churn_prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "055beb34",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import necessary modules\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "from sklearn.metrics import accuracy_score, f1_score, recall_score\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from scipy.stats import chi2_contingency, pearsonr\n",
    "from sklearn.linear_model import LogisticRegression, SGDClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.model_selection import GridSearchCV"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87c131ef",
   "metadata": {},
   "source": [
    "# EDA\n",
    "## Exploring the Dataset and Target Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "6f2b8485",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9305-CDSKC</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>8</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>99.65</td>\n",
       "      <td>820.5</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1452-KIOVK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>22</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>89.10</td>\n",
       "      <td>1949.4</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6713-OKOMC</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>29.75</td>\n",
       "      <td>301.9</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7892-POOKP</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>28</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>104.80</td>\n",
       "      <td>3046.05</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6388-TABGU</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>62</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>56.15</td>\n",
       "      <td>3487.95</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
       "5  9305-CDSKC  Female              0      No         No       8          Yes   \n",
       "6  1452-KIOVK    Male              0      No        Yes      22          Yes   \n",
       "7  6713-OKOMC  Female              0      No         No      10           No   \n",
       "8  7892-POOKP  Female              0     Yes         No      28          Yes   \n",
       "9  6388-TABGU    Male              0      No        Yes      62          Yes   \n",
       "\n",
       "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
       "0  No phone service             DSL             No  ...               No   \n",
       "1                No             DSL            Yes  ...              Yes   \n",
       "2                No             DSL            Yes  ...               No   \n",
       "3  No phone service             DSL            Yes  ...              Yes   \n",
       "4                No     Fiber optic             No  ...               No   \n",
       "5               Yes     Fiber optic             No  ...              Yes   \n",
       "6               Yes     Fiber optic             No  ...               No   \n",
       "7  No phone service             DSL            Yes  ...               No   \n",
       "8               Yes     Fiber optic             No  ...              Yes   \n",
       "9                No             DSL            Yes  ...               No   \n",
       "\n",
       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
       "0          No          No              No  Month-to-month              Yes   \n",
       "1          No          No              No        One year               No   \n",
       "2          No          No              No  Month-to-month              Yes   \n",
       "3         Yes          No              No        One year               No   \n",
       "4          No          No              No  Month-to-month              Yes   \n",
       "5          No         Yes             Yes  Month-to-month              Yes   \n",
       "6          No         Yes              No  Month-to-month              Yes   \n",
       "7          No          No              No  Month-to-month               No   \n",
       "8         Yes         Yes             Yes  Month-to-month              Yes   \n",
       "9          No          No              No        One year               No   \n",
       "\n",
       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
       "0           Electronic check          29.85         29.85    No  \n",
       "1               Mailed check          56.95        1889.5    No  \n",
       "2               Mailed check          53.85        108.15   Yes  \n",
       "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
       "4           Electronic check          70.70        151.65   Yes  \n",
       "5           Electronic check          99.65         820.5   Yes  \n",
       "6    Credit card (automatic)          89.10        1949.4    No  \n",
       "7               Mailed check          29.75         301.9    No  \n",
       "8           Electronic check         104.80       3046.05   Yes  \n",
       "9  Bank transfer (automatic)          56.15       3487.95    No  \n",
       "\n",
       "[10 rows x 21 columns]"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('telco_churn.csv')\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "923e210d",
   "metadata": {},
   "source": [
    "The dataset has 21 columns. Target column is Churn, which consists of Yes/No entries for each observation. \n",
    "The purpose of our study is to create a model that predicts whether a customer will churn. (Classification)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "c0e6c2c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     0.73463\n",
       "Yes    0.26537\n",
       "Name: Churn, dtype: float64"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Churn'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4ea5eaf",
   "metadata": {},
   "source": [
    "Looking at the target variable, values are unbalanced. Only 26% of all data is Yes. Therefore we need to account for this imbalance while creating train-test datasets and evaluating prediction performance. F1 Score and Recall would give a better picture of prediction success for this data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "07060bf9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7043 entries, 0 to 7042\n",
      "Data columns (total 21 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   customerID        7043 non-null   object \n",
      " 1   gender            7043 non-null   object \n",
      " 2   SeniorCitizen     7043 non-null   int64  \n",
      " 3   Partner           7043 non-null   object \n",
      " 4   Dependents        7043 non-null   object \n",
      " 5   tenure            7043 non-null   int64  \n",
      " 6   PhoneService      7043 non-null   object \n",
      " 7   MultipleLines     7043 non-null   object \n",
      " 8   InternetService   7043 non-null   object \n",
      " 9   OnlineSecurity    7043 non-null   object \n",
      " 10  OnlineBackup      7043 non-null   object \n",
      " 11  DeviceProtection  7043 non-null   object \n",
      " 12  TechSupport       7043 non-null   object \n",
      " 13  StreamingTV       7043 non-null   object \n",
      " 14  StreamingMovies   7043 non-null   object \n",
      " 15  Contract          7043 non-null   object \n",
      " 16  PaperlessBilling  7043 non-null   object \n",
      " 17  PaymentMethod     7043 non-null   object \n",
      " 18  MonthlyCharges    7043 non-null   float64\n",
      " 19  TotalCharges      7043 non-null   object \n",
      " 20  Churn             7043 non-null   object \n",
      "dtypes: float64(1), int64(2), object(18)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e57b097e",
   "metadata": {},
   "source": [
    "There are no null values, and most features seem to be categorical. **SeniorCitizen** is normally a categorical variable, but here it seems to be numeric. We can update it as object for EDA. \n",
    "**TotalCharges** is a numeric variable, we should also change its data type as float64"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "4c4be403",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Update SeniorCitizen as a Categorical Feature\n",
