Bank_loan_edition.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**IMPORTING**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.chdir(\"C://Users//RamyaV//Desktop//Datasets\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\RamyaV\\\\Desktop\\\\Datasets'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**READING THE FILE**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"bank-full.csv\",delimiter = ';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>default</th>\n",
       "      <th>balance</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>contact</th>\n",
       "      <th>day</th>\n",
       "      <th>month</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "      <th>poutcome</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>58</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>2143</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>261</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>29</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>151</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>33</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>47</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>1506</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33</td>\n",
       "      <td>unknown</td>\n",
       "      <td>single</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>198</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>35</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>231</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>139</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>28</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>447</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>217</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>42</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>divorced</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>yes</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>380</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>58</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>121</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>43</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>593</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>41</td>\n",
       "      <td>admin.</td>\n",
       "      <td>divorced</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>270</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>222</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>29</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>390</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>137</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>53</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>6</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>517</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>58</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>71</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>71</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>57</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>162</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>174</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>51</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>229</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>353</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>45</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>13</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>98</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>57</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>52</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>60</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>60</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>219</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>33</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>28</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>723</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>262</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>56</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>779</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>164</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>32</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>single</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>23</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>160</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>25</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>50</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>342</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>40</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>181</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>44</td>\n",
       "      <td>admin.</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>-372</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>172</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>39</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>255</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>296</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>52</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>113</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>127</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>46</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>-246</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>255</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>36</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>265</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>348</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45181</th>\n",
       "      <td>46</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>6879</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>15</td>\n",
       "      <td>nov</td>\n",
       "      <td>74</td>\n",
       "      <td>2</td>\n",
       "      <td>118</td>\n",
       "      <td>3</td>\n",
       "      <td>failure</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45182</th>\n",
       "      <td>34</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>133</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>15</td>\n",
       "      <td>nov</td>\n",
       "      <td>401</td>\n",
       "      <td>2</td>\n",
       "      <td>187</td>\n",
       "      <td>5</td>\n",
       "      <td>success</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45183</th>\n",
       "      <td>70</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>324</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>15</td>\n",
       "      <td>nov</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>96</td>\n",
       "      <td>7</td>\n",
       "      <td>success</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45184</th>\n",
       "      <td>63</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1495</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>138</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "      <td>success</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45185</th>\n",
       "      <td>60</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>4256</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>200</td>\n",
       "      <td>1</td>\n",
       "      <td>92</td>\n",
       "      <td>4</td>\n",
       "      <td>success</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45186</th>\n",
       "      <td>59</td>\n",
       "      <td>unknown</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>1500</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>280</td>\n",
       "      <td>1</td>\n",
       "      <td>104</td>\n",
       "      <td>2</td>\n",
       "      <td>failure</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45187</th>\n",
       "      <td>32</td>\n",
       "      <td>services</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1168</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>411</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45188</th>\n",
       "      <td>29</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>703</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>236</td>\n",
       "      <td>1</td>\n",
       "      <td>550</td>\n",
       "      <td>2</td>\n",
       "      <td>success</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45189</th>\n",
       "      <td>25</td>\n",
       "      <td>services</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>199</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>173</td>\n",
       "      <td>1</td>\n",
       "      <td>92</td>\n",
       "      <td>5</td>\n",
       "      <td>failure</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45190</th>\n",
       "      <td>32</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>136</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>206</td>\n",
       "      <td>1</td>\n",
       "      <td>188</td>\n",
       "      <td>3</td>\n",
       "      <td>success</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45191</th>\n",
       "      <td>75</td>\n",
       "      <td>retired</td>\n",
       "      <td>divorced</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>3810</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>262</td>\n",
       "      <td>1</td>\n",
       "      <td>183</td>\n",
       "      <td>1</td>\n",
       "      <td>failure</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45192</th>\n",
       "      <td>29</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>765</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>238</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45193</th>\n",
       "      <td>28</td>\n",
       "      <td>self-employed</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>159</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>449</td>\n",
       "      <td>2</td>\n",
       "      <td>33</td>\n",
       "      <td>4</td>\n",
       "      <td>success</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45194</th>\n",
       "      <td>59</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>138</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>162</td>\n",
       "      <td>2</td>\n",
       "      <td>187</td>\n",
       "      <td>5</td>\n",
       "      <td>failure</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45195</th>\n",
       "      <td>68</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1146</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>212</td>\n",
       "      <td>1</td>\n",
       "      <td>187</td>\n",
       "      <td>6</td>\n",
       "      <td>success</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45196</th>\n",
       "      <td>25</td>\n",
       "      <td>student</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>358</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>330</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45197</th>\n",
       "      <td>36</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1511</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>270</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45198</th>\n",
       "      <td>37</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>1428</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>333</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45199</th>\n",
       "      <td>34</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1475</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>1166</td>\n",
       "      <td>3</td>\n",
       "      <td>530</td>\n",
       "      <td>12</td>\n",
       "      <td>other</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45200</th>\n",
       "      <td>38</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>557</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>16</td>\n",
       "      <td>nov</td>\n",
       "      <td>1556</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45201</th>\n",
       "      <td>53</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>583</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>226</td>\n",
       "      <td>1</td>\n",
       "      <td>184</td>\n",
       "      <td>4</td>\n",
       "      <td>success</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45202</th>\n",
       "      <td>34</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>557</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>224</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45203</th>\n",
       "      <td>23</td>\n",
