Human_Resource_quit_prediction.ipynb

{
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  "metadata": {
    "colab": {
      "name": "Human_Resource_quit_prediction.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPX+wLenEewtUtEFF9GSWh5",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/aysbt/DataScienceCourse/blob/master/Human_Resource_quit_prediction.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xf3E_4u4Xiuu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "outputId": "c2de4b96-36f7-453a-e87e-fce5f710929c"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C-T6VGz7bOak",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SHY6YfmlbWqr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# include the full link to the csv file containing your dataset\n",
        "!cp gdrive/'My Drive'/'Colab Notebooks'/data/Human_Resources.csv .\n",
        "employee_df = pd.read_csv('Human_Resources.csv')"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "axQtwaSicbsw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "outputId": "f45823ab-1687-4042-9207-a0cafb03616e"
      },
      "source": [
        "employee_df.head()"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
              "    .dataframe thead th {\n",
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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>Attrition</th>\n",
              "      <th>BusinessTravel</th>\n",
              "      <th>DailyRate</th>\n",
              "      <th>Department</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EducationField</th>\n",
              "      <th>EmployeeCount</th>\n",
              "      <th>EmployeeNumber</th>\n",
              "      <th>EnvironmentSatisfaction</th>\n",
              "      <th>Gender</th>\n",
              "      <th>HourlyRate</th>\n",
              "      <th>JobInvolvement</th>\n",
              "      <th>JobLevel</th>\n",
              "      <th>JobRole</th>\n",
              "      <th>JobSatisfaction</th>\n",
              "      <th>MaritalStatus</th>\n",
              "      <th>MonthlyIncome</th>\n",
              "      <th>MonthlyRate</th>\n",
              "      <th>NumCompaniesWorked</th>\n",
              "      <th>Over18</th>\n",
              "      <th>OverTime</th>\n",
              "      <th>PercentSalaryHike</th>\n",
              "      <th>PerformanceRating</th>\n",
              "      <th>RelationshipSatisfaction</th>\n",
              "      <th>StandardHours</th>\n",
              "      <th>StockOptionLevel</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>WorkLifeBalance</th>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>41</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>1102</td>\n",
              "      <td>Sales</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>Female</td>\n",
              "      <td>94</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>Sales Executive</td>\n",
              "      <td>4</td>\n",
              "      <td>Single</td>\n",
              "      <td>5993</td>\n",
              "      <td>19479</td>\n",
              "      <td>8</td>\n",
              "      <td>Y</td>\n",
              "      <td>Yes</td>\n",
              "      <td>11</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>49</td>\n",
              "      <td>No</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>279</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>Male</td>\n",
              "      <td>61</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>Research Scientist</td>\n",
              "      <td>2</td>\n",
              "      <td>Married</td>\n",
              "      <td>5130</td>\n",
              "      <td>24907</td>\n",
              "      <td>1</td>\n",
              "      <td>Y</td>\n",
              "      <td>No</td>\n",
              "      <td>23</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>37</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>1373</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>Other</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>Male</td>\n",
              "      <td>92</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Laboratory Technician</td>\n",
              "      <td>3</td>\n",
              "      <td>Single</td>\n",
              "      <td>2090</td>\n",
              "      <td>2396</td>\n",
              "      <td>6</td>\n",
              "      <td>Y</td>\n",
              "      <td>Yes</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>33</td>\n",
              "      <td>No</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>1392</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>Female</td>\n",
              "      <td>56</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Research Scientist</td>\n",
              "      <td>3</td>\n",
              "      <td>Married</td>\n",
              "      <td>2909</td>\n",
              "      <td>23159</td>\n",
              "      <td>1</td>\n",
              "      <td>Y</td>\n",
              "      <td>Yes</td>\n",
              "      <td>11</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>27</td>\n",
              "      <td>No</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>591</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Medical</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>Male</td>\n",
              "      <td>40</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Laboratory Technician</td>\n",
              "      <td>2</td>\n",
              "      <td>Married</td>\n",
              "      <td>3468</td>\n",
              "      <td>16632</td>\n",
              "      <td>9</td>\n",
              "      <td>Y</td>\n",
              "      <td>No</td>\n",
              "      <td>12</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Age Attrition  ... YearsSinceLastPromotion  YearsWithCurrManager\n",
              "0   41       Yes  ...                       0                     5\n",
              "1   49        No  ...                       1                     7\n",
              "2   37       Yes  ...                       0                     0\n",
              "3   33        No  ...                       3                     0\n",
              "4   27        No  ...                       2                     2\n",
              "\n",
              "[5 rows x 35 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5R9kXXTDd7UU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "outputId": "f33e0ff6-8986-4277-911f-e38714f92a89"
      },
      "source": [
        "employee_df.describe()"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Age</th>\n",
              "      <th>DailyRate</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EmployeeCount</th>\n",
              "      <th>EmployeeNumber</th>\n",
              "      <th>EnvironmentSatisfaction</th>\n",
              "      <th>HourlyRate</th>\n",
              "      <th>JobInvolvement</th>\n",
              "      <th>JobLevel</th>\n",
              "      <th>JobSatisfaction</th>\n",
              "      <th>MonthlyIncome</th>\n",
              "      <th>MonthlyRate</th>\n",
              "      <th>NumCompaniesWorked</th>\n",
              "      <th>PercentSalaryHike</th>\n",
              "      <th>PerformanceRating</th>\n",
              "      <th>RelationshipSatisfaction</th>\n",
              "      <th>StandardHours</th>\n",
              "      <th>StockOptionLevel</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>WorkLifeBalance</th>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.0</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.0</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>36.923810</td>\n",
              "      <td>802.485714</td>\n",
              "      <td>9.192517</td>\n",
              "      <td>2.912925</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1024.865306</td>\n",
              "      <td>2.721769</td>\n",
              "      <td>65.891156</td>\n",
              "      <td>2.729932</td>\n",
              "      <td>2.063946</td>\n",
              "      <td>2.728571</td>\n",
              "      <td>6502.931293</td>\n",
              "      <td>14313.103401</td>\n",
              "      <td>2.693197</td>\n",
              "      <td>15.209524</td>\n",
              "      <td>3.153741</td>\n",
              "      <td>2.712245</td>\n",
              "      <td>80.0</td>\n",
              "      <td>0.793878</td>\n",
              "      <td>11.279592</td>\n",
              "      <td>2.799320</td>\n",
              "      <td>2.761224</td>\n",
              "      <td>7.008163</td>\n",
              "      <td>4.229252</td>\n",
              "      <td>2.187755</td>\n",
              "      <td>4.123129</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>9.135373</td>\n",
              "      <td>403.509100</td>\n",
              "      <td>8.106864</td>\n",
              "      <td>1.024165</td>\n",
              "      <td>0.0</td>\n",
              "      <td>602.024335</td>\n",
              "      <td>1.093082</td>\n",
              "      <td>20.329428</td>\n",
              "      <td>0.711561</td>\n",
              "      <td>1.106940</td>\n",
              "      <td>1.102846</td>\n",
              "      <td>4707.956783</td>\n",
              "      <td>7117.786044</td>\n",
              "      <td>2.498009</td>\n",
              "      <td>3.659938</td>\n",
              "      <td>0.360824</td>\n",
              "      <td>1.081209</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.852077</td>\n",
              "      <td>7.780782</td>\n",
              "      <td>1.289271</td>\n",
              "      <td>0.706476</td>\n",
              "      <td>6.126525</td>\n",
              "      <td>3.623137</td>\n",
              "      <td>3.222430</td>\n",
              "      <td>3.568136</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>18.000000</td>\n",
              "      <td>102.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>30.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1009.000000</td>\n",
              "      <td>2094.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>30.000000</td>\n",
              "      <td>465.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>491.250000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2911.000000</td>\n",
              "      <td>8047.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>36.000000</td>\n",
              "      <td>802.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1020.500000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>66.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>4919.000000</td>\n",
              "      <td>14235.500000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>43.000000</td>\n",
              "      <td>1157.000000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1555.750000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>83.750000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>8379.000000</td>\n",
              "      <td>20461.500000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>7.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>60.000000</td>\n",
              "      <td>1499.000000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2068.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>19999.000000</td>\n",
              "      <td>26999.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>17.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               Age    DailyRate  ...  YearsSinceLastPromotion  YearsWithCurrManager\n",
              "count  1470.000000  1470.000000  ...              1470.000000           1470.000000\n",
              "mean     36.923810   802.485714  ...                 2.187755              4.123129\n",
              "std       9.135373   403.509100  ...                 3.222430              3.568136\n",
              "min      18.000000   102.000000  ...                 0.000000              0.000000\n",
              "25%      30.000000   465.000000  ...                 0.000000              2.000000\n",
              "50%      36.000000   802.000000  ...                 1.000000              3.000000\n",
              "75%      43.000000  1157.000000  ...                 3.000000              7.000000\n",
              "max      60.000000  1499.000000  ...                15.000000             17.000000\n",
              "\n",
              "[8 rows x 26 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v3HPRmPjrouy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 731
        },
        "outputId": "08273090-2e3d-4e87-add7-e1847a840746"
      },
      "source": [
        "employee_df.info()"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1470 entries, 0 to 1469\n",
            "Data columns (total 35 columns):\n",
            " #   Column                    Non-Null Count  Dtype \n",
            "---  ------                    --------------  ----- \n",
            " 0   Age                       1470 non-null   int64 \n",
            " 1   Attrition                 1470 non-null   object\n",
            " 2   BusinessTravel            1470 non-null   object\n",
            " 3   DailyRate                 1470 non-null   int64 \n",
            " 4   Department                1470 non-null   object\n",
            " 5   DistanceFromHome          1470 non-null   int64 \n",
            " 6   Education                 1470 non-null   int64 \n",
            " 7   EducationField            1470 non-null   object\n",
            " 8   EmployeeCount             1470 non-null   int64 \n",
            " 9   EmployeeNumber            1470 non-null   int64 \n",
            " 10  EnvironmentSatisfaction   1470 non-null   int64 \n",
            " 11  Gender                    1470 non-null   object\n",
            " 12  HourlyRate                1470 non-null   int64 \n",
            " 13  JobInvolvement            1470 non-null   int64 \n",
            " 14  JobLevel                  1470 non-null   int64 \n",
            " 15  JobRole                   1470 non-null   object\n",
            " 16  JobSatisfaction           1470 non-null   int64 \n",
            " 17  MaritalStatus             1470 non-null   object\n",
            " 18  MonthlyIncome             1470 non-null   int64 \n",
            " 19  MonthlyRate               1470 non-null   int64 \n",
            " 20  NumCompaniesWorked        1470 non-null   int64 \n",
