category_02_marketing/02_Telecom_users_analysis/Clone_EDA_and_Building_models_for_predicting_outflow.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e8eaa1e6",
   "metadata": {},
   "source": [
    "# [Clone Project for practice] EDA and Building models for predicting outflow"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4388f4b0",
   "metadata": {},
   "source": [
    "Work description: \n",
    "\n",
    "Any business wants to maximize the number of customers. To achieve this goal, it is important not only to try to attract new ones, but also to retain existing ones. Retaining a client will cost the company less than attracting a new one. In addition, a new client may be weakly interested in business services and it will be difficult to work with him, while old clients already have the necessary data on interaction with the service. \n",
    "\n",
    "Accordingly, predicting the churn, we can react in time and try to keep the client who wants to leave. Based on the data about the services that the client uses, we can make him a special offer, trying to change his decision to leave the operator. Thanks to this, the task of retention will be easier to implement than the task of attracting new users, about which we do not know anything yet. \n",
    "\n",
    "You are provided with a dataset from a telecommunications company. The data contains information about almost six thousand users, their demographic characteristics, the services they use, the duration of using the operator's services, the method of payment, and the amount of payment. \n",
    "\n",
    "The task is to analyze the data and predict the churn of users (to identify people who will and will not renew their contract). The work should include the following mandatory items:\n",
    "\n",
    "- Description of data (with calculation of basic statistics) ,\n",
    "- Research of dependencies and formulation of hypotheses,\n",
    "- Building models for predicting outflow (with justification for the choice of a particular model) based on tested hypotheses and identified relationships,\n",
    "- Comparison of the quality of the obtained models.\n",
    "\n",
    "\n",
    "In the second section, there must be a justification of hypotheses, a detailed description of the identified relationships, as well as their visualization. \n",
    "In the fourth, general conclusions of the work should be formulated additionally.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc74944f",
   "metadata": {},
   "source": [
    "**telecom_users.csv contains the following values:**\n",
    "\n",
    "\n",
    "- customerID - customer id \n",
    "- gender - client gender (male / female) \n",
    "- SeniorCitizen - whether the client is a pensioner (1, 0) \n",
    "- Partner - whether the client is married (Yes, No) \n",
    "- Dependents - does the client have dependents (Yes, No) \n",
    "- tenure - how many months a person has been a client of the company \n",
    "- PhoneService - is the telephone service activated (Yes, No) \n",
    "- MultipleLines - whether multiple telephone lines are connected (Yes, No, No phone service) \n",
    "- InternetService - client's Internet provider (DSL, Fiber optic, No) \n",
    "- OnlineSecurity - is the online security service enabled (Yes, No, No internet service) \n",
    "- OnlineBackup - is the online backup service activated (Yes, No, No internet service) \n",
    "- DeviceProtection - does the client have equipment insurance (Yes, No, No internet service) \n",
    "- TechSupport - is the technical support service activated (Yes, No, No internet service) \n",
    "- StreamingTV - is the streaming TV service activated (Yes, No, No internet service) \n",
    "- StreamingMovies - is the streaming cinema service activated (Yes, No, No internet service) \n",
    "- Contract - type of customer contract (Month-to-month, One year, Two year) \n",
    "- PaperlessBilling - whether the client uses paperless billing (Yes, No) \n",
    "- PaymentMethod - payment method (Electronic check, Mailed check, Bank transfer (automatic), Credit card (automatic)) \n",
    "- MonthlyCharges - current monthly payment \n",
    "- TotalCharges - the total amount that the client has paid for the services for the entire time \n",
    "- Churn - whether there was a churn (Yes or No) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "474efb27",
   "metadata": {},
   "source": [
    "## 1. Data Description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2d212afa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import math\n",
    "import missingno as msno\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "plt.style.use('seaborn-darkgrid')\n",
    "palette = plt.get_cmap('Set2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fe47e9b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('./data/telecom_users.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3588a506",
   "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>Unnamed: 0</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>...</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>1869</td>\n",
       "      <td>7010-BRBUU</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>72</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>24.10</td>\n",
       "      <td>1734.65</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4528</td>\n",
       "      <td>9688-YGXVR</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>44</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</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>88.15</td>\n",
       "      <td>3973.2</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6344</td>\n",
       "      <td>9286-DOJGF</td>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>38</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</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>Bank transfer (automatic)</td>\n",
       "      <td>74.95</td>\n",
       "      <td>2869.85</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6739</td>\n",
       "      <td>6994-KERXL</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>55.90</td>\n",
       "      <td>238.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>432</td>\n",
       "      <td>2181-UAESM</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>...</td>\n",
       "      <td>Yes</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>Electronic check</td>\n",
       "      <td>53.45</td>\n",
       "      <td>119.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  customerID  gender  SeniorCitizen Partner Dependents  tenure  \\\n",
       "0        1869  7010-BRBUU    Male              0     Yes        Yes      72   \n",
