devengers.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
   },
   "outputs": [],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load in \n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the \"../input/\" directory.\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# Any results you write to the current directory are saved as output."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {
    "_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
    "_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: seaborn in /home/tanisha/anaconda3/lib/python3.7/site-packages (0.9.0)\r\n",
      "Requirement already satisfied: scipy>=0.14.0 in /home/tanisha/anaconda3/lib/python3.7/site-packages (from seaborn) (1.2.1)\r\n",
      "Requirement already satisfied: numpy>=1.9.3 in /home/tanisha/anaconda3/lib/python3.7/site-packages (from seaborn) (1.16.2)\r\n",
      "Requirement already satisfied: pandas>=0.15.2 in /home/tanisha/anaconda3/lib/python3.7/site-packages (from seaborn) (0.24.2)\r\n",
      "Requirement already satisfied: matplotlib>=1.4.3 in /home/tanisha/anaconda3/lib/python3.7/site-packages (from seaborn) (3.0.3)\r\n",
      "Requirement already satisfied: pytz>=2011k in /home/tanisha/anaconda3/lib/python3.7/site-packages (from pandas>=0.15.2->seaborn) (2018.9)\r\n",
      "Requirement already satisfied: python-dateutil>=2.5.0 in /home/tanisha/anaconda3/lib/python3.7/site-packages (from pandas>=0.15.2->seaborn) (2.8.0)\r\n",
      "Requirement already satisfied: cycler>=0.10 in /home/tanisha/anaconda3/lib/python3.7/site-packages (from matplotlib>=1.4.3->seaborn) (0.10.0)\r\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /home/tanisha/anaconda3/lib/python3.7/site-packages (from matplotlib>=1.4.3->seaborn) (1.0.1)\r\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /home/tanisha/anaconda3/lib/python3.7/site-packages (from matplotlib>=1.4.3->seaborn) (2.3.1)\r\n",
      "Requirement already satisfied: six>=1.5 in /home/tanisha/anaconda3/lib/python3.7/site-packages (from python-dateutil>=2.5.0->pandas>=0.15.2->seaborn) (1.12.0)\r\n",
      "Requirement already satisfied: setuptools in /home/tanisha/anaconda3/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib>=1.4.3->seaborn) (40.8.0)\r\n"
     ]
    }
   ],
   "source": [
    "!pip install seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>s.no</th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Country</th>\n",
       "      <th>state</th>\n",
       "      <th>self_employed</th>\n",
       "      <th>family_history</th>\n",
       "      <th>treatment</th>\n",
       "      <th>work_interfere</th>\n",
       "      <th>...</th>\n",
       "      <th>leave</th>\n",
       "      <th>mental_health_consequence</th>\n",
       "      <th>phys_health_consequence</th>\n",
       "      <th>coworkers</th>\n",
       "      <th>supervisor</th>\n",
       "      <th>mental_health_interview</th>\n",
       "      <th>phys_health_interview</th>\n",
       "      <th>mental_vs_physical</th>\n",
       "      <th>obs_consequence</th>\n",
       "      <th>comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2014-08-27 11:29:31</td>\n",
       "      <td>37</td>\n",
       "      <td>Female</td>\n",
       "      <td>United States</td>\n",
       "      <td>IL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Often</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat easy</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2014-08-27 11:29:37</td>\n",
       "      <td>44</td>\n",
       "      <td>M</td>\n",
       "      <td>United States</td>\n",
       "      <td>IN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Rarely</td>\n",
       "      <td>...</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2014-08-27 11:29:44</td>\n",
       "      <td>32</td>\n",
       "      <td>Male</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Rarely</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat difficult</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2014-08-27 11:29:46</td>\n",
       "      <td>31</td>\n",
       "      <td>Male</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Often</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat difficult</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2014-08-27 11:30:22</td>\n",
       "      <td>31</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>TX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Never</td>\n",
       "      <td>...</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>2014-08-27 11:31:22</td>\n",
       "      <td>33</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>TN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>...</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>2014-08-27 11:31:50</td>\n",
       "      <td>35</td>\n",
       "      <td>Female</td>\n",
       "      <td>United States</td>\n",
       "      <td>MI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat difficult</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>2014-08-27 11:32:05</td>\n",
       "      <td>39</td>\n",
       "      <td>M</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Never</td>\n",
       "      <td>...</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>2014-08-27 11:32:39</td>\n",
       "      <td>42</td>\n",
       "      <td>Female</td>\n",
       "      <td>United States</td>\n",
       "      <td>IL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>...</td>\n",
       "      <td>Very difficult</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>2014-08-27 11:32:43</td>\n",
       "      <td>23</td>\n",
       "      <td>Male</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Never</td>\n",
       "      <td>...</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>2014-08-27 11:32:44</td>\n",
       "      <td>31</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>OH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>...</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>2014-08-27 11:32:49</td>\n",
       "      <td>29</td>\n",
       "      <td>male</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Never</td>\n",
       "      <td>...</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>2014-08-27 11:33:23</td>\n",
       "      <td>42</td>\n",
       "      <td>female</td>\n",
       "      <td>United States</td>\n",
       "      <td>CA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat difficult</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>2014-08-27 11:33:26</td>\n",
       "      <td>36</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>CT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Never</td>\n",
       "      <td>...</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>I'm not on my company's health insurance which...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>2014-08-27 11:33:57</td>\n",
       "      <td>27</td>\n",
       "      <td>Male</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Never</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat easy</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>2014-08-27 11:34:00</td>\n",
       "      <td>29</td>\n",
       "      <td>female</td>\n",
       "      <td>United States</td>\n",
       "      <td>IL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Rarely</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat easy</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>I have chronic low-level neurological issues t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>2014-08-27 11:34:20</td>\n",
       "      <td>23</td>\n",
       "      <td>Male</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>...</td>\n",
       "      <td>Very easy</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>My company does provide healthcare but not to ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>2014-08-27 11:34:37</td>\n",
       "      <td>32</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>TN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>...</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>2014-08-27 11:34:53</td>\n",
       "      <td>46</td>\n",
       "      <td>male</td>\n",
       "      <td>United States</td>\n",
       "      <td>MD</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>...</td>\n",
       "      <td>Very easy</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>2014-08-27 11:35:08</td>\n",
       "      <td>36</td>\n",
       "      <td>Male</td>\n",
       "      <td>France</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat easy</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>Some of them</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    s.no            Timestamp  Age  Gender         Country state  \\\n",
       "0      1  2014-08-27 11:29:31   37  Female   United States    IL   \n",
       "1      2  2014-08-27 11:29:37   44       M   United States    IN   \n",
       "2      3  2014-08-27 11:29:44   32    Male          Canada   NaN   \n",
       "3      4  2014-08-27 11:29:46   31    Male  United Kingdom   NaN   \n",
       "4      5  2014-08-27 11:30:22   31    Male   United States    TX   \n",
       "5      6  2014-08-27 11:31:22   33    Male   United States    TN   \n",
       "6      7  2014-08-27 11:31:50   35  Female   United States    MI   \n",
       "7      8  2014-08-27 11:32:05   39       M          Canada   NaN   \n",
       "8      9  2014-08-27 11:32:39   42  Female   United States    IL   \n",
       "9     10  2014-08-27 11:32:43   23    Male          Canada   NaN   \n",
       "10    11  2014-08-27 11:32:44   31    Male   United States    OH   \n",
       "11    12  2014-08-27 11:32:49   29    male        Bulgaria   NaN   \n",
       "12    13  2014-08-27 11:33:23   42  female   United States    CA   \n",
       "13    14  2014-08-27 11:33:26   36    Male   United States    CT   \n",
       "14    15  2014-08-27 11:33:57   27    Male          Canada   NaN   \n",
       "15    16  2014-08-27 11:34:00   29  female   United States    IL   \n",
       "16    17  2014-08-27 11:34:20   23    Male  United Kingdom   NaN   \n",
       "17    18  2014-08-27 11:34:37   32    Male   United States    TN   \n",
       "18    19  2014-08-27 11:34:53   46    male   United States    MD   \n",
       "19    20  2014-08-27 11:35:08   36    Male          France   NaN   \n",
       "\n",
       "   self_employed family_history treatment work_interfere  ...  \\\n",
       "0            NaN             No       Yes          Often  ...   \n",
       "1            NaN             No        No         Rarely  ...   \n",
       "2            NaN             No        No         Rarely  ...   \n",
       "3            NaN            Yes       Yes          Often  ...   \n",
       "4            NaN             No        No          Never  ...   \n",
       "5            NaN            Yes        No      Sometimes  ...   \n",
       "6            NaN            Yes       Yes      Sometimes  ...   \n",
       "7            NaN             No        No          Never  ...   \n",
       "8            NaN            Yes       Yes      Sometimes  ...   \n",
       "9            NaN             No        No          Never  ...   \n",
       "10           NaN             No       Yes      Sometimes  ...   \n",
       "11           NaN             No        No          Never  ...   \n",
       "12           NaN            Yes       Yes      Sometimes  ...   \n",
       "13           NaN            Yes        No          Never  ...   \n",
       "14           NaN             No        No          Never  ...   \n",
       "15           NaN            Yes       Yes         Rarely  ...   \n",
       "16           NaN             No       Yes      Sometimes  ...   \n",
       "17           NaN             No       Yes      Sometimes  ...   \n",
       "18           Yes            Yes        No      Sometimes  ...   \n",
       "19           Yes            Yes        No            NaN  ...   \n",
       "\n",
       "                 leave mental_health_consequence phys_health_consequence  \\\n",
       "0        Somewhat easy                        No                      No   \n",
       "1           Don't know                     Maybe                      No   \n",
       "2   Somewhat difficult                        No                      No   \n",
       "3   Somewhat difficult                       Yes                     Yes   \n",
       "4           Don't know                        No                      No   \n",
       "5           Don't know                        No                      No   \n",
       "6   Somewhat difficult                     Maybe                   Maybe   \n",
       "7           Don't know                        No                      No   \n",
       "8       Very difficult                     Maybe                      No   \n",
       "9           Don't know                        No                      No   \n",
       "10          Don't know                        No                      No   \n",
       "11          Don't know                        No                      No   \n",
       "12  Somewhat difficult                       Yes                     Yes   \n",
       "13          Don't know                        No                      No   \n",
       "14       Somewhat easy                        No                      No   \n",
       "15       Somewhat easy                        No                      No   \n",
       "16           Very easy                     Maybe                      No   \n",
       "17          Don't know                     Maybe                      No   \n",
       "18           Very easy                        No                      No   \n",
       "19       Somewhat easy                        No                      No   \n",
       "\n",
       "       coworkers    supervisor mental_health_interview phys_health_interview  \\\n",
       "0   Some of them           Yes                      No                 Maybe   \n",
       "1             No            No                      No                    No   \n",
       "2            Yes           Yes                     Yes                   Yes   \n",
       "3   Some of them            No                   Maybe                 Maybe   \n",
       "4   Some of them           Yes                     Yes                   Yes   \n",
       "5            Yes           Yes                      No                 Maybe   \n",
       "6   Some of them            No                      No                    No   \n",
       "7             No            No                      No                    No   \n",
       "8            Yes           Yes                      No                 Maybe   \n",
       "9            Yes           Yes                   Maybe                 Maybe   \n",
       "10  Some of them           Yes                      No                    No   \n",
       "11           Yes           Yes                     Yes                   Yes   \n",
       "12           Yes           Yes                   Maybe                 Maybe   \n",
       "13           Yes           Yes                      No                    No   \n",
       "14  Some of them  Some of them                   Maybe                   Yes   \n",
       "15           Yes  Some of them                   Maybe                 Maybe   \n",
       "16  Some of them            No                   Maybe                 Maybe   \n",
       "17  Some of them           Yes                      No                    No   \n",
       "18           Yes           Yes                      No                   Yes   \n",
       "19  Some of them  Some of them                   Maybe                 Maybe   \n",
       "\n",
       "   mental_vs_physical obs_consequence  \\\n",
       "0                 Yes              No   \n",
       "1          Don't know              No   \n",
       "2                  No              No   \n",
       "3                  No             Yes   \n",
       "4          Don't know              No   \n",
       "5          Don't know              No   \n",
       "6          Don't know              No   \n",
       "7                  No              No   \n",
       "8                  No              No   \n",
       "9                 Yes              No   \n",
       "10         Don't know              No   \n",
       "11         Don't know              No   \n",
       "12                 No             Yes   \n",
       "13         Don't know              No   \n",
       "14                Yes              No   \n",
       "15         Don't know              No   \n",
       "16                 No              No   \n",
       "17                 No              No   \n",
       "18                Yes             Yes   \n",
       "19         Don't know              No   \n",
       "\n",
       "                                             comments  \n",
       "0                                                 NaN  \n",
       "1                                                 NaN  \n",
       "2                                                 NaN  \n",
       "3                                                 NaN  \n",
       "4                                                 NaN  \n",
       "5                                                 NaN  \n",
       "6                                                 NaN  \n",