            " 21  Over18                    1470 non-null   object\n",
            " 22  OverTime                  1470 non-null   object\n",
            " 23  PercentSalaryHike         1470 non-null   int64 \n",
            " 24  PerformanceRating         1470 non-null   int64 \n",
            " 25  RelationshipSatisfaction  1470 non-null   int64 \n",
            " 26  StandardHours             1470 non-null   int64 \n",
            " 27  StockOptionLevel          1470 non-null   int64 \n",
            " 28  TotalWorkingYears         1470 non-null   int64 \n",
            " 29  TrainingTimesLastYear     1470 non-null   int64 \n",
            " 30  WorkLifeBalance           1470 non-null   int64 \n",
            " 31  YearsAtCompany            1470 non-null   int64 \n",
            " 32  YearsInCurrentRole        1470 non-null   int64 \n",
            " 33  YearsSinceLastPromotion   1470 non-null   int64 \n",
            " 34  YearsWithCurrManager      1470 non-null   int64 \n",
            "dtypes: int64(26), object(9)\n",
            "memory usage: 402.1+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6wKnC72Wr3zM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Let's replace 'Attritition' , 'overtime' , 'Over18' column with integers before performing any visualizations \n",
        "employee_df['Attrition'] = employee_df['Attrition'].apply(lambda x:1 if x == 'Yes' else 0)\n"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NgNvMmvXtVcF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "employee_df['OverTime'] = employee_df['OverTime'].apply(lambda x:1 if x == 'Yes' else 0)\n",
        "employee_df['Over18'] = employee_df['Over18'].apply(lambda x:1 if x == 'Y' else 0)"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6eF4vM-wtk9D",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "outputId": "a8b1a662-e2a9-4594-dc23-7ef27673d6e7"
      },
      "source": [
        "employee_df.head()"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Attrition</th>\n",
              "      <th>BusinessTravel</th>\n",
              "      <th>DailyRate</th>\n",
              "      <th>Department</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EducationField</th>\n",
              "      <th>EmployeeCount</th>\n",
              "      <th>EmployeeNumber</th>\n",
              "      <th>EnvironmentSatisfaction</th>\n",
              "      <th>Gender</th>\n",
              "      <th>HourlyRate</th>\n",
              "      <th>JobInvolvement</th>\n",
              "      <th>JobLevel</th>\n",
              "      <th>JobRole</th>\n",
              "      <th>JobSatisfaction</th>\n",
              "      <th>MaritalStatus</th>\n",
              "      <th>MonthlyIncome</th>\n",
              "      <th>MonthlyRate</th>\n",
              "      <th>NumCompaniesWorked</th>\n",
              "      <th>Over18</th>\n",
              "      <th>OverTime</th>\n",
              "      <th>PercentSalaryHike</th>\n",
              "      <th>PerformanceRating</th>\n",
              "      <th>RelationshipSatisfaction</th>\n",
              "      <th>StandardHours</th>\n",
              "      <th>StockOptionLevel</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>WorkLifeBalance</th>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>41</td>\n",
              "      <td>1</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>1102</td>\n",
              "      <td>Sales</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>Female</td>\n",
              "      <td>94</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>Sales Executive</td>\n",
              "      <td>4</td>\n",
              "      <td>Single</td>\n",
              "      <td>5993</td>\n",
              "      <td>19479</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>49</td>\n",
              "      <td>0</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>279</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>Male</td>\n",
              "      <td>61</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>Research Scientist</td>\n",
              "      <td>2</td>\n",
              "      <td>Married</td>\n",
              "      <td>5130</td>\n",
              "      <td>24907</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>23</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>1373</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>Other</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>Male</td>\n",
              "      <td>92</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Laboratory Technician</td>\n",
              "      <td>3</td>\n",
              "      <td>Single</td>\n",
              "      <td>2090</td>\n",
              "      <td>2396</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>1392</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>Female</td>\n",
              "      <td>56</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Research Scientist</td>\n",
              "      <td>3</td>\n",
              "      <td>Married</td>\n",
              "      <td>2909</td>\n",
              "      <td>23159</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>27</td>\n",
              "      <td>0</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>591</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Medical</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>Male</td>\n",
              "      <td>40</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>Laboratory Technician</td>\n",
              "      <td>2</td>\n",
              "      <td>Married</td>\n",
              "      <td>3468</td>\n",
              "      <td>16632</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>12</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Age  Attrition  ... YearsSinceLastPromotion  YearsWithCurrManager\n",
              "0   41          1  ...                       0                     5\n",
              "1   49          0  ...                       1                     7\n",
              "2   37          1  ...                       0                     0\n",
              "3   33          0  ...                       3                     0\n",
              "4   27          0  ...                       2                     2\n",
              "\n",
              "[5 rows x 35 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-fSsdJNBtmrg",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 395
        },
        "outputId": "c7cee27b-5ce5-4c7d-c2a5-47f42dd0da8d"
      },
      "source": [
        "# Let's see if we have any missing data, luckily we don't!\n",
        "sns.heatmap(employee_df.isnull(), yticklabels=False, cbar=False, cmap='Blues')"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7af9a8e048>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LHdAjlbALW0e",
        "colab_type": "text"
      },
      "source": [
        "## VISUALIZE DATASET\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aw-2bM-6uKJl",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "ef7fd6fb-0eb7-4532-880f-865f86f0630c"
      },
      "source": [
        "# Several features such as 'MonthlyIncome' and 'TotalWorkingYears' are tail heavy\n",
        "# It makes sense to drop 'EmployeeCount' and 'Standardhours' since they do not change from one employee to the other\n",
        "\n",
        "employee_df.hist(bins=30, figsize=(20,20), color='g', alpha=0.6)"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f7af95562b0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9584550>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af95357b8>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af94e6a20>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9497c88>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f7af94c9ef0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9486198>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af94363c8>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9436438>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af939d8d0>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9350b38>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9384da0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9339fd0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af92fa2b0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af92ad518>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9261780>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af92149e8>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9246c50>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af91fdeb8>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af91bc160>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f7af91713c8>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af9124630>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af90d8898>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af910db00>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af90c0d68>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f7af907a6a0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af902da20>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af8fddda0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af8fa0160>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7af8f524e0>]],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 30 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z8MJlzUMumq9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# It makes sense to drop 'EmployeeCount' , 'Standardhours' and 'Over18' since they do not change from one employee to the other\n",
        "# Let's drop 'EmployeeNumber' as well\n",
        "employee_df.drop(['EmployeeCount','EmployeeNumber','Over18','StandardHours'], axis=1, inplace=True)"
      ],
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_cj5Jf3NwD6J",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Let's see how many employees left the company! \n",
        "left_df = employee_df[employee_df['Attrition'] ==1]\n",
        "stayed_df = employee_df[employee_df['Attrition'] ==0]"
      ],
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AH6Gb5H-wpRw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "57cf4ac5-e532-4815-e3ec-62a98ba25b52"
      },
      "source": [
        "\n",
        "\n",
        "\n",
        "\n",
        "total = len(employee_df)\n",
        "\n",
        "\n",
        "print(f'Total employee: {total}, Number of employee who left : {len(left_df)}, Number of employee whi stayed: {len(stayed_df)}')\n",
        "print(f'% of employee who left : {round(len(left_df)*100/total,2)}, %of employee who stayed {round(len(stayed_df)*100/total,2)} ')"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Total employee: 1470, Number of employee who left : 237, Number of employee whi stayed: 1233\n",
            "% of employee who left : 16.12, %of employee who stayed 83.88 \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S9E0cnZ7wqhB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 930
        },
        "outputId": "6311f992-5e26-422d-992a-a698f0c0b9d2"
      },
      "source": [
        "correlations = employee_df.corr()\n",
        "fig, ax = plt.subplots(figsize=(20,20))\n",
        "sns.heatmap(correlations, annot=True)\n",
        "# Job level is strongly correlated with total working hours\n",
        "# Monthly income is strongly correlated with Job level\n",
        "# Monthly income is strongly correlated with total working hours\n",
        "# Age is stongly correlated with monthly income\n"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7af95fd9b0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u36Tw8Pfw_rI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        },
        "outputId": "05c8d53c-22fb-4871-8619-62de620303c4"
      },
      "source": [
        "plt.figure(figsize=([25,12]))\n",
        "sns.countplot(x='Age', hue='Attrition', data=employee_df)"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7af82e94e0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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e+3cHrx9JsjPJyiRvSnLj4G03Jnlz1QwAAAAAACwMI/Nxk9bamiTnJvl2klN67w8OLj2U5JQnWXNlkiuTZPXq1fVDArMyOjE16zXTk+MFkwAAAACwGJT/AMPW2j9I8oUk7++9//LQa733nqQfbl3v/bre+1jvfWzFihXVYwIAAAAAUKg0RrfWjs6BEP0Xvfe/HJz+SWvt1MH1U5M8XDkDAAAAAADDVxajW2styfVJdvbeP37IpVuTbBi83pBkc9UMAAAAAAAsDJXPjD4/ybuSbG+tbRuc+7dJPprkc621K5Lcm+TthTMAAAAAALAAlMXo3vv/SNKe5PJrq+4LAAAAAMDCU/4DDAEAAAAAQIwGAAAAAKCcGA0AAAAAQLnKH2AIFBqdmJr1munJ8YJJAAAAgEP5f3Y4PDujAQAAAAAoJ0YDAAAAAFBOjAYAAAAAoJwYDQAAAABAOTEaAAAAAIByYjQAAAAAAOXEaAAAAAAAyonRAAAAAACUGxn2AAAcWe7bePas16y+ZnvBJMPj9wAAAGqNTkzNes305HjBJMCh7IwGAAAAAKCcGA0AAAAAQDkxGgAAAACAcmI0AAAAAADlxGgAAAAAAMqJ0QAAAAAAlBOjAQAAAAAoJ0YDAAAAAFBuZNgDAAAAAHNjdGJq1mumJ8cLJjmy+XPwewAcnp3RAAAAAACUE6MBAAAAACgnRgMAAAAAUE6MBgAAAACgnBgNAAAAAEA5MRoAAAAAgHJiNAAAAAAA5cRoAAAAAADKidEAAAAAAJQTowEAAAAAKCdGAwAAAABQTowGAAAAAKCcGA0AAAAAQDkxGgAAAACAcmI0AAAAAADlxGgAAAAAAMqJ0QAAAAAAlBOjAQAAAAAoNzLsAQAAAACYO6MTU7NeMz05XjAJwBPZGQ0AAAAAQDkxGgAAAACAcmI0AAAAAADlxGgAAAAAAMqJ0QAAAAAAlBOjAQAAAAAoJ0YDAAAAAFBOjAYAAAAAoNzIsAcAYP7ct/HsWa9Zfc32gkkAAACAI42d0QAAAAAAlBOjAQAAAAAoJ0YDAAAAAFBOjAYAAAAAoJwYDQAAAABAOTEaAAAAAIByYjQAAAAAAOXEaAAAAAAAyonRAAAAAK3Fo70AABfbSURBVACUE6MBAAAAACgnRgMAAAAAUE6MBgAAAACgnBgNAAAAAEA5MRoAAAAAgHJiNAAAAAAA5cRoAAAAAADKidEAAAAAAJQbGfYAAPPpvo1nz3rN6mu2F0wCRzb/LgIAABx57IwGAAAAAKCcGA0AAAAAQDkxGgAAAACAcmI0AAAAAADlxGgAAAAAAMqJ0QAAAAAAlBOjAQAAAAAoJ0YDAAAAAFBuZNgDwDMxOjE16zXTk+MFkwAsPvdtPHvWa1Zfs71gEgAAoIp2wkJkZzQAAAAAAOXEaAAAAAAAyonRAAAAAACUE6MBAAAAACgnRv//9u4+2rK7rA/49wlD0ALyGkJsGMMqbyJZjSTSooICvgDtMlijJssSyou0KKJYUrG2Ax3KKpi2VF1VFtUAQYRSMZUiAikvAmvxGghMgCSApuE9RSpIWZQV8+sfew/eNZxzZq7M77dP5n4+a82ac/a5Z77P7Lvvc8/vufvsCwAAAABAd92G0VV1SVXdUFVX7dh2x6q6vKo+Mv99h175AAAAAABsj55nRr8oycOP2Pb0JG9ord0zyRvm+wAAAAAAnOC6DaNba29J8vkjNp+b5MXz7RcneVSvfAAAAAAAtse+wXmnttY+Pd/+TJJT131gVT0xyROTZP/+/QNKg2N39kWX7vo5V1x8YYdKALi5uv7gmbt+zv4DhzpUAgAA9GB+9PUW+wWGrbWWpG14/AWttXNaa+eccsopAysDAAAAAOB4Gz2M/mxVnZYk8983DM4HAAAAAGABo4fRr0rymPn2Y5L84eB8AAAAAAAW0G0YXVUvS/L2JPeuqk9U1eOTPCfJD1bVR5L8wHwfAAAAAIATXLdfYNhau2DNQw/rlQkAAAAAwHZa7BcYAgAAAACwdxhGAwAAAADQnWE0AAAAAADdGUYDAAAAANBdt19gCADb6PqDZ+76OfsPHOpQCUtyHAAAwInv7Isu3fVzrrj4wg6VcJgzowEAAAAA6M4wGgAAAACA7gyjAQAAAADozjAaAAAAAIDuDKMBAAAAAOjOMBoAAAAAgO4MowEAAAAA6M4wGgAAAACA7gyjAQAAAADozjAaAAAAAIDuDKMBAAAAAOjOMBoAAAAAgO4MowEAAAAA6M4wGgAAAACA7gyjAQAAAADozjAaAAAAAIDuDKMBAAAAAOhu39IFcPNz9kWX7vo5V1x8YYdK2K3rD5656+fsP3CoQyUAAAAA7DXOjAYAAAAAoDvDaAAAAAAAujOMBgAAAACgO8NoAAAAAAC6M4wGAAAAAKA7w2gAAAAAALozjAYAAAAAoDvDaAAAAAAAutu3dAF7wfUHz9z1c/YfOHRC1bB0PtvBcQCwPZbuyUvnbwP7wD7YFj4PAMAozowGAAAAAKA7w2gAAAAAALozjAYAAAAAoDvDaAAAAAAAujOMBgAAAACgO8NoAAAAAAC6M4wGAAAAAKA7w2gAAAAAALrbt3QB7N7ZF1266+dcdtsOhdzMXH/wzF0/Z/+BQx0qAQDYDl4fAUz0Q+CwE60f/E3miFdcfGGHSibOjAYAAAAAoDvDaAAAAAAAujOMBgAAAACgO8NoAAAAAAC6M4wGAAAAAKA7w2gAAAAAALozjAYAAAAAoDvDaAAAAAAAutu3dAG7dfZFl+76OZfd9uJdP2f/gUO7fg5scv3BM3f9HMchAAD05XU6QB9/kxneFRdf2KEStokzowEAAAAA6M4wGgAAAACA7gyjAQAAAADozjAaAAAAAIDuDKMBAAAAAOjOMBoAAAAAgO4MowEAAAAA6M4wGgAAAACA7vYtXcDN0dkXXbqrj7/stp0KAW52rj945q6fs//AoQ6VAACwLbxGZBs4Dpe3DZ+DbaiBE5szowEAAAAA6M4wGgAAAACA7gyjAQAAAADozjAaAAAAAIDuDKMBAAAAAOjOMBoAAAAAgO4MowEAAAAA6M4wGgAAAACA7gyjAQAAAADobt/SBQAAwBKuP3jmrp+z/8ChDpWwpKWPg6Xzt4F9sLxt+BxsQw1Lsw92vw9OtP8/7AXOjAYAAAAAoDvDaAAAAAAAujOMBgAAAACgO8NoAAAAAAC6M4wGAAAAAKA7w2gAAAAAALozjAYAAAAAoDvDaAAAAAAAujOMBgAAAACgO8NoAAAAAAC6M4wGAAAAAKA7w2gAAAAAALozjAYAAAAAoDvDaAAAAAAAultkGF1VD6+qa6rqo1X19CVqAAAAAABgnOHD6Kq6RZL/nOQRSe6b5IKquu/oOgAAAAAAGGeJM6MfkOSjrbU/ba19NcnLk5y7QB0AAAAAAAxSrbWxgVXnJXl4a+0J8/1HJ/l7rbUnH/FxT0zyxPnuvZNc8w3E3jnJ576B53+jls7fhhqWzt+GGpbO34Yals7fhhr2ev421LB0/jbUsHT+NtSwdP421LDX87ehhqXzt6GGpfO3oYal87ehhr2evw01LJ2/DTUsnb8NNSydvw017PX8bahh6fxtqGHp/ONRw7e11k5Z9cC+b+Af7aq19oIkLzge/1ZVvae1ds7x+LdujvnbUMPS+dtQw9L521DD0vnbUMNez9+GGpbO34Yals7fhhqWzt+GGvZ6/jbUsHT+NtSwdP421LB0/jbUsNfzt6GGpfO3oYal87ehhqXzt6GGvZ6/DTUsnb8NNSyd37uGJS7T8ckkd9tx//R5GwAAAAAAJ6glhtHvTnLPqrp7VZ2c5Pwkr1qgDgAAAAAABhl+mY7W2o1V9eQkr0tyiySXtNY+2Dn2uFzu42acnyxfw9L5yfI1LJ2fLF/D0vnJ8jXs9fxk+RqWzk+Wr2Hp/GT5GpbOT5avYa/nJ8vXsHR+snwNS+cny9ewdH6yfA17PT9Zvoal85Pla1g6P1m+hqXzk+Vr2Ov5yfI1LJ2fLF/D0vlJxxqG/wJDAAAAAAD2niUu0wEAAAAAwB5jGA0AAAAAQHcn3DC6qi6pqhuq6qod286qqndU1ZVV9Z6qesDg/L9bVW+vqkNV9T+q6ls65t+tqt5UVR+qqg9W1c/P2+9YVZdX1Ufmv++wQA0/Pt+/qarOWSD/4qq6uqo+UFWXVdXtF6jhWXP+lVX1+qr61pH5Ox7/51XVqurOPfI31VBVz6yqT8774MqqeuTI/Pmxn5uPhQ9W1a+OzK+q/7rj/35dVV3ZI/8oNQzpiRvyR/bEb6qqd1XV++ca/s28/e5V9c6q+uj8OTl5cP6T5+yuX4dHqeGlVXVNVV1V0/euWw7O/5152weq6ver6jY98jfVsOPxX6+qL43Or6oXVdWf7egJZw3Or6p6dlVdW1Ufrqqn9Mg/Sg1v3fH//1RV/ffB+Q+rqvfO+W+rqnv0yD9KDQ+da7iqql5cVV1/p0tV3aKq3ldVr57vD+mHG/KH9cMNNQzphxvyh/XDdTXs2N61H67LH9UPj1LDsJ64Jn9IP9yQP6wfbqhhdD+8rqbXo1dW1XvmbSPXzavyh6yZj1LDyHXzqvwha+Z1+Tse675mXldDDVozr8uft3dfM2+qocaum1flD5sjbqhh5Lr59jW9Brl6/h74wK79sLV2Qv1J8uAk909y1Y5tr0/yiPn2I5O8eXD+u5N833z7cUme1TH/tCT3n2/fNsm1Se6b5FeTPH3e/vQkz12ghm9Pcu8kb05yzgL5P5Rk37z9uQvtg2/Z8TFPSfL8kfnz/btl+gWi/yvJnRfYB89M8rReuceQ/5Ak/zPJrebH7jL6c7DjY/5DkgML7IMhPXFD/sieWEluM9++ZZJ3Jvn7SV6R5Px5+/OTPGlw/ncmOSPJdT2/Do9SwyPnxyrJyxbYBzv74X/M/D1qZA3z/XOSvCTJlxb4HLwoyXk9P/9HyX9skkuTnDQ/1qUfHu1zsONjXpnkwsH74Nok3z5v/5kkLxq8D747yceT3GvefjDJ4zsfD7+Y5PeSvHq+P6Qfbsgf1g831DCkH27IH9YP19Uwb+veDzfsgyH98Cg1DOuJ6z4HOx7r1g83/P+H9cNVNWQ6UW50P/y6vpOx6+ZV+UPWzEepYeS6eVX+kDXzuvx5+5A184Z98MwMWDNvyB+yZj7a52HH473Xzav2wbA54oYaRq6bX5zkCfPtk5Pcvmc/POHOjG6tvSXJ54/cnOTwTxBul+RTg/PvleQt8+3Lk/xYx/xPt9beO9/+yyQfTvK3k5yb6eDK/PejRtfQWvtwa+2aXrnHkP/61tqN84e9I8npC9TwxR0fdutMx+aw/Pnh5yX5F72yj7GG7jbkPynJc1pr/29+7IbB+Umms2+S/ESmRW8XG2oY0hM35I/sia21dvgMr1vOf1qShyb5/Xl7t564Lr+19r7W2nU9MndRw2vmx1qSd6VTT9yQ/8Xka18L35yOPWldDVV1iyQXZ+qJ3Ww4DofYkP+kJAdbazfNH9elHx6lhiTJfKbHQ5N0ORNwQ/7I14iravirJF9trV07b+/aE6vq9CT/IMlvz/crg/rhqvwkGdkPN9QwpB9uyB/WD9fVMKofrssfbU0Nw3ripn3Qux9uyB/WD9fUcKcM7IcbDFs3rzJqzXyUGoatm9fkD1kzH8WQNfMWG7JmPhYj1s1rDO2JawxZN1fV7TKdWPs7SdJa+2pr7S/SsR+ecMPoNX4hycVV9fEk/z7JLw/O/2CmT2KS/Himn7J1V1VnZDrb5J1JTm2tfXp+6DNJTl2ghuE25D8uyR8vUUNNb//7eJKfSnJgZH5VnZvkk6219/fOXVfDvOnJ81uvLun51rc1+fdK8qCa3pL8J1X1XYPzD3tQks+21j7SO39FDcN74hH5Q3tiTW8BvTLJDZm+iX8syV/seJH9iXT8QcmR+a214f1wUw01vR390UleOzq/ql6Y6XvSfZL8Rq/8DTU8Ocmrdnx/HJ2fJM+e++HzqupWg/P/TpKfnN96+MdVdc9e+RtqOOxRSd5wxAJ0RP4Tkrymqj6R6evgOb3yV9WQafC5r/76rdjnpW9P/E+ZFtc3zffvlIH9cEX+EtbWMKIfrssf2Q/X1DCsH67JTwb1ww01jOyJm74WuvfDNflD++GKGj6Xsf0wmYZNr6+qK6rqifO2kevmVfmjHa2G3uvmlfkD18xfl7/Amnnd52DUmnlV/ug186bjcMS6eVX+6DXzqhpGrZvvnuR/J3lhTZdO+u2qunU69sO9Mox+UpKnttbuluSpmaf9Az0uyc9U1RWZ3qr+1d6BNV1r7pVJfuHIFzLzWR/df8K3qYYR1uVX1a8kuTHJS5eoobX2K/Ox+NJML/yH5Gf6P//LDBiAr6th3ge/lenF/llJPp3pLTcj8/cluWOmt2dflOQV809bR+UfdkEG/XR3RQ1De+KK/KE9sbX2V621szKd1fGATAv9YY7Mr6r7jcw/hhp+M8lbWmtvHZ3fWntskm/NdNb8T/bKX1PDgzO9qOs99FmXf79ML2rvk+S7MvWlXxqcf6skX2mtnZPkvyS5pFf+hhoO694T1+Q/NckjW2unJ3lhpkskDKshyXckOT/J86rqXUn+MtPZ0sddVf3DJDe01q7o8e9ve/4x1tC1H27KH9UPV9VQ0/VYh/TDDftgWD/cUMOQnngMx2HXfrghf1g/XFXDvEYd0g93+N7W2v2TPCLJz86vDb5mwLp5Y/4ga2sYtG5emT9wzbwqf/SaeVUNI9fMq/KHrpnX1HDYiHXzqvzRc8RVNYxaN+/LdLnh32qtfWeS/5vpshxfc9z7Yet4zZOl/mS67tzOazZ/IUnNtyvJF0fmH/HYvZK8q3P+LTNd3+gXd2y7Jslp8+3TklwzuoYdj705na9/tS4/yT9J8vYkf6tn/tH2wfz4/nXHSY/8JGdmOhPruvnPjUmuT3LXBffB2q+VXvmZznZ6yI77H0tyysj/f6Zm/9kkp/c8Bjfsg2E98RiOge498Yi8A5leUH0uf30tvAcmed3A/KftuH9dBl0jdVUNSZ6R6W3AJy2Rv2Pbg7Pimpmda3hGpp/wH+6JNyX56IL74PtH7YPD+UmuTnL3eVsl+cISx0GSOyf58yTfNDj/oiQf27Ftf5IPLbEPdmz7oSSv6JT37zKd+XzdfOx/OdMif0g/XJP/uzse794PN9Uwoh8ebR/MH9O1H66p4f+M6ofHuA+69sN1NYzqiUc5Drv3wzX5fzSyHx7jcdCtH66p6ZmZvjcOXTcfmb/j/psz4JrR62rIwHXzun0wb+u6Zl6R/68zeM18DPvgjMH74GkZuGbetA8ycN28Yh8MnSMew3HQbd2c5K5Jrttx/0Hz94Vu/XCvnBn9qSTfN99+aJIhb4s/rKruMv99UpJ/lemXw/TKqkw/sflwa23nT7NfleQx8+3HJPnDBWoYYl1+VT0801vBfqS19uWFatj5dr9zM73oHZLfWjvUWrtLa+2M1toZmV4A3r+19plRNczbT9vxYT+a5KqR+ZkWmg+ZP+ZemS7O/7mB+UnyA0mubq194njnHmMNQ3rihmNgZE88pebfAF5V35zkBzOddfamTG//TDr2xDX5Xb7ud1tDVT0hyQ8nuaDN18ccmH9NVd1j3lZJfiQd98uaGq5ord11R0/8cmvtHgPzrz7cD+d98Kj064frjsOv9cNMPeHa1f9C1xqS6Wvx1a21rwzO/3CS283fC7Jj28gart7RE2+V6WzQLj2xtfbLrbXT5+P9/CRvbK39VAb1wzX5/7hH1m5rGNUPV+UnefTIfrhmH9xhVD/c8DkY0g831ZBBPfEoXwvd++Ga4/DcDOyHG46DIf1wzrh1Vd328O1Mw++rMmjdvCF/mHU1jFo3b8gftWZelf/uwWvmdftg1Jp53XE4ZM18lBqSAevmDfnD5ogbjoMh6+b5+P54Vd173vSwJB9Kx36473j9Q9uiql6W6afpd67pelfPSPLTSX6tqvYl+UqSbtdjWpN/m6r62flD/iDT2556+Z5M1/g6VNM1CZPpbSbPyfTWisdn+o2wP7FADbfK9Pa/U5L8UVVd2Vr74YH5vz7XcPn0OjfvaK39sw75m2p4/PwFflOmz8PQ/NbaazrlHXMNSS6oqrMyvcXjuiT/dHD+JUkuqaqrMr3N5TFt/lHfiPz5c3B+xlyiY90+GNUT1+Xfc2BPPC3Ji2v6xUwnZTrD5tVV9aEkL6+qf5vkfen3tqt1+U/J9CL/rkk+UFWvaa09YXANN2bqQ2+fe+IftNYOjsjP9JP2t9b0S5oqyfszvRWul5X7oGPeMeVX1Rur6pRM++DK9PuesC7/bUleWlVPTfKlTNcL7WXT5+D89L826bp98NNJXllVN2U6O/RxC9RwcU1vWT8p09sj39ixhlV+KWP64UqD++E6z8+YfrhKZTouRvXDbfXSQf1wk+dkXE9cZ0Q//DqttRsH98N1LhrYD09Nctn8Nb8vye+11l5bVe/OmHXzuvwfzZg186YaPpox6+Z1+a8ctGZemd8pa1c1VNVLBq2Z1+WfnDFr5rU1zI+NWDev2wdfyqA54oYafn7guvnnMn0PPDnJnyZ5bObXqz36YfU7ngAAAAAAYLJXLtMBAAAAAMCCDKMBAAAAAOjOMBoAAAAAgO4MowEAAAAA6M4wGgAAAACA7gyjAQCgk6p6VFW1qrrP0rUAAMDSDKMBAKCfC5K8bf4bAAD2NMNoAADooKpuk+R7kzw+yfnztpOq6jer6uqquryqXlNV582PnV1Vf1JVV1TV66rqtAXLBwCA484wGgAA+jg3yWtba9cm+fOqOjvJP0pyRpL7Jnl0kgcmSVXdMslvJDmvtXZ2kkuSPHuJogEAoJd9SxcAAAAnqAuS/Np8++Xz/X1J/ltr7aYkn6mqN82P3zvJ/ZJcXlVJcosknx5bLgAA9GUYDQAAx1lV3THJQ5OcWVUt03C5Jbls3VOSfLC19sBBJQIAwHAu0wEAAMffeUle0lr7ttbaGa21uyX5sySfT/Jj87WjT03y/fPHX5PklKr62mU7quo7ligcAAB6MYwGAIDj74J8/VnQr0xy1ySfSPKhJL+b5L1JvtBa+2qmAfZzq+r9Sa5M8t3jygUAgP6qtbZ0DQAAsGdU1W1aa1+qqjsleVeS72mtfWbpugAAoDfXjAYAgLFeXVW3T3JykmcZRAMAsFc4MxoAAAAAgO5cMxoAAAAAgO4MowEAAAAA6M4wGgAAAACA7gyjAQAAAADozjAaAAAAAIDu/j9CWBI+FIgOOgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1800x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oUnTGIPJ_z82",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 187
        },
        "outputId": "81ee0c28-f6a6-4684-c17c-81980c749dbc"
      },
      "source": [
        "employee_df.columns"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Age', 'Attrition', 'BusinessTravel', 'DailyRate', 'Department',\n",
              "       'DistanceFromHome', 'Education', 'EducationField',\n",
              "       'EnvironmentSatisfaction', 'Gender', 'HourlyRate', 'JobInvolvement',\n",
              "       'JobLevel', 'JobRole', 'JobSatisfaction', 'MaritalStatus',\n",
              "       'MonthlyIncome', 'MonthlyRate', 'NumCompaniesWorked', 'OverTime',\n",
              "       'PercentSalaryHike', 'PerformanceRating', 'RelationshipSatisfaction',\n",
              "       'StockOptionLevel', 'TotalWorkingYears', 'TrainingTimesLastYear',\n",
              "       'WorkLifeBalance', 'YearsAtCompany', 'YearsInCurrentRole',\n",
              "       'YearsSinceLastPromotion', 'YearsWithCurrManager'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K7Tcprq4wsub",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 854
        },
        "outputId": "9876e7c2-e772-4fc3-abea-a331b64fa5c4"
      },
      "source": [
        "plt.figure(figsize=([20,20]))\n",
        "\n",
        "plt.subplot(411)\n",
        "sns.countplot(x='MaritalStatus', hue='Attrition', data=employee_df)\n",
        "\n",
        "plt.subplot(412)\n",
        "sns.countplot(x='JobRole', hue='Attrition', data=employee_df)\n",
        "\n",
        "plt.subplot(413)\n",
        "sns.countplot(x='JobLevel', hue='Attrition', data=employee_df)\n",
        "\n",
        "plt.subplot(414)\n",
        "sns.countplot(x='JobInvolvement', hue='Attrition', data=employee_df)\n",
        "\n",
        "# Single employees tend to leave compared to married and divorced\n",
        "# Sales Representitives tend to leave compared to any other job \n",
        "# Less involved employees tend to leave the company \n",
        "# Less experienced (low job level) tend to leave the company "
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7af8b000f0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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NAwAAAGCS6Htr2xtH7e6SZE6SRzd3TGutJflRt7tr92lJXpXkV7v2qzLyIO/LkpyYxx7qfV2SS6uqunkAAAAAmGB939p2/KjtNUlWZCT42ayqmpJkcZKDkvx5km8n+dfW2ppuyHCSGd32jCT3J0lrbU1V/TDJ3km+v8GcZyY5M0kOOOCAnuUDAAAAsLX6vrXtbVsyeWttbZLZVfW0JNcnefaWzLPBnJcnuTxJ5syZY7USAAAAwDbS6xlJVTVUVddX1UPd55NVNdT3JK21f03y2SQvTvK0qloXYA0lWdltr0yyf3e+qUn2TLK67zkAAAAAGKy+t7ZdmeTjSU7q9n+ta/ulTR1QVdOT/Ly19q9V9aRu7PszEii9Ock1SU5LckN3yMJu/4td/62ejwQAAGyNo8+9eqJLYAez+KJTJ7oEmFB9g6TprbUrR+1/tKre+QTH7Jfkqu45Sbsk+URr7dNVtSzJNVX1x0m+luSKbvwVST5WVcuTPJxkXu9vAQAAAMDA9Q2SVlfVryVZ0O2fnCe47ay1dmeSIzfS/p0kL9hI+6N5bMUTAAAAAJNMr2ckJTk9yVuSPJjkgYzcejZ/QDUBAAAAMAn1XZF0QZLTWms/SJKq2ivJxRkJmAAAAADYCfRdkfS8dSFSkrTWHs5GblsDAAAAYMfVN0japaqevm6nW5HUdzUTAAAAADuAvmHQnyX5YlX9Xbd/UpL3DaYkAAAAACajXkFSa+3qqlqU5FVd0xtba8sGVxYAAAAAk03v29O64Eh4BAAAALCT6vuMJAAAAAB2coIkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6EWQBAAAAEAvgiQAAAAAehEkAQAAANCLIAkAAACAXgRJAAAAAPQiSAIAAACgF0ESAAAAAL0IkgAAAADoRZAEAAAAQC+CJAAAAAB6ESQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKCXgQVJVbV/VX22qpZV1Ter6h1d+15VdXNV3dP9fHrXXlX1oapaXlV3VtVRg6oNAAAAgLEb5IqkNUl+u7V2WJIXJTm7qg5Lcl6SW1prBye5pdtPktclObj7nJnksgHWBgAAAMAYDSxIaq090Fq7o9t+JMldSWYkOTHJVd2wq5K8vts+McnVbcSXkjytqvYbVH0AAAAAjM02eUZSVc1McmSSLyfZt7X2QNf1YJJ9u+0ZSe4fddhw1wYAAADAJDDwIKmqnpLkk0ne2Vr7t9F9rbWWpI1xvjOralFVLVq1atU4VgoAAADA5gw0SKqqXTMSIv1ta+3vu+bvrbtlrfv5UNe+Msn+ow4f6toep7V2eWttTmttzvTp0wdXPAAAAACPM8i3tlWSK5Lc1Vr7wKiuhUlO67ZPS3LDqPZTu7e3vSjJD0fdAgcAAADABJs6wLlfkuSUJEuraknX9vtJLkzyiao6I8m9Sd7S9d2YZG6S5Un+PcnbBlgbAAAAAGM0sCCptfaFJLWJ7ldvZHxLcvag6gEAAABg62yTt7YBAAAAsP0TJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6EWQBAAAAEAvgiQAAAAAehEkAQAAANCLIAkAAACAXgRJAAAAAPQiSAIAAACgF0ESAAAAAL0IkgAAAADoRZAEAAAAQC+CJAAAAAB6ESQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKAXQRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHqZOtEFAJt33wVHTHQJ7GAOOH/pRJcAAABsp6xIAgAAAKAXQRIAAAAAvQiSAAAAAOhlYEFSVX2kqh6qqm+Maturqm6uqnu6n0/v2quqPlRVy6vqzqo6alB1AQAAALBlBrki6aNJXrtB23lJbmmtHZzklm4/SV6X5ODuc2aSywZYFwAAAABbYGBBUmvtc0ke3qD5xCRXddtXJXn9qPar24gvJXlaVe03qNoAAAAAGLtt/YykfVtrD3TbDybZt9uekeT+UeOGuzYAAAAAJokJe9h2a60laWM9rqrOrKpFVbVo1apVA6gMAAAAgI3Z1kHS99bdstb9fKhrX5lk/1Hjhrq2/6S1dnlrbU5rbc706dMHWiwAAAAAj9nWQdLCJKd126cluWFU+6nd29telOSHo26BAwAAAGASmDqoiatqQZJXJtmnqoaTvCfJhUk+UVVnJLk3yVu64TcmmZtkeZJ/T/K2QdUFAAAAwJYZWJDUWjt5E12v3sjYluTsQdUCAAAAwNabsIdtAwAAALB9GdiKJAAAHnPfBUdMdAnsYA44f+lElwDATsiKJAAAAAB6ESQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKAXQRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6EWQBAAAAEAvgiQAAAAAehEkAQAAANDL1IkuAAAAALYX911wxESXwA7mgPOXTnQJY2JFEgAAAAC9CJIAAAAA6EWQBAAAAEAvgiQAAAAAehEkAQAAANCLIAkAAACAXgRJAAAAAPQiSAIAAACgF0ESAAAAAL1MuiCpql5bVXdX1fKqOm+i6wEAAABgxKQKkqpqSpI/T/K6JIclObmqDpvYqgAAAABIJlmQlOQFSZa31r7TWvtZkmuSnDjBNQEAAACQpFprE13DelX15iSvba39erd/SpIXttbOGTXmzCRndruHJrl7mxcK29Y+Sb4/0UUAsNVczwF2DK7n7Az+r9ba9I11TN3WlWyt1trlSS6f6DpgW6mqRa21ORNdBwBbx/UcYMfges7ObrLd2rYyyf6j9oe6NgAAAAAm2GQLkr6a5OCqmlVVuyWZl2ThBNcEAAAAQCbZrW2ttTVVdU6Sf0oyJclHWmvfnOCyYKK5lRNgx+B6DrBjcD1npzapHrYNAAAAwOQ12W5tAwAAAGCSEiQBAAAA0IsgCbaRqvqDqvpmVd1ZVUuq6oVV9ddVddgWzjezqr4x3nUC8HhV1arqb0btT62qVVX16a2c95lVdd0Yj/loVb15a84LsDOpqrXd372/WVVfr6rfrqpdur45VfWhSVDjH1bV70x0HdDXpHrYNuyoqurFSY5LclRr7adVtU+S3Vprvz7BpQHwxH6c5LlV9aTW2k+S/FKSlWOZoKqmttbWbLD/L0mEQgCD9ZPW2uwkqapnJPl4kqcmeU9rbVGSRVt7gg2v8bCjsyIJto39kny/tfbTJGmtfb+19i9VdVtVzUmSqvpRVb2v+03Jl6pq3679wG5/aVX9cVX9aMPJq2pKVV1UVV/tVjz9xjb9dgA7vhuT/Eq3fXKSBes6quoFVfXFqvpaVd1eVYd27fOramFV3Zrklo3sr19ZuqnreI24tKrurqrPJHnGtvzSADuS1tpDSc5Mck53fX1lVX26qnapqhVV9bR1Y6vqnqrat7tW39pdm2+pqgO6/o9W1V9W1ZeT/GlVHVRVn+n+Ln9HVR3YjTt31LX9vaPm/4Oq+v+q6gtJDt22/yVg6wiSYNv45yT7d39Y/EVVvWIjY56c5Euttecn+VyS/961fzDJB1trRyQZ3sT8ZyT5YWvtmCTHJPnvVTVrfL8CwE7tmiTzqmpakucl+fKovm8leVlr7cgk5yf5k1F9RyV5c2vtFZvYX2dT1/E3ZOQfGIclOTXJseP7tQB2Lq217ySZklHBfGvtP5LckJFrbqrqhUnuba19L8mHk1zVWntekr9NMvpWuKEkx7bWfqvr+/Pu7/LHJnmgqn45ycFJXpBkdpKjq+rlVXV0knld29yMXPdhu+HWNtgGWms/6v7AeFmS/5rk2qo6b4NhP0uy7nkbizNy60SSvDjJ67vtjye5eCOn+OUkzxv13Iw9M/KH1nfH5xsA7Nxaa3dW1cyMrEa6cYPuPZNcVVUHJ2lJdh3Vd3Nr7eHN7K+zqev4y5MsaK2tTfIv3WomAMbftRn5ZcCVGQl5ru3aX5zkjd32x5L86ahj/q61traq9kgyo7V2fZK01h5Nki5I+uUkX+vGPyUj1/Y9klzfWvv3btzCQX0pGARBEmwj3T8CbktyW1UtTXLaBkN+3lpr3fbajO3/z0rym621f9rqQgHYlIUZCfNfmWTvUe1/lOSzrbU3dGHTbaP6frzBHBvur7PR63hVzd3ycgHYUFU9KyN/134oyXNGdX0xyUFVNT0jv8T94x7Tbeqavv50Sf5na+1/bVDDO/tXDJOPW9tgG6iqQ7vfVK8zO8m9PQ//UpI3ddvzNjHmn5K8vap27c53SFU9eYuKBWBTPpLkva21pRu075nHHr49fwvn3tR1/HNJ3to9Q2m/jKxqBWALdCHRXya5dNQvcJMk3f71ST6Q5K7W2uqu6/Y89nfw/5bk8xvO21p7JMlwVb2+O8/uVfULGbm2n15VT+naZ3QP/P5cktdX1ZO61UzHj/NXhYGyIgm2jack+XD3AL81SZZn5EF/fV77/M4kf1NVf5DkpiQ/3MiYv04yM8kdVVVJVuWx2+EAGAetteE8/tkY6/xpRm5t+x9J/vcWTr+p6/j1SV6VZFmS+zLyG3MA+ntSVS3JyG3HazJye9oHNjH22iRfzeN/KfCbSa6sqnMzcm1+2yaOPSXJ/6qqC5L8PMlJrbV/rqrnJPniyKU9P0rya621O6rq2iRfz8jKqK9uxfeDba42CGKBSab7bcZPWmutquYlObm1duJE1wUAAMDOx4okmPyOTnJp9xvqf01y+gTXAwAAwE7KiiQAAAAAevGwbQAAAAB6ESQBAAAA0IsgCQAAAIBeBEkAwE6hqlpV/c2o/alVtaqqPj3GeZ5ZVdd127Oram6PY1657jxVtW9Vfbqqvl5Vy6rqxq59ZlX9ao+5eo0DABgEQRIAsLP4cZLnVtWTuv1fSrJyLBNU1dTW2r+01t7cNc1O8oRB0gYuSHJza+35rbXDkpzXtc9M0icg6jsOAGDcCZIAgJ3JjUl+pds+OcmCdR1V9YKq+mJVfa2qbq+qQ7v2+VW1sKpuTXJLtyLoG1W1W0ZCobdW1ZKqeuum5tjAfkmG1+201u7sNi9M8rJurnd15/l8Vd3RfY7dxLj5VXXpqO/x6W4F1JSq+mhX69Kqetf4/CcEAHZmUye6AACAbeiaJOd3t5k9L8lHkrys6/tWkpe11tZU1S8m+ZMkb+r6jkryvNbaw1U1M0laaz+rqvOTzGmtnZMkVfXUzcyxzp8nubaqzknymSRXttb+JSMrk36ntXZcN9cvJPml1tqjVXVwRkKvORsZN38T33V2khmtted245429v9cAACPJ0gCAHYarbU7uyDo5IysThptzyRXdaFNS7LrqL6bW2sP9zjF5uZYV8M/VdWzkrw2yeuSfK2qnruRuXZNcmlVzU6yNskhPc4/2neSPKuqPpzkfyf55zEeDwDwn7i1DQDY2SxMcnFG3dbW+aMkn+1W8ByfZNqovh/3nHtzc6zXWnu4tfbx1topSb6a5OUbGfauJN9L8vyMrETabRPnXJPH/51uWneOH3TH3pbkrCR/3fM7AABskiAJANjZfCTJe1trSzdo3zOPPXx7fs+5Hkmyx1jmqKpXdbetpar2SHJgkvs2MdcDrbX/SHJKkimbOOeKJLOrapeq2j/JC7q590myS2vtk0n+R0ZuzwMA2CqCJABgp9JaG26tfWgjXX+a5H9W1dfS//b/zyY5bN3DtnvOcXSSRVV1Z5IvJvnr1tpXk9yZZG1Vfb17MPZfJDmtqr6e5Nl5bFXUhuP+3yTfTbIsyYeS3NGNm5HktqpakuRvkvxez+8EALBJ1Vqb6BoAAAAA2A5YkQQAAABAL4IkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6EWQBAAAAEAvgiQAAAAAehEkAQAAANCLIAkAAACAXgRJAAAAAPQiSAIAAACgF0ESAAAAAL0IkgAAAADoZepEF7A19tlnnzZz5syJLgMAAABgh7F48eLvt9amb6xvuw6SZs6cmUWLFk10GQAAAAA7jKq6d1N9bhTdBoEAACAASURBVG0DAAAAoBdBEgAAAAC9CJIAAAAA6GW7fkYSAAAAwET6+c9/nuHh4Tz66KMTXcqYTZs2LUNDQ9l11117HyNIAgAAANhCw8PD2WOPPTJz5sxU1USX01trLatXr87w8HBmzZrV+zi3tgEAAABsoUcffTR77733dhUiJUlVZe+99x7zSipBEgAAAMBW2N5CpHW2pG5BEgAAAAC9CJIAAAAAxtmnPvWpVFW+9a1vJUmWLFmSG2+8cX3/bbfdlttvv32Txy9cuDAXXnjh+rmWLVu2vu/888/PZz7zmQFVvnk73cO2jz736okuYastvujUiS4BAAAA2IwFCxbkpS99aRYsWJD3vve9WbJkSRYtWpS5c+cmGQmSnvKUp+TYY4/9T8euWbMmJ5xwQk444YQkI0HScccdl8MOOyxJcsEFF2y7L7IBK5IAAAAAxtGPfvSjfOELX8gVV1yRa665Jj/72c9y/vnn59prr83s2bPz/ve/P3/5l3+ZSy65JLNnz87nP//5zJ8/P2eddVZe+MIX5nd/93fz0Y9+NOecc05uv/32LFy4MOeee25mz56db3/725k/f36uu+66JMktt9ySI488MkcccUROP/30/PSnP02SzJw5M+95z3ty1FFH5Ygjjli/MmprCZIAAAAAxtENN9yQ1772tTnkkEOy9957Z+nSpbngggvy1re+NUuWLMm73/3unHXWWXnXu96VJUuW5GUve1mSZHh4OLfffns+8IEPrJ/r2GOPzQknnJCLLrooS5YsyYEHHri+79FHH838+fNz7bXXZunSpVmzZk0uu+yy9f377LNP7rjjjrz97W/PxRdfPC7fTZAEAAAAMI4WLFiQefPmJUnmzZuXBQsW9DrupJNOypQpU3qf5+67786sWbNyyCGHJElOO+20fO5zn1vf/8Y3vjFJcvTRR2fFihW9592cne4ZSQAAAACD8vDDD+fWW2/N0qVLU1VZu3ZtqiqHH374Ex775Cc/eVxr2X333ZMkU6ZMyZo1a8ZlTiuSAAAAAMbJddddl1NOOSX33ntvVqxYkfvvvz+zZs3Kfffdl0ceeWT9uD322ONx+5uzqbGHHnpoVqxYkeXLlydJPvaxj+UVr3jF+HyRTRAkAQAAAIyTBQsW5A1veMPj2t70pjflwQcfzLJlyzJ79uxce+21Of7443P99devf9j25sybNy8XXXRRjjzyyHz7299e3z5t2rRceeWVOemkk3LEEUdkl112yVlnnTWQ77VOtdYGeoJBmjNnTlu0aNGYjjn63KsHVM22s/iiUye6BAAAACDJXXfdlec85zkTXcYW21j9VbW4tTZnY+OtSAIAAACgF0ESAAAAAL0IkgAAAADoRZAEAAAAQC+CJAAAAAB6GViQVFX7V9Vnq2pZVX2zqt7Rtf9hVa2sqiXdZ+6oY36vqpZX1d1V9ZpB1QYAAADA2E0d4Nxrkvx2a+2OqtojyeKqurnru6S1dvHowVV1WJJ5SQ5P8swkn6mqQ1prawdYIwAAAMBAHH3u1eM63+KLTn3CMTfddFPe8Y53ZO3atfn1X//1nHfeeeNaw8BWJLXWHmit3dFtP5LkriQzNnPIiUmuaa39tLX23STLk7xgUPUBAAAA7EjWrl2bs88+O//4j/+YZcuWZcGCBVm2bNm4nmObPCOpqmYmOTLJl7umc6rqzqr6SFU9vWubkeT+UYcNZyPBU1WdWVWLqmrRqlWrBlg1AAAAwPbjK1/5Sg466KA861nPym677ZZ58+blhhtuGNdzDDxIqqqnJPlkkne21v4tyWVJDkwyO8kDSf5sLPO11i5vrc1prc2ZPn36uNcLAAAAsD1auXJl9t9///X7Q0NDWbly5bieY6BBUlXtmpEQ6W9ba3+fJK2177XW1rbW/iPJX+Wx29dWJtl/1OFDXRsAAAAAk8Ag39pWSa5Icldr7QOj2vcbNewNSb7RbS9MMq+qdq+qWUkOTvKVQdUHAAAAsCOZMWNG7r//sacGDQ8PZ8aMzT2ueuwG+da2lyQ5JcnSqlrStf1+kpOranaSlmRFkt9IktbaN6vqE0mWZeSNb2d7YxsAAABAP8ccc0zuueeefPe7382MGTNyzTXX5OMf//i4nmNgQVJr7QtJaiNdN27mmPcled+gamLnM96vWpwIfV7vCAAAwOSzrf89N3Xq1Fx66aV5zWtek7Vr1+b000/P4YcfPr7nGNfZAAAAAJgwc+fOzdy5cwc2/8Df2gYAAADAjkGQBAAAAEAvgiQAAAAAehEkAQAAANCLIAkAAACAXgRJAAAAAPQydaILAAAAANgR3XfBEeM63wHnL33CMaeffno+/elP5xnPeEa+8Y1vjOv5EyuSAAAAAHYY8+fPz0033TSw+QVJAAAAADuIl7/85dlrr70GNr8gCQAAAIBeBEkAAAAA9CJIAgAAAKAXQRIAAAAAvUyd6AIAAAAAdkQHnL90m5/z5JNPzm233Zbvf//7GRoaynvf+96cccYZ4za/IAkAAABgB7FgwYKBzu/WNgAAAAB6ESQBAAAA0IsgCQAAAGArtNYmuoQtsiV1C5IAAAAAttC0adOyevXq7S5Maq1l9erVmTZt2piO87BtAAAAgC00NDSU4eHhrFq1aqJLGbNp06ZlaGhoTMcIkgAAAAC20K677ppZs2ZNdBnbjFvbAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6EWQBAAAAEAvgiQAAAAAehlYkFRV+1fVZ6tqWVV9s6re0bXvVVU3V9U93c+nd+1VVR+qquVVdWdVHTWo2gAAAAAYu0GuSFqT5Ldba4cleVGSs6vqsCTnJbmltXZwklu6/SR5XZKDu8+ZSS4bYG0AAAAAjNHAgqTW2gOttTu67UeS3JVkRpITk1zVDbsqyeu77ROTXN1GfCnJ06pqv0HVBwAAAMDYbJNnJFXVzCRHJvlykn1baw90XQ8m2bfbnpHk/lGHDXdtG851ZlUtqqpFq1atGljNAAAAADzewIOkqnpKkk8meWdr7d9G97XWWpI2lvlaa5e31ua01uZMnz59HCsFAAAAYHMGGiRV1a4ZCZH+trX2913z99bdstb9fKhrX5lk/1GHD3VtAAAAAEwCUwc1cVVVkiuS3NVa+8CoroVJTktyYffzhlHt51TVNUlemOSHo26BA3hCR5979USXsNUWX3TqRJcAAACwSQMLkpK8JMkpSZZW1ZKu7fczEiB9oqrOSHJvkrd0fTcmmZtkeZJ/T/K2AdYGAAAAwBgNLEhqrX0hSW2i+9UbGd+SnD2oegAAAADYOtvkrW0AAAAAbP8ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6EWQBAAAAEAvgiQAAAAAehEkAQAAANCLIAkAAACAXgRJAAAAAPQiSAIAAACgF0ESAAAAAL0IkgAAAADoRZAEAAAAQC+CJAAAAAB6ESQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKAXQRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6EWQBAAAAEAvgiQAAAAAehEkAQAAANBLryCpqm7p0wYAAADAjmuzQVJVTauqvZLsU1VPr6q9us/MJDOe4NiPVNVDVfWNUW1/WFUrq2pJ95k7qu/3qmp5Vd1dVa/Zuq8FAAAAwHib+gT9v5HknUmemWRxkura/y3JpU9w7Ee7MVdv0H5Ja+3i0Q1VdViSeUkO7871mao6pLW29om+AAAAAADbxmaDpNbaB5N8sKp+s7X24bFM3Fr7XLdyqY8Tk1zTWvtpku9W1fIkL0jyxbGcEwAAAIDBeaIVSUmS1tqHq+rYJDNHH9Na23C1UR/nVNWpSRYl+e3W2g8ycpvcl0aNGc4mbp2rqjOTnJkkBxxwwBacHgAAAIAt0fdh2x9LcnGSlyY5pvvM2YLzXZbkwCSzkzyQ5M/GOkFr7fLW2pzW2pzp06dvQQkAAAAAbIleK5IyEhod1lprW3Oy1tr31m1X1V8l+XS3uzLJ/qOGDnVtAAAAAEwSvVYkJflGkv+ytSerqv1G7b6hmzdJFiaZV1W7V9WsJAcn+crWng8AAACA8dN3RdI+SZZV1VeS/HRdY2vthE0dUFULkrwyyT5VNZzkPUleWVWzk7QkKzLyVri01r5ZVZ9IsizJmiRne2MbAAAAwOTSN0j6w7FO3Fo7eSPNV2xm/PuSvG+s5wEAAABg2+j71rb/M+hCAAAAAJjcegVJVfVIRm5HS5Ldkuya5MettacOqjAAAAAAJpe+K5L2WLddVZXkxCQvGlRRAAAAAEw+fd/atl4b8akkrxlAPQAAAABMUn1vbXvjqN1dksxJ8uhAKgIAAABgUur71rbjR22vSbIiI7e3AQAAALCT6PuMpLcNuhAAAAAAJre+t7YNJflwkpd0TZ9P8o7W2vCgCgOAzTn63KsnuoSttviiUye6BAAAGJO+D9u+MsnCJM/sPv/QtQEAAACwk+gbJE1vrV3ZWlvTfT6aZPoA6wIAAABgkukbJK2uql+rqind59eSrB5kYQAAAABMLn2DpNOTvCXJg0keSPLmJPMHVBMAAAAAk1Cvh20nuSDJaa21HyRJVe2V5OKMBEwAAAAA7AT6rkh63roQKUlaaw8nOXIwJQEAwP/P3r3HWVLWd+L/fJlBxnhBkZElDGSIF4yKogxe4g0vSQhR8AKCSQTUXdb8vCarkd1NWEPcXRQTEzUxIasCxox4B41rJAjRFRUZuQyCrIgjDIuCeIlGiUKe3x9VPXNounuqZ/r06Zl5v1+vfnXVU3WqvudU1VNV33qqCgBYioYmknapqvtO9fQtkoa2ZgIAAABgBzA0GfQnST5fVR/o+49O8t/HExIAAAAAS9GgRFJr7ayquiTJ0/qi57bWrhpfWAAAAAAsNYNvT+sTR5JHAMCiO/i1Z006hG227rTjJh0CAMA2G/qMJAAAAAB2chJJAAAAAAwikQQAAADAIBJJAAAAAAwikQQAAADAIBJJAAAAAAwikQQAAADAIBJJAAAAAAwikQQAAADAIBJJAAAAAAwikQQAAADAIBJJAAAAAAwikQQAAADAIBJJAAAAAAwytkRSVb2rqm6uqitHyvaoqvOq6mv9//v25VVVb62qa6vqiqp69LjiAgAAAGDrjLNF0hlJDptWdlKS81trD0pyft+fJL+e5EH934lJ3jHGuAAAAADYCmNLJLXWPpPku9OKj0xyZt99ZpJnj5Sf1TpfSHKfqtp7XLEBAAAAMH+L/YykvVprN/Xd30qyV9+9T5IbRsbb2JcBAAAAsERM7GHbrbWWpM33c1V1YlVdUlWX3HLLLWOIDAAAAICZLHYi6dtTt6z1/2/uy29Msu/IeKv6srtorZ3eWlvTWluzcuXKsQYLAAAAwGbLF3l+5yY5Psmp/f9zRspfXlXvS/LYJD8YuQUOAICdyMGvPWvSIWyzdacdN+kQAGAsxpZIqqq1SQ5NsmdVbUzy39IlkN5fVS9J8s0kz+9H/0SSw5Ncm+THSV40rrgAAAAA2DpjSyS11l4wy6CnzzBuS/KyccUCAAAAwLab2MO2AQAAANi+SCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDLJ90AAAAAOwcDn7tWZMOYZutO+24SYcAE6VFEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDLJ90AABsdv0pB046hAWx38nrJx0CAAAwBlokAQAAADCIRBIAAAAAg0gkAQAAADCIZyRthzxDBQAAAJgELZIAAAAAGGQiLZKqakOSHya5I8ntrbU1VbVHkrOTrE6yIcnzW2vfm0R8AAAAANzVJFskPbW1dlBrbU3ff1KS81trD0pyft8PAAAAwBKxlG5tOzLJmX33mUmePcFYAAAAAJhmUomkluRTVbWuqk7sy/Zqrd3Ud38ryV6TCQ0AAACAmUzqrW1PbK3dWFX3T3JeVX11dGBrrVVVm+mDfeLpxCTZb7/9xh8pAAAwNge/9qxJh7DN1p123KRDAFg0E2mR1Fq7sf9/c5KPJHlMkm9X1d5J0v+/eZbPnt5aW9NaW7Ny5crFChkAAABgp7foLZKq6h5Jdmmt/bDv/tUkpyQ5N8nxSU7t/5+z2LHBUnT9KQdOOoQFsd/J6ycdAgAAANtoEre27ZXkI1U1Nf+/a619sqq+lOT9VfWSJN9M8vwJxAYAAADALBY9kdRauy7JI2covzXJ0xc7HgAAAACGmdRb2wAAAADYzkgkAQAAADCIRBIAAAAAg0ziYdsAAADADu7g15416RC22brTjpt0CEuOFkkAAAAADCKRBAAAAMAgEkkAAAAADCKRBAAAAMAgEkkAAAAADOKtbQAAANvg+lMOnHQIC2K/k9dPOgRgO6BFEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDSCQBAAAAMIhEEgAAAACDLJ90AAAAAABL0fWnHDjpEBbEfievX7BpSSQBwIQ4MAEAYHsjkQQAsAgkDgGAHYFnJAEAAAAwiEQSAAAAAIO4tQ0AABaYWxkB2FEtuRZJVXVYVV1TVddW1UmTjgcAAACAzpJKJFXVsiR/keTXkzw0yQuq6qGTjQoAAACAZOnd2vaYJNe21q5Lkqp6X5Ijk1w10agAAAAgbl2FJdUiKck+SW4Y6d/YlwEAAAAwYdVam3QMm1TVUUkOa639+77/hUke21p7+cg4JyY5se89IMk1ix7o5O2Z5DuTDoJFY3nvXCzvnYvlvXOxvHculvfOxfLeuVjeO5eddXn/Qmtt5UwDltqtbTcm2Xekf1Vftklr7fQkpy9mUEtNVV3SWlsz6ThYHJb3zsXy3rlY3jsXy3vnYnnvXCzvnYvlvXOxvO9qqd3a9qUkD6qq/avqbkmOTXLuhGMCAAAAIEusRVJr7faqenmSf0iyLMm7WmtfmXBYAAAAAGSJJZKSpLX2iSSfmHQcS9xOfWvfTsjy3rlY3jsXy3vnYnnvXCzvnYvlvXOxvHculvc0S+ph2wAAAAAsXUvtGUkAAAAALFESSXOoqv9aVV+pqiuq6rKqeuwWxj+jqo7axnkeWlU/6Oc39feMbZnmPOb7yyP9L62q48Y938VWVXf0v+mVVfWxqrrPpGOaUlUXVtWcbwOoql2q6q19/Our6ktVtf8c4x9RVSdtZTz3qar/b6T/56vqg0PHH7eq+tE8xn19Vb1mTHH8lzFN94v9unp9Vd0yUh+sHvj51VV15Tznuaaq3rqFcT6xWNtNVbWq+tuR/uX9b/HxMcxrZf+bX1pVT5rnZw+qqsO3cr4L8nv2y/snffxXV9XFVXXCyPCtrgumzWert/Pp22xVnVBVb9/KaR06tR7MsP/a5n3x1uq/09T2+tWq+t1JxLE1htZl08erqovGE9HiWsz6hs2WwLH2V6vqzdsyvcVUVa+uqp+b73iLue/eFjvAcfqS3xcvFQt5TLDQqmpDf551RVX9U1X9wqRjWookkmZRVY9P8swkj26tPSLJM5LcsEiz/2xr7aCRv39chHkemmTTgXhr7a9aa2ctwnwX20/63/ThSb6b5GWLOfPqbMt2d0ySn0/yiNbagUmek+T7s43cWju3tXbqVs7rPkk27aRaa/+vtTbXwdudxt9RVNWWniU3r0TS0HWgtfbY1tpBSU5OcvZIfbBhPvObj9baJa21V25hnMNba7OucwvsX5I8vKru3vf/SpIbxzSvpydZ31p7VGvts/P87EFJ5pVImloPFvj3/Hof/y+le+vpq6vqRcnsdcGA9Xu6eW/nWzGP+To0I/uvcZjndzi733afkOS/VtW+izz/rTW0LrvTeK21sf72i2gx65uttkjrwqJYCsfaSR6V5JlV9YRtneAiLZtXJ9liImn6eIu8794W2/txerLz7ot3NE/t66ULk/zBYs+8qpYt9jznSyJpdnsn+U5r7V+TpLX2ndba/0uSqjq5upYgV1bV6VVV0z9cVQf3Gcx1VfUPVbV3X/7Kqrqqz3C+b2gwVXVI/5kVVXWP/urNw/vud/UZ70ur6sh+/GVV9eY+xiuq6hV9+Yaq2rPvXtNn11cneWmS3+2vAjyp+hYcVfWQqrp4JI7VVbV+ru+4Hfl8kn2SpKoeUFWf7L/LZ6vqIX350f1veHlVfaYvW1ZVp/XrwBVV9R/78ntW1flV9eU+iz21LFZX1TVVdVaSK5PsW1Wv68e5vKpGdyhH98vy/9bMrSL2TnJTa+3fkqS1trG19r1+Pof18768qs7vyzZl96trcfGhPu4vTR009cv6Xf26cF1VTSUSTk3ygH6dOK1GWrhU1cP6OC/rf4MHTR9/YRbR/FTVs2pzq5J/rKq9RgY/sqo+X1Vfq6r/0I9f/XebauF1TF9+aL8enJvkqr7so/368ZWqOrEvOzXJ3fvv/N6+7Pf66V1ZVa/uy6avA39YVX82Evd/qKq3DPh+s62ne1XVR/plf3ltbp2xrKr+po/5U9WfIPXL+o3T17W6cyuPe1bVu2vzFZnn9eWjdchdfpO+/EdV9d/7WL4wbTnM1yeS/Ebf/YIka0fm85h+mV5aVRdV1QF9+QlV9eH+t/paVb1pNLaR7qOqu7p9UJI3JTmyX5Z3r6p3VNUl/Xf7o5HPHNLP6/L+99s9ySlJjuk/e0xNawHXrwurZ1gP9p36PfthV8+yvKbq/6ltcYstzVpr1yX5vSSvHPlNpuqCM6rqr6rqi0neNM/1anq9UDVwG5pLzV4/zbiMRz63OtP2X/2gJ/fjX1cjrRdqhrq3uu3vS33Zh6q/ij/0d5pjGdya5Np09Xaq6rdrc73519UfJPbby1v65X5+Va3syy+sqj+rqkuSvKrmcVxRsx8bzLht1Mx12dA670f9//dV1dS2uqnlSM2yz1yiFrq+ma0eOby6ljDrqmtlPFXvzrXczq2qTyc5f/w/w6KZ+LF2a+0nSS7L5uPBX+2X85er6gNVdc++fENVvamvPy6uqgf25UPr0/kcTx7ab/8f7NeT91bnlekuJl5QVRf0495lHZtlvKl9zalVtSk5UyP7q6p67Ugsm9bXCdoej9PvZHvbFy8VNa3lYW3ezxzab/PnVLd/P7WqfqtfJuur6gH9eDOeD9Ts5zxzGV0PZztWeUptvnPg0qq61xaWyaaWrlX19upbrfXb6Rur6svp1rWZzu1m20/MdG42Xq01fzP8Jblnuh3L/03yl0meMjJsj5Hu9yR5Vt99RpKjkuya5KIkK/vyY5K8q+/+f0l267vvM8N8D03yg37eU38P6Ie9Icmbk/xFkv/cl/2PJL89Nb0+3nsk+Z0kH0yyfDTmJBuS7Nl3r0lyYd/9+iSvGYljU38fw/599+vSZWVn/Y5L+S/Jj/r/y5J8IMlhff/5SR7Udz82yaf77vVJ9hldXklOTPIHffduSS5Jsn+6tyDeuy/fM90JRCVZneTfkjyuH/br/W/3c9OWzYVJ/qTvPjzJP84Q/6p+GV6W5E+SPKovX5nuKt7+06Z5QpK3991/l+SJffd+Sa4eWdYX9d9lzyS39st3dZIrR+a9qT/J25L8Vt99tyR3nz7+Yi3LaWX3TTa9RODfj/yer09yeR/nnv1v9fNJnpfkvH592CvJ9ekObA9Nd3V6/+nbfT+NK5Pcb3ocSQ7u15l7pKtDvpLuauf0deCeSb6eZNe+/6IkB87yPUeX4Wzr6dlJXj2ybu/ez/P2JAf15e/P5rriwsywrvXf++N99xuT/Nnob9v/35DNdchsv0nL5nrxTem3l61Zxkkeka4uW5FuvR+N8d7ZXMc9I8mHRn6z6/rfYUWSbybZd4bldVSSM6b/ztO+27L+93pEunX9uiSHjM5/hs++PneuT6/sl8ed1oPR33MLy+vKJI/vu0/NDNtZZtj+0u0TfjLDenRGko8nWbaV69VovTCfbeiO3Hnfdn22XD/NtowPzeb1YPrvfUa6+n2XJA9Ncm1fPlvde7+Rz74hySvm8zvNsb3u13/PFUl+KcnHsnmb/8skx41sL1P16ckjn78wyV/23fM6rsjsxwYnZMC2MbTOG+1P10L2zL77bunq2btnln3m1tQJ4/zLeOqbmeqRFbnz/nrtyDzmWm4bM3L8uSP8ZbLH2lO/+X2TrEvy79LVxZ9Jco9+2OuSnNx3b0jyX/vu40Y+f0aG1afzOZ48NN25wKp09djns7l+3JB+HzzbOjbLeBv67/eoJP80Un5Vkn2T/Gq6t1JVP8+PJ3nyJLbDke+zPR6nr84S3xcvlb/MfUxwRpKjZlgvDk13J8be/bK9Mckf9cNelf64NXOfD9zlnGeG2DZk87HunyU5se+e7VjlY0me0Hffs1/X5lomHx+Z19uTnDAy39/vu2c7t5ttP3GXc7NxL0NN3GbRWvtRVR2c5ElJnprk7Ko6qbV2RpKnVtXvp2syuke6k8WPjXz8gCQPT3JedRdQliW5qR92RZL3VtVHk3x0ltl/trX2zBnKT0nypSS3pc9sp6v4j6jNV79XpFuxn5Hkr1prt/ff57vz+PrTvT/dDvrU/v8xmfs7LmV3r6qpK09Xp4v/nului/hAbb7gtVv/SvvyZwAAIABJREFU/3NJzqiq9yf5cF/2q0keMZIp3z3Jg9Id5P2Pqnpyuh3SPukqjiT5ZmvtC333M5K8u7X24+Quy2ZqHuvS7STupLW2sbqroE/r/86vqqPTrYufaa19Y4ZpTnlGkoeOfMd79989Sf6+dVcE/7Wqbh6JezafT3fLxqokH26tfa3uerFwElal21b3TleJfmNk2Dmtu/L4k+qu0D0myROTrG2t3ZHk21X1T0kOSfLPSS6e+j17r6yq5/Td+6Zb5rdOm/8Tk3yktfYvSVJVH05Xh5ybkXWgr18+na45/dXpdmLr5/piW1hPn5buwDb9d/lBVd03yTdaa5f140xfp+Zc19KtL8dO9bS+5ds0s/0mP013cDQ1/V+Z67vNpbV2RXWtTl6QrrXAqN2TnNlfdWnpTiymnN9a+0GSVNVVSX4h87tl4vnVtcJYnm7H/9B+Hje11r7Ux/bP/fTn85VG64Lp7rK8qns+xL1aa5/vy/8u3a0gQ8wV2Adaa3ds5Xo1aj7b0E9adytJF1x3BW7qeROz1U9zLeO5fLR1LTevqs0t4marex9eVW9Id0B2zyT/MDKdIb/TdMf0+4GHJHl5a+22qnp6ukTzl/rP3z3Jzf34/5buRCFJ/jabt82MlM/3uGK2Y4Nk+LYxpM4b9b+T/HlV7ZbksHT7pJ9U1Wz7zG/MMp2JGUN9M1M9skuS60a2jbXpTnyTuZfbedt4LLfkTPhY+0lVdXm6dfHPWmvfqqpnpltGn+unebd0xztT1o78H21FPKSemM/x5E/T1Z8bk6Q/bl2d5P/M8D1mWseumOU7p7V2aVXdv6p+Pt2J6vdaazdU1av6eC7tR71nH8tnZpvWmGzXx+mzWGr74qVirmOCuXyptXZT/5mvJ/lUX74+XT2SzH0+MNM5z8YZ5nNBVe2R7iLDH/Zlsx2rfC7Jn1bXUvfD/fnaXMtkLlP7/cdl5nO72fYTdzk328J8tplE0hz6BX9hkguru53r+OqayP5lkjV9xfv6dAtwVCX5Smvt8TNM9jeSPDnJs9It7AOnkj0D3C9dxb5rP89/6ef1vNbaNXcKYPYTm9uz+ZbG6XHP5ux0FduHk7Q+aXBgZv+OS9lPWmsHVXfrwj+ku/f6jCTfH63MprTWXlrdgx9/I8m6/oCn0l2xHj3ZmKoAVyY5uLX2s6rakM2/8b8MjO9f+/93ZJbts6/8/neS/11V307y7GyuROeyS7qrLbdNi3t0vnPOeySGv6uuKe5vJPlEdc2GrxsQw7i9LcmfttbOrapD0115mNKmjTu9f7pNy6yf1jPStQr5cVVdmOHbz12m1/tf6Z418tUk7x7w+V0yy3o6h+nL9e4zDNvi8p7JFn6Tn7X+ksjWTn+ac9O1xjw0XT045Y+TXNBae05/8nfhyLDZ1unR5T7jMqzuAfavSdfy6HtVdcZs485itJ6dPp+56oK5ltfWeFS6A/GZTMWxNevVUEPrvak4Zqqf3p7Zl/FcRn/LLWX6zkjy7Nba5X09fujIsK35nc5urb28uoeyfqq6WwoqXWud/zzg86Pr6NT853VckdmPDR6bAfX91tR5fcLswiS/lu6C09QtRTPuM5ewBalvtrIemWu5zWd72m5M8Fj7s621Z/bL6Qt9IqLSJexeMFu4s3RvsZ6Y5/HkoRm2nW7tvuoD6Vp1/btsPmmtJP+ztfbXAz4/Ttv9cfoMtqd98VKx6TiqumdW3W1k2Oi28W8j/f+WzctkrvOBoec8T03X+um9Sf4o3S2KMx6rJDm1qv4+XUu1z1XVrw35br3p2+yWlteM+4kkV08/N2utfXoL09omnpE0i6o6oO58b+FB6ZorTy3s7/QZyJkePnxNkpXVPUQwVbVrdfct7pKuufMF6ZrL7p4uMTTUX6fLiL433W0nSVfJvqL6bEBVPaovPy/Jf6z+wWp9RjXpmswd3Hc/b2TaP0xyr5lm2lr7eroN7Q+zeYcz43ecx3eZqP4qwyuT/KckP07yjepa9qQ6j+y7H9Ba+2Jr7eQkt6S7KvsPSX6nqnbtx3lwVd0j3fK8ud85PTXdFcmZnJfkRbX5ORx7zDLeXVTVo/urSFMV6yPSrZdfSPdMkP3nmOankrxiZFpb2lnNuk5U1S+mu6L61iTn9HHMOv4i2j2bH456/LRhR1b3jLH7pTtB+FKSz6ZrPbCsuueSPDnJxbmr3dNdtftxdfesP25k2M+m1oV+es+uqp/r14nn9GV30Vr7Yrr16Tcz8hyO2fStX2ZcT9M1h/6dvnxZdc/t2VbnZeQhlzNc/ZrrN1lo70rXdHl6q63R5X3CwGl9u6p+qd9+njPLOPdOtyP/QXWtWX69L78myd5VdUiSVHcP/PLcdd3fkOTR/TiPTtekfqu07uGoP6zNbzI6dq7xp/Qnum9OdzA11/Tnu15N/65Dt6Etma1+GrKMh9Y9s9W990pyU78d/9ZMH9zC7zSj1tol6W7JeVW63/Koqrr/1Lxr81tgdsnmY4nfzMytDuZ7XDHbscFcRuuyoXXedGcneVG6Fiaf7Mtm22cuVQtV38xVj/xibX4D5zEjn9ma5bbdWgrH2v3V/lP7cb+Q5Am1+flH96iqB4+MfszI/89nmrnqiXkeT85ltL6bbR2bPt50Z6fblxyVLqmUPpYX1+ZnQu0zVV9NwvZ6nD7ddrgvXio2ZPP56hEZ3hp5ylznA4P1CehXJzmuXw9mPFbp18P1rbU3pju/eEhmXybfTNeqabfqWp0/fZbZz3ZuN+N+omY+NxsriaTZ3TNdE+arquqKdE1FX98f1P9NuucF/EO6leVOWms/TVc5v7G6ZrOXpWuuuCzJ31Z3xeXSJG9tM79B4Um1+YFdl1X3sMrj0l3l/7t0O7xDqupp6a6Q7Zrkiqr6St+fdK0dru/LL093cJp0GdU/r+7hnXeMzPNjSZ5Td35Y6aizk/x2utvc5vqO243W2qXpmv++IN3Jw0v67/KVJEf2o51W3QPSrkx3T+3l6X7bq5J8uS//63TZ7PcmWdMv3+PStTSZab6fTHfF85Lqmu/O57X090/ysX6+V6TLar+9tXZLuqbxH+6/w9kzfPaVfXxXVNf0/qVzzah1D4r9XHUPiZv+8OznJ7myj//hSc7awvjj8HNVtXHk7/fSXXH4QFWtS/KdaeNfkeSCdBXzH7fugZ4f6csvT/LpdPclf2uGeX0y3RXmq9Ntf6O3Jp2ebjt7b2vty+munF2c5ItJ/le/ns3m/Uk+12a+bWwms62nr0p3G8D6dM2tHzpwenN5Q5L79svz8mxuLjxlrt9kQbXuofJvnWHQm5L8z6q6NMOvDJ6U7ra7izLL7bittcvT1dFfTXcr2ef68p+mO4F4W/+bnJfuhOeCdAcFl1X3MMUPJdmjr5Nfnu7+9W3xkiR/029v90j37IyZPKD6Vw6nW7fe2lob0tpt8Ho1w3Y+dBvaktnqpyHLeEv7ryRz1r1/mG57/Vxmqbd7s/1Oc3ljusTKDemeL/ip/pjivPQP4U53IviYvl5/Wrrb2KfHPt/jitmODeayqS7LwDpvhml8KslT0j075Kd92Wz7zCVpoeqbOeqRn6R729In+33VD7N5m96a5bY9m+Sx9qi/SneSN/U8qrV9PJ9Pd0I45b59+auS/O4s01qI48m5nJ5u3blgtnVs+njTJ9Ba+0q6JMSNrb9FqLX2qX4an+9/uw9mwhcHt9Pj9GT73hcvFX+T5Cn9b/H4zL9V1esz+/nAvPTbyNp0F1dnO1Z5db8srkjys3R3jsy4TFprN6RbL67s/894njDHud1s+4m7nJtty/ceYuohVAAssure2vCW1tqO9BYeFlhV3bO1NvXGkpOS7N1ae9WEw2KBVNWPWmvzaZ3Mdm5qm+6vKP9Fkq+11rb45k4mp7rboNa01rbppBRgR6FFEsAiq6r7VNX/TfcsAEkktuQ3+tY2V6a7ZegNkw4I2Cb/ob9q/JV0t2BM+rk0ADAvWiQBAAAAMIgWSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEALAFVfWjOYYd2r+FcaZhG/rXU19RVf9UVb+whfm8vqrm+7ppAIBFI5EEADBeT22tPSLJhUn+YMKxAABsE4kkAIABqnNaVV3ZtzI6ZmTwvavq76vqmqr6q6qa6Rjr80n26ae1uqo+3bdUOr+q9pthfg+oqk9W1bqq+mxVPWRMXw0AYDCJJACAYZ6b5KAkj0zyjCSnVdXe/bDHJHlFkocmeUA/7nSHJflo3/22JGf2LZXem+StM4x/epJXtNYOTvKaJH+5QN8DAGCrLZ90AAAA24knJlnbWrsjyber6p+SHJLkn5Nc3Fq7Lkmqam0/7gf7z11QVXsk+VGSP+zLHp/Nyab3JHnT6Iyq6p5JfjnJB6pqqni3cXwpAID5kEgCANh2bY7+pyb5frqWR3+U5PcGTG+XJN9vrR20MOEBACwMt7YBAAzz2STHVNWyqlqZ5MlJLu6HPaaq9u+fjXRMkv8z+sHW2u1JXp3kuL510kVJju0H/1Y/7dHx/znJN6rq6GTT85keOabvBQAwmEQSAMAcqmp5kn9N8pEkVyS5PMmnk/x+a+1b/WhfSvL2JFcn+UY/7p201m5KsjbJy9I9T+lFVXVFkhcmedUMs/6tJC+pqsuTfCXJkQv4tQAAtkq1Nr0lNgAAU/qWQH/TWnvMpGMBAJg0LZIAAGZRVS9N14roDyYdCwDAUqBFEgAAAACDaJEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMMtZEUlVtqKr1VXVZVV3Sl+1RVedV1df6//fty6uq3lpV11bVFVX16HHGBgAAAMD8VGttfBOv2pBkTWvtOyNlb0ry3dbaqVV1UpL7ttZeV1WHJ3lFksOTPDbJn7fWHjvX9Pfcc8+2evXqscUPAAAAsLNZt27dd1prK2catnyxg0lyZJJD++4zk1yY5HV9+Vmty2x9oaruU1V7t9Zumm1Cq1evziWXXDLmcAEAAAB2HlX1zdmGjfsZSS3Jp6pqXVWd2JftNZIc+laSvfrufZLcMPLZjX0ZAAAAAEvAuFskPbG1dmNV3T/JeVX11dGBrbVWVfO6t65PSJ2YJPvtt9/CRQoAAADAnMbaIqm1dmP//+YkH0nymCTfrqq9k6T/f3M/+o1J9h35+Kq+bPo0T2+trWmtrVm5csbb9QAAAAAYg7G1SKqqeyTZpbX2w777V5OckuTcJMcnObX/f07/kXOTvLyq3pfuYds/mOv5SAAAAACT9rOf/SwbN27MbbfdNulQ5m3FihVZtWpVdt1118GfGeetbXsl+UhVTc3n71prn6yqLyV5f1W9JMk3kzy/H/8T6d7Ydm2SHyd50RhjAwAAANhmGzduzL3uda+sXr06fQ5ku9Bay6233pqNGzdm//33H/y5sSWSWmvXJXnkDOW3Jnn6DOUtycvGFQ8AAADAQrvtttu2uyRSklRV7ne/++WWW26Z1+fG/dY2AAAAgB3a9pZEmrI1cUskAQAAACywj370o6mqfPWr3QvsL7vssnziE5/YNPzCCy/MRRddNOvnzz333Jx66qmbpnXVVVdtGnbyySfnH//xH8cU+dwkkgAAAAAW2Nq1a/PEJz4xa9euTTK/RNLtt9+eI444IieddFKSuyaSTjnllDzjGc8YY/Szq+7RRNunNWvWtEsuuWTSYQAL6ODXnjXpEHZ46047btIhAADADuPqq6/OL/3SL92p7Ec/+lEOOOCAXHDBBXnWs56V9evX54EPfGB+8pOfZJ999skLXvCCvOUtb8myZcuycuXKvO1tb8s73/nOrFixIpdeemme8IQn5BGPeEQuueSS/OZv/mae+cxnZvfdd8/uu++eD33oQ/njP/7jPPOZz8xRRx2V888/P695zWty++2355BDDsk73vGO7Lbbblm9enWOP/74fOxjH8vPfvazfOADH8hDHvKQQfFX1brW2pqZvq8WSQAAAAAL6Jxzzslhhx2WBz/4wbnf/e6X9evX55RTTskxxxyTyy67LK973evy0pe+NL/7u7+byy67LE960pOSdG+Au+iii/Knf/qnm6b1y7/8yzniiCNy2mmn5bLLLssDHvCATcNuu+22nHDCCTn77LOzfv363H777XnHO96xafiee+6ZL3/5y/md3/mdvPnNb16Q7yaRBAAAALCA1q5dm2OPPTZJcuyxx266vW1Ljj766CxbtmzwfK655prsv//+efCDH5wkOf744/OZz3xm0/DnPve5SZKDDz44GzZsGDzduSxfkKkAAAAAkO9+97v59Kc/nfXr16eqcscdd6Sq8rCHPWyLn73HPe6xoLHstttuSZJly5bl9ttvX5BpapEEAAAAsEA++MEP5oUvfGG++c1vZsOGDbnhhhuy//775/rrr88Pf/jDTePd6173ulP/XGYb94ADDsiGDRty7bXXJkne85735ClPecrCfJFZSCQBAAAALJC1a9fmOc95zp3Knve85+Vb3/pWrrrqqhx00EE5++yz86xnPSsf+chHctBBB+Wzn/3snNM89thjc9ppp+VRj3pUvv71r28qX7FiRd797nfn6KOPzoEHHphddtklL33pS8fyvaZ4axuwpHhr2/h5axsAACycmd56tj3x1jYAAAAAxkIiCQAAAIBBJJIAAAAAGEQiCQAAAIBBJJIAAAAAGEQiCQAAAIBBJJIAAAAAdhCf/OQnc8ABB+SBD3xgTj311AWf/vIFnyIAAAAAOfi1Zy3o9Naddtycw++444687GUvy3nnnZdVq1blkEMOyRFHHJGHPvShCxaDFkkAAAAAO4CLL744D3zgA/OLv/iLudvd7pZjjz0255xzzoLOQyIJAAAAYAdw4403Zt99993Uv2rVqtx4440LOg+JJAAAAAAGkUgCAAAA2AHss88+ueGGGzb1b9y4Mfvss8+CzkMiCQAAAGAHcMghh+RrX/tavvGNb+SnP/1p3ve+9+WII45Y0Hl4axsAAADADmD58uV5+9vfnl/7tV/LHXfckRe/+MV52MMetrDzWNCpAQAAAJAkWXfacYs+z8MPPzyHH3742Kbv1jYAAAAABpFIAgAAAGAQiSQAAAAABpFIAgAAAGAQiSQAAAAABpFIAgAAAGAQiSQAAACAHcSLX/zi3P/+98/DH/7wsUx/+VimCgAAALCTu/6UAxd0evudvH6L45xwwgl5+ctfnuOOO25B5z1FiyQAAACAHcSTn/zk7LHHHmObvkQSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwyNgTSVW1rKouraqP9/37V9UXq+raqjq7qu7Wl+/W91/bD1897tgAAAAAdiQveMEL8vjHPz7XXHNNVq1alXe+850LOv3lCzq1mb0qydVJ7t33vzHJW1pr76uqv0rykiTv6P9/r7X2wKo6th/vmEWIDwAAAGDB7Xfy+kWf59q1a8c6/bG2SKqqVUl+I8n/6vsrydOSfLAf5cwkz+67j+z70w9/ej8+AAAAAEvAuFsk/VmS309yr77/fkm+31q7ve/fmGSfvnufJDckSWvt9qr6QT/+d0YnWFUnJjkxSfbbb7+xBX7wa88a27TprDvtuEmHAAAAAMzD2FokVdUzk9zcWlu3kNNtrZ3eWlvTWluzcuXKhZw0AAAAAHMYZ4ukJyQ5oqoOT7Ii3TOS/jzJfapqed8qaVWSG/vxb0yyb5KNVbU8ye5Jbh1jfAAAAADbrLWW7fHpPK21eX9mbC2SWmv/ubW2qrW2OsmxST7dWvutJBckOaof7fgk5/Td5/b96Yd/um3NNwIAAABYJCtWrMitt966VUmZSWqt5dZbb82KFSvm9bnFeGvbdK9L8r6qekOSS5NMvYfunUneU1XXJvluuuQTAAAAwJK1atWqbNy4MbfccsukQ5m3FStWZNWqVfP6zKIkklprFya5sO++LsljZhjntiRHL0Y8AAAAAAth1113zf777z/pMBbN2G5tAwAAAGDHIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCBjSyRV1YqquriqLq+qr1TVH/Xl+1fVF6vq2qo6u6ru1pfv1vdf2w9fPa7YAAAAAJi/cbZI+tckT2utPTLJQUkOq6rHJXljkre01h6Y5HtJXtKP/5Ik3+vL39KPBwAAAMASMbZEUuv8qO/dtf9rSZ6W5IN9+ZlJnt13H9n3px/+9KqqccUHAAAAwPyM9RlJVbWsqi5LcnOS85J8Pcn3W2u396NsTLJP371PkhuSpB/+gyT3m2GaJ1bVJVV1yS233DLO8AEAAAAYMdZEUmvtjtbaQUlWJXlMkocswDRPb62taa2tWbly5TbHCAAAAMAwi/LWttba95NckOTxSe5TVcv7QauS3Nh335hk3yTph++e5NbFiA8AAACALRvnW9tWVtV9+u67J/mVJFenSygd1Y92fJJz+u5z+/70wz/dWmvjig8AAACA+Vm+5VG22t5JzqyqZekSVu9vrX28qq5K8r6qekOSS5O8sx//nUneU1XXJvlukmPHGBsAAAAA8zS2RFJr7Yokj5qh/Lp0z0uaXn5bkqPHFQ8AAAAA22ZRnpEEAAAAwPZPIgkAAACAQSSSAAAAABhEIgkAAACAQSSSAAAAABhkUCKpqs4fUgYAAADAjmv5XAOrakWSn0uyZ1XdN0n1g+6dZJ8xxwYAAADAEjJnIinJf0zy6iQ/n2RdNieS/jnJ28cYFwAAAABLzJyJpNbanyf586p6RWvtbYsUEwAAAABL0JZaJCVJWmtvq6pfTrJ69DOttbPGFBcAAAAAS8ygRFJVvSfJA5JcluSOvrglkUgCAAAA2EkMSiQlWZPkoa21Ns5gAAAAAFi6dhk43pVJ/t04AwEAAABgaRvaImnPJFdV1cVJ/nWqsLV2xFiiAgAAAGDJGZpIev04gwAAAABg6Rv61rZ/GncgAAAAACxtQ9/a9sN0b2lLkrsl2TXJv7TW7j2uwAAAAABYWoa2SLrXVHdVVZIjkzxuXEEBAAAAsPQMfWvbJq3z0SS/NoZ4AAAAAFiiht7a9tyR3l2SrEly21giAgAAAGBJGvrWtmeNdN+eZEO629sAAAAA2EkMfUbSi8YdCAAAAABL26BnJFXVqqr6SFXd3P99qKpWjTs4AAAAAJaOoQ/bfneSc5P8fP/3sb4MAAAAgJ3E0ETSytbau1trt/d/ZyRZOca4AAAAAFhihiaSbq2q366qZf3fbye5dZyBAQAAALC0DE0kvTjJ85N8K8lNSY5KcsKYYgIAAABgCRr01rYkpyQ5vrX2vSSpqj2SvDldggkAAACAncDQFkmPmEoiJUlr7btJHjWekAAAAABYioYmknapqvtO9fQtkoa2ZgIAAABgBzA0GfQnST5fVR/o+49O8t/HExIAAAAAS9GgRFJr7ayquiTJ0/qi57bWrhpfWAAAAAAsNYNvT+sTR5JHAAAAADupoc9IAgAAAGAnJ5EEAAAAwCASSQAAAAAMIpEEAAAAwCBjSyRV1b5VdUFVXVVVX6mqV/Xle1TVeVX1tf7/ffvyqqq3VtW1VXVFVT16XLEBAAAAMH/jbJF0e5L/1Fp7aJLHJXlZVT00yUlJzm+tPSjJ+X1/kvx6kgf1fycmeccYYwMAAABgnsaWSGqt3dRa+3Lf/cMkVyfZJ8mRSc7sRzszybP77iOTnNU6X0hyn6rae1zxAQAAADA/i/KMpKpaneRRSb6YZK/W2k39oG8l2avv3ifJDSMf29iXAQAAALAEjD2RVFX3TPKhJK9urf3z6LDWWkvS5jm9E6vqkqq65JZbblnASAEAAACYy1gTSVW1a7ok0ntbax/ui789dcta///mvvzGJPuOfHxVX3YnrbXTW2trWmtrVq5cOb7gAQAAALiTcb61rZK8M8nVrbU/HRl0bpLj++7jk5wzUn5c//a2xyX5wcgtcAAAAABM2PIxTvsJSV6YZH1VXdaX/ZckpyZ5f1W9JMk3kzy/H/aJJIcnuTbJj5O8aIyxAQAAADBPY0sktdb+T5KaZfDTZxi/JXnZuOIBAAAAYNssylvbAAAAANj+jfPWNgBgO3Hwa8+adAg7vHWnHTfpEAAAtpkWSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMIpEEAAAAwCASSQAAAAAMsnzSAbDzuv6UAycdwg5vv5PXTzoEAAAAdiBaJAEAAAAwiEQSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwiEQSAAAAAIOMLZFUVe+qqpur6sqRsj2q6ryq+lr//759eVXVW6vq2qqkgOAGAAAgAElEQVS6oqoePa64AAAAANg642yRdEaSw6aVnZTk/Nbag5Kc3/cnya8neVD/d2KSd4wxLgAAAAC2wtgSSa21zyT57rTiI5Oc2XefmeTZI+Vntc4XktynqvYeV2wAAAAAzN/yRZ7fXq21m/rubyXZq+/eJ8kNI+Nt7MtuyjRVdWK6VkvZb7/9xhcpAACM2cGvPWvSIezw1p123KRDANihTOxh2621lqRtxedOb62taa2tWbly5RgiAwAAAGAmi51I+vbULWv9/5v78huT7Dsy3qq+DAAAAIAlYrETSecmOb7vPj7JOSPlx/Vvb3tckh+M3AIHAAAAwBIwtmckVdXaJIcm2bOqNib5b0lOTfL+qnpJkm8meX4/+ieSHJ7k2iQ/TvKiccUFAAAAwNYZWyKptfaCWQY9fYZxW5KXjSsWAAAAALbdxB62DQAAAMD2RSIJAAAAgEEkkgAAAAAYRCIJAAAAgEEkkgAAAAAYRCIJAAAAgEEkkgAAAAAYRCIJAAAAgEEkkgAAAAAYRCIJAAAAgEEkkgAAAAAYZPmkAwAAAIDFdPBrz5p0CDuFdacdN+kQGAMtkgAAAAAYRCIJAAAAgEEkkgAAAAAYRCIJAAAAgEEkkgAAAAAYxFvbAHYy159y4KRD2OHtd/L6SYcAAABjoUUSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwiEQSAAAAAINIJAEAAAAwyPJJBwAAsDO4/pQDJx3CDm+/k9dPOgQA2OFpkQQAAADAIBJJAAAAAAwikQQAAADAIBJJAAAAAAwikQQAAADAIBJJAAAAAAwikQQAAADAIBJJAAAAAAwikQQAAADAIBJJAAAAAAwikQQAAADAIEsukVRVh1XVNVV1bVWdNOl4AAAAAOgsn3QAo6pqWZK/SPIrSTYm+VJVndtau2qykQEAANuj6085cNIh7BT2O3n9pENgCbL9jd8ktr2l1iLpMUmuba1d11r7aZL3JTlywjEBAAAAkKRaa5OOYZOqOirJYa21f9/3vzDJY1trLx8Z58QkJ/a9ByS5ZtEDZaHsmeQ7kw4CdkK2PZgM2x5Mhm0PJsf2t/36hdbaypkGLKlb24ZorZ2e5PRJx8G2q6pLWmtrJh0H7GxsezAZtj2YDNseTI7tb8e01G5tuzHJviP9q/oy+P/bu/9ovar6TvzvjwkQSxEEIl+aC5NYEMWxBgmUFmutaIsUQS1I6ChB6TA41MHOVMVZ/TIj7azlrDhalVl0qGjBcQIKUqilKOVH1bEKCUSCAb9EBLkZfkTwB4xFSdzfP+4JXtOQnJvcJ8+9N6/XWs969tlnn/18bta6z8p63332AQAAAIZsqgVJtyY5uKoWVNWuSRYnuWbINQEAAACQKXZrW2ttfVX9YZLPJ5mV5OOttW8MuSwGxy2KMBx+92A4/O7BcPjdg+Hx+zcDTanNtgEAAACYuqbarW0AAAAATFGCJAAAAAB6ESSxw1XVx6vqkaq6c9i1wM6kqg6oqpuqanVVfaOqzhl2TbAzqKo5VXVLVX29+91737Brgp1JVc2qqtur6nPDrgV2FlV1X1WtqqqVVbV82PUwueyRxA5XVa9I8kSSS1tr/3LY9cDOoqr2T7J/a+22qtojyYokr2+trR5yaTCjVVUl2b219kRV7ZLky0nOaa19dcilwU6hqv59kkVJntNaO37Y9cDOoKruS7KotfbdYdfC5LMiiR2utfbFJI8Nuw7Y2bTWHmyt3da1H09yV5J5w60KZr425onucJfu5S95sANU1UiS303ysWHXAjBTCJIAdkJVNT/JYUm+NtxKYOfQ3VqzMskjSa5vrfndgx3jz5O8O8lPh10I7GRaki9U1YqqOnPYxTC5BEkAO5mq+sUkVyZ5Z2vth8OuB3YGrbUNrbWFSUaSHFlVbu2GAauq45M80lpbMexaYCf08tbay5K8NsnZ3fYmzBCCJICdSLc/y5VJPtVa++yw64GdTWvt+0luSnLssGuBncDRSU7o9mq5LMmrqup/Drck2Dm01tZ2748kuSrJkcOtiMkkSALYSXQb/l6c5K7W2geHXQ/sLKpqblXt1bWfneQ1Se4eblUw87XW3ttaG2mtzU+yOMmNrbU3D7ksmPGqavfuwS6pqt2T/HYST+yeQQRJ7HBVtSzJPyY5pKpGq+qMYdcEO4mjk7wlY3+RXdm9jht2UbAT2D/JTVV1R5JbM7ZHkseQAzBT7Zfky1X19SS3JPnb1tp1Q66JSVSteWgIAAAAAFtnRRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAAADQiyAJAOAZVNUTWzj3yqr63DOcu6+q9h1QTadX1QWDmBsAYGsESQAAAAD0IkgCANiCGrO0qu6sqlVVdcq408+pqr+tqm9W1V9U1TP+36qq5lbVlVV1a/c6uqqe1a1e2mvcuHuqar/NjR/oDwoA0MPsYRcAADDFvTHJwiQvTbJvklur6ovduSOTHJrk/iTXdWOveIZ5PpzkQ621L1fVgUk+31p7UVVdneQNST5RVb+a5P7W2sNV9b82HZ/kRQP6GQEAehEkAQBs2cuTLGutbUjycFX9Q5IjkvwwyS2ttXuTpKqWdWOfKUh6dZJDq2rj8XOq6heTXJ7kvCSfSLK4O97SeACAoREkAQBsu7aV4/GeleSo1tqT4zur6h+THFRVc5O8PsmfbWX89lUMALAd7JEEALBlX0pySlXN6sKeVyS5pTt3ZFUt6PZGOiXJl7cwzxeSvGPjQVUtTJLWWktyVZIPJrmrtfbolsYDAAyTIAkAYDOqanaSH2cs5LkjydeT3Jjk3a21h7phtya5IMldSb7djd3ojqoa7V4fTPLvkiyqqjuqanWSs8aNvTzJm/Oz29qylfEAAENRY38EAwBgvKp6aZK/bK0dOexaAACmCiuSAAA2UVVnJVmW5E+GXQsAwFRiRRIAAAAAvViRBAAAAEAvgiQAAAAAehEkAQAAANCLIAkAAACAXgRJAAAAAPQiSAIAAACgF0ESAAAAAL0IkgAAAADoRZAEAAAAQC+CJAAAAAB6ESQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKCX2cMuYHvsu+++bf78+cMuAwAAAGDGWLFixXdba3M3d25aB0nz58/P8uXLh10GAAAAwIxRVfc/0zm3tgEAAADQiyAJAAAAgF4ESQAAAAD0Mq33SAIAAAAYpqeeeiqjo6N58sknh13KhM2ZMycjIyPZZZddel8jSAIAAADYRqOjo9ljjz0yf/78VNWwy+mttZZHH300o6OjWbBgQe/r3NoGAAAAsI2efPLJ7LPPPtMqREqSqso+++wz4ZVUgiQAAACA7TDdQqSNtqVuQRIAAAAAvQiSAAAAACbZX//1X6eqcvfddydJVq5cmWuvvfbp8zfffHO+8pWvPOP111xzTd7//vc/Pdfq1aufPnfeeefl7//+7wdU+ZYJkgAAAAAm2bJly/Lyl788y5YtSzKxIGn9+vU54YQTcu655yb550HS+eefn1e/+tUDrP6ZVWttKB88GRYtWtSWL18+7DIAAKacw9916bBLYDusWHrasEsAoKe77rorL3rRi36u74knnsghhxySm266Ka973euyatWqHHTQQfmnf/qnzJs3L6eeemo+9KEPZdasWZk7d24++tGP5uKLL86cOXNy++235+ijj86v/MqvZPny5fn93//9HH/88dlzzz2z55575sorr8yf/umf5vjjj89JJ52UG264IX/8x3+c9evX54gjjsiFF16Y3XbbLfPnz8+SJUvyN3/zN3nqqafymc98Ji984Qt71V9VK1prizb381qRBAAAADCJrr766hx77LF5wQtekH322SerVq3K+eefn1NOOSUrV67Me97znpx11ln5oz/6o6xcuTK/8Ru/kSQZHR3NV77ylXzwgx98eq5f//VfzwknnJClS5dm5cqV+eVf/uWnzz355JM5/fTTc/nll2fVqlVZv359LrzwwqfP77vvvrntttvy9re/PR/4wAcm5WcTJAEAAABMomXLlmXx4sVJksWLFz99e9vWnHzyyZk1a1bvz/nmN7+ZBQsW5AUveEGSZMmSJfniF7/49Pk3vvGNSZLDDz889913X+95t2T2pMwCAAAAQB577LHceOONWbVqVaoqGzZsSFXlxS9+8Vav3X333Se1lt122y1JMmvWrKxfv35S5rQiCQAAAGCSXHHFFXnLW96S+++/P/fdd18eeOCBLFiwIN/5znfy+OOPPz1ujz32+LnjLXmmsYccckjuu+++rFmzJknyyU9+Mr/5m785OT/IMxAkAQAAAEySZcuW5Q1veMPP9f3e7/1eHnrooaxevToLFy7M5Zdfnte97nW56qqrsnDhwnzpS1/a4pyLFy/O0qVLc9hhh+Vb3/rW0/1z5szJJz7xiZx88sl5yUtekmc961k566yzBvJzbeSpbQAAM5Cntk1vntoGMH1s7qln04mntgEAAAAwEIIkAAAAAHoZWJBUVYdU1cpxrx9W1Turau+qur6q7unen9uNr6r6SFWtqao7quplg6oNAAAAgIkbWJDUWvtma21ha21hksOT/CjJVUnOTXJDa+3gJDd0x0ny2iQHd68zk1w4qNoAAAAAmLgddWvbMUm+1Vq7P8mJSS7p+i9J8vqufWKSS9uYrybZq6r230H1AQAAALAVOypIWpxkWdfer7X2YNd+KMl+XXtekgfGXTPa9QEAAAAwBcwe9AdU1a5JTkjy3k3PtdZaVbUJzndmxm59y4EHHjgpNQIAAABMtsPfdemkzrdi6WlbHXPdddflnHPOyYYNG/IHf/AHOffcc7d6zUTsiBVJr01yW2vt4e744Y23rHXvj3T9a5McMO66ka7v57TWLmqtLWqtLZo7d+4AywYAAACYPjZs2JCzzz47f/d3f5fVq1dn2bJlWb169aR+xo4Ikk7Nz25rS5Jrkizp2kuSXD2u/7Tu6W1HJfnBuFvgAAAAANiCW265JQcddFCe//znZ9ddd83ixYtz9dVXb/3CCRhokFRVuyd5TZLPjut+f5LXVNU9SV7dHSfJtUnuTbImyV8m+beDrA0AAABgJlm7dm0OOOBnN3uNjIxk7dp/drPXdhnoHkmttf+bZJ9N+h7N2FPcNh3bkpw9yHoAAAAA2HY76qltAAAAAAzQvHnz8sADDzx9PDo6mnnz5k3qZwiSAAAAAGaAI444Ivfcc0++/e1v5yc/+Ukuu+yynHDCCZP6GQO9tQ0AAABgZ7Vi6Wk79PNmz56dCy64IL/zO7+TDRs25G1ve1te/OIXT+5nTOpsAAAAAAzNcccdl+OOO25g87u1DQAAAIBeBEkAAAAA9CJIAgAAAKAXQRIAAAAAvQiSAAAAAOhFkAQAAABAL7OHXQAAAADATPSd818yqfMdeN6qrY5529vels997nN53vOelzvvvHNSPz+xIgkAAABgxjj99NNz3XXXDWx+QRIAAADADPGKV7wie++998DmFyQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKCX2cMuAAAAAGAmOvC8VTv8M0899dTcfPPN+e53v5uRkZG8733vyxlnnDFp8wuSAAAAAGaIZcuWDXR+t7YBAAAA0IsgCQAAAIBeBEkAAAAA26G1NuwStsm21D3QIKmq9qqqK6rq7qq6q6p+rar2rqrrq+qe7v253diqqo9U1ZqquqOqXjbI2gAAAAC215w5c/Loo49OuzCptZZHH300c+bMmdB1g95s+8NJrmutnVRVuyb5hST/MckNrbX3V9W5Sc5N8p4kr01ycPf61SQXdu8AAAAAU9LIyEhGR0ezbt26YZcyYXPmzMnIyMiErhlYkFRVeyZ5RZLTk6S19pMkP6mqE5O8sht2SZKbMxYknZjk0jYW4X21W820f2vtwUHVCAAAALA9dtlllyxYsGDYZewwg7y1bUGSdUk+UVW3V9XHqmr3JPuNC4ceSrJf156X5IFx1492fT+nqs6squVVtXw6pn0AAAAA09Ugg6TZSV6W5MLW2mFJ/m/GbmN7Wrf6aEI3EbbWLmqtLWqtLZo7d+6kFQsAAADAlg0ySBpNMtpa+1p3fEXGgqWHq2r/JOneH+nOr01ywLjrR7o+AAAAAKaAgQVJrbWHkjxQVYd0XcckWZ3kmiRLur4lSa7u2tckOa17ettRSX5gfyQAAACAqWPQT217R5JPdU9suzfJWzMWXn26qs5Icn+SN3Vjr01yXJI1SX7UjQUAAABgihhokNRaW5lk0WZOHbOZsS3J2YOsBwAAAIBtN8g9kgAAAACYQQRJAAAAAPQiSAIAAACgF0ESAAAAAL0IkgAAAADoRZAEAAAAQC+CJAAAAAB6ESQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKAXQRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6GWgQVJV3VdVq6pqZVUt7/r2rqrrq+qe7v25XX9V1Ueqak1V3VFVLxtkbQAAAABMzI5YkfRbrbWFrbVF3fG5SW5orR2c5IbuOElem+Tg7nVmkgt3QG0AAAAA9DSMW9tOTHJJ174kyevH9V/axnw1yV5Vtf8Q6gMAAABgMwYdJLUkX6iqFVV1Zte3X2vtwa79UJL9uva8JA+Mu3a06/s5VXVmVS2vquXr1q0bVN0AAAAAbGL2gOd/eWttbVU9L8n1VXX3+JOttVZVbSITttYuSnJRkixatGhC1wIAAACw7Qa6Iqm1trZ7fyTJVUmOTPLwxlvWuvdHuuFrkxww7vKRrg8AAACAKWBgQVJV7V5Ve2xsJ/ntJHcmuSbJkm7YkiRXd+1rkpzWPb3tqCQ/GHcLHAAAAABDNshb2/ZLclVVbfyc/9Vau66qbk3y6ao6I8n9Sd7Ujb82yXFJ1iT5UZK3DrA2AAAAACZoYEFSa+3eJC/dTP+jSY7ZTH9Lcvag6gEAAABg+wz6qW0AAAAAzBCCJAAAAAB6ESQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKAXQRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6KVXkFRVN/TpAwAAAGDmmr2lk1U1J8kvJNm3qp6bpLpTz0kyb8C1AQAAADCFbDFISvJvkrwzyS8lWZGfBUk/THLBAOsCAAAAYIrZYpDUWvtwkg9X1Ttaax/dQTUBAAAAMAVtbUVSkqS19tGq+vUk88df01q7dEB1AQAAADDF9N1s+5NJPpDk5UmO6F6Lel47q6pur6rPdccLquprVbWmqi6vql27/t264zXd+fnb8PMAAAAAMCC9ViRlLDQ6tLXWtuEzzklyV8Y26E6S/5rkQ621y6rqL5KckeTC7v17rbWDqmpxN+6Ubfg8AAAAAAag14qkJHcm+X8