    "df['SeniorCitizen'] = df['SeniorCitizen'].map({0:'No',1:'Yes'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "0ff73bd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Totalcharges has some empty values, which are not null but only a space character\n",
    "#Fill in ' ' values by month*tenure (tenure is 0 for these values)\n",
    "df.loc[df['TotalCharges']==' ','TotalCharges'] = df.loc[df['TotalCharges']==' ','tenure']*df.loc[df['TotalCharges']==' ','MonthlyCharges']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "0325ffbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Update Totalcharges as numeric\n",
    "df['TotalCharges'] = df['TotalCharges'].astype('float64')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12962553",
   "metadata": {},
   "source": [
    "## Numeric Variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "f131edd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>32.371149</td>\n",
       "      <td>64.761692</td>\n",
       "      <td>2279.734304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>24.559481</td>\n",
       "      <td>30.090047</td>\n",
       "      <td>2266.794470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.250000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.500000</td>\n",
       "      <td>398.550000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>70.350000</td>\n",
       "      <td>1394.550000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>89.850000</td>\n",
       "      <td>3786.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>72.000000</td>\n",
       "      <td>118.750000</td>\n",
       "      <td>8684.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            tenure  MonthlyCharges  TotalCharges\n",
       "count  7043.000000     7043.000000   7043.000000\n",
       "mean     32.371149       64.761692   2279.734304\n",
       "std      24.559481       30.090047   2266.794470\n",
       "min       0.000000       18.250000      0.000000\n",
       "25%       9.000000       35.500000    398.550000\n",
       "50%      29.000000       70.350000   1394.550000\n",
       "75%      55.000000       89.850000   3786.600000\n",
       "max      72.000000      118.750000   8684.800000"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.select_dtypes(include=np.number).describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba48b8c2",
   "metadata": {},
   "source": [
    "There are 3 numeric variables and with a std deviation close to mean value. Let's observe them with a boxplot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05fe78f0",
   "metadata": {},
   "source": [
    "### Boxplot / Outlier Detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "f6245cd5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2cAAAI/CAYAAADz4aFLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAtoklEQVR4nO3df5RnZ10n+PfHNL8EJAGc2kzC2lnJyi8JYBlxmXEKIhgIa7JnGCasqxGz9qzLIIyu0ujuRlR2w+oIeGbUaUmkVYYQI2xybCaQE1KrzpEAgfAjBCZtCCYxIUBIpAGB4Gf/qNuh6HR1V3d9q+up7tfrnDp173Pvfb6fyrfPk/v+3ud7b3V3AAAA2FjfttEFAAAAIJwBAAAMQTgDAAAYgHAGAAAwAOEMAABgAMIZAADAALYcyRd77GMf21u3bj2SL8kG+dKXvpSHP/zhG10GR8B11133ue7+zo2uYy2MTccOY9Ox42gYmxLj07HE+HTsOND4dETD2datW/OBD3zgSL4kG2RxcTELCwsbXQZHQFV9eqNrWCtj07HD2HTsOBrGpsT4dCwxPh07DjQ+mdYIAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzoChVdXFVXVXVX1sWdtvVNUnquojVfWOqjp+2bZXV9XuqvpkVf3IhhQNAHAYhDNgdG9OcuY+bVcleUp3PzXJf0ny6iSpqiclOTfJk6djfqeqjjtypQIAHD7hDBhad/95krv3aXt3d983rb43ycnT8tlJLunur3b3p5LsTnL6ESsWAGANhDNgs/upJP9pWj4pya3Ltt02tQEADG/LRhcAcLiq6peT3JfkLYdx7LYk25Jkbm4ui4uLsy2OIe3Zs8d7DcCwhDNgU6qqn0zywiRndHdPzbcnedyy3U6e2h6gu3ck2ZEk8/PzvbCwsG61Mo7FxcV4rwEYlWmNwKZTVWcm+cUkP9rdX1626Yok51bVQ6rqlCSnJnnfRtQIAHCoXDkDhlZVb02ykOSxVXVbkguydHfGhyS5qqqS5L3d/b909w1VdWmSj2dpuuPLuvsbG1M5AMChEc6AoXX3S/bTfNEB9n9tkteuX0UAAOvDtEYAAIABuHLGIZumkc3EN+/jALA2sxybEuMTMDvOnVgtV844ZN190J/vetWfrWo/gFmZ5dhkfAJmybkTqyWcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAZw0HBWVd9TVdcv+/m7qnplVT26qq6qqpum3ycciYIBAACORgcNZ939ye5+Wnc/Lcn3Jflyknck2Z7k6u4+NcnV0zoAAACH4VCnNZ6R5K+7+9NJzk6yc2rfmeScGdYFAABwTDnUcHZukrdOy3Pdfce0fGeSuZlVBQAAcIzZstodq+rBSX40yav33dbdXVW9wnHbkmxLkrm5uSwuLh5epWw63msAAFi9VYezJM9P8sHu/sy0/pmqOrG776iqE5Pctb+DuntHkh1JMj8/3wsLC2upl83iyl3xXgMAwOodyrTGl+SbUxqT5Iok503L5yW5fFZFAQAAHGtWFc6q6uFJnpvk7cuaL0zy3Kq6KckPT+sAAAAchlVNa+zuLyV5zD5tn8/S3RsBAABYo0O9WyMAAADrQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAHEBV/ZuquqGqPlZVb62qh1bVKVV1bVXtrqq3VdWDp30fMq3vnrZvXdbPq6f2T1bVj2zYHwQMSzgDAFhBVZ2U5GeTzHf3U5Icl+TcJK9L8vrufnySLyQ5fzrk/CRfmNpfP+2XqnrSdNyTk5yZ5Heq6rgj+bcA4xPOAAAObEuSh1XVliTfnuSOJM9Jctm0fWeSc6bls6f1TNvPqKqa2i/p7q9296eS7E5y+pEpH9gshDMAgBV09+1JfjPJ32QplN2b5Lok93T3fdNutyU5aVo+Kcmt07H3Tfs/Znn7fo4BSLL0SRAAAPtRVSdk6arXKUnuSfInWZqWuJ6vuS3JtiSZm5vL4uLier4cA/FeI5wBAKzsh5N8qrs/myRV9fYkz0pyfFVtma6OnZzk9mn/25M8Lslt0zTIRyX5/LL2vZYf8y26e0eSHUkyPz/fCwsLs/6bGNGVu+K9xrRGAICV/U2SZ1bVt0/fHTsjyceTXJPkRdM+5yW5fFq+YlrPtP093d1T+7nT3RxPSXJqkvcdob8B2CRcOQMAWEF3X1tVlyX5YJL7knwoS1e1diW5pKp+fWq7aDrkoiR/VFW7k9ydpTs0prtvqKpLsxTs7kvysu7+xhH9Y4DhCWcAAAfQ3RckuWCf5puzn7stdvffJ/kXK/Tz2iSvnXmBwFHDtEYAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAA1hVOKuq46vqsqr6RFXdWFU/WFWPrqqrquqm6fcJ610sAADA0Wq1V87emOTK7n5CktOS3Jhke5Kru/vUJFdP6wAAAByGg4azqnpUkh9KclGSdPfXuvueJGcn2TnttjPJOetTIgAAwNFvNVfOTkny2SR/UFUfqqo3VdXDk8x19x3TPncmmVuvIgEAAI52W1a5zzOSvLy7r62qN2afKYzd3VXV+zu4qrYl2ZYkc3NzWVxcXFvFbBreawAAWL3VhLPbktzW3ddO65dlKZx9pqpO7O47qurEJHft7+Du3pFkR5LMz8/3wsLC2qtmfFfuivcaAABW76DTGrv7ziS3VtX3TE1nJPl4kiuSnDe1nZfk8nWpEAAA4BiwmitnSfLyJG+pqgcnuTnJS7MU7C6tqvOTfDrJi9enRAAAgKPfqsJZd1+fZH4/m86YaTUAAADHqNU+5wwAAIB1JJwBQ6uqi6vqrqr62LK2R1fVVVV10/T7hKm9quq3q2p3VX2kqp6xcZUDABwa4QwY3ZuTnLlP2/YkV3f3qUmuzjcf7/H8JKdOP9uS/O4RqhEAYM2EM2Bo3f3nSe7ep/nsJDun5Z1JzlnW/oe95L1Jjp8e9QEAMDzhDNiM5rr7jmn5ziRz0/JJSW5dtt9tUxsAwPBWeyt9gCF1d1dVH+pxVbUtS1MfMzc3l8XFxVmXxqC81wCMSjgDNqPPVNWJ3X3HNG3xrqn99iSPW7bfyVPbA3T3jiQ7kmR+fr4XFhbWsVyGceWueK8BGJVpjcBmdEWS86bl85Jcvqz9J6a7Nj4zyb3Lpj8CAAzNlTNgaFX11iQLSR5bVbcluSDJhUkurarzk3w6yYun3d+Z5AVJdif5cpKXHvGCAQAOk3AGDK27X7LCpjP2s28nedn6VgQAsD5MawQAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwAC2bHQBjOO017w7937l6zPrb+v2XWvu41EPe1A+fMHzZlANAACMTTjjfvd+5eu55cKzZtLX4uJiFhYW1tzPLAIeAABsBqY1AgAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAA9iy0QUAwMGc9pp3596vfH0mfW3dvmsm/TzqYQ/Khy943kz6AoBEOANgE7j3K1/PLReeteZ+FhcXs7CwsPaCMruQBwB7mdYIAAAwAOEMAABgAMIZAADAAFb1nbOquiXJF5N8I8l93T1fVY9O8rYkW5PckuTF3f2F9SkTAADg6HYoV86e3d1P6+75aX17kqu7+9QkV0/rAAAAHIa1TGs8O8nOaXlnknPWXA0AwGCq6viquqyqPlFVN1bVD1bVo6vqqqq6afp9wrRvVdVvV9XuqvpIVT1jWT/nTfvfVFXnbdxfBIxqteGsk7y7qq6rqm1T21x33zEt35lkbubVAQBsvDcmubK7n5DktCQ3ZuUZRM9Pcur0sy3J7ybJ9HWQC5L8QJLTk1ywN9AB7LXa55z9k+6+var+UZKrquoTyzd2d1dV7+/AKcxtS5K5ubksLi6upV7W2azenz179sysL/9mANgoVfWoJD+U5CeTpLu/luRrVXV2koVpt51JFpO8Kkszi/6wuzvJe6erbidO+17V3XdP/V6V5Mwkbz1SfwswvlWFs+6+ffp9V1W9I0uf+Hymqk7s7jumQeeuFY7dkWRHkszPz/esHv7JOrhy18wezjqzB73OsCYAOAynJPlskj+oqtOSXJfkFVl5BtFJSW5ddvxtU9tK7QD3O2g4q6qHJ/m27v7itPy8JL+a5Iok5yW5cPp9+XoWCgCwAbYkeUaSl3f3tVX1xuxzE7QDzSA6HGYdHbu816zmytlckndU1d79/2N3X1lV709yaVWdn+TTSV68fmUCAGyI25Lc1t3XTuuXZSmcrTSD6PYkj1t2/MlT2+355jTIve2L+3tBs46OUWYLkVWEs+6+OUtfft23/fNJzliPogAARtDdd1bVrVX1Pd39ySyd+3x8+tnfDKIrkvzrqrokSzf/uHcKcO9K8n8tuwnI85K8+kj+LcD4VntDEACAY9XLk7ylqh6c5OYkL83SHa/3N4PonUlekGR3ki9P+6a7766qX0vy/mm/X917cxCAvYQzAIAD6O7rk8zvZ9MDZhBNd2l82Qr9XJzk4pkWBxxV1vIQagAAAGZEOAMAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAcAYAADAA4QwAAGAAwhmwaVXVv6mqG6rqY1X11qp6aFWdUlXXVtXuqnpbVT14o+sEAFgN4QzYlKrqpCQ/m2S+u5+S5Lgk5yZ5XZLXd/fjk3whyfkbVyUAwOoJZ8BmtiXJw6pqS5JvT3JHkuckuWzavjPJORtTGgDAoRHOgE2pu29P8ptJ/iZLoezeJNcluae775t2uy3JSRtTIQDAodmy0QUAHI6qOiHJ2UlOSXJPkj9JcuYhHL8tybYkmZuby+Li4uyLZKZm8R7t2bNnpu+1fzcAzJJwBmxWP5zkU9392SSpqrcneVaS46tqy3T17OQkt+/v4O7ekWRHkszPz/fCwsIRKZrDdOWuzOI9WlxcnEk/SWZWEwDsZVojsFn9TZJnVtW3V1UlOSPJx5Nck+RF0z7nJbl8g+oDADgkwhmwKXX3tVm68ccHk3w0S+PZjiSvSvJzVbU7yWOSXLRhRQIAHALTGoFNq7svSHLBPs03Jzl9A8oBAFgTV84AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAcAYAADAA4QwAAGAAqw5nVXVcVX2oqv5sWj+lqq6tqt1V9baqevD6lQkAAHB0O5QrZ69IcuOy9dcleX13Pz7JF5KcP8vCAAAAjiWrCmdVdXKSs5K8aVqvJM9Jctm0y84k56xDfQAAAMeE1V45e0OSX0zyD9P6Y5Lc0933Teu3JTlptqUBAAAcO7YcbIeqemGSu7r7uqpaONQXqKptSbYlydzcXBYXFw+1C46gWb0/e/bsmVlf/s0AAHAsOGg4S/KsJD9aVS9I8tAk35HkjUmOr6ot09Wzk5Pcvr