       "1        4528  9688-YGXVR  Female              0      No         No      44   \n",
       "2        6344  9286-DOJGF  Female              1     Yes         No      38   \n",
       "3        6739  6994-KERXL    Male              0      No         No       4   \n",
       "4         432  2181-UAESM    Male              0      No         No       2   \n",
       "\n",
       "  PhoneService MultipleLines InternetService  ...     DeviceProtection  \\\n",
       "0          Yes           Yes              No  ...  No internet service   \n",
       "1          Yes            No     Fiber optic  ...                  Yes   \n",
       "2          Yes           Yes     Fiber optic  ...                   No   \n",
       "3          Yes            No             DSL  ...                   No   \n",
       "4          Yes            No             DSL  ...                  Yes   \n",
       "\n",
       "           TechSupport          StreamingTV      StreamingMovies  \\\n",
       "0  No internet service  No internet service  No internet service   \n",
       "1                   No                  Yes                   No   \n",
       "2                   No                   No                   No   \n",
       "3                   No                   No                  Yes   \n",
       "4                   No                   No                   No   \n",
       "\n",
       "         Contract PaperlessBilling              PaymentMethod MonthlyCharges  \\\n",
       "0        Two year               No    Credit card (automatic)          24.10   \n",
       "1  Month-to-month              Yes    Credit card (automatic)          88.15   \n",
       "2  Month-to-month              Yes  Bank transfer (automatic)          74.95   \n",
       "3  Month-to-month              Yes           Electronic check          55.90   \n",
       "4  Month-to-month               No           Electronic check          53.45   \n",
       "\n",
       "  TotalCharges  Churn  \n",
       "0      1734.65     No  \n",
       "1       3973.2     No  \n",
       "2      2869.85    Yes  \n",
       "3        238.5     No  \n",
       "4        119.5     No  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f62606a9",
   "metadata": {},
   "source": [
    "Let's take a look at the presence of missing values, so as not to face unpleasant surprises in the futures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "28cf4f5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.bar(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4bb37ed",
   "metadata": {},
   "source": [
    "Find out how many unique values are contained in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "29fb5685",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0          5986\n",
       "customerID          5986\n",
       "gender                 2\n",
       "SeniorCitizen          2\n",
       "Partner                2\n",
       "Dependents             2\n",
       "tenure                73\n",
       "PhoneService           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",
       "Contract               3\n",
       "PaperlessBilling       2\n",
       "PaymentMethod          4\n",
       "MonthlyCharges      1526\n",
       "TotalCharges        5611\n",
       "Churn                  2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ebae1ee",
   "metadata": {},
   "source": [
    "We can conclude that there are no duplicate customers in the data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac8f2a75",
   "metadata": {},
   "source": [
    "Next, let's start examining each attribute of the dataset seperately and display a number of statistics for each of them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dff2a075",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0            int64\n",
       "customerID           object\n",
       "gender               object\n",
       "SeniorCitizen         int64\n",
       "Partner              object\n",
       "Dependents           object\n",
       "tenure                int64\n",
       "PhoneService         object\n",
       "MultipleLines        object\n",
       "InternetService      object\n",
       "OnlineSecurity       object\n",
       "OnlineBackup         object\n",
       "DeviceProtection     object\n",
       "TechSupport          object\n",
       "StreamingTV          object\n",
       "StreamingMovies      object\n",
       "Contract             object\n",
       "PaperlessBilling     object\n",
       "PaymentMethod        object\n",
       "MonthlyCharges      float64\n",
       "TotalCharges         object\n",
       "Churn                object\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e835ca7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5986.000000</td>\n",
       "      <td>5986.000000</td>\n",
       "      <td>5986.000000</td>\n",
       "      <td>5986.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3533.561310</td>\n",
       "      <td>0.161377</td>\n",
       "      <td>32.468760</td>\n",
       "      <td>64.802213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2035.705666</td>\n",
       "      <td>0.367909</td>\n",
       "      <td>24.516391</td>\n",
       "      <td>30.114702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1777.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3546.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>70.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5291.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>89.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7042.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>118.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0  SeniorCitizen       tenure  MonthlyCharges\n",
       "count  5986.000000    5986.000000  5986.000000     5986.000000\n",
       "mean   3533.561310       0.161377    32.468760       64.802213\n",
       "std    2035.705666       0.367909    24.516391       30.114702\n",
       "min       0.000000       0.000000     0.000000       18.250000\n",
       "25%    1777.250000       0.000000     9.000000       35.650000\n",
       "50%    3546.500000       0.000000    29.000000       70.400000\n",
       "75%    5291.750000       0.000000    56.000000       89.900000\n",
       "max    7042.000000       1.000000    72.000000      118.750000"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "81fec594",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5986.000000</td>\n",
       "      <td>5986.000000</td>\n",
       "      <td>5986.000000</td>\n",
       "      <td>5986.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3533.561310</td>\n",