       "      <td>student</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>113</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>266</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45204</th>\n",
       "      <td>73</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>2850</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>300</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "      <td>8</td>\n",
       "      <td>failure</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45205</th>\n",
       "      <td>25</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>505</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>cellular</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>386</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45206</th>\n",
       "      <td>51</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>825</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>977</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45207</th>\n",
       "      <td>71</td>\n",
       "      <td>retired</td>\n",
       "      <td>divorced</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>1729</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>456</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45208</th>\n",
       "      <td>72</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>5715</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>1127</td>\n",
       "      <td>5</td>\n",
       "      <td>184</td>\n",
       "      <td>3</td>\n",
       "      <td>success</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45209</th>\n",
       "      <td>57</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>668</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>telephone</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>508</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45210</th>\n",
       "      <td>37</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>2971</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>17</td>\n",
       "      <td>nov</td>\n",
       "      <td>361</td>\n",
       "      <td>2</td>\n",
       "      <td>188</td>\n",
       "      <td>11</td>\n",
       "      <td>other</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45211 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age            job   marital  education default  balance housing loan  \\\n",
       "0       58     management   married   tertiary      no     2143     yes   no   \n",
       "1       44     technician    single  secondary      no       29     yes   no   \n",
       "2       33   entrepreneur   married  secondary      no        2     yes  yes   \n",
       "3       47    blue-collar   married    unknown      no     1506     yes   no   \n",
       "4       33        unknown    single    unknown      no        1      no   no   \n",
       "5       35     management   married   tertiary      no      231     yes   no   \n",
       "6       28     management    single   tertiary      no      447     yes  yes   \n",
       "7       42   entrepreneur  divorced   tertiary     yes        2     yes   no   \n",
       "8       58        retired   married    primary      no      121     yes   no   \n",
       "9       43     technician    single  secondary      no      593     yes   no   \n",
       "10      41         admin.  divorced  secondary      no      270     yes   no   \n",
       "11      29         admin.    single  secondary      no      390     yes   no   \n",
       "12      53     technician   married  secondary      no        6     yes   no   \n",
       "13      58     technician   married    unknown      no       71     yes   no   \n",
       "14      57       services   married  secondary      no      162     yes   no   \n",
       "15      51        retired   married    primary      no      229     yes   no   \n",
       "16      45         admin.    single    unknown      no       13     yes   no   \n",
       "17      57    blue-collar   married    primary      no       52     yes   no   \n",
       "18      60        retired   married    primary      no       60     yes   no   \n",
       "19      33       services   married  secondary      no        0     yes   no   \n",
       "20      28    blue-collar   married  secondary      no      723     yes  yes   \n",
       "21      56     management   married   tertiary      no      779     yes   no   \n",
       "22      32    blue-collar    single    primary      no       23     yes  yes   \n",
       "23      25       services   married  secondary      no       50     yes   no   \n",
       "24      40        retired   married    primary      no        0     yes  yes   \n",
       "25      44         admin.   married  secondary      no     -372     yes   no   \n",
       "26      39     management    single   tertiary      no      255     yes   no   \n",
       "27      52   entrepreneur   married  secondary      no      113     yes  yes   \n",
       "28      46     management    single  secondary      no     -246     yes   no   \n",
       "29      36     technician    single  secondary      no      265     yes  yes   \n",
       "...    ...            ...       ...        ...     ...      ...     ...  ...   \n",
       "45181   46    blue-collar   married  secondary      no     6879      no   no   \n",
       "45182   34     technician   married  secondary      no      133      no   no   \n",
       "45183   70        retired   married    primary      no      324      no   no   \n",
       "45184   63        retired   married  secondary      no     1495      no   no   \n",
       "45185   60       services   married   tertiary      no     4256     yes   no   \n",
       "45186   59        unknown   married    unknown      no     1500      no   no   \n",
       "45187   32       services    single  secondary      no     1168     yes   no   \n",
       "45188   29     management    single  secondary      no      703     yes   no   \n",
       "45189   25       services    single  secondary      no      199      no   no   \n",
       "45190   32    blue-collar   married  secondary      no      136      no   no   \n",
       "45191   75        retired  divorced   tertiary      no     3810     yes   no   \n",
       "45192   29     management    single   tertiary      no      765      no   no   \n",
       "45193   28  self-employed    single   tertiary      no      159      no   no   \n",
       "45194   59     management   married   tertiary      no      138     yes  yes   \n",
       "45195   68        retired   married  secondary      no     1146      no   no   \n",
       "45196   25        student    single  secondary      no      358      no   no   \n",
       "45197   36     management    single  secondary      no     1511     yes   no   \n",
       "45198   37     management   married   tertiary      no     1428      no   no   \n",
       "45199   34    blue-collar    single  secondary      no     1475     yes   no   \n",
       "45200   38     technician   married  secondary      no      557     yes   no   \n",
       "45201   53     management   married   tertiary      no      583      no   no   \n",
       "45202   34         admin.    single  secondary      no      557      no   no   \n",
       "45203   23        student    single   tertiary      no      113      no   no   \n",
       "45204   73        retired   married  secondary      no     2850      no   no   \n",
       "45205   25     technician    single  secondary      no      505      no  yes   \n",
       "45206   51     technician   married   tertiary      no      825      no   no   \n",
       "45207   71        retired  divorced    primary      no     1729      no   no   \n",
       "45208   72        retired   married  secondary      no     5715      no   no   \n",
       "45209   57    blue-collar   married  secondary      no      668      no   no   \n",
       "45210   37   entrepreneur   married  secondary      no     2971      no   no   \n",
       "\n",
       "         contact  day month  duration  campaign  pdays  previous poutcome    y  \n",
       "0        unknown    5   may       261         1     -1         0  unknown   no  \n",
       "1        unknown    5   may       151         1     -1         0  unknown   no  \n",
       "2        unknown    5   may        76         1     -1         0  unknown   no  \n",
       "3        unknown    5   may        92         1     -1         0  unknown   no  \n",
       "4        unknown    5   may       198         1     -1         0  unknown   no  \n",
       "5        unknown    5   may       139         1     -1         0  unknown   no  \n",
       "6        unknown    5   may       217         1     -1         0  unknown   no  \n",
       "7        unknown    5   may       380         1     -1         0  unknown   no  \n",
       "8        unknown    5   may        50         1     -1         0  unknown   no  \n",
       "9        unknown    5   may        55         1     -1         0  unknown   no  \n",
       "10       unknown    5   may       222         1     -1         0  unknown   no  \n",
       "11       unknown    5   may       137         1     -1         0  unknown   no  \n",
       "12       unknown    5   may       517         1     -1         0  unknown   no  \n",
       "13       unknown    5   may        71         1     -1         0  unknown   no  \n",
       "14       unknown    5   may       174         1     -1         0  unknown   no  \n",
       "15       unknown    5   may       353         1     -1         0  unknown   no  \n",
       "16       unknown    5   may        98         1     -1         0  unknown   no  \n",
       "17       unknown    5   may        38         1     -1         0  unknown   no  \n",
       "18       unknown    5   may       219         1     -1         0  unknown   no  \n",
       "19       unknown    5   may        54         1     -1         0  unknown   no  \n",
       "20       unknown    5   may       262         1     -1         0  unknown   no  \n",
       "21       unknown    5   may       164         1     -1         0  unknown   no  \n",
       "22       unknown    5   may       160         1     -1         0  unknown   no  \n",
       "23       unknown    5   may       342         1     -1         0  unknown   no  \n",
       "24       unknown    5   may       181         1     -1         0  unknown   no  \n",
       "25       unknown    5   may       172         1     -1         0  unknown   no  \n",
       "26       unknown    5   may       296         1     -1         0  unknown   no  \n",
       "27       unknown    5   may       127         1     -1         0  unknown   no  \n",
       "28       unknown    5   may       255         2     -1         0  unknown   no  \n",
       "29       unknown    5   may       348         1     -1         0  unknown   no  \n",
       "...          ...  ...   ...       ...       ...    ...       ...      ...  ...  \n",
       "45181   cellular   15   nov        74         2    118         3  failure   no  \n",
       "45182   cellular   15   nov       401         2    187         5  success  yes  \n",
       "45183   cellular   15   nov        78         1     96         7  success   no  \n",
       "45184   cellular   16   nov       138         1     22         5  success   no  \n",
       "45185   cellular   16   nov       200         1     92         4  success  yes  \n",
       "45186   cellular   16   nov       280         1    104         2  failure   no  \n",
       "45187   cellular   16   nov       411         1     -1         0  unknown  yes  \n",
       "45188   cellular   16   nov       236         1    550         2  success  yes  \n",
       "45189   cellular   16   nov       173         1     92         5  failure   no  \n",
       "45190   cellular   16   nov       206         1    188         3  success  yes  \n",
       "45191   cellular   16   nov       262         1    183         1  failure  yes  \n",
       "45192   cellular   16   nov       238         1     -1         0  unknown  yes  \n",
       "45193   cellular   16   nov       449         2     33         4  success  yes  \n",
       "45194   cellular   16   nov       162         2    187         5  failure   no  \n",
       "45195   cellular   16   nov       212         1    187         6  success  yes  \n",
       "45196   cellular   16   nov       330         1     -1         0  unknown  yes  \n",
       "45197   cellular   16   nov       270         1     -1         0  unknown  yes  \n",
