Ensemble_Techniques_Bank.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objective:\n",
    "\n",
    "The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y).\n",
    "\n",
    "## Steps and tasks:\n",
    "1. Import the necessary libraries\n",
    "2. Read the data as a data frame\n",
    "3. Perform basic EDA which should include the following and print out your insights at every step.\n",
    "    a. Shape of the data\n",
    "    b. Data type of each attribute\n",
    "    c. Checking the presence of missing values\n",
    "    d. 5 point summary of numerical attributes\n",
    "    e. Checking the presence of outliers\n",
    "4. Prepare the data to train a model – check if data types are appropriate, get rid of the missing values etc\n",
    "5. Train a few standard classification algorithms, note and comment on their performances along different metrics.\n",
    "6. Build the ensemble models and compare the results with the base models. Note: Random forest can be used only with Decision trees.\n",
    "7. Compare performances of all the models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from scipy.stats import zscore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>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>Target</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",
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       "      <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",
       "  </tbody>\n",
       "</table>\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",
       "    contact  day month  duration  campaign  pdays  previous poutcome Target  \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  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colnames = ['age', 'job', 'marital', 'education', 'default', 'balance', 'housing', 'loan', 'contact', 'day', 'month', 'duration', 'campaign', 'pdays', 'previous', 'poutcome', 'Target']\n",
    "df = pd.read_csv('bank-full.csv')\n",
    "df.head(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45211, 17)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape # Shape of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 45211 entries, 0 to 45210\n",
      "Data columns (total 17 columns):\n",
      "age          45211 non-null int64\n",
      "job          45211 non-null object\n",
      "marital      45211 non-null object\n",
      "education    45211 non-null object\n",
      "default      45211 non-null object\n",
      "balance      45211 non-null int64\n",
      "housing      45211 non-null object\n",
      "loan         45211 non-null object\n",
      "contact      45211 non-null object\n",
      "day          45211 non-null int64\n",
      "month        45211 non-null object\n",
      "duration     45211 non-null int64\n",
      "campaign     45211 non-null int64\n",
      "pdays        45211 non-null int64\n",
      "previous     45211 non-null int64\n",
      "poutcome     45211 non-null object\n",
      "Target       45211 non-null object\n",
      "dtypes: int64(7), object(10)\n",
      "memory usage: 4.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info() # Data Types of the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Checking the presence of missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are no missing values in the dataset. However we could see few features like 'unknown' & 'others' for few columns. This may be  the missing values or outliers. This data will not be much helpful."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "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>Target</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>other</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>other</td>\n",
       "      <td>single</td>\n",
       "      <td>other</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>other</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>other</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",
       "  </tbody>\n",
       "</table>\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      other      no     1506     yes   no   \n",
       "4    33         other    single      other      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      other      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      other      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",
       "    contact  day month  duration  campaign  pdays  previous poutcome Target  \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  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Delete the rows which column 'poutcome' contains 'other'\n",
    "other = df.poutcome == 'other'\n",
    "df1 = df.drop(df[other].index, axis = 0, inplace = False)\n",
    "\n",
    "# Step 2: Fill 'unknown' in job and education to 'other'\n",
    "df1[['job','education']] = df1[['job','education']].replace(['unknown'],'other')\n",
    "\n",
    "df1.head(30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5 point summary of numerical attributes & Checking the presence of outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 43371 entries, 0 to 45209\n",
      "Data columns (total 17 columns):\n",
      "age          43371 non-null int64\n",
      "job          43371 non-null object\n",
      "marital      43371 non-null object\n",
      "education    43371 non-null object\n",
      "default      43371 non-null object\n",
      "balance      43371 non-null int64\n",
      "housing      43371 non-null object\n",
      "loan         43371 non-null object\n",
      "contact      43371 non-null object\n",
      "day          43371 non-null int64\n",
      "month        43371 non-null object\n",
      "duration     43371 non-null int64\n",
      "campaign     43371 non-null int64\n",
      "pdays        43371 non-null int64\n",
      "previous     43371 non-null int64\n",
      "poutcome     43371 non-null object\n",
      "Target       43371 non-null object\n",
      "dtypes: int64(7), object(10)\n",
      "memory usage: 4.3+ MB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None,\n",
       "                 age        balance           day      duration      campaign  \\\n",
       " count  43371.000000   43371.000000  43371.000000  43371.000000  43371.000000   \n",
       " mean      40.986443    1356.963063     15.862904    258.266930      2.776671   \n",
       " std       10.595454    3030.956348      8.324122    257.950498      3.138053   \n",
       " min       18.000000   -8019.000000      1.000000      0.000000      1.000000   \n",
       " 25%       33.000000      70.000000      8.000000    103.000000      1.000000   \n",
       " 50%       39.000000     443.000000     16.000000    180.000000      2.000000   \n",
       " 75%       48.000000    1417.000000     21.000000    318.000000      3.000000   \n",
       " max       95.000000  102127.000000     31.000000   4918.000000     63.000000   \n",
       " \n",
       "               pdays      previous  \n",
       " count  43371.000000  43371.000000  \n",
       " mean      32.158954      0.434853  \n",
       " std       90.689195      1.559405  \n",
       " min       -1.000000      0.000000  \n",
       " 25%       -1.000000      0.000000  \n",
       " 50%       -1.000000      0.000000  \n",
       " 75%       -1.000000      0.000000  \n",
       " max      871.000000     55.000000  )"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.info(), df1.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above description on dataset, we can see the 5 point summary on each variables.\n",
    "We can see that the variable Balance consists of more outliers.\n",
    "\n",
    "\n",
    "The outliers need to br dropped now. Outliers are defined as the values which are more than three standard deviations away from the mean. zscore can be used for this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 42655 entries, 0 to 45209\n",
      "Data columns (total 17 columns):\n",
      "age          42655 non-null int64\n",
      "job          42655 non-null object\n",
      "marital      42655 non-null object\n",
      "education    42655 non-null object\n",
      "default      42655 non-null object\n",
      "balance      42655 non-null int64\n",
      "housing      42655 non-null object\n",
      "loan         42655 non-null object\n",
      "contact      42655 non-null object\n",
      "day          42655 non-null int64\n",
      "month        42655 non-null object\n",
      "duration     42655 non-null int64\n",
      "campaign     42655 non-null int64\n",
      "pdays        42655 non-null int64\n",
      "previous     42655 non-null int64\n",
      "poutcome     42655 non-null object\n",
      "Target       42655 non-null object\n",
      "dtypes: int64(7), object(10)\n",
      "memory usage: 4.2+ MB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None,\n",
       "                 age       balance           day      duration     campaign  \\\n",
       " count  42655.000000  42655.000000  42655.000000  42655.000000  42655.00000   \n",
       " mean      40.937123   1079.808416     15.863299    258.173157      2.77808   \n",
       " std       10.578167   1717.623768      8.329445    257.847671      3.14056   \n",
       " min       18.000000  -6847.000000      1.000000      0.000000      1.00000   \n",
       " 25%       33.000000     66.000000      8.000000    103.000000      1.00000   \n",
       " 50%       39.000000    425.000000     16.000000    180.000000      2.00000   \n",
       " 75%       48.000000   1341.000000     21.000000    318.000000      3.00000   \n",
       " max       95.000000  10443.000000     31.000000   4918.000000     63.00000   \n",
       " \n",
       "               pdays      previous  \n",
       " count  42655.000000  42655.000000  \n",
       " mean      32.210855      0.434885  \n",
       " std       90.856368      1.563589  \n",
       " min       -1.000000      0.000000  \n",
       " 25%       -1.000000      0.000000  \n",
       " 50%       -1.000000      0.000000  \n",
       " 75%       -1.000000      0.000000  \n",
       " max      871.000000     55.000000  )"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[['balance']].mean()\n",
    "\n",
    "df1['balance_outliers'] = df1['balance']\n",
    "df1['balance_outliers']= zscore(df1['balance_outliers'])\n",
    "\n",
    "condition1 = (df1['balance_outliers']>3) | (df1['balance_outliers']<-3 )\n",
    "df2 = df1.drop(df1[condition1].index, axis = 0, inplace = False)\n",
    "bank_df = df2.drop('balance_outliers', axis=1)\n",