       "7                                                 NaN  \n",
       "8                                                 NaN  \n",
       "9                                                 NaN  \n",
       "10                                                NaN  \n",
       "11                                                NaN  \n",
       "12                                                NaN  \n",
       "13  I'm not on my company's health insurance which...  \n",
       "14                                                NaN  \n",
       "15  I have chronic low-level neurological issues t...  \n",
       "16  My company does provide healthcare but not to ...  \n",
       "17                                                NaN  \n",
       "18                                                NaN  \n",
       "19                                                NaN  \n",
       "\n",
       "[20 rows x 28 columns]"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data=pd.read_csv('trainms.csv')\n",
    "train_data.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['s.no', 'Timestamp', 'Age', 'Gender', 'Country', 'state',\n",
       "       'self_employed', 'family_history', 'treatment', 'work_interfere',\n",
       "       'no_employees', 'remote_work', 'tech_company', 'benefits',\n",
       "       'care_options', 'wellness_program', 'seek_help', 'anonymity', 'leave',\n",
       "       'mental_health_consequence', 'phys_health_consequence', 'coworkers',\n",
       "       'supervisor', 'mental_health_interview', 'phys_health_interview',\n",
       "       'mental_vs_physical', 'obs_consequence', 'comments'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data.drop(['s.no', 'Timestamp', 'leave', 'coworkers', 'benefits', 'care_options', 'anonymity', ],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 21 columns):\n",
      "Age                          1000 non-null int64\n",
      "Gender                       1000 non-null object\n",
      "Country                      1000 non-null object\n",
      "state                        600 non-null object\n",
      "self_employed                982 non-null object\n",
      "family_history               1000 non-null object\n",
      "treatment                    1000 non-null object\n",
      "work_interfere               774 non-null object\n",
      "no_employees                 1000 non-null object\n",
      "remote_work                  1000 non-null object\n",
      "tech_company                 1000 non-null object\n",
      "wellness_program             1000 non-null object\n",
      "seek_help                    1000 non-null object\n",
      "mental_health_consequence    1000 non-null object\n",
      "phys_health_consequence      1000 non-null object\n",
      "supervisor                   1000 non-null object\n",
      "mental_health_interview      1000 non-null object\n",
      "phys_health_interview        1000 non-null object\n",
      "mental_vs_physical           1000 non-null object\n",
      "obs_consequence              1000 non-null object\n",
      "comments                     127 non-null object\n",
      "dtypes: int64(1), object(20)\n",
      "memory usage: 164.1+ KB\n"
     ]
    }
   ],
   "source": [
    "train_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Country</th>\n",
       "      <th>state</th>\n",
       "      <th>self_employed</th>\n",
       "      <th>family_history</th>\n",
       "      <th>treatment</th>\n",
       "      <th>work_interfere</th>\n",
       "      <th>no_employees</th>\n",
       "      <th>remote_work</th>\n",
       "      <th>...</th>\n",
       "      <th>wellness_program</th>\n",
       "      <th>seek_help</th>\n",
       "      <th>mental_health_consequence</th>\n",
       "      <th>phys_health_consequence</th>\n",
       "      <th>supervisor</th>\n",
       "      <th>mental_health_interview</th>\n",
       "      <th>phys_health_interview</th>\n",
       "      <th>mental_vs_physical</th>\n",
       "      <th>obs_consequence</th>\n",
       "      <th>comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
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       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>True</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
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       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>True</td>\n",
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       "      <th>7</th>\n",
       "      <td>False</td>\n",
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       "      <td>True</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</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>970</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Age  Gender  Country  state  self_employed  family_history  treatment  \\\n",
       "0    False   False    False  False           True           False      False   \n",
       "1    False   False    False  False           True           False      False   \n",
       "2    False   False    False   True           True           False      False   \n",
       "3    False   False    False   True           True           False      False   \n",
       "4    False   False    False  False           True           False      False   \n",
       "5    False   False    False  False           True           False      False   \n",
       "6    False   False    False  False           True           False      False   \n",
       "7    False   False    False   True           True           False      False   \n",
       "8    False   False    False  False           True           False      False   \n",
       "9    False   False    False   True           True           False      False   \n",
       "10   False   False    False  False           True           False      False   \n",
       "11   False   False    False   True           True           False      False   \n",
       "12   False   False    False  False           True           False      False   \n",
       "13   False   False    False  False           True           False      False   \n",
       "14   False   False    False   True           True           False      False   \n",
       "15   False   False    False  False           True           False      False   \n",
       "16   False   False    False   True           True           False      False   \n",
       "17   False   False    False  False           True           False      False   \n",
       "18   False   False    False  False          False           False      False   \n",
       "19   False   False    False   True          False           False      False   \n",
       "20   False   False    False  False          False           False      False   \n",
       "21   False   False    False  False          False           False      False   \n",
       "22   False   False    False  False          False           False      False   \n",
       "23   False   False    False  False          False           False      False   \n",
       "24   False   False    False  False          False           False      False   \n",
       "25   False   False    False  False          False           False      False   \n",
       "26   False   False    False  False          False           False      False   \n",
       "27   False   False    False  False          False           False      False   \n",
       "28   False   False    False  False          False           False      False   \n",
       "29   False   False    False   True          False           False      False   \n",
       "..     ...     ...      ...    ...            ...             ...        ...   \n",
       "970  False   False    False  False          False           False      False   \n",
       "971  False   False    False   True          False           False      False   \n",
       "972  False   False    False  False          False           False      False   \n",
       "973  False   False    False  False          False           False      False   \n",
       "974  False   False    False   True          False           False      False   \n",
       "975  False   False    False   True          False           False      False   \n",
       "976  False   False    False  False          False           False      False   \n",
       "977  False   False    False   True          False           False      False   \n",
       "978  False   False    False   True          False           False      False   \n",
       "979  False   False    False   True          False           False      False   \n",
       "980  False   False    False  False          False           False      False   \n",
       "981  False   False    False   True          False           False      False   \n",
       "982  False   False    False   True          False           False      False   \n",
       "983  False   False    False  False          False           False      False   \n",
       "984  False   False    False   True          False           False      False   \n",
       "985  False   False    False   True          False           False      False   \n",
       "986  False   False    False   True          False           False      False   \n",
       "987  False   False    False   True          False           False      False   \n",
       "988  False   False    False  False          False           False      False   \n",
       "989  False   False    False  False          False           False      False   \n",
       "990  False   False    False   True          False           False      False   \n",
       "991  False   False    False   True          False           False      False   \n",
       "992  False   False    False  False          False           False      False   \n",
       "993  False   False    False   True          False           False      False   \n",
       "994  False   False    False   True          False           False      False   \n",
       "995  False   False    False   True          False           False      False   \n",
       "996  False   False    False  False          False           False      False   \n",
       "997  False   False    False  False          False           False      False   \n",
       "998  False   False    False   True          False           False      False   \n",
       "999  False   False    False   True          False           False      False   \n",
       "\n",
       "     work_interfere  no_employees  remote_work  ...  wellness_program  \\\n",
       "0             False         False        False  ...             False   \n",
       "1             False         False        False  ...             False   \n",
       "2             False         False        False  ...             False   \n",
       "3             False         False        False  ...             False   \n",
       "4             False         False        False  ...             False   \n",
       "5             False         False        False  ...             False   \n",
       "6             False         False        False  ...             False   \n",
       "7             False         False        False  ...             False   \n",
       "8             False         False        False  ...             False   \n",
       "9             False         False        False  ...             False   \n",
       "10            False         False        False  ...             False   \n",
       "11            False         False        False  ...             False   \n",
       "12            False         False        False  ...             False   \n",
       "13            False         False        False  ...             False   \n",
       "14            False         False        False  ...             False   \n",
       "15            False         False        False  ...             False   \n",
       "16            False         False        False  ...             False   \n",
       "17            False         False        False  ...             False   \n",
       "18            False         False        False  ...             False   \n",
       "19             True         False        False  ...             False   \n",
       "20            False         False        False  ...             False   \n",
       "21            False         False        False  ...             False   \n",
       "22            False         False        False  ...             False   \n",
       "23            False         False        False  ...             False   \n",
       "24            False         False        False  ...             False   \n",
       "25            False         False        False  ...             False   \n",
       "26             True         False        False  ...             False   \n",
       "27            False         False        False  ...             False   \n",
       "28            False         False        False  ...             False   \n",
       "29            False         False        False  ...             False   \n",
       "..              ...           ...          ...  ...               ...   \n",
       "970           False         False        False  ...             False   \n",
       "971           False         False        False  ...             False   \n",
       "972           False         False        False  ...             False   \n",
       "973           False         False        False  ...             False   \n",
       "974            True         False        False  ...             False   \n",
       "975            True         False        False  ...             False   \n",
       "976           False         False        False  ...             False   \n",
       "977            True         False        False  ...             False   \n",
       "978           False         False        False  ...             False   \n",
       "979           False         False        False  ...             False   \n",
       "980           False         False        False  ...             False   \n",
       "981           False         False        False  ...             False   \n",
       "982           False         False        False  ...             False   \n",
       "983           False         False        False  ...             False   \n",
       "984           False         False        False  ...             False   \n",
       "985           False         False        False  ...             False   \n",
       "986           False         False        False  ...             False   \n",
       "987           False         False        False  ...             False   \n",
       "988           False         False        False  ...             False   \n",
       "989           False         False        False  ...             False   \n",
       "990            True         False        False  ...             False   \n",
       "991            True         False        False  ...             False   \n",
       "992           False         False        False  ...             False   \n",
       "993            True         False        False  ...             False   \n",
       "994           False         False        False  ...             False   \n",
       "995           False         False        False  ...             False   \n",
       "996           False         False        False  ...             False   \n",
       "997           False         False        False  ...             False   \n",
       "998           False         False        False  ...             False   \n",
       "999            True         False        False  ...             False   \n",
       "\n",
       "     seek_help  mental_health_consequence  phys_health_consequence  \\\n",
       "0        False                      False                    False   \n",
       "1        False                      False                    False   \n",
       "2        False                      False                    False   \n",
       "3        False                      False                    False   \n",
       "4        False                      False                    False   \n",
       "5        False                      False                    False   \n",
       "6        False                      False                    False   \n",
       "7        False                      False                    False   \n",
       "8        False                      False                    False   \n",
       "9        False                      False                    False   \n",
       "10       False                      False                    False   \n",
       "11       False                      False                    False   \n",
       "12       False                      False                    False   \n",
       "13       False                      False                    False   \n",
       "14       False                      False                    False   \n",
       "15       False                      False                    False   \n",
       "16       False                      False                    False   \n",
       "17       False                      False                    False   \n",
       "18       False                      False                    False   \n",
       "19       False                      False                    False   \n",
       "20       False                      False                    False   \n",