       "      <td>0.161377</td>\n",
       "      <td>32.468760</td>\n",
       "      <td>64.802213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2035.705666</td>\n",
       "      <td>0.367909</td>\n",
       "      <td>24.516391</td>\n",
       "      <td>30.114702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1777.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3546.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>70.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5291.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>89.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7042.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>118.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0  SeniorCitizen       tenure  MonthlyCharges\n",
       "count  5986.000000    5986.000000  5986.000000     5986.000000\n",
       "mean   3533.561310       0.161377    32.468760       64.802213\n",
       "std    2035.705666       0.367909    24.516391       30.114702\n",
       "min       0.000000       0.000000     0.000000       18.250000\n",
       "25%    1777.250000       0.000000     9.000000       35.650000\n",
       "50%    3546.500000       0.000000    29.000000       70.400000\n",
       "75%    5291.750000       0.000000    56.000000       89.900000\n",
       "max    7042.000000       1.000000    72.000000      118.750000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe(include=[np.number])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fe9ffa8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>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>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "      <td>5986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>5986</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>5611</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>9700-ZCLOT</td>\n",
       "      <td>Male</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>20.2</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>3050</td>\n",
       "      <td>3082</td>\n",
       "      <td>4195</td>\n",
       "      <td>5396</td>\n",
       "      <td>2848</td>\n",
       "      <td>2627</td>\n",
       "      <td>2982</td>\n",
       "      <td>2605</td>\n",
       "      <td>2640</td>\n",
       "      <td>2960</td>\n",
       "      <td>2389</td>\n",
       "      <td>2356</td>\n",
       "      <td>3269</td>\n",
       "      <td>3528</td>\n",
       "      <td>2006</td>\n",
       "      <td>10</td>\n",
       "      <td>4399</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        customerID gender Partner Dependents PhoneService MultipleLines  \\\n",
       "count         5986   5986    5986       5986         5986          5986   \n",
       "unique        5986      2       2          2            2             3   \n",
       "top     9700-ZCLOT   Male      No         No          Yes            No   \n",
       "freq             1   3050    3082       4195         5396          2848   \n",
       "\n",
       "       InternetService OnlineSecurity OnlineBackup DeviceProtection  \\\n",
       "count             5986           5986         5986             5986   \n",
       "unique               3              3            3                3   \n",
       "top        Fiber optic             No           No               No   \n",
       "freq              2627           2982         2605             2640   \n",
       "\n",
       "       TechSupport StreamingTV StreamingMovies        Contract  \\\n",
       "count         5986        5986            5986            5986   \n",
       "unique           3           3               3               3   \n",
       "top             No          No              No  Month-to-month   \n",
       "freq          2960        2389            2356            3269   \n",
       "\n",
       "       PaperlessBilling     PaymentMethod TotalCharges Churn  \n",
       "count              5986              5986         5986  5986  \n",
       "unique                2                 4         5611     2  \n",
       "top                 Yes  Electronic check         20.2    No  \n",
       "freq               3528              2006           10  4399  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe(include=[np.object])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a9c42d7",
   "metadata": {},
   "source": [
    "**Conclusions that can be drawn at the moment:**\n",
    "\n",
    "- The difference between the sexes of clients is very small - about 50 people (male gender prevails).\n",
    "- Most clients have no dependents.\n",
    "- 90% of clients have a telephone service connected.\n",
    "- On average, half of the clients do not use additional services.\n",
    "- Half of the clients have a contract type - 'From month to month'\n",
    "- More than half of customers use paperless billing.\n",
    "- One third of clients have a payment method - 'Electronic check'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "244a0784",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = data.describe(include=[np.object])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "293113a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp2 = temp.iloc[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "97e901f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(x=temp2.index, height=temp2.values, data=temp2)\n",
    "plt.xticks(rotation=90);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eadb8b42",
   "metadata": {},
   "source": [
    "## 2. Dependency research and formulation of hypotheses\n",
    "\n",
    "As we can see the conclusion that there are slightly more male clients than female clients is proved on the graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8ce8a1e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         Male\n",
       "1       Female\n",
       "2       Female\n",
       "3         Male\n",
       "4         Male\n",
       "         ...  \n",
       "5981      Male\n",
       "5982    Female\n",
       "5983      Male\n",
       "5984      Male\n",
       "5985      Male\n",
       "Name: gender, Length: 5986, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['gender']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "aa871b38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Male      3050\n",
       "Female    2936\n",
       "Name: gender, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['gender'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "918f3a95",
   "metadata": {},
   "outputs": [],
   "source": [