    "bank_df.info(), bank_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualisation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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t99kTB20z3bC8+24cc4bxzHscc4bxzLuvOdvlTZK0HPYDW6vqp4GTgfOTnABsA26oqnW0o8qt/eC4F1voxrRgYNyLk4ATgQuSHN3WmRr3Ymq9jcvwuCRJK6CqHgYmgY1VdX/r1vYo8Ad0+wfozjA6bmC1Y4H7DhI/dkhckjSEBSVJ0pJrX/a/2K5/B7iLrhvBJuCy1uwyHhurwnEvJEmPk+Q57cwkkhwJ/DzwlbYPoJ3deiZwR1vlGuCcNtvbycAjVXU/cD1wapKj20GJU4Hr27LvJDm5besc4OrlfIySNE7s8iZJWlZJ1gIvAm4CVrcv8FTV/Ume25ot+7gXfe2bPsgcF24qvz6PXdL35xDMcTH0Pb+eOga4rI2j9EPAVVX1sSSfSvIcui5rtwL/trW/jq7r9C667tOvAaiqvUneCtzc2r2lqva266/lse7TH8cZ3iRpRhaUJEnLJslTgT8G3lBV3+4OAA9vOiS2pONe9LVv+iBzXLip/Po8dknfn0Mwx8XQ9/z6qKpuozsgMT3+shnaF3D+DMt2ADuGxL8AvGBhmUrS4cEub5KkZZHkCXTFpA9U1Uda+IGBrgrHAA+2uONeSJIkST120IJSkh1JHkxyx0DsmUl2Jrm7/T26xZPk4iS7ktyW5MUD62xu7e9uM/RMxV+S5Pa2zsWZ5XC1JGk8tc/2S4G7quqdA4uuAab2CZt5bKwKx72QJEmSemwuZyi9nwNnynFWHknSKF4K/ArwsiS3tssZwIXAy5PcDby83YZu3It76Ma9eC/w76Ab9wKYGvfiZg4c9+J9bZ2v4rgXkiRJ0pI56BhKVfWZNoDqoE3ARLt+Gd2UnW9kYFYe4MYkU7PyTNBm5QFIMjUrzyRtVp4Wn5qVxx8BknQIqarPMnycI4BThrR33AtJkiSpx+Y7KPeyz8oDM8/Ms1iWYraNhc4is/rIhW9jMU3Ppw+zk/RxlpS+5dS3fKB/OfUtH0mSJEnqs8We5W3JZuWBmWfmWSxLMdvGQmeR2bp+Pxfd3p/J+KbnM8qsNUulj7Ok9C2nvuUD/cupb/lIkiRJUp/Nd5Y3Z+WRJEmSJEk6TM23oOSsPJIkSZIkSYepg/alSvIhukG1n51kD91sbRcCVyU5D/g68KrW/DrgDLoZdr4HvAa6WXmSTM3KAwfOyvN+4Ei6wbgdkFuSJEmSJKnH5jLL26tnWOSsPJIkSZIkSYeh+XZ5kyRJkiRJ0mHKgpIkSZIkSZJGYkFJkiRJkiRJI7GgJEmSJEmSpJFYUJIkSZIkSdJILChJkiRJkiRpJBaUJEmSJEmSNBILSpIkSZIkSRqJBSVJkiRJvZfkSUk+n+TPktyZ5Lda/PgkNyW5O8mVSZ7Y4j/cbu9qy9cObOtNLf7nSU4biG9ssV1Jti33Y5SkcWJBSZIkSdI4eBR4WVX9DPBCYGOSk4F3AO+qqnXAQ8B5rf15wENV9TzgXa0dSU4AzgKeD2wEfi/JEUmOAN4DnA6cALy6tZUkDWFBSZIkSVLvVWdfu/mEdingZcCHW/wy4Mx2fVO7TVt+SpK0+BVV9WhVfQ3YBZzYLruq6p6q+j5wRWsrSRpi1UonIEmSJElz0c4iugV4Ht3ZRF8FHq6q/a3JHmBNu74GuBegqvYneQR4VovfOLDZwXXunRY/aYY8tgBbAFavXs3k5OSsee/bt++ANlvX7x/eeIkcLMdhhuXdd+OYM4xn3uOYM4xn3n3N2YKSJEmSpLFQVT8AXpjkKOCjwE8Pa9b+ZoZlM8WH9d6oITGqajuwHWDDhg01MTExa96Tk5NMb3PutmtnXWex7T574qBtphuWd9+NY84wnnmPY84wnnn3NWe7vEmSJEkaK1X1MDAJnAwclWTqQPmxwH3t+h7gOIC2/BnA3sH4tHVmikuShrCgJEmSJKn3kjynnZlEkiOBnwfuAj4NvLI12wxc3a5f027Tln+qqqrFz2qzwB0PrAM+D9wMrGuzxj2RbuDua5b+kUnSeLLLmyRJkqRxcAxwWRtH6YeAq6rqY0m+DFyR5G3Al4BLW/tLgT9MsovuzKSzAKrqziRXAV8G9gPnt650JHkdcD1wBLCjqu5cvocnSePFgpIkSZKk3quq24AXDYnfQzdD2/T43wCvmmFbbwfePiR+HXDdgpOVpMOAXd4kSZIkSZI0EgtKkiRJkiRJGokFJUmSJEmSJI3EgpIkSZIkSZJGYkFJkiRJkiRJI7GgJEmSJEmSpJFYUJIkSZIkSdJILChJkiRJkiRpJBaUJEmSJEmSNJIFFZSS/Mckdya5I8mHkjwpyfFJbkpyd5Irkzyxtf3hdntXW752YDtvavE/T3Lawh6SJEmSJEmSltK8C0pJ1gD/AdhQVS8AjgDOAt4BvKuq1gEPAee1Vc4DHqqq5wHvau1IckJb7/nARuD3khwx37wkSZIkSZK0tBba5W0VcGSSVcCTgfuBlwEfbssvA85s1ze127TlpyRJi19RVY9W1deAXcCJC8xLkiRJkiRJS2TVfFesqm8k+W3g68BfA58EbgEerqr9rdkeYE27vga4t627P8kjwLNa/MaBTQ+u8zhJtgBbAFavXs3k5OR80x9q3759i77Nrev3H7zRLFYfufBtLKbp+Sz28zUfS/G6LVTfcupbPtC/nPqWjyRJkiT12bwLSkmOpju76HjgYeCPgNOHNK2pVWZYNlP8wGDVdmA7wIYNG2piYmK0pA9icnKSxd7muduuXdD6W9fv56Lb5/0yLbrp+ew+e2LlkmmW4nVbqL7l1Ld8oH859S0fSZIkSeqzhXR5+3nga1X1zar6/4CPAP8IOKp1gQM4FrivXd8DHAfQlj8D2DsYH7KOJOkQkGRHkgeT3DEQe3OSbyS5tV3OGFg2dLKGJBtbbFeSbQPxoRNCSJIkSVoaCykofR04OcmT21hIpwBfBj4NvLK12Qxc3a5f027Tln+qqqrFz2qzwB0PrAM+v4C8JEn98366iReme1dVvbBdroOZJ2toEza8h+5s2BOAV7e2MPOEEJIkSZKWwLwLSlV1E93g2l8Ebm/b2g68Efi1JLvoxki6tK1yKfCsFv81YFvbzp3AVXTFqE8A51fVD+ablySpf6rqM3Rnpc7FTJM1nAjsqqp7qur7wBXApnZQY6YJISRJkiQtgQUNzlNVFwAXTAvfw5BZ2qrqb4BXzbCdtwNvX0gukqSx9Lok5wBfALZW1UPMPlnDvdPiJ9EdvJhpQogDzDTBwzgMzG6OCzeV33JPeDHKc9L35xDMcTH0Pb8+SnIccDnwI8DfAtur6t1J3gz8a+CbrelvDpz1+ia6s1Z/APyHqrq+xTcC7waOAN5XVRe2+PF0ByyeSXfg/FfaQQxJ0jT9Ge1ZknS4uQR4K91EDG8FLgJ+lZknaxh2Vu1IkzvAzBM8jMPA7Oa4cFP5LXTSjFGNMolF359DMMfF0Pf8emo/3cGHLyZ5GnBLkp1t2buq6rcHG0/rQv2jwJ8k+Ym2+D3Ay+kOQtyc5Jqq+jKPdaG+Isnv0xWjLlnyRyZJY2ghYyhJkjRvVfVAVf2gqv4WeC+Pnd0602QNM8W/xcwTQkiSDhFVdX9VfbFd/w5wF7OckYpdqCVpSXmGkhZk7TIf4QXYfeErlv0+JS2+JMdU1f3t5i8BUzPAXQN8MMk76Y4oT03WEGBd647wDbqjzv+yqirJ1IQQV/D4CSEkSYegJGuBFwE3AS9lmbtQz9R9eibDujj2uevtlHHsmjmOOcN45j2OOcN45t3XnC0oSZKWXJIPARPAs5PsoRt/byLJC+m6p+0G/g10kzUkmZqsYT8DkzUkeR1wPd2YFzvaxA7QTQhxRZK3AV/isQkhJEmHmCRPBf4YeENVfTvJsnehnqn79EyGdXHsc9fbKePYNXMcc4bxzHscc4bxzLuvOVtQkiQtuap69ZDwjEWfmSZraIOsXjckPnRCCEnSoSXJE+iKSR+oqo9A14V6YPl7gY+1mzN1lWaG+N91oW5nKdmFWpJm4RhKkiRJknqvjXF0KXBXVb1zIH7MQLPpXajPSvLDrbv0VBfqm2ldqJM8ka4L9TVVVcBUF2qwC7UkzcozlCRJkiSNg5cCvwLcnuTWFvtN4NV2oZak5WdBSZIkSVLvVdVnGT7O0QFdoQfWsQu1JC0Ru7xJkiRJkiRpJBaUJEmSJEmSNBILSpIkSZIkSRqJBSVJkiRJkiSNxIKSJEmSJEmSRmJBSZIkSZIkSSOxoCRJkiRJkqSRWFCSJEmSJEnSSCwoSZIkSZIkaSSrVjoBaVRrt137uNtb1+/n3GmxxbT7wlcs2bYlSZIkSRpHnqEkSZIkSZKkkVhQkiRJkiRJ0kgsKEmSJEmSJGkkFpQkSZIkSZI0EgtKkiRJkiRJGokFJUmSJEmSJI3EgpIkSZIkSZJGYkFJkiRJkiRJI7GgJEmSJKn3khyX5NNJ7kpyZ5LXt/gzk+xMcnf7e3SLJ8nFSXYluS3Jiwe2tbm1vzvJ5oH4S5Lc3ta5OEmW/5FK0nhYUEEpyVFJPpzkK+2D/WcX8wNdkiRJkpr9wNaq+mngZOD8JCcA24AbqmodcEO7DXA6sK5dtgCXQFeAAi4ATgJOBC6Y+s3S2mwZWG/jMjwuSRpLCz1D6d3AJ6rqp4CfAe5icT/QJUmSJImqur+qvtiuf4fut8caYBNwWWt2GXBmu74JuLw6NwJHJTkGOA3YWVV7q+ohYCewsS17elV9rqoKuHxgW5KkaVbNd8UkTwd+DjgXoKq+D3w/ySZgojW7DJgE3sjABzpwYzu76ZjWdmdV7W3b3Ul3JOBD881NkiRJ0qEryVrgRcBNwOqquh+6olOS57Zma4B7B1bb02KzxfcMiQ+7/y10B8lZvXo1k5OTs+a7b9++A9psXb9/1nUW28FyHGZY3n03jjnDeOY9jjnDeObd15znXVAC/h7wTeAPkvwMcAvwehbvA/0Ao35wj2opXqSF7ihWH7n8O5vZ9C0fWPqcDoWdb9/ygf7l1Ld8JEnScEmeCvwx8Iaq+vYswxwNW1DziB8YrNoObAfYsGFDTUxMzJrz5OQk09ucu+3aWddZbLvPnjhom+mG5d1345gzjGfe45gzjGfefc15IQWlVcCLgX9fVTcleTePdW8bZtk/uEe1FC/SQncUW9fv56LbF/IyLa6+5QNLn9OhsPPtWz7Qv5z6lo8kSTpQkifQFZM+UFUfaeEHkhzTDmYfAzzY4nuA4wZWPxa4r8UnpsUnW/zYIe0lSUMsZAylPcCeqrqp3f4wXYHpgfZBzggf6MPikiRJkgR0k/wAlwJ3VdU7BxZdA0xN7LMZuHogfk6bHOhk4JHWk+J64NQkR7exW08Frm/LvpPk5HZf5wxsS5I0zbwLSlX1l8C9SX6yhU4BvswifaDPNy9JkiRJh6SXAr8CvCzJre1yBnAh8PIkdwMvb7cBrgPuAXYB7wX+HUAbu/WtwM3t8pap8VyB1wLva+t8Ffj4cjwwSRpHC+0n9O+BDyR5It2H9WvoilRXJTkP+Drwqtb2OuAMug/n77W2VNXeJFMf6PD4D3RJkiRJoqo+y/DhMqA7uD29fQHnz7CtHcCOIfEvAC9YQJqSdNhYUEGpqm4FNgxZtCgf6JIkSZIkSeqfhYyhJEmSJEmSpMOQBSVJkiRJkiSNpF/zv0uSpMPO2m3XLtt9bV2/n3OX8f4kSZIOVZ6hJEmSJEmSpJFYUJIkSZIkSdJILChJkpZckh1JHkxyx0DsmUl2Jrm7/T26xZPk4iS7ktyW5MUD62xu7e9Osnkg/pIkt7d1Lk4y07TSkiRJkhaBBSVJ0nJ4P7BxWmwbcENVrQNuaLcBTgfWtcsW4BLoClDABcBJwInABVNFqNZmy8B60+9LkiRJ0iKyoCRJWnJV9Rlg77TwJuCydv0y4MyB+OXVuRE4KskxwGnAzqraW1UPATuBjW3Z06vqc1VVwOUD25IkSZK0BCwoSZJWyuqquh+g/X1ui68B7h1ot6fFZovvGRKXJEmStERWrXQCkiRNM2z8o5pHfPjGky103eNYvXo1k5OTAOzbt+/vrvfVoZrj1vX7lyaZIVYfubz3N2WU5+RQfZ2XW99z7Ht+kiQdjAUlSdJKeSDJMVV1f+u29mCL7wGOG2injQKAAAAgAElEQVR3LHBfi09Mi0+2+LFD2g9VVduB7QAbNmyoiYluk5OTk0xd76tDNcdzt127NMkMsXX9fi66ffm//uw+e2LObQ/V13m59T3HvucnSdLB2OVNkrRSrgGmZmrbDFw9ED+nzfZ2MvBI6xJ3PXBqkqPbYNynAte3Zd9JcnKb3e2cgW1JkiRJWgKeoSRJWnJJPkR3dtGzk+yhm63tQuCqJOcBXwde1ZpfB5wB7AK+B7wGoKr2JnkrcHNr95aqmhro+7V0M8kdCXy8XSRJkiQtEQtKkqQlV1WvnmHRKUPaFnD+DNvZAewYEv8C8IKF5ChJkiRp7uzyJkmSJEmSpJFYUJIkSZIkSdJILChJkiRJkiRpJBaUJEmSJPVekh1JHkxyx0DszUm+keTWdjljYNmbkuxK8udJThuIb2yxXUm2DcSPT3JTkruTXJnkicv36CRp/FhQkiRJkjQO3g9sHBJ/V1W9sF2uA0hyAnAW8Py2zu8lOSLJEcB7gNOBE4BXt7YA72jbWgc8BJy3pI9GksacBSVJkiRJvVdVnwH2zrH5JuCKqnq0qr4G7AJObJddVXVPVX0fuALYlCTAy4APt/UvA85c1AcgSYeYVSudgCRJkiQtwOuSnAN8AdhaVQ8Ba4AbB9rsaTGAe6fFTwKeBTxcVfuHtD9Aki3AFoDVq1czOTk5a4L79u07oM3W9fuHN14iB8txmGF599045gzjmfc45gzjmXdfc7agJEmSJGlcXQK8Faj29yLgV4EMaVsM76FRs7Qfqqq2A9sBNmzYUBMTE7MmOTk5yfQ25267dtZ1FtvusycO2ma6YXn33TjmDOOZ9zjmDOOZd19ztqAkSZIkaSxV1QNT15O8F/hYu7kHOG6g6bHAfe36sPi3gKOSrGpnKQ22lyQN4RhKkiRJksZSkmMGbv4SMDUD3DXAWUl+OMnxwDrg88DNwLo2o9sT6QbuvqaqCvg08Mq2/mbg6uV4DJI0rjxDSZIkSVLvJfkQMAE8O8ke4AJgIskL6bqn7Qb+DUBV3ZnkKuDLwH7g/Kr6QdvO64DrgSOAHVV1Z7uLNwJXJHkb8CXg0mV6aJI0liwoSZIkSeq9qnr1kPCMRZ+qejvw9iHx64DrhsTvoZsFTpI0Bwvu8pbkiCRfSvKxdvv4JDcluTvJle1UUtrpplcm2dWWrx3Yxpta/M+TnLbQnCRJkiRJkrR0FmMMpdcDdw3cfgfwrqpaBzwEnNfi5wEPVdXzgHe1diQ5ga7v8vOBjcDvJTliEfKSJEmSJEnSElhQQSnJscArgPe12wFeBny4NbkMOLNd39Ru05af0tpvAq6oqker6mvALjzVVJIkSZIkqbcWOobS7wD/CXhau/0s4OE21SZ003WuadfXAPcCVNX+JI+09muAGwe2ObjO4yTZAmwBWL16NZOTkwtM//H27du36Nvcun7/wRvNYvWRC9/GYupbPrD0Oc3nPbEU76WF6Fs+0L+c+paPJEmSJPXZvAtKSX4BeLCqbkkyMRUe0rQOsmy2dR4frNoObAfYsGFDTUxMDGs2b5OTkyz2Ns/ddu2C1t+6fj8X3d6fsdP7lg8sfU67z54YeZ2leC8tRN/ygf7l1Ld8JEmSJKnPFvIr/KXALyY5A3gS8HS6M5aOSrKqnaV0LHBfa78HOA7Yk2QV8Axg70B8yuA6kiRJkiRJ6pl5j6FUVW+qqmOrai3doNqfqqqzgU8Dr2zNNgNXt+vXtNu05Z+qqmrxs9oscMcD64DPzzcvSZIkSZIkLa2l6Cf0RuCKJG8DvgRc2uKXAn+YZBfdmUlnAVTVnUmuAr4M7AfOr6ofLEFekiRJkiRJWgSLUlCqqklgsl2/hyGztFXV3wCvmmH9twNvX4xcJEmSJEmStLTm3eVNkiRJkiRJhycLSpIkSZIkSRqJBSVJkiRJkiSNxIKSJEmSJEmSRmJBSZIkSZIkSSOxoCRJkiRJkqSRWFCSJEmSJEnSSCwoSZIkSZIkaSQWlCRJkiT1XpIdSR5McsdA7JlJdia5u/09usWT5OIku5LcluTFA+tsbu3vTrJ5IP6SJLe3dS5OkuV9hJI0XiwoSZIkSRoH7wc2TottA26oqnXADe02wOnAunbZAlwCXQEKuAA4CTgRuGCqCNXabBlYb/p9SZIGrFrpBKS+W7vt2pHX2bp+P+fOYz2A3Re+Yl7rSZIkHcqq6jNJ1k4LbwIm2vXLgEngjS1+eVUVcGOSo5Ic09rurKq9AEl2AhuTTAJPr6rPtfjlwJnAx5fuEUnSePMMJUmSJEnjanVV3Q/Q/j63xdcA9w6029Nis8X3DIlLkmbgGUqSJEmSDjXDxj+qecSHbzzZQtc9jtWrVzM5OTlrMvv27Tugzdb1+2ddZ7EdLMdhhuXdd+OYM4xn3uOYM4xn3n3N2YKSJEmSpHH1QJJjqur+1qXtwRbfAxw30O5Y4L4Wn5gWn2zxY4e0H6qqtgPbATZs2FATExMzNQW6Ys70NvMdHmG+dp89cdA20w3Lu+/GMWcYz7zHMWcYz7z7mrNd3iRJkiSNq2uAqZnaNgNXD8TPabO9nQw80rrEXQ+cmuToNhj3qcD1bdl3kpzcZnc7Z2BbkqQhPENJkiRJUu8l+RDd2UXPTrKHbra2C4GrkpwHfB14VWt+HXAGsAv4HvAagKram+StwM2t3VumBugGXks3k9yRdINxOyC3JM3CgpIkaUUl2Q18B/gBsL+qNrRpna8E1gK7gV+uqofaUeN30/1I+B5wblV9sW1nM/Bf2mbfVlWXLefjkCQtrap69QyLThnStoDzZ9jODmDHkPgXgBcsJEdJOpzY5U2S1Af/tKpeWFUb2u1twA1VtQ64od0GOB1Y1y5bgEsAWgHqAuAk4ETggtaVQZIkSdISsKAkSeqjTcDUGUaXAWcOxC+vzo3AUW0Q1tOAnVW1t6oeAnYCG5c7aUmSJOlwYZc3SdJKK+CTSQr4H23mnNVtgFTazD3PbW3XAPcOrLunxWaKH2CmqZ77Oh3roEM1x+WcOnv1kcs/VTeMNl33ofo6L7e+59j3/CRJOhgLSpKklfbSqrqvFY12JvnKLG0zJFazxA8MzjDVc1+nYx10qOa4nFNnb12/n4tuX/6vP6NM132ovs7Lre859j0/SZIOxi5vkqQVVVX3tb8PAh+lGwPpgdaVjfb3wdZ8D3DcwOrHAvfNEpckSZK0BCwoSZJWTJKnJHna1HXgVOAO4Bpgc2u2Gbi6Xb8GOCedk4FHWte464FTkxzdBuM+tcUkSZIkLQG7vEmSVtJq4KNJoNsnfbCqPpHkZuCqJOcBXwde1dpfB5wB7AK+B7wGoKr2JnkrcHNr95aq2rt8D0Oa3doRuvVtXb9/wd0Ad1/4igWtL0mSdDAWlCRJK6aq7gF+Zkj8r4BThsQLOH+Gbe0Adix2jpIkSZIOZJc3SZIkSZIkjWTeBaUkxyX5dJK7ktyZ5PUt/swkO5Pc3f4e3eJJcnGSXUluS/LigW1tbu3vTrJ5pvuUJEmSJEnSylvIGUr7ga1V9dPAycD5SU4AtgE3VNU64IZ2G+B0YF27bAEuga4ABVwAnEQ3s88FU0UoSZIkSZIk9c+8C0pVdX9VfbFd/w5wF7AG2ARc1ppdBpzZrm8CLq/OjcBRbSro04CdVbW3qh4CdgIb55uXJEmSJEmSltaijKGUZC3wIuAmYHWbwpn297mt2Rrg3oHV9rTYTHFJkiRJkiT10IJneUvyVOCPgTdU1bfb1M9Dmw6J1SzxYfe1ha67HKtXr2ZycnLkfGezb9++Rd/m1vX7F7T+6iMXvo3F1Ld84NDLabHfg7A07+2F6ltOfctHkiRJkvpsQQWlJE+gKyZ9oKo+0sIPJDmmqu5vXdoebPE9wHEDqx8L3NfiE9Pik8Pur6q2A9sBNmzYUBMTE8Oazdvk5CSLvc1zt127oPW3rt/PRbcvuO63aPqWDxx6Oe0+e2Jxk2Fp3tsL1bec+paPJEmSJPXZQmZ5C3ApcFdVvXNg0TXA1Extm4GrB+LntNneTgYeaV3irgdOTXJ0G4z71BaTJEmSJElSDy3ktI6XAr8C3J7k1hb7TeBC4Kok5wFfB17Vll0HnAHsAr4HvAagqvYmeStwc2v3lqrau4C8JEmSJEmStITmXVCqqs8yfPwjgFOGtC/g/Bm2tQPYMd9cJEmSJEmStHwWZZY3SZIkSVopSXYnuT3JrUm+0GLPTLIzyd3t79EtniQXJ9mV5LYkLx7YzubW/u4km2e6P0mSBSVJkiRJh4Z/WlUvrKoN7fY24IaqWgfc0G4DnA6sa5ctwCXQFaCAC4CTgBOBC6aKUJKkA1lQkiRJknQo2gRc1q5fBpw5EL+8OjcCR7XZqU8DdlbV3qp6CNgJbFzupCVpXPRrrnVJkiRJGl0Bn0xSwP+oqu3A6jarNFV1f5LntrZrgHsH1t3TYjPFD5BkC93ZTaxevZrJyclZk9u3b98Bbbau3z+Xx7VoDpbjMMPy7rtxzBnGM+9xzBnGM+++5mxBSZIkSdK4e2lV3deKRjuTfGWWtsMmFqpZ4gcGu4LVdoANGzbUxMTErMlNTk4yvc25266ddZ3FtvvsiYO2mW5Y3n03jjnDeOY9jjnDeObd15zt8iZJkiRprFXVfe3vg8BH6cZAeqB1ZaP9fbA13wMcN7D6scB9s8QlSUNYUJIkSZI0tpI8JcnTpq4DpwJ3ANcAUzO1bQaubtevAc5ps72dDDzSusZdD5ya5Og2GPepLSZJGsIub5IkSZLG2Wrgo0mg+33zwar6RJKbgauSnAd8HXhVa38dcAawC/ge8BqAqtqb5K3Aza3dW6pq7/I9DEkaL4ddQWntLH2Vt67fv+x9mSVJkiTNX1XdA/zMkPhfAacMiRdw/gzb2gHsWOwcJelQZJc3SZIkSZIkjcSCkiRJkiRJkkZiQUmSJEmSJEkjsaAkSZIkSZKkkRx2g3JLkiQd6mabhGQxTJ/IZPeFr1jS+5MkSf3jGUqSJEmSJEkaiQUlSZIkSZIkjcSCkiRJkiRJkkZiQUmSJEmSJEkjsaAkSZIkSZKkkVhQkiRJkiRJ0kgsKEmSJEmSJGkkq1Y6AUmSJI23tduuXdb7233hK5b1/iRJ0oEsKEmSJEnSIW4+hd+t6/dz7jwLxhZ+pUOfXd4kSZIkSZI0Es9QknpmKboNzHZ0yaNHkiRJkqRRWVCSDnOOeyFJGjdz2XctpKvOdO67JEk6kF3eJEmSJEmSNJLenKGUZCPwbuAI4H1VdeEKpyRJGjPuSyQtheXujg6eFbWS3JdI0tz0oqCU5AjgPcDLgT3AzUmuqaovr2xmkhbb1JfyxeyKMBu/kB8+3JdIkhbKfcnicVgF6dDXi4IScCKwq6ruAUhyBbAJ8INbkjRX7kskSQvlvmRMLfdBS7CIJaWqVjoHkrwS2FhV/6rd/hXgpKp63bR2W4At7eZPAn++yKk8G/jWIm9zofqWU9/yAXOai77lA/3LqQ/5/HhVPWeFcxhbi7Av6cN74GDMceH6nh+Y42Lpe45LlZ/7kgVYwt8lfX8/zmQc8x7HnGE88x7HnGE8817unOe0L+nLGUoZEjug0lVV24HtS5ZE8oWq2rBU25+PvuXUt3zAnOaib/lA/3LqWz6alwXtS8bhPWCOC9f3/MAcF0vfc+x7foexJfldMq6v9zjmPY45w3jmPY45w3jm3dec+zLL2x7guIHbxwL3rVAukqTx5L5EkrRQ7kskaY76UlC6GViX5PgkTwTOAq5Z4ZwkSePFfYkkaaHcl0jSHPWiy1tV7U/yOuB6uuk5d1TVnSuQypJ1p1uAvuXUt3zAnOaib/lA/3LqWz4a0SLsS8bhPWCOC9f3/MAcF0vfc+x7foelJfxdMq6v9zjmPY45w3jmPY45w3jm3cucezEotyRJkiRJksZHX7q8SZIkSZIkaUxYUJIkSZIkSdJIDtuCUpLjknw6yV1J7kzy+hZ/ZpKdSe5uf49epnyelOTzSf6s5fNbLX58kptaPle2wQGXTZIjknwpycd6ks/uJLcnuTXJF1psRV6zgZyOSvLhJF9p76efXcmckvxke36mLt9O8oYVzuk/tvf1HUk+1N7vK/1een3L584kb2ixFX0vaem099jU/8TuJLe2+Nokfz2w7PcH1nlJ+7zZleTiJGnxJXmfJHlzkm8M5HLGwLI3tTz+PMlpA/GNLbYrybaB+JL8fyX57+2z7rYkH01yVIv35nk8SP5Dn69luN+ZvnMs2mu+SHnOeR+bzsUtj9uSvHhgO5tb+7uTbF7E/Gbav63o85hkR5IHk9wxEFu0522m/yGNj5X67BnVKO/lvpjl87W3eaenv/vmIj37bTgXo+zb+iI9+305q6o6LC/AMcCL2/WnAf8vcALwfwDbWnwb8I5lyifAU9v1JwA3AScDVwFntfjvA69d5ufp14APAh9rt1c6n93As6fFVuQ1G7j/y4B/1a4/EThqpXMayO0I4C+BH1/B9/Ya4GvAkQPvoXNX8r0EvAC4A3gy3eQEfwKs68vr5mXJX/+LgP/arq8F7pih3eeBn22fzx8HTm/xJXmfAG8Gfn1I/ATgz4AfBo4Hvtr+t49o1/9e++z5M+CEts6S/H8BpwKr2vV3TD32Pj2Ps+Q+4/O1DO+5mb5zLNprvkh57maO+1jgjPZ6hu77yk0t/kzgnvb36Hb96CV6Paf2byv6PAI/B7x48H9gMZ+3mf6HvIzHZSU/e+aR65zfy325zPL52tu86envvjnm3qvfhnPMec77tr5c6PHvy+mXw/YMpaq6v6q+2K5/B7iL7ofvJroXkPb3zGXKp6pqX7v5hHYp4GXAh5c7H4AkxwKvAN7Xbmcl85nFirxmAEmeTrfzvRSgqr5fVQ+vZE7TnAJ8tar+YoVzWgUcmWQVXRHnflb2vfTTwI1V9b2q2g/8KfBL9Od10xJpn2O/DHzoIO2OAZ5eVZ+rbs99OY+9H5b7fbIJuKKqHq2qrwG7gBPbZVdV3VNV3weuADYt5Wd1VX2y/c8A3AgcO1v7nj2PQ5+vJb5PYNbvHDMZ6TVf2uxnfJ02AZe37y83Ake11/s0YGdV7a2qh4CdwMYlyGtw/zZb7kv+PFbVZ4C9Q+57wc/bQf6HNB5W7LNnVCO+l3uhb7/p5qKPv/vmYox+G85Fb98fY/D78nEO24LSoCRrgRfRVYdXV9X90H1AAc9dxjyOSNcN40G6LxJfBR4e+PK+h9m/gC623wH+E/C37fazVjgf6D5sP5nkliRbWmzFXjO6o03fBP6gnf75viRPWeGcBp3FYz+cVySnqvoG8NvA1+kKSY8At7Cy76U7gJ9L8qwkT6Y7Ynwc/XndtHT+MfBAVd09EDu+/f/+aZJ/3GJr6N6XUwbfo0v5Pnld6wazY+BU5jXAvUNymSm+XJ/Vv0p3tsSUPj2Pw8z0fC2rad85YHFe88Uyyj52pXKcMrh/g349j7B4z9ts/0MaD7347FmAsflu1JffdHPRw999c9HH34Zz0bffjwfT99+Xj3PYF5SSPBX4Y+ANVfXtlcylqn5QVS+kO+J7It1ZFAc0W45ckvwC8GBV3TIYXql8Bry0ql4MnA6cn+Tnlvn+p1tFd2rwJVX1IuC7dKcgrrjWh/kXgT9a4TyOpquoHw/8KPAUutdvumV7L1XVXXTddXYCn6A7/Xz/rCup95L8SbpxsaZfBo8Ev5rH/wi9H/ix9v/7a8AH25GhJfm8O0iOlwB/H3hhy+uiqdVmyGXU+GLkONXmP9P9z3yghZb1eZynFc9lyHeOxXrNF8so+9iVynHY/q1vz+NslvX/Wb3ga7gM+vSbbi769LtvLnr823Au+vb78WB6+/tymFUrncBKSvIEug+eD1TVR1r4gSTHVNX97TTjB5c7r6p6OMkkXV/ao5KsapXfY4H7limNlwK/mG5gyycBT6erSq9UPgBU1X3t74NJPkr3AbySr9keYE9VTR1p/jDdP/yKv4/oPjS/WFUPtNsrldPPA1+rqm8CJPkI8I9Y+ffSpbRTSZP873SvZR9eN81TVf38bMtbl8v/BXjJwDqPAo+267ck+SrwE3Tvh8HuXIPv0Xm/Tw6W40Cu7wU+1m7uoTuDblguw+LfYgH/X3N4HjcDvwCc0rrgLPvzOE+zPY9Lbth3joHP54W+5otixH3sTDnuASamxScXK8fmcfu3vj2PzWI9b7P9D2k8rOhnzyLo/Xejvv6mm4ue/O6bi17+NpyLHv5+PJg+/748wGF7hlKS0P2YvKuq3jmw6BpgamaNzcDVy5TPc/LYbDlH0v0Ivwv4NPDK5c6nqt5UVcdW1Vq608o/VVVnr1Q+AEmekv+fvbuPtqwq73z//cmb+Ar4UheBdGFbsYOhRa0LdNs3fVoilJhuSLfeoLQUhh50G+w2t+lui+SOxvjSw9wRNNEYbBKRwosiTWKoIRhSQc/w2kMQUKR40VBBIgVEEnkJpR1Nmef+seeB7eGcw151ztkvZ38/Y+yx95pr7rXnnGeftfZ65pprJs+ee03v5rC3MaK/GUBV/QVwb5KXtqQTgDtGWaY+86/EGFWZvg0cn+QZ7f9uro1G9l0CSPLC9vwT9IIMn2I8/m5aPT8LfKOqHh8+0va9+7TXL6Z3c/a726XEjyU5vn1vz+CJ78OqfE/aj4M5P09v/zb3eaclOSDJka2MXwFuBDakN8PK/vT21dtakGdV/r+SbALeCfyLqvp+X/rYtOMSFmyvVf5MYPHfHCv1N1+hMnY9xm4DzkjP8cCj7e99LXBikoPTu0L1xJa2kn7s+DZO7dhnRdrtKf6HNBlGtu9ZIWP922jczukGMW7nfYMYx3PDQYzj+eNTGfPzyyerMbgz+CgewD+hd0nercAt7XEyvbGg1wF3tedDhlSefwh8rZXnNp6YgejF9H787KR3afcBI2irGZ64k//IytM+++vtcTvwqy19JH+zvnIdA9zU/nZ/SG92llGX6RnAd4Hn9qWNrEzArwHfaN/tT9CbcWek323g/6O3c/46vSstRv5d8rHqf/NLgH83L+1ftf3J14GvAv+8b93G9p39M+C3gazm96T9b+xo+5JtwKF96361leOb9M3w1I5bf9rW/Wpf+qr8f7Xt3csTx82Pjls7PkX5F2yvIXzuYr85VuxvvgJl7HSMpTfU4SOtHDuAjX3b+sX2XdkJvHWF23Kh49tI25FecOsB4G/p9SyftZLtttj/kI/JeYxq37MX5Rz4uzwujyX2r2Nbbsb4vG/A8s8wBueGA5Z1LM8fByj32J1fLvaY+1EnSZIkSZIkDWRqh7xJkiRJkiRp7xhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJapJckuS9oy6HJGn0hnlMSHJ6kj8exmdJksZfkkryklGXQ3oqBpQkSZKGJMn6dqKw71xaVV1WVSeOslySJEldGVCSJElaIUn2GXUZJEmShsGAkqZWklck+WqSx5J8Gnh6Sz84yWeT/GWSh9vrw9u6Nya5ed52zk3yhyOogiRphSxxTDgzyZfm5X18KEIbGndhkmuSfA/4Z0len+RrSf46yb1J3tX39i+250eS7E7yj+Z/RpJ/nOTGJI+253/ct242yXuS/M9W1j9O8vxVahZJ0gpJck+S85Lc0c4xPp5k7ljzn5M8kOT+JL84732LHlOSXJ3k38/Lf2uSU9PzwSQPtuPJrUl+eiiV1dQwoKSplGR/4A+BTwCHAP8D+Fdt9dOAjwN/D/gJ4H8Bv93WbQOOTPJTfZv71207kqQJ9BTHhEG8GXgf8GzgS8D3gDOAg4DXA29LcmrL+zPt+aCqelZVfXleWQ4BrgY+BDwP+ABwdZLnzfu8twIvBPYH/lOHskqSRud04CTg7wM/CfzfSTbR24+/FtgA/Oy89yx1TNlK71wEgCQvBw4DrgFOpHfM+cn23l8AvrsqtdLUMqCkaXU8sB/wm1X1t1V1JXAjQFV9t6p+v6q+X1WP0TtJ+Kdt3Q+AT9N23EleBqwHPjv8KkiSVsiix4QBXVVV/7Oq/q6q/qaqZqtqR1u+FfgU7TgygNcDd1XVJ6pqT1V9CvgG8M/78ny8qv60qv4XcAVwTIeySpJG57er6t6qeojeOcabgP+T3n79tqr6HvCu/jc8xTHlKmBDkg1t+S3Ap6vqh8Df0uvo+AdAqurOqnpgtSuo6WJASdPqRcB9VVV9aX8OkOQZSf57kj9P8tf0hicc1HdfjK3Am5OE3k77ihZokiRNpkWPCQO6t38hyXFJvtCGTj8K/Dtg0GFpL1rgs/+cXo/znL/oe/194FkdyipJGp3+48Wf09vnv2iB9MctdUxp5yBXAP86ydPoBag+0dZ9nt4oi48A30lyUZLnrE61NK0MKGlaPQAc1oJCc36iPZ8LvBQ4rqqewxPDEwJQVdcDPwT+D3rDDhzuJkmTbaljwveAZ8wlJvnfFnh/zVv+JL0h0kdU1XOBj9KOIQvkne9+ekOu+/0EcN9TvE+SNP6O6Hv9E/T2+Q8skN5vqWMK9Dq7TwdOAL7fP5S6qpjiORoAACAASURBVD5UVa8CXkZv6Nt/XqF6SIABJU2vLwN7gP+QZN8k/xI4tq17Nr37Jj3S7mVx/gLvv5RexH9PVX1pgfWSpMmx1DHh68DLkhzTbp76rgG292zgoar6myTH0ut8mPOXwN8BL17kvdcAP5nkza0svwAchUOrJWktOCfJ4e0c41fo3UrjCuDMJEcleQZPPvdY6phCCyD9HXABfR3dSf73dnXTfvQ6R/4G+NFqVUzTyYCSplIbV/wvgTOBh+ndpO4P2urfBA4E/gq4HvijBTbxCeCn8eokSZp4Sx0TqupPgXcDfwLcRe+m20/ll4B3J3kM+K/0ThbmPuv79O6b8T+TPJLk+Hll+S7wc/Sulv0u8F+An6uqv1pGFSVJ4+GTwB8Dd7fHe6vqc/TOPz4P7GzP/RY9pvS5FDga+H/70p4D/C6949qf0zum/MaK1USid3OuUZdBmjhJDgQeBF5ZVXeNujySJEmSxleSe4B/U1V/sgrbPgM4u6r+yUpvW1qKVyhJe+dtwI0GkyRJkiSNShsm90vARaMui6bPvqMugDRpWu9CgFNHXBRJkiRJUyrJSfSGaP8JveF00lA55E2SJEmSJEmdOORNkiRJkiRJnUzskLfnP//5tX79+seXv/e97/HMZz5zdAVaBss+GpZ9NCz74m6++ea/qqoXrNoH6EnmH0sGNcnf40FZx7VjGuppHZ/gsWT4PJbsvWlvg2mvP9gGMJ5tMOixZGIDSuvXr+emm256fHl2dpaZmZnRFWgZLPtoWPbRsOyLS/Lnq7ZxLWj+sWRQk/w9HpR1XDumoZ7W8QkeS4bPY8nem/Y2mPb6g20A49kGgx5LHPImSZIkSZKkTgwoSZIkSZIkqRMDSpIkSZIkSerEgJIkSZIkSZI6MaAkSZIkSZKkTgwoSZIkSZIkqRMDSpIkSZIkSerEgJIkSZIkSZI6MaAkSZIkSZKkTvYddQEk/bj1W65+yjznHr2HMwfIN4h73v/6FdmONE123Pfoiv0PDsL/U0laezyWSJp0y7pCKclBSa5M8o0kdyb5R0kOSbI9yV3t+eCWN0k+lGRnkluTvLJvO5tb/ruSbF5upSRJkiRJkrR6ljvk7beAP6qqfwC8HLgT2AJcV1UbgOvaMsDrgA3tcTZwIUCSQ4DzgeOAY4Hz54JQkiRJkiRJGj97HVBK8hzgZ4CPAVTVD6vqEeAUYGvLthU4tb0+Bbi0eq4HDkpyKHASsL2qHqqqh4HtwKa9LZckSZIkSZJW13LuofRi4C+Bjyd5OXAz8A5gXVU9AFBVDyR5Yct/GHBv3/t3tbTF0p8kydn0rm5i3bp1zM7OPr5u9+7dP7Y8SSz7aIxr2c89es9T5ll34GD5BjHsNhjXdh/EJJddkiRJklbScgJK+wKvBP59Vd2Q5Ld4YnjbQrJAWi2R/uTEqouAiwA2btxYMzMzj6+bnZ2lf3mSWPbRGNeyD3JzxnOP3sMFO1bmnvr3nD6zItsZ1Li2+yAmueySJEmStJKWcw+lXcCuqrqhLV9JL8D0nTaUjfb8YF/+I/refzhw/xLpkiRJkiRJGkN7HVCqqr8A7k3y0pZ0AnAHsA2Ym6ltM3BVe70NOKPN9nY88GgbGnctcGKSg9vNuE9saZIkSZIEQJKnJ/lKkq8nuT3Jr7X0S5J8K8kt7XFMS+88y3SSVyXZ0d7zoSQLjaaQJLG8IW8A/x64LMn+wN3AW+kFqa5IchbwbeCNLe81wMnATuD7LS9V9VCS9wA3tnzvrqqHllkuSZIkSWvLD4DXVNXuJPsBX0ryubbuP1fVlfPy988yfRy9WaaP65tleiO9W23cnGRbmyDoQnr3bL2e3vnLJuBzSJKeZFkBpaq6hd6OeL4TFshbwDmLbOdi4OLllEWSJEnS2tXOJ3a3xf3aY8F7rzaPzzINXJ9kbpbpGdos0wBJtgObkswCz6mqL7f0S+nNWG1ASZIWsDJ39ZUkaQlJng58ETiA3rHnyqo6P8klwD8FHm1Zz6yqW9oQg9+id2Xr91v6V9u2NgP/d8v/3qra2tJfBVwCHEivV/kd7SRCkrRGJNmH3uzSLwE+0iYHehvwviT/FbgO2FJVP6D7LNOHtdfz0xcqx6KzTw9qJWftHcQ4zlQ77TPoTnv9wTaAyW4DA0qSpGFwmIIkadmq6kfAMUkOAj6T5KeB84C/APanNyP0O4F3032W6RWZfXpQH77sqhWbtXcQw57ZdxDTPoPutNcfbAOY7DZYzixvkiQNpHr2aphCVV0PzA1TOIk2TKEFkeaGKRxKG6bQrkqaG6YgSVqDquoRYBbYVFUPtOPFD4CPA8e2bF1nmd7VXs9PlyQtwICSJGkokuyT5BbgQXpBoRvaqve12Xc+mOSAlrZqwxQkSZMpyQvalUkkORD4WeAbrVOBNlz6VOC29pZOs0y3dY8lOb5t6wyemLFakjSPQ94kSUMxLsMUvO/FYCZ5PP+gpqGOMB31tI5T41Bga7uP0tOAK6rqs0k+n+QF9I4FtwD/ruXfm1mm38YT9+P7HA6dlqRFGVCSJA1VVT3SZtLZVFW/0ZJ/kOTjwH9qy0sNR5iZlz5Lh2EK3vdiMJM8nn9Q01BHmI56WsfpUFW3Aq9YIP01i+TvPMt0Vd0E/PTySipJ08Ehb5KkVecwBUmSJGlt8QolSdIwOExBkiRJWkMMKEmSVp3DFCRJkqS1xSFvkiRJkiRJ6sSAkiRJkiRJkjpxyJukNW39lqtXbFvnHr2HMwfY3j3vf/2KfaYkSZIkjSOvUJIkSZIkSVInBpQkSZIkSZLUiQElSZIkSZIkdWJASZIkSZIkSZ0YUJIkSZIkSVInBpQkSZIkSZLUiQElSZIkSZIkdbLvqAsgjbv1W64edREkSZIkSRorXqEkSZIkSZKkTgwoSZIkSZIkqRMDSpIkSZIkSerEgJIkSZIkSZI6MaAkSZIkSZKkTgwoSZIkSZIkqZNlBZSS3JNkR5JbktzU0g5Jsj3JXe354JaeJB9KsjPJrUle2bedzS3/XUk2L69KkiRJktaaJE9P8pUkX09ye5Jfa+lHJrmhnUt8Osn+Lf2AtryzrV/ft63zWvo3k5zUl76ppe1MsmXYdZSkSbISVyj9s6o6pqo2tuUtwHVVtQG4ri0DvA7Y0B5nAxdCLwAFnA8cBxwLnD8XhJIkSZKk5gfAa6rq5cAxwKYkxwO/DnywnX88DJzV8p8FPFxVLwE+2PKR5CjgNOBlwCbgd5Lsk2Qf4CP0zluOAt7U8kqSFrAaQ95OAba211uBU/vSL62e64GDkhwKnARsr6qHquphYDu9HbskSZIkAdDOI3a3xf3ao4DXAFe29PnnH3PnJVcCJyRJS7+8qn5QVd8CdtLr2D4W2FlVd1fVD4HLW15J0gL2Xeb7C/jjJAX896q6CFhXVQ8AVNUDSV7Y8h4G3Nv33l0tbbF0SdIakeTpwBeBA+gde66sqvOTHEnvB/shwFeBt1TVD5McAFwKvAr4LvALVXVP29Z59HqdfwT8h6q6tqVvAn4L2Af4vap6/xCrKEkagnYV0c3AS+hdTfRnwCNVtadl6T+XePw8o6r2JHkUeF5Lv75vs/3vmX9ectwi5Tib3qgL1q1bx+zsbOe6rDsQzj16z1NnXCF7U8bVtnv37rEs17BMe/3BNoDJboPlBpReXVX3t6DR9iTfWCJvFkirJdKfvIEldtyT/EdYybLvuO/RFdnOoI587j5rvt2HeaAf1Er+ABn232/Y/6sr+fcbtN0n9X9ilc0NU9idZD/gS0k+B/xHesMULk/yUXqBogvpG6aQ5DR6wxR+Yd4whRcBf5LkJ9tnfAR4Lb0TgBuTbKuqO4ZZSUnS6qqqHwHHJDkI+AzwUwtla89dzz8WGr2x4HlJ60i/CGDjxo01MzOzdMEX8OHLruKCHcs9HRvcPafPDO2zBjU7O8vetN1aMe31B9sAJrsNlrUHq6r72/ODST5D7zLR7yQ5tF2ddCjwYMu+Czii7+2HA/e39Jl56bOLfN6iO+5J/iOsZNnP3HL1imxnUJdseuaab/dht+kgzj16z4r9ABn2j4th/6+u5N9v0HYfxx9so1ZVBSw2TOHNLX0r8C56AaVT2mvoDVP47fnDFIBvJZkbpgBtmAJAkrlhCgaUJGkNqqpHkswCx9O7lca+7SqluXMMeOL8Y1eSfYHnAg+x+HkJS6RLkubZ6zPSJM8EnlZVj7XXJwLvBrYBm4H3t+er2lu2AW9vP/KPAx5tQadrgf/WdyPuE4Hz9rZc42b9ACez5x69ZyyDFpK0khymsPdGcdXbJF/5O6hpqCNMRz2t43RI8gLgb1sw6UDgZ+ldwfoF4A30hlDPP//YDHy5rf98VVWSbcAnk3yA3tWuG4Cv0LtyaUMbjn0fvSti5zo9JEnzLOcSh3XAZ3odxuwLfLKq/ijJjcAVSc4Cvg28seW/BjiZ3k3vvg+8FaCqHkryHuDGlu/dVfXQMsolSRpDDlPYe6O46m2Sr/wd1DTUEaajntZxahwKbG0dFE8Drqiqzya5A7g8yXuBrwEfa/k/BnyiXc36EL0AEVV1e5Ir6