       "21       False                      False                    False   \n",
       "22       False                      False                    False   \n",
       "23       False                      False                    False   \n",
       "24       False                      False                    False   \n",
       "25       False                      False                    False   \n",
       "26       False                      False                    False   \n",
       "27       False                      False                    False   \n",
       "28       False                      False                    False   \n",
       "29       False                      False                    False   \n",
       "..         ...                        ...                      ...   \n",
       "970      False                      False                    False   \n",
       "971      False                      False                    False   \n",
       "972      False                      False                    False   \n",
       "973      False                      False                    False   \n",
       "974      False                      False                    False   \n",
       "975      False                      False                    False   \n",
       "976      False                      False                    False   \n",
       "977      False                      False                    False   \n",
       "978      False                      False                    False   \n",
       "979      False                      False                    False   \n",
       "980      False                      False                    False   \n",
       "981      False                      False                    False   \n",
       "982      False                      False                    False   \n",
       "983      False                      False                    False   \n",
       "984      False                      False                    False   \n",
       "985      False                      False                    False   \n",
       "986      False                      False                    False   \n",
       "987      False                      False                    False   \n",
       "988      False                      False                    False   \n",
       "989      False                      False                    False   \n",
       "990      False                      False                    False   \n",
       "991      False                      False                    False   \n",
       "992      False                      False                    False   \n",
       "993      False                      False                    False   \n",
       "994      False                      False                    False   \n",
       "995      False                      False                    False   \n",
       "996      False                      False                    False   \n",
       "997      False                      False                    False   \n",
       "998      False                      False                    False   \n",
       "999      False                      False                    False   \n",
       "\n",
       "     supervisor  mental_health_interview  phys_health_interview  \\\n",
       "0         False                    False                  False   \n",
       "1         False                    False                  False   \n",
       "2         False                    False                  False   \n",
       "3         False                    False                  False   \n",
       "4         False                    False                  False   \n",
       "5         False                    False                  False   \n",
       "6         False                    False                  False   \n",
       "7         False                    False                  False   \n",
       "8         False                    False                  False   \n",
       "9         False                    False                  False   \n",
       "10        False                    False                  False   \n",
       "11        False                    False                  False   \n",
       "12        False                    False                  False   \n",
       "13        False                    False                  False   \n",
       "14        False                    False                  False   \n",
       "15        False                    False                  False   \n",
       "16        False                    False                  False   \n",
       "17        False                    False                  False   \n",
       "18        False                    False                  False   \n",
       "19        False                    False                  False   \n",
       "20        False                    False                  False   \n",
       "21        False                    False                  False   \n",
       "22        False                    False                  False   \n",
       "23        False                    False                  False   \n",
       "24        False                    False                  False   \n",
       "25        False                    False                  False   \n",
       "26        False                    False                  False   \n",
       "27        False                    False                  False   \n",
       "28        False                    False                  False   \n",
       "29        False                    False                  False   \n",
       "..          ...                      ...                    ...   \n",
       "970       False                    False                  False   \n",
       "971       False                    False                  False   \n",
       "972       False                    False                  False   \n",
       "973       False                    False                  False   \n",
       "974       False                    False                  False   \n",
       "975       False                    False                  False   \n",
       "976       False                    False                  False   \n",
       "977       False                    False                  False   \n",
       "978       False                    False                  False   \n",
       "979       False                    False                  False   \n",
       "980       False                    False                  False   \n",
       "981       False                    False                  False   \n",
       "982       False                    False                  False   \n",
       "983       False                    False                  False   \n",
       "984       False                    False                  False   \n",
       "985       False                    False                  False   \n",
       "986       False                    False                  False   \n",
       "987       False                    False                  False   \n",
       "988       False                    False                  False   \n",
       "989       False                    False                  False   \n",
       "990       False                    False                  False   \n",
       "991       False                    False                  False   \n",
       "992       False                    False                  False   \n",
       "993       False                    False                  False   \n",
       "994       False                    False                  False   \n",
       "995       False                    False                  False   \n",
       "996       False                    False                  False   \n",
       "997       False                    False                  False   \n",
       "998       False                    False                  False   \n",
       "999       False                    False                  False   \n",
       "\n",
       "     mental_vs_physical  obs_consequence  comments  \n",
       "0                 False            False      True  \n",
       "1                 False            False      True  \n",
       "2                 False            False      True  \n",
       "3                 False            False      True  \n",
       "4                 False            False      True  \n",
       "5                 False            False      True  \n",
       "6                 False            False      True  \n",
       "7                 False            False      True  \n",
       "8                 False            False      True  \n",
       "9                 False            False      True  \n",
       "10                False            False      True  \n",
       "11                False            False      True  \n",
       "12                False            False      True  \n",
       "13                False            False     False  \n",
       "14                False            False      True  \n",
       "15                False            False     False  \n",
       "16                False            False     False  \n",
       "17                False            False      True  \n",
       "18                False            False      True  \n",
       "19                False            False      True  \n",
       "20                False            False      True  \n",
       "21                False            False      True  \n",
       "22                False            False      True  \n",
       "23                False            False      True  \n",
       "24                False            False     False  \n",
       "25                False            False     False  \n",
       "26                False            False      True  \n",
       "27                False            False      True  \n",
       "28                False            False      True  \n",
       "29                False            False      True  \n",
       "..                  ...              ...       ...  \n",
       "970               False            False      True  \n",
       "971               False            False      True  \n",
       "972               False            False      True  \n",
       "973               False            False     False  \n",
       "974               False            False      True  \n",
       "975               False            False      True  \n",
       "976               False            False      True  \n",
       "977               False            False      True  \n",
       "978               False            False      True  \n",
       "979               False            False      True  \n",
       "980               False            False      True  \n",
       "981               False            False      True  \n",
       "982               False            False      True  \n",
       "983               False            False      True  \n",
       "984               False            False      True  \n",
       "985               False            False      True  \n",
       "986               False            False      True  \n",
       "987               False            False      True  \n",
       "988               False            False      True  \n",
       "989               False            False     False  \n",
       "990               False            False      True  \n",
       "991               False            False      True  \n",
       "992               False            False      True  \n",
       "993               False            False      True  \n",
       "994               False            False      True  \n",
       "995               False            False      True  \n",
       "996               False            False      True  \n",
       "997               False            False      True  \n",
       "998               False            False      True  \n",
       "999               False            False      True  \n",
       "\n",
       "[1000 rows x 21 columns]"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
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       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</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>970</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Age  Gender  Country  state  self_employed  family_history  treatment  \\\n",
       "0    False   False    False  False          False           False      False   \n",
       "1    False   False    False  False          False           False      False   \n",
       "2    False   False    False   True          False           False      False   \n",
       "3    False   False    False   True          False           False      False   \n",
       "4    False   False    False  False          False           False      False   \n",
       "5    False   False    False  False          False           False      False   \n",
       "6    False   False    False  False          False           False      False   \n",
       "7    False   False    False   True          False           False      False   \n",
       "8    False   False    False  False          False           False      False   \n",
       "9    False   False    False   True          False           False      False   \n",
       "10   False   False    False  False          False           False      False   \n",
       "11   False   False    False   True          False           False      False   \n",
       "12   False   False    False  False          False           False      False   \n",
       "13   False   False    False  False          False           False      False   \n",
       "14   False   False    False   True          False           False      False   \n",
       "15   False   False    False  False          False           False      False   \n",
       "16   False   False    False   True          False           False      False   \n",
       "17   False   False    False  False          False           False      False   \n",
       "18   False   False    False  False          False           False      False   \n",
       "19   False   False    False   True          False           False      False   \n",
       "20   False   False    False  False          False           False      False   \n",
       "21   False   False    False  False          False           False      False   \n",
       "22   False   False    False  False          False           False      False   \n",
       "23   False   False    False  False          False           False      False   \n",
       "24   False   False    False  False          False           False      False   \n",
       "25   False   False    False  False          False           False      False   \n",
       "26   False   False    False  False          False           False      False   \n",
       "27   False   False    False  False          False           False      False   \n",
       "28   False   False    False  False          False           False      False   \n",
       "29   False   False    False   True          False           False      False   \n",
       "..     ...     ...      ...    ...            ...             ...        ...   \n",
       "970  False   False    False  False          False           False      False   \n",
       "971  False   False    False   True          False           False      False   \n",
       "972  False   False    False  False          False           False      False   \n",
       "973  False   False    False  False          False           False      False   \n",
       "974  False   False    False   True          False           False      False   \n",
       "975  False   False    False   True          False           False      False   \n",
       "976  False   False    False  False          False           False      False   \n",
       "977  False   False    False   True          False           False      False   \n",
       "978  False   False    False   True          False           False      False   \n",
       "979  False   False    False   True          False           False      False   \n",
       "980  False   False    False  False          False           False      False   \n",
       "981  False   False    False   True          False           False      False   \n",
       "982  False   False    False   True          False           False      False   \n",
       "983  False   False    False  False          False           False      False   \n",
       "984  False   False    False   True          False           False      False   \n",
       "985  False   False    False   True          False           False      False   \n",
       "986  False   False    False   True          False           False      False   \n",
       "987  False   False    False   True          False           False      False   \n",
       "988  False   False    False  False          False           False      False   \n",
       "989  False   False    False  False          False           False      False   \n",
       "990  False   False    False   True          False           False      False   \n",
       "991  False   False    False   True          False           False      False   \n",