mOnlVjST53SQf644ryauSXNENuSTJ67v2id1xuvPHdOMBAAAAmAL6rkjaN8nqqrolyY83drbWTtjKdX+e5N1J9uiO90ny/dba+u54NMm8rj0vyQPdvOur6gfd+O/2rBEAAACAAeobJP3niU5cVccneaS1tqKqXjnR67cw75lJzkySAw88cLKmBQAAAGAr+j617R+2Ye6jk5xQVcclmZOxPZI+nGSvqprdrUoaSbK2G782yQFJRqtqdpI9kzy6mVouSnJRkixatGhb9mwCAAAAYBv0fWrb41X1w+71ZFVtqKofbuma1tp7W2sjrbX5SRYnubG19q+S3JTkpG7YkiRXd+1ruuN052/cxs29AQAAABiAviuSNu5xtHHD7BOTHLWNn/meJJdV1Z8luT3JxV3/xUk+WVVrkjyWsfAJAAAAgCmi7x5JT+tWCf11Vf2nJOf2vObmJDd37XuTHLmZMU8mOXmi9QAAAACwY/QKkqrqjeMOn5VkUZInB1IRAAAAAFNS3xVJrxvXXp/kvozd3gYAAADATqLvHklvHXQhAAAAAExtfZ/aNlJVV1XVI93ryqoaGXRxAAAAAEwdvYKkJJ9Ick2SX+pef9P1AQAAALCT6BskzW2tfaK1tr57/VWSuQOsCwAAAIAppm+Q9GhVvbmqZnWvNyd5dJCFAQAAADC19A2S3pbkTUkeSvJgkpOSnD6gmgAAAACYgno9tS3J+UmWtNa+lyRVtXeSD2QsYAIAAABgJ9B3RdKvbAyRkqS19liSwwZTEgAAAABTUd8g6VlV9dyNB92KpL6rmQAAAACYAfqGQf8tyT9W1We645OT/JfBlAQAAADAVNQrSGqtXVpVy5O8qut6Y2tt9eDKAgAAAGCq6X17WhccCY8AAAAAdlJ990gCAAAAYCcnSAIAAACgF0ESAAAAAL0IkgAAAADoRZAEAAAAQC+CJAAAAAB6ESQBAAAA0IsgCQAAAIBeBhYkVdWcqrqlqr5eVd+oqvd1/Quq6mtVtaaqLq+qXbv+3brjNd35+YOqDQAAAICJG+SKpB8neVVr7aVJFiY5tqqOSvJfk3yotXZQku8lOaMbf0aS73X9H+rGAQAAADBFzB7UxK21luSJ7nCX7tWSvCrJ73f9lyT5z0kuTHJi106SK5JcUFXVzQMwYx3+rkuHXQLbYcXS04ZdAgAA7DAD3SOpqmZV1cokjyS5Psm3kny/tba+GzKaZF7XnpfkgSTpzv8gyT6bmfPMqlpeVcvXrVs3yPIBAAAAGGegQVJrbUNrbWGSkSRHJnnhJMx5UWttUWtt0dy5c7e7RgAAAAD62SFPbWutfT/JTUl+LcleVbXxlrqRJGu79tokByRJd37PJI/uiPoAAAAA2LpBPrVtblXt1bWfneQ1Se7KWKB0UjdsSZKru/Y13XG68zfaHwkAAABg6hjYZttJ9k9ySVXNylhg9enW2ueqanWSy6rqz5LcnuTibvzFST5ZVWuSPJZk8QBrAwAAAGCCBvnUtjuSHLaZ/nsztl/Spv1PJjl5UPUAAAAAsH12yB5JAAAAAEx/giQAAAAAehEkAQAAANCLIAkAAACAXgRJAAAAAPQiSAIAAACgF0ESAAAAAL0IkgAAAADoRZAEAAAAQC+CJAAAAAB6ESQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKAXQRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0MrAgqaoOqKqbqmp1VX2jqs7p+veuquur6p7u/bldf1XVR6pqTVXdUVUvG1RtAAAAAEzcIFckrU/yH1prhyY5KsnZVXVoknOT3NBaOzjJDd1xkrw2ycHd68wkFw6wNgAAAAAmaGBBUmvtwdbabV378SR3JZmX5MQkl3TDLkny+q59YpJL25ivJtmrqvYfVH0AAAAATMwO2SOpquYnOSzJ15Ls11p7sDv1UJL9uva8JA+Mu2y069t0rjOranlVLV+3bt3AagYAAADg5w08SKqqX0xyZZJ3ttZ+OP5ca60laROZr7V2UWttUWtt0dy5cyexUgAAAAC2ZKBBUlXtkrEQ6VOttc923Q9vvGWte3+k61+b5IBxl490fQAAAABMAYN8alsluTjJXa21D447dU2SJV17SZKrx/Wf1j297agkPxh3CxwAAAAAQzZ7gHMfneQtSVZV1cqu7z8meX+ST1fVGUnuT/Km7ty1SY5LsibJj5K8dYC1AQAAADBBAwuSWmtfTlLPcPqYzYxvSc4eVD0AAAAAbJ8d8tQ2AAAAAKY/QRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9CJIAAAAA6EWQBAAAAEAvgiQAAAAAehEkAQAAANCLIAkAAACAXmYPuwAAAACmh8PfdemwS2A7rFh62rBLYAawIgkAAACAXqxIAgCAKeY7579k2CWwjQ48b9WwSwAYKCuSAAAAAOhFkAQAAABAL4IkAAAAAHoZWJBUVR+vqkeq6s5xfXtX1fVVdU/3/tyuv6rqI1W1pqruqKqXDaouAAAAALbNIFck/VWSYzfpOzfJDa21g5Pc0B0nyWuTHNy9zkxy4QDrAgAAAGAbDCxIaq19Mcljm3SfmOSSrn1JkteP67+0jflqkr2qav9B1QYAAADAxO3oPZL2a6092LUfSrJf156X5IFx40a7PgAAAACmiKFttt1aa0naRK+rqjOranlVLV+3bt0AKgMAAABgc3Z0kPTwxlvWuvdHuv61SQ4YN26k6/tnWmsXtdYWtdYWzZ07d6DFAgAAAPAzOzpIuibJkq69JMnV4/pP657edlSSH4y7BQ4AAACAKWD2oCauqmVJXplk36oaTfKfkrw/yaer6owk9yd5Uzf82iTHJVmT5EdJ3jqougAAAADYNgMLklprpz7DqWM2M7YlOXtQtQAAAACw/Ya22TYAAAAA04sgCQAAAIBeBEkAAAAA9DKwPZIAYGfwnfNfMuwS2EYHnrdq2CUAAEw7ViQBAAAA0IsgCQAAAIBeBEkAAAAA9CJIAgAAAKAXm21PwOHvunTYJbAdViw9bdglAAAAwLRmRRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0MnvYBcCO8p3zXzLsEthGB563atglAAAAECuSAAAAAOhJkAQAAABAL4IkAAAAAHoRJAEAAADQy5TbbLuqjk3y4SSzknystfb+IZcEAAAA054HEE1fU+kBRFNqRVJVzUry35O8NsmhSU6tqkOHWxUAAAAAyRQLkpIcmWRNa+3e1tpPklyW5MQh1wQAAABApl6QNC/JA+OORyQFbZkAAAaSSURBVLs+AAAAAIasWmvDruFpVXVSkmNba3/QHb8lya+21v5w3Jgzk5zZHR6S5Js7vFCmq32TfHfYRQAzju8WYBB8twCD4LuFvv5Fa23u5k5Mtc221yY5YNzxSNf3tNbaRUku2pFFMTNU1fLW2qJh1wHMLL5bgEHw3QIMgu8WJsNUu7Xt1iQHV9WCqto1yeIk1wy5JgAAAAAyxVYktdbWV9UfJvl8kllJPt5a+8aQywIAAAAgUyxISpLW2rVJrh12HcxIbokEBsF3CzAIvluAQfDdwnabUpttAwAAADB1TbU9kgAAAACYogRJzHhV9fGqeqSq7hx2LcDMUFUHVNVNVbW6qr5RVecMuyZg+quqOVV1S1V9vftued+wawJmjqqaVVW3V9Xnhl0L05sgiZ3BXyU5dthFADPK+iT/obV2aJKjkpxdVYcOuSZg+vtxkle11l6aZGGSY6vqqCHXBMwc5yS5a9hFMP0JkpjxWmtfTPLYsOsAZo7W2oOttdu69uMZ+0/ZvOFWBUx3bcwT3eEu3cuGpsB2q6qRJL+b5GPDroXpT5AEANuhquYnOSzJ14ZbCTATdLeerEzySJLrW2u+W4DJ8OdJ3p3kp8MuhOlPkAQA26iqfjHJlUne2Vr74bDrAaa/1tqG1trCJCNJjqyqfznsmoDpraqOT/JIa23FsGthZhAkAcA2qKpdMhYifaq19tlh1wPMLK217ye5KfZ5BLbf0UlOqKr7klyW5FVV9T+HWxLTmSAJACaoqirJxUnuaq19cNj1ADNDVc2tqr269rOTvCbJ3cOtCpjuWmvvba2NtNbmJ1mc5MbW2puHXBbTmCCJGa+qliX5xySHVNVoVZ0x7JqAae/oJG/J2F/0Vnav44ZdFDDt7Z/kpqq6I8mtGdsjyWO6AZhSqjUPggAAAABg66xIAgAAAKAXQRIAAAAAvQiSAAAAAOhFkAQAAABAL4IkAAAAAHoRJAEAM05VPbGFc6+sqs0+Ur2q7quqfSe5lpuratFkzrm9quqdVfULw64DAJh+BEkAADufdyYRJAEAEyZIAgBmpBqztKrurKpVVXXKuNPPqaq/rapvVtVfVNWzNrl2flXdVVV/WVXfqKovVNWzq+qFVXXLJuNWde1jqur27rM+XlW7bTLnWVW1dNzx6VV1Qdd+c1XdUlUrq+p/VNWsrv+J7mf4RlX9fVUd2a1wureqTujGzOrG3FpVd1TVv+n6X9mNvaKq7q6qT3X/Jv8uyS8luamqbprUf3QAYMYTJAEAM9UbkyxM8tIkr06ytKr2784dmeQdSQ5N8svd2E0dnOS/t9ZenOT7SX6vtXZ3kl2rakE35pQkl1fVnCR/leSU1tpLksxO8vZN5rsyyRvGHZ+S5LKqelHXPrq1tjDJhiT/qhuze5IbuxoeT/JnSV7TzXN+N+aMJD9orR2R5Igk/3pcfYdlbPXRoUme333GR5L8nyS/1Vr7rS38+wEA/DOCJABgpnp5kmWttQ2ttYeT/EPGgpYkuaW1dm9rbUOSZd3YTX27tbaya69IMr9rfzpjwU+698uTHNKN//+6/kuSvGL8ZK21dUnuraqjqmqfJC9M8r+THJPk8CS3VtXK7vj53WU/SXJd116V5B9aa0917Y31/HaS07prv5Zkn4yFYBt/ztHW2k+TrBx3DQDANpk97AIAAIagbeU4SX48rr0hybO79uVJPlNVn03SWmv3VNVLe37uZUnelOTuJFe11lpVVZJLWmvv3cz4p1prG2v76caaWms/raqN/4+rJO9orX1+/IVV9crN/Az+7wcAbBcrkgCAmepLSU7p9hCam7EVQhv3NzqyqhZ0eyOdkuTLfSdtrX0rY6HM/5uxUClJvplkflUd1B2/JWMroDZ1VZITk5yasVApSW5IclJVPS9JqmrvqvoXfetJ8vkkb6+qXbrrX1BVu2/lmseT7DGBzwAASOKvUgDADNOt1PlxxkKbX0vy9YytOHp3a+2hqnphkluTXJDkoCQ3dWMn4vIkS5MsSJLW2pNV9daMrVSa3c3/F5te1Fr7XlXdleTQ1totXd/qqvqTJF/ogq2nkpyd5P6etXwsY7es3datblqX5PVbueaiJNdV1f+xTxIAMBH1s9XSAADTX3eb2V+21o4cdi0AADONW9sAgBmjqs7K2ObZfzLsWgAAZiIrkgAAAADoxYokAAAAAHoRJAEAAADQiyAJAAAAgF4ESQAAAAD0IkgCAAAAoBdBEgAAAAC9/P9KrB04mKJFkwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1440x1440 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N57bFupyJCfH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        },
        "outputId": "6afcc47b-e88b-4022-b310-337aad3836eb"
      },
      "source": [
        "plt.figure(figsize=(12,7))\n",
        "\n",
        "sns.kdeplot(left_df['DistanceFromHome'], label='Employee who left', shade =True, color='r')\n",
        "sns.kdeplot(stayed_df['DistanceFromHome'], label='Employee who stay', shade=True,  color='b')\n",
        "\n",
        "plt.xlabel('Distance From Home')"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Distance From Home')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QRx5yRkc96rC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        },
        "outputId": "87b023ab-e5f6-4767-a281-2f706d78085d"
      },
      "source": [
        "plt.figure(figsize=(12,7))\n",
        "\n",
        "sns.kdeplot(left_df['YearsWithCurrManager'], label='Employee who left', shade =True, color='r')\n",
        "sns.kdeplot(stayed_df['YearsWithCurrManager'], label='Employee who stay', shade=True,  color='b')\n",
        "\n",
        "plt.xlabel('Years With CurrManager')"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Years With CurrManager')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "idDTzTn1Jqaq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        },
        "outputId": "ec8548ee-e74d-4c12-8c54-dcc2772de813"
      },
      "source": [
        "plt.figure(figsize=(12,7))\n",
        "\n",
        "sns.kdeplot(left_df['TotalWorkingYears'], label='Employee who left', shade =True, color='r')\n",
        "sns.kdeplot(stayed_df['TotalWorkingYears'], label='Employee who stay', shade=True,  color='b')\n",
        "\n",
        "plt.xlabel('Total Working Years')"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Total Working Years')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Am8fcRUpJwEb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "outputId": "8f3ab108-fda2-490f-d262-b36807cb2b1a"
      },
      "source": [
        "# Let's see the Gender vs. Monthly Income\n",
        "sns.boxplot(x = 'MonthlyIncome', y='Gender', data=employee_df)"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7af695a860>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jdYJe4E-Kb3X",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 531
        },
        "outputId": "4fa261e3-f873-4959-a509-396cb7978c75"
      },
      "source": [
        "plt.figure(figsize=(15,10))\n",
        "sns.boxplot(x='MonthlyIncome', y='JobRole', data=employee_df)"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7af5fe0358>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DIcPRz3GLM78",
        "colab_type": "text"
      },
      "source": [
        "## CREATE TESTING AND TRAINING DATASET & PERFORM DATA CLEANING"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nhxLorD6LQyj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "x_categorical = employee_df.select_dtypes(include=['object']).copy()\n",
        "x_numerical = employee_df.select_dtypes(exclude=['object']).drop('Attrition', axis=1).copy()\n"
      ],
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yfAHZ4A_KxIo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#handle categorical data with one hot endoding\n",
        "from sklearn.preprocessing import OneHotEncoder\n",
        "onehotencoder = OneHotEncoder()"
      ],
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6kJ_knGJOWYe",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        },
        "outputId": "5e35f095-5e35-4771-9831-f4ef5b1f0e1d"
      },
      "source": [
        "x_categorical = onehotencoder.fit_transform(x_categorical).toarray()\n",
        "\n",
        "x_categorical =pd.DataFrame(x_categorical)\n",
        "x_categorical.head()\n"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th>23</th>\n",
              "      <th>24</th>\n",
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              "      <td>0.0</td>\n",
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              "    <tr>\n",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    0    1    2    3    4    5    6   ...   19   20   21   22   23   24   25\n",
              "0  0.0  0.0  1.0  0.0  0.0  1.0  0.0  ...  0.0  0.0  1.0  0.0  0.0  0.0  1.0\n",
              "1  0.0  1.0  0.0  0.0  1.0  0.0  0.0  ...  0.0  1.0  0.0  0.0  0.0  1.0  0.0\n",
              "2  0.0  0.0  1.0  0.0  1.0  0.0  0.0  ...  0.0  0.0  0.0  0.0  0.0  0.0  1.0\n",
              "3  0.0  1.0  0.0  0.0  1.0  0.0  0.0  ...  0.0  1.0  0.0  0.0  0.0  1.0  0.0\n",
              "4  0.0  0.0  1.0  0.0  1.0  0.0  0.0  ...  0.0  0.0  0.0  0.0  0.0  1.0  0.0\n",
              "\n",
              "[5 rows x 26 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KwNJ3b1POD2d",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "outputId": "18635aa5-f960-4fe8-d113-6a03f335baf1"
      },
      "source": [
        "#scale the numerical values\n",
        "X_all = pd.concat([x_categorical, x_numerical], axis=1)\n",
        "X_all"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1465</th>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>36</td>\n",
              "      <td>884</td>\n",
              "      <td>23</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>41</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2571</td>\n",
              "      <td>12290</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>17</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>17</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1466</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>39</td>\n",
              "      <td>613</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>42</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>9991</td>\n",
              "      <td>21457</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1467</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>27</td>\n",
              "      <td>155</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>87</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>6142</td>\n",
              "      <td>5174</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1468</th>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>49</td>\n",
              "      <td>1023</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>63</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5390</td>\n",
              "      <td>13243</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>17</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>9</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1469</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>34</td>\n",
              "      <td>628</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>82</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4404</td>\n",
              "      <td>10228</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>12</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1470 rows × 50 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        0    1  ...  YearsSinceLastPromotion  YearsWithCurrManager\n",
              "0     0.0  0.0  ...                        0                     5\n",
              "1     0.0  1.0  ...                        1                     7\n",
              "2     0.0  0.0  ...                        0                     0\n",
              "3     0.0  1.0  ...                        3                     0\n",
              "4     0.0  0.0  ...                        2                     2\n",
              "...   ...  ...  ...                      ...                   ...\n",
              "1465  0.0  1.0  ...                        0                     3\n",
              "1466  0.0  0.0  ...                        1                     7\n",
              "1467  0.0  0.0  ...                        0                     3\n",
              "1468  0.0  1.0  ...                        0                     8\n",
              "1469  0.0  0.0  ...                        1                     2\n",
              "\n",
              "[1470 rows x 50 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rUOOsHcvPOtq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.preprocessing import MinMaxScaler\n",
        "scaler = MinMaxScaler()\n",
        "X = scaler.fit_transform(X_all)"
      ],
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5Ad62-AkPbSP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "outputId": "043e8fa7-6826-4af2-cea8-7d5111d283ca"
      },
      "source": [
        "X"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.        , 0.        , 1.        , ..., 0.22222222, 0.        ,\n",
              "        0.29411765],\n",
              "       [0.        , 1.        , 0.        , ..., 0.38888889, 0.06666667,\n",
              "        0.41176471],\n",