F3Fugc4px2jSPJ24Fp69+O7uKpuH171JGmy7PWv4Tas4OULpH8XOGGB9ALOWWRbFwMX721ZJEmTw2EKkqS9UVW3Aq9YIP1unhj+3J/+NzzRuT1/3fuA9y2Qfg29jnBJ0lNYqEdXkqQVleQF7cok+oYp3MkTwxRg4WEK0DdMoaWfluSANiRhbpjCjbRhCkn2p9cLvW31ayZJkiRNp+Fdry9JmmYOU5AkSZLWEANKmjiD3Oh8EN4MXRoehylIkiRJa4tD3iRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJYy/JEUm+kOTOJLcneUdLf1eS+5Lc0h4n973nvCQ7k3wzyUl96Zta2s4kW/rSj0xyQ5K7knw6yf7DraUkTQ4DSpIkSZImwR7g3Kr6KeB44JwkR7V1H6yqY9rjGoC27jTgZcAm4HeS7JNkH+AjwOuAo4A39W3n19u2NgAPA2cNq3KSNGkMKEmSJEkae1X1QFV9tb1+DLgTOGyJt5wCXF5VP6iqbwE7gWPbY2dV3V1VPwQuB05JEuA1wJXt/VuBU1enNpI0+QwoSZJWncMUJEkrKcl64BXADS3p7UluTXJxkoNb2mHAvX1v29XSFkt/HvBIVe2Zly5JWsC+oy6AJGkqzA1T+GqSZwM3J9ne1n2wqn6jP/O8YQovAv4kyU+21R8BXkvvh/6NSbZV1R08MUzh8iQfpTdM4cJVr5kkaaiSPAv4feCXq+qvk1wIvAeo9nwB8ItAFnh7sXCnei2Rf6EynA2cDbBu3TpmZ2c71gLWHQjnHr3nqTOukL0p42rbvXv3WJZrWKa9/mAbwGS3gQElSdKqq6oHgAfa68eSDDxMAfhWkrlhCtCGKQAkmRumcCe9YQpvbnm2Au/CgJIkrSlJ9qMXTLqsqv4AoKq+07f+d4HPtsVdwBF9bz8cuL+9Xij9r4CDkuzbrlLqz/9jquoi4CKAjRs31szMTOe6fPiyq7hgx/BOx+45fWZonzWo2dlZ9qbt1opprz/YBjDZbWBASZI0VPOGKbya3jCFM4Cb6F3F9DC9YNP1fW/rH3Ywf5jCcXQYpmCv8mAmubdsUNNQR5iOelrH6dDucfQx4M6q+kBf+qGt4wLg54Hb2uttwCeTfIDe1a4bgK/QuxJpQ5IjgfvoXRH75qqqJF8A3kDvvkqbgatWv2aSNJmWHVBqsyTcBNxXVT/XdsyXA4cAXwXeUlU/THIAcCnwKuC7wC9U1T1tG+fRG5rwI+A/VNW1yy2XJGn8jMMwBXuVBzPJvWWDmoY6wnTU0zpOjVcDbwF2JLmlpf0KvVnajqG3378H+LcAVXV7kiuAO+gNvT6nqn4EkOTtwLXAPsDFVXV72947gcuTvBf4Gr0AliRpASvxa/gd9GZYeE5bXuweFmcBD1fVS5Kc1vL9wmL3yZjb2UuS1oZxGaYgSZpMVfUlFu5AuGaJ97wPeN8C6dcs9L42pPrY+emSpCdb1ixvSQ4HXg/8XlteaqrNU9oybf0JLf9i03lKktaIpYYp9GWbP0zhtCQHtCtf54Yp3EgbptBmcTsN2FZVBcwNUwCHKUiSJEmrarlXKP0m8F+AZ7flpe5h8fj0nFW1J8mjLf9S98n4MUvd92Jcx5UPco+NYd+LYyWNot1Xqq0mud1XsuzD/vsN+zuzkn/jQdt9HPdFY8BhCpIkSdIastcBpSQ/BzxYVTcnmZlLXiBrPcW6FbnvxbiOKz9zy9VPmefco/cM9V4cK+mSTc8cersP0qaDmOR2X8myD/veLMP+X12p7wsM3u7jOIvKqDlMQZIkSVpblnNG+mrgXyQ5GXg6vXso/SaL38Ni7n4Yu5LsCzwXeIil75MhSZIkSZKkMbPX91CqqvOq6vCqWk/vHhafr6rTWfweFtvaMm3959s9Lxa7T4YkSZIkSZLG0GqM91nsHhYfAz6RZCe9K5NOg6XvkyFJkiRJkqTxsyIBpaqaBWbb6wXvYVFVfwO8cZH3L3ifDEmSJEmSJI2fvR7yJkmSJEmSpOlkQEmSJEmSJEmdGFCSJEmSJElSJwaUJEmSJEmS1IkBJUmSJEmSJHViQEmSJEmSJEmdGFCSJEmSJElSJwaUJEmSJEmS1IkBJUmSJEmSJHViQEmSJEmSJEmdGFCSJEmSJElSJwaUJEmSJEmS1IkBJUmSJEmSJHViQEmSJEmSJEmdGFCSJEmSNPaSHJHkC0nuTHJ7kne09EOSbE9yV3s+uKUnyYeS7Exya5JX9m1rc8t/V5LNfemvSrKjvedDSTL8mkrSZNh31AXQZNtx36OcueXqURdDkiRJa98e4Nyq+mqSZwM3J9kOnAlcV1XvT7IF2AK8E3gdsKE9jgMuBI5LcghwPrARqLadbVX1cMtzNnA9cA2wCfjcEOsoSRPDK5QkSavOXmVJ0nJV1QNV9dX2+jHgTuAw4BRga8u2FTi1vT4FuLR6rgcOSnIocBKwvaoeakGk7cCmtu45VfXlqirg0r5tSZLm8QolSdIw2KssSVoxSdYDrwBuANZV1QPQCzoleWHLdhhwb9/bdrW0pdJ3LZC+0OefTe+Yw7p165idne1ch3UHwrlH7+n8vr21N2Vcbbt37x7Lcg3LtNcfbAOY7DYwoCRJWnXth/7cj/3HkvT3Ks+0bFuBWXoBpcd7lYHrk8z1Ks/QepUBWlBqU5JZWq9yS5/rVTagJElrTJJnAb8P/HJV/fUSF6QutKL2Iv3JiVUXARcBbNy4sWZmZp6i1E/24cuu4oIdwzsdu+f0maF91qBmZ2fZm7ZbK6a9/mAbwGS3gQElSdJQ2avc3Sh6rSa5t2xQ01BHmI56WsfpkWQ/esGky6rqD1ryd5Ic2o4jhwIPtvRdwBF9bz8cuL+lz8xLn23phy+QX5K0AANKkqShsVd574yiV3mSe8sGNQ11hOmop3WcDu3eeB8D7qyqD/St2gZsBt7fnq/qS397ksvpDZ9+tAWdrgX+29x9+4ATgfOq6qEkjyU5nl6nxxnAh1e9YpI0oQwoSZKGwl5lSdIyvRp4C7AjyS0t7VfoBZKuSHIW8G3gjW3dNcDJwE7g+8BbAVrg6D3AjS3fu+eGUgNvAy4BDqQ3bNqh05K0CANKkqRVZ6+yJGm5qupLLHxFKsAJC+Qv4JxFtnUxcPEC6TcBP72MYkrS1DCgJEkaBnuVJUmSpDXEgJIkadXZqyxJkiStLU8bdQEkSZIkSZI0WfY6oJTk6Um+kuTrSW5P8mst/cgkNyS5K8mnk+zf0g9oyzvb+vV92zqvpX8zyUnLrZQkSZIkSZJWz3KuUPoB8JqqejlwDLCp3Qz114EPVtUG4GHgrJb/LODhqnoJ8MGWjyRHAacBLwM2Ab+TZJ9llEuSJEmSJEmraK8DStWzuy3u1x4FvAa4sqVvBU5tr09py7T1J7RZf04BLq+qH1TVt+jdgPXYvS2XJEmSJEmSVteybsrdriS6GXgJ8BHgz4BHqmpPy7ILOKy9Pgy4F6Cq9iR5FHheS7++b7P975n/eWcDZwOsW7eO2dnZx9ft3r37x5bHxblH73nKPOsOHCzfOLLso7GSZR/2/82w/1dX8m88aLuP475IkiRJklbSsgJKVfUj4JgkBwGfAX5qoWzteaHZfWqJ9IU+7yLgIoCNGzfWzMzM4+tmZ2fpXx4XZ265+inznHv0Hi7YMZkT7ln20VjJst9z+syKbGdQw/5fHeR/cFCDtvuw21SSJEmShm1FZnmrqkeAWeB44KAkc2dchwP3t9e7gCMA2vrnAg/1py/wHkmSJEmSJI2Z5czy9oJ2ZRJJDgR+FrgT+ALwhpZtM3BVe72tLdPWf76qqqWf1maBOxLYAHxlb8slSZIkSZKk1bWcMTOHAlvbfZSeBlxRVZ9NcgdweZL3Al8DPtbyfwz4RJKd9K5MOg2gqm5PcgVwB7AHOKcNpZO0Bu2479EVHYYmSZIkSRq+vQ4oVdWtwCsWSL+bBWZpq6q/Ad64yLbeB7xvb8siSZIkSZKk4VmReyhJkiRJkiRpehhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJ0thLcnGSB5Pc1pf2riT3JbmlPU7uW3dekp1JvpnkpL70TS1tZ5ItfelHJrkhyV1JPp1k/+HVTpImjwElSZIkSZPgEmDTAukfrKpj2uMagCRHAacBL2vv+Z0k+yTZB/gI8DrgKOBNLS/Ar7dtbQAeBs5a1dpI0oQzoCRJWnX2KkuSlquqvgg8NGD2U4DLq+oHVfUtYCdwbHvsrKq7q+qHwOXAKUkCvAa4sr1/K3DqilZAktaYfUddAEnSVLgE+G3g0nnpH6yq3+hPmNer/CLgT5L8ZFv9EeC1wC7gxiTbquoOnuhVvjzJR+n1Kl+4WpWRJI2Vtyc5A7gJOLeqHgYOA67vy7OrpQHcOy/9OOB5wCNVtWeB/E+S5GzgbIB169YxOzvbudDrDoRzj97z1BlXyN6UcbXt3r17LMs1LNNef7ANYLLbYOoCSuu3XD3qIkjS1KmqLyZZP2D2x3uVgW8lmetVhtarDJBkrlf5Tnq9ym9uebYC78KAkiRNgwuB9wDVni8AfhHIAnmLhUdo1BL5F1RVFwEXAWzcuLFmZmY6FRrgw5ddxQU7hnc6ds/pM0P7rEHNzs6yN223Vkx7/cE2gMlug6kLKEmSxoq9ygMYRa/VJPeWDWoa6gjTUU/rOL2q6jtzr5P8LvDZtrgLOKIv6+HA/e31Qul/BRyUZN92POnPL0lagAElSdKo2Ks8oFH0Kk9yb9mgpqGOMB31tI7TK8mhVfVAW/x5YO5efduATyb5AL3h0xuAr9A7ZmxIciRwH70h1m+uqkryBeAN9O6rtBm4ang1kaTJY0BJkjQS9ipLkrpI8ilgBnh+kl3A+cBMkmPodSTcA/xbgKq6PckVwB3AHuCcqvpR287bgWuBfYCLq+r29hHvBC5P8l7ga8DHhlQ1SZpIBpQkSSNhr7IkqYuqetMCyYsGfarqfcD7Fki/BrhmgfS7eeKefZKkp2BASZK06uxVliRJktYWA0qSpFVnr7IkSZK0tix0g1NJkiRJkiRpUQaUJEmSJEmS1IkBJUmSJEmSJHXiPZSkKbd+y9VD/bxzjx7qx0mSJEmSVoFXKEmSJEmSJKkTA0qSJEmSJEnqxICSJEmSJEmSOtnrgFKSI5J8IcmdSW5P8o6WfkiS7Unuas8Ht/Qk+VCSnUluTfLKvm1tbvnvSrJ5+dWSJEmSJEnSalnOFUp7gHOr6qeA44FzkhwFbAGuq6oNwHVtGeB1wIb2OBu4EHoBKOB84DjgWOD8uSCUJEmSJEmSxs9eB5Sq6oGq+mp7/RhwJ3AYcAqwtWXbCpzaXp8CXFo91wMHJTkUOAnYXlUPVdXDwHZg096WS5IkSZIkSatr35XYSJL1wCuAG4B1VfUA9IJOSV7Ysh0G3Nv3tl0tbbH0hT7nbHpXN7Fu3TpmZ2cfX7d79+4fW17MuUfveeoKDdm6A8ezXIOw7KNh2Udj0LIPsi+SJEmSpEm27IBSkmcBvw/8clX9dZJFsy6QVkukPzmx6iLgIoCNGzfWzMzM4+tmZ2fpX17MmVuufso8w3bu0Xu4YMeKxPaGzrKPhmUfjUHLfs/pM6tfGEmSJEkaoWXN8pZkP3rBpMuq6g9a8nfaUDba84MtfRdwRN/bDwfuXyJdkiRJkiRJY2g5s7wF+BhwZ1V9oG/VNmBuprbNwFV96We02d6OBx5tQ+OuBU5McnC7GfeJLU2SJEmSJEljaDnjTl4NvAXYkeSWlvYrwPuBK5KcBXwbeGNbdw1wMrAT+D7wVoCqeijJe4AbW753V9VDyyiXJEmSJEmSVtFeB5Sq6kssfP8jgBMWyF/AOYts62Lg4r0tiyRJkiRJkoZnWfdQkiRJkiRJ0vQxoCRJkiRJkqRODChJkiRJGntJLk7yYJLb+tIOSbI9yV3t+eCWniQfSrIzya1JXtn3ns0t/11JNvelvyrJjvaeD7VJiCRJizCgJEmSJGkSXAJsmpe2BbiuqjYA17VlgNcBG9rjbOBC6AWggPOB44BjgfPnglAtz9l975v/WZKkPgaUJEmrzl5lSdJyVdUXgfmzQZ8CbG2vtwKn9qVfWj3XAwclORQ4CdheVQ9V1cPAZvcUiwAAIABJREFUdmBTW/ecqvpym0zo0r5tSZIWYEBJkjQMl2CvsiRp5a2rqgcA2vMLW/phwL19+Xa1tKXSdy2QLklaxL6jLoAkae2rqi8mWT8v+RRgpr3eCswC76SvVxm4Pslcr/IMrVcZIMlcr/IsrVe5pc/1Kn9u9WokSRpzC12pWnuRvvDGk7PpdWSwbt06ZmdnOxdw3YFw7tF7Or9vb+1NGVfb7t27x7JcwzLt9QfbACa7DQwoSZJG5cd6lZMMpVfZk4DBTPKPm0FNQx1hOuppHafad5Ic2o4jhwIPtvRdwBF9+Q4H7m/pM/PSZ1v64QvkX1BVXQRcBLBx48aamZlZLOuiPnzZVVywY3inY/ecPjO0zxrU7Owse9N2a8W01x9sA5jsNjCgJEkaN6vaq+xJwGAm+cfNoKahjjAd9bSOU20bsBl4f3u+qi/97UkupzdU+tEWdLoW+G99Q6ZPBM6rqoeSPJbkeOAG4Azgw8OsiCRNGu+hJEkale+03mQ69Covlj5wr7IkaTIl+RTwZeClSXYlOYteIOm1Se4CXtuWAa4B7gZ2Ar8L/BJAGzb9HuDG9nj33FBq4G3A77X3/BkOnZakJXmFkiRpVOxVliQNrKretMiqExbIW8A5i2znYuDiBdJvAn56OWWUpGliQEmStOpar/IM8Pwku+jN1vZ+4IrWw/xt4I0t+zXAyfR6iL8PvBV6vcpJ5nqV4cm9ypcAB9LrUbZXWZIkSVpFBpQkSavOXmVJkiRpbfEeSpIkSZIkSerEgJIkSZIkSZI6MaAkSZIkSZKkTgwoSZIkSZIkqRMDSpIkSZIkSerEgJIkSZIkSZI6MaAkSZIkSZKkTgwoSZIkSZIkqRMDSpIkSZIkSerEgJIkSZIkSZI6MaAkSZIkSZKkTgwoSZIkSZIkqRMDSpIkSZIkSepkWQGlJBcneTDJbX1phyTZnuSu9nxwS0+SDyXZmeTWJK/se8/mlv+uJJuXUyZJkiRJkiStruVeoXQJsGle2hbguqraAFzXlgFeB2xoj7OBC6EXgALOB44DjgXOnwtCSZIkSZIkafwsK6BUVV8EHpqXfAqwtb3eCpzal35p9VwPHJTkUOAkYHtVPVRVDwPbeXKQSpIkSZIkSWNi31XY5rqqegCgqh5I8sKWfhhwb1++XS1tsfQnSXI2vaubWLduHbOzs4+v2717948tL+bco/cMWI3hWXfgeJZrEJZ9NCz7aAxa9kH2RZIkSZI0yVYjoLSYLJBWS6Q/ObHqIuAigI0bN9bMzMzj62ZnZ+lfXsyZW65+6pIO2blH7+GCHcP8U6wcyz4aln00Bi37PafPrH5hJEmSJGmEVmOWt++0oWy05wdb+i7giL58hwP3L5EuSZIkSZKkMbQaAaVtwNxMbZuBq/rSz2izvR0PPNqGxl0LnJjk4HYz7hNbmiRpCiS5J8mOJLckuamlOWOoJGlgHkskafiWFVBK8ingy8BLk+xKchbwfuC1Se4CXtuWAa4B7gZ2Ar8L/BJAVT0EvAe4sT3e3dIkSdPjn1XVMVW1sS07Y6gkqSuPJZI0RMu6kUlVvWmRVScskLeAcxbZzsXAxcspiyRpTTkFmGmvtwKzwDvpmzEUuD7J3IyhM7QZQwGSzM0Y+qnhFluSNEY8lkjSKprMO+NKktaSAv44SQH/vU3AsGozhkqS1qShHkuWmn16UMOe+XYcZ6EddKbutWra6w+2AUx2GxhQkiSN2qur6v72Q397km8skXfZM4Z6EjCYSf5xM6hpqCNMRz2toxjysWSp2acH9eHLrhrqzLfjOAvtoDN1r1XTXn+wDWCy28CAkiRppKrq/vb8YJLP0LtvxXeSHNp6lAedMXRmXvrsIp/nScAAJvnHzaCmoY4wHfW0jhr2sUSStDqzvEmSNJAkz0zy7LnX9Gb6vA1nDJUkDchjiSSNhlcoSZJGaR3wmSTQOyZ9sqr+KMmNwBVt9tBvA29s+a8BTqY3Y+j3gbdCb8bQJHMzhoIzhkrSNPFYIkkjYEBJkjQyVXU38PIF0r+LM4Y+bv2Wq4f6efe8//VD/TxJWg6PJZI0Gg55kyRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUicGlCRJkiRJktSJASVJkiRJkiR1YkBJkiRJkiRJnRhQkiRJkiRJUif7jroAkiRJkqTVtX7L1aMuwpOce/Qezlyhct3z/tevyHYkDc4rlCRJkiRJktSJVyhJkiRJkibaKK7A8qooTTuvUJIkSZIkSVInBpQkSZIkSZLUiUPeJEmSJEnqaLnD7LrelNwhdho3BpQkSdKPWb/l6hWdeeep+ANZkiRp8ozNkLckm5J8M8nOJFtGXR5J0uTxWCJJWi6PJZI0mLEIKCXZB/gI8DrgKOBNSY4abakkSZPEY4kkabk8lkjS4MZlyNuxwM6quhsgyeXAKcAdIy2VJGmSeCyZUE71LGmMeCyRpAGlqkZdBpK8AdhUVf+mLb8FOK6q3j4v39nA2W3xpcA3+1Y/H/irIRR3NVj20bDso2HZF/f3quoFq7j9NW2FjiWDmuTv8aCs49oxDfW0jk/wWLIMHkuGbtrbYNrrD7YBjGcbDHQsGZcrlLJA2pMiXVV1EXDRghtIbqqqjStdsGGw7KNh2UfDsmsVLftYMvAHTcF3wTquHdNQT+uoFeSxZIimvQ2mvf5gG8Bkt8FY3EMJ2AUc0bd8OHD/iMoiSZpMHkskScvlsUSSBjQuAaUbgQ1JjkyyP3AasG3EZZIkTRaPJZKk5fJYIkkDGoshb1W1J8nbgWuBfYCLq+r2jptZ1iWnI2bZR8Oyj4Zl16pYoWPJoKbhu2Ad145pqKd11IrwWDJ0094G015/sA1ggttgLG7KLUmSJEmSpMkxLkPeJEmSJEmSNCEMKEmSJEmSJKmTNRFQSrIpyTeT7EyyZdTl6SLJPUl2JLklyU2jLs9Sklyc5MEkt/WlHZJke5K72vPBoyzjYhYp+7uS3Nfa/pYkJ4+yjItJckSSLyS5M8ntSd7R0se+7Zco+9i3fZKnJ/lKkq+3sv9aSz8yyQ2t3T/dbtipKTHJxxvoth9Pz4daXW9N8sq+92xu+e9KsnkUdVlM133mJNaz6/4pyQFteWdbv75vW+e19G8mOWk0NVpckn2SfC3JZ9vyWqzjk34LrqXvqxY26ceTQazk/niSrcR+bJIlOSjJlUm+0b4L/2gKvwP/V/sfuC3Jp9pxfG18D6pqoh/0bpb3Z8CLgf2BrwNHjbpcHcp/D/D8UZdjwLL+DPBK4La+tP8H2NJebwF+fdTl7FD2dwH/adRlG6DshwKvbK+fDfwpcNQktP0SZR/7tgcCPKu93g+4ATgeuAI4raV/FHjbqMvqY2jfiYk+3rQ6DLwfB04GPtf+F44HbmjphwB3t+eD2+uDR123vvp02mdOYj277p+AXwI+2l6fBny6vT6qfY8PAI5s3+99Rl2/eXX9j8Angc+25bVYx3uY91twLX1ffSz4N5/448mA9VyR/fGkP5a7H5v0B7AV+Dft9f7AQdP0HQAOA74FHNj39z9zrXwP1sIVSscCO6vq7qr6IXA5cMqIy7QmVdUXgYfmJZ9CbydBez51qIUa0CJlnwhV9UBVfbW9fgy4k96Oaezbfomyj73q2d0W92uPAl4DXNnSx7LdtWom/njTcT9+CnBp+1+4HjgoyaHAScD2qnqoqh4GtgObVr/0g9mLfebE1XMv9k/9db8SOCFJWvrlVfWDqvoWsJPe93wsJDkceD3we205rLE6LmHNfF+1oIk/ngxiBffHE2uF9mMTK8lz6HVmfQygqn5YVY8wRd+BZl/gwCT7As8AHmCNfA/WQkDpMODevuVdTMgJa1PAHye5OcnZoy7MXlhXVQ9A76ABvHDE5enq7e1yyoszhkPG5muXPL6CXm/0RLX9vLLDBLR9u0T5FuBBej/O/wx4pKr2tCyTtr/R8kz68WYxi+1LFqvvxLTDgPvMiaxnx/3T43Vp6x8FnseY1xH4TeC/AH/Xlp/H2qsjLPxbcE19X/UkU/f3Wub+eJKtxH5skr0Y+Evg423Y3+8leSZT9B2oqvuA3wC+TS+Q9ChwM2vke7AWAkoLRetq6KXYe6+uqlcCrwPOSfIzoy7QFLkQ+PvAMfT+uS8YbXGWluRZwO8Dv1xVfz3q8nSxQNknou2r6kdVdQxwOL3exJ9aKNtwS6URmvTjTVeL1Xci2qHDPnMi69lx/zRxdUzyc8CDVXVzf/ICWSe2jn26/Bac5HrqCVP191qB/fFEWsH92CTbl95Q+wur6hXA9+gNcVvMmmuD1nF+Cr1h1y8Cnklvfz/fRH4P1kJAaRdwRN/y4cD9IypLZ1V1f3t+EPgMk3EZdr/vzF2G2J4fHHF5BlZV32k/yP8O+F3GuO2T7EfvQHxZVf1BS56Itl+o7JPU9gDt0txZemO5D2qXq8KE7W+0bBN9vFnCYvuSxeo79u3QcZ85sfWEgfdPj9