       "992  False   False    False  False          False           False      False   \n",
       "993  False   False    False   True          False           False      False   \n",
       "994  False   False    False   True          False           False      False   \n",
       "995  False   False    False   True          False           False      False   \n",
       "996  False   False    False  False          False           False      False   \n",
       "997  False   False    False  False          False           False      False   \n",
       "998  False   False    False   True          False           False      False   \n",
       "999  False   False    False   True          False           False      False   \n",
       "\n",
       "     work_interfere  no_employees  remote_work  ...  wellness_program  \\\n",
       "0             False         False        False  ...             False   \n",
       "1             False         False        False  ...             False   \n",
       "2             False         False        False  ...             False   \n",
       "3             False         False        False  ...             False   \n",
       "4             False         False        False  ...             False   \n",
       "5             False         False        False  ...             False   \n",
       "6             False         False        False  ...             False   \n",
       "7             False         False        False  ...             False   \n",
       "8             False         False        False  ...             False   \n",
       "9             False         False        False  ...             False   \n",
       "10            False         False        False  ...             False   \n",
       "11            False         False        False  ...             False   \n",
       "12            False         False        False  ...             False   \n",
       "13            False         False        False  ...             False   \n",
       "14            False         False        False  ...             False   \n",
       "15            False         False        False  ...             False   \n",
       "16            False         False        False  ...             False   \n",
       "17            False         False        False  ...             False   \n",
       "18            False         False        False  ...             False   \n",
       "19             True         False        False  ...             False   \n",
       "20            False         False        False  ...             False   \n",
       "21            False         False        False  ...             False   \n",
       "22            False         False        False  ...             False   \n",
       "23            False         False        False  ...             False   \n",
       "24            False         False        False  ...             False   \n",
       "25            False         False        False  ...             False   \n",
       "26             True         False        False  ...             False   \n",
       "27            False         False        False  ...             False   \n",
       "28            False         False        False  ...             False   \n",
       "29            False         False        False  ...             False   \n",
       "..              ...           ...          ...  ...               ...   \n",
       "970           False         False        False  ...             False   \n",
       "971           False         False        False  ...             False   \n",
       "972           False         False        False  ...             False   \n",
       "973           False         False        False  ...             False   \n",
       "974            True         False        False  ...             False   \n",
       "975            True         False        False  ...             False   \n",
       "976           False         False        False  ...             False   \n",
       "977            True         False        False  ...             False   \n",
       "978           False         False        False  ...             False   \n",
       "979           False         False        False  ...             False   \n",
       "980           False         False        False  ...             False   \n",
       "981           False         False        False  ...             False   \n",
       "982           False         False        False  ...             False   \n",
       "983           False         False        False  ...             False   \n",
       "984           False         False        False  ...             False   \n",
       "985           False         False        False  ...             False   \n",
       "986           False         False        False  ...             False   \n",
       "987           False         False        False  ...             False   \n",
       "988           False         False        False  ...             False   \n",
       "989           False         False        False  ...             False   \n",
       "990            True         False        False  ...             False   \n",
       "991            True         False        False  ...             False   \n",
       "992           False         False        False  ...             False   \n",
       "993            True         False        False  ...             False   \n",
       "994           False         False        False  ...             False   \n",
       "995           False         False        False  ...             False   \n",
       "996           False         False        False  ...             False   \n",
       "997           False         False        False  ...             False   \n",
       "998           False         False        False  ...             False   \n",
       "999            True         False        False  ...             False   \n",
       "\n",
       "     seek_help  mental_health_consequence  phys_health_consequence  \\\n",
       "0        False                      False                    False   \n",
       "1        False                      False                    False   \n",
       "2        False                      False                    False   \n",
       "3        False                      False                    False   \n",
       "4        False                      False                    False   \n",
       "5        False                      False                    False   \n",
       "6        False                      False                    False   \n",
       "7        False                      False                    False   \n",
       "8        False                      False                    False   \n",
       "9        False                      False                    False   \n",
       "10       False                      False                    False   \n",
       "11       False                      False                    False   \n",
       "12       False                      False                    False   \n",
       "13       False                      False                    False   \n",
       "14       False                      False                    False   \n",
       "15       False                      False                    False   \n",
       "16       False                      False                    False   \n",
       "17       False                      False                    False   \n",
       "18       False                      False                    False   \n",
       "19       False                      False                    False   \n",
       "20       False                      False                    False   \n",
       "21       False                      False                    False   \n",
       "22       False                      False                    False   \n",
       "23       False                      False                    False   \n",
       "24       False                      False                    False   \n",
       "25       False                      False                    False   \n",
       "26       False                      False                    False   \n",
       "27       False                      False                    False   \n",
       "28       False                      False                    False   \n",
       "29       False                      False                    False   \n",
       "..         ...                        ...                      ...   \n",
       "970      False                      False                    False   \n",
       "971      False                      False                    False   \n",
       "972      False                      False                    False   \n",
       "973      False                      False                    False   \n",
       "974      False                      False                    False   \n",
       "975      False                      False                    False   \n",
       "976      False                      False                    False   \n",
       "977      False                      False                    False   \n",
       "978      False                      False                    False   \n",
       "979      False                      False                    False   \n",
       "980      False                      False                    False   \n",
       "981      False                      False                    False   \n",
       "982      False                      False                    False   \n",
       "983      False                      False                    False   \n",
       "984      False                      False                    False   \n",
       "985      False                      False                    False   \n",
       "986      False                      False                    False   \n",
       "987      False                      False                    False   \n",
       "988      False                      False                    False   \n",
       "989      False                      False                    False   \n",
       "990      False                      False                    False   \n",
       "991      False                      False                    False   \n",
       "992      False                      False                    False   \n",
       "993      False                      False                    False   \n",
       "994      False                      False                    False   \n",
       "995      False                      False                    False   \n",
       "996      False                      False                    False   \n",
       "997      False                      False                    False   \n",
       "998      False                      False                    False   \n",
       "999      False                      False                    False   \n",
       "\n",
       "     supervisor  mental_health_interview  phys_health_interview  \\\n",
       "0         False                    False                  False   \n",
       "1         False                    False                  False   \n",
       "2         False                    False                  False   \n",
       "3         False                    False                  False   \n",
       "4         False                    False                  False   \n",
       "5         False                    False                  False   \n",
       "6         False                    False                  False   \n",
       "7         False                    False                  False   \n",
       "8         False                    False                  False   \n",
       "9         False                    False                  False   \n",
       "10        False                    False                  False   \n",
       "11        False                    False                  False   \n",
       "12        False                    False                  False   \n",
       "13        False                    False                  False   \n",
       "14        False                    False                  False   \n",
       "15        False                    False                  False   \n",
       "16        False                    False                  False   \n",
       "17        False                    False                  False   \n",
       "18        False                    False                  False   \n",
       "19        False                    False                  False   \n",
       "20        False                    False                  False   \n",
       "21        False                    False                  False   \n",
       "22        False                    False                  False   \n",
       "23        False                    False                  False   \n",
       "24        False                    False                  False   \n",
       "25        False                    False                  False   \n",
       "26        False                    False                  False   \n",
       "27        False                    False                  False   \n",
       "28        False                    False                  False   \n",
       "29        False                    False                  False   \n",
       "..          ...                      ...                    ...   \n",
       "970       False                    False                  False   \n",
       "971       False                    False                  False   \n",
       "972       False                    False                  False   \n",
       "973       False                    False                  False   \n",
       "974       False                    False                  False   \n",
       "975       False                    False                  False   \n",
       "976       False                    False                  False   \n",
       "977       False                    False                  False   \n",
       "978       False                    False                  False   \n",
       "979       False                    False                  False   \n",
       "980       False                    False                  False   \n",
       "981       False                    False                  False   \n",
       "982       False                    False                  False   \n",
       "983       False                    False                  False   \n",
       "984       False                    False                  False   \n",
       "985       False                    False                  False   \n",
       "986       False                    False                  False   \n",
       "987       False                    False                  False   \n",
       "988       False                    False                  False   \n",
       "989       False                    False                  False   \n",
       "990       False                    False                  False   \n",
       "991       False                    False                  False   \n",
       "992       False                    False                  False   \n",
       "993       False                    False                  False   \n",
       "994       False                    False                  False   \n",
       "995       False                    False                  False   \n",
       "996       False                    False                  False   \n",
       "997       False                    False                  False   \n",
       "998       False                    False                  False   \n",
       "999       False                    False                  False   \n",
       "\n",
       "     mental_vs_physical  obs_consequence  comments  \n",
       "0                 False            False      True  \n",
       "1                 False            False      True  \n",
       "2                 False            False      True  \n",
       "3                 False            False      True  \n",
       "4                 False            False      True  \n",
       "5                 False            False      True  \n",
       "6                 False            False      True  \n",
       "7                 False            False      True  \n",
       "8                 False            False      True  \n",
       "9                 False            False      True  \n",
       "10                False            False      True  \n",
       "11                False            False      True  \n",
       "12                False            False      True  \n",
       "13                False            False     False  \n",
       "14                False            False      True  \n",
       "15                False            False     False  \n",
       "16                False            False     False  \n",
       "17                False            False      True  \n",
       "18                False            False      True  \n",
       "19                False            False      True  \n",
       "20                False            False      True  \n",
       "21                False            False      True  \n",