       "45198   cellular   16   nov       333         2     -1         0  unknown   no  \n",
       "45199   cellular   16   nov      1166         3    530        12    other   no  \n",
       "45200   cellular   16   nov      1556         4     -1         0  unknown  yes  \n",
       "45201   cellular   17   nov       226         1    184         4  success  yes  \n",
       "45202   cellular   17   nov       224         1     -1         0  unknown  yes  \n",
       "45203   cellular   17   nov       266         1     -1         0  unknown  yes  \n",
       "45204   cellular   17   nov       300         1     40         8  failure  yes  \n",
       "45205   cellular   17   nov       386         2     -1         0  unknown  yes  \n",
       "45206   cellular   17   nov       977         3     -1         0  unknown  yes  \n",
       "45207   cellular   17   nov       456         2     -1         0  unknown  yes  \n",
       "45208   cellular   17   nov      1127         5    184         3  success  yes  \n",
       "45209  telephone   17   nov       508         4     -1         0  unknown   no  \n",
       "45210   cellular   17   nov       361         2    188        11    other   no  \n",
       "\n",
       "[45211 rows x 17 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**DROPPING UNECESSARY COLUMNS**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>default</th>\n",
       "      <th>balance</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>58</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>2143</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>29</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>33</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>47</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>1506</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33</td>\n",
       "      <td>unknown</td>\n",
       "      <td>single</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>35</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>231</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>28</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>447</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>42</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>divorced</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>yes</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>58</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>121</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>43</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>593</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>41</td>\n",
       "      <td>admin.</td>\n",
       "      <td>divorced</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>270</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>29</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>390</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>53</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>6</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>58</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>71</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>57</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>162</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>51</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>229</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>45</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>13</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>57</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>52</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>60</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>60</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>33</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>28</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>723</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>56</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>779</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>32</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>single</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>23</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>25</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>50</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>40</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>44</td>\n",
       "      <td>admin.</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>-372</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>39</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>255</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>52</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>113</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>46</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>-246</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>36</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>265</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45181</th>\n",
       "      <td>46</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>6879</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45182</th>\n",
       "      <td>34</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>133</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45183</th>\n",
       "      <td>70</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>324</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45184</th>\n",
       "      <td>63</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1495</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45185</th>\n",
       "      <td>60</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>4256</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45186</th>\n",
       "      <td>59</td>\n",
       "      <td>unknown</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>1500</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45187</th>\n",
       "      <td>32</td>\n",
       "      <td>services</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1168</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45188</th>\n",
       "      <td>29</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>703</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45189</th>\n",
       "      <td>25</td>\n",
       "      <td>services</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>199</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45190</th>\n",
       "      <td>32</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>136</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45191</th>\n",
       "      <td>75</td>\n",
       "      <td>retired</td>\n",
       "      <td>divorced</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>3810</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45192</th>\n",
       "      <td>29</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>765</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45193</th>\n",
       "      <td>28</td>\n",
       "      <td>self-employed</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>159</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45194</th>\n",
       "      <td>59</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>138</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45195</th>\n",
       "      <td>68</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1146</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45196</th>\n",
       "      <td>25</td>\n",
       "      <td>student</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>358</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45197</th>\n",
       "      <td>36</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1511</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45198</th>\n",
       "      <td>37</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>1428</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45199</th>\n",
       "      <td>34</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>1475</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45200</th>\n",
       "      <td>38</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>557</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45201</th>\n",
       "      <td>53</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>583</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45202</th>\n",
       "      <td>34</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>557</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45203</th>\n",
       "      <td>23</td>\n",
       "      <td>student</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>113</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45204</th>\n",
       "      <td>73</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>2850</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45205</th>\n",
       "      <td>25</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>505</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45206</th>\n",
       "      <td>51</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>825</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45207</th>\n",
       "      <td>71</td>\n",
       "      <td>retired</td>\n",
       "      <td>divorced</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>1729</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45208</th>\n",
       "      <td>72</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>5715</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45209</th>\n",
       "      <td>57</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>668</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45210</th>\n",
       "      <td>37</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>2971</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45211 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age            job   marital  education default  balance housing loan  \\\n",
       "0       58     management   married   tertiary      no     2143     yes   no   \n",
       "1       44     technician    single  secondary      no       29     yes   no   \n",
       "2       33   entrepreneur   married  secondary      no        2     yes  yes   \n",
       "3       47    blue-collar   married    unknown      no     1506     yes   no   \n",
       "4       33        unknown    single    unknown      no        1      no   no   \n",
       "5       35     management   married   tertiary      no      231     yes   no   \n",
       "6       28     management    single   tertiary      no      447     yes  yes   \n",
       "7       42   entrepreneur  divorced   tertiary     yes        2     yes   no   \n",
       "8       58        retired   married    primary      no      121     yes   no   \n",
       "9       43     technician    single  secondary      no      593     yes   no   \n",
       "10      41         admin.  divorced  secondary      no      270     yes   no   \n",
       "11      29         admin.    single  secondary      no      390     yes   no   \n",
       "12      53     technician   married  secondary      no        6     yes   no   \n",
       "13      58     technician   married    unknown      no       71     yes   no   \n",
       "14      57       services   married  secondary      no      162     yes   no   \n",
       "15      51        retired   married    primary      no      229     yes   no   \n",
       "16      45         admin.    single    unknown      no       13     yes   no   \n",
       "17      57    blue-collar   married    primary      no       52     yes   no   \n",
       "18      60        retired   married    primary      no       60     yes   no   \n",
       "19      33       services   married  secondary      no        0     yes   no   \n",
       "20      28    blue-collar   married  secondary      no      723     yes  yes   \n",
       "21      56     management   married   tertiary      no      779     yes   no   \n",
       "22      32    blue-collar    single    primary      no       23     yes  yes   \n",
       "23      25       services   married  secondary      no       50     yes   no   \n",
       "24      40        retired   married    primary      no        0     yes  yes   \n",
       "25      44         admin.   married  secondary      no     -372     yes   no   \n",
       "26      39     management    single   tertiary      no      255     yes   no   \n",
       "27      52   entrepreneur   married  secondary      no      113     yes  yes   \n",