+Du3tHkh1JMj8/3wsLC7Oom/Vw5a7M6v1ZXFycTV8zrAkAAEZ20GmN3f3q7j65u7cmOTfJe7r7x5Jck+RF027nJbl83aoEAAA4yq3lOWevSvJzVbU7S99Bu2g2JQEAABx7VjOt8X7dvZhkcVq+Ocnpsy8JAADg2LOWK2cAAADMiHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAFs2egCAOBgHvnE7fnendtn09nO2XTzyCcmyVmz6QwAIpwBsAl88cYLc8uFaw9Ci4uLWVhYWHtBSbZu3zWTfgBgL9MaAQAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAICDqKrjqupDVfVn0/opVXVtVe2uqrdV1YOn9odM67un7VuX9fHqqf2TVfUjG/SnAAMTzgAADu4VSW5ctv66JK/v7scn+UKS86f285N8YWp//bRfqupJSc5N8uQkZyb5nao67gjVDmwSwhkAwAFU1clJzkrypmm9kjwnyWXTLjuTnDMtnz2tZ9p+xrT/2Uku6e6vdvenkuxOcvoR+QOATUM4AwA4sDck+cUk/zCtPybJPd1937R+W5KTpuWTktyaJNP2e6f972/fzzEASZItG10AAMCoquqFSe7q7uuqauEIvea2JNuSZG5uLouLi0fiZRmA9xrhDABgZc9K8qNV9YIkD03yHUnemOT4qtoyXR07Ocnt0/63J3lcktuqakuSRyX5/LL2vZYf8y26e0eSHUkyPz/fCwsLs/6bGNGVu+K9xrRGAIAVdPeru/vk7t6apRt6vKe7fyzJNUleNO12XpLLp+UrpvVM29/T3T21nzvdzfGUJKcmed8R+jOATcKVMwCAQ/eqJJdU1a8n+VCSi6b2i5L8UVXtTnJ3lgJduvuGqro0yceT3JfkZd39jSNfNjAy4QwAYBW6ezHJ4rR8c/Zzt8Xu/vsk/2KF41+b5LXrVyGw2ZnWCAAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAh1ADAMBhOO017869X/n6zPrbun3Xmvt41MMelA9f8LwZVMNGEM4AAOAw3PuVr+eWC8+aSV+Li4tZWFhYcz+zCHhsHNMaAQAABiCcAQAADEA4AwAAGMBBw1lVPbSq3ldVH66qG6rqNVP7KVV1bVXtrqq3VdWD179cAACAo9Nqrpx9Nclzuvu0JE9LcmZVPTPJ65K8vrsfn+QLSc5ftyoB9qOqjq+qy6rqE1V1Y1X9YFU9uqquqqqbpt8nbHSdAACrcdBw1kv2TKsPmn46yXOSXDa170xyznoUCHAAb0xyZXc/IclpSW5Msj3J1d19apKrp3UAgOGt6jtnVXVcVV2f5K4kVyX56yT3dPd90y63JTlpXSoE2I+qelSSH0pyUZJ099e6+54kZ2fpA6PEB0cAwCayquecdfc3kjytqo5P8o4kT1jtC1TVtiTbkmRubi6Li4uHXiVHzKzenz179sysL/9mWMEpST6b5A+q6rQk1yV5RZK57r5j2ufOJHMbVB8AwCE5pIdQd/c9VXVNkh9McnxVbZmunp2c5PYVjtmRZEeSzM/P9ywersc6uXLXTB5+mMzuQYqzrImjzpYkz0jy8u6+tqremH2mMHZ3V1Xv72AfHG0+s3iPZvnBUeLDIwBm66DhrKq+M8nXp2D2sCTPzdLNQK5J8qIklyQ5L8nl61kowD5uS3Jbd187rV+WpXD2mao6sbvvqKoTszQd+wF8cLTJzOiDmpl9cJT48AiAmVvNd85OTHJNVX0kyfuTXNXdf5bkVUl+rqp2J3lMpu99ABwJ3X1nklur6numpjOSfDzJFVn6wCjxwREAsIkc9MpZd38kydP3035zktPXoyiAVXp5krdMz1m8OclLs/Sh06VVdX6STyd58QbWBwCwaof0nTOAkXT39Unm97PpjCNcCgDAmq3qVvoAAACsL1fOuN8jn7g937tzhs/r3XnwXQ7mkU9MkrPW3hEAAAxOOON+X7zxwtxy4WyC0KzuiLZ1+661FwMAAJuAaY0AAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAARw0nFXV46rqmqr6eFXdUFWvmNofXVVXVdVN0+8T1r9cAACAo9Nqrpzdl+Tnu/tJSZ6Z5GVV9aQk25Nc3d2nJrl6WgcAAOAwHDScdfcd3f3BafmLSW5MclKSs5PsnHbbmeScdaoRAADgqHdI3zmrqq1Jnp7k2iRz3X3HtOnOJHOzLQ0AAODYsWW1O1bVI5L8aZJXdvffVdX927q7q6pXOG5bkm1JMjc3l8XFxTUVzPqa1fuzZ8+emfXl3wwAAMeCVYWzqnpQloLZW7r77VPzZ6rqxO6+o6pOTHLX/o7t7h1JdiTJ/Px8LywsrL1q1seVuzKr92dxcXE2fc2wJgAAGNlq7tZYSS5KcmN3/9ayTVckOW9aPi/J5bMvDwAA4Niwmitnz0ry40k+WlXXT22/lOTCJJdW1flJPp3kxetSIQAAwDHgoOGsu/8ySa2w+YzZlgMAAHBsOqS7NQIAALA+hDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgCwgqp6XFVdU1Ufr6obquoVU/ujq+qqqrpp+n3C1F5V9dtVtbuqPlJVz1jW13nT/jdV1Xkb9TcB4xLOAABWdl+Sn+/uJyV5ZpKXVdWTkmxPcnV3n5rk6mk9SZ6f5NTpZ1uS302WwlySC5L8QJLTk1ywN9AB7CWcAQCsoLvv6O4PTstfTHJjkpOSnJ1k57TbziTnTMtnJ/nDXvLeJMdX1YlJfiTJVd19d3d/IclVSc48cn8JsBkIZwAAq1BVW5M8Pcm1Sea6+45p051J5qblk5Lcuuyw26a2ldoB7rdlowsAABhdVT0iyZ8meWV3/11V3b+tu7uqeoavtS1LUyIzNzeXxcXFWXXNOpjV+7Nnz56Z9eXfzOYlnAEAHEBVPShLwewt3f32qfkzVXVid98xTVu8a2q/Pcnjlh1+8tR2e5KFfdoX9/d63b0jyY4kmZ+f74WFhf3txgiu3JVZvT+Li4uz6WuGNXHkmdYIALCCWrpEdlGSG7v7t5ZtuiLJ3jsunpfk8mXtPzHdtfGZSe6dpj++K8nzquqE6UYgz5vaAO7nyhmwqVXVcUk+kOT27n5hVZ2S5JIkj0lyXZIf7+6vbWSNwKb2rCQ/nuSjVXX91PZLSS5McmlVnZ/k00lePG17Z5IXJNmd5MtJXpok3X13Vf1akvdP+/1qd999RP4CYNMQzoDN7hVZunvad0zrr0vy+u6+pKp+L8n5mW5lDXCouvsvk9QKm8/Yz/6d5GUr9HVxkotnVx1wtDGtEdi0qurkJGcledO0Xkmek+SyaZflt7cGABiacAZsZm9I8otJ/mFaf0ySe7r7vmndraoBgE3DtEZgU6qqFya5q7uvq6qFwzjerao3mVm8R7O8VXXidtUAzJZwBmxWz0ryo1X1giQPzdJ3zt6Y5Piq2jJdPdt7C+sHcKvqTWZGt4ae2a2qE7erBmDmTGsENqXufnV3n9zdW5Ocm+Q93f1jSa5J8qJpt+W3twYAGJpwBhxtXpXk56pqd5a+g3bRBtcDALAqpjUCm153LyZZnJZvTnL6RtYDAHA4XDkDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABjAlo0uAABWY+v2XbPp6MrZ9POohz1oJv0AwF7CGQDDu+XCs2bSz9btu2bWFwDMmmmNAAAAAxDOAAAABiCcAQAADEA4AwAAGIAbggAAwGF45BO353t3bp9dhzvX3sUjn5gkbny0WQlnAABwGL5444UzuwPs4uJiFhYW1tzPzB47woYwrREAAGAAwhkAAMAAhDMAAIABCGcAAAADOGg4q6qLq+quqvrYsrZHV9VVVXXT9PuE9S0TAADg6LaaK2dvTnLmPm3bk1zd3acmuXpaBwAA4DAdNJx1958nuXuf5rPzzScx7ExyzmzLAgAAOLYc7nfO5rr7jmn5ziRzM6oHAADgmLTmh1B3d1dVr7S9qrYl2ZYkc3NzWVxcXOtLso5m9f7s2bNnZn35NwMAwLHgcMPZZ6rqxO6+o6pOTHLXSjt2944kO5Jkfn6+Z/Hkc9bJlbtm8mT6ZHZPuZ9lTQAAMLLDndZ4RZLzpuXzklw+m3IAAACOTau5lf5bk/xVku+pqtuq6vwkFyZ5blXdlOSHp3UAAAAO00GnNXb3S1bYdMaMawEAADhmHe60RgAAAGZIOAMAABjAmm+lz9Fl6/Zds+vsyrX39aiHPWgGhQAAwPiEM+53y4Vnzayvrdt3zbQ/AAA42pnWCAAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADCGQAAwACEMwAAgAEIZwAAAAMQzgAAAAYgnAEAAAxAOAMAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAAD2LLRBQAAwGa1dfuu2XV25dr7etTDHjSDQtgowhkAAByGWy48a2Z9bd2+a6b9sTmZ1ggAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGbEpV9biquqaqPl5VN1TVK6b2R1fVVVV10/T7hI2uFQBgNYQzYLO6L8nPd/eTkjwzycuq6klJtie5urtPTXL1tA4AMDzhDNiUuvuO7v7gtPzFJDcmOSnJ2Ul2TrvtTHLOhhQIAHCIhDNg06uqrUmenuTaJHPdfce06c4kcxtVFwDAodiy0QUArEVVPSLJnyZ5ZXf/XVXdv627u6p6heO2JdmWJHNzc1lcXDwC1TIC7zUAoxLOgE2rqh6UpWD2lu5++9T8mao6sbvvqKoTk9y1v2O7e0eSHUkyPz/fCwsLR6JkNtqVu+K9BmBUpjUCm1ItXSK7KMmN3f1byzZdkeS8afm8JJcf6doAAA6HK2fAZvWsJD+e5KNVdf3U9ktJLkxyaVWdn+TTSV68MeUBABwa4QzYlLr7L5PUCpvPOJK1AADMwpqmNVbVmVX1yaraXVWeJQQAcADOnYADOexwVlXHJfn3SZ6f5ElJXjI9ABYAgH04dwIOZi1Xzk5Psru7b+7uryW5JEsPfwUA4IGcOwEHtJZwdlKSW5et3za1AQDwQM6dgANa9xuCeNDr0efZz372qvar1x18n2uuuWaN1QAsWf4A8gPut4qxKUm69/v8clh3zp2OPs6dWK21hLPbkzxu2frJU9u38KDXo89qTlgWFxc96BU4ooxNbALOnY5RxidWay3TGt+f5NSqOqWqHpzk3Cw9/BUAgAdy7gQc0GFfOevu+6rqXyd5V5Ljklzc3TfMrDIAgKOIcyfgYNb0nbPufmeSd86oFgCAo5pzJ+BA1vQQagAAAGZDOAMAABiAcAYAADAA4QwAAGAAwhkAAMAAhDMAAIABCGcAAAADEM4AAAAGIJwBAAAMQDgDAAAYgHAGAAAwAOEMAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADEA4AwAAGIBwBgAAMADhDAAAYADV3Ufuxao+m+TTR+wF2UiPTfK5jS6CI+K7uvs7N7qItTA2HVOMTceOTT82JcanY4zx6dix4vh0RMMZx46q+kB3z290HQDLGZuAURmfSExrBAAAGIJwBgAAMADhjPWyY6MLANgPYxMwKuMTvnMGAAAwAlfOAAAABiCcsV9VdXxV/a8bXQew+VRVV9UfL1vfUlWfrao/O8z+vmU8qqqFlfqqqsWqOuDdzqrqv6qqS6rqr6vquqp6Z1X9twfqFzj6VdVjqur66efOqrp92fqD99n3lVX17avo8/4xqaoeUVX/YdnYs1hVP1BVW6vqY+v1d7G5CGes5Pgk6xrOqmrLevYPbJgvJXlKVT1sWn9uktvX0N/xmdF4VFWV5B1JFrv7u7v7+5K8OsncDPo2psEm1t2f7+6ndffTkvxektfvXe/ur+2z+yuTHDSc7eNNSe5Ocuo09rw0S882WxNjz9FFOGMlFyb57unTot+oql+oqvdX1Ueq6jVJMn3Sc2NV/X5V3VBV7957MrbPJ0WPrapbpuWfrKorquo9Sa6uqodX1cVV9b6q+lBVnb1Bfy8wW+9Mcta0/JIkb927oaoeXVX/7zSevLeqnjq1/8o0HixW1c1V9bPTId8yHk1tj6iqy6rqE1X1lil0Zdlr/FRVvWHZ+k9X1euTPDvJ17v79/Zu6+4Pd/dfHKjfqvo/pzHwY1W1Y1n7YlW9oao+kOQVVfX909+1d+z82LTfcdP63nH0X03tJ1bVn0/7f6yq/uma/8sDM1NVZ0znJx+dxqeHTGPTP05yTVVdM+33u1X1gel86DX76ee7k/xAkv+9u/8hSbr7U929a9rluBXOp356Gjc+XFV/uvdqXVW9uap+r6quTfL/VNV3T+PpR6vq16tqz7LX3t853MOratfU78eq6l+u339FDoVwxkq2J/nr6dOjq5KcmuT0JE9L8n1V9UPTfqcm+ffd/eQk9yT556vo+xlJXtTd/yzJLyd5T3efnqWTpt+oqofP8O8ANsYlSc6tqocmeWqSa5dte02SD3X3U5P8UpI/XLbtCUl+JEvjzQVV9aAsG4+6+xem/Z6epU+un5Tkv0nyrH1e/9Ik//10fLL0CfXFSZ6S5LoD1L1Sv/+uu7+/u5+S5GFJXrjsmAd393x3/9skf5DkX01j5zeW7XN+knu7+/uTfH+Sn66qU5L8j0neNe1/WpLrD1AbcGQ9NMmbk/zL7v7eJFuS/Ex3/3aSv03y7O5+9rTvL08PkH5qkn+290OnZZ6c5Pru/kb2b6XzqbdPY89pSW7M0liy18lJ/rvu/rkkb0zyxqnO2/buUFXPy/7P4c5M8rfdfdo0rl15CP9dWEfCGavxvOnnQ0k+mKWTp1OnbZ/q7uun5euSbF1Ff1d1993L+t5eVdcnWczSQPhfz6JoYON090eyNB68JEtX0Zb7J0n+aNrvPUkeU1XfMW3b1d1f7e7PJbkrK083fF933zZ9An199hl7untPkvckeWFVPSHJg7r7o6sofaV+n11V11bVR5M8J0snWnu9LVn6blySR3b3X03t/3HZPs9L8hPTWHdtksdkaRx9f5KXVtWvJPne7v7iKmoEjozjsnSe81+m9Z1JfmiFfV9cVR/M0rnSk7P0Ac+hWOl86ilV9RfT2PNj+dax50+Whb0fTPIn0/K+Y8/+zuE+muS5VfW6qvqn3X3vIdbLOjFHldWoJP93d/+Hb2ms2prkq8uavpGlT5ST5L58M/w/dJ/+vrRP3/+8uz85s2qBUVyR5DeTLGQpjKzGvmPKSv+fWs1+b8rSlblPZOmKVpLckORFh/L609W/30ky3923TkFq+bi2fExbSSV5eXe/6wEblj7FPivJm6vqt7r7Dx9wNDCs6Sr4/5bk+7v7C1X15jzw3OeGJKdV1XErXD1b6XzqzUnO6e4PV9VPZmk83Wu1Y88DzuGmup+R5AVJfr2qru7uX11Ff6wzV85YyReTPHJafleSn6qqRyRJVZ1UVf/oIMffkuT7puUDnQi9K8nLl31/4+mHXTEwmouTvGY/V6z+IkufAKeqFpJ8rrv/7gD9LB+PVq27r03yuCxNHdz7nbf3JHlIVW3bu19VPfUg3/Xae5L1uWkc3O+Y1t33JPliVf3A1HTuss3vSvIze6dZ1tLdIR9eVd+V5DPd/ftZCpPPOJS/EVhX30iytaoeP63/eJL/b1pePi59R5aC0r1VNZfk+ft21N1/neQDSV6z7Jxna1Wdte+++3hkkjumsePHDrDfe/PNqZD7jj0POIerqn+c5Mvd/cdJfiPGnmG4csZ+dffnq+o/T19m/09ZukT+V9N4sifJ/5Rv/T7Fvn4zyaXTCdCuA+z3a0nekOQjVfVtST6Vb/0uB7BJdfdtSX57P5t+JcnFVfWRJF9Oct5B+tl3PDrQmLKvS5M8rbu/MPXVVfU/JHlDVb0qyd9n6cOkVyY5aYXXv6eqfj/Jx5LcmaWpiCs5P8nvV9U/ZOkkbu9UoTdlaZrSB6cTs88mOSdLn4L/QlV9PUtj608cwt8GrK+/z9L3Vf+klu6I+P4s3cUxSXYkubKq/ra7n11VH8rSVfpbk/znFfr7n5P82yS7q+orST6X5BdW2Hev/yNLU6E/O/1e6YOqVyb546r65Sx9f+zeJOnud1fVE/PAc7jHZ+l7/v+Q5OtJfuYgdXCEVHdvdA0AsC5q6bllr+/uq4/Q6z1i+r5bqmp7khO7+xVH4rWBY9d0F8evTB9AnZvkJd3tDtibkCtnABx1pptzvC/Jh49UMJucVVWvztL/Xz+d5CeP4GsDx67vS/Lvpivz9yT5qY0th8PlyhkAAMAA3BAEAABgAMIZAADAAIQzAACAAQhnAAAAAxDOAAAABiCcAQAADOD/B2NSmvemplDPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,3,figsize=(15,10))\n",