       "22                False            False      True  \n",
       "23                False            False      True  \n",
       "24                False            False     False  \n",
       "25                False            False     False  \n",
       "26                False            False      True  \n",
       "27                False            False      True  \n",
       "28                False            False      True  \n",
       "29                False            False      True  \n",
       "..                  ...              ...       ...  \n",
       "970               False            False      True  \n",
       "971               False            False      True  \n",
       "972               False            False      True  \n",
       "973               False            False     False  \n",
       "974               False            False      True  \n",
       "975               False            False      True  \n",
       "976               False            False      True  \n",
       "977               False            False      True  \n",
       "978               False            False      True  \n",
       "979               False            False      True  \n",
       "980               False            False      True  \n",
       "981               False            False      True  \n",
       "982               False            False      True  \n",
       "983               False            False      True  \n",
       "984               False            False      True  \n",
       "985               False            False      True  \n",
       "986               False            False      True  \n",
       "987               False            False      True  \n",
       "988               False            False      True  \n",
       "989               False            False     False  \n",
       "990               False            False      True  \n",
       "991               False            False      True  \n",
       "992               False            False      True  \n",
       "993               False            False      True  \n",
       "994               False            False      True  \n",
       "995               False            False      True  \n",
       "996               False            False      True  \n",
       "997               False            False      True  \n",
       "998               False            False      True  \n",
       "999               False            False      True  \n",
       "\n",
       "[1000 rows x 21 columns]"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data[\"self_employed\"].fillna(\"No\",inplace=True)\n",
    "train_data.isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f029b26a208>"
      ]
     },
     "execution_count": 227,
     "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": [
    "sns.heatmap(train_data.isnull(),yticklabels=False,cmap=\"viridis\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rem(train_data,field):\n",
    "    remwork=pd.get_dummies(train_data[field],drop_first=True)\n",
    "    train_data = pd.concat([train_data,remwork],axis=1)\n",
    "    train_data.drop([field],axis=1,inplace=True)\n",
    "    train_data.head()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "      <th>AZ</th>\n",
       "      <th>CA</th>\n",
       "      <th>CO</th>\n",
       "      <th>CT</th>\n",
       "      <th>DC</th>\n",
       "      <th>FL</th>\n",
       "      <th>GA</th>\n",
       "      <th>IA</th>\n",
       "      <th>ID</th>\n",
       "      <th>IL</th>\n",
       "      <th>...</th>\n",
       "      <th>SD</th>\n",
       "      <th>TN</th>\n",
       "      <th>TX</th>\n",
       "      <th>UT</th>\n",
       "      <th>VA</th>\n",
       "      <th>VT</th>\n",
       "      <th>WA</th>\n",
       "      <th>WI</th>\n",
       "      <th>WV</th>\n",
       "      <th>WY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   AZ  CA  CO  CT  DC  FL  GA  IA  ID  IL  ...  SD  TN  TX  UT  VA  VT  WA  \\\n",
       "0   0   0   0   0   0   0   0   0   0   1  ...   0   0   0   0   0   0   0   \n",
       "1   0   0   0   0   0   0   0   0   0   0  ...   0   0   0   0   0   0   0   \n",
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       "3   0   0   0   0   0   0   0   0   0   0  ...   0   0   0   0   0   0   0   \n",
       "4   0   0   0   0   0   0   0   0   0   0  ...   0   0   1   0   0   0   0   \n",
       "\n",
       "   WI  WV  WY  \n",
       "0   0   0   0  \n",
       "1   0   0   0  \n",
       "2   0   0   0  \n",
       "3   0   0   0  \n",
       "4   0   0   0  \n",
       "\n",
       "[5 rows x 44 columns]"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state=pd.get_dummies(train_data[\"state\"],drop_first=True)\n",
    "state.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   Often  Rarely  Sometimes\n",
       "0      1       0          0\n",
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       "3      1       0          0\n",
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      ]
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     "execution_count": 230,
     "metadata": {},
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   "source": [
    "workinter=pd.get_dummies(train_data[\"work_interfere\"],drop_first=True)\n",
    "workinter.head()"
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  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "   Age  Gender         Country state self_employed family_history treatment  \\\n",
       "0   37  Female   United States    IL            No             No       Yes   \n",
       "1   44       M   United States    IN            No             No        No   \n",
       "2   32    Male          Canada   NaN            No             No        No   \n",
       "3   31    Male  United Kingdom   NaN            No            Yes       Yes   \n",
       "4   31    Male   United States    TX            No             No        No   \n",
       "\n",
       "  work_interfere    no_employees remote_work  ... UT VA VT WA WI WV WY Often  \\\n",
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       "2         Rarely            6-25          No  ...  0  0  0  0  0  0  0     0   \n",
       "3          Often          26-100          No  ...  0  0  0  0  0  0  0     1   \n",
       "4          Never         100-500         Yes  ...  0  0  0  0  0  0  0     0   \n",
       "\n",
       "  Rarely Sometimes  \n",
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       "1      1         0  \n",
       "2      1         0  \n",
       "3      0         0  \n",
       "4      0         0  \n",
       "\n",
       "[5 rows x 68 columns]"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data = pd.concat([train_data,state,workinter],axis=1)\n",
    "\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [
    {
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       "      <td>United Kingdom</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>26-100</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>Male</td>\n",
       "      <td>United States</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>100-500</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 66 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age  Gender         Country self_employed family_history treatment  \\\n",
       "0   37  Female   United States            No             No       Yes   \n",
       "1   44       M   United States            No             No        No   \n",
       "2   32    Male          Canada            No             No        No   \n",
       "3   31    Male  United Kingdom            No            Yes       Yes   \n",
       "4   31    Male   United States            No             No        No   \n",
       "\n",
       "     no_employees remote_work tech_company wellness_program  ... UT VA VT WA  \\\n",
       "0            6-25          No          Yes               No  ...  0  0  0  0   \n",
       "1  More than 1000          No           No       Don't know  ...  0  0  0  0   \n",
       "2            6-25          No          Yes               No  ...  0  0  0  0   \n",
       "3          26-100          No          Yes               No  ...  0  0  0  0   \n",
       "4         100-500         Yes          Yes       Don't know  ...  0  0  0  0   \n",
       "\n",
       "  WI WV WY Often Rarely  Sometimes  \n",
       "0  0  0  0     1      0          0  \n",
       "1  0  0  0     0      1          0  \n",
       "2  0  0  0     0      1          0  \n",
       "3  0  0  0     1      0          0  \n",
       "4  0  0  0     0      0          0  \n",
       "\n",
       "[5 rows x 66 columns]"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.drop(['state','work_interfere'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f029b821f98>"
      ]
     },
     "execution_count": 233,
     "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": [
    "sns.heatmap(train_data.isnull(),yticklabels=False,cmap=\"viridis\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f029b746fd0>"
      ]
     },
     "execution_count": 234,
     "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": [
    "sns.heatmap(train_data.isnull(),yticklabels=False,cbar=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "873\n"
     ]
    }
   ],
   "source": [
    "print(sum(train_data.isnull().sum()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>I'm not on my company's health insurance which...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>I have chronic low-level neurological issues t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>My company does provide healthcare but not to ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Relatively new job. Ask again later</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Sometimes I think  about using drugs for my me...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>Thank you for shining a light on this topic.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              comments\n",
       "0                                                  NaN\n",
       "1                                                  NaN\n",
       "2                                                  NaN\n",
       "3                                                  NaN\n",
       "4                                                  NaN\n",
       "5                                                  NaN\n",
       "6                                                  NaN\n",
       "7                                                  NaN\n",
       "8                                                  NaN\n",
       "9                                                  NaN\n",
       "10                                                 NaN\n",
       "11                                                 NaN\n",
       "12                                                 NaN\n",
       "13   I'm not on my company's health insurance which...\n",
       "14                                                 NaN\n",
       "15   I have chronic low-level neurological issues t...\n",
       "16   My company does provide healthcare but not to ...\n",
       "17                                                 NaN\n",
       "18                                                 NaN\n",
       "19                                                 NaN\n",
       "20                                                 NaN\n",
       "21                                                 NaN\n",
       "22                                                 NaN\n",
       "23                                                 NaN\n",
       "24                 Relatively new job. Ask again later\n",
       "25   Sometimes I think  about using drugs for my me...\n",
       "26                                                 NaN\n",
       "27                                                 NaN\n",
       "28                                                 NaN\n",
       "29                                                 NaN\n",
       "..                                                 ...\n",
       "970                                                NaN\n",
       "971                                                NaN\n",
       "972                                                NaN\n",
       "973       Thank you for shining a light on this topic.\n",
       "974                                                NaN\n",
       "975                                                NaN\n",
       "976                                                NaN\n",
       "977                                                NaN\n",
       "978                                                NaN\n",
       "979                                                NaN\n",
       "980                                                NaN\n",
       "981                                                NaN\n",
       "982                                                NaN\n",
       "983                                                NaN\n",
       "984                                                NaN\n",
       "985                                                NaN\n",
       "986                                                NaN\n",
       "987                                                NaN\n",
       "988                                                NaN\n",
       "989                                                   \n",
       "990                                                NaN\n",
       "991                                                NaN\n",
       "992                                                NaN\n",
       "993                                                NaN\n",
       "994                                                NaN\n",
       "995                                                NaN\n",
       "996                                                NaN\n",
       "997                                                NaN\n",
       "998                                                NaN\n",
       "999                                                NaN\n",
       "\n",
       "[1000 rows x 1 columns]"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.loc[:, train_data.isna().any()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Country</th>\n",
       "      <th>self_employed</th>\n",
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       "      <th>no_employees</th>\n",
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       "      <th>...</th>\n",
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       "      <th>VA</th>\n",
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       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "      <th>2</th>\n",
       "      <td>32</td>\n",
       "      <td>Male</td>\n",
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       "      <td>No</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31</td>\n",
       "      <td>Male</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>26-100</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
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       "      <td>No</td>\n",
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       "<p>5 rows × 65 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age  Gender         Country self_employed family_history treatment  \\\n",
       "0   37  Female   United States            No             No       Yes   \n",
       "1   44       M   United States            No             No        No   \n",
       "2   32    Male          Canada            No             No        No   \n",
       "3   31    Male  United Kingdom            No            Yes       Yes   \n",
       "4   31    Male   United States            No             No        No   \n",
       "\n",
       "     no_employees remote_work tech_company wellness_program  ... UT VA VT WA  \\\n",
       "0            6-25          No          Yes               No  ...  0  0  0  0   \n",
       "1  More than 1000          No           No       Don't know  ...  0  0  0  0   \n",
       "2            6-25          No          Yes               No  ...  0  0  0  0   \n",
       "3          26-100          No          Yes               No  ...  0  0  0  0   \n",
       "4         100-500         Yes          Yes       Don't know  ...  0  0  0  0   \n",
       "\n",
       "  WI WV WY Often  Rarely  Sometimes  \n",
       "0  0  0  0     1       0          0  \n",
       "1  0  0  0     0       1          0  \n",
       "2  0  0  0     0       1          0  \n",
       "3  0  0  0     1       0          0  \n",
       "4  0  0  0     0       0          0  \n",
       "\n",
       "[5 rows x 65 columns]"
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.drop(['comments'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age                          0\n",
       "Gender                       0\n",
       "Country                      0\n",
       "self_employed                0\n",
       "family_history               0\n",
       "treatment                    0\n",
       "no_employees                 0\n",
       "remote_work                  0\n",
       "tech_company                 0\n",
       "wellness_program             0\n",
       "seek_help                    0\n",
       "mental_health_consequence    0\n",
       "phys_health_consequence      0\n",