              "       [0.        , 0.        , 1.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       ...,\n",
              "       [0.        , 0.        , 1.        , ..., 0.11111111, 0.        ,\n",
              "        0.17647059],\n",
              "       [0.        , 1.        , 0.        , ..., 0.33333333, 0.        ,\n",
              "        0.47058824],\n",
              "       [0.        , 0.        , 1.        , ..., 0.16666667, 0.06666667,\n",
              "        0.11764706]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bzUIMgggPceI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        },
        "outputId": "99f42f42-fae5-4a80-9a6b-266f6d32a297"
      },
      "source": [
        "y = employee_df['Attrition']\n",
        "y"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       1\n",
              "1       0\n",
              "2       1\n",
              "3       0\n",
              "4       0\n",
              "       ..\n",
              "1465    0\n",
              "1466    0\n",
              "1467    0\n",
              "1468    0\n",
              "1469    0\n",
              "Name: Attrition, Length: 1470, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pIvkiz9NBLuk",
        "colab_type": "text"
      },
      "source": [
        "##TRAIN AND EVALUATE A LOGISTIC REGRESSION CLASSIFIER"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4qgt4fpoPpNb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X,y, test_size=0.25)\n"
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5iBf6lwkCG1B",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "421c303d-6107-4148-f794-327f568e7787"
      },
      "source": [
        "X_train.shape"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1102, 50)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yxLr7g3yCJXP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "56fd88e2-567d-41f1-9643-a3c6878359a5"
      },
      "source": [
        "X_test.shape"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(368, 50)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JT65fgUzCPRD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score"
      ],
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JKp36Gk4CZA6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        },
        "outputId": "1b1c88c7-6bde-4fdb-9791-250e3d9ec401"
      },
      "source": [
        "model = LogisticRegression()\n",
        "\n",
        "model.fit(X_train, y_train)"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
              "                   intercept_scaling=1, l1_ratio=None, max_iter=100,\n",
              "                   multi_class='auto', n_jobs=None, penalty='l2',\n",
              "                   random_state=None, solver='lbfgs', tol=0.0001, verbose=0,\n",
              "                   warm_start=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oMA08b7ICjVd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "y_pred = model.predict(X_test)"
      ],
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a4Zey6AECose",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "outputId": "7c19941f-f7ac-4ed0-bcb3-74316fa96a04"
      },
      "source": [
        "#What is the model predict\n",
        "y_pred"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,\n",
              "       1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1,\n",
              "       0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4w0b9HH3CqzW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.metrics import confusion_matrix, classification_report"
      ],
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FYq-bR09C13L",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "6bc90b4d-fc34-4f56-e9c3-d4781a50bc7a"
      },
      "source": [
        "print('Acccuracy {} %'.format(100 * accuracy_score(y_pred, y_test)))"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Acccuracy 89.40217391304348 %\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kpz84gM1DAbM",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "outputId": "542e9901-9e2f-428d-80b3-2b683cfe2d05"
      },
      "source": [
        "cm = confusion_matrix(y_pred, y_test)\n",
        "sns.heatmap(cm, annot=True)"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7af2def908>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 62
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAAD5CAYAAAAZf+9zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAVOUlEQVR4nO3de5RW1X3w8e+Pq5GL4A0ReaO1WINpvIZo1FQwMWLtQprWS42hCSlpamJi2qyIb1fQqA01oikRXWsMvOLbRCWihRijeK2aGO+GgKASiq8QZLygoCbCzOz3jznGR2RmnoFnZs9z+H5ce8159jnP2XvWYv3m5+/sc06klJAkdb9euScgSTsqA7AkZWIAlqRMDMCSlIkBWJIyMQBLUiZ9unqAzS+vdJ2b3ufPR5+WewrqgZY3Phrbe47OxJy+u/9Jm+NFxE7A/UB/WmPlTSmlaRGxH3ADsBvwOHBWSmlTRPQHrgMOB14BTksprWpvfDNgSdq6t4FxKaWDgUOAEyPiSODfgStSSn8KrAcmF8dPBtYX/VcUx7XLACypXFqaq2/tSK3eKD72LVoCxgE3Ff1zgVOK7QnFZ4r9x0dEuxm9AVhSuTQ3Vd86EBG9I+IpoBG4E/gt8FpK6Z0vrwZGFNsjgBcAiv2v01qmaJMBWFKppNRSdYuIKRHxWEWb8t5zpeaU0iHAPsAY4MBazrXLL8JJUrdqaan60JRSA9BQxXGvRcS9wFHAkIjoU2S5+wBrisPWACOB1RHRB9iF1otxbTIDllQuqaX61o6I2CMihhTbHwA+BSwD7gX+pjhsErCg2F5YfKbYf0/q4GlnZsCSyqWDi2udMByYGxG9aU1W56WUbo2Ip4EbIuJi4ElgdnH8bOD/RsQK4FXg9I4GMABLKpcOMtuqT5PSYuDQrfSvpLUevGX/H4C/7cwYBmBJpZKqWN3QUxiAJZVLJy7C5WYAllQuNSpBdAcDsKRyqd1FuC5nAJZULmbAkpSJF+EkKRMvwklSHilZA5akPKwBS1ImliAkKRMzYEnKpHlz7hlUzQAsqVwsQUhSJpYgJCkTM2BJysQALEl5JC/CSVIm1oAlKRNLEJKUiRmwJGViBixJmZgBS1ImTT6QXZLyMAOWpEysAUtSJmbAkpRJHWXAvXJPQJJqKrVU39oRESMj4t6IeDoilkbE14r+CyJiTUQ8VbSTKr4zNSJWRMQzEfHpjqZqBiypXGq3CqIJ+OeU0hMRMQh4PCLuLPZdkVK6rPLgiBgNnA4cBOwN3BURB6R23hJqBiypXFKqvrV7mrQ2pfREsb0RWAaMaOcrE4AbUkpvp5T+B1gBjGlvDAOwpHJpaam+VSki9gUOBR4uur4SEYsjYk5EDC36RgAvVHxtNe0HbAOwpJLpRACOiCkR8VhFm7Ll6SJiIDAf+HpKaQNwNbA/cAiwFpixrVO1BiypXDqxDC2l1AA0tLU/IvrSGnx/lFK6ufjOuor91wC3Fh/XACMrvr5P0dcmM2BJ5dLcXH1rR0QEMBtYllK6vKJ/eMVhE4ElxfZC4PSI6B8R+wGjgEfaG8MMWFK51G4d8NHAWcBvIuKpou984IyIOARIwCrgSwAppaURMQ94mtYVFGe3twICDMCSyqZGATil9CAQW9l1WzvfuQS4pNoxDMCSysVbkSUpj9TS/vrensQALKlc6uhZEAZgSeXSweqGnsQALKlczIDr39tvb2LS2d9k0+bNNDc186mxx/CVL571nmM2bdrE1Itm8PQzzzFkl8Fc9p2pjBg+bLvGXf27F/nmtOm89voGRv/ZKKZ/+1/o27cvc2+4mfk/vZ3evXuz65BduOj8c9l7r+0bS92vX/9+/OeCBvr170vv3n1YdOvd/ODSBr47cxofPepQNm58E4Cp51zI8iXPZp5tnaqjAOyNGG3o168vc2ZO5+a5V3HT3Fn84uHH+fWSZe855uZbFzF40EB+Pm8OZ512CpdfNafq8//Xz+5k1uz/fF//FVe3nuvn8+YweNBA5t96BwAfGrU/N86eyS3XXc2nxh7DjFnVj6WeY9Pbm/j7z3yZU8aeycRxf8cxY4/i4MM/DMD3LpzJxHFnMnHcmQbf7VGjh/F0hw4DcEQcGBHfioiZRftWRHyoOyaXU0Sw884fAKCpqYmmpiZab4x51z0PPMSEkz4JwAnHHcvDjz9FSonm5mYuu/KHnDb5HCZ+7svM+682lw2+R0qJhx//NSccdywAE076JPfc/xAAYw4/mA/stBMABx90IOteerkmv6e631tv/h6APn370KdvH1IPCASl0gUP4+kq7QbgiPgWcAOti5EfKVoA10fEeV0/vbyam5v5zKSz+cTJZ3DURw/lIwcd+J79jS+9wl577g5Anz69GThgZ157fQM333oHgwYO4MbZM7nxh//BTQtvZ/XvXuxwvNde38CggQPo06c3AMP22J3Gl15533E3/3QRxx55RA1+Q+XQq1cvbrnnR/zi6UX88r8fZvETSwH4+vn/xIL7fsx53zmXvv36Zp5lHWtJ1bfMOqoBTwYOSiltruyMiMuBpcD0rppYT9C7d2/mz53Fho1v8LWpF/HcylWM+pN9O/zeLx95gmd/u4pF9z4IwBtvvsnzL6xh4ICdmXzOVABe37iRzZub/pjhfvfb/8Ieu+3a4bl/esc9LF3+LNfOunTbfzFl1dLSwsRxZzJo8ECuvPZ7jDpwfy6/+EpeanyFvv36ctGM8/mHr07iqhk/zD3V+lSiVRAttD7Z/fkt+ocX+7aqeKTbFICrZlzMFz93xvbMMbvBgwYy5rCP8OCvHntPAN5zj914sfFl9tpzD5qamnnjzbcYsstgUoLzz/0yR3/s8Peda/7cWUBrDXjNi+s4e/Jn/7gvpcTGN96kqamZPn16s+6ll9lzj93+uP+hR5+kYe4NXDvrUvr169d1v7C6xcYNb/DwLx7n2HFHMeeq1usBmzdt5ubrf8oX/umzHXxbbUk9oLRQrY5qwF8H7o6In0dEQ9FuB+4GvtbWl1JKDSmlI1JKR9Rr8H11/Wts2PgGAH94+20eevRJ9vvgyPccM/aYI1lw210ALLrvAT52+MFEBEd/7DBuvOVnbC5ejbLq/63mrd//ocMxI4Ixh32ERfc9AMCC2+5i3LFHAbDs2RVceOlMrvz3aew2dEjNfk91r6G7DWHQ4IEA9N+pPx//izGsfG4Ve+z57h/a48cfx7PLV+aaYv0rSwkipXR7RBxA62s13nmy+xrg0Y6e8lPvXnplPf/74stobmkhtSQ+Pe5Yjjv6Y1x5zXUcdOABjD32SP765E8z9aLvMf7UL7DL4EF878LWsvhn/upE1qxt5NTPf5WUEkOH7MLM6d+uatxzv/wFvjltOj9ouI4PHbA/f33yCQDMmDWbt37/B77xr/8GwPBhe3DlpRd0ye+urrPHsN2Z/oML6N27FxG9uH3hXdx354NcO/8qdt1tKESwfOmzXPDN7+aeav2qo2dBRFdfgd388sr8f2bU4/z56NNyT0E90PLGR7f29LFOefM7Z1YdcwZ8+0fbPd728EYMSeXSVD//c24AllQudVSCMABLKpcecHGtWgZgSaVST8vQDMCSysUMWJIyMQBLUiYluhVZkuqK74STpFwMwJKUiasgJCkTM2BJysQALEl5pOb6KUH4Uk5J5VKj5wFHxMiIuDcino6IpRHxtaJ/14i4MyKeK34OLfqjeG/miohYHBGHdTRVA7CkUkktqerWgSbgn1NKo4EjgbMjYjRwHnB3SmkUrS+neOf9mOOBUUWbAlzd0QAGYEnlUqMMOKW0NqX0RLG9EVhG64spJgBzi8PmAqcU2xOA61KrXwFDImJ4e2MYgCWVS0snWpUiYl/gUOBhYFhKaW2x60VgWLE9Anih4murefdNQlvlRThJpZKaqo+slS8QLjSklBq2OGYgMB/4ekppQ8S7L9FIKaWI2OZlFwZgSeXSicy2CLYNbe2PiL60Bt8fpZRuLrrXRcTwlNLaosTQWPSvASrf3LtP0dcmSxCSSqVWF+GiNdWdDSxLKV1esWshMKnYngQsqOj/XLEa4kjg9YpSxVaZAUsql9otAz4aOAv4TUQ8VfSdD0wH5kXEZOB54NRi323AScAK4C3g8x0NYACWVCq1ehpaSulBoK23Jh+/leMTcHZnxjAASyqX+rkRzgAsqVxSU+4ZVM8ALKlU6uit9AZgSSVjAJakPMyAJSkTA7AkZZKa21o51vMYgCWVihmwJGWSWsyAJSkLM2BJyiQlM2BJysIMWJIyaXEVhCTl4UU4ScrEACxJmaTaPA64WxiAJZWKGbAkZeIyNEnKpNlVEJKUhxmwJGViDViSMnEVhCRlYgYsSZk0t/TKPYWqGYAllYolCEnKpMVVEJKUh8vQJCkTSxAVPrD3sV09hOrQsAFDck9BJVXLEkREzAFOBhpTSh8u+i4A/gF4qTjs/JTSbcW+qcBkoBk4J6V0R3vnNwOWVCo1XgVxLXAlcN0W/VeklC6r7IiI0cDpwEHA3sBdEXFASqm5rZPXz3oNSapC6kTr8Fwp3Q+8WuXQE4AbUkpvp5T+B1gBjGnvCwZgSaXSkqLqFhFTIuKxijalymG+EhGLI2JORAwt+kYAL1Qcs7roa5MBWFKppBSdaKkhpXRERWuoYoirgf2BQ4C1wIxtnas1YEml0tUvRU4prXtnOyKuAW4tPq4BRlYcuk/R1yYzYEmlkoiq27aIiOEVHycCS4rthcDpEdE/IvYDRgGPtHcuM2BJpdJU22Vo1wPHAbtHxGpgGnBcRBxC63W8VcCXAFJKSyNiHvA00ASc3d4KCDAASyqZbc1st3qulM7YSvfsdo6/BLik2vMbgCWVSlfXgGvJACypVGqZAXc1A7CkUjEDlqRMms2AJSmPOnojkQFYUrm0mAFLUh519DhgA7CkcvEinCRl0hKWICQpi3bv/e1hDMCSSsVVEJKUiasgJCkTV0FIUiaWICQpE5ehSVImzWbAkpSHGbAkZWIAlqRMavhKuC5nAJZUKmbAkpSJtyJLUiauA5akTCxBSFImBmBJysRnQUhSJtaAJSmTeloF0Sv3BCSpllpIVbeORMSciGiMiCUVfbtGxJ0R8Vzxc2jRHxExMyJWRMTiiDiso/MbgCWVSksnWhWuBU7cou884O6U0ijg7uIzwHhgVNGmAFd3dHIDsKRSSZ1oHZ4rpfuBV7fongDMLbbnAqdU9F+XWv0KGBIRw9s7vwFYUql0JgOOiCkR8VhFm1LFEMNSSmuL7ReBYcX2COCFiuNWF31t8iKcpFJpiuoXoqWUGoCGbR0rpZQiOjHgFsyAJZVKLUsQbVj3Tmmh+NlY9K8BRlYct0/R1yYDsKRSqfFFuK1ZCEwqticBCyr6P1eshjgSeL2iVLFVliAklUo1y8uqFRHXA8cBu0fEamAaMB2YFxGTgeeBU4vDbwNOAlYAbwGf7+j8BmBJpVLLW5FTSme0sev4rRybgLM7c34DsKRS8WE8kpRJcx09jscALKlUzIAlKZNkBixJedRTBuw64G7Sq1cvHn3kDhbcMrfjg1Vae4/Yi58s/D/c+9BC7vnlAiZ/6bPv2f+lsyexZv1Shu46JNMM618tn4bW1cyAu8k5X/0iy5c/x+BBg3JPRRk1NTVx4b9eypLFyxgwcGduv/cn3H/fQzz3zG/Ze8RefGLs0ax+4Xe5p1nX8ofV6pkBd4MRI4Zz0vjjmTPn+txTUWaN615myeJlALz5xls89+xK9hq+JwAXXPItLrlgBq3LSbWtmkhVt9y2OQBHRId3eajV5TMu5LypF9PSUk/VKXW1fUbuzYc/8iGefHwxJ4wfy9q163h6yTO5p1X3Uif+y217MuAL29pR+Yi3lpY3t2OI+veXJ32SxsaXeeLJ3+SeinqQnQfszDXXfZ9pU6fT1NTMV78xhcu+e2XuaZVCNzwLombarQFHxOK2dvHuMzDfp/IRb336jcj/Zyajj3/8CP7q5BMYf+I4dtqpP4MHD2LutTOZ9Pfn5J6aMunTpw/XzP0+t/zkZ/z81rs4cPQo/tcHR3DnAzcDMHzvYdzx3zfxl8efzkuNL2eebf3pCZlttaK9elNErAM+Dazfchfwy5TS3h0NsKMH4Ep/8Ymj+Ma5/8iEiZM6Prjkhg3Yca/y/8fV/8Zr6zcw7fzpW93/q18vYvzYU1n/6mvdPLP81qxfut3vNJ6072eqjjlzV83P+g7ljlZB3AoMTCk9teWOiLivS2YkldhHjzyMvzl9Ak8vfYZF988HYPpF3+eeOx/IPLPyaK6ji5jtZsC1YAasrdmRM2C1rRYZ8N99cGLVMefHz9/SozNgSaor9VQDNgBLKpWesLqhWgZgSaXSE24xrpYBWFKpWIKQpEzqaRWEAVhSqViCkKRMvAgnSZlYA5akTCxBSFIm9fQ8ZQOwpFLxtfSSlIklCEnKxBKEJGVSyww4IlYBG4FmoCmldERE7ArcCOwLrAJOTSlt+cz0qvhSTkml0gXvhBubUjokpXRE8fk84O6U0ijg7uLzNjEASyqV5pSqbttoAjC32J4LnLKtJzIASyqVFlLVrQoJWBQRj0fElKJvWEppbbH9Iu28H7Mj1oAllUpnasBFUJ1S0dVQvFT4HceklNZExJ7AnRGxvPL7KaUUEducShuAJZVKZ1ZBVL7BvY39a4qfjRFxCzAGWBcRw1NKayNiONC4rXO1BCGpVGpVgoiIAREx6J1t4ARgCbAQeOfV5pOABds6VzNgSaVSw4fxDANuiQhojZU/TindHhGPAvMiYjLwPHDqtg5gAJZUKs2pNg+kTCmtBA7eSv8rwPG1GMMALKlUvBNOkjLxWRCSlIkPZJekTFosQUhSHmbAkpRJrVZBdAcDsKRSsQQhSZlYgpCkTMyAJSkTM2BJyqQ5NeeeQtUMwJJKxVuRJSkTb0WWpEzMgCUpE1dBSFImroKQpEy8FVmSMrEGLEmZWAOWpEzMgCUpE9cBS1ImZsCSlImrICQpEy/CSVImliAkKRPvhJOkTMyAJSmTeqoBRz39tah3ETElpdSQex7qWfx3sePqlXsCO5gpuSegHsl/FzsoA7AkZWIAlqRMDMDdyzqftsZ/FzsoL8JJUiZmwJKUiQG4m0TEiRHxTESsiIjzcs9H+UXEnIhojIglueeiPAzA3SAiegOzgPHAaOCMiBidd1bqAa4FTsw9CeVjAO4eY4AVKaWVKaVNwA3AhMxzUmYppfuBV3PPQ/kYgLvHCOCFis+riz5JOzADsCRlYgDuHmuAkRWf9yn6JO3ADMDd41FgVETsFxH9gNOBhZnnJCkzA3A3SCk1AV8B7gCWAfNSSkvzzkq5RcT1wEPAn0XE6oiYnHtO6l7eCSdJmZgBS1ImBmBJysQALEmZGIAlKRMDsCRlYgCWpEwMwJKUiQFYkjL5/6uWdvH6P7CZAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3Ip7ry7jDKDQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "outputId": "9978cf22-d812-4e84-aa11-51337a9f0d21"
      },
      "source": [
        "print(classification_report(y_test, y_pred))"
      ],
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.90      0.99      0.94       309\n",
            "           1       0.86      0.41      0.55        59\n",
            "\n",
            "    accuracy                           0.89       368\n",
            "   macro avg       0.88      0.70      0.75       368\n",
            "weighted avg       0.89      0.89      0.88       368\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z1J7WDTeDiZ9",
        "colab_type": "text"
      },
      "source": [
        "## TRAIN AND EVALUATE A RANDOM FOREST CLASSIFIER"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fUh8-9hdDVJf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "outputId": "010c57a8-5b0b-41ef-d1b9-6798ed7ab617"
      },
      "source": [
        "from sklearn.ensemble import RandomForestClassifier\n",
        "\n",
        "model = RandomForestClassifier()\n",
        "model.fit(X_train, y_train)"
      ],
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n",
              "                       criterion='gini', max_depth=None, max_features='auto',\n",
              "                       max_leaf_nodes=None, max_samples=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, n_estimators=100,\n",
              "                       n_jobs=None, oob_score=False, random_state=None,\n",
              "                       verbose=0, warm_start=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w9teEhlTDvSc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "y_pred = model.predict(X_test)"
      ],
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oaV_bqNxDy-2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "outputId": "f76cbc42-02b8-48ae-b37f-86d46fb06751"
      },
      "source": [
        "cm = confusion_matrix(y_pred, y_test)\n",
        "sns.heatmap(cm, annot=True)"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7af10947f0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P_0RKUEhD6Kb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "outputId": "0ecf6db4-e9ea-4826-e027-fca34780a26c"
      },
      "source": [
        "print(classification_report(y_test, y_pred))"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.85      0.99      0.91       309\n",
            "           1       0.60      0.10      0.17        59\n",
            "\n",
            "    accuracy                           0.85       368\n",
            "   macro avg       0.73      0.54      0.54       368\n",
            "weighted avg       0.81      0.85      0.80       368\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Im4AfJK3EF-r",
        "colab_type": "text"