    "gender = data['gender'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5b8db039",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,5))\n",
    "plot = gender.plot.pie(fontsize=16, autopct='%1.0f%%', labeldistance=1.2, radius=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7363e21",
   "metadata": {},
   "source": [
    "Here there is about the same situation of married and unmarried a little more than married of unmarried"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b4f08bd5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Yes\n",
       "1        No\n",
       "2       Yes\n",
       "3        No\n",
       "4        No\n",
       "       ... \n",
       "5981    Yes\n",
       "5982    Yes\n",
       "5983    Yes\n",
       "5984     No\n",
       "5985     No\n",
       "Name: Partner, Length: 5986, dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Partner']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4b9deaac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     3082\n",
       "Yes    2904\n",
       "Name: Partner, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Partner'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "68463b43",
   "metadata": {},
   "outputs": [],
   "source": [
    "ismarried = data['Partner'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "20ad161e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.barplot(x=ismarried.index, y=ismarried.values, alpha=0.8)\n",
    "plt.title('Number of Clients who are married or not', fontsize=18, pad=10)\n",
    "plt.ylabel('Number of clients', fontsize=14)\n",
    "plt.xticks(fontsize=14)\n",
    "plt.yticks(fontsize=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c86613bb",
   "metadata": {},
   "source": [
    "In 1-2 months ~ 510 people use the services, but then it drops sharply. It can be assumed that at this time most of the clients leave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a46fcda4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       72\n",
       "1       44\n",
       "2       38\n",
       "3        4\n",
       "4        2\n",
       "        ..\n",
       "5981     1\n",
       "5982    23\n",
       "5983    12\n",
       "5984    12\n",
       "5985    26\n",
       "Name: tenure, Length: 5986, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['tenure']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "66967d9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "tenure = data['tenure']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "805d28d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "72 0\n"
     ]
    }
   ],
   "source": [
    "print(tenure.max(), tenure.min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ab8ee270",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2Nla4fPmy4OTkJIwbN07r/eSvv/4SnJycNOtrYd727dsLjx8/1rTr27evoFKphO+++06z7OjRo4JKpRK2bdsmCIIgHDt2TFCpVIK7u7vWcy3MsWXLFkEQBOHAgQM6/95btmwRVCqVEB0drdVf3759tZ7X6tWrBZVKJRw5ckQQBEE4e/asoFKphDVr1mja5OTkCE2bNhVmzJihd97EgLsyjeCzzz7Dhg0bivz78ssvtdrdvn0bf//9N3r27AmlUqlZXr58ec03qF9//RU1a9bE22+/jWPHjgF4sgvj4sWLGDlyJAoKCvDnn38CeLKVytraWusbmS7ly5dHu3btNLfr1q0LAOjUqZNmmUQiQa1atZCeng4AKFeuHH799VfMnj1bq6979+7BysoKWVlZWsvr1q2L+vXra27b2tqiRo0auH37tmaZt7c3rly5gn/++QfAk836P/74Izp37gy5XF7sc3BwcND6hlr4HDp37qxZZmlpierVq2uew2+//YbHjx/jww8/1Oq/du3a6NGjB06fPq21e6Bp06awtbXV3G7QoAEAaPorjqOjo2brJgDUqlUL1apV0zx/a2trWFpa4rvvvkN0dLRm/hYsWIBvv/222L737t2LNWvWaG0tuHPnDipXrlzk76CLtbU1hgwZorldoUIFDB48GGlpaTh79izu3buH48ePw93dHdnZ2bh79y7u3r2LBw8eoHPnzrh9+zbOnDmj9fjmzZtrjaFUKhEVFYVdu3ZpthRPnDgRO3fuRKVKlaBWqxEbG4u2bdtqzZNUKsXo0aMhCAIOHz6s1ef777+vdbt+/fq4c+dOic8XgNYvZ6VSKd555x2tdXH16tWab+6FdK3bSqUSv//+OzZu3Kh5/KBBgxAZGam1xVQfHx8frduFp1Up3K3y448/QqVSwdbWVjPvd+/e1Wxl/fnnn0vVrtCzc9egQQPk5+cjIyNDb9YvvvgChw8fho2NjWZZZmYmypcvDwDFrmuxsbGoVq2a1pZviUSCRYsWISIiAlJpyR89P/74I6pVqwZnZ2et5+ju7g6ZTIbY2NgSnyMArb+zIQrXO19f3yL9161bV+swkxf13nvvaW0FatiwIYD/Mh86dAgFBQXo2LGj1hzUqFEDDRo0KDIHT/v111+Rk5ODoUOHam3J7dGjB3bt2oUWLVrg8OHDEAQBo0aN0no/cXNzw7vvvovY2Fjk5+drlrdr1w4VKlTQ3HZ0dASg/b5buHXq2V2tQ4YM0XquvXv3RpUqVTTz7enpid9++w1t27bVtHl6l/Wz61uXLl20ntez78/Ozs548803tQ4/iYuLw8OHD0vcI2Nu3JVpBM7OzmjZsmWR5c+ew+jmzZsA/isqnla4mT05ORnAkxfE1q1bkZ+fjxMnTkAikWDAgAFYvXo1Tpw4AXd3dxw5cgTvvvsuypUrV2w+GxsbWFj896cvXLmrV6+u1U4mk2kdr1KuXDnExsbip59+wtWrV3Ht2jXNMUPCM8e/6Nq8LpfLtY736t69O0JCQnDw4EGoVCocPXoU9+7d0+xOK46urLrGffo5FM7/m2++WaS/p+dboVDo7KvwQ/vZY9YMyQc8KWAKjyeSy+WYPXs2pk+fjgkTJkAul6NFixbo0qULevXqpfnw06VcuXI4ceIE9u/fj4SEBFy/fl1ToBjyyy8HB4cihW/hLofCdRIAwsPD9e6uevqYKhsbmyIftF988QUmTpyIqVOnYvr06WjUqBE6d+6Mvn37wtraGvfu3UNWVlax6/7TWQDdfw+1Wl3S0wVQ9O/x9N8CeLKe3LhxA6Ghobh8+TKuX7+O1NTUIv18+umnGDNmDObPn48FCxbA2dkZHTt2xIABA7SKeH2eXfcKi7nCdfP69evIzs5G69atdT6+cN4NbVdI37pc3PxJJBLcu3cPq1evxqVLl3D9+nUkJydrXk/FvQ5u3rwJBwcHrQ97wLD1s9D169dx9+5dg59j1apVtW4b8hx1SUpKQuXKlVGjRo0i99WrVw+//PJLqforzrPrZeHrvnDdvH79OoAnxb8uxb3XF75+nt6dWDhG4ZehwvVO3+vwyJEjWsciPpu38HPk6eWF7wXPfia89dZbRR5bu3Ztrde5RCLBmjVrcOrUKVy/fh3Xr1/XzMWz65sh789eXl5YsWIFbty4gTp16uDAgQNQKpVo1qxZkecrJizMzOjZFfdphStX4Quvffv2WL9+PU6fPo1jx47hnXfegbW1NZo2bYqTJ0/i7t27OH/+PIYNG1biuE8XZU979k302axTpkzB/v370bRpUzRu3BgDBw5E8+bNMXLkyCLtDflGbG9vjyZNmuCHH37AhAkT8MMPP6BGjRo6i9qyeA7FKfxbPP1GZ8hz0MeQx3p7e6Ndu3aIiYlBXFwcfv31Vxw5cgTfffcdduzYoXer4ZIlS7BmzRq88847aNSoEXr27InGjRtjzpw5Bh2EruvNvHB9k8lkmg+yoUOHarbAPOvpN1ldx1W1bt0aP//8s+bf0aNHNVsDd+3aZdC6/+zzN+bfY+vWrZg5cybq1q2LZs2aoUuXLnBzc0N4eDj27dunaVe/fn1ER0cjPj4eP//8M+Lj47F8+XJ8++232Lp1a4nn4Hp2/Sych8I5VKvVaNq0qd7jBAu/NBjaTt+4hoiNjcXYsWOhUCjQqlUrtG/fHi4uLjhy5AhWr15d7GPVavVzvxaf7sPR0VHreLmnVa5cWev2i6wfTytp3Szpi29plJS58LUQFhamtaXKEIWPLW4MQz+DCn8o8yLvu7rmTa1Wa/LdvHkTAwcORFZWFtq2bQtPT080aNAAgiDoPB2JIX/vHj16YMWKFfjhhx8wfPhwxMbGYvDgwS+8bhobCzMzKvz2mJCQUOS+q1evAoBmF2ezZs1QqVIlHDt2DCdPntR8i2zRogWWLFmCn376CcCTAs4YTp48if3792Ps2LFav5gs3B3yvOcf6t69O2bNmoWEhAT8/PPP8Pb2LvEA6uf19Hw/vZu1cBkArV3KxvTo0SNcuHABb7/9Nvr164d+/fohNzcXX375JTZt2oQjR46gY8eORR538+ZNrFmzBj179sSiRYu07jN0l01SUhIEQdB6c0pMTATw5Nt14ZYHmUxW5ADZy5cvIykpCRUrVtTbf25uLi5cuAClUgkvLy94eXmhoKAAGzZswKJFi3DgwAEMGTIElpaWBq37xpaTk4OFCxeiZcuWWL9+vdaHz9MHx6vValy8eBFWVlbo1KmTZtd/VFQUJk2ahB07dpR4VY+bN2/i7bff1twufK6FW85q1aqFR48eFZn3+/fv47ffftNs/TC03YuYM2cO3njjDezcuROWlpaa5U8XqvrY29vj0qVLRZbHxcUhKioKU6ZMKbGP2rVr4+zZs2jVqpXWh3Dhj12MtX7UqlULR44cwe3bt4tsNbt69Spq1qxplHH1ZQGAmjVranbVFXr2YPhnFea8du2aZpcj8OT1OWXKFHh7e2t2OyYkJMDNzU3r8VevXoWlpSWqVKmCzMzMF34uhVv/CuXl5eHmzZuaz7KVK1fizp07+OGHH7TyGrK+6ePg4ABXV1ccPnwYb775Jh4/fmzQHhlz4zFmZmRrawsXFxfs3btX6+fnubm52LBhA+RyOd59910AT75ttG7dGjExMbh06RJatGgB4MnZsvPy8rB69Wq4uLjo3PxeFgqPRXl2c/T27dvx+PFjreMQSuP9999HuXLlsGLFCmRkZBh133+bNm1Qvnx5bNiwQevYhZSUFOzbtw+urq46d0EWp/ADw5Ddm0/7999/MXToUHz//feaZXK5HO+88w4A3VuhAGh2HT/7d4iLi0NiYqJBf4fbt29rHXfx+PFjbNmyBY6OjnBycoJCoYCLiwt2796ttTsvLy8Pn3/+OSZMmFDsOBkZGRg4cKDWVhWpVKo5fkYqlUImk6Fdu3Y4evQozp07p2knCALWrl0LiUSC9957r8TnUhays7Px+PFjODo6ahVlFy5c0Pz6OT8/H2q1GiNGjMD8+fO1Hl/4gWbIN/hnTwWyYcMGSCQSTRHesWNHXLx4scixQ2FhYfD398e///5bqnYvIiMjA/b29lpF2a1bt/Djjz8CKH4XYfv27XH79m0cOnRIa/nGjRsRGxtbZLejLh07dkRGRkaR08xs3boVkyZNwm+//VaapwPgyd+opNdq4d/i2a2CMTExuHr16nOtl4aMq0uHDh00WZ7eunXhwgWMGTMGGzdu1PvYNm3aoFy5cti+fbvWYw8ePIiDBw9q9b927VqtNufOncOvv/4Kd3f3Mtu6VPgL50I7duzAw4cP0aVLFwBP1reKFSvC3t5e0yY3Nxdbt24FUPpd0oW8vb1x+vRp7N27F2+++abmPVbMuMXMzKZNm4aRI0eiX79+GDx4MCpVqoS9e/fi3LlzmDZtmtbm+sJz0EilUjRt2hQANLs0b9y4gV69ehktZ+PGjWFlZYUFCxYgOTkZlStXxu+//46oqCiUL18ejx49eq5+q1atinfffRdRUVGoXbs2GjVqVLbBnxlr8uTJWLBgAQYPHgxvb288evRIc1qMadOmlbrPwuMcli9fjpYtW+o9HuZZbm5uaNasGZYuXYpbt27ByclJ8xPyN998U28/b731Fuzt7fH1118jJycHSqUSp0+fxu7duw3+O5QrVw5Tp07FuXPnoFAosHPnTqSmpuLrr7/WtClcL/v27YvBgwfDxsYGBw4cwN9//41PPvmk2A9WhUIBb29vfPfdd3j8+DEaN26MjIwMbN68GTVq1NAcpB0QEIDff/8dw4cPx/Dhw2Fra4tDhw7h2LFj+PDDD4sUn8ZSpUoVuLm5YdeuXbCyskLdunXx77//YseOHZpi69GjR6hSpQqGDx+OsLAwjBs3Du3atUN2dja2bduGihUrom/fviWOtW/fPmRmZsLV1RVxcXH4+eef8fHHH2u2cPn6+uLHH3/E+PHjMWjQILz99tv4448/EBkZifbt22u2iBva7kW0b98eUVFRmDFjBho2bIikpCTNF7HCOdFn0KBB2LlzJyZNmoShQ4eibt26iI2NxdGjRzF//nyDtor3798fu3fvxpw5c3Du3Dm4urrin3/+wbZt2+Ds7Iw+ffqU+jlVq1YNx48fx/bt29G2bVutIqCQu7s7OnXqhE2bNiE1NRUtW7bUnLahTp06RX4UYOi4Fy9exHfffYcWLVoYvFtSpVJh+PDhCA8PR0ZGBjw8PDSvpUqVKhV7vsfq1atj3LhxWLZsGT766CN4eHggJSUFmzdvRsuWLdGhQwfIZDJN/x9++CE8PDyQnp6O8PBwVK5cGZ988kmpn6s+iYmJGDZsGLy9vTWnH2nRooXmhznt27fH4cOH4evri27duuHhw4fYs2ePZkvb837GeHp6YuHChYiOjtY6NZOYsTAzs8aNG2PLli1Yvnw51q9fj4KCAtSvXx+rVq0qcnxP4Zutk5OTpmArLNJiY2ONthsTAGrUqIE1a9Zg8eLF+OqrryCXy1G3bl2EhITg9OnT2LRpk85N/4bw9vZGbGysSX4p88EHH0ChUGD9+vUICQlBxYoV0aJFC4wfP/65LnY9ePBgHDt2DOvWrcOZM2cMLswkEglWrVqFlStX4ueff8a2bdtQpUoVdOnSBf7+/nqPL5PL5VizZg0WLlyITZs2QRAEODg44PPPP0d+fj7mzZuHs2fPwsXFRe/YCoUCn3/+OYKDg5Geng5nZ2ds2LBB65eVhevlihUrsGHDBuTn56Nu3bpYuHChQZe0mTNnjuZg2wMHDqBixYpo3bo1Jk2apClmHRwcsH37dixbtgxbt25FdnY26tWrh3nz5uk8MaQxhYaGYsGCBdi5cydyc3NRq1YtjBo1CvXq1YOfnx+OHTuGrl27YsKECbCxscHOnTsRHBwMmUyGJk2a4MsvvzToGo9r167F3LlzsX//ftjZ2WHq1Kn44IMPNPfb2Nhg27ZtWL58OQ4ePIht27bB3t4eY8eOxahRozSFoqHtXkTheacOHz6MyMhIKJVK9OrVC507d9as9/q2PlSoUAHh4eFYtmwZDhw4gIcPH6JevXpYtmxZkV9P6iOXy/Htt99i1apViI6Oxt69e6FQKDB48GCMGzeu2N3p+gQEBGDJkiWYM2cO5syZo/PLrEQiQWhoKNauXYs9e/bg8OHDqF69OgYOHAg/P78ix7YZws/PDzNnzsT8+fMxbty4Uu1OCwoKwptvvomtW7ciODgY1tbWaNasGfz9/Utc58aMGQNbW1ts2rQJCxcuhK2tLQYMGAA/Pz9NcRwUFIS6deti69atWLhwIapUqYLOnTtjwoQJZXoZqYCAAPz1119YvHgxrK2t8cEHH2DChAmadXXQoEF48OABduzYgblz56JGjRpo1KgRVq5ciUGDBuHYsWNarxVD1ahRA61bt8aRI0dE/2vMQhKhuKP/iEyg8BidqKgoo17AmJ6cnuHmzZtFTkVBRGQMv//+O0aMGIEFCxY811bOsvDxxx/j/v37xV55Qkx4jBmZlSAI2Lp1K9zc3FiUERFRmbp27Rp+++03sxWFz4O7Msks8vPzMXnyZNy6dQunT5/We505IiKi0vrll1+we/dunDhxAlWrVkXPnj3NHclg3GJGZmFhYYFr164hISEB48eP1/wyh4iI6EVVrFgR8fHxqFSpEpYvX67162Kx4zFmRERERCLBLWZEREREIsHCjIiIiEgkWJgRERERiQQLMyIiIiKRYGFGREREJBImP4/ZwoULcfDgQVSpUgUAULduXSxbtkxz//jx46FQKDBjxgwAT66vFRQUhHv37sHS0hLBwcE6T0Sanv7Q6NmtrMojMzPH6OMYgln0E1MeZtFNTFkAceVhFt2YRT8x5WEWw9naWutcbvLC7NSpUwgJCUGTJk2K3Ld27VqcPHkSnp6emmUBAQEYOXIkvL29ERcXB39/f+zbt6/MrnhfGhYWJV9411SYRT8x5WEW3cSUBRBXHmbRjVn0E1MeZnlxJt2VmZubi/Pnz2PdunXw9vaGn58fkpOTATy5nlZ8fDwGDRqkaZ+amoqEhATN1efd3d2RlZWF8+fPmzI2ERERkUmYtDBLTU1Fq1atMHHiROzduxdubm4YO3YsUlNTMW/ePCxevFhzxXsAuHXrFhQKhebq8wBgZ2eHlJQUU8YmIiIiMgmT7sqsU6cO1q5dq7nt4+OD5cuXY9CgQZg/fz4UCoVW+4KCgiK7LAVB0CreCllZlTf6ZkuZTAobG3Fc1oFZ9BNTHmbRTUxZAHHlYRbdmEU/MeVhlhdn0sLs4sWLuHjxInr16qVZplarkZycjIULFwIAbt++DbVajZycHPj5+SE9PR2CIGgKtLS0NCiVyiJ9m+IAPxsbS2RkZBl9HEMwi35iysMsuokpCyCuPMyiG7PoJ6Y8zGI4URz8L5VKMW/ePDRt2hR16tTBd999h4YNG2Lr1q2aNitWrMC9e/c0v8p0cHBAVFQUvLy8EB8fD6lUCpVKZcrYRERERCZh0sJMpVJh2rRpGDNmDNRqNZRKJUJCQop9TEhICKZPn46wsDDI5XKEhoZqHXNGRERE9Kow+ekyevbsiZ49e+q938/PT+u2o6MjwsPDjR2LiIiIyOy46YmIiIhIJFiYEREREYkECzMiIiIikWBhRkRERCQSLMyIiIiIRIKFGREREZFIsDAjIiIiEgkWZkREREQiwcKMiIiISCRMfub/l9kbdevi1s0bJbZT2tfG6b/OmyARERERvUpYmJXCrZs30C0ktsR2Bye/Z/QsRERE9OrhrkwiIiIikTB5YbZw4UK89957mouZT5w4UXPfrVu30K5dO9y9e1ezLDExEUOHDoWnpyf69euHK1eumDoyERERkUmYfFfmqVOnEBISgiZNmmgt37NnD5YvX460tDSt5QEBARg5ciS8vb0RFxcHf39/7Nu3DxKJxJSxiYiIiIzOpFvMcnNzcf78eaxbtw7e3t7w8/NDcnIyUlNTERMTg2+++UarfWpqKhISEuDl5QUAcHd3R1ZWFs6f54H1RERE9OoxaWGWmpqKVq1aYeLEidi7dy/c3NwwduxYKBQKrFy5EnXr1tVqf+vWLSgUCkil/8W0s7NDSkqKKWMTERERmYRJd2XWqVMHa9eu1dz28fHBV199haSkJNSpU6dI+4KCgiK7LAVBgEwmK9LWyqo8LCyKLi9rMplhtayNjaXRcxh7DEOJKQsgrjzMopuYsgDiysMsujGLfmLKwywvzqSF2cWLF3Hx4kX06tVLs0wQBJQrV05ne3t7e6Snp0MQBE2BlpaWBqVSWaRtZmaOUTI/S60uMKhdRkaWUXPY2FgafQxDiSkLIK48zKKbmLIA4srDLLoxi35iysMshrO1tda53KS7MqVSKebNm4cbN56cpPW7776Dk5OTzkILAJRKJRwcHBAVFQUAiI+Ph1QqhUqlMllmIiIiIlMx6RYzlUqFadOmYcyYMVCr1VAqlQgJCSn2MSEhIZg+fTrCwsIgl8sRGhqqdcwZERER0avC5KfLKDx/mT6XLl3Suu3o6Ijw8HBjxyIiIiIyO256IiIiIhIJFmZEREREIsHCjIiIiEgkWJgRERERiQQLMyIiIiKRYGFGREREJBIszIiIiIhEgoUZERERkUiwMCMiIiISCRZmRERERCLBwoyIiIhIJFiYEREREYmEWQqzmJgYNG7cGACgVqsxc+ZMeHp6wtPTE8HBwRAEAQCQmJiIoUOHwtPTE/369cOVK1fMEZeIiIjIJExemCUmJiI4OFhzOzIyElevXsW+ffsQGRmJ48eP4+DBgwCAgIAADBo0CFFRUfDz84O/v7+maCMiIiJ61Zi0MHv8+DGmTJmCwMBAzTK1Wo3Hjx8jNzcXubm5yMvLQ/ny5ZGamoqEhAR4eXkBANzd3ZGVlYXz58+bMjIRERGRyZi0MJsxYwYGDhwIJycnzbI+ffqgcuXKaN++Pdq2bYs33ngDHTt2xK1bt6BQKCCV/hfRzs4OKSkppoxMREREZDIWphooIiICFhYW6NevH5KSkjTLV65ciWrVquHo0aPIycnB2LFjsX79ejRq1AgSiUSrD0EQIJPJdPZvZVUeFha67ytLMplhtayNjaXRcxh7DEOJKQsgrjzMopuYsgDiysMsujGLfmLKwywvzmSF2e7du5GdnY2ePXsiLy9P8//MzEzMmzcPcrkccrkcvXv3RnR0NDw9PZGeng5BEDQFWlpaGpRKpc7+MzNzTPI81OoCg9plZGQZNYeNjaXRxzCUmLIA4srDLLqJKQsgrjzMohuz6CemPMxiOFtba53LTbYr8/vvv8f+/fsRGRmJNWvWoEKFCoiMjETTpk3xww8/AADy8vJw+PBhuLm5QalUwsHBAVFRUQCA+Ph4SKVSqFQqU0UmIiIiMimzn8ds6tSpePjwIbp164ZevXpBqVTi448/BgCEhIRg69at6N69O5YuXYrQ0FCtY86IiIiIXiUm25X5tNq1a+PUqVMAgKpVqyIkJERnO0dHR4SHh5syGhEREZHZcPMTERERkUiwMCMiIiISCRZmRERERCLBwoyIiIhIJFiYEREREYkECzMiIiIikWBhRkRERCQSLMyIiIiIRIKFGREREZFImOXM/0RERESm5NroHaQkJ5XYTmlfG6f/Om+CRLqxMCMiIqJXXkpyErqFxJbY7uDk94yepTjclUlEREQkEmYpzGJiYtC4cWPN7ZYtW6Jnz56af3v37gUAJCYmYujQofD09ES/fv1w5coVc8QlIiIiMgmT78pMTExEcHCw5nZCQgJsbGwQGRlZpG1AQABGjhwJb29vxMXFwd/fH/v27YNEIjFlZCIiIiKTMOkWs8ePH2PKlCkIDAzULDt16hSkUimGDBkCb29vrFy5Emq1GqmpqUhISICXlxcAwN3dHVlZWTh/3nwH5BEREREZk0m3mM2YMQMDBw6Ek5OTZplarUabNm3wySefID8/H6NGjYKVlRUaNWoEhUIBqfS/2tHOzg4pKSlwdnY2ZWwiIiIikzBZYRYREQELCwv069cPSUn//Vx1wIABWu0+/PBDhIeHw9XVtcguS0EQIJPJdPZvZVUeFha67ytLMplhGxltbCyNnsPYYxhKTFkAceVhFt3ElAUQVx5m0Y1Z9BNTHrFnEctneHFMVpjt3r0b2dnZ6NmzJ/Ly8jT//+CDD9CgQQPUr18fwJPiy8LCAvb29khPT4cgCJoCLS0tDUqlUmf/mZk5JnkeanWBQe0yMrKMmsPGxtLoYxhKTFkAceVhFt3ElAUQVx5m0Y1Z9BNTHrFnEctnOADY2lrrXG6yY8y+//577N+/H5GRkVizZg0qVKiAyMhIXL58GcuXL4darUZ2djYiIiLg6ekJpVIJBwcHREVFAQDi4+MhlUqhUqlMFZmIiIjIpMx+HrPx48ejSpUq8Pb2Ro8ePdC4cWP0798fABASEoKtW7eie/fuWLp0KUJDQ7WOOSMiIiJ6lZjlzP+1a9fGqVOnAAAVK1bEggULdLZzdHREeHi4KaMRERERmQ03PxERERGJBAszIiIiIpFgYUZEREQkEizMiIiIiESChRkRERGRSLAwIyIiIhIJFmZEREREIsHCjIiIiEgkWJgRERERiQQLMyIiIiKRYGFGREREJBIszIiIiIhEwiyFWUxMDBo3bgwAyM7OxtSpU9G9e3d4eXlh6tSpyM7OBgAkJiZi6NCh8PT0RL9+/XDlyhVzxCUiIiIyCZMXZomJiQgODtbcDgsLg1qtxt69e7F3717k5ORg9erVAICAgAAMGjQIUVFR8PPzg7+/PwRBMHVkIiIiIpMwaWH2+PFjTJkyBYGBgZplzZs3x5gxYyCVSiGTydCgQQMkJycjNTUVCQkJ8PLyAgC4u7sjKysL58+fN2VkIiIiIpMxaWE2Y8YMDBw4EE5OTpplbdu2Rd26dQEAN2/exMaNG9GtWzfcunULCoUCUul/Ee3s7JCSkmLKyEREREQmY2GqgSIiImBhYYF+/fohKSmpyP1nz57F+PHjMWzYMHTo0AF//vknJBKJVhtBECCTyXT2b2VVHhYWuu8rSzKZYbWsjY2l0XMYewxDiSkLIK48zKKbmLIA4srDLLoxi35iyiP2LGL5DC+OyQqz3bt3Izs7Gz179kReXp7m/2vWrMHJkycxa9YsTJ8+Hd7e3gAAe3t7pKenQxAETYGWlpYGpVKps//MzByTPA+1usCgdhkZWUbNYWNjafQxDCWmLIC48jCLbmLKAogrD7Poxiz6iSmP2LOI5TMcAGxtrXUuN1lh9v3332v+n5SUBG9vb0RGRuLw4cOYO3cuvvnmGzRs2FDTRqlUwsHBAVFRUfDy8kJ8fDykUilUKpWpIhMRERGZlMkKM32Cg4MhCAKmTZumWdakSRPMnDkTISEhmD59OsLCwiCXyxEaGqp1zBkRERHRq8QshVnt2rVx6tQpAEB0dLTedo6OjggPDzdVLCIiIiKz4uYnIiIiIpFgYUZEREQkEizMiIiIiESChRkRERGRSLAwIyIiIhIJFmZEREREIsHCjIiIiEgkWJgRERERiQQLMyIiIiKRYGFGREREJBIszIiIiIhEgoUZERERkUiY/CLmmzdvxpYtWyCRSFCnTh3MnTsXMpkMX3zxBS5cuABLS0v06dMHw4cPBwAkJiYiKCgI9+7dg6WlJYKDg1GvXj1TxyYiIiIyOpMWZmfPnsX69esRGRkJa2trBAcHIzQ0FDk5ObC0tERUVBTUajXGjRuH2rVro0OHDggICMDIkSPh7e2NuLg4+Pv7Y9++fZBIJKaMTkRERGR0Jt2V6eLigujoaFhbWyMnJwepqamwsbHBuXPn0LNnT8hkMsjlcrz33nuIjo5GamoqEhIS4OXlBQBwd3dHVlYWzp8/b8rYRERERCZh8mPMypUrh5iYGLRv3x4nTpxAnz594OrqisjISOTl5eHRo0eIjo5Geno6bt26BYVCAan0v5h2dnZISUkxdWwiIiIiozP5MWYA4OHhAQ8PD2zfvh0+Pj7YuXMnvvzyS/Tu3Rs1atTAu+++i1OnTqGgoKDILktBECCTyYr0aWVVHhYWRZeXNZnMsFrWxsbS6DmMPYahxJQFEFceZtFNTFkAceVhFt2YRT8x5RF7FrF8hhfHpIXZtWvXkJ6ejmbNmgEA+vbti5kzZ+LRo0eYMmUKbGxsAABff/01HBwcYG9vj/T0dAiCoCnQ0tLSoFQqi/SdmZljkuegVhcY1C4jI8uoOWxsLI0+hqHElAUQVx5m0U1MWQBx5WEW3ZhFPzHlEXsWsXyGA4CtrbXO5SbdlZmeno7Jkyfj7t27AIB9+/bh7bffxrZt27B8+XIAwO3bt7Fjxw50794dSqUSDg4OiIqKAgDEx8dDKpVCpVKZMjYRERGRSZh0i1mzZs0wevRojBgxAjKZDAqFAqtWrULVqlXx6aefonv37hAEARMmTICrqysAICQkBNOnT0dYWBjkcjlCQ0O1jjkjIiIielWY/BizIUOGYMiQIUWWf/XVVzrbOzo6Ijw83NixiIiIiMyOm56IiIiIRIKFGREREZFIsDAjIiIiEgkWZkREREQiwcKMiIiISCRYmBERERGJBAszIiIiIpFgYUZEREQkEizMiIiIiESChRkRERGRSLAwIyIiIhIJFmZEREREImFQYSYIArZv347Y2FgAwJUrV+Dl5YXGjRsjMDAQjx8/NnjAzZs3w8vLC927d8eYMWNw584dAEBERAR69+6N999/HwEBAcjNzQUAJCYmYujQofD09ES/fv1w5cqVUj5FIiIiopeDQYVZWFgYvvjiC1y9ehUA8Mknn+Dx48fw8fHBkSNHsGTJEoMGO3v2LNavX4+tW7di//79cHR0RGhoKH788Uds3rwZGzZswIEDB5CTk4Nvv/0WABAQEIBBgwYhKioKfn5+8Pf3hyAIz/dsiYiIiETMoMJs9+7dmDhxIj788EP8+++/uHjxIsaNG4fx48cjICAABw8eNGgwFxcXREdHw9raGjk5OUhNTYWNjQ327NmDjz76CDY2NpBKpZg1axZ69uyJ1NRUJCQkwMvLCwDg7u6OrKwsnD9//vmfMREREZFIWRjSKDU1FU2aNAEA/Pzzz5BKpejQoQMAoGbNmsjMzDR4wHLlyiEmJgZBQUGQy+WYMGECxo4dizt37sDHxwdpaWlo1qwZpkyZgn/++QcKhQJS6X/1o52dHVJSUuDs7KzVr5VVeVhYyAzO8bxkMsMOy7OxsTR6DmOPYSgxZQHElYdZdBNTFkBceZhFN2bRT0x5xJ5FLJ/hxTGoMFMqlbh8+TKaNWuG6OhouLi4oFq1agCAX3/9FbVq1SrVoB4eHvDw8MD27dvh4+MDmUyGo0ePIiwsDHK5HIGBgVi6dCnef/99SCQSrccKggCZrGgBlpmZU6oMz0utLjCoXUZGllFz2NhYGn0MQ4kpCyCuPMyim5iyAOLKwyy6MYt+Ysoj9ixi+QwHAFtba53LDSodBwwYgPnz58PT0xPnzp3DkCFDAAATJkzAmjVrNLdLcu3aNZw8eVJzu2/fvkhOTkb58uXRpUsXWFlZQS6Xo0ePHvjrr79gb2+P9PR0rWPK0tLSoFQqDRqPiIiI6GViUGH28ccfY+HChWjVqhW+/PJL9OrVCwBQuXJlLFy4EEOHDjVosPT0dEyePBl3794FAOzbtw9vv/02BgwYgB9++AHZ2dkQBAExMTFo2LAhlEolHBwcEBUVBQCIj4+HVCqFSqV6jqdKREREJG4G7coEAE9PT3h6emotmzt3bqkGa9asGUaPHo0RI0ZAJpNBoVBg1apVsLe3x/3799GnTx+o1Wo4OzsjMDAQABASEoLp06drdnOGhoZqHXNGRERE9KowuDD7559/cPz4cTx48AAFBdr7aCUSCcaNG2dQP0OGDNG563P8+PEYP358keWOjo4IDw83NCYRERHRS8ugwmzHjh2YOXMmCgoKUKlSpSJbrEpTmBERERGRbgYVZqtXr0aHDh0wf/58VKlSxdiZiIiIiF5LBh2slZaWhmHDhrEoIyIiIjIigwozFxcXXqOSiIiIyMj07so8d+6c5v+9e/fGwoULkZ2djUaNGqFixYpF2j97Jn4iIiIiKh29hVnfvn01Z90vPMHr4sWLdZ6JXyKR4MKFC0aMSURERPTq01uYbdq0yZQ5iIiIiF57eguzFi1aaP6/Z88euLu7o2rVqkXapaenY+/evVrtiYiIiKj0DDr4f+rUqbhx44bO+06fPo1ly5aVZSYiIiKi15LeLWYjR47EmTNnADw5jmzkyJFFji8DgOzsbB74T0RERFQG9BZm06dPx8GDByEIAlatWgUvLy8olUqtNlKpFJUrVy5yDU0iIiIiKj29hdlbb72luXalRCJB//79YWdnZ7JgRERERK8bgy7JVFig3b9/H48fPy5yEXMAsLe3N2jAzZs3Y8uWLZBIJKhTpw7mzp0LuVyOoKAgJCQkoKCgAL169cKoUaMAAImJiQgKCsK9e/dgaWmJ4OBg1KtXz9DnR0RERPTSMKgwS0hIwNSpU3H69Oki95XmPGZnz57F+vXrERkZCWtrawQHByM0NBRyuRx2dnZYvnw5srKy0L17dzRv3hyNGzdGQEAARo4cCW9vb8TFxcHf3x/79u3TebwbERER0cvMoMLsiy++QEpKCj7//HMolcrnLopcXFwQHR2NcuXKIScnB6mpqahduzYmTZoEtVoN4MnpN3Jzc2FtbY3U1FQkJCTAy8sLAODu7o5Zs2bh/Pnz/MEBERERvXIMKsz+/vtvLF68GJ07d37hAcuVK4eYmBgEBQVBLpdjwoQJkEgksLCwQEBAAKKjo9G5c2fUrVsXZ86cgUKhgFT631k97OzskJKSUqQws7IqDwsL2QvnK4lMZtAZRmBjY2n0HMYew1BiygKIKw+z6CamLIC48jCLbsyin5jyiD2LWD7Di2NQYVa9enXIZGVX9Hh4eMDDwwPbt2+Hj48PDh06BKlUisWLF2PWrFmYMGECVq1ahbZt2+q8BJSuLJmZOWWWrzhqddHj63TJyMgyag4bG0ujj2EoMWUBxJWHWXQTUxZAXHmYRTdm0U9MecSeRSyf4QBga2utc7lBpeMHH3yAlStX4s6dOy8U4tq1azh58qTmdt++fZGcnIyDBw8iNTUVAFCpUiV4eXnh/PnzsLe3R3p6uuZanQCQlpZW5LQdRERERK8Cg7aYnTx5Ejdu3ED79u1hb2+PChUqaN0vkUiwd+/eEvtJT0/H5MmTsWfPHlSrVg379u3D22+/jSNHjuDYsWOYNWsW8vLy8MMPP+Ddd9+FUqmEg4MDoqKi4OXlhfj4eEilUqhUqud7tkREREQiZlBhVqlSJXh4eLzwYM2aNcPo0aMxYsQIyGQyKBQKrFq1ClWqVMHMmTPh7e0N4MmuzhEjRgAAQkJCMH36dISFhUEulyM0NFTrmDMiIiKiV4VBhdmCBQvKbMAhQ4ZgyJAhRZYvXbpUZ3tHR0eEh4eX2fhi4troHaQkJ5XYTmlfG6f/Om+CRERERGROBhVmwJNrYu7cuRPHjx9HZmYmbGxs0LRpU/Tq1QuWluL4BcbLJiU5Cd1CYktsd3Dye0bPQkREROZn0D7BO3fuoE+fPpg3bx6uX78OiUSCK1euYO7cuejdu/cL/yiAiIiIiAzcYhYcHIzs7Gzs27dP63JIV65cwahRo7B48eIy3d1JRERE9DoyaItZXFwcJk6cWOQalfXq1YO/vz9iY2ONkY2IiIjotWLwzxsrV66sd/njx4/LLBARERHR68qgwqxhw4bYtGmT5nqWhfLz8/Htt9+iYcOGRglHRERE9Dox6BizgIAADBo0CJ07d0anTp1Qo0YN3L59Gz/99BNu376NjRs3GjsnERER0SvPoMKsfv362LJlC7766ivs378fDx48QJUqVdC0aVOMHj26yAXFiYiIiKj0DD6PWYMGDbBixQpjZiEiIiJ6rRlcmP3999/4+++/8eDBgyL3SSQSjBs3rkyDEREREb1uDCrM1qxZg6VLl0Iqleo8yz8LMyIiIqIXZ1BhtmnTJvTo0QNz5syBXC43diYiIiKi15JBp8vIyclBjx49yqQo27x5M7y8vNC9e3eMGTMGd+7cgVqtxrx589CtWzd07twZW7Zs0bRPTEzE0KFD4enpiX79+uHKlSsvnIGIiIhIjAwqzHr27In9+/e/8GBnz57F+vXrsXXrVuzfvx+Ojo4IDQ3F1q1bkZiYiP379+P777/Hxo0bcfr0aQD/naojKioKfn5+8Pf3hyAIL5yFiIiISGwM2pX5ySefoFevXujatSveeecdVKhQQet+iUSC+fPnl9iPi4sLoqOjUa5cOeTk5CA1NRW1a9dGTEwMBgwYAAsLC1SpUgVeXl7Yu3cv7OzskJCQAC8vLwCAu7s7Zs2ahfPnz/MUHURERPTKMagwW7RoEa5duwZbW1tcvXq1yP0SicTgAcuVK4eYmBgEBQVBLpdjwoQJ+PHHH1GzZk1NG6VSiUuXLuHWrVtQKBSQSv/bsGdnZ4eUlJQihZmVVXlYWMgMzvG8ZDLDrmJlY1P0RxJl2Z9MJjV4DGMTUxZAXHmYRTcxZQHElYdZdGMW/cSUR+xZyvoz3BgMKsz27t0LPz+/MvvlpYeHBzw8PLB9+3b4+PjAwsJCq7gTBAFSqRQFBQVFij5BECCTFS3AMjNzyiRbSdTqAoPaZWRkGbU/GxtLg8cwNjFlAcSVh1l0E1MWQFx5mEU3ZtFPTHnEnqWsP8NfhK2ttc7lBpWOcrkcTZo0eeEQ165dw8mTJzW3+/bti+TkZCgUCqSlpWmWp6WlQalUwt7eHunp6VrHlBXeR0RERPSqMagw69u3LzZt2oTc3NwXGiw9PR2TJ0/G3bt3AQD79u3D22+/jS5dumDnzp3Iz8/HgwcPcODAAXh4eECpVMLBwQFRUVEAgPj4eEilUqhUqhfKQURERCRGBu3KzM3NxfHjx9GuXTuoVCpUqlRJ636JRIKwsLAS+2nWrBlGjx6NESNGQCaTQaFQYNWqVahZsyauX7+Onj17Ii8vDwMHDkSLFi0AACEhIZg+fTrCwsIgl8sRGhqqdcwZERER0avCoMLswoULeOeddzS3Hz169NwDDhkyBEOGDCmyPCgoSGd7R0dHhIeHP/d4RERERC8LgwozFkZERERExsd9gkREREQiwcKMiIiISCRYmBERERGJhN7C7NatW6bMQURERPTa01uY9erVC3/88QcAYOrUqbhx44bJQhERERG9jvT+KjM3Nxd//fUX3nzzTezevRve3t