       "28      46     management    single  secondary      no     -246     yes   no   \n",
       "29      36     technician    single  secondary      no      265     yes  yes   \n",
       "...    ...            ...       ...        ...     ...      ...     ...  ...   \n",
       "45181   46    blue-collar   married  secondary      no     6879      no   no   \n",
       "45182   34     technician   married  secondary      no      133      no   no   \n",
       "45183   70        retired   married    primary      no      324      no   no   \n",
       "45184   63        retired   married  secondary      no     1495      no   no   \n",
       "45185   60       services   married   tertiary      no     4256     yes   no   \n",
       "45186   59        unknown   married    unknown      no     1500      no   no   \n",
       "45187   32       services    single  secondary      no     1168     yes   no   \n",
       "45188   29     management    single  secondary      no      703     yes   no   \n",
       "45189   25       services    single  secondary      no      199      no   no   \n",
       "45190   32    blue-collar   married  secondary      no      136      no   no   \n",
       "45191   75        retired  divorced   tertiary      no     3810     yes   no   \n",
       "45192   29     management    single   tertiary      no      765      no   no   \n",
       "45193   28  self-employed    single   tertiary      no      159      no   no   \n",
       "45194   59     management   married   tertiary      no      138     yes  yes   \n",
       "45195   68        retired   married  secondary      no     1146      no   no   \n",
       "45196   25        student    single  secondary      no      358      no   no   \n",
       "45197   36     management    single  secondary      no     1511     yes   no   \n",
       "45198   37     management   married   tertiary      no     1428      no   no   \n",
       "45199   34    blue-collar    single  secondary      no     1475     yes   no   \n",
       "45200   38     technician   married  secondary      no      557     yes   no   \n",
       "45201   53     management   married   tertiary      no      583      no   no   \n",
       "45202   34         admin.    single  secondary      no      557      no   no   \n",
       "45203   23        student    single   tertiary      no      113      no   no   \n",
       "45204   73        retired   married  secondary      no     2850      no   no   \n",
       "45205   25     technician    single  secondary      no      505      no  yes   \n",
       "45206   51     technician   married   tertiary      no      825      no   no   \n",
       "45207   71        retired  divorced    primary      no     1729      no   no   \n",
       "45208   72        retired   married  secondary      no     5715      no   no   \n",
       "45209   57    blue-collar   married  secondary      no      668      no   no   \n",
       "45210   37   entrepreneur   married  secondary      no     2971      no   no   \n",
       "\n",
       "         y  \n",
       "0       no  \n",
       "1       no  \n",
       "2       no  \n",
       "3       no  \n",
       "4       no  \n",
       "5       no  \n",
       "6       no  \n",
       "7       no  \n",
       "8       no  \n",
       "9       no  \n",
       "10      no  \n",
       "11      no  \n",
       "12      no  \n",
       "13      no  \n",
       "14      no  \n",
       "15      no  \n",
       "16      no  \n",
       "17      no  \n",
       "18      no  \n",
       "19      no  \n",
       "20      no  \n",
       "21      no  \n",
       "22      no  \n",
       "23      no  \n",
       "24      no  \n",
       "25      no  \n",
       "26      no  \n",
       "27      no  \n",
       "28      no  \n",
       "29      no  \n",
       "...    ...  \n",
       "45181   no  \n",
       "45182  yes  \n",
       "45183   no  \n",
       "45184   no  \n",
       "45185  yes  \n",
       "45186   no  \n",
       "45187  yes  \n",
       "45188  yes  \n",
       "45189   no  \n",
       "45190  yes  \n",
       "45191  yes  \n",
       "45192  yes  \n",
       "45193  yes  \n",
       "45194   no  \n",
       "45195  yes  \n",
       "45196  yes  \n",
       "45197  yes  \n",
       "45198   no  \n",
       "45199   no  \n",
       "45200  yes  \n",
       "45201  yes  \n",
       "45202  yes  \n",
       "45203  yes  \n",
       "45204  yes  \n",
       "45205  yes  \n",
       "45206  yes  \n",
       "45207  yes  \n",
       "45208  yes  \n",
       "45209   no  \n",
       "45210   no  \n",
       "\n",
       "[45211 rows x 9 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop([\"contact\",\"day\",\"month\",\"duration\",\"campaign\",\"pdays\",\"previous\",\"poutcome\"],axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = data.loc[:,[\"age\",\"job\",\"marital\",\"education\",\"balance\",\"housing\",\"loan\"]]\n",
    "data2 = data.loc[:,[\"y\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age          0\n",
       "job          0\n",
       "marital      0\n",
       "education    0\n",
       "balance      0\n",
       "housing      0\n",
       "loan         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.apply(lambda x:sum(x.isnull()),axis = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**VISUALIZATION**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['management' 'technician' 'entrepreneur' 'blue-collar' 'unknown'\n",
      " 'retired' 'admin.' 'services' 'self-employed' 'unemployed' 'housemaid'\n",
      " 'student']\n",
      "job\n",
      "admin.           5171\n",
      "blue-collar      9732\n",
      "entrepreneur     1487\n",
      "housemaid        1240\n",
      "management       9458\n",
      "retired          2264\n",
      "self-employed    1579\n",
      "services         4154\n",
      "student           938\n",
      "technician       7597\n",
      "unemployed       1303\n",
      "unknown           288\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "print(data1['job'].unique())\n",
    "print(data1.groupby('job').size())\n",
    "sns.countplot(data1['job'],label=\"count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['married' 'single' 'divorced']\n",
      "marital\n",
      "divorced     5207\n",
      "married     27214\n",
      "single      12790\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(data1['marital'].unique())\n",
    "print(data1.groupby('marital').size())\n",
    "sns.countplot(data1['marital'],label=\"count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['tertiary' 'secondary' 'unknown' 'primary']\n",
      "education\n",
      "primary       6851\n",
      "secondary    23202\n",
      "tertiary     13301\n",
      "unknown       1857\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZUAAAEKCAYAAADaa8itAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAFm1JREFUeJzt3X/UZVV93/H3R8DfIoMMhgDJWDO1QW0ITBAlVQwGwaaCFn9VZVRWJrUaa1c1tWkjijFq1biCURqsI4MaDf5AiSHBkSgqojAoMvxSRkQYITA6VEEbFf32j7MfuAzPM3Md933u3OH9Wuuue86++5y7z5575/OcX/umqpAkqYd7TbsBkqSdh6EiSerGUJEkdWOoSJK6MVQkSd0YKpKkbgwVSVI3hookqRtDRZLUza7TbsBi22uvvWrZsmXTboYkzZSLL774O1W1dFv17nGhsmzZMtatWzftZkjSTEnyrXHqefhLktSNoSJJ6sZQkSR1Y6hIkroxVCRJ3RgqkqRuDBVJUjeGiiSpG0NFktTNPe6Oei2u60569LSbsMP4lVevn3YTpIlzT0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKmbiYVKkv2TfDrJlUkuT/KfW/meSdYmubo9L2nlSXJykg1JLk1y0Mi6Vrb6VydZOVJ+cJL1bZmTk2RS2yNJ2rZJ7qncDvzXqvp14FDgJUkOAF4FnFtVy4Fz2zzA0cDy9lgFnAJDCAEnAo8BDgFOnAuiVmfVyHJHTXB7JEnbMLFQqaobq+rLbfpW4EpgX+AYYE2rtgY4tk0fA5xegy8CeyTZB3gysLaqNlfVLcBa4Kj22u5VdUFVFXD6yLokSVOwKOdUkiwDfhP4EvDQqroRhuAB9m7V9gWuH1lsYyvbWvnGecrne/9VSdYlWbdp06ZfdHMkSQuYeKgkeSDwEeDlVfX9rVWdp6y2o/zuhVWnVtWKqlqxdOnSbTVZkrSdJhoqSXZjCJT3V9VHW/FN7dAV7fnmVr4R2H9k8f2AG7ZRvt885ZKkKZnk1V8B3g1cWVV/PvLSWcDcFVwrgY+PlB/frgI7FPheOzx2DnBkkiXtBP2RwDnttVuTHNre6/iRdUmSpmDXCa77MOD5wPokl7SyPwbeCJyR5ATgOuAZ7bWzgacAG4AfAi8EqKrNSV4HXNTqnVRVm9v0i4HTgPsBf98ekqQpmVioVNXnmf+8B8AR89Qv4CULrGs1sHqe8nXAo36BZkqSOvKOeklSN4aKJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1M3EQiXJ6iQ3J7lspOw1Sb6d5JL2eMrIa/89yYYkX0vy5JHyo1rZhiSvGil/WJIvJbk6yd8kufektkWSNJ5J7qmcBhw1T/nbqurA9jgbIMkBwLOBR7Zl3plklyS7AO8AjgYOAJ7T6gK8qa1rOXALcMIEt0WSNIaJhUpVfRbYPGb1Y4APVtWPquqbwAbgkPbYUFXXVNWPgQ8CxyQJ8DvAh9vya4Bju26AJOnnNo1zKi9Ncmk7PLakle0LXD9SZ2MrW6j8IcD/rarbtyiXJE3RYofKKcDDgQOBG4G3tvLMU7e2o3xeSVYlWZdk3aZNm36+FkuSxraooVJVN1XVT6vqZ8C7GA5vwbCnsf9I1f2AG7ZS/h1gjyS7blG+0PueWlUrqmrF0qVL+2yMJOluFjVUkuwzMvs0YO7KsLOAZye5T5KHAcuBC4GLgOXtSq97M5zMP6uqCvg0cFxbfiXw8cXYBknSwnbddpXtk+QDwOHAXkk2AicChyc5kOFQ1bXAHwBU1eVJzgCuAG4HXlJVP23reSlwDrALsLqqLm9v8d+ADyb5U+ArwLsntS2SpPFMLFSq6jnzFC/4H39VvR54/TzlZwNnz1N+DXcePpMk7QC8o16S1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKmbsUIlybnjlEmS7tm2ekd9kvsC92cYamUJd44OvDvwyxNumyRpxmxrmJY/AF7OECAXc2eofJ/hFxl3Oge/8vRpN2GHcfGbj592EyTNmK2GSlX9BfAXSf6wqt6+SG2SJM2osQaUrKq3J3kcsGx0maryz3pJ0h3GCpUk72X4xcZLgJ+24gIMFUnSHcYd+n4FcED7cSxJkuY17n0qlwG/NMmGSJJm37h7KnsBVyS5EPjRXGFVPXUirZIkzaRxQ+U1k2yEJGnnMO7VX+dNuiGSpNk37tVftzJc7QVwb2A34AdVtfukGiZJmj3j7qk8aHQ+ybHAIRNpkSRpZm3XKMVV9THgdzq3RZI048Y9/PX0kdl7Mdy34j0rkqS7GPfqr383Mn07cC1wTPfWSJJm2rjnVF446YZIkmbfuD/StV+SM5PcnOSmJB9Jst+kGydJmi3jnqh/D3AWw++q7Av8bSuTJOkO44bK0qp6T1Xd3h6nAUsn2C5J0gwaN1S+k+R5SXZpj+cB351kwyRJs2fcUHkR8Ezgn4AbgeMAT95Lku5i3EuKXwesrKpbAJLsCbyFIWwkSQLG31P513OBAlBVm4HfnEyTJEmzatxQuVeSJXMzbU9l3L0cSdI9xLjB8FbgC0k+zDA8yzOB10+sVZKkmTTuHfWnJ1nHMIhkgKdX1RUTbZkkaeaMfQirhYhBIkla0HYNfT+OJKvbsC6XjZTtmWRtkqvb85JWniQnJ9mQ5NIkB40ss7LVvzrJypHyg5Osb8ucnCST2hZJ0ngmFirAacBRW5S9Cji3qpYD57Z5gKOB5e2xCjgF7rgg4ETgMQw/CnbiyAUDp7S6c8tt+V6SpEU2sVCpqs8Cm7coPgZY06bXAMeOlJ9egy8CeyTZB3gysLaqNrdLmtcCR7XXdq+qC6qqgNNH1iVJmpJJ7qnM56FVdSNAe967le8LXD9Sb2Mr21r5xnnKJUlTtNihspD5zofUdpTPv/JkVZJ1SdZt2rRpO5soSdqWxQ6Vm9qhK9rzza18I7D/SL39gBu2Ub7fPOXzqqpTq2pFVa1YutTBlSVpUhY7VM4C5q7gWgl8fKT8+HYV2KHA99rhsXOAI5MsaSfojwTOaa/dmuTQdtXX8SPrkiRNycSGWknyAeBwYK8kGxmu4nojcEaSE4DrgGe06mcDTwE2AD+kjYBcVZuTvA64qNU7qY07BvBihivM7gf8fXtIkqZoYqFSVc9Z4KUj5qlbwEsWWM9qYPU85euAR/0ibZQk9bWjnKiXJO0EDBVJUjeGiiSpG0NFktSNoSJJ6sZQkSR1Y6hIkroxVCRJ3RgqkqRuDBVJUjeGiiSpG0NFktSNoSJJ6sZQkSR1Y6hIkroxVCRJ3RgqkqRuDBVJUjeGiiSpG0NFktSNoSJJ6sZQkSR1Y6hIkrrZddoNkKRpOO/xT5h2E3YYT/jsed3W5Z6KJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1I2hIknqxlCRJHUzlVBJcm2S9UkuSbKule2ZZG2Sq9vzklaeJCcn2ZDk0iQHjaxnZat/dZKV09gWSdKdprmn8sSqOrCqVrT5VwHnVtVy4Nw2D3A0sLw9VgGnwBBCwInAY4BDgBPngkiSNB070uGvY4A1bXoNcOxI+ek1+CKwR5J9gCcDa6tqc1XdAqwFjlrsRkuS7jStUCngk0kuTrKqlT20qm4EaM97t/J9getHlt3YyhYqv5skq5KsS7Ju06ZNHTdDkjRqWj/SdVhV3ZBkb2Btkqu2UjfzlNVWyu9eWHUqcCrAihUr5q0jSfrFTWVPpapuaM83A2cynBO5qR3Woj3f3KpvBPYfWXw/4IatlEuSpmTRQyXJA5I8aG4aOBK4DDgLmLuCayXw8TZ9FnB8uwrsUOB77fDYOcCRSZa0E/RHtjJJ0pRM4/DXQ4Ezk8y9/19X1T8kuQg4I8kJwHXAM1r9s4GnABuAHwIvBKiqzUleB1zU6p1UVZsXbzMkSVta9FCpqmuA35in/LvAEfOUF/CSBda1Gljdu42SpO2zI11SLEmacYaKJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1I2hIknqxlCRJHVjqEiSutl12g2QNJ7D3n7YtJuwwzj/D8+fdhO0APdUJEndGCqSpG4MFUlSN4aKJKkbQ0WS1I2hIknqxlCRJHVjqEiSujFUJEndGCqSpG4MFUlSN4aKJKmbmQ+VJEcl+VqSDUleNe32SNI92UyHSpJdgHcARwMHAM9JcsB0WyVJ91wzHSrAIcCGqrqmqn4MfBA4ZsptkqR7rFkPlX2B60fmN7YySdIUzPqPdGWesrpbpWQVsKrN3pbkaxNtVR97Ad+ZZgPylpXTfPuept6XAJw438d1Jk29P/OynaYvYQfoTzJWf/7qOJVmPVQ2AvuPzO8H3LBlpao6FTh1sRrVQ5J1VbVi2u3YGdiXfdmffe1s/Tnrh78uApYneViSewPPBs6acpsk6R5rpvdUqur2JC8FzgF2AVZX1eVTbpYk3WPNdKgAVNXZwNnTbscEzNThuh2cfdmX/dnXTtWfqbrbeW1JkrbLrJ9TkSTtQAyVjpLskeQ/bcdyf7zF/Bf6tUpbk+TwJJ+Ydjt2BElekOQvp92OnUmSk5I8adrtWEyGSl97AGOHSgb3Au4SKlX1uO1YhxZBkpk/D6nFkWSXqnp1VX2q83p36O/8DtuwGfVG4OFJLkny5iSvTHJRkkuTvBYgybIkVyZ5J/Bl4N3A/doy7291bmvPD0xybpIvJ1mf5JgF1vEnSd4214gkv5/kzxd307dPkgck+bskX01yWZJnJTk4yXlJLk5yTpJ9Wt1fS/KpVvfLSR7evmBvbsuuT/KsVvfwJJ9J8uEkVyV5fzLc4dUGIb0qyeeBp4+05ZAkX0jylfb8iFb+giQfSvK3wCeTvHfu36K9/v4kT13MfhtH+5xcNjL/iiSvaf3ypiQXJvl6kn8zz7L/NskFSfZKclqSk1ufXJPkuFZnob5/51x/JDkzyeo2fUKSPx35/L4ryeVJPpnkfovTK320bbgqyZr2/f5wkvsnuTbJq9tn6xmt7+b669okf9b6dV2Sg9rn+xtJ/mOrM/vf+ary0ekBLAMua9NHMlzVEYbw/gTw+FbnZ8ChI8vdtsV6bmvPuwK7t+m9gA1tfXdZB/AA4BvAbm3+C8Cjp90fY/bZvwfeNTL/4Nb+pW3+WQyXigN8CXham74vcP+2/FqGS8ofClwH7AMcDnyP4YbYewEXAL/dlrseWN768gzgE22duwO7tuknAR9p0y9guNF2zzb/BOBjI+395txyO9Jj9PPY5l8BvAb4DPDWVvYU4FMj2/mXwNOAzwFLWvlpwIdaPx7AMN7e3L/dfH3/bODNrc6FwBfb9HuAJ7d23Q4c2MrPAJ437f7ajr4t4LA2v7r177XAH43UOw04rk1fC7y4Tb8NuBR4ELAUuLmVz/x33l35yTmyPb7S5h/I8B/ZdcC3quqLY6wjwJ8leTzDB2pfhi8vo+uoqh8k+Ufg95JcyfBBW99vUyZqPfCWJG9iCN5bgEcBa9uOxS7AjUkeBOxbVWcCVNU/AyT5beADVfVT4KYk5wG/BXwfuLCqNrZ6lzB8MW8DvllVV7fy93HnED4PBtYkWc7wH8ZuI+1cW1Wb23ufl+QdSfZm2NP5SFXd3r9rJuqj7flihn6Z80RgBXBkVX1/pPxjVfUz4Iokc5/Bhfr+c8DLM4wYfgWwpO1tPhZ4GfAQhn+DSxZow6y4vqrOb9PvY9g2gL/ZyjJzN2evBx5YVbcCtyb55yR7AD9gxr/zhsrkBHhDVf3VXQqTZQwfnHE8l+GvmIOr6idJrmX4S5t51vF/GM7NXMXwF+FMqKqvJzmY4S/mNzD85Xt5VT12tF6S3RdYxdYGLfrRyPRPufPzvtB19K8DPl1VT2v/Tp8ZeW3L/n4vw7/Ps4EXbaUN03Q7dz3Efd+R6bm+Ge0XgGuAfwH8S2DdPPXhzj6ft++r6ttJlgBHAZ8F9gSeybAHfmuSh3D3f5uZOvzVbPk5mpvf2vd7brt/xl374GcM/w4z/533nEpftzLszsJwl/+LkjwQIMm+7S/b+fwkyW7zlD+YYbf4J0meyFYGdKuqLzGMg/YfgA9s7wYstiS/DPywqt4HvAV4DLA0yWPb67sleWT7q3ljkmNb+X2S3J/hP61nJdklyVKGQ4wXbuUtrwIeluThbf45I689GPh2m37BNpp+GvBygNpxR3G4Cdg7yUOS3Af4vTGW+RbD3tfpSR65jbpb6/sLGPrnswx7Lq9ozzuTX5n7nDJ8jj7fYZ0z/503VDqqqu8C57eTo78L/DVwQZL1wIe5M3C2dCpwadqJ+hHvB1YkWcfwF8xV22jCGcD5VXXL9m7DFDwauLAdnvofwKuB44A3JfkqcAkwdzXc84GXJbmU4RjyLwFnMhyb/irwjwzHs/9poTdrh81WAX/XTqZ+a+Tl/wW8Icn5DIfdFlRVNwFXsgP9hbilqvoJcBLDuahPsO3Pz9xyX2P4vH1oJHzns7W+/xzDeaYNDCeW92TnC5UrgZXt87gncEqHdc78d9476nciGe63eFtVnTvttuzs2l7SeuCgqvretNujxdUOj36iqh415XbscN9591R2Ahluuvw68P92pA/XzirDzWxXAW83UDQNO/J33j0VSVI37qlIkroxVCRJ3RgqkqRuDBWpo0xgpN8kx7a70+fm73Ej32p2GCrSju9YhjG3AKgJjHwr9WKoSD+HJM/LMLrvJUn+qt1N/sIMo/2eBxw2UveOEWrb/G0j03/URqH9apI3trLfzzCq9VeTfKSNevs44KnAm9t7PnyLkW+PyDCq8vokq9ud83Mj4r52ZLTbf7VIXaR7OENFGlOSX2cYNfmwqjqQYcyq5wGvZQiT32Vkj2Ir6zmaYe/jMVX1Gwx38gN8tKp+q5VdCZxQVV9gGITwlVV1YFV9Y2Q992UYLuZZVfVohrGjXjzyVt+pqoMY7vR+xfZvuTQ+Q0Ua3xHAwcBFbViZI4D/AnymqjZV1Y/Z+gi1c54EvKeqfggwN/ox8Kgkn2vD+jwX2NbYW49gGO33621+DcP4W3MWGolYmhhDRRpfgDVtj+HAqnoEw++TLHQH8R2jBGcYx//eI+uZb5nTgJe2vY7XctdRhRdqz9YsNBKxNDGGijS+c4Hj5kabTrInw+/lHN5GAt4NeMZI/WsZ9mwAjuHO32f5JMMI1vcfWQ8MA47e2Nbz3JH1jI5+PeoqYFmSX2vzzwfO2/7Nk35xhoo0pqq6AvifDD8pfCnDb7/sw7C3cgHwKYYReee8C3hCkgsZhvT/QVvPPzCcJ1nXDqPNne/4E4YRhddy19FpPwi8sp2Qv2PU4Dbi8gsZRhNez/CbHP+75zZLPy/H/pIkdeOeiiSpG0NFktSNoSJJ6sZQkSR1Y6hIkroxVCRJ3RgqkqRuDBVJUjf/Hz0eSPsxrnbNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(data1['education'].unique())\n",