    "df[['tenure']].boxplot(ax=axes[0])\n",
    "df[['MonthlyCharges']].boxplot(ax=axes[1])\n",
    "df[['TotalCharges']].boxplot(ax=axes[2]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b966dd9e",
   "metadata": {},
   "source": [
    "There are no outliers here, and but totalcharges seems related to the product of tenure and MonthlyCharges. We can calculate this product and check the correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "732bab05",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_series =df['tenure']*df['MonthlyCharges']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "2673e976",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['TotalCharges'],total_series);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "93d49115",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9995605537972277, 0.0)"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pearsonr(df['TotalCharges'],total_series)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e19fa2a2",
   "metadata": {},
   "source": [
    "From both the graph and the correlation coefficient, all information is in MonthlyCharges and tenure. Here my decision is to drop the TotalCharges col. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "4f5dede6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop('TotalCharges', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bf4de99",
   "metadata": {},
   "source": [
    "### Distribution of numeric features and correlation to target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "cc62448b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 772x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = df[[\"tenure\", \"MonthlyCharges\", \"Churn\"]]\n",
    "sns.pairplot(data, hue=\"Churn\", height=5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "9b178fed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>tenure</th>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.2479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <td>0.2479</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                tenure  MonthlyCharges\n",
       "tenure          1.0000          0.2479\n",
       "MonthlyCharges  0.2479          1.0000"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[:,[\"tenure\", \"MonthlyCharges\",\"Churn\"]].corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f9f22b5",
   "metadata": {},
   "source": [
    "There is very small correlation between with tenure and monthly charges. Tenure distribution is skewed as most customers have smaller tenure months. Looking at the churn=yes points in scatterplot, we can conclude that customers with lower tenure and higher monthly charges have more churn risk. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "caf90aec",
   "metadata": {},
   "source": [
    "### Standardization\n",
    "\n",
    "Most machine learning models used scalar distance for optimization\n",
    "Z-Standardization should be applied to numeric variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "beb48a8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "scaler = StandardScaler()\n",
    "df['tenure'] = scaler.fit_transform(df[['tenure']])\n",
    "df['MonthlyCharges'] = scaler.fit_transform(df[['MonthlyCharges']])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0190193",
   "metadata": {},
   "source": [
    "### Categorical Variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "c435a7c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>OnlineBackup</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "      <td>7043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>7043</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>3555</td>\n",
       "      <td>5901</td>\n",
       "      <td>3641</td>\n",
       "      <td>4933</td>\n",
       "      <td>6361</td>\n",
       "      <td>3390</td>\n",
       "      <td>3096</td>\n",
       "      <td>3498</td>\n",
       "      <td>3088</td>\n",
       "      <td>3095</td>\n",
       "      <td>3473</td>\n",
       "      <td>2810</td>\n",
       "      <td>2785</td>\n",
       "      <td>3875</td>\n",
       "      <td>4171</td>\n",
       "      <td>2365</td>\n",
       "      <td>5174</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        customerID gender SeniorCitizen Partner Dependents PhoneService  \\\n",
       "count         7043   7043          7043    7043       7043         7043   \n",
       "unique        7043      2             2       2          2            2   \n",
       "top     7590-VHVEG   Male            No      No         No          Yes   \n",
       "freq             1   3555          5901    3641       4933         6361   \n",
       "\n",
       "       MultipleLines InternetService OnlineSecurity OnlineBackup  \\\n",
       "count           7043            7043           7043         7043   \n",
       "unique             3               3              3            3   \n",
       "top               No     Fiber optic             No           No   \n",
       "freq            3390            3096           3498         3088   \n",
       "\n",
       "       DeviceProtection TechSupport StreamingTV StreamingMovies  \\\n",
       "count              7043        7043        7043            7043   \n",
       "unique                3           3           3               3   \n",
       "top                  No          No          No              No   \n",
       "freq               3095        3473        2810            2785   \n",
       "\n",
       "              Contract PaperlessBilling     PaymentMethod Churn  \n",
       "count             7043             7043              7043  7043  \n",
       "unique               3                2                 4     2  \n",
       "top     Month-to-month              Yes  Electronic check    No  \n",
       "freq              3875             4171              2365  5174  "
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.select_dtypes(include='object').describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "174a88cd",
   "metadata": {},
   "source": [
    "At first look, we can see that **customerID** is a customer identifier with unique value. Let's drop this column and keep it our of scope. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "bb73aebe",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df.drop('customerID', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "7314c596",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Male      3555\n",
      "Female    3488\n",
      "Name: gender, dtype: int64\n",
      "gender  Churn\n",
      "Female  No       0.730791\n",
      "        Yes      0.269209\n",
      "Male    No       0.738397\n",
      "        Yes      0.261603\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No     5901\n",
      "Yes    1142\n",
      "Name: SeniorCitizen, dtype: int64\n",
      "SeniorCitizen  Churn\n",
      "No             No       0.763938\n",
      "               Yes      0.236062\n",
      "Yes            No       0.583187\n",
      "               Yes      0.416813\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No     3641\n",
      "Yes    3402\n",
      "Name: Partner, dtype: int64\n",
      "Partner  Churn\n",
      "No       No       0.670420\n",
      "         Yes      0.329580\n",
      "Yes      No       0.803351\n",
      "         Yes      0.196649\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No     4933\n",
      "Yes    2110\n",
      "Name: Dependents, dtype: int64\n",
      "Dependents  Churn\n",
      "No          No       0.687209\n",
      "            Yes      0.312791\n",
      "Yes         No       0.845498\n",
      "            Yes      0.154502\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "Yes    6361\n",
      "No      682\n",