elrX8uvaGP41zHVwP/Isk99IYDvYZeT/9aqiOw6G/BNfl91eOm5u+1QvvjSbVS+7FJtgvYVVVzIxSupBdgmpbvAMDPAt+qqr+sqr8F/gD4x6yR78FaCCjdCGxod0nfn96Nq7aNuEwDSfLMJM+eew2cCNy29LvGzjZgbiaRzcBVIyxLJ/PG4/48Y9r2bczsx4A7q+oDfavGvu0XK/sktH2SFyQ5qL0+kN7B4E7gC8AbWraxbHetmok93jyFxfYl24Az2owrxwOPtsvSrwVOTHJw63U7saWNhb3YZ05cPfdi/9Rf9zcAn6+qaumntRlljgQ2AF8ZTi2WVlXnVdXhVbWe3v/a56vqdNZQHWHJ34Jr5vuqBa3V48mPWcH98URawf3YxKqqvwDuTfLSlnQCcAdT8h1ovg0cn+QZ7X9irg3WxvegxuDO4Mt90Lsb/J/Su3/Ar466PB3K/WJ6szp8Hbh93MsOfIre8KS/pRc5PYveeM7rgLva8yGjLmeHsn8C2AHcSu8f99BRl3ORsv8Tepc53grc0h4nT0LbL1H2sW974B8CX2tlvA34ry39xfRORnYC/wM4YNRl9THU78VEHm/6yj/wfpzeJdcfaXXdAWzs284vtv+BncBbR12veXXstM+cxHp23T8BT2/LO9v6F/dt61db3b8JvG7UdVukvjM8MTvSmqoji/wWXEvfVx+L/u0n+ngyYB1XbH886Y/l7scm+UHvFhc3te/BH9KbiXKqvgPArwHfaMfsT9CbeXRNfA/SCi1JkiRJkiQNZC0MeZMkSZIkSdIQGVCSJEmSJElSJwaUJEmSJEmS1IkBJUmSJEmSJHViQEmSJEmSJEmdGFCSJEmSJElSJwaUJEmSJEmS1IkBJUmSJEmSJHViQEmSJEmSJEmdGFCSJEmSJElSJwaUJEmSJEmS1IkBJUmSJEmSJHViQEmSJEmSJEmdGFCSJEmSJElSJwaUJEmSJEmS1IkBJUmSJEmSJHViQEmSJEmS9P+3d//Bmtb1ffDfn+yK8mgM+Os8lKWBNtsZSWjQ7AAd+8cJOrCgU0hHO1BSNyl9Nk2xNc/wPBUyndKodPQPtNEYJ5u4ETMoUhO7OwZLKHomT+aJCEbiisSyxTVsoNB0wbjaYNd8+sd9bXPneJZzrrNn9/zg9Zq5576uz/W9vvf3sxz+ec/1A2AUgRIAAAAAowiUAAAAABhFoAQAAADAKAIlAAAAAEYRKAEAAAAwikAJAAAAgFEESgAAAACMIlACAAAAYBSBEgAAAACjCJQAAAAAGEWgBAAAAMAoAiUAAAAARhEoAQAAADCKQAkAAACAUQRKAAAAAIwiUAIAAABgFIESAAAAAKMIlAAAAAAYRaAEAAAAwCgCJViCqvp0Ve1Y7XUAAADAWlDdvdprAAAAAGAdcYUSzwlVtXm11wAAAAAbhUCJda2qDlTVjVX1lap6qqp+vapeUFWzVXWwqt5WVf81ya8P499QVQ9U1dNV9f9X1d8e6jdU1Sfmzf2LVfW+YXuuqv7JsP19VfWvqurrVfVkVX2kqn5gODZbVQcXWOPrhu0Lqur+qvqzqnqiqt5zwv+RAAAAYIUJlNgIrklyaZK/meRvJflXQ/3/TPKSJD+YZGdVvTrJ7iQ/k+SlSX4lyd6qen6SjyW5vKpenCRVtSnJP0jy0QV+76eGz48n+RtJXpTkl5a41l9M8ovd/eJhvXeM6BMAAADWBIESG8Evdfej3X0oyc1Jrh7qf5Hkpu5+prv/R5L/K8mvdPe93f3d7r41yTNJLururyf5gyRXDudenOTb3f25BX7vmiTv6e5HuvtwkhuTXLXE2+r+Z5IfqqqXdffhY8wPAAAAa5pAiY3g0antryf5a8P2f+vuP5869oNJrh9ud3u6qp5OctbU+I/mL8Oof5iFr07KMP7r835zc5KZJaz12kyuovqjqrqvqt6whHMAAABgTfGgYjaCs6a2/3qSx4bt+a8wfDTJzd198zHm+fdJbqmqLUl+IsnfOca4xzIJp6Z/80iSJzIJm/6PoweGW+defnS/ux9OcnVVfV+Sv5/kE1X10u7+1rHbAwAAgLXFFUpsBNdV1ZaqekmSn0/y8WOM+9Uk/7SqLqyJF1bV66vq+5Oku/9bkrlMHuD9te5+6BjzfCzJ/11V51TVi5L82yQf7+4jSf5zkhcM8z4vk+c5Pf/oiVX1k1X18u7+iyRPD+XvHk/zAAAAcLIJlNgIPprkd5I8MnzeudCg7r4/k+co/VKSp5Lsz+Th2vPnel2OfbtbMnmw928k+d0kX0vy50n++fAb30jyz5L8WpI/SfKtJNNvfdue5MGqOpzJA7qvmndbHgAAAKx51T3/riBYP6rqQJJ/0t3/abXXAgAAAM8VrlACAAAAYBSBEgAAAACjuOUNAAAAgFFcoQQAAADAKJtXewHL9bKXvazPPvvs0ed961vfygtf+MKVX9Aq0MvatZH60cvJ84UvfOFPu/vlq70OAACAxazbQOnss8/O/fffP/q8ubm5zM7OrvyCVoFe1q6N1I9eTp6q+vpqrwEAAGAp3PIGAAAAwCgCJQAAAABGESgBAAAAMIpACQAAAIBRBEoAAAAAjCJQAgAAAGAUgRIAAAAAowiUAAAAABhFoAQAAADAKJtXewEn274/+UZ+6obfPmm/d+Bdrz9pvwUAAABwMrhCCQAAAIBRBEoAAAAAjCJQAgAAAGAUgRIAAAAAowiUAAAAABhFoAQAAADAKEsOlKpqU1V9sao+NeyfU1X3VtXDVfXxqjplqD9/2N8/HD97ao4bh/pXq+rSqfr2oba/qm5YufYAAAAAWGljrlB6a5KHpvbfneS93b01yVNJrh3q1yZ5qrt/KMl7h3GpqnOTXJXkh5NsT/LLQ0i1KckHklyW5NwkVw9jAQAAAFiDlhQoVdWWJK9P8mvDfiW5OMknhiG3Jrly2L5i2M9w/LXD+CuS3N7dz3T315LsT3LB8Nnf3Y9093eS3D6MBQAAAGAN2rzEcf8uyb9M8v3D/kuTPN3dR4b9g0nOHLbPTPJoknT3kar6xjD+zCSfm5pz+pxH59UvXGgRVbUzyc4kmZmZydzc3BKX/5dmTk2uP+/I4gNXyHLWuFSHDx8+ofOfTBupl2Rj9aMXAAAA5ls0UKqqNyR5sru/UFWzR8sLDO1Fjh2rvtBVUr1ALd29K8muJNm2bVvPzs4uNOxZvf+2Pbll31JztON34JrZEzb33NxclvNvsBZtpF6SjdWPXgAAAJhvKcnKa5L8vaq6PMkLkrw4kyuWTquqzcNVSluSPDaMP5jkrCQHq2pzkh9IcmiqftT0OceqAwAAALDGLPoMpe6+sbu3dPfZmTxU+zPdfU2SzyZ54zBsR5I9w/beYT/D8c90dw/1q4a3wJ2TZGuSzye5L8nW4a1xpwy/sXdFugMAAABgxR3PvV9vS3J7Vb0zyReTfGiofyjJb1TV/kyuTLoqSbr7waq6I8lXkhxJcl13fzdJquotSe5KsinJ7u5+8DjWBQAAAMAJNCpQ6u65JHPD9iOZvKFt/pg/T/KmY5x/c5KbF6jfmeTOMWsBAAAAYHUsessbAAAAAEwTKAEAAAAwikAJAAAAgFEESgAAAACMIlACAAAAYBSBEgAAAACjCJQAAAAAGEWgBAAAAMAoAiUAAAAARhEoAQAAADCKQAkAAACAUQRKAAAAAIwiUAIAAABgFIESAAAAAKMIlAAAAAAYRaAEAAAAwCgCJQAAAABGWTRQqqoXVNXnq+oPq+rBqvqFof7hqvpaVT0wfM4f6lVV76uq/VX1pap69dRcO6rq4eGzY6r+Y1W1bzjnfVVVJ6JZAAAAAI7f5iWMeSbJxd19uKqel+T3qurTw7H/t7s/MW/8ZUm2Dp8Lk3wwyYVV9ZIkNyXZlqSTfKGq9nb3U8OYnUk+l+TOJNuTfDoAAAAArDmLXqHUE4eH3ecNn36WU65I8pHhvM8lOa2qzkhyaZK7u/vQECLdnWT7cOzF3f373d1JPpLkyuPoCQAAAIATaClXKKWqNiX5QpIfSvKB7r63qn42yc1V9a+T3JPkhu5+JsmZSR6dOv3gUHu2+sEF6gutY2cmVzJlZmYmc3NzS1n+XzFzanL9eUdGn7dcy1njUh0+fPiEzn8ybaReko3Vj14AAACYb0mBUnd/N8n5VXVakk9W1Y8kuTHJf01ySpJdSd6W5O1JFnr+US+jvtA6dg2/lW3btvXs7OxSlv9XvP+2Pbll35LaXhEHrpk9YXPPzc1lOf8Ga9FG6iXZWP3oBQAAgPlGveWtu59OMpdke3c/PtzW9kySX09ywTDsYJKzpk7bkuSxRepbFqgDAAAAsAYt5S1vLx+uTEpVnZrkdUn+aHj2UYY3sl2Z5MvDKXuTvHl429tFSb7R3Y8nuSvJJVV1elWdnuSSJHcNx75ZVRcNc705yZ6VbRMAAACAlbKUe7/OSHLr8Byl70tyR3d/qqo+U1Uvz+SWtQeS/NNh/J1JLk+yP8m3k/x0knT3oap6R5L7hnFv7+5Dw/bPJvlwklMzebubN7wBAAAArFGLBkrd/aUkr1qgfvExxneS645xbHeS3QvU70/yI4utBQAAAIDVN+oZSgAAAAAgUAIAAABgFIESAAAAAKMIlAAAAAAYRaAEAAAAwCgCJQAAAABGESgBAAAAMIpACQAAAIBRBEoAAAAAjCJQAgAAAGAUgRIAAAAAowiUAAAAABhFoAQAAADAKAIlAAAAAEYRKAEAAAAwikAJAAAAgFEWDZSq6gVV9fmq+sOqerCqfmGon1NV91bVw1X18ao6Zag/f9jfPxw/e2quG4f6V6vq0qn69qG2v6puWPk2AQAAAFgpS7lC6ZkkF3f3jyY5P8n2qrooybuTvLe7tyZ5Ksm1w/hrkzzV3T+U5L3DuFTVuUmuSvLDSbYn+eWq2lRVm5J8IMllSc5NcvUwFgAAAIA1aNFAqScOD7vPGz6d5OIknxjqtya5cti+YtjPcPy1VVVD/fbufqa7v5Zkf5ILhs/+7n6ku7+T5PZhLAAAAABr0JKeoTRcSfRAkieT3J3kvyR5uruPDEMOJjlz2D4zyaNJMhz/RpKXTtfnnXOsOgAAAABr0OalDOru7yY5v6pOS/LJJK9caNjwXcc4dqz6QqFWL1BLVe1MsjNJZmZmMjc39+wLX8DMqcn15x1ZfOAKWc4al+rw4cMndP6TaSP1kmysfvQCAADAfEsKlI7q7qerai7JRUlOq6rNw1VIW5I8Ngw7mOSsJAeranOSH0hyaKp+1PQ5x6rP//1dSXYlybZt23p2dnbM8pMk779tT27ZN6rt43LgmtkTNvfc3FyW82+wFm2kXpKN1Y9eAAAAmG8pb3l7+XBlUqrq1CSvS/JQks8meeMwbEeSPcP23mE/w/HPdHcP9auGt8Cdk2Rrks8nuS/J1uGtcadk8uDuvSvRHAAAAAArbymX6pyR5NbhbWzfl+SO7v5UVX0lye1V9c4kX0zyoWH8h5L8RlXtz+TKpKuSpLsfrKo7knwlyZEk1w230qWq3pLkriSbkuzu7gdXrEMAAAAAVtSigVJ3fynJqxaoP5LJG9rm1/88yZuOMdfNSW5eoH5nkjuXsF4AAAAAVtmS3vIGAAAAAEcJlAAAAAAYRaAEAAAAwCgCJQAAAABGESgBAAAAMIpACQAAAIBRBEoAAAAAjCJQAgAAAGAUgRIAAAAAowiUAAAAABhFoAQAAADAKAIlAAAAAEYRKAEAAAAwikAJAAAAgFEESgAAAACMIlACAAAAYBSBEgAAAACjLBooVdVZVfXZqnqoqh6sqrcO9X9TVX9SVQ8Mn8unzrmxqvZX1Ver6tKp+vahtr+qbpiqn1NV91bVw1X18ao6ZaUbBQAAAGBlLOUKpSNJru/uVya5KMl1VXXucOy93X3+8LkzSYZjVyX54STbk/xyVW2qqk1JPpDksiTnJrl6ap53D3NtTfJUkmtXqD8AAAAAVtiigVJ3P97dfzBsfzPJQ0nOfJZTrkhye3c/091fS7I/yQXDZ393P9Ld30lye5IrqqqSXJzkE8P5tya5crkNAQAAAHBibR4zuKrOTvKqJPcmeU2St1TVm5Pcn8lVTE9lEjZ9buq0g/nLAOrRefULk7w0ydPdfWSB8fN/f2eSnUkyMzOTubm5MctPksycmlx/3pHFB66Q5axxqQ4fPnxC5z+ZNlIvycbqRy8AAADMt+RAqapelOQ3k/xcd/9ZVX0wyTuS9PB9S5J/nKQWOL2z8NVQ/Szjv7fYvSvJriTZtm1bz87OLnX5/9v7b9uTW/aNytGOy4FrZk/Y3HNzc1nOv8FatJF6STZWP3oBAABgviUlK1X1vEzCpNu6+7eSpLufmDr+q0k+NeweTHLW1OnnTe+bAAARJElEQVRbkjw2bC9U/9Mkp1XV5uEqpenxAAAAAKwxS3nLWyX5UJKHuvs9U/Uzpob9RJIvD9t7k1xVVc+vqnOSbE3y+ST3Jdk6vNHtlEwe3L23uzvJZ5O8cTh/R5I9x9cWAAAAACfKUq5Qek2Sf5RkX1U9MNR+PpO3tJ2fye1pB5L8TJJ094NVdUeSr2Tyhrjruvu7SVJVb0lyV5JNSXZ394PDfG9LcntVvTPJFzMJsAAAAABYgxYNlLr797Lwc47ufJZzbk5y8wL1Oxc6r7sfyeQtcAAAAACscYve8gYAAAAA0wRKAAAAAIwiUAIAAABgFIESAAAAAKMIlAAAAAAYRaAEAAAAwCgCJQAAAABGESgBAAAAMIpACQAAAIBRBEoAAAAAjCJQAgAAAGAUgRIAAAAAowiUAAAAABhFoAQAAADAKAIlAAAAAEYRKAEAAAAwikAJAAAAgFEWDZSq6qyq+mxVPVRVD1bVW4f6S6rq7qp6ePg+fahXVb2vqvZX1Zeq6tVTc+0Yxj9cVTum6j9WVfuGc95XVXUimgUAAADg+C3lCqUjSa7v7lcmuSjJdVV1bpIbktzT3VuT3DPsJ8llSbYOn51JPphMAqgkNyW5MMkFSW46GkINY3ZOnbf9+FsDAAAA4ERYNFDq7se7+w+G7W8meSjJmUmuSHLrMOzWJFcO21ck+UhPfC7JaVV1RpJLk9zd3Ye6+6kkdyfZPhx7cXf/fnd3ko9MzQUAAADAGrN5zOCqOjvJq5Lcm2Smux9PJqFTVb1iGHZmkkenTjs41J6tfnCB+kK/vzOTK5kyMzOTubm5MctPksycmlx/3pHR5y3Xcta4VIcPHz6h859MG6mXZGP1oxcAAADmW3KgVFUvSvKbSX6uu//sWR5ztNCBXkb9e4vdu5LsSpJt27b17OzsIqv+Xu+/bU9u2TcqRzsuB66ZPWFzz83NZTn/BmvRRuol2Vj96AUAAID5lvSWt6p6XiZh0m3d/VtD+YnhdrUM308O9YNJzpo6fUuSxxapb1mgDgAAAMAatJS3vFWSDyV5qLvfM3Vob5Kjb2rbkWTPVP3Nw9veLkryjeHWuLuSXFJVpw8P474kyV3DsW9W1UXDb715ai4AAAAA1pil3Pv1miT/KMm+qnpgqP18kncluaOqrk3yx0neNBy7M8nlSfYn+XaSn06S7j5UVe9Ict8w7u3dfWjY/tkkH05yapJPDx8AAAAA1qBFA6Xu/r0s/JyjJHntAuM7yXXHmGt3kt0L1O9P8iOLrQUAAACA1bekZygBAAAAwFECJQAAAABGESgBAAAAMIpACQAAAIBRBEoAAAAAjCJQAgAAAGAUgRIAAAAAowiUAAAAABhFoAQAAADAKAIlAAAAAEYRKAEAAAAwikAJAAAAgFEESgAAAACMIlACAAAAYBSBEgAAAACjCJQAAAAAGGXRQKmqdlfVk1X15anav6mqP6mqB4bP5VPHbqyq/VX11aq6dKq+fajtr6obpurnVNW9VfVwVX28qk5ZyQYBAAAAWFlLuULpw0m2L1B/b3efP3zuTJKqOjfJVUl+eDjnl6tqU1VtSvKBJJclOTfJ1cPYJHn3MNfWJE8lufZ4GgIAAADgxFo0UOru301yaInzXZHk9u5+pru/lmR/kguGz/7ufqS7v5Pk9iRXVFUluTjJJ4bzb01y5cgeAAAAADiJjucZSm+pqi8Nt8SdPtTOTPLo1JiDQ+1Y9Zcmebq7j8yrAwAAALBGbV7meR9M8o4kPXzfkuQfJ6kFxnYWDq76WcYvqKp2JtmZJDMzM5mbmxu16CSZOTW5/rwjiw9cIctZ41IdPnz4hM5/Mm2kXpKN1Y9eAAAAmG9ZgVJ3P3F0u6p+Ncmnht2DSc6aGrolyWPD9kL1P01yWlVtHq5Smh6/0O/uSrIrSbZt29azs7Oj1/7+2/bkln3LzdHGO3DN7Ambe25uLsv5N1iLNlIvycbqRy8AAADMt6xb3qrqjKndn0hy9A1we5NcVVXPr6pzkmxN8vkk9yXZOrzR7ZRMHty9t7s7yWeTvHE4f0eSPctZEwAAAAAnx6KX6lTVx5LMJnlZVR1MclOS2ao6P5Pb0w4k+Zkk6e4Hq+qOJF9JciTJdd393WGetyS5K8mmJLu7+8HhJ96W5PaqemeSLyb50Ip1BwAAAMCKWzRQ6u6rFygfM/Tp7puT3LxA/c4kdy5QfySTt8ABAAAAsA4cz1veAAAAAHgOEigBAAAAMIpACQAAAIBRBEoAAAAAjCJQAgAAAGAUgRIAAAAAowiUAAAAABhFoAQAAADAKAIlAAAAAEYRKAEAAAAwikAJAAAAgFEESgAAAACMIlACAAAAYBSBEgAAAACjCJQAAAAAGEWgBAAAAMAoAiUAAAAARlk0UKqq3VX1ZFV9ear2kqq6u6oeHr5PH+pVVe+rqv1V9aWqevXUOTuG8Q9X1Y6p+o9V1b7hnPdVVa10kwAAAACsnKVcofThJNvn1W5Ick93b01yz7CfJJcl2Tp8dib5YDIJoJLclOTCJBckueloCDWM2Tl13vzfAgAAAGANWTRQ6u7fTXJoXvmKJLcO27cmuXKq/pGe+FyS06rqjCSXJrm7uw9191NJ7k6yfTj24u7+/e7uJB+ZmgsAAACANWjzMs+b6e7Hk6S7H6+qVwz1M5M8OjXu4FB7tvrBBeoLqqqdmVzNlJmZmczNzY1f+KnJ9ecdGX3eci1njUt1+PDhEzr/ybSRekk2Vj96AQAAYL7lBkrHstDzj3oZ9QV1964ku5Jk27ZtPTs7O3qB779tT27Zt9JtH9uBa2ZP2Nxzc3NZzr/BWrSRekk2Vj96AQAAYL7lvuXtieF2tQzfTw71g0nOmhq3Jclji9S3LFAHAAAAYI1abqC0N8nRN7XtSLJnqv7m4W1vFyX5xnBr3F1JLqmq04eHcV+S5K7h2Der6qLh7W5vnpoLAAAAgDVo0Xu/qupjSWaTvKyqDmbytrZ3Jbmjqq5N8sdJ3jQMvzPJ5Un2J/l2kp9Oku4+VFXvSHLfMO7t3X30Qd8/m8mb5E5N8unhAwAAAMAatWig1N1XH+PQaxcY20muO8Y8u5PsXqB+f5IfWWwdAAAAAKwNy73lDQAAAIDnKIESAAAAAKMIlAAAAAAYRaAEAAAAwCgCJQAAAABGESgBAAAAMIpACQAAAIBRBEoAAAAAjCJQAgAAAGAUgRIAAAAAowiUAAAAABhFoAQAAADAKAIlAAAAAEYRKAEAAAAwikAJAAAAgFEESgAAAACMIlACAAAAYJTjCpSq6kBV7auqB6rq/qH2kqq6u6oeHr5PH+pVVe+rqv1V9aWqevXUPDuG8Q9X1Y7jawkAAACAE2klrlD68e4+v7u3Dfs3JLmnu7cmuWfYT5LLkmwdPjuTfDCZBFBJbkpyYZILktx0NIQCAAAAYO05Ebe8XZHk1mH71iRXTtU/0hOfS3JaVZ2R5NIkd3f3oe5+KsndSbafgHUBAAAAsAI2H+f5neR3qqqT/Ep370oy092PJ0l3P15VrxjGnpnk0alzDw61Y9W/R1XtzOTqpszMzGRubm70gmdOTa4/78jo85ZrOWtcqsOHD5/Q+U+mjdRLsrH60QsAAADzHW+g9JrufmwIje6uqj96lrG1QK2fpf69xUlgtStJtm3b1rOzsyOXm7z/tj25Zd/xtr10B66ZPWFzz83NZTn/BmvRRuol2Vj96AUAAID5juuWt+5+bPh+MsknM3kG0hPDrWwZvp8chh9MctbU6VuSPPYsdQAAAADWoGUHSlX1wqr6/qPbSS5J8uUke5McfVPbjiR7hu29Sd48vO3toiTfGG6NuyvJJVV1+vAw7kuGGgAAAABr0PHc+zWT5JNVdXSej3b3f6yq+5LcUVXXJvnjJG8axt+Z5PIk+5N8O8lPJ0l3H6qqdyS5bxj39u4+dBzrAgAAAOAEWnag1N2PJPnRBer/PclrF6h3kuuOMdfuJLuXuxYAAAAATp7jeoYSAAAAAM89AiUAAAAARhEoAQAAADCKQAkAAACAUQRKAAAAAIwiUAIAAABgFIESAAAAAKMIlAAAAAAYRaAEAAAAwCgCJQAAAABGESgBAAAAMIpACQAAAIBRBEoAAAAAjCJQAgAAAGAUgRIAAAAAowiUAAAAABhFoAQAAADAKJtXewFHVdX2JL+YZFOSX+vud63yklbE2Tf89gmb+/rzjuSn5s1/4F2vP2G/BwAAAJCskSuUqmpTkg8kuSzJuUmurqpzV3dVAAAAACxkrVyhdEGS/d39SJJU1e1JrkjylVVd1Tp0Iq+IWogrogAAAOC5Z60ESmcmeXRq/2CSC+cPqqqdSXYOu4er6qvL+K2XJfnTZZy35vyLNdBLvXvFplr1XlbYRupHLyfPD672AgAAAJZirQRKtUCtv6fQvSvJruP6oar7u3vb8cyxVuhl7dpI/egFAACA+dbEM5QyuSLprKn9LUkeW6W1AAAAAPAs1kqgdF+SrVV1TlWdkuSqJHtXeU0AAAAALGBN3PLW3Ueq6i1J7kqyKcnu7n7wBP3ccd0yt8boZe3aSP3oBQAAgL+iur/nUUUAAAAAcExr5ZY3AAAAANYJgRIAAAAAozxnAqWq2l5VX62q/VV1w2qvZ6yq2l1VT1bVl6dqL6mqu6vq4eH79NVc41JV1VlV9dmqeqiqHqyqtw71dddPVb2gqj5fVX849PILQ/2cqrp36OXjw8Pm14Wq2lRVX6yqTw3767KXqjpQVfuq6oGqun+orbu/MQAAgLXoOREoVdWmJB9IclmSc5NcXVXnru6qRvtwku3zajckuae7tya5Z9hfD44kub67X5nkoiTXDf891mM/zyS5uLt/NMn5SbZX1UVJ3p3kvUMvTyW5dhXXONZbkzw0tb+ee/nx7j6/u7cN++vxbwwAAGDNeU4ESkkuSLK/ux/p7u8kuT3JFau8plG6+3eTHJpXviLJrcP2rUmuPKmLWqbufry7/2DY/mYm4cWZWYf99MThYfd5w6eTXJzkE0N9XfSSJFW1Jcnrk/zasF9Zp70cw7r7GwMAAFiLniuB0plJHp3aPzjU1ruZ7n48mYQ0SV6xyusZrarOTvKqJPdmnfYz3CL2QJInk9yd5L8kebq7jwxD1tPf279L8i+T/MWw/9Ks3146ye9U1ReqaudQW5d/YwAAAGvN5tVewElSC9T6pK+Cv6KqXpTkN5P8XHf/2eRimPWnu7+b5PyqOi3JJ5O8cqFhJ3dV41XVG5I82d1fqKrZo+UFhq75Xgav6e7HquoVSe6uqj9a7QUBAABsFM+VK5QOJjlran9LksdWaS0r6YmqOiNJhu8nV3k9S1ZVz8skTLqtu39rKK/bfpKku59OMpfJc6FOq6qjge16+Xt7TZK/V1UHMrkt9OJMrlhaj72kux8bvp/MJOi7IOv8bwwAAGCteK4ESvcl2Tq8reqUJFcl2bvKa1oJe5PsGLZ3JNmzimtZsuG5PB9K8lB3v2fq0Lrrp6pePlyZlKo6NcnrMnkm1GeTvHEYti566e4bu3tLd5+dyf8jn+nua7IOe6mqF1bV9x/dTnJJki9nHf6NAQAArEXVvV7uXjk+VXV5JldbbEqyu7tvXuUljVJVH0sym+RlSZ5IclOS/5DkjiR/PckfJ3lTd89/cPeaU1V/N8n/l2Rf/vJZPT+fyXOU1lU/VfW3M3m486ZMAto7uvvtVfU3MrnK5yVJvpjkJ7v7mdVb6TjDLW//T3e/YT32Mqz5k8Pu5iQf7e6bq+qlWWd/YwAAAGvRcyZQAgAAAGBlPFdueQMAAABghQiUAAAAABhFoAQAAADAKAIlAAAAAEYRKAEAAAAwikAJAAAAgFEESgAAAACM8r8AT1b0XY8GnIIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x1080 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bank_df.hist(figsize=(20, 15))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa787890>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lets see the relation between other variables with the target variable\n",
    "sns.scatterplot(x='age',y='balance',hue='Target',data=bank_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa870850>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='duration',y='previous',hue='Target',data=bank_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xab12b50>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='duration',y='campaign',hue='Target',data=bank_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above graphs, we can interpret for each variables.\n",
    "\n",
    "Age : The clients called by the bank have an extensive age range, from 18 to 95 years old. However, a majority of customers called is in the age of 30s and 40s. It has a normal distribution. Between 25 to 40 of age is more likely to subscribe the bank.\n",
    "\n",
    "Balance: After dropping outliers in balance, the range of balance is still massive, from a minimum of -6847 to a maximum of 10443 euros, giving a range of 17290 euros. The distribution of balance has a huge standard deviation relative to the mean, suggesting large variabilities in customers' balance levels.\n",
    "\n",
    "Duration: It is left-skewed indicates that most calls are relatively short. Also, there is a large number of outliers.\n",
    "\n",
    "Campagin: About half of the clients have been contacted by the bank for the second time, while 25% was first introduced to the term deposit. Most clients have been reached by the bank for one to three times, which is reasonable. However, some clients have been contacted by as high as 58 times, which is not normal. These clients may have some special needs that require frequent contact\n",
    "\n",
    "From the graph between campaign (number of calls made) vs duration, we can see that the clients have subscribed with less number of calls. With increase in number of calls, there is no much subscription. This should also be noted as more of number calls might result in losing the clients."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0xab12390>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1133.25x1080 with 42 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(bank_df.iloc[:,1:], hue=\"Target\", palette=\"husl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>day</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.105504</td>\n",
       "      <td>-0.010668</td>\n",
       "      <td>-0.006064</td>\n",
       "      <td>0.004580</td>\n",
       "      <td>-0.006096</td>\n",
       "      <td>0.014026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>balance</th>\n",
       "      <td>0.105504</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.009472</td>\n",
       "      <td>0.035927</td>\n",
       "      <td>-0.022389</td>\n",
       "      <td>0.016910</td>\n",
       "      <td>0.038031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <td>-0.010668</td>\n",
       "      <td>0.009472</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.032865</td>\n",
       "      <td>0.169848</td>\n",
       "      <td>-0.088887</td>\n",
       "      <td>-0.055350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>duration</th>\n",
       "      <td>-0.006064</td>\n",
       "      <td>0.035927</td>\n",
       "      <td>-0.032865</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.083199</td>\n",
       "      <td>0.000181</td>\n",
       "      <td>0.005692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign</th>\n",
       "      <td>0.004580</td>\n",
       "      <td>-0.022389</td>\n",
       "      <td>0.169848</td>\n",
       "      <td>-0.083199</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.094046</td>\n",
       "      <td>-0.051426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pdays</th>\n",
       "      <td>-0.006096</td>\n",
       "      <td>0.016910</td>\n",
       "      <td>-0.088887</td>\n",
       "      <td>0.000181</td>\n",
       "      <td>-0.094046</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.568111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>previous</th>\n",
       "      <td>0.014026</td>\n",
       "      <td>0.038031</td>\n",
       "      <td>-0.055350</td>\n",
       "      <td>0.005692</td>\n",
       "      <td>-0.051426</td>\n",
       "      <td>0.568111</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               age   balance       day  duration  campaign     pdays  previous\n",
       "age       1.000000  0.105504 -0.010668 -0.006064  0.004580 -0.006096  0.014026\n",
       "balance   0.105504  1.000000  0.009472  0.035927 -0.022389  0.016910  0.038031\n",
       "day      -0.010668  0.009472  1.000000 -0.032865  0.169848 -0.088887 -0.055350\n",
       "duration -0.006064  0.035927 -0.032865  1.000000 -0.083199  0.000181  0.005692\n",
       "campaign  0.004580 -0.022389  0.169848 -0.083199  1.000000 -0.094046 -0.051426\n",
       "pdays    -0.006096  0.016910 -0.088887  0.000181 -0.094046  1.000000  0.568111\n",
       "previous  0.014026  0.038031 -0.055350  0.005692 -0.051426  0.568111  1.000000"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr = bank_df.corr()\n",
    "corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xbc28d10>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.heatmap(corr,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the pairplots, we can see that there is no clear relationship between the variables age, balance, duration and campaign.\n",
    "\n",
    "From the heat map of correlation matrix, we can observe that “campaign outcome” has a strong correlation with “duration”,\n",
    "a moderate correlation with “previous contacts”, \n",
    "and mild correlations between “balance”, “month of contact” and “number of campaign”\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transformation of Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age           int64\n",
       "job          object\n",
       "marital      object\n",
       "education    object\n",
       "default      object\n",
       "balance       int64\n",
       "housing      object\n",
       "loan         object\n",
       "contact      object\n",
       "day           int64\n",
       "month        object\n",
       "duration      int64\n",
       "campaign      int64\n",
       "pdays         int64\n",
       "previous      int64\n",
       "poutcome     object\n",
       "Target       object\n",
       "dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bank_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 42655 entries, 0 to 45209\n",
      "Data columns (total 17 columns):\n",
      "age          42655 non-null int64\n",
      "job          42655 non-null int8\n",
      "marital      42655 non-null int8\n",
      "education    42655 non-null int8\n",
      "default      42655 non-null int8\n",
      "balance      42655 non-null int64\n",
      "housing      42655 non-null int8\n",
      "loan         42655 non-null int8\n",
      "contact      42655 non-null int8\n",
      "day          42655 non-null int64\n",
      "month        42655 non-null int8\n",
      "duration     42655 non-null int64\n",
      "campaign     42655 non-null int64\n",
      "pdays        42655 non-null int64\n",
      "previous     42655 non-null int64\n",
      "poutcome     42655 non-null int8\n",
      "Target       42655 non-null int8\n",
      "dtypes: int64(7), int8(10)\n",
      "memory usage: 4.0 MB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None,\n",
       "                 age           job       marital     education       default  \\\n",
       " count  42655.000000  42655.000000  42655.000000  42655.000000  42655.000000   \n",
       " mean      40.937123      4.693565      1.165092      2.054882      0.018685   \n",
       " std       10.578167      3.667607      0.607301      0.778312      0.135411   \n",
       " min       18.000000      0.000000      0.000000      0.000000      0.000000   \n",
       " 25%       33.000000      1.000000      1.000000      2.000000      0.000000   \n",
       " 50%       39.000000      4.000000      1.000000      2.000000      0.000000   \n",
       " 75%       48.000000      8.000000      2.000000      3.000000      0.000000   \n",
       " max       95.000000     11.000000      2.000000      3.000000      1.000000   \n",
       " \n",
       "             balance       housing          loan       contact           day  \\\n",
       " count  42655.000000  42655.000000  42655.000000  42655.000000  42655.000000   \n",
       " mean    1079.808416      0.553909      0.162724      0.663627     15.863299   \n",
       " std     1717.623768      0.497091      0.369118      0.907936      8.329445   \n",
       " min    -6847.000000      0.000000      0.000000      0.000000      1.000000   \n",