       "supervisor                   0\n",
       "mental_health_interview      0\n",
       "phys_health_interview        0\n",
       "mental_vs_physical           0\n",
       "obs_consequence              0\n",
       "AZ                           0\n",
       "CA                           0\n",
       "CO                           0\n",
       "CT                           0\n",
       "DC                           0\n",
       "FL                           0\n",
       "GA                           0\n",
       "IA                           0\n",
       "ID                           0\n",
       "IL                           0\n",
       "IN                           0\n",
       "KS                           0\n",
       "                            ..\n",
       "MI                           0\n",
       "MN                           0\n",
       "MO                           0\n",
       "MS                           0\n",
       "NC                           0\n",
       "NE                           0\n",
       "NH                           0\n",
       "NJ                           0\n",
       "NM                           0\n",
       "NV                           0\n",
       "NY                           0\n",
       "OH                           0\n",
       "OK                           0\n",
       "OR                           0\n",
       "PA                           0\n",
       "RI                           0\n",
       "SC                           0\n",
       "SD                           0\n",
       "TN                           0\n",
       "TX                           0\n",
       "UT                           0\n",
       "VA                           0\n",
       "VT                           0\n",
       "WA                           0\n",
       "WI                           0\n",
       "WV                           0\n",
       "WY                           0\n",
       "Often                        0\n",
       "Rarely                       0\n",
       "Sometimes                    0\n",
       "Length: 65, dtype: int64"
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert(str):\n",
    "    if str=='m' or str=='Male' or str=='male' or str=='Male ' or str=='Mal' or str=='Mail' or str=='Make' or str=='Guy (-ish) ^_^' or str=='maile' or str=='something kinda male?':\n",
    "        return 'M'\n",
    "    elif str=='f' or str=='Female' or str=='female' or str=='Femake' or str=='Female ' or str=='Woman' or str=='woman':\n",
    "        return 'F'\n",
    "    else:\n",
    "        return str\n",
    "train_data[\"Gender\"]=train_data[\"Gender\"].apply(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Agender', 'Androgyne', 'Cis Female', 'Cis Male', 'Enby', 'F',\n",
      "       'Female (cis)', 'Female (trans)', 'Genderqueer', 'M', 'Male-ish', 'Man',\n",
      "       'Nah', 'Neuter', 'Trans woman', 'Trans-female', 'cis male',\n",
      "       'cis-female/femme', 'fluid', 'male leaning androgynous', 'msle',\n",
      "       'non-binary', 'queer'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "Gender=pd.get_dummies(train_data[\"Gender\"],drop_first=True)\n",
    "print(Gender.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>United States</td>\n",
       "      <td>No</td>\n",
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       "      <td>100-500</td>\n",
       "      <td>Yes</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 87 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age         Country self_employed family_history treatment    no_employees  \\\n",
       "0   37   United States            No             No       Yes            6-25   \n",
       "1   44   United States            No             No        No  More than 1000   \n",
       "2   32          Canada            No             No        No            6-25   \n",
       "3   31  United Kingdom            No            Yes       Yes          26-100   \n",
       "4   31   United States            No             No        No         100-500   \n",
       "\n",
       "  remote_work tech_company wellness_program   seek_help  ... Neuter  \\\n",
       "0          No          Yes               No         Yes  ...      0   \n",
       "1          No           No       Don't know  Don't know  ...      0   \n",
       "2          No          Yes               No          No  ...      0   \n",
       "3          No          Yes               No          No  ...      0   \n",
       "4         Yes          Yes       Don't know  Don't know  ...      0   \n",
       "\n",
       "  Trans woman Trans-female cis male cis-female/femme fluid  \\\n",
       "0           0            0        0                0     0   \n",
       "1           0            0        0                0     0   \n",
       "2           0            0        0                0     0   \n",
       "3           0            0        0                0     0   \n",
       "4           0            0        0                0     0   \n",
       "\n",
       "  male leaning androgynous  msle  non-binary  queer  \n",
       "0                        0     0           0      0  \n",
       "1                        0     0           0      0  \n",
       "2                        0     0           0      0  \n",
       "3                        0     0           0      0  \n",
       "4                        0     0           0      0  \n",
       "\n",
       "[5 rows x 87 columns]"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data = pd.concat([train_data,Gender],axis=1)\n",
    "train_data.drop(['Gender'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
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       "<p>5 rows × 41 columns</p>\n",
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      "text/plain": [
       "   Austria  Bahamas, The  Belgium  Bosnia and Herzegovina  Brazil  Bulgaria  \\\n",
       "0        0             0        0                       0       0         0   \n",
       "1        0             0        0                       0       0         0   \n",
       "2        0             0        0                       0       0         0   \n",
       "3        0             0        0                       0       0         0   \n",
       "4        0             0        0                       0       0         0   \n",
       "\n",
       "   Canada  Colombia  Costa Rica  Croatia  ...  Slovenia  South Africa  Spain  \\\n",
       "0       0         0           0        0  ...         0             0      0   \n",
       "1       0         0           0        0  ...         0             0      0   \n",
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       "4       0         0           0        0  ...         0             0      0   \n",
       "\n",
       "   Sweden  Switzerland  Thailand  United Kingdom  United States  Uruguay  \\\n",
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       "1       0            0         0               0              1        0   \n",
       "2       0            0         0               0              0        0   \n",
       "3       0            0         0               1              0        0   \n",
       "4       0            0         0               0              1        0   \n",
       "\n",
       "   Zimbabwe  \n",
       "0         0  \n",
       "1         0  \n",
       "2         0  \n",
       "3         0  \n",
       "4         0  \n",
       "\n",
       "[5 rows x 41 columns]"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country=pd.get_dummies(train_data[\"Country\"],drop_first=True)\n",
    "country.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "   Age self_employed family_history treatment    no_employees remote_work  \\\n",
       "0   37            No             No       Yes            6-25          No   \n",
       "1   44            No             No        No  More than 1000          No   \n",
       "2   32            No             No        No            6-25          No   \n",
       "3   31            No            Yes       Yes          26-100          No   \n",
       "4   31            No             No        No         100-500         Yes   \n",
       "\n",
       "  tech_company wellness_program   seek_help mental_health_consequence  ...  \\\n",
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       "4          Yes       Don't know  Don't know                        No  ...   \n",
       "\n",
       "  Slovenia South Africa Spain Sweden Switzerland Thailand  United Kingdom  \\\n",
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       "4        0            0     0      0           0        0               0   \n",
       "\n",
       "   United States  Uruguay  Zimbabwe  \n",
       "0              1        0         0  \n",
       "1              1        0         0  \n",
       "2              0        0         0  \n",
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       "\n",
       "[5 rows x 127 columns]"
      ]
     },
     "execution_count": 243,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data = pd.concat([train_data,country],axis=1)\n",
    "train_data.drop(['Country'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
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       "      <td>No</td>\n",
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       "      <td>Don't know</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>6-25</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>26-100</td>\n",
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       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
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       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>No</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 127 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age family_history treatment    no_employees remote_work tech_company  \\\n",
       "0   37             No       Yes            6-25          No          Yes   \n",
       "1   44             No        No  More than 1000          No           No   \n",
       "2   32             No        No            6-25          No          Yes   \n",
       "3   31            Yes       Yes          26-100          No          Yes   \n",
       "4   31             No        No         100-500         Yes          Yes   \n",
       "\n",
       "  wellness_program   seek_help mental_health_consequence  \\\n",
       "0               No         Yes                        No   \n",
       "1       Don't know  Don't know                     Maybe   \n",
       "2               No          No                        No   \n",
       "3               No          No                       Yes   \n",
       "4       Don't know  Don't know                        No   \n",
       "\n",
       "  phys_health_consequence  ... South Africa Spain Sweden Switzerland Thailand  \\\n",
       "0                      No  ...            0     0      0           0        0   \n",
       "1                      No  ...            0     0      0           0        0   \n",
       "2                      No  ...            0     0      0           0        0   \n",
       "3                     Yes  ...            0     0      0           0        0   \n",
       "4                      No  ...            0     0      0           0        0   \n",
       "\n",
       "   United Kingdom  United States  Uruguay  Zimbabwe  Yes  \n",
       "0               0              1        0         0    0  \n",
       "1               0              1        0         0    0  \n",
       "2               0              0        0         0    0  \n",
       "3               1              0        0         0    0  \n",
       "4               0              1        0         0    0  \n",
       "\n",
       "[5 rows x 127 columns]"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "se=pd.get_dummies(train_data[\"self_employed\"],drop_first=True)\n",
    "se.head()\n",
    "train_data = pd.concat([train_data,se],axis=1)\n",
    "train_data.drop(['self_employed'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   Age treatment    no_employees remote_work tech_company wellness_program  \\\n",
       "0   37       Yes            6-25          No          Yes               No   \n",
       "1   44        No  More than 1000          No           No       Don't know   \n",
       "2   32        No            6-25          No          Yes               No   \n",
       "3   31       Yes          26-100          No          Yes               No   \n",
       "4   31        No         100-500         Yes          Yes       Don't know   \n",
       "\n",
       "    seek_help mental_health_consequence phys_health_consequence supervisor  \\\n",
       "0         Yes                        No                      No        Yes   \n",
       "1  Don't know                     Maybe                      No         No   \n",
       "2          No                        No                      No        Yes   \n",
       "3          No                       Yes                     Yes         No   \n",
       "4  Don't know                        No                      No        Yes   \n",
       "\n",
       "   ... Spain Sweden Switzerland Thailand  United Kingdom  United States  \\\n",
       "0  ...     0      0           0        0               0              1   \n",
       "1  ...     0      0           0        0               0              1   \n",
       "2  ...     0      0           0        0               0              0   \n",
       "3  ...     0      0           0        0               1              0   \n",
       "4  ...     0      0           0        0               0              1   \n",
       "\n",
       "   Uruguay  Zimbabwe  Yes  Yes  \n",
       "0        0         0    0    0  \n",
       "1        0         0    0    0  \n",
       "2        0         0    0    0  \n",
       "3        0         0    0    1  \n",
       "4        0         0    0    0  \n",
       "\n",
       "[5 rows x 127 columns]"
      ]
     },
     "execution_count": 245,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "famhis=pd.get_dummies(train_data[\"family_history\"],drop_first=True)\n",
    "famhis.head()\n",
    "train_data = pd.concat([train_data,famhis],axis=1)\n",
    "train_data.drop(['family_history'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<p>5 rows × 127 columns</p>\n",
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      ],
      "text/plain": [
       "   Age treatment    no_employees tech_company wellness_program   seek_help  \\\n",
       "0   37       Yes            6-25          Yes               No         Yes   \n",
       "1   44        No  More than 1000           No       Don't know  Don't know   \n",
       "2   32        No            6-25          Yes               No          No   \n",
       "3   31       Yes          26-100          Yes               No          No   \n",
       "4   31        No         100-500          Yes       Don't know  Don't know   \n",
       "\n",
       "  mental_health_consequence phys_health_consequence supervisor  \\\n",
       "0                        No                      No        Yes   \n",
       "1                     Maybe                      No         No   \n",
       "2                        No                      No        Yes   \n",
       "3                       Yes                     Yes         No   \n",
       "4                        No                      No        Yes   \n",
       "\n",
       "  mental_health_interview  ... Sweden Switzerland Thailand  United Kingdom  \\\n",
       "0                      No  ...      0           0        0               0   \n",
       "1                      No  ...      0           0        0               0   \n",
       "2                     Yes  ...      0           0        0               0   \n",
       "3                   Maybe  ...      0           0        0               1   \n",
       "4                     Yes  ...      0           0        0               0   \n",
       "\n",
       "   United States  Uruguay  Zimbabwe  Yes  Yes  Yes  \n",
       "0              1        0         0    0    0    0  \n",
       "1              1        0         0    0    0    0  \n",
       "2              0        0         0    0    0    0  \n",
       "3              0        0         0    0    1    0  \n",
       "4              1        0         0    0    0    1  \n",
       "\n",
       "[5 rows x 127 columns]"
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"remote_work\"],drop_first=True)\n",
    "remwork.head()\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['remote_work'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Age', 'treatment', 'no_employees', 'tech_company', 'wellness_program',\n",
      "       'seek_help', 'mental_health_consequence', 'phys_health_consequence',\n",
      "       'supervisor', 'mental_health_interview',\n",
      "       ...\n",
      "       'Sweden', 'Switzerland', 'Thailand', 'United Kingdom', 'United States',\n",
      "       'Uruguay', 'Zimbabwe', 'Yes', 'Yes', 'Yes'],\n",
      "      dtype='object', length=127)\n"
     ]
    }
   ],
   "source": [
    "print(train_data.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>treatment</th>\n",
       "      <th>no_employees</th>\n",
       "      <th>wellness_program</th>\n",