    "print(data1.groupby('education').size())\n",
    "sns.countplot(data1['education'],label=\"count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['yes' 'no']\n",
      "housing\n",
      "no     20081\n",
      "yes    25130\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(data1['housing'].unique())\n",
    "print(data1.groupby('housing').size())\n",
    "sns.countplot(data1['housing'],label=\"count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['no' 'yes']\n",
      "loan\n",
      "no     37967\n",
      "yes     7244\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(data1['loan'].unique())\n",
    "print(data1.groupby('loan').size())\n",
    "sns.countplot(data1['loan'],label=\"count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**ENCODING THE CATEGORICAL DATA**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\RamyaV\\Anaconda3\\lib\\site-packages\\sklearn\\preprocessing\\label.py:111: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    },
    {
     "data": {
      "text/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>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>balance</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>58</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>2143</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>29</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>33</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>47</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>1506</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33</td>\n",
       "      <td>unknown</td>\n",
       "      <td>single</td>\n",
       "      <td>unknown</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>35</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>231</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>28</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>447</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>42</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>divorced</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>58</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>121</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>43</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>593</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>41</td>\n",
       "      <td>admin.</td>\n",
       "      <td>divorced</td>\n",
       "      <td>secondary</td>\n",
       "      <td>270</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>29</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>390</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>53</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>6</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>58</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>71</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>57</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>162</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>51</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>229</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>45</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>unknown</td>\n",
       "      <td>13</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>57</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>52</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>60</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>60</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>33</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>28</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>723</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>56</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>779</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>32</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>single</td>\n",
       "      <td>primary</td>\n",
       "      <td>23</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>25</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>50</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>40</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>44</td>\n",
       "      <td>admin.</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>-372</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>39</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>255</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>52</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>113</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>46</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>-246</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>36</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>265</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45181</th>\n",
       "      <td>46</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>6879</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45182</th>\n",
       "      <td>34</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>133</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45183</th>\n",
       "      <td>70</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>324</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45184</th>\n",
       "      <td>63</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1495</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45185</th>\n",
       "      <td>60</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>4256</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45186</th>\n",
       "      <td>59</td>\n",
       "      <td>unknown</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>1500</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45187</th>\n",
       "      <td>32</td>\n",
       "      <td>services</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1168</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45188</th>\n",
       "      <td>29</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>703</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45189</th>\n",
       "      <td>25</td>\n",
       "      <td>services</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>199</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45190</th>\n",
       "      <td>32</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>136</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45191</th>\n",
       "      <td>75</td>\n",
       "      <td>retired</td>\n",
       "      <td>divorced</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>3810</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45192</th>\n",
       "      <td>29</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>765</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45193</th>\n",
       "      <td>28</td>\n",
       "      <td>self-employed</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>159</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45194</th>\n",
       "      <td>59</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>138</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45195</th>\n",
       "      <td>68</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1146</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45196</th>\n",
       "      <td>25</td>\n",
       "      <td>student</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>358</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45197</th>\n",
       "      <td>36</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1511</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45198</th>\n",
       "      <td>37</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>1428</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45199</th>\n",
       "      <td>34</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1475</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45200</th>\n",
       "      <td>38</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>557</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45201</th>\n",
       "      <td>53</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>583</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45202</th>\n",
       "      <td>34</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>557</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45203</th>\n",
       "      <td>23</td>\n",
       "      <td>student</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>113</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45204</th>\n",
       "      <td>73</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>2850</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45205</th>\n",
       "      <td>25</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>505</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45206</th>\n",
       "      <td>51</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>825</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45207</th>\n",
       "      <td>71</td>\n",
       "      <td>retired</td>\n",
       "      <td>divorced</td>\n",
       "      <td>primary</td>\n",
       "      <td>1729</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45208</th>\n",
       "      <td>72</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>5715</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45209</th>\n",
       "      <td>57</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>668</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45210</th>\n",
       "      <td>37</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>2971</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45211 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age            job   marital  education  balance housing loan  0\n",
       "0       58     management   married   tertiary     2143     yes   no  0\n",
       "1       44     technician    single  secondary       29     yes   no  0\n",
       "2       33   entrepreneur   married  secondary        2     yes  yes  0\n",
       "3       47    blue-collar   married    unknown     1506     yes   no  0\n",
       "4       33        unknown    single    unknown        1      no   no  0\n",
       "5       35     management   married   tertiary      231     yes   no  0\n",
       "6       28     management    single   tertiary      447     yes  yes  0\n",
       "7       42   entrepreneur  divorced   tertiary        2     yes   no  0\n",
       "8       58        retired   married    primary      121     yes   no  0\n",
       "9       43     technician    single  secondary      593     yes   no  0\n",
       "10      41         admin.  divorced  secondary      270     yes   no  0\n",
       "11      29         admin.    single  secondary      390     yes   no  0\n",
       "12      53     technician   married  secondary        6     yes   no  0\n",
       "13      58     technician   married    unknown       71     yes   no  0\n",