      "Name: PhoneService, dtype: int64\n",
      "PhoneService  Churn\n",
      "No            No       0.750733\n",
      "              Yes      0.249267\n",
      "Yes           No       0.732904\n",
      "              Yes      0.267096\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No                  3390\n",
      "Yes                 2971\n",
      "No phone service     682\n",
      "Name: MultipleLines, dtype: int64\n",
      "MultipleLines     Churn\n",
      "No                No       0.749558\n",
      "                  Yes      0.250442\n",
      "No phone service  No       0.750733\n",
      "                  Yes      0.249267\n",
      "Yes               No       0.713901\n",
      "                  Yes      0.286099\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "Fiber optic    3096\n",
      "DSL            2421\n",
      "No             1526\n",
      "Name: InternetService, dtype: int64\n",
      "InternetService  Churn\n",
      "DSL              No       0.810409\n",
      "                 Yes      0.189591\n",
      "Fiber optic      No       0.581072\n",
      "                 Yes      0.418928\n",
      "No               No       0.925950\n",
      "                 Yes      0.074050\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No                     3498\n",
      "Yes                    2019\n",
      "No internet service    1526\n",
      "Name: OnlineSecurity, dtype: int64\n",
      "OnlineSecurity       Churn\n",
      "No                   No       0.582333\n",
      "                     Yes      0.417667\n",
      "No internet service  No       0.925950\n",
      "                     Yes      0.074050\n",
      "Yes                  No       0.853888\n",
      "                     Yes      0.146112\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No                     3088\n",
      "Yes                    2429\n",
      "No internet service    1526\n",
      "Name: OnlineBackup, dtype: int64\n",
      "OnlineBackup         Churn\n",
      "No                   No       0.600712\n",
      "                     Yes      0.399288\n",
      "No internet service  No       0.925950\n",
      "                     Yes      0.074050\n",
      "Yes                  No       0.784685\n",
      "                     Yes      0.215315\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No                     3095\n",
      "Yes                    2422\n",
      "No internet service    1526\n",
      "Name: DeviceProtection, dtype: int64\n",
      "DeviceProtection     Churn\n",
      "No                   No       0.608724\n",
      "                     Yes      0.391276\n",
      "No internet service  No       0.925950\n",
      "                     Yes      0.074050\n",
      "Yes                  No       0.774979\n",
      "                     Yes      0.225021\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No                     3473\n",
      "Yes                    2044\n",
      "No internet service    1526\n",
      "Name: TechSupport, dtype: int64\n",
      "TechSupport          Churn\n",
      "No                   No       0.583645\n",
      "                     Yes      0.416355\n",
      "No internet service  No       0.925950\n",
      "                     Yes      0.074050\n",
      "Yes                  No       0.848337\n",
      "                     Yes      0.151663\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No                     2810\n",
      "Yes                    2707\n",
      "No internet service    1526\n",
      "Name: StreamingTV, dtype: int64\n",
      "StreamingTV          Churn\n",
      "No                   No       0.664769\n",
      "                     Yes      0.335231\n",
      "No internet service  No       0.925950\n",
      "                     Yes      0.074050\n",
      "Yes                  No       0.699298\n",
      "                     Yes      0.300702\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "No                     2785\n",
      "Yes                    2732\n",
      "No internet service    1526\n",
      "Name: StreamingMovies, dtype: int64\n",
      "StreamingMovies      Churn\n",
      "No                   No       0.663196\n",
      "                     Yes      0.336804\n",
      "No internet service  No       0.925950\n",
      "                     Yes      0.074050\n",
      "Yes                  No       0.700586\n",
      "                     Yes      0.299414\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "Month-to-month    3875\n",
      "Two year          1695\n",
      "One year          1473\n",
      "Name: Contract, dtype: int64\n",
      "Contract        Churn\n",
      "Month-to-month  No       0.572903\n",
      "                Yes      0.427097\n",
      "One year        No       0.887305\n",
      "                Yes      0.112695\n",
      "Two year        No       0.971681\n",
      "                Yes      0.028319\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "Yes    4171\n",
      "No     2872\n",
      "Name: PaperlessBilling, dtype: int64\n",
      "PaperlessBilling  Churn\n",
      "No                No       0.836699\n",
      "                  Yes      0.163301\n",
      "Yes               No       0.664349\n",
      "                  Yes      0.335651\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n",
      "Electronic check             2365\n",
      "Mailed check                 1612\n",
      "Bank transfer (automatic)    1544\n",
      "Credit card (automatic)      1522\n",
      "Name: PaymentMethod, dtype: int64\n",
      "PaymentMethod              Churn\n",
      "Bank transfer (automatic)  No       0.832902\n",
      "                           Yes      0.167098\n",
      "Credit card (automatic)    No       0.847569\n",
      "                           Yes      0.152431\n",
      "Electronic check           No       0.547146\n",
      "                           Yes      0.452854\n",
      "Mailed check               No       0.808933\n",
      "                           Yes      0.191067\n",
      "Name: Churn, dtype: float64\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Observe all categorical variables with churn\n",
    "categorical_features = df.select_dtypes(include='object').drop('Churn',axis=1).columns.tolist()\n",
    "for col in categorical_features:\n",
    "    print(df[col].value_counts())\n",
    "    print(df.groupby(col)['Churn'].value_counts(normalize=True))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42de47d1",
   "metadata": {},
   "source": [
    "From above results we can see that when grouped **PhoneService** and **gender** variables, the yes/no ratio of target class does not change. We can also plot these variables for a closer look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "17170708",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='PhoneService', hue='Churn', data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "012e5e0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='gender', hue='Churn', data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "d3182e79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Churn</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PhoneService</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <td>512</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</th>\n",
       "      <td>4662</td>\n",
       "      <td>1699</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Churn           No   Yes\n",
       "PhoneService            \n",
       "No             512   170\n",
       "Yes           4662  1699"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contingency_table = pd.crosstab(df['PhoneService'],df['Churn'], margins = False)\n",
    "contingency_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "edb9197b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9150329892546948, 0.3387825358066928)"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stat, p, dof, expected = chi2_contingency(contingency_table)\n",