      },
      "source": [
        "## TRAIN AND EVALUATE A DEEP LEARNING MODEL "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "maBYihCJEBME",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import tensorflow as tf\n"
      ],
      "execution_count": 69,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ncGZUrYTEUYd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model = tf.keras.models.Sequential()\n",
        "model.add(tf.keras.layers.Dense(units=500, activation='relu', input_shape=(50,)))\n",
        "model.add(tf.keras.layers.Dense(units=500, activation='relu'))\n",
        "model.add(tf.keras.layers.Dense(units=500, activation='relu'))\n",
        "model.add(tf.keras.layers.Dense(units=1, activation='sigmoid'))"
      ],
      "execution_count": 71,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jTWSQhFvFTt1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "outputId": "5f2e2af8-6372-45cd-8790-bc1ab48d17ae"
      },
      "source": [
        "model.summary()\n"
      ],
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_1\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense (Dense)                (None, 500)               25500     \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 500)               250500    \n",
            "_________________________________________________________________\n",
            "dense_2 (Dense)              (None, 500)               250500    \n",
            "_________________________________________________________________\n",
            "dense_3 (Dense)              (None, 1)                 501       \n",
            "=================================================================\n",
            "Total params: 527,001\n",
            "Trainable params: 527,001\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fXoLR73dFaRA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model.compile(optimizer='Adam', loss='binary_crossentropy', metrics = ['accuracy']  )"
      ],
      "execution_count": 73,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nj214KqtFsn1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "5261c8e3-aaf5-4f84-b9bd-830a7f4e2525"
      },
      "source": [
        "epochs_hist = model.fit(X_train, y_train, epochs=100, batch_size=50\n",
        "                        )"
      ],
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.4652 - accuracy: 0.8339\n",
            "Epoch 2/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.3763 - accuracy: 0.8475\n",
            "Epoch 3/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.3360 - accuracy: 0.8675\n",
            "Epoch 4/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.3034 - accuracy: 0.8757\n",
            "Epoch 5/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.2777 - accuracy: 0.8866\n",
            "Epoch 6/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.2423 - accuracy: 0.9111\n",
            "Epoch 7/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.2091 - accuracy: 0.9211\n",
            "Epoch 8/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.1743 - accuracy: 0.9356\n",
            "Epoch 9/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.1691 - accuracy: 0.9319\n",
            "Epoch 10/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.1134 - accuracy: 0.9628\n",
            "Epoch 11/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.0955 - accuracy: 0.9619\n",
            "Epoch 12/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.0641 - accuracy: 0.9755\n",
            "Epoch 13/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.0816 - accuracy: 0.9655\n",
            "Epoch 14/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.0901 - accuracy: 0.9701\n",
            "Epoch 15/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.1732 - accuracy: 0.9419\n",
            "Epoch 16/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.1320 - accuracy: 0.9510\n",
            "Epoch 17/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.0692 - accuracy: 0.9746\n",
            "Epoch 18/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.0413 - accuracy: 0.9891\n",
            "Epoch 19/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 0.0197 - accuracy: 0.9936\n",
            "Epoch 20/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.0090 - accuracy: 0.9991\n",
            "Epoch 21/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.0039 - accuracy: 0.9991\n",
            "Epoch 22/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.0020 - accuracy: 1.0000\n",
            "Epoch 23/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 0.0011 - accuracy: 1.0000\n",
            "Epoch 24/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 7.5130e-04 - accuracy: 1.0000\n",
            "Epoch 25/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 5.6632e-04 - accuracy: 1.0000\n",
            "Epoch 26/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 4.7087e-04 - accuracy: 1.0000\n",
            "Epoch 27/100\n",
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            "Epoch 28/100\n",
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            "Epoch 29/100\n",
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            "Epoch 30/100\n",
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            "Epoch 33/100\n",
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            "Epoch 34/100\n",
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            "Epoch 35/100\n",
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            "Epoch 36/100\n",
            "23/23 [==============================] - 0s 10ms/step - loss: 1.0227e-04 - accuracy: 1.0000\n",
            "Epoch 37/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 9.1326e-05 - accuracy: 1.0000\n",
            "Epoch 38/100\n",
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            "Epoch 39/100\n",
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            "Epoch 40/100\n",
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            "Epoch 41/100\n",
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            "Epoch 42/100\n",
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            "Epoch 43/100\n",
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            "Epoch 44/100\n",
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            "Epoch 45/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 4.6346e-05 - accuracy: 1.0000\n",
            "Epoch 46/100\n",
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            "Epoch 47/100\n",
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            "Epoch 48/100\n",
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            "Epoch 49/100\n",
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            "Epoch 50/100\n",
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            "Epoch 51/100\n",
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            "Epoch 52/100\n",
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            "Epoch 53/100\n",
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            "Epoch 56/100\n",
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            "Epoch 57/100\n",
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            "Epoch 58/100\n",
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            "Epoch 59/100\n",
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            "Epoch 60/100\n",
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            "Epoch 61/100\n",
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            "Epoch 62/100\n",
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            "Epoch 63/100\n",
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            "Epoch 67/100\n",
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            "Epoch 68/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 1.0912e-05 - accuracy: 1.0000\n",
            "Epoch 69/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 1.0373e-05 - accuracy: 1.0000\n",
            "Epoch 70/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 9.9057e-06 - accuracy: 1.0000\n",
            "Epoch 71/100\n",
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            "Epoch 72/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 9.0556e-06 - accuracy: 1.0000\n",
            "Epoch 73/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 8.6113e-06 - accuracy: 1.0000\n",
            "Epoch 74/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 8.2770e-06 - accuracy: 1.0000\n",
            "Epoch 75/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 7.9223e-06 - accuracy: 1.0000\n",
            "Epoch 76/100\n",
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            "Epoch 77/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 7.3151e-06 - accuracy: 1.0000\n",
            "Epoch 78/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 7.0171e-06 - accuracy: 1.0000\n",
            "Epoch 79/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 6.7958e-06 - accuracy: 1.0000\n",
            "Epoch 80/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 6.5045e-06 - accuracy: 1.0000\n",
            "Epoch 81/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 6.2250e-06 - accuracy: 1.0000\n",
            "Epoch 82/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 6.0073e-06 - accuracy: 1.0000\n",
            "Epoch 83/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 5.7622e-06 - accuracy: 1.0000\n",
            "Epoch 84/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 5.5895e-06 - accuracy: 1.0000\n",
            "Epoch 85/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 5.5761e-06 - accuracy: 1.0000\n",
            "Epoch 86/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 5.3252e-06 - accuracy: 1.0000\n",
            "Epoch 87/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 4.9712e-06 - accuracy: 1.0000\n",
            "Epoch 88/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 4.7944e-06 - accuracy: 1.0000\n",
            "Epoch 89/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 4.6036e-06 - accuracy: 1.0000\n",
            "Epoch 90/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 4.4462e-06 - accuracy: 1.0000\n",
            "Epoch 91/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 4.3053e-06 - accuracy: 1.0000\n",
            "Epoch 92/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 4.1378e-06 - accuracy: 1.0000\n",
            "Epoch 93/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 4.0206e-06 - accuracy: 1.0000\n",
            "Epoch 94/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 3.9107e-06 - accuracy: 1.0000\n",
            "Epoch 95/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 3.7591e-06 - accuracy: 1.0000\n",
            "Epoch 96/100\n",
            "23/23 [==============================] - 0s 9ms/step - loss: 3.6502e-06 - accuracy: 1.0000\n",
            "Epoch 97/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 3.5527e-06 - accuracy: 1.0000\n",
            "Epoch 98/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 3.4252e-06 - accuracy: 1.0000\n",
            "Epoch 99/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 3.3383e-06 - accuracy: 1.0000\n",
            "Epoch 100/100\n",
            "23/23 [==============================] - 0s 8ms/step - loss: 3.2128e-06 - accuracy: 1.0000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1y4UjVCrF8Io",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "cfd17cbf-632e-40c8-d7fa-8ecc03679153"
      },
      "source": [
        "y_pred = model.predict(X_test)\n",
        "y_pred = (y_pred>0.5)\n",
        "y_pred"
      ],
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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          },
          "metadata": {
            "tags": []
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          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L988Hr9dGAp0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "eab45a50-d392-4441-d46a-787528ee4877"
      },
      "source": [
        "epochs_hist.history.keys()"
      ],
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_keys(['loss', 'accuracy'])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_LYcx--vGbFi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        },
        "outputId": "abe33f28-e8e3-406d-a84b-caccf23b8627"
      },
      "source": [
        "plt.plot(epochs_hist.history['loss'])\n",
        "plt.title('Model Loss Process During Tarining')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Training Loss')\n",
        "plt.legend('Trainign Loss')"
      ],
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f7aa8de1c50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 78
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jzZqnWy2Guy8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        },
        "outputId": "af21b8b5-582b-4e4a-bdef-fb3fb088143b"
      },
      "source": [
        "plt.plot(epochs_hist.history['accuracy'])\n",
        "plt.title('Model Accuracy During Tarining')\n",
        "plt.xlabel('Accuracy')\n",
        "plt.ylabel('Training Accuracy')\n",
        "plt.legend('Trainign Accuracy')"
      ],
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f7aabbfb5f8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9f4SizPMG-C6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "outputId": "80b9b474-a92a-49cd-8732-59567a9ecfef"
      },
      "source": [
        "cm = confusion_matrix(y_test, y_pred)\n",
        "sns.heatmap(cm, annot=True)"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f7aa8d9e9e8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2tLPWkgRHFRe",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "outputId": "deb45f54-9504-4815-db69-d1ef49f01f27"
      },
      "source": [
        "print(classification_report(y_test, y_pred))"
      ],
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.90      0.94      0.92       309\n",
            "           1       0.57      0.44      0.50        59\n",
            "\n",
            "    accuracy                           0.86       368\n",
            "   macro avg       0.73      0.69      0.71       368\n",
            "weighted avg       0.84      0.86      0.85       368\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "epBgkOxGHJyv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}