       "14      57       services   married  secondary      162     yes   no  0\n",
       "15      51        retired   married    primary      229     yes   no  0\n",
       "16      45         admin.    single    unknown       13     yes   no  0\n",
       "17      57    blue-collar   married    primary       52     yes   no  0\n",
       "18      60        retired   married    primary       60     yes   no  0\n",
       "19      33       services   married  secondary        0     yes   no  0\n",
       "20      28    blue-collar   married  secondary      723     yes  yes  0\n",
       "21      56     management   married   tertiary      779     yes   no  0\n",
       "22      32    blue-collar    single    primary       23     yes  yes  0\n",
       "23      25       services   married  secondary       50     yes   no  0\n",
       "24      40        retired   married    primary        0     yes  yes  0\n",
       "25      44         admin.   married  secondary     -372     yes   no  0\n",
       "26      39     management    single   tertiary      255     yes   no  0\n",
       "27      52   entrepreneur   married  secondary      113     yes  yes  0\n",
       "28      46     management    single  secondary     -246     yes   no  0\n",
       "29      36     technician    single  secondary      265     yes  yes  0\n",
       "...    ...            ...       ...        ...      ...     ...  ... ..\n",
       "45181   46    blue-collar   married  secondary     6879      no   no  0\n",
       "45182   34     technician   married  secondary      133      no   no  1\n",
       "45183   70        retired   married    primary      324      no   no  0\n",
       "45184   63        retired   married  secondary     1495      no   no  0\n",
       "45185   60       services   married   tertiary     4256     yes   no  1\n",
       "45186   59        unknown   married    unknown     1500      no   no  0\n",
       "45187   32       services    single  secondary     1168     yes   no  1\n",
       "45188   29     management    single  secondary      703     yes   no  1\n",
       "45189   25       services    single  secondary      199      no   no  0\n",
       "45190   32    blue-collar   married  secondary      136      no   no  1\n",
       "45191   75        retired  divorced   tertiary     3810     yes   no  1\n",
       "45192   29     management    single   tertiary      765      no   no  1\n",
       "45193   28  self-employed    single   tertiary      159      no   no  1\n",
       "45194   59     management   married   tertiary      138     yes  yes  0\n",
       "45195   68        retired   married  secondary     1146      no   no  1\n",
       "45196   25        student    single  secondary      358      no   no  1\n",
       "45197   36     management    single  secondary     1511     yes   no  1\n",
       "45198   37     management   married   tertiary     1428      no   no  0\n",
       "45199   34    blue-collar    single  secondary     1475     yes   no  0\n",
       "45200   38     technician   married  secondary      557     yes   no  1\n",
       "45201   53     management   married   tertiary      583      no   no  1\n",
       "45202   34         admin.    single  secondary      557      no   no  1\n",
       "45203   23        student    single   tertiary      113      no   no  1\n",
       "45204   73        retired   married  secondary     2850      no   no  1\n",
       "45205   25     technician    single  secondary      505      no  yes  1\n",
       "45206   51     technician   married   tertiary      825      no   no  1\n",
       "45207   71        retired  divorced    primary     1729      no   no  1\n",
       "45208   72        retired   married  secondary     5715      no   no  1\n",
       "45209   57    blue-collar   married  secondary      668      no   no  0\n",
       "45210   37   entrepreneur   married  secondary     2971      no   no  0\n",
       "\n",
       "[45211 rows x 8 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "le = LabelEncoder()\n",
    "numodata = pd.DataFrame(le.fit_transform(data2))\n",
    "data1 = data1.join(numodata)\n",
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1.columns = [\"age\",\"job\",\"marital\",\"education\",\"balance\",\"housing\",\"loan\",\"result\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>balance</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>58</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>2143</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>29</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>33</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>47</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>1506</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33</td>\n",
       "      <td>unknown</td>\n",
       "      <td>single</td>\n",
       "      <td>unknown</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>35</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>231</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>28</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>447</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>42</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>divorced</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>58</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>121</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>43</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>593</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>41</td>\n",
       "      <td>admin.</td>\n",
       "      <td>divorced</td>\n",
       "      <td>secondary</td>\n",
       "      <td>270</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>29</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>390</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>53</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>6</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>58</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>71</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>57</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>162</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>51</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>229</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>45</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>unknown</td>\n",
       "      <td>13</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>57</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>52</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>60</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>60</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>33</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>28</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>723</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>56</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>779</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>32</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>single</td>\n",
       "      <td>primary</td>\n",
       "      <td>23</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>25</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>50</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>40</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>44</td>\n",
       "      <td>admin.</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>-372</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>39</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>255</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>52</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>113</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>46</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>-246</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>36</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>265</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45181</th>\n",
       "      <td>46</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>6879</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45182</th>\n",
       "      <td>34</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>133</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45183</th>\n",
       "      <td>70</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>324</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45184</th>\n",
       "      <td>63</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1495</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45185</th>\n",
       "      <td>60</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>4256</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45186</th>\n",
       "      <td>59</td>\n",
       "      <td>unknown</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>1500</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45187</th>\n",
       "      <td>32</td>\n",
       "      <td>services</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1168</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45188</th>\n",
       "      <td>29</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>703</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45189</th>\n",
       "      <td>25</td>\n",
       "      <td>services</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>199</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45190</th>\n",
       "      <td>32</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>136</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45191</th>\n",
       "      <td>75</td>\n",
       "      <td>retired</td>\n",
       "      <td>divorced</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>3810</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45192</th>\n",
       "      <td>29</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>765</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45193</th>\n",
       "      <td>28</td>\n",
       "      <td>self-employed</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>159</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45194</th>\n",
       "      <td>59</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>138</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45195</th>\n",
       "      <td>68</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1146</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45196</th>\n",
       "      <td>25</td>\n",
       "      <td>student</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>358</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45197</th>\n",
       "      <td>36</td>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1511</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45198</th>\n",
       "      <td>37</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>1428</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45199</th>\n",
       "      <td>34</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>1475</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45200</th>\n",
       "      <td>38</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>557</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45201</th>\n",
       "      <td>53</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>583</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45202</th>\n",
       "      <td>34</td>\n",
       "      <td>admin.</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>557</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45203</th>\n",
       "      <td>23</td>\n",
       "      <td>student</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>113</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45204</th>\n",
       "      <td>73</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>2850</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45205</th>\n",
       "      <td>25</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>505</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45206</th>\n",
       "      <td>51</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>825</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45207</th>\n",
       "      <td>71</td>\n",
       "      <td>retired</td>\n",
       "      <td>divorced</td>\n",
       "      <td>primary</td>\n",
       "      <td>1729</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45208</th>\n",
       "      <td>72</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>5715</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45209</th>\n",