    "stat, p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "b65d44a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.4840828822091383, 0.48657873605618596)"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stat, p, dof, expected = chi2_contingency(pd.crosstab(df['gender'],df['Churn'], margins = False))\n",
    "stat, p"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f176d7b",
   "metadata": {},
   "source": [
    "Both the plots and correlation values indicate these features do not have correlation to targets. We can also drop these features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "cf76a396",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['gender', 'PhoneService'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f972ba7",
   "metadata": {},
   "source": [
    "### Encoding Categorical Variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c347a3e4",
   "metadata": {},
   "source": [
    "We first start with **Contract** column, which seems to have an order in itself. It can be encoded into ordered categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "4b896015",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month-to-month    3875\n",
       "Two year          1695\n",
       "One year          1473\n",
       "Name: Contract, dtype: int64"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Contract'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "cebb9b88",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas.api.types import CategoricalDtype\n",
    "contract_cat = CategoricalDtype(categories=['Month-to-month', 'One year', 'Two year'], ordered=True)\n",
    "df['Contract'] = df['Contract'].astype(contract_cat).cat.codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "6ae5d3af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    3875\n",
       "2    1695\n",
       "1    1473\n",
       "Name: Contract, dtype: int64"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Contract'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "b2badbcf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SeniorCitizen : 2\n",
      "Partner : 2\n",
      "Dependents : 2\n",
      "MultipleLines : 3\n",
      "InternetService : 3\n",
      "OnlineSecurity : 3\n",
      "OnlineBackup : 3\n",
      "DeviceProtection : 3\n",
      "TechSupport : 3\n",
      "StreamingTV : 3\n",
      "StreamingMovies : 3\n",
      "PaperlessBilling : 2\n",
      "PaymentMethod : 4\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tenure</th>\n",
       "      <th>Contract</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>Churn</th>\n",
       "      <th>SeniorCitizen_Yes</th>\n",
       "      <th>Partner_Yes</th>\n",
       "      <th>Dependents_Yes</th>\n",
       "      <th>MultipleLines_No phone service</th>\n",
       "      <th>MultipleLines_Yes</th>\n",
       "      <th>InternetService_Fiber optic</th>\n",
       "      <th>...</th>\n",
       "      <th>TechSupport_No internet service</th>\n",
       "      <th>TechSupport_Yes</th>\n",
       "      <th>StreamingTV_No internet service</th>\n",
       "      <th>StreamingTV_Yes</th>\n",
       "      <th>StreamingMovies_No internet service</th>\n",
       "      <th>StreamingMovies_Yes</th>\n",
       "      <th>PaperlessBilling_Yes</th>\n",
       "      <th>PaymentMethod_Credit card (automatic)</th>\n",
       "      <th>PaymentMethod_Electronic check</th>\n",
       "      <th>PaymentMethod_Mailed check</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1.277445</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.160323</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.066327</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.259629</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1.236724</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.362660</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.514251</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.746535</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1.236724</td>\n",
       "      <td>0</td>\n",
       "      <td>0.197365</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     tenure  Contract  MonthlyCharges Churn  SeniorCitizen_Yes  Partner_Yes  \\\n",
       "0 -1.277445         0       -1.160323    No                  0            1   \n",
       "1  0.066327         1       -0.259629    No                  0            0   \n",
       "2 -1.236724         0       -0.362660   Yes                  0            0   \n",
       "3  0.514251         1       -0.746535    No                  0            0   \n",
       "4 -1.236724         0        0.197365   Yes                  0            0   \n",
       "\n",
       "   Dependents_Yes  MultipleLines_No phone service  MultipleLines_Yes  \\\n",
       "0               0                               1                  0   \n",
       "1               0                               0                  0   \n",
       "2               0                               0                  0   \n",
       "3               0                               1                  0   \n",
       "4               0                               0                  0   \n",
       "\n",
       "   InternetService_Fiber optic  ...  TechSupport_No internet service  \\\n",
       "0                            0  ...                                0   \n",
       "1                            0  ...                                0   \n",
       "2                            0  ...                                0   \n",
       "3                            0  ...                                0   \n",
       "4                            1  ...                                0   \n",
       "\n",
       "   TechSupport_Yes  StreamingTV_No internet service  StreamingTV_Yes  \\\n",
       "0                0                                0                0   \n",
       "1                0                                0                0   \n",
       "2                0                                0                0   \n",
       "3                1                                0                0   \n",
       "4                0                                0                0   \n",
       "\n",
       "   StreamingMovies_No internet service  StreamingMovies_Yes  \\\n",
       "0                                    0                    0   \n",
       "1                                    0                    0   \n",
       "2                                    0                    0   \n",
       "3                                    0                    0   \n",
       "4                                    0                    0   \n",
       "\n",
       "   PaperlessBilling_Yes  PaymentMethod_Credit card (automatic)  \\\n",
       "0                     1                                      0   \n",
       "1                     0                                      0   \n",
       "2                     1                                      0   \n",
       "3                     0                                      0   \n",
       "4                     1                                      0   \n",
       "\n",
       "   PaymentMethod_Electronic check  PaymentMethod_Mailed check  \n",
       "0                               1                           0  \n",
       "1                               0                           1  \n",
       "2                               0                           1  \n",
       "3                               0                           0  \n",
       "4                               1                           0  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#One Hot Encoding\n",
    "for column in df.drop('Churn', axis=1).select_dtypes(include=object).columns:\n",
    "    print(f'{column} : {df[column].nunique()}')\n",
    "    df = pd.concat([df, pd.get_dummies(df[column], prefix=column, drop_first=True)], axis=1).drop(column, axis=1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dab0db02",
   "metadata": {},
   "source": [
    "## Prepare Train-Test Sets and Scoring Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "1d01f8fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop('Churn', axis=1)\n",
    "df['Churn'] = df['Churn'].factorize()[0]\n",