       " 25%       66.000000      0.000000      0.000000      0.000000      8.000000   \n",
       " 50%      425.000000      1.000000      0.000000      0.000000     16.000000   \n",
       " 75%     1341.000000      1.000000      0.000000      2.000000     21.000000   \n",
       " max    10443.000000      1.000000      1.000000      2.000000     31.000000   \n",
       " \n",
       "               month      duration     campaign         pdays      previous  \\\n",
       " count  42655.000000  42655.000000  42655.00000  42655.000000  42655.000000   \n",
       " mean       5.515743    258.173157      2.77808     32.210855      0.434885   \n",
       " std        2.983698    257.847671      3.14056     90.856368      1.563589   \n",
       " min        0.000000      0.000000      1.00000     -1.000000      0.000000   \n",
       " 25%        3.000000    103.000000      1.00000     -1.000000      0.000000   \n",
       " 50%        6.000000    180.000000      2.00000     -1.000000      0.000000   \n",
       " 75%        8.000000    318.000000      3.00000     -1.000000      0.000000   \n",
       " max       11.000000   4918.000000     63.00000    871.000000     55.000000   \n",
       " \n",
       "            poutcome        Target  \n",
       " count  42655.000000  42655.000000  \n",
       " mean       1.739210      0.114172  \n",
       " std        0.647392      0.318024  \n",
       " min        0.000000      0.000000  \n",
       " 25%        2.000000      0.000000  \n",
       " 50%        2.000000      0.000000  \n",
       " 75%        2.000000      0.000000  \n",
       " max        2.000000      1.000000  )"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Classfication models, Decision tree in Python can take only numerical / categorical colums. It cannot take string / object types. \n",
    "# The following code loops through each column and checks if the column type is object then converts those columns\n",
    "# into categorical with each distinct value becoming a category or code.\n",
    "\n",
    "for feature in df.columns: # Loop through all columns in the dataframe\n",
    "    if bank_df[feature].dtype == 'object': # Only apply for columns with categorical strings\n",
    "        bank_df[feature] = pd.Categorical(bank_df[feature]).codes # Replace strings with an integer\n",
    "        \n",
    "bank_df.info(), bank_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Splitting of Data into Training and Test Datasets:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For splitting the data into training and test sets, we need to separate the Dependent and independent (Target) variables into two different data frames.\n",
    "\n",
    "Since contact has no impact in the dataset, lets drop the column contact in our datasets.\n",
    "\n",
    "Here our target variable is Target. All other variables are dependant variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split # # Import Sklearn package's data splitting function\n",
    "from sklearn import metrics\n",
    "from sklearn import preprocessing\n",
    "\n",
    "X = bank_df.drop(['contact','Target'], axis=1)\n",
    "y = bank_df['Target']\n",
    "\n",
    "# Split X and y into training and test set in 70:30 ratio\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scaling of data to improve the accuracy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "## To have an accurate score, let us create another set of data with scaling function applied to it.\n",
    "\n",
    "ZX = preprocessing.scale(X)\n",
    "ZX_train, ZX_test, y_train, y_test = train_test_split(ZX, y, test_size=0.3, random_state=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Logistic Regression Model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression # Import Logistic Regression machine learning library\n",
    "log_model1 = LogisticRegression()\n",
    "\n",
    "# Apply training data to the logistic regression model\n",
    "log_model1.fit(X_train, y_train)\n",
    "\n",
    "#Predict the test results\n",
    "y_predict = log_model1.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The coefficient for age is 0.0014283369734405975\n",
      "The coefficient for job is 0.014647979337141522\n",
      "The coefficient for marital is 0.17064297721197144\n",
      "The coefficient for education is 0.16003271853648332\n",
      "The coefficient for default is -0.17109315275329287\n",
      "The coefficient for balance is 6.0627382940197484e-05\n",
      "The coefficient for housing is -1.1554743466607877\n",
      "The coefficient for loan is -0.6536197800851996\n",
      "The coefficient for day is -0.0029304159176130723\n",
      "The coefficient for month is -0.014876770894916888\n",
      "The coefficient for duration is 0.0039035339019349176\n",
      "The coefficient for campaign is -0.14934103262832693\n",
      "The coefficient for pdays is 0.0033063406381144997\n",
      "The coefficient for previous is 0.14300655950772528\n",
      "The coefficient for poutcome is 0.08120967079814602\n"
     ]
    }
   ],
   "source": [
    "# Let us explore the coefficients for each of the independent attributes\n",
    "\n",
    "for idx, col_name in enumerate(X_train.columns):\n",
    "    print(\"The coefficient for {} is {}\".format(col_name, log_model1.coef_[0][idx]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The intercept for our model is -3.378233093912698\n"
     ]
    }
   ],
   "source": [
    "# Let us check the intercept for the model\n",
    "\n",
    "intercept = log_model1.intercept_[0]\n",
    "\n",
    "print(\"The intercept for our model is {}\".format(intercept))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Logistic Regression model accuracy is 0.8925529420958037\n"
     ]
    }
   ],
   "source": [
    "# Calculate the model score and print confusion matrix\n",
    "\n",
    "log_model1_score = log_model1.score(X_test, y_test)\n",
    "print(\"The Logistic Regression model accuracy is {}\".format(log_model1_score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The confustion matrix for Logistic Regression is\n",
      "[[11085   213]\n",
      " [ 1162   337]]\n"
     ]
    }
   ],
   "source": [
    "print(\"The confustion matrix for Logistic Regression is\")\n",
    "print(metrics.confusion_matrix(y_test, y_predict))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the confusion matrix results, we can see the below observations.\n",
    "\n",
    "True negative is 11085 & True postive is 337.\n",
    "False postive is 213 & False negative is 1162."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         0         1         2         3         4         5         6   \\\n",
      "0  0.050629  0.058488  0.138561  0.145507 -0.023177  0.105199 -0.570217   \n",
      "\n",
      "         7         8         9         10        11        12        13  \\\n",
      "0 -0.237797 -0.015602 -0.034043  1.012215 -0.460128  0.343839  0.236877   \n",
      "\n",
      "         14  \n",
      "0  0.113163  \n"
     ]
    }
   ],
   "source": [
    "# Apply Scaled training data to the logistic regression model\n",
    "log_model2 = LogisticRegression()\n",
    "log_model2.fit(ZX_train, y_train)\n",
    "\n",
    "#Predict the test results\n",
    "y_predict1 = log_model2.predict(ZX_test)\n",
    "\n",
    "# Let us explore the coefficients for each of the independent attributes\n",
    "\n",
    "coef_df = pd.DataFrame(log_model2.coef_)\n",
    "print(coef_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The intercept for Logistic Regression model is -2.641615846547623\n"
     ]
    }
   ],
   "source": [
    "# Let us check the intercept for the model\n",
    "\n",
    "intercept1 = log_model2.intercept_[0]\n",
    "print(\"The intercept for Logistic Regression model is {}\".format(intercept1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Logistic Regression model accuracy with scaled data is 0.8923185121512854\n"
     ]
    }
   ],
   "source": [
    "# Calculate the model score\n",
    "\n",
    "log_model2_score = log_model2.score(ZX_test, y_test)\n",
    "print(\"The Logistic Regression model accuracy with scaled data is {}\".format(log_model2_score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The confustion matrix for Logistic Regression with scaled data is\n",
      "[[11081   217]\n",
      " [ 1161   338]]\n"
     ]
    }
   ],
   "source": [
    "# Print confusion matrix\n",
    "\n",
    "print(\"The confustion matrix for Logistic Regression with scaled data is\")\n",
    "print(metrics.confusion_matrix(y_test, y_predict1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The confustion matrix for Logistic Regression with scaled data is\n",
      "[[11081   217]\n",
      " [ 1161   338]]\n"
     ]
    }
   ],
   "source": [
    "# Print confusion matrix\n",
    "\n",
    "print(\"The confustion matrix for Logistic Regression with scaled data is\")\n",
    "print(metrics.confusion_matrix(y_test, y_predict1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now the model accuracy for Logistic Regression with scaled data is 95.266%\n",
    "\n",
    "True Postive is 11081 & True negative is 338.\n",
    "\n",
    "False Postive is 217 & False nrgative is 1161.\n",
    "\n",
    "The Logistic regression score is almost equal before and after scaling."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " # Naive Bayes Model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Naive Bayes model accuracy is 0.8387121981714465\n",
      "[[10072  1226]\n",
      " [  838   661]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.naive_bayes import GaussianNB\n",
    "\n",
    "naive_model1 = GaussianNB()\n",
    "naive_model1.fit(X_train,y_train)\n",
    "y_predict_naive = naive_model1.predict(X_test)\n",
    "naive_model1_score = naive_model1.score(X_test, y_test)\n",
    "print(\"The Naive Bayes model accuracy is {}\".format(naive_model1_score))\n",
    "print(metrics.confusion_matrix(y_test, y_predict_naive))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Naive Bayes model accuracy is 83.87%\n",
    "\n",
    "True Postive is 10072 & True Negative is 661.\n",
    "\n",
    "False Postive is 1226 & False negative is 838."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Naive Bayes model accuracy is 0.837696335078534\n",
      "[[10053  1245]\n",
      " [  832   667]]\n"
     ]
    }
   ],
   "source": [
    "naive_model2 = GaussianNB()\n",
    "naive_model2.fit(ZX_train,y_train)\n",
    "y_predict1_naive = naive_model2.predict(ZX_test)\n",
    "naive_model2_score = naive_model2.score(ZX_test, y_test)\n",