       "      <th>seek_help</th>\n",
       "      <th>mental_health_consequence</th>\n",
       "      <th>phys_health_consequence</th>\n",
       "      <th>supervisor</th>\n",
       "      <th>mental_health_interview</th>\n",
       "      <th>phys_health_interview</th>\n",
       "      <th>...</th>\n",
       "      <th>Switzerland</th>\n",
       "      <th>Thailand</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <th>United States</th>\n",
       "      <th>Uruguay</th>\n",
       "      <th>Zimbabwe</th>\n",
       "      <th>Yes</th>\n",
       "      <th>Yes</th>\n",
       "      <th>Yes</th>\n",
       "      <th>Yes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>Yes</td>\n",
       "      <td>6-25</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>No</td>\n",
       "      <td>More than 1000</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32</td>\n",
       "      <td>No</td>\n",
       "      <td>6-25</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31</td>\n",
       "      <td>Yes</td>\n",
       "      <td>26-100</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>No</td>\n",
       "      <td>100-500</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 127 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age treatment    no_employees wellness_program   seek_help  \\\n",
       "0   37       Yes            6-25               No         Yes   \n",
       "1   44        No  More than 1000       Don't know  Don't know   \n",
       "2   32        No            6-25               No          No   \n",
       "3   31       Yes          26-100               No          No   \n",
       "4   31        No         100-500       Don't know  Don't know   \n",
       "\n",
       "  mental_health_consequence phys_health_consequence supervisor  \\\n",
       "0                        No                      No        Yes   \n",
       "1                     Maybe                      No         No   \n",
       "2                        No                      No        Yes   \n",
       "3                       Yes                     Yes         No   \n",
       "4                        No                      No        Yes   \n",
       "\n",
       "  mental_health_interview phys_health_interview  ... Switzerland Thailand  \\\n",
       "0                      No                 Maybe  ...           0        0   \n",
       "1                      No                    No  ...           0        0   \n",
       "2                     Yes                   Yes  ...           0        0   \n",
       "3                   Maybe                 Maybe  ...           0        0   \n",
       "4                     Yes                   Yes  ...           0        0   \n",
       "\n",
       "   United Kingdom  United States  Uruguay  Zimbabwe  Yes  Yes  Yes  Yes  \n",
       "0               0              1        0         0    0    0    0    1  \n",
       "1               0              1        0         0    0    0    0    0  \n",
       "2               0              0        0         0    0    0    0    1  \n",
       "3               1              0        0         0    0    1    0    1  \n",
       "4               0              1        0         0    0    0    1    1  \n",
       "\n",
       "[5 rows x 127 columns]"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"tech_company\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['tech_company'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>treatment</th>\n",
       "      <th>wellness_program</th>\n",
       "      <th>seek_help</th>\n",
       "      <th>mental_health_consequence</th>\n",
       "      <th>phys_health_consequence</th>\n",
       "      <th>supervisor</th>\n",
       "      <th>mental_health_interview</th>\n",
       "      <th>phys_health_interview</th>\n",
       "      <th>mental_vs_physical</th>\n",
       "      <th>...</th>\n",
       "      <th>Zimbabwe</th>\n",
       "      <th>Yes</th>\n",
       "      <th>Yes</th>\n",
       "      <th>Yes</th>\n",
       "      <th>Yes</th>\n",
       "      <th>100-500</th>\n",
       "      <th>26-100</th>\n",
       "      <th>500-1000</th>\n",
       "      <th>6-25</th>\n",
       "      <th>More than 1000</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 131 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age treatment wellness_program   seek_help mental_health_consequence  \\\n",
       "0   37       Yes               No         Yes                        No   \n",
       "1   44        No       Don't know  Don't know                     Maybe   \n",
       "2   32        No               No          No                        No   \n",
       "3   31       Yes               No          No                       Yes   \n",
       "4   31        No       Don't know  Don't know                        No   \n",
       "\n",
       "  phys_health_consequence supervisor mental_health_interview  \\\n",
       "0                      No        Yes                      No   \n",
       "1                      No         No                      No   \n",
       "2                      No        Yes                     Yes   \n",
       "3                     Yes         No                   Maybe   \n",
       "4                      No        Yes                     Yes   \n",
       "\n",
       "  phys_health_interview mental_vs_physical  ... Zimbabwe  Yes  Yes  Yes  Yes  \\\n",
       "0                 Maybe                Yes  ...        0    0    0    0    1   \n",
       "1                    No         Don't know  ...        0    0    0    0    0   \n",
       "2                   Yes                 No  ...        0    0    0    0    1   \n",
       "3                 Maybe                 No  ...        0    0    1    0    1   \n",
       "4                   Yes         Don't know  ...        0    0    0    1    1   \n",
       "\n",
       "   100-500  26-100  500-1000  6-25  More than 1000  \n",
       "0        0       0         0     1               0  \n",
       "1        0       0         0     0               1  \n",
       "2        0       0         0     1               0  \n",
       "3        0       1         0     0               0  \n",
       "4        1       0         0     0               0  \n",
       "\n",
       "[5 rows x 131 columns]"
      ]
     },
     "execution_count": 249,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"no_employees\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['no_employees'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>treatment</th>\n",
       "      <th>seek_help</th>\n",
       "      <th>mental_health_consequence</th>\n",
       "      <th>phys_health_consequence</th>\n",
       "      <th>supervisor</th>\n",
       "      <th>mental_health_interview</th>\n",
       "      <th>phys_health_interview</th>\n",
       "      <th>mental_vs_physical</th>\n",
       "      <th>obs_consequence</th>\n",
       "      <th>...</th>\n",
       "      <th>Yes</th>\n",
       "      <th>Yes</th>\n",
       "      <th>Yes</th>\n",
       "      <th>100-500</th>\n",
       "      <th>26-100</th>\n",
       "      <th>500-1000</th>\n",
       "      <th>6-25</th>\n",
       "      <th>More than 1000</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>No</td>\n",
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       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Don't know</td>\n",
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       "</table>\n",
       "<p>5 rows × 132 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age treatment   seek_help mental_health_consequence  \\\n",
       "0   37       Yes         Yes                        No   \n",
       "1   44        No  Don't know                     Maybe   \n",
       "2   32        No          No                        No   \n",
       "3   31       Yes          No                       Yes   \n",
       "4   31        No  Don't know                        No   \n",
       "\n",
       "  phys_health_consequence supervisor mental_health_interview  \\\n",
       "0                      No        Yes                      No   \n",
       "1                      No         No                      No   \n",
       "2                      No        Yes                     Yes   \n",
       "3                     Yes         No                   Maybe   \n",
       "4                      No        Yes                     Yes   \n",
       "\n",
       "  phys_health_interview mental_vs_physical obs_consequence  ...  Yes  Yes  \\\n",
       "0                 Maybe                Yes              No  ...    0    0   \n",
       "1                    No         Don't know              No  ...    0    0   \n",
       "2                   Yes                 No              No  ...    0    0   \n",
       "3                 Maybe                 No             Yes  ...    1    0   \n",
       "4                   Yes         Don't know              No  ...    0    1   \n",
       "\n",
       "   Yes  100-500  26-100  500-1000  6-25  More than 1000  No  Yes  \n",
       "0    1        0       0         0     1               0   1    0  \n",
       "1    0        0       0         0     0               1   0    0  \n",
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       "3    1        0       1         0     0               0   1    0  \n",
       "4    1        1       0         0     0               0   0    0  \n",
       "\n",
       "[5 rows x 132 columns]"
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"wellness_program\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['wellness_program'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   Age treatment   seek_help mental_health_consequence  \\\n",
       "0   37       Yes         Yes                        No   \n",
       "1   44        No  Don't know                     Maybe   \n",
       "2   32        No          No                        No   \n",
       "3   31       Yes          No                       Yes   \n",
       "4   31        No  Don't know                        No   \n",
       "\n",
       "  phys_health_consequence supervisor mental_health_interview  \\\n",
       "0                      No        Yes                      No   \n",
       "1                      No         No                      No   \n",
       "2                      No        Yes                     Yes   \n",
       "3                     Yes         No                   Maybe   \n",
       "4                      No        Yes                     Yes   \n",
       "\n",
       "  phys_health_interview mental_vs_physical obs_consequence  ...  Yes  Yes  \\\n",
       "0                 Maybe                Yes              No  ...    0    0   \n",
       "1                    No         Don't know              No  ...    0    0   \n",
       "2                   Yes                 No              No  ...    0    0   \n",
       "3                 Maybe                 No             Yes  ...    1    0   \n",
       "4                   Yes         Don't know              No  ...    0    1   \n",
       "\n",
       "   Yes  100-500  26-100  500-1000  6-25  More than 1000  No  Yes  \n",
       "0    1        0       0         0     1               0   1    0  \n",
       "1    0        0       0         0     0               1   0    0  \n",
       "2    1        0       0         0     1               0   1    0  \n",
       "3    1        0       1         0     0               0   1    0  \n",
       "4    1        1       0         0     0               0   0    0  \n",
       "\n",
       "[5 rows x 132 columns]"
      ]
     },
     "execution_count": 251,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<p>5 rows × 133 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age treatment mental_health_consequence phys_health_consequence supervisor  \\\n",
       "0   37       Yes                        No                      No        Yes   \n",
       "1   44        No                     Maybe                      No         No   \n",
       "2   32        No                        No                      No        Yes   \n",
       "3   31       Yes                       Yes                     Yes         No   \n",
       "4   31        No                        No                      No        Yes   \n",
       "\n",
       "  mental_health_interview phys_health_interview mental_vs_physical  \\\n",
       "0                      No                 Maybe                Yes   \n",
       "1                      No                    No         Don't know   \n",
       "2                     Yes                   Yes                 No   \n",
       "3                   Maybe                 Maybe                 No   \n",
       "4                     Yes                   Yes         Don't know   \n",
       "\n",
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       "0              No   0  ...    1        0       0         0     1   \n",
       "1              No   0  ...    0        0       0         0     0   \n",
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       "3             Yes   0  ...    1        0       1         0     0   \n",
       "4              No   0  ...    1        1       0         0     0   \n",
       "\n",
       "   More than 1000  No  Yes  No  Yes  \n",
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       "2               0   1    0   1    0  \n",
       "3               0   1    0   1    0  \n",
       "4               0   0    0   0    0  \n",
       "\n",
       "[5 rows x 133 columns]"
      ]
     },
     "execution_count": 252,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"seek_help\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['seek_help'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [
    {
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       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>2</th>\n",
       "      <td>32</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 134 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age treatment phys_health_consequence supervisor mental_health_interview  \\\n",
       "0   37       Yes                      No        Yes                      No   \n",
       "1   44        No                      No         No                      No   \n",
       "2   32        No                      No        Yes                     Yes   \n",
       "3   31       Yes                     Yes         No                   Maybe   \n",
       "4   31        No                      No        Yes                     Yes   \n",
       "\n",
       "  phys_health_interview mental_vs_physical obs_consequence  AZ  CA  ...  \\\n",
       "0                 Maybe                Yes              No   0   0  ...   \n",
       "1                    No         Don't know              No   0   0  ...   \n",
       "2                   Yes                 No              No   0   0  ...   \n",
       "3                 Maybe                 No             Yes   0   0  ...   \n",
       "4                   Yes         Don't know              No   0   0  ...   \n",
       "\n",
       "   26-100  500-1000  6-25  More than 1000  No  Yes  No  Yes  No  Yes  \n",
       "0       0         0     1               0   1    0   0    1   1    0  \n",
       "1       0         0     0               1   0    0   0    0   0    0  \n",
       "2       0         0     1               0   1    0   1    0   1    0  \n",
       "3       1         0     0               0   1    0   1    0   0    1  \n",
       "4       0         0     0               0   0    0   0    0   1    0  \n",
       "\n",
       "[5 rows x 134 columns]"
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"mental_health_consequence\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['mental_health_consequence'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   Age treatment supervisor mental_health_interview phys_health_interview  \\\n",
       "0   37       Yes        Yes                      No                 Maybe   \n",
       "1   44        No         No                      No                    No   \n",
       "2   32        No        Yes                     Yes                   Yes   \n",
       "3   31       Yes         No                   Maybe                 Maybe   \n",
       "4   31        No        Yes                     Yes                   Yes   \n",
       "\n",
       "  mental_vs_physical obs_consequence  AZ  CA  CO  ...  6-25  More than 1000  \\\n",
       "0                Yes              No   0   0   0  ...     1               0   \n",
       "1         Don't know              No   0   0   0  ...     0               1   \n",
       "2                 No              No   0   0   0  ...     1               0   \n",
       "3                 No             Yes   0   0   0  ...     0               0   \n",
       "4         Don't know              No   0   0   0  ...     0               0   \n",
       "\n",
       "   No  Yes  No  Yes  No  Yes  No  Yes  \n",
       "0   1    0   0    1   1    0   1    0  \n",
       "1   0    0   0    0   0    0   1    0  \n",
       "2   1    0   1    0   1    0   1    0  \n",
       "3   1    0   1    0   0    1   0    1  \n",
       "4   0    0   0    0   1    0   1    0  \n",
       "\n",
       "[5 rows x 135 columns]"
      ]
     },