    "y = df['Churn']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "16d6cd4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((4930, 26), (2113, 26), (4930,), (2113,))"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#30% of data points are reserved for test_set, and since target class is skewed, data points are stratified to keep the same balance\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, stratify=y, random_state=123)\n",
    "X_train.shape, X_test.shape, y_train.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "3a87f3bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Classification score to return accuracy, f1_score, classification_report and a confusion matrix\n",
    "def classification_score(y_test, y_pred):\n",
    "    f1 = f1_score(y_test, y_pred)\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    print(f'Accuracy Score = {accuracy}\\nF1 Score:{f1}\\n')\n",
    "    print(classification_report(y_test, y_pred))\n",
    "    print(pd.DataFrame(confusion_matrix(y_test, y_pred)[::-1,::-1], columns=['Pred_True', 'Pred_False'], index=['Act_True', 'Act_False']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "20ff13f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#This method returns f1, recall and accuracy scores\n",
    "def evaluate_scores(y_test, y_pred):\n",
    "    f1 = f1_score(y_test, y_pred)\n",
    "    recall = recall_score(y_test, y_pred)\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    return f1, recall, accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08478e96",
   "metadata": {},
   "source": [
    "## Modelling - Evaluation\n",
    "\n",
    "### Run Base Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "32e82cf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Method to run model and return scores\n",
    "def run_model(X_train, X_test, y_train, y_test, func):\n",
    "    model = func()\n",
    "    model.fit(X_train, y_train)\n",
    "    y_pred = model.predict(X_test)\n",
    "    f1_score, recall_score, accuracy_score = evaluate_scores(y_test, y_pred)\n",
    "    model_name = str(model).split('(')[0]\n",
    "    print(f'{model_name} Results\\nf1_score: {f1_score}, recall: {recall_score}, accuracy: {accuracy_score},')\n",
    "    return model_name, f1_score, recall_score, accuracy_score,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "69d8f475",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogisticRegression Results\n",
      "f1_score: 0.5908183632734532, recall: 0.5276292335115864, accuracy: 0.8059630856601988,\n",
      "SGDClassifier Results\n",
      "f1_score: 0.5976597659765978, recall: 0.5918003565062389, accuracy: 0.7884524372929484,\n",
      "KNeighborsClassifier Results\n",
      "f1_score: 0.5442804428044281, recall: 0.5258467023172906, accuracy: 0.7662091812588736,\n",
      "LinearSVC Results\n",
      "f1_score: 0.5878787878787879, recall: 0.5187165775401069, accuracy: 0.8069096071935636,\n",
      "RandomForestClassifier Results\n",
      "f1_score: 0.5540950455005056, recall: 0.48841354723707664, accuracy: 0.791292001893043,\n",
      "[21:14:04] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.5.1/src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.\n",
      "XGBClassifier Results\n",
      "f1_score: 0.5797101449275363, recall: 0.5347593582887701, accuracy: 0.7941315664931378,\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\TCLSOYKAN\\AppData\\Roaming\\Python\\Python39\\site-packages\\xgboost\\sklearn.py:1224: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1].\n",
      "  warnings.warn(label_encoder_deprecation_msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>f1_score</th>\n",
       "      <th>recall_score</th>\n",
       "      <th>accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.590818</td>\n",
       "      <td>0.527629</td>\n",
       "      <td>0.805963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SGDClassifier</td>\n",
       "      <td>0.597660</td>\n",
       "      <td>0.591800</td>\n",
       "      <td>0.788452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KNeighborsClassifier</td>\n",
       "      <td>0.544280</td>\n",
       "      <td>0.525847</td>\n",
       "      <td>0.766209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LinearSVC</td>\n",
       "      <td>0.587879</td>\n",
       "      <td>0.518717</td>\n",
       "      <td>0.806910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RandomForestClassifier</td>\n",
       "      <td>0.554095</td>\n",
       "      <td>0.488414</td>\n",
       "      <td>0.791292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>XGBClassifier</td>\n",
       "      <td>0.579710</td>\n",
       "      <td>0.534759</td>\n",
       "      <td>0.794132</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    model  f1_score  recall_score  accuracy\n",
       "0      LogisticRegression  0.590818      0.527629  0.805963\n",
       "1           SGDClassifier  0.597660      0.591800  0.788452\n",
       "2    KNeighborsClassifier  0.544280      0.525847  0.766209\n",
       "3               LinearSVC  0.587879      0.518717  0.806910\n",
       "4  RandomForestClassifier  0.554095      0.488414  0.791292\n",
       "5           XGBClassifier  0.579710      0.534759  0.794132"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Run all models are save the results\n",
    "models = [LogisticRegression, SGDClassifier, KNeighborsClassifier, LinearSVC, RandomForestClassifier, XGBClassifier]\n",
    "model_results = []\n",
    "for model in models:\n",
    "    model_results.append(run_model(X_train, X_test, y_train, y_test, model))\n",
    "results_df = pd.DataFrame(model_results, columns=['model', 'f1_score','recall_score','accuracy'])\n",
    "results_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "465e1fbd",
   "metadata": {},
   "source": [
    "These are the results of 6 different models with default settings. Comparing the f1-recall scores LogisticRegression, KNN and XGBClassifier seem to perform better."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecd3fa2d",
   "metadata": {},
   "source": [
    "### Displaying Feature Importances\n",
    "\n",
    "We can use the feature importance attribute of RandomForestClassifier to see which features have larger effect on our predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "541bd7a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rfc = RandomForestClassifier()\n",
    "rfc.fit(X_train, y_train)\n",
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "feature_df = pd.DataFrame({'feature_name': X_train.columns, 'importance': rfc.feature_importances_}).sort_values(by='importance', ascending=False)\n",
    "sns.barplot(x='importance', y='feature_name', data=feature_df, color='r', ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32f351bd",
   "metadata": {},
   "source": [
    "### Model Tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "938b0d8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Method to tune models using GridSearch and store the results\n",
    "def tune_model(X_train, X_test, y_train, y_test, func, param_grid):\n",
    "    model = func()\n",
    "    cv = GridSearchCV(estimator=model, param_grid=param_grid, cv=5, scoring='f1', verbose=-1, n_jobs=-1)\n",
    "    cv.fit(X_train, y_train)\n",
    "    y_pred = cv.predict(X_test)\n",
    "    f1_score, recall_score, accuracy_score = evaluate_scores(y_test, y_pred)\n",
    "    model_name = str(model).split('(')[0]\n",
    "    print(f'{model_name} Results\\nf1_score: {f1_score}, recall: {recall_score}, accuracy: {accuracy_score},')\n",
    "    return model_name, f1_score, recall_score, accuracy_score, cv.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "dcbfb5e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Prepare grids to be tuned for each model\n",
    "param_grid_logreg = {'C':np.linspace(0,2, 6)}\n",
    "param_grid_sgd = {'alpha': np.linspace(0.0001,1,5),\n",
    " 'l1_ratio': np.linspace(0.15,0.9,5),\n",
    " 'class_weight': [None,'balanced'],\n",
    " 'loss': ['hinge','squared_hinge'],\n",
    " 'penalty': ['l1']}\n",
    "param_grid_knn = {'n_neighbors' : np.arange(3,15,2)}\n",
