestamp": 1554188364924,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "9d7Ni5b58gqn",
    "outputId": "28714ac2-fffd-4e47-afbe-fdf6728076d0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:8: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.8908296943231441"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn import metrics\n",
    "k_range = range(1,15)\n",
    "scores = {}\n",
    "scores_list = []\n",
    "for k in k_range:\n",
    "    knn =  KNeighborsClassifier(n_neighbors = k)\n",
    "    knn.fit(X_train, y_train)\n",
    "    y_predict = knn.predict(X_test)\n",
    "    scores[k] = metrics.accuracy_score(y_test, y_predict)\n",
    "    scores_list.append(metrics.accuracy_score(y_test, y_predict))\n",
    "knn.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 297
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1767,
     "status": "ok",
     "timestamp": 1554188368068,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "l_wcAxQ3oPFp",
    "outputId": "53588aa1-89e2-427f-9523-71f9d84fc3d3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Testing Accuracy')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "plt.plot(k_range, scores_list)\n",
    "plt.xlabel(\"Values of K for KNN\",color = \"white\")\n",
    "plt.ylabel(\"Testing Accuracy\",color = \"white\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 948,
     "status": "ok",
     "timestamp": 1554188369729,
     "user": {
      "displayName": "Hatim Khambati",
      "photoUrl": "",
      "userId": "00521564722784919524"
     },
     "user_tz": -330
    },
    "id": "J80U8fUdsxGu",
    "outputId": "36d1b792-bfcf-43d3-c7d8-263657a8dc4a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.8719068413391557"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn =  KNeighborsClassifier(n_neighbors = 5)\n",
    "knn.fit(X_train, y_train)\n",
    "knn.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "         0.0       0.90      0.97      0.93       614\n",
      "         1.0       0.17      0.05      0.08        73\n",
      "\n",
      "   micro avg       0.87      0.87      0.87       687\n",
      "   macro avg       0.53      0.51      0.51       687\n",
      "weighted avg       0.82      0.87      0.84       687\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = knn.predict(X_test)\n",
    "#y_pred = [ 0 if y>=0.5 else 1 for y in y_pred ]\n",
    "#y_pred\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ec64a86eb8>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "skplt.metrics.plot_confusion_matrix(y_test, y_pred, normalize=True)"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "Copy of Liver1.ipynb",
   "provenance": [
    {
     "file_id": "1nffQtMkU2IIbPqnW6cKAIIUuaVUe_ejZ",
     "timestamp": 1555386908227
    }
   ],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}