    "print(\"The Naive Bayes model accuracy is {}\".format(naive_model2_score))\n",
    "print(metrics.confusion_matrix(y_test, y_predict1_naive))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now the Naive Bayes model accuracy with scaled dataset is 83.76%\n",
    "\n",
    "True Postive is 10053 & True Negative is 667.\n",
    "\n",
    "False Postive is 1245 & False negative is 832."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Naive Bayes Model accuracy is almost same before and after scaling."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# K - Nearest Neighbors Model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The KNN model accuracy is 0.8762209892943659\n",
      "The confusion matrix of KNN model is\n",
      "[[10774   524]\n",
      " [ 1060   439]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "knn_model1= KNeighborsClassifier(n_neighbors= 3 , weights = 'distance' )\n",
    "knn_model1.fit(X_train, y_train)\n",
    "y_pred_knn = knn_model1.predict(X_test)\n",
    "knn_model1_score = knn_model1.score(X_test, y_test)\n",
    "print(\"The KNN model accuracy is {}\".format(knn_model1_score))\n",
    "print(\"The confusion matrix of KNN model is\")\n",
    "print(metrics.confusion_matrix(y_test,y_pred_knn))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here True Postive is 10774 & True Negative is 439.\n",
    "\n",
    "False Postive is 524 & False negative is 1060."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The KNN model accuracy with scaled data is 0.8930218019848402\n",
      "The confusion matrix of KNN model is\n",
      "[[10896   402]\n",
      " [  967   532]]\n"
     ]
    }
   ],
   "source": [
    "knn_model2= KNeighborsClassifier(n_neighbors= 3 , weights = 'distance' )\n",
    "knn_model2.fit(ZX_train, y_train)\n",
    "y_pred1_knn = knn_model2.predict(ZX_test)\n",
    "knn_model2_score = knn_model2.score(ZX_test, y_test)\n",
    "print(\"The KNN model accuracy with scaled data is {}\".format(knn_model2_score))\n",
    "print(\"The confusion matrix of KNN model is\")\n",
    "print(metrics.confusion_matrix(y_test,y_pred1_knn))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here True Postive is 10896 & True Negative is 532.\n",
    "\n",
    "False Postive is 402 & False negative is 967."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create the decision tree model using “entropy” method of reducing the entropy and fit it to training data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,\n",
       "            max_features=None, 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, presort=False, random_state=None,\n",
       "            splitter='best')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# invoking the decision tree classifier function. Using 'entropy' method of finding the split columns. \n",
    "\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "dt_model = DecisionTreeClassifier(criterion = 'entropy' )\n",
    "dt_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Print the accuracy of the model & print the confusion matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Decision Tree model accuracy is 0.8762991326092053\n",
      "The confusion matrix of Decision Tree is\n",
      "[[10503   795]\n",
      " [  788   711]]\n"
     ]
    }
   ],
   "source": [
    "test_pred = dt_model.predict(X_test)\n",
    "dt_modelscore= dt_model.score(X_test , y_test)\n",
    "print(\"The Decision Tree model accuracy is {}\".format(dt_modelscore))\n",
    "print(\"The confusion matrix of Decision Tree is\")\n",
    "print(metrics.confusion_matrix(y_test,test_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Regularising the Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(class_weight={0: 0.5, 1: 0.5}, criterion='entropy',\n",
       "            max_depth=5, max_features=None, max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=5, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
       "            splitter='best')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt_model = DecisionTreeClassifier(criterion = 'entropy', class_weight={0:.5,1:.5}, max_depth = 5, min_samples_leaf=5 )\n",
    "dt_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Regularised Decision Tree model accuracy is 0.9028678596546066\n"
     ]
    }
   ],
   "source": [
    "reg_dt_model= dt_model.score(X_test, y_test)\n",
    "print(\"The Regularised Decision Tree model accuracy is {}\".format(reg_dt_model))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Apply the Random forest model and print the accuracy of Random forest Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Random forest model accuracy is 0.8916152223177307\n",
      "The confusion matrix of Random Forest Model is\n",
      "[[11270    28]\n",
      " [ 1359   140]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rfcl = RandomForestClassifier(criterion = 'entropy', class_weight={0:.5,1:.5}, max_depth = 5, min_samples_leaf=5)\n",
    "rfcl = rfcl.fit(X_train, y_train)\n",
    "test_pred = rfcl.predict(X_test)\n",
    "rfcl_score=rfcl.score(X_test , y_test)\n",
    "print(\"The Random forest model accuracy is {}\".format(rfcl_score))\n",
    "print(\"The confusion matrix of Random Forest Model is\")\n",
    "print(metrics.confusion_matrix(y_test,test_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Apply Adaboost Ensemble Algorithm for the same data and print the accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Adaboost Ensemble model accuracy is 0.8924747987809643\n",
      "The confusion matrix of Adaboost Ensemble model is\n",
      "[[10954   344]\n",
      " [ 1032   467]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "\n",
    "abcl = AdaBoostClassifier( n_estimators= 20)\n",
    "abcl = abcl.fit(X_train, y_train)\n",
    "\n",
    "test_pred = abcl.predict(X_test)\n",
    "abcl_score=abcl.score(X_test, y_test)\n",
    "print(\"The Adaboost Ensemble model accuracy is {}\".format(abcl_score))\n",
    "print(\"The confusion matrix of Adaboost Ensemble model is\")\n",
    "print(metrics.confusion_matrix(y_test,test_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Apply Bagging Classifier Algorithm and print the accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Bagging classifier model accuracy is 0.8979448308197234\n",
      "The confusion matrix of Bagging classifier model is\n",
      "[[10918   380]\n",
      " [  926   573]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import BaggingClassifier\n",
    "\n",
    "bgcl = BaggingClassifier(n_estimators=10, max_samples= .7, bootstrap=True)\n",
    "bgcl = bgcl.fit(X_train, y_train)\n",
    "test_pred = bgcl.predict(X_test)\n",
    "bgcl_score=bgcl.score(X_test, y_test)\n",
    "print(\"The Bagging classifier model accuracy is {}\".format(bgcl_score))\n",
    "print(\"The confusion matrix of Bagging classifier model is\")\n",
    "print(metrics.confusion_matrix(y_test,test_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Apply GradientBoost Classifier Algorithm for the same data and print the accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Gradient Boost classifier model accuracy is 0.8987262639681175\n",
      "The confusion matrix of Gradient Boost classifier model is\n",
      "[[11165   133]\n",
      " [ 1163   336]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "gbcl = GradientBoostingClassifier(n_estimators = 50, learning_rate = 0.05)\n",
    "gbcl = gbcl.fit(X_train, y_train)\n",
    "test_pred = gbcl.predict(X_test)\n",
    "gbcl_score=gbcl.score(X_test , y_test)\n",
    "print(\"The Gradient Boost classifier model accuracy is {}\".format(gbcl_score))\n",
    "print(\"The confusion matrix of Gradient Boost classifier model is\")\n",
    "print(metrics.confusion_matrix(y_test,test_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparision of Models:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of models before scaling:\n",
      "Logistic Regression model: 0.8925529420958037\n",
      "Naive Bayes model: 0.8387121981714465\n",
      "KNN model: 0.8762209892943659\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy of models before scaling:\")\n",
    "print(\"Logistic Regression model: {}\".format(log_model1_score))\n",
    "print(\"Naive Bayes model: {}\".format(naive_model1_score))\n",
    "print(\"KNN model: {}\".format(knn_model1_score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of models with scaled dataset:\n",
      "Logistic Regression model: 0.8923185121512854\n",
      "Naive Bayes model: 0.837696335078534\n",
      "KNN model: 0.8930218019848402\n"
     ]
    }
   ],
   "source": [
    "print(\"Accuracy of models with scaled dataset:\")\n",
    "print(\"Logistic Regression model: {}\".format(log_model2_score))\n",
    "print(\"Naive Bayes model: {}\".format(naive_model2_score))\n",
    "print(\"KNN model: {}\".format(knn_model2_score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Decision Tree model accuracy is 0.8762991326092053\n",
      "The Regularised Decision Tree model accuracy is 0.9028678596546066\n",
      "The Random forest model accuracy is 0.8916152223177307\n",
      "The Adaboost Ensemble model accuracy is 0.8924747987809643\n",
      "The Bagging classifier model accuracy is 0.8979448308197234\n",
      "The Gradient Boost classifier model accuracy is 0.8987262639681175\n"
     ]
    }
   ],
   "source": [
    "print(\"The Decision Tree model accuracy is {}\".format(dt_modelscore))\n",
    "print(\"The Regularised Decision Tree model accuracy is {}\".format(reg_dt_model))\n",
    "print(\"The Random forest model accuracy is {}\".format(rfcl_score))\n",
    "print(\"The Adaboost Ensemble model accuracy is {}\".format(abcl_score))\n",
    "print(\"The Bagging classifier model accuracy is {}\".format(bgcl_score))\n",
    "print(\"The Gradient Boost classifier model accuracy is {}\".format(gbcl_score))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above model score, we can see that Regularised Decision Tree model and next the Bagging classfier have more accuracy than other models.\n",
    "\n",
    "\n",
    "The recommended model is as the below order based on the model score to predict the subscription of clients to the Bank deposit.\n",
    "\n",
    "Regularised Decision Tree\n",
    "\n",
    "Bagging Classifier\n",
    "\n",
    "Gradient Boost\n",
    "\n",
    "Random Forest\n",
    "\n",
    "KNN Model\n",
    "\n",
    "Adaboost\n",
    "\n",
    "Logistic regression\n",
    "\n",
    "Decision Tree\n",
    "\n",
    "Naive Bayes Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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