    "param_grid_svm = {'C': np.linspace(0.0001,2,10)}\n",
    "param_grid_rfc = {\n",
    " 'max_depth': [10, 50, 100, None],\n",
    " 'max_features': ['auto', 'sqrt'],\n",
    " 'min_samples_leaf': [1, 2, 4],\n",
    " 'min_samples_split': [2, 5, 10]}\n",
    "param_grid_xgb = {\n",
    " 'max_depth': np.arange(3,10), 'colsample_bytree': np.linspace(0.3,1, 5), 'min_child_weight':range(1,6,2), 'objective':['reg:logistic','binary:logistic']}\n",
    "grids= [param_grid_logreg, param_grid_sgd, param_grid_knn, param_grid_svm, param_grid_rfc, param_grid_xgb]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "5655ecdf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\TCLSOYKAN\\AppData\\Roaming\\Python\\Python39\\site-packages\\sklearn\\model_selection\\_search.py:922: UserWarning: One or more of the test scores are non-finite: [       nan 0.5858643  0.58606884 0.58631524 0.58582074 0.58582074]\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogisticRegression Results\n",
      "f1_score: 0.5894105894105894, recall: 0.5258467023172906, accuracy: 0.8054898248935163,\n",
      "SGDClassifier Results\n",
      "f1_score: 0.6347760060744115, recall: 0.7450980392156863, accuracy: 0.7723615712257453,\n",
      "KNeighborsClassifier Results\n",
      "f1_score: 0.55765595463138, recall: 0.5258467023172906, accuracy: 0.7785139611926172,\n",
      "LinearSVC Results\n",
      "f1_score: 0.5878787878787879, recall: 0.5187165775401069, accuracy: 0.8069096071935636,\n",
      "RandomForestClassifier Results\n",
      "f1_score: 0.5749486652977412, recall: 0.49910873440285203, accuracy: 0.804070042593469,\n",
      "XGBClassifier Results\n",
      "f1_score: 0.576735092864125, recall: 0.5258467023172906, accuracy: 0.7950780880265026,\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\TCLSOYKAN\\AppData\\Roaming\\Python\\Python39\\site-packages\\xgboost\\sklearn.py:1224: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1].\n",
      "  warnings.warn(label_encoder_deprecation_msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>f1_score</th>\n",
       "      <th>recall_score</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>params</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.589411</td>\n",
       "      <td>0.525847</td>\n",
       "      <td>0.805490</td>\n",
       "      <td>{'C': 1.2000000000000002}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SGDClassifier</td>\n",
       "      <td>0.634776</td>\n",
       "      <td>0.745098</td>\n",
       "      <td>0.772362</td>\n",
       "      <td>{'alpha': 0.0001, 'class_weight': 'balanced', ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KNeighborsClassifier</td>\n",
       "      <td>0.557656</td>\n",
       "      <td>0.525847</td>\n",
       "      <td>0.778514</td>\n",
       "      <td>{'n_neighbors': 13}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LinearSVC</td>\n",
       "      <td>0.587879</td>\n",
       "      <td>0.518717</td>\n",
       "      <td>0.806910</td>\n",
       "      <td>{'C': 0.8889444444444444}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RandomForestClassifier</td>\n",
       "      <td>0.574949</td>\n",
       "      <td>0.499109</td>\n",
       "      <td>0.804070</td>\n",
       "      <td>{'max_depth': 10, 'max_features': 'auto', 'min...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>XGBClassifier</td>\n",
       "      <td>0.576735</td>\n",
       "      <td>0.525847</td>\n",
       "      <td>0.795078</td>\n",
       "      <td>{'colsample_bytree': 1.0, 'max_depth': 4, 'min...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    model  f1_score  recall_score  accuracy  \\\n",
       "0      LogisticRegression  0.589411      0.525847  0.805490   \n",
       "1           SGDClassifier  0.634776      0.745098  0.772362   \n",
       "2    KNeighborsClassifier  0.557656      0.525847  0.778514   \n",
       "3               LinearSVC  0.587879      0.518717  0.806910   \n",
       "4  RandomForestClassifier  0.574949      0.499109  0.804070   \n",
       "5           XGBClassifier  0.576735      0.525847  0.795078   \n",
       "\n",
       "                                              params  \n",
       "0                          {'C': 1.2000000000000002}  \n",
       "1  {'alpha': 0.0001, 'class_weight': 'balanced', ...  \n",
       "2                                {'n_neighbors': 13}  \n",
       "3                          {'C': 0.8889444444444444}  \n",
       "4  {'max_depth': 10, 'max_features': 'auto', 'min...  \n",
       "5  {'colsample_bytree': 1.0, 'max_depth': 4, 'min...  "
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Tune all models and store results in a dataframe\n",
    "models = [LogisticRegression, SGDClassifier, KNeighborsClassifier, LinearSVC, RandomForestClassifier, XGBClassifier]\n",
    "cv_results = []\n",
    "for model, param_grid in zip(models, grids):\n",
    "    cv_results.append(tune_model(X_train, X_test, y_train, y_test, model, param_grid))\n",
    "cv_results_df = pd.DataFrame(cv_results, columns=['model', 'f1_score','recall_score','accuracy', 'params'])\n",
    "cv_results_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dd0174a",
   "metadata": {},
   "source": [
    "After tuning, SGDClassifier has reached a higher f1score.\n",
    "Test set can be used to evaluate this model and analyze detailed classification report"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f6d5e3e",
   "metadata": {},
   "source": [
    "### Evaluation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "d709bd6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'alpha': 0.0001,\n",
       " 'class_weight': 'balanced',\n",
       " 'l1_ratio': 0.7125,\n",
       " 'loss': 'hinge',\n",
       " 'penalty': 'l1'}"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_results_df.iloc[1, 4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "6a214e7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "sgd_cfl = SGDClassifier(alpha= 0.0001,\n",
    " l1_ratio= 0.7125,\n",
    " class_weight= 'balanced',\n",
    " loss='hinge',\n",
    " penalty= 'l1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "633badf2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SGDClassifier(class_weight='balanced', l1_ratio=0.7125, penalty='l1')"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgd_cfl.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "aa8ffdce",
   "metadata": {},
   "outputs": [],
   "source": [
    "preds = sgd_cfl.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "93f068e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy Score = 0.7728348319924279\n",
      "F1 Score:0.6238244514106582\n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      0.80      0.84      1552\n",
      "           1       0.56      0.71      0.62       561\n",
      "\n",
      "    accuracy                           0.77      2113\n",
      "   macro avg       0.72      0.75      0.73      2113\n",
      "weighted avg       0.80      0.77      0.78      2113\n",
      "\n",
      "           Pred_True  Pred_False\n",
      "Act_True         398         163\n",
      "Act_False        317        1235\n"
     ]
    }
   ],
   "source": [
    "classification_score(y_test, preds)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "964c57f4",
   "metadata": {},
   "source": [
    "COMMENTS ON REPORT\n",
    "* %77 Accuract is low, considering that our target values are %73 No and %27 yes\n",
    "* F1 score and recall seems to better (we made the tuning for f1 score). \n",
    "* 71% Recall makes this model preferable as we do not want to miss a potential churn. \n",
    "* In the confusion matrix, we can see that of all 561 churns we have predicted 398 correctly"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "119d58b3",
   "metadata": {},
   "source": [
    "### FURTHER STEPS\n",
    "* Target Encoding can be used for encoding numerical variables\n",
    "* RandomSearchCV can be applied, using larger search spaces\n",
    "* We can use Model Blending & Ensemble for better evaluation\n",
    "* Polynomial features can be generated and included in training-evaluation"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}