6wttZ9+QAAsLGxMUY+IiIioteG3sKsU6dO+PLLL7F48WJIJBL4+PgU29GFCxfKPBwRERHR60RvYbZw4UJ4eXkhIyMDU6dOxZgxY+Dg4GDKbERERESvFb2FmYWFBTp06AAAOH78OPr06YM6deqYLBgRERHR68agM/8vWLAAABAbG4vjx48jMzMTVatWRZMmTdC+fXtIJBKjhiQiIiJ6HRhUmGVlZcHX1xcnTpxAlSpVUK1aNdy+fRurV69GkyZNsG7dOlhaWho7KxEREdErzaDCbMmSJfjnn3+wbt06tG3bVrM8Pj4eU6ZMwdKlS/VehPxZkZGR+OabbyCRSFCxYkUEBQVh7dq1uHbtmqZNUlISmjdvjq+//hqJiYkICgrCvXv3YGlpieDgYNSrV6+UT5OIiIhI/AwqzA4ePIjJkydrFWUA0K5dO0yaNAkrV640qDBLSEjAl19+iV27dkGhUCAuLg5+fn6IjY3VtDl9+jT8/f0xc+ZMAEBAQABGjhwJb29vxMXFwd/fH/v27ePuUyIiInrlGHRJpuzsbNjb2+u8z97eHvfv3zdoMLlcjrlz50KhUAAAXFxccPv2beTm5gJ4cu60wMBAfP7556hZsyZSU1ORkJAALy8vAIC7uzuysrJw/vx5g8YjIiIiepkYtMWsQYMG2LNnD9q1a1fkvl27duHtt982aLDatWujdu3aAABBELBgwQJ07NgRcrkcAPD9999DoVCgc+fOAJ5cFkqhUEAq/a9+tLOzQ0pKCpydnbX6trIqDwsLmUE5XoRMZtjlRW1sDDvm7nn7k8mkBo9hbGLKAogrD7PoJqYsgLjyMItuzKKfmPKIPUtZf4Ybg0GFmb+/P0aOHInk5GR07doVNWrUwO3bt3Hw4EGcPn0aq1atKtWgWVlZCAwMREpKCtatW6dZvnHjRsyePVtzu6CgoMguS0EQIJMVLcAyM3NKleF5qdUFBrXLyMgyan82NpYGj2FsYsoCiCsPs+gmpiyAuPIwi27Mop+Y8og9S1l/hr8IW1vdV1MyqDBr3rw5wsLCEBoaiuDgYAiCAIlEggYNGmDVqlWa850ZIjk5GaNHj0a9evWwadMmVKhQAQBw/vx55Ofno0WLFpq29vb2SE9P14wHAGlpaVAqlQaPR0RERPSyMKgwA54c31V4jNfDhw9hbW1d6lNkZGZmYvjw4ejduzfGjx+vdd/x48fRqlUrrS1kSqUSDg4OiIqKgpeXF+Lj4yGVSqFSqUo1LhEREdHLwODCrJClpeVzn7MsIiICycnJOHToEA4dOqRZ/u233+LatWuoVatWkceEhIRg+vTpCAsLg1wuR2hoqNYxZ0RERESvilIXZi/C19cXvr6+Ou8rPD3GsxwdHREeHm7MWERERESiwE1PRERERCLBwoyIiIhIJAwqzIYMGYK4uDhjZyEiIiJ6rRlUmP37778oX768sbMQERERvdYMKsz69OmDFStW4Pz588jOzjZ2JiIiIqLXkkG/yjx58iQuXbqEvn37AgAqVqyodb9EIsEff/xR9umIiIiIXiMGFWYdOnQo1dn9iYiIiKj0DCrMnj1LPxERERGVPYNPMPvw4UOEh4fjt99+w+3bt7F8+XL8/PPPaNCgAdq1a2fMjERERESvBYMO/k9KSoK3tze+/fZbWFlZITExEbm5ubh06RJGjx7NU2kQERERlQGDtpjNmzcPtra2+Pbbb1G+fHm4uLgAAJYsWYL8/Hx89dVXcHd3N2pQIiIioledQVvMjh07Bl9fX1SqVAkSiUTrvkGDBuGff/4xeMDIyEj06NEDPXv2xKBBg3DmzBmt+8ePH4/Zs2drbicmJmLo0KHw9PREv379cOXKFYPHIiIiInqZGFSYyeVy5OTk6LwvIyMDcrncoMESEhLw5ZdfYt26dYiMjMSYMWPg5+enuX/t2rU4efKk1mMCAgIwaNAgREVFwc/PD/7+/hAEwaDxiIiIiF4mBhVm7u7uWLZsGRITEzXLJBIJMjIysGbNGrRt29agweRyOebOnQuFQgEAcHFxwe3bt5Gbm4vff/8d8fHxGDRokKZ9amoqEhIS4OXlpcmRlZWF8+fPG/r8iIiIiF4aBhVmgYGBkMvl6N69O3r06AEACAoKQufOnfHw4UN8+umnBg1Wu3ZtvPfeewAAQRCwYMECdOzYEffu3cO8efOwePFiyGQyTftbt25BoVBAKv0vpp2dHVJSUgx9fkREREQvDYMO/q9WrRp27dqF3bt34/jx47Czs4OVlRV69eqFvn37wsrKqlSDZmVlITAwECkpKfj6668xYcIETJ06VbMlrVBBQUGRY9oEQdAq3gpZWZWHhUXR5WVNJjOoloWNjaVR+5PJpAaPYWxiygKIKw+z6CamLIC48jCLbsyin5jyiD1LWX+GG4PB5zErX748Bg0apLWr8XkkJydj9OjRqFevHjZt2oQLFy7gxo0bWLhwIQDg9u3bUKvVyMnJgZ+fH9LT0yEIgqZAS0tLg1KpLNJvZqbuY+DKmlpdYFC7jIwso/ZnY2Np8BjGJqYsgLjyMItuYsoCiCsPs+jGLPqJKY/Ys5T1Z/iLsLW11rnc4MIsISEB69evx+nTp5GWlgYbGxu0bNkSH3/8MerUqWNQH5mZmRg+fDh69+6tuZpA48aNtc6DtmLFCty7dw8zZswAADg4OCAqKgpeXl6Ij4+HVCqFSqUyNDYRERHRS8OgwuzXX3/FqFGjUKNGDbRt2xbVqlXD7du38dNPP+HAgQMIDw9HgwYNSuwnIiICycnJOHToEA4dOqRZ/u2336Jq1ao6HxMSEoLp06cjLCwMcrkcoaGhWsecEREREb0qDCrMFi9ejLZt22LFihUoV66cZnl2djZ8fX0xd+5cRERElNiPr68vfH19i23z9OkzAMDR0RHh4eGGxCQiIiJ6qRm06eny5csYOnSoVlEGABUqVICPjw/Onj1rlHBERERErxODCrO33npL77nDbt68CQcHhzINRURERPQ60rsr89y5c5r/Dxw4EAsWLEBubi46d+6MGjVq4P79+4iPj8eaNWswa9Ysk4QlIiIiepXpLcz69u2rdQ4xQRCwatUqfPXVV1rLAGDChAm4cOGCEWMSERERvfr0FmabNm0yZQ4iIiKi157ewqxFixamzEFERET02jPodBk5OTnYuHEjTp8+jQcPHhS5XyKRYOPGjWUejoiIiOh1YlBhNm3aNOzfvx9NmjSBjY2NkSMRERERvZ4MKsx+/vlnTJ48Gf/73/+MnYeIiIjotWXQecysra15fUoiIiIiIzOoMPP19cVXX32FlJQUY+chIiIiem0ZtCuzU6dO2LBhAzp06IBq1aqhQoUKWvdLJBLExMQYJSARERHR68KgwuzTTz9FWloaPD09Ub169RcaMDIyEt988w0kEgkqVqyIoKAgNGzYEABw69YtDBgwAJGRkahWrRoAIDExEUFBQbh37x4sLS0RHByMevXqvVAGIiIiIjEyqDD7888/MW/ePHTv3v2FBktISMCXX36JXbt2QaFQIC4uDn5+foiNjcWePXuwfPlypKWlaT0mICAAI0eOhLe3N+Li4uDv7499+/ZpXZWAiIiI6FVg0DFmdnZ2qFix4gsPJpfLMXfuXCgUCgCAi4sLbt++jeTkZMTExOCbb77Rap+amoqEhAR4eXkBANzd3ZGVlaX3gupERERELzODtpiNHTsWy5Ytg0KhgIuLy3NvrapduzZq164N4Ml1NhcsWICOHTvC3t4eK1euLNL+1q1bUCgUkEr/qx/t7OyQkpICZ2fn58pAREREJFYGFWbh4eG4efMmBgwYAIlEovPg/z/++MPgQbOyshAYGIiUlBSsW7dOb7uCgoIiRaAgCJDJZEXaWlmVh4VF0eVlTSYzaCMjbGwsjdqfTCY1eAxjE1MWQFx5mEU3MWUBxJWHWXRjFv3ElEfsWcr6M9wYDCrMOnTogA4dOpTJgMnJyRg9ejTq1auHTZs2FSnynmZvb4/09HQIgqAp0NLS0qBUKou0zczMKZN8JVGrCwxql5GRZdT+bGwsdY7h2ugdpCQnldif0r42Tv9VNruE9WUxFzHlYRbdxJQFEFceZtGNWfQTUx6xZynrz/AXYWtrrXO5QYXZ+PHjyyREZmYmhg8fjt69exvUp1KphIODA6KiouDl5YX4+HhIpVKe7LYYKclJ6BYSW2K7g5PfM3oWIiIiKh2DCrM9e/aU2KZXr14ltomIiEBycjIOHTqEQ4cOaZZ/++23qFq1qs7HhISEYPr06QgLC4NcLkdoaKjWMWdERERErwqDCrPAwECdyyUSCeRyOSwtLQ0qzHx9feHr61tsm0uXLmnddnR0RHh4uCExiYiIiF5qBhVmJ06cKLIsKysLJ06cQEhICL788ssyD0ZERET0ujGoMLO2LnqAmrW1Nbp3747Hjx9j3rx52LVrV5mHIyIiInqdvPDBWrVq1cLly5fLIgsRERHRa82gLWYZGRlFlhUUFCAtLQ1hYWFwcHAo61wkEuY4/QYREdHryqDCrFWrVnrP9l/4S0l6NRly+g2ZTIoD/u1NE4iIiOgVZlBhNn/+/CKFmUQigZWVFVq2bKnzGDQiIiIiKh2DCrM+ffoYO8erRWoBhaKyuVMQERHRS0ZvYabrFBnFad68+QuHeWUU5PPs+0RERFRqeguz4cOHQyKRQBAEvQ9+evfmhQsXyjYZERER0WtGb2FW0mWY/vzzT4SEhCAzMxN9+/Yt61xERERErx29hVn9+vV1Ln/06BFCQkKwZcsW1KlTB6tWrULLli2NFpCIiIjodWHQwf+Ffv75Z8yePRvp6en43//+h3HjxkEulxsrGxEREdFrxaDC7M6dO5gzZw6io6Ph6uqK1atXQ6VSPdeAgiAgMDAQKpUKPj4+UKvVmD17tubHBu7u7vj0008hkUiQmJiIoKAg3Lt3D5aWlggODka9evWea1wiIiIisSvxkkzff/89PD098csvv+Dzzz/H1q1bn7sou3LlCkaOHIno6GjNssjISFy9ehX79u1DZGQkjh8/joMHDwIAAgICMGjQIERFRcHPzw/+/v7F/hiBiIiI6GWmtzC7fv06Ro4cienTp6NJkyb44YcfNL/UfF4RERHo378/unXrplmmVqvx+PFj5ObmIjc3F3l5eShfvjxSU1ORkJAALy8vAE+2pGVlZeH8eV72h4iIiF5Nendlent7Izc3F9bW1hAEATNnztTbiUQiQVhYWImDzZgxAwBw9OhRzbI+ffrg4MGDaN++PfLz89G2bVt07NgRf/31FxQKBaTS/2pHOzs7pKSkwNnZ2aAnR0RERPQy0VuYubq6av7/6NEjowVYuXIlqlWrhqNHjyInJwdjx47F+vXr0ahRoyJb5wRBgEwm09mPlVV5WFjovq8syWQl7v01SjsbG8sij3t22Yv2qU+J/UlK15+xFTc3psYsuokpCyCuPMyiG7PoJ6Y8Ys9S1p+PxqC3MAsPDzdJgEOHDmHatGmQy+WQy+Xo3bs3oqOj4enpifT0dAiCoCnQ0tLSoFQqdfaTmZljkrxqdYFZ2mVkZGndtrGxLLLsRfvUp6T+Cld0Q/sztuLmxtSYRTcxZQHElYdZdGMW/cSUR+xZyvrz8UXY2uq+zrhhpaMRvfPOO/jhhx8AAHl5eTh8+DDc3NygVCrh4OCAqKgoAEB8fDykUulz//CAiIiISOzMXphNnToVDx8+RLdu3dCrVy8olUp8/PHHAICQkBBs3boV3bt3x9KlSxEaGqp1zBkRERHRq6RUJ5gtKwsXLtT8v2rVqggJCdHZztHR0WS7VImIiIjMjZufiIiIiESChRkRERGRSLAwIyIiIhIJFmZEREREIsHCjIiIiEgkzPKrTCIiIqLiuDZ6BynJSSW2U9rXxum/Xp3raLMwIyIiItFJSU5Ct5DYEtsdnPye0bOYEndlEhEREYkECzMiIiIikWBhRkRERCQSLMyIiIiIRIKFGREREZFImPxXmYIgIDAwECqVCj4+PgCAli1bQqlUatr4+PigR48eSExMRFBQEO7duwdLS0sEBwejXr16po5MREREZBImLcyuXLmCWbNm4fTp01CpVACAhIQE2NjYIDIyskj7gIAAjBw5Et7e3oiLi4O/vz/27dsHiURiythEREREJmHSXZkRERHo378/unXrpll26tQpSKVSDBkyBN7e3li5ciXUajVSU1ORkJAALy8vAIC7uzuysrJw/vyrcxI5IiIioqeZdIvZjBkzAABHjx7VLFOr1WjTpg0++eQT5OfnY9SoUbCyskKjRo2gUCgglf5XO9rZ2SElJQXOzs6mjE1ERERkEmY/8/+AAQO0bn/44YcIDw+Hq6trkV2WgiBAJpPp7MfKqjwsLHTfV5ZkMsM2MpZ1OxsbyyKPe3bZi/apT4n9SUrXnyHeqFsXt27eKLFdzVp1cO3qVa1lxc2NqTGLbmLKAogrD7Poxiz6iSlPWWd5kc8zXVnK+vPRGMxemO3Zswf169dH/fr1ATwpviwsLGBvb4/09HQIgqAp0NLS0rR+JPC0zMwck+RVqwvM0i4jI0vrto2NZZFlL9qnPiX1V7iiG9qfIW7dvGHwpThKMzemxiy6iSkLIK48zKIbs+gnpjxlneVFPs90ZSnrz8cXYWtrrXO52U+X8e+//2L58uVQq9XIzs5GREQEPD09oVQq4eDggKioKABAfHw8pFKp5kcDRERERK8asxdm48ePR5UqVeDt7Y0ePXqgcePG6N+/PwAgJCQEW7duRffu3bF06VKEhoZqHXNGRERE9Coxy67MhQsXav5fsWJFLFiwQGc7R0dHhIeHmyoWERERkVmZ/RgzIlNxbfQOUpKTSmyntK+N03/xtCxERGR6LMzotZGSnGTwDwrMgYUjERGxMCMSCbEXjkRE+hj6xRLgl8uSsDAjIiKiF1L4xVImk5Z4Sgp+uSwef+JIREREJBIszIiIiIhEgoUZERERkUjwGDMi4i9CiYhEgoUZEfEXoUREIsFdmUREREQiwS1mRERErxkeviBeLMyInhPf2IjoZcXDF8TL5IWZIAgIDAyESqWCj48PsrOzMWvWLJw5cwaCIMDV1RUzZ85EhQoVkJiYiKCgINy7dw+WlpYIDg5GvXr1TB2ZSCdD3thkMikO+Lc3TSAiInrpmfQYsytXrmDkyJGIjo7WLAsLC4NarcbevXuxd+9e5OTkYPXq1QCAgIAADBo0CFFRUfDz84O/vz8EQTBlZCIiIiKTMekWs4iICPTv3x/29vaaZc2bN0etWrUglT6pERs0aIDLly8jNTUVCQkJ8PLyAgC4u7tj1qxZOH/+PJydnU0Zm4hKibt56VXE60GSKZi0MJsxYwYA4OjRo5plbdu21fz/5s2b2LhxI+bMmYNbt25BoVBoCjYAsLOzQ0pKCgszIpEraTdv4fX0DD1+hYUeiQGvB0mmIJqD/8+ePYvx48dj2LBh6NChA/78809IJBKtNoIgQCaT6Xy8lVV5WFjovq8syWSG7f0t63Y2NpZFHvfsshftU58S+5OUrj9DvY5zU9b5nu27uMeZdG4k/91vSH8pyUnwCv2lxHYH/NsbZW5MqbRZ3qhbF7du3iixXc1adXDt6lWjZjGm58lijLmRyaRa629xTDV3z/t3Msprvozn5kUy6poXY77HlhVRFGYHDhzArFmzMH36dHh7ewMA7O3tkZ6eDkEQNAVaWloalEqlzj4yM3NMkrWkb0nGapeRkaV128bGssiyF+1Tn5L6K1zRDe3PUK/j3JR1vqcVNy/GGLu4/p7e4vAyzI0plTbLrZs3DP51XWmf48s8L4Bx5katLjBoixlQ9u+J+jzv38kYr/mynpsXyahrXoz5PlJatrbWOpeb/QSzhw8fxty5c/HNN99oijIAUCqVcHBwQFRUFAAgPj4eUqkUKpXKXFGJiIiIjMrsW8yCg4MhCAKmTZumWdakSRPMnDkTISEhmD59OsLCwiCXyxEaGqp1zBkRERHRq8QshdnChQs1/3/61BnPcnR0RHh4uCkiEREREZmd2beYERERAa/nr29fx+dMxWNh9jKQWkChqGzuFERERlXcaVaePqj8VToVBS+NRM9iYfYyKMgv8sLV98sXg1+8LPaIiIhEh4XZ60pHsacLv6URvV54dnsi82JhRkREGk/vWivpnFT84kZU9njuCSIiIiKRYGFGREREJBIszIiIiIhEgoUZERERkUjw4H8iomLwBKBEZEoszIiIilHWJwBloUdExWFhRiZVmnMkEb2KSir0Ck9RwVNREL2eRFOYhYeHY/PmzahQoQLq1auHGTNmwNraGgsXLkR8fDzUajU++ugjDB482NxR6QXw8iNERET6iaIwO3bsGNauXYvt27dDqVRiz549mDFjBlq2bInExETs378fjx49wsCBA+Hs7AxXV1dzRyYiIiIqc6L4Vea5c+fQpk0bKJVKAECXLl1w+PBhHDx4EH369IGFhQWqVKkCLy8v7N2718xpiYiIiIxDFIWZm5sbjh07hps3bwIAdu3ahby8PKSlpaFmzZqadkqlEikpKeaKSURERGRUotiV2axZM4wbNw7jx4+HRCJB3759YWNjA0EQIJFINO0EQYBUqruWtLIqDwsLmdGzymSG1bJGbyfR/1iTZ/z/P5GNjaVpx4XucWUyqd4sz9unPuaaG0P7e7bv4h5n0rl5av3l3DxDBHOj6a+Y95nS9mkoveM9k8Wsc2PAvJS6TwMU9772vOv9i4yrsz9zzI3UAgpF5bLrD2W/XpeGKAqzzMxMtGjRAv379wcApKamYvny5ahZsybS0tI07dLS0jS7O4v2kWOSrMVd0NeU7Yq7uLCpMxau6BkZWSYdt9Cz49rYWOrN8rx96mOuuTG0v6cVNy/GGLu4/p5efzk32sQwN4X9lXQR89L0aSh94z2bxZxzY8i8lLZPQ+jrr6T111jj6urPLHNTkK/zR2XPZjk4+T2jvo+Ulq2ttc7lotiVmZaWhuHDhyMzMxMAEBYWBi8vL3h4eGDnzp3Iz8/HgwcPcODAAXh4eJg5LREREZFxiGKL2ZtvvolRo0ahf//+KCgoQNOmTTFjxgxYWFjg+vXr6NmzJ/Ly8jBw4EC0aNHC3HFJl1JsSiYiIiLdRFGYAcCwYcMwbNiwIsuDgoLMkIZKTc+m5GeV+fnJjFEQssgkIiIzEU1hRvRcdBSE+o5xMLgoNFeRSURErz0WZkRERGQ63CtRLBZmRC8bA9/UeBFsIhIl7pUoFgszopcN39SIiF5ZojhdBhERERGxMCMiIiISDe7KJKLXjmujd5CSnGTuGERERbAwI6LXTkpyktZxesVdRobH6hGRKbEwIyIiIt14aguTY2FG9KriGyoRvSj+CtzkWJgRvaqeeUPl7joiIvHjrzKJiIiIREI0W8wuXbqEuXPn4uHDh5BKpZg9ezYaNGiAhQsXIj4+Hmq1Gh999BEGDx5s7qhERESmxSt+vDZEUZg9fvwYPj4+mDdvHtzd3RETE4OAgAAMHz4ciYmJ2L9/Px49eoSBAwfC2dkZrq6u5o5MRETm8joeP1nMsV5PH6bAwxJefqIozI4ePYo6derA3d0dANCpUyfUrl0bwcHBGDBgACwsLFClShV4eXlh7969LMyIiMTAXFtxeEA6vcJEUZhdvXoVtra2+Pzzz3Hx4kVUrlwZU6ZMwa1bt1CzZk1NO6VSiUuXLunsw8qqPCwsZEbPKpMZdlie0dtJ9D/W5BklZhpXXzsRzo2NjaVpx9XVrph5KU2fZfJcnspS1nPzXP1xbnT3V8K8oCAfXqG/lNjfAf/2L/5cnslS1q+VUuUraV6ep88Xafd0nlJsTTTK+42Bc2OS92IdWcp6fTAGURRm+fn5iIuLw6ZNm+Dm5oaYmBiMGjUK5cuXh0Qi0bQTBAFSqe5JzczMMUlWfb9qM3W74n5hZ+qMhSs656aowrnJyMgy6bi62hU3L6Xpsyyey9NZynpunqc/Uc6N1AJyuWFv0cbKV9K8GHPsZz2bpaxfK6XJZ8i8GOPvZ9DclGJrojHebwyam1L2+bztdGUp6/XhRdjaWutcLorCTKFQoF69enBzcwMAeHh4YNq0aahTpw7S0tI07dLS0qBUKs0Vk4jIdLi77uXGvx89J1GcLqN9+/ZISkrC2bNnAQAnTpyARCKBh4cHdu7cifz8fDx48AAHDhyAh4eHmdMSUZn5/90uJf0jInpdiGKLma2tLVatWoVZs2bh8ePHkMvlWLFiBRo1aoTr16+jZ8+eyMvLw8CBA9GiRQtzxyWislLWWxVex1/r0YvjekMiIorCDACaN2+OHTt2FFkeFBRkhjREZYhv+qbD3UfiJPbXANcbEhHRFGZEryy+6dPrjq8BIoOJ4hgzIiIiIuIWMyIqDbHvkjInzg0RlQEWZkRkOO6S0o9zQ0RlgIUZEdHrgFv0iF4KLMyIiF4H3KJH9FLgwf9EREREIsHCjIiIiEgkWJgRERERiQQLMyIiIiKRYGFGREREJBIszIiIiIhEQjSny9i8eTO2bNkCiUSCOnXqYO7cubCxscHChQsRHx8PtVqNjz76CIMHDzZ3VCIiIiKjEEVhdvbsWaxfvx6RkZGwtrZGcHAwQkND4eTkhMTEROzfvx+PHj3CwIED4ezsDFdXV3NHJiIiIipzotiV6eLigujoaFhbWyMnJwepqamwsbFBTEwM+vTpAwsLC1SpUgVeXl7Yu3evueMSERERGYUotpgBQLly5RATE4OgoCDI5XJMmDABP/74I2rWrKlpo1QqcenSJZ2Pt7IqDwsLmdFzymSG1bJGbyfR/1iTZ5SYaVx97Tg3utsVMy9GH/tZT2Xh3DxDTHNTwrwYdexnPZPFrHNjwLwYbWxdODe62+nIYmh/NjaWBrUzBtEUZgDg4eEBDw8PbN++HT4+PrCwsIBEItHcLwgCpFLdk5qZmWOSjGp1gSjayWRSvY81dcbCFZ1zU5SY5qa4eTH22M96OgvnRpuY5qakeTHm2M96Nos558aQeTHW2LpwbnS305XF0P4yMrIMavcibG2tdS4Xxa7Ma9eu4eTJk5rbffv2RXJyMhQKBdLS0jTL09LSoFQqzRGRiIiIyOhEUZilp6dj8uTJuHv3LgBg3759ePvtt9GlSxfs3LkT+fn5ePDgAQ4cOAAPDw8zpyUiIiIyDlHsymzWrBlGjx6NESNGQCaTQaFQYNWqVahZsyauX7+Onj17Ii8vDwMHDkSLFi3MHZeIiIjIKERRmAHAkCFDMGTIkCLLg4KCzJCGiIiIyPREsSuTiIiIiFiYEREREYkGCzMiIiIikWBhRkRERCQSLMyIiIiIRIKFGREREZFIsDAjIiIiEgkWZkREREQiwcKMiIiISCRYmBERERGJBAszIiIiIpFgYUZEREQkEi9FYRYbGwtvb2907doVEyZMQGZmprkjEREREZU50Rdmd+/exdSpU7FixQpER0ejTp06WLx4sbljEREREZU50RdmR44cQcOGDeHo6AgAGDx4MPbt2wdBEMwbjIiIiKiMSQSRVzhr1qxBUlISZs+eDQDIz8+Hs7Mz/vjjD1hZWZk5HREREVHZEf0Ws4KCAkgkkiLLpVLRRyciIiIqFdFXNzVr1kRaWprmdmpqKqpUqQJLS0szpiIiIiIqe6IvzNq2bYu///4biYmJAICtW7eiU6dO5g1FREREZASiP8YMAOLi4rBkyRLk5eXBwcEBwcHBsLGxMdn4sbGxWLJkCXJzc+Hk5IT58+eb7fi2hQsX4uDBg6hSpQoAoG7duli2bJlJMwiCgMDAQKhUKvj4+ECtVmPhwoWIj4+HWq3GRx99hMGDB5slCwC0bNkSSqVS08bHxwc9evQwepbIyEh88803kEgkqFixIoKCgvDOO++YZW50ZWnYsKFZ5mbz5s3YsmULJBIJ6tSpg7lz58LGxsYs86IrS/Xq1c22zgBATEwMpkyZglOnTpn1tfRsFsB8ryVd73NLliwxy9zoe88119xcunQJc+fOxcOHDyGVSjF79mw0aNDALHOjK4uLi4vJ52bPnj3YsGGD5vbDhw+RmpqKuLg4rF692myvp+cmULHu3LkjtGrVSrh69aogCIKwaNEiYebMmWbLM2DAAOGPP/4w2/iXL18Whg8fLri5uQnr1q0TBEEQNm/eLHz88cdCXl6ekJGRIXTt2lX4+++/zZLlypUrQpcuXYw+9rOuXLkivPvuu0JqaqogCIIQGxsruLu7m2Vu9GUxx9ycOXNG6NChg/DgwQNBEARh4cKFwvTp080yL/qymGudEQRBuHr1quDh4SE0atRIEATzvZZ0ZTHnvOh6nzPX3OjKYq65ycrKEt59910hNjZWEARBOHTokNC1a1ezzI2+LOZcbwRBEHJzc4UBAwYIW7ZsMevr6UWIflemuYnpdB25ubk4f/481q1bB29vb/j5+SE5OdmkGSIiItC/f39069ZNsywmJgZ9+vSBhYUFqlSpAi8vL+zdu9csWU6dOgWpVIohQ4bA29sbK1euhFqtNnoWuVyOuXPnQqFQAABcXFxw+/ZtHDx40ORzoy/L8ePHTT43Li4uiI6OhrW1NXJycpCamgobGxuzrDP6sphrnXn8+DGmTJmCwMBAzTJzvZZ0ZTHXvOh7nzPH3OjLYq65OXr0KOrUqQN3d3cAQKdOnbBs2TKzzI2+LOaam0Jr165FtWrVMGjQILO9nl4UC7MSpKSkaG2SVSqVyMzMxKNHj0yeJTU1Fa1atcLEiROxd+9euLm5YezYsSYtEmfMmAFvb2+tZbdu3ULNmjU1t5VKJVJSUsySRa1Wo02bNli3bh0iIiJw5MgRhIeHGz1L7dq18d577wF4snt1wYIF6NixI9LT000+N/qySKVSs8xNuXLlEBMTg/bt2+PEiRPo06eP2dYZXVnMtc7MmDEDAwcOhJOTk2aZOV9Lz2Yx17zoe59LTk42+dzoy2Kuubl69SpsbW3x+eefo0+fPvjwww+hVqvNst7oy2KuuQGenJB+w4YN+PzzzwGY7/X0oizMHUDsxHS6jjp16mDt2rWa2z4+Pvjqq6+QlJSEOnXqmDxPIUEQtOZIEASznc5kwIABWrc//PBDhIeH44MPPjDJ+FlZWQgMDERKSgrWrVuH/v37m21uns1SuXJlrftNOTceHh7w8PDA9u3b4ePjAwsLC7PNy7NZDh06pDW2KeYlIiICFhYW6NevH5KSkjTLzfFa0pfFXK8lfe9zOTk5Jp8bfVlat26tNT+mmpv8/HzExcVh06ZNcHNzQ0xMDEaNGoXy5cubfG70Zfn5558hl8s17Uz5PrN9+3Z06tRJ83kops+m0hB/QjMT0+k6Ll68iD179mgtEwQB5cqVM3mWpz07R2lpaVpbGU