       "      <td>57</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>668</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45210</th>\n",
       "      <td>37</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>2971</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45211 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       age            job   marital  education  balance housing loan  result\n",
       "0       58     management   married   tertiary     2143     yes   no       0\n",
       "1       44     technician    single  secondary       29     yes   no       0\n",
       "2       33   entrepreneur   married  secondary        2     yes  yes       0\n",
       "3       47    blue-collar   married    unknown     1506     yes   no       0\n",
       "4       33        unknown    single    unknown        1      no   no       0\n",
       "5       35     management   married   tertiary      231     yes   no       0\n",
       "6       28     management    single   tertiary      447     yes  yes       0\n",
       "7       42   entrepreneur  divorced   tertiary        2     yes   no       0\n",
       "8       58        retired   married    primary      121     yes   no       0\n",
       "9       43     technician    single  secondary      593     yes   no       0\n",
       "10      41         admin.  divorced  secondary      270     yes   no       0\n",
       "11      29         admin.    single  secondary      390     yes   no       0\n",
       "12      53     technician   married  secondary        6     yes   no       0\n",
       "13      58     technician   married    unknown       71     yes   no       0\n",
       "14      57       services   married  secondary      162     yes   no       0\n",
       "15      51        retired   married    primary      229     yes   no       0\n",
       "16      45         admin.    single    unknown       13     yes   no       0\n",
       "17      57    blue-collar   married    primary       52     yes   no       0\n",
       "18      60        retired   married    primary       60     yes   no       0\n",
       "19      33       services   married  secondary        0     yes   no       0\n",
       "20      28    blue-collar   married  secondary      723     yes  yes       0\n",
       "21      56     management   married   tertiary      779     yes   no       0\n",
       "22      32    blue-collar    single    primary       23     yes  yes       0\n",
       "23      25       services   married  secondary       50     yes   no       0\n",
       "24      40        retired   married    primary        0     yes  yes       0\n",
       "25      44         admin.   married  secondary     -372     yes   no       0\n",
       "26      39     management    single   tertiary      255     yes   no       0\n",
       "27      52   entrepreneur   married  secondary      113     yes  yes       0\n",
       "28      46     management    single  secondary     -246     yes   no       0\n",
       "29      36     technician    single  secondary      265     yes  yes       0\n",
       "...    ...            ...       ...        ...      ...     ...  ...     ...\n",
       "45181   46    blue-collar   married  secondary     6879      no   no       0\n",
       "45182   34     technician   married  secondary      133      no   no       1\n",
       "45183   70        retired   married    primary      324      no   no       0\n",
       "45184   63        retired   married  secondary     1495      no   no       0\n",
       "45185   60       services   married   tertiary     4256     yes   no       1\n",
       "45186   59        unknown   married    unknown     1500      no   no       0\n",
       "45187   32       services    single  secondary     1168     yes   no       1\n",
       "45188   29     management    single  secondary      703     yes   no       1\n",
       "45189   25       services    single  secondary      199      no   no       0\n",
       "45190   32    blue-collar   married  secondary      136      no   no       1\n",
       "45191   75        retired  divorced   tertiary     3810     yes   no       1\n",
       "45192   29     management    single   tertiary      765      no   no       1\n",
       "45193   28  self-employed    single   tertiary      159      no   no       1\n",
       "45194   59     management   married   tertiary      138     yes  yes       0\n",
       "45195   68        retired   married  secondary     1146      no   no       1\n",
       "45196   25        student    single  secondary      358      no   no       1\n",
       "45197   36     management    single  secondary     1511     yes   no       1\n",
       "45198   37     management   married   tertiary     1428      no   no       0\n",
       "45199   34    blue-collar    single  secondary     1475     yes   no       0\n",
       "45200   38     technician   married  secondary      557     yes   no       1\n",
       "45201   53     management   married   tertiary      583      no   no       1\n",
       "45202   34         admin.    single  secondary      557      no   no       1\n",
       "45203   23        student    single   tertiary      113      no   no       1\n",
       "45204   73        retired   married  secondary     2850      no   no       1\n",
       "45205   25     technician    single  secondary      505      no  yes       1\n",
       "45206   51     technician   married   tertiary      825      no   no       1\n",
       "45207   71        retired  divorced    primary     1729      no   no       1\n",
       "45208   72        retired   married  secondary     5715      no   no       1\n",
       "45209   57    blue-collar   married  secondary      668      no   no       0\n",
       "45210   37   entrepreneur   married  secondary     2971      no   no       0\n",
       "\n",
       "[45211 rows x 8 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = data1.boxplot(column = \"age\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b055529b0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1.boxplot(column = \"balance\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b039e2940>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1['age'].hist(bins=70)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b03a5bda0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAD8CAYAAACcjGjIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAGhRJREFUeJzt3X+MXeV95/H3pzYGL2liA2Hk2tbaUUerOLFqyAicZbW6C1ljk6qmEkhmUW0Tr6abNdpkd7pl3P5BA0GCVQkRWkLjFhcTJRiXJIsFZr0W4aqKFAymOBhjXE+MN57YxWVtCJOopEO/+8d5hh783Dv3zp0fd+7weUlX95zvec45z3NP4g/nx52riMDMzKzs19rdATMzm34cDmZmlnE4mJlZxuFgZmYZh4OZmWUcDmZmlnE4mJlZxuFgZmYZh4OZmWVmt7sDrbrkkktiyZIl7e7GB/ziF7/gwgsvbHc3JsVMHhvM7PF5bJ1pssb24osvvhkRH2/UrmPDYcmSJezfv7/d3fiAarVKpVJpdzcmxUweG8zs8XlsnWmyxibp/zbTzpeVzMws43AwM7OMw8HMzDJNh4OkWZJekvRkml8qaZ+ko5IekzQn1c9P8wNp+ZLSNrak+hFJ15bqq1NtQFL/xA3PzMxaMZYzhy8Bh0vz9wD3RUQ3cBbYlOqbgLMR8ZvAfakdkpYB64BPAauBb6TAmQU8AKwBlgE3pbZmZtYmTYWDpEXA54G/SPMCrgYeT022A9en6bVpnrT8mtR+LbAjIt6NiNeBAeCK9BqIiGMR8StgR2prZmZt0uyZw9eBPwT+Kc1fDLwVEcNpfhBYmKYXAicA0vK3U/v36+esU69uZmZt0vB7DpJ+GzgdES9KqoyUazSNBsvq1WsFVM3fLpXUC/QCdHV1Ua1W63e8DYaGhqZdnybKTB4bzOzxeWydqd1ja+ZLcFcBvyPpOuAC4KMUZxLzJM1OZweLgJOp/SCwGBiUNBv4GHCmVB9RXqde/QMiYiuwFaCnpyem25df/IWczjWTx+exdaZ2j61hOETEFmALQDpz+IOIuFnSXwE3UNwj2AA8kVbZleZ/lJb/ICJC0i7gO5K+BvwG0A08T3FG0S1pKfAzipvW/2HCRljDkv6nJmW7fcuH2TjKto/f/flJ2a+Z2UQbz5/PuA3YIemrwEvAQ6n+EPAtSQMUZwzrACLikKSdwKvAMLA5It4DkHQrsAeYBWyLiEPj6JeZmY3TmMIhIqpANU0fo3jS6Nw2/wDcWGf9u4C7atR3A7vH0hczM5s8/oa0mZllHA5mZpZxOJiZWcbhYGZmGYeDmZllHA5mZpZxOJiZWcbhYGZmGYeDmZllHA5mZpZxOJiZWcbhYGZmGYeDmZllHA5mZpZxOJiZWcbhYGZmGYeDmZllGoaDpAskPS/px5IOSfpKqj8s6XVJB9JrRapL0v2SBiS9LOny0rY2SDqaXhtK9c9IOpjWuV+SJmOwZmbWnGZ+JvRd4OqIGJJ0HvBDSU+nZf89Ih4/p/0aoDu9rgQeBK6UdBFwO9ADBPCipF0RcTa16QWeo/i50NXA05iZWVs0PHOIwlCaPS+9YpRV1gKPpPWeA+ZJWgBcC+yNiDMpEPYCq9Oyj0bEjyIigEeA68cxJjMzG6em7jlImiXpAHCa4h/4fWnRXenS0X2Szk+1hcCJ0uqDqTZafbBG3czM2qSZy0pExHvACknzgO9L+jSwBfg7YA6wFbgNuAOodb8gWqhnJPVSXH6iq6uLarXaTPczfcuHW1qvka65o2+71f5OB0NDQx3d/0Zm8vg8ts7U7rE1FQ4jIuItSVVgdUT8aSq/K+kvgT9I84PA4tJqi4CTqV45p15N9UU12tfa/1aKIKKnpycqlUqtZg1t7H+qpfUa6Vs+zL0H63+kx2+uTMp+p0K1WqXVz7sTzOTxeWydqd1ja+ZppY+nMwYkzQU+B7yW7hWQniy6HnglrbILWJ+eWloJvB0Rp4A9wCpJ8yXNB1YBe9KydyStTNtaDzwxscM0M7OxaObMYQGwXdIsijDZGRFPSvqBpI9TXBY6APyn1H43cB0wAPwSuAUgIs5IuhN4IbW7IyLOpOkvAg8DcymeUvKTSmZmbdQwHCLiZeCyGvWr67QPYHOdZduAbTXq+4FPN+qLmZlNDX9D2szMMg4HMzPLOBzMzCzjcDAzs4zDwczMMg4HMzPLOBzMzCzjcDAzs4zDwczMMg4HMzPLOBzMzCzjcDAzs4zDwczMMg4HMzPLOBzMzCzjcDAzs4zDwczMMs38hvQFkp6X9GNJhyR9JdWXSton6aikxyTNSfXz0/xAWr6ktK0tqX5E0rWl+upUG5DUP/HDNDOzsWjmzOFd4OqI+C1gBbBa0krgHuC+iOgGzgKbUvtNwNmI+E3gvtQOScuAdcCngNXANyTNSr9N/QCwBlgG3JTamplZmzQMhygMpdnz0iuAq4HHU307cH2aXpvmScuvkaRU3xER70bE68AAcEV6DUTEsYj4FbAjtTUzszZp6p5D+i/8A8BpYC/wE+CtiBhOTQaBhWl6IXACIC1/G7i4XD9nnXp1MzNrk9nNNIqI94AVkuYB3wc+WatZeledZfXqtQIqatSQ1Av0AnR1dVGtVkfveB19y4cbN2pB19zRt91qf6eDoaGhju5/IzN5fB5bZ2r32JoKhxER8ZakKrASmCdpdjo7WAScTM0GgcXAoKTZwMeAM6X6iPI69ern7n8rsBWgp6cnKpXKWLr/vo39T7W0XiN9y4e592D9j/T4zZVJ2e9UqFartPp5d4KZPD6PrTO1e2zNPK308XTGgKS5wOeAw8CzwA2p2QbgiTS9K82Tlv8gIiLV16WnmZYC3cDzwAtAd3r6aQ7FTetdEzE4MzNrTTNnDguA7empol8DdkbEk5JeBXZI+irwEvBQav8Q8C1JAxRnDOsAIuKQpJ3Aq8AwsDldrkLSrcAeYBawLSIOTdgIzcxszBqGQ0S8DFxWo36M4kmjc+v/ANxYZ1t3AXfVqO8GdjfRXzMzmwL+hrSZmWUcDmZmlnE4mJlZxuFgZmYZh4OZmWUcDmZmlnE4mJlZxuFgZmYZh4OZmWUcDmZmlnE4mJlZxuFgZmYZh4OZmWUcDmZmlnE4mJlZxuFgZmYZh4OZmWWa+Q3pxZKelXRY0iFJX0r1P5H0M0kH0uu60jpbJA1IOiLp2lJ9daoNSOov1ZdK2ifpqKTH0m9Jm5lZmzRz5jAM9EXEJ4GVwGZJy9Ky+yJiRXrtBkjL1gGfAlYD35A0K/0G9QPAGmAZcFNpO/ekbXUDZ4FNEzQ+MzNrQcNwiIhTEfE3afod4DCwcJRV1gI7IuLdiHgdGKD4rekrgIGIOBYRvwJ2AGslCbgaeDytvx24vtUBmZnZ+I3pnoOkJcBlwL5UulXSy5K2SZqfaguBE6XVBlOtXv1i4K2IGD6nbmZmbTK72YaSPgJ8F/hyRPxc0oPAnUCk93uBLwCqsXpQO4hilPa1+tAL9AJ0dXVRrVab7f4H9C0fbtyoBV1zR992q/2dDoaGhjq6/43M5PF5bJ2p3WNrKhwknUcRDN+OiO8BRMQbpeV/DjyZZgeBxaXVFwEn03St+pvAPEmz09lDuf0HRMRWYCtAT09PVCqVZrqf2dj/VEvrNdK3fJh7D9b/SI/fXJmU/U6FarVKq593J5jJ4/PYOlO7x9bM00oCHgIOR8TXSvUFpWa/C7ySpncB6ySdL2kp0A08D7wAdKcnk+ZQ3LTeFREBPAvckNbfADwxvmGZmdl4NHPmcBXwe8BBSQdS7Y8onjZaQXEJ6Djw+wARcUjSTuBViiedNkfEewCSbgX2ALOAbRFxKG3vNmCHpK8CL1GEkZmZtUnDcIiIH1L7vsDuUda5C7irRn13rfUi4hjF00xmZjYN+BvSZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVmmYThIWizpWUmHJR2S9KVUv0jSXklH0/v8VJek+yUNSHpZ0uWlbW1I7Y9K2lCqf0bSwbTO/ZJq/SypmZlNkWbOHIaBvoj4JLAS2CxpGdAPPBMR3cAzaR5gDdCdXr3Ag1CECXA7cCXF70XfPhIoqU1vab3V4x+amZm1qmE4RMSpiPibNP0OcBhYCKwFtqdm24Hr0/Ra4JEoPAfMk7QAuBbYGxFnIuIssBdYnZZ9NCJ+FBEBPFLalpmZtcHssTSWtAS4DNgHdEXEKSgCRNKlqdlC4ERptcFUG60+WKNea/+9FGcYdHV1Ua1Wx9L99/UtH25pvUa65o6+7Vb7Ox0MDQ11dP8bmcnj89g6U7vH1nQ4SPoI8F3gyxHx81FuC9RaEC3U82LEVmArQE9PT1QqlQa9rm1j/1MtrddI3/Jh7j1Y/yM9fnNlUvY7FarVKq1+3p1gJo/PY+tM7R5bU08rSTqPIhi+HRHfS+U30iUh0vvpVB8EFpdWXwScbFBfVKNuZmZt0szTSgIeAg5HxNdKi3YBI08cbQCeKNXXp6eWVgJvp8tPe4BVkuanG9GrgD1p2TuSVqZ9rS9ty8zM2qCZy0pXAb8HHJR0INX+CLgb2ClpE/BT4Ma0bDdwHTAA/BK4BSAizki6E3ghtbsjIs6k6S8CDwNzgafTy8zM2qRhOETED6l9XwDgmhrtA9hcZ1vbgG016vuBTzfqi5mZTQ1/Q9rMzDIOBzMzyzgczMws43AwM7OMw8HMzDIOBzMzyzgczMws43AwM7OMw8HMzDIOBzMzyzgczMws43AwM7OMw8HMzDIOBzMzyzgczMws43AwM7OMw8HMzDLN/Ib0NkmnJb1Sqv2JpJ9JOpBe15WWbZE0IOmIpGtL9dWpNiCpv1RfKmmfpKOSHpM0ZyIHaGZmY9fMmcPDwOoa9fsiYkV67QaQtAxYB3wqrfMNSbMkzQIeANYAy4CbUluAe9K2uoGzwKbxDMjMzMavYThExF8DZ5rc3lpgR0S8GxGvAwPAFek1EBHHIuJXwA5grSQBVwOPp/W3A9ePcQxmZjbBZo9j3VslrQf2A30RcRZYCDxXajOYagAnzqlfCVwMvBURwzXaZyT1Ar0AXV1dVKvVljret3y4caMWdM0dfdut9nc6GBoa6uj+NzKTx+exdaZ2j63VcHgQuBOI9H4v8AVANdoGtc9QYpT2NUXEVmArQE9PT1QqlTF1esTG/qdaWq+RvuXD3Huw/kd6/ObKpOx3KlSrVVr9vDvBTB6fx9aZ2j22lsIhIt4YmZb058CTaXYQWFxqugg4maZr1d8E5kmanc4eyu3NzKxNWnqUVdKC0uzvAiNPMu0C1kk6X9JSoBt4HngB6E5PJs2huGm9KyICeBa4Ia2/AXiilT6ZmdnEaXjmIOlRoAJcImkQuB2oSFpBcQnoOPD7ABFxSNJO4FVgGNgcEe+l7dwK7AFmAdsi4lDaxW3ADklfBV4CHpqw0ZmZWUsahkNE3FSjXPcf8Ii4C7irRn03sLtG/RjF00xmZjZN+BvSZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWaRgOkrZJOi3plVLtIkl7JR1N7/NTXZLulzQg6WVJl5fW2ZDaH5W0oVT/jKSDaZ37JWmiB2lmZmPTzJnDw8Dqc2r9wDMR0Q08k+YB1gDd6dULPAhFmFD89vSVFD8JevtIoKQ2vaX1zt2XmZlNsYbhEBF/DZw5p7wW2J6mtwPXl+qPROE5YJ6kBcC1wN6IOBMRZ4G9wOq07KMR8aOICOCR0rbMzKxNZre4XldEnAKIiFOSLk31hcCJUrvBVButPlijXpOkXoqzDLq6uqhWqy11vm/5cEvrNdI1d/Rtt9rf6WBoaKij+9/ITB6fx9aZ2j22VsOhnlr3C6KFek0RsRXYCtDT0xOVSqWFLsLG/qdaWq+RvuXD3Huw/kd6/ObKpOx3KlSrVVr9vDvBTB6fx9aZ2j22Vp9WeiNdEiK9n071QWBxqd0i4GSD+qIadTMza6NWw2EXMPLE0QbgiVJ9fXpqaSXwdrr8tAdYJWl+uhG9CtiTlr0jaWV6Sml9aVtmZtYmDS8rSXoUqACXSBqkeOrobmCnpE3AT4EbU/PdwHXAAPBL4BaAiDgj6U7ghdTujogYucn9RYonouYCT6eXmZm1UcNwiIib6iy6pkbbADbX2c42YFuN+n7g0436YWZmU8ffkDYzs4zDwczMMg4HMzPLOBzMzCzjcDAzs4zDwczMMg4HMzPLOBzMzCzjcDAzs4zDwczMMg4HMzPLOBzMzCzjcDAzs4zDwczMMg4HMzPLOBzMzCzjcDAzs8y4wkHScUkHJR2QtD