     "execution_count": 254,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"phys_health_consequence\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['phys_health_consequence'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<p>5 rows × 136 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age treatment mental_health_interview phys_health_interview  \\\n",
       "0   37       Yes                      No                 Maybe   \n",
       "1   44        No                      No                    No   \n",
       "2   32        No                     Yes                   Yes   \n",
       "3   31       Yes                   Maybe                 Maybe   \n",
       "4   31        No                     Yes                   Yes   \n",
       "\n",
       "  mental_vs_physical obs_consequence  AZ  CA  CO  CT  ...  No  Yes  No  Yes  \\\n",
       "0                Yes              No   0   0   0   0  ...   1    0   0    1   \n",
       "1         Don't know              No   0   0   0   0  ...   0    0   0    0   \n",
       "2                 No              No   0   0   0   0  ...   1    0   1    0   \n",
       "3                 No             Yes   0   0   0   0  ...   1    0   1    0   \n",
       "4         Don't know              No   0   0   0   0  ...   0    0   0    0   \n",
       "\n",
       "   No  Yes  No  Yes  Some of them  Yes  \n",
       "0   1    0   1    0             0    1  \n",
       "1   0    0   1    0             0    0  \n",
       "2   1    0   1    0             0    1  \n",
       "3   0    1   0    1             0    0  \n",
       "4   1    0   1    0             0    1  \n",
       "\n",
       "[5 rows x 136 columns]"
      ]
     },
     "execution_count": 255,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"supervisor\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['supervisor'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>CO</th>\n",
       "      <th>CT</th>\n",
       "      <th>DC</th>\n",
       "      <th>...</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "      <th>Some of them</th>\n",
       "      <th>Yes</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 137 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age treatment phys_health_interview mental_vs_physical obs_consequence  AZ  \\\n",
       "0   37       Yes                 Maybe                Yes              No   0   \n",
       "1   44        No                    No         Don't know              No   0   \n",
       "2   32        No                   Yes                 No              No   0   \n",
       "3   31       Yes                 Maybe                 No             Yes   0   \n",
       "4   31        No                   Yes         Don't know              No   0   \n",
       "\n",
       "   CA  CO  CT  DC  ...  No  Yes  No  Yes  No  Yes  Some of them  Yes  No  Yes  \n",
       "0   0   0   0   0  ...   0    1   1    0   1    0             0    1   1    0  \n",
       "1   0   0   0   0  ...   0    0   0    0   1    0             0    0   1    0  \n",
       "2   0   0   0   0  ...   1    0   1    0   1    0             0    1   0    1  \n",
       "3   0   0   0   0  ...   1    0   0    1   0    1             0    0   0    0  \n",
       "4   0   0   0   0  ...   0    0   1    0   1    0             0    1   0    1  \n",
       "\n",
       "[5 rows x 137 columns]"
      ]
     },
     "execution_count": 256,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"mental_health_interview\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['mental_health_interview'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<p>5 rows × 138 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age treatment mental_vs_physical obs_consequence  AZ  CA  CO  CT  DC  FL  \\\n",
       "0   37       Yes                Yes              No   0   0   0   0   0   0   \n",
       "1   44        No         Don't know              No   0   0   0   0   0   0   \n",
       "2   32        No                 No              No   0   0   0   0   0   0   \n",
       "3   31       Yes                 No             Yes   0   0   0   0   0   0   \n",
       "4   31        No         Don't know              No   0   0   0   0   0   0   \n",
       "\n",
       "   ...  No  Yes  No  Yes  Some of them  Yes  No  Yes  No  Yes  \n",
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       "3  ...   0    1   0    1             0    0   0    0   0    0  \n",
       "4  ...   1    0   1    0             0    1   0    1   0    1  \n",
       "\n",
       "[5 rows x 138 columns]"
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"phys_health_interview\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['phys_health_interview'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0</td>\n",
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       "</table>\n",
       "<p>5 rows × 139 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age treatment obs_consequence  AZ  CA  CO  CT  DC  FL  GA  ...  No  Yes  \\\n",
       "0   37       Yes              No   0   0   0   0   0   0   0  ...   1    0   \n",
       "1   44        No              No   0   0   0   0   0   0   0  ...   1    0   \n",
       "2   32        No              No   0   0   0   0   0   0   0  ...   1    0   \n",
       "3   31       Yes             Yes   0   0   0   0   0   0   0  ...   0    1   \n",
       "4   31        No              No   0   0   0   0   0   0   0  ...   1    0   \n",
       "\n",
       "   Some of them  Yes  No  Yes  No  Yes  No  Yes  \n",
       "0             0    1   1    0   0    0   0    1  \n",
       "1             0    0   1    0   1    0   0    0  \n",
       "2             0    1   0    1   0    1   1    0  \n",
       "3             0    0   0    0   0    0   1    0  \n",
       "4             0    1   0    1   0    1   0    0  \n",
       "\n",
       "[5 rows x 139 columns]"
      ]
     },
     "execution_count": 258,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"mental_vs_physical\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['mental_vs_physical'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [
    {
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       "<p>5 rows × 139 columns</p>\n",
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      ],
      "text/plain": [
       "   Age treatment  AZ  CA  CO  CT  DC  FL  GA  IA  ...  Yes  Some of them  Yes  \\\n",
       "0   37       Yes   0   0   0   0   0   0   0   0  ...    0             0    1   \n",
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       "3   31       Yes   0   0   0   0   0   0   0   0  ...    1             0    0   \n",
       "4   31        No   0   0   0   0   0   0   0   0  ...    0             0    1   \n",
       "\n",
       "   No  Yes  No  Yes  No  Yes  Yes  \n",
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       "\n",
       "[5 rows x 139 columns]"
      ]
     },
     "execution_count": 259,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remwork=pd.get_dummies(train_data[\"obs_consequence\"],drop_first=True)\n",
    "train_data = pd.concat([train_data,remwork],axis=1)\n",
    "train_data.drop(['obs_consequence'],axis=1,inplace=True)\n",
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 139 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Age  treatment  AZ  CA  CO  CT  DC  FL  GA  IA  ...  Yes  Some of them  \\\n",
       "0     37          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "1     44          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "2     32          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "3     31          1   0   0   0   0   0   0   0   0  ...    1             0   \n",
       "4     31          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "5     33          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "6     35          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "7     39          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "8     42          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "9     23          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "10    31          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "11    29          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "12    42          1   0   1   0   0   0   0   0   0  ...    1             0   \n",
       "13    36          0   0   0   0   1   0   0   0   0  ...    0             0   \n",
       "14    27          0   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "15    29          1   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "16    23          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "17    32          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "18    46          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "19    36          0   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "20    29          1   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "21    31          0   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "22    46          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "23    41          1   0   0   0   0   0   0   0   1  ...    0             0   \n",
       "24    33          1   0   1   0   0   0   0   0   0  ...    0             0   \n",
       "25    35          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "26    33          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "27    35          1   0   1   0   0   0   0   0   0  ...    0             0   \n",
       "28    34          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "29    37          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "..   ...        ...  ..  ..  ..  ..  ..  ..  ..  ..  ...  ...           ...   \n",
       "970   43          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "971   30          1   0   0   0   0   0   0   0   0  ...    1             0   \n",
       "972   40          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "973   49          0   0   0   0   0   0   0   1   0  ...    0             0   \n",
       "974   29          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "975   26          0   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "976   38          0   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "977   27          0   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "978   26          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "979   28          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "980   40          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "981   37          1   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "982   34          1   0   0   0   0   0   0   0   0  ...    1             0   \n",
       "983   28          1   0   0   0   0   0   0   0   0  ...    0             1   \n",
       "984   27          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "985   29          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "986   39          0   0   0   0   0   0   0   0   0  ...    1             0   \n",
       "987   28          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "988   23          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "989    8          1   0   0   0   0   0   0   0   0  ...    1             0   \n",
       "990   38          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "991   19          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "992   30          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "993   28          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "994   20          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "995   35          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "996   39          1   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "997   31          0   0   0   0   0   0   0   0   0  ...    1             0   \n",
       "998   32          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "999   27          0   0   0   0   0   0   0   0   0  ...    0             0   \n",
       "\n",
       "     Yes  No  Yes  No  Yes  No  Yes  Yes  \n",
       "0      1   1    0   0    0   0    1    0  \n",
       "1      0   1    0   1    0   0    0    0  \n",
       "2      1   0    1   0    1   1    0    0  \n",
       "3      0   0    0   0    0   1    0    1  \n",
       "4      1   0    1   0    1   0    0    0  \n",
       "5      1   1    0   0    0   0    0    0  \n",
       "6      0   1    0   1    0   0    0    0  \n",
       "7      0   1    0   1    0   1    0    0  \n",
       "8      1   1    0   0    0   1    0    0  \n",
       "9      1   0    0   0    0   0    1    0  \n",
       "10     1   1    0   1    0   0    0    0  \n",
       "11     1   0    1   0    1   0    0    0  \n",
       "12     1   0    0   0    0   1    0    1  \n",
       "13     1   1    0   1    0   0    0    0  \n",
       "14     0   0    0   0    1   0    1    0  \n",
       "15     0   0    0   0    0   0    0    0  \n",
       "16     0   0    0   0    0   1    0    0  \n",
       "17     1   1    0   1    0   1    0    0  \n",
       "18     1   1    0   0    1   0    1    1  \n",
       "19     0   0    0   0    0   0    0    0  \n",
       "20     0   1    0   1    0   1    0    0  \n",
       "21     0   1    0   0    0   0    1    0  \n",
       "22     1   1    0   0    0   1    0    0  \n",
       "23     0   1    0   0    1   0    0    0  \n",
       "24     1   1    0   0    1   0    0    0  \n",
       "25     1   1    0   0    1   1    0    0  \n",
       "26     0   1    0   1    0   0    0    0  \n",
       "27     1   0    0   0    0   0    1    0  \n",
       "28     0   1    0   1    0   1    0    0  \n",
       "29     0   1    0   0    0   1    0    0  \n",
       "..   ...  ..  ...  ..  ...  ..  ...  ...  \n",
       "970    0   1    0   0    0   1    0    1  \n",
       "971    0   1    0   1    0   0    1    1  \n",
       "972    1   1    0   0    0   0    0    0  \n",
       "973    1   1    0   1    0   0    1    0  \n",
       "974    1   0    0   0    1   0    0    0  \n",
       "975    0   0    0   0    0   0    0    0  \n",
       "976    0   1    0   0    0   1    0    1  \n",
       "977    0   1    0   0    0   0    0    1  \n",
       "978    0   1    0   1    0   0    0    0  \n",
       "979    1   1    0   1    0   1    0    0  \n",
       "980    1   1    0   0    0   1    0    0  \n",
       "981    0   0    0   0    0   0    0    1  \n",
       "982    0   1    0   1    0   0    0    0  \n",
       "983    0   1    0   0    1   0    0    0  \n",
       "984    1   0    0   0    0   0    1    0  \n",
       "985    1   1    0   0    1   0    1    0  \n",
       "986    0   1    0   1    0   1    0    1  \n",
       "987    0   1    0   0    1   0    1    0  \n",
       "988    0   1    0   0    0   0    0    0  \n",
       "989    1   0    1   0    1   0    1    1  \n",
       "990    1   1    0   1    0   0    0    0  \n",
       "991    1   1    0   1    0   0    1    0  \n",
       "992    0   1    0   1    0   0    1    0  \n",
       "993    0   1    0   1    0   0    1    0  \n",
       "994    0   1    0   0    0   0    1    0  \n",
       "995    1   1    0   1    0   0    0    0  \n",
       "996    1   1    0   1    0   0    0    0  \n",
       "997    0   1    0   1    0   0    0    0  \n",
       "998    0   1    0   1    0   0    0    0  \n",
       "999    0   1    0   1    0   0    0    0  \n",
       "\n",
       "[1000 rows x 139 columns]"
      ]
     },
     "execution_count": 260,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data[\"treatment\"]=train_data[\"treatment\"].apply(lambda x: 1 if x=='Yes' else 0 if x=='No' else -1)\n",
    "train_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y=train_data[\"treatment\"]\n",
    "X=train_data.drop(['treatment'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=0.2,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy',\n",
       "            max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, n_estimators=1000, n_jobs=None,\n",
       "            oob_score=False, random_state=0, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "regressor=RandomForestClassifier(n_estimators=1000,criterion = 'entropy',random_state=0)\n",
    "regressor.fit(X_train,Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.175"
      ]
     },
     "execution_count": 281,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_pred=regressor.predict(X_test)\n",
    "mean_squared_error(Y_test,Y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='entropy',\n",
       "           max_depth=50, max_features=100, max_leaf_nodes=None,\n",
       "           min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "           min_samples_leaf=5, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators=1000, n_jobs=None,\n",
       "           oob_score=False, random_state=None, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "regressor=ExtraTreesClassifier(n_estimators=1000,max_features= 100,criterion= 'entropy',min_samples_split= 2,max_depth= 50, min_samples_leaf= 5)\n",
    "regressor.fit(X_train,Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.15"
      ]
     },
     "execution_count": 301,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_pred=regressor.predict(X_test)\n",
    "mean_squared_error(Y_test,Y_pred)"
   ]
  }
 ],
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