/VLpK0V9LR9D4/1SXpfkkDkl6WdHlpOxtS+6OSNtTbn5mZTY2JOHP4dxGxIiJ60nw/8ExEdAPPpHmANUB3evUCD0IRJhS/S30lcAVw+0igmJlZezT8DekWrAUqaXo7UAVuS/VH0u9MPydpnqQFqe3eiDgDIGkvsBp4dBL61lZL+p9q276P3/35tu3bzDrPeM8cAvg/kl6U1JtqXRFxCiC9X5rqC4ETpXUHU61e3czM2mS8Zw5XRcRJSZcCeyW9Nkpb1ajFKPV8A0UA9QJ0dXVRrVbH2N1C3/LhltZrpGvu5G17vFr9rEYMDQ2NexvT2Uwen8fWmdo9tnGFQ0ScTO+nJX2f4p7BG5IWRMSpdNnodGo+CCwurb4IOJnqlXPq1Tr72wpsBejp6YlKpVKrWUMbJ+nyTt/yYe49OBlX6sbv+M2Vca1frVZp9fPuBDN5fB5bZ2r32Fq+rCTpQkm/PjINrAJeAXYBI08cbQCeSNO7gPXpqaWVwNvpstMeYJWk+elG9KpUMzOzNhnPf+Z2Ad+XNLKd70TE/5b0ArBT0ibgp8CNqf1u4DpgAPglcAtARJyRdCfwQmp3x8jNaTMza4+WwyEijgG/VaP+/4BratQD2FxnW9uAba32xczMJpa/IW1mZhmHg5mZZRwOZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVnG4WBmZhmHg5mZZRwOZmaWcTiYmVnG4WBmZplpEw6SVks6ImlAUn+7+2Nm9mE2LcJB0izgAWANsAy4SdKy9vbKzOzDq+XfkJ5gVwAD6XepkbQDWAu82tZezSBL+p8a1/p9y4fZ2MI2jt/9+XHt18zaY7qEw0LgRGl+ELiyTX2xCTTeUBoPB5NZ66ZLOKhGLbJGUi/Qm2aHJB2Z1F6N0X+BS4A3292PydCJY9M9Y2receMbA4+tM03W2P5lM42mSzgMAotL84uAk+c2ioitwNap6tRYSdofET3t7sdkmMljg5k9Po+tM7V7bNPihjTwAtAtaamkOcA6YFeb+2Rm9qE1Lc4cImJY0q3AHmAWsC0iDrW5W2ZmH1rTIhwAImI3sLvd/RinaXvJawLM5LHBzB6fx9aZ2jo2RWT3fc3M7ENuutxzMDOzacThMEE64c9/SFos6VlJhyUdkvSlVL9I0l5JR9P7/FSXpPvTmF6WdHlpWxtS+6OSNpTqn5F0MK1zv6RajylP5hhnSXpJ0pNpfqmkfamfj6UHHpB0fpofSMuXlLaxJdWPSLq2VG/rMZY0T9Ljkl5Lx/CzM+XYSfqv6X+Tr0h6VNIFnXzsJG2TdFrSK6XapB+revtoSUT4Nc4XxU30nwCfAOYAPwaWtbtfNfq5ALg8Tf868LcUf67kfwD9qd4P3JOmrwOepvgeykpgX6pfBBxL7/PT9Py07Hngs2mdp4E1UzzG/wZ8B3gyze8E1qXpPwO+mKb/M/BnaXod8FiaXpaO3/nA0nRcZ02HYwxsB/5jmp4DzJsJx47iS7CvA3NLx2xjJx874N8ClwOvlGqTfqzq7aOlMUzl/7hn6isdpD2l+S3Alnb3q4l+PwH8e+AIsCDVFgBH0vQ3gZtK7Y+k5TcB3yzVv5lqC4DXSvUPtJuC8SwCngGuBp5M/8d5E5h97nGieDLus2l6dmqnc4/dSLt2H2Pgo+kfUJ1T7/hjxz//hYSL0rF4Eri2048dsIQPhsOkH6t6+2jl5ctKE6PWn/9Y2Ka+NCWdil8G7AO6IuIUQHq/NDWrN67R6oM16lPl68AfAv+U5i8G3oqI4Rr9eX8Mafnbqf1YxzxVPgH8PfCX6bLZX0i6kBlw7CLiZ8CfAj8FTlEcixeZOcduxFQcq3r7GDOHw8Ro6s9/TBeSPgJ8F/hyRPx8tKY1atFCfdJJ+m3gdES8WC6P0p+OGVsym+IyxYMRcRnwC4rLBvV0zPjSdfG1FJeCfgO4kOIvNNfrT8eMrUnTcjwOh4nR1J//mA4knUcRDN+OiO+l8huSFqTlC4DTqV5vXKPVF9WoT4WrgN+RdBzYQXFp6evAPEkj3+cp9+f9MaTlHwPOMPYxT5VBYDAi9qX5xynCYiYcu88Br0fE30fEPwLfA/41M+fYjZiKY1VvH2PmcJgYHfHnP9ITDQ8BhyPia6VFu4CRJyE2UNyLGKmvT09TrATeTqeqe4BVkuan/+pbRXFN9xTwjqSVaV/rS9uaVBGxJSIWRcQSis//BxFxM/AscEOdsY2M+YbUPlJ9XXoiZinQTXHzr63HOCL+Djgh6V+l0jUUf9K+448dxeWklZL+Rdr3yNhmxLErmYpjVW8fYzcVN5w+DC+KJw7+luKpiD9ud3/q9PHfUJx+vgwcSK/rKK7XPgMcTe8Xpfai+BGmnwAHgZ7Str4ADKTXLaV6D/BKWud/cs4N1CkaZ4V/flrpExT/QAwAfwWcn+oXpPmBtPwTpfX/OPX/CKUndtp9jIEVwP50/P4XxRMsM+LYAV8BXkv7/xbFE0cde+yARynun/wjxX/pb5qKY1VvH628/A1pMzPL+LKSmZllHA5mZpZxOJiZWcbhYGZmGYeDmZllHA5mZpZxOJiZWcbhYGZmmf8PBIIHTQopYM8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1['balance'].hist(bins=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>balance</th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>45211.000000</td>\n",
       "      <td>45211.000000</td>\n",
       "      <td>45211.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>40.936210</td>\n",
       "      <td>1362.272058</td>\n",
       "      <td>0.116985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.618762</td>\n",
       "      <td>3044.765829</td>\n",
       "      <td>0.321406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>-8019.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>39.000000</td>\n",
       "      <td>448.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>48.000000</td>\n",
       "      <td>1428.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>95.000000</td>\n",
       "      <td>102127.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                age        balance        result\n",
       "count  45211.000000   45211.000000  45211.000000\n",
       "mean      40.936210    1362.272058      0.116985\n",
       "std       10.618762    3044.765829      0.321406\n",
       "min       18.000000   -8019.000000      0.000000\n",
       "25%       33.000000      72.000000      0.000000\n",
       "50%       39.000000     448.000000      0.000000\n",
       "75%       48.000000    1428.000000      0.000000\n",
       "max       95.000000  102127.000000      1.000000"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>result</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.097783</td>\n",
       "      <td>0.025155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>balance</th>\n",
       "      <td>0.097783</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.052838</td>\n",
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       "    <tr>\n",
       "      <th>result</th>\n",
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      "text/plain": [
       "              age   balance    result\n",
       "age      1.000000  0.097783  0.025155\n",
       "balance  0.097783  1.000000  0.052838\n",
       "result   0.025155  0.052838  1.000000"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0.097783</td>\n",
       "      <td>0.025155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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      "text/plain": [
       "              age   balance    result\n",
       "age      1.000000  0.097783  0.025155\n",
       "balance  0.097783  1.000000  0.052838\n",
       "result   0.025155  0.052838  1.000000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**SPLITING DATA INTO TRAIN AND TEST**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\RamyaV\\Anaconda3\\lib\\site-packages\\sklearn\\cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "y = numodata\n",
    "x = data1.loc[:,[\"age\",\"balance\"]]\n",
    "from sklearn.cross_validation import train_test_split\n",
    "x_train,x_test,y_train,y_test =  train_test_split(x,y,test_size = 0.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NORMALIZATION**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler()\n",
    "x_train =  scaler.fit_transform(x_train)\n",
    "x_test = scaler.transform(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.38961039, 0.07738819],\n",
       "       [0.53246753, 0.07466454],\n",
       "       [0.32467532, 0.14430846],\n",
       "       ...,\n",
       "       [0.22077922, 0.06628475],\n",
       "       [0.22077922, 0.07555426],\n",
       "       [0.4025974 , 0.07856845]])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.28571429, 0.08075645],\n",
       "       [0.20779221, 0.07849581],\n",
       "       [0.28571429, 0.09944982],\n",
       "       ...,\n",
       "       [0.27272727, 0.08179144],\n",
       "       [0.14285714, 0.07544532],\n",
       "       [0.1038961 , 0.07425599]])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41115</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25483</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20007</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31388</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16494</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21636</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40517</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30038</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39376</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35310</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25235</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26664</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12010</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9093</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21829</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35074</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39985</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20104</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33085</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31028</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11538</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22381</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14243</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38283</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44602</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20916</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27390</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39375</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25831</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6938</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23907</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22772</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15619</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22908</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26617</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5339</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10481</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8834</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39121</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16391</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33326</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38945</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9043 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       0\n",
       "10586  0\n",
       "913    0\n",
       "21338  0\n",
       "9513   0\n",
       "32820  0\n",
       "1594   0\n",
       "4918   0\n",
       "4204   0\n",
       "42496  1\n",
       "28447  0\n",
       "8299   0\n",
       "10430  0\n",
       "23877  0\n",
       "12904  0\n",
       "22033  0\n",
       "11703  0\n",
       "31175  0\n",
       "4899   0\n",
       "41115  1\n",
       "25483  0\n",
       "20007  0\n",
       "31388  0\n",
       "16494  0\n",
       "21636  0\n",
       "40517  0\n",
       "30038  0\n",
       "39376  0\n",
       "35310  0\n",
       "25235  1\n",
       "26664  0\n",
       "...   ..\n",
       "12010  0\n",
       "9093   0\n",
       "21829  0\n",
       "35074  0\n",
       "39985  0\n",
       "20104  0\n",
       "33085  0\n",
       "31028  1\n",
       "11538  0\n",
       "22381  0\n",
       "14243  0\n",
       "38283  0\n",
       "44602  0\n",
       "20916  0\n",
       "27390  0\n",
       "39375  0\n",
       "25831  0\n",
       "6938   0\n",
       "23907  0\n",
       "22772  0\n",
       "15619  0\n",
       "22908  0\n",
       "26617  0\n",
       "5339   0\n",
       "10481  0\n",
       "8834   1\n",
       "39121  0\n",
       "16391  0\n",
       "33326  0\n",
       "38945  0\n",
       "\n",
       "[9043 rows x 1 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**USING RANDOMFOREST CLASSIFIER**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\RamyaV\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:3: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "            max_depth=3, 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=10, n_jobs=1,\n",
       "            oob_score=False, random_state=0, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "dtc_clf=RandomForestClassifier(max_depth=3,random_state=0)\n",
    "dtc_clf.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred=dtc_clf.predict(x_test)\n",
    "y_full=dtc_clf.predict(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix,accuracy_score,precision_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dtc_cm_test=confusion_matrix(y_test,y_pred)\n",
    "dtc_cm_test\n",
    "plt.figure(figsize= (4,4))\n",
    "sns.heatmap(dtc_cm_test,annot = True ,cbar = False)\n",
    "plt.xlabel(\"True Values\")\n",
    "plt.ylabel(\"Predicted Values\")\n",
    "plt.title(\"Random forest model\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dtc_cm_test=confusion_matrix(y_full,y)\n",
    "dtc_cm_test\n",
    "plt.figure(figsize= (4,4))\n",
    "sns.heatmap(dtc_cm_test,annot = True ,cbar = False)\n",
    "plt.xlabel(\"True Values\")\n",
    "plt.ylabel(\"Predicted Values\")\n",
    "plt.title(\"Random forest model\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8827822625234988"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dtc_acc_test=accuracy_score(y_test,y_pred)\n",
    "dtc_acc_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8185988477862406"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dtc_precision_test=precision_score(y_test,y_pred,average=\"weighted\")\n",
    "dtc_precision_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8827822625234988"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import recall_score\n",
    "dtc_recall_test=recall_score(y_test,y_pred,average=\"weighted\")\n",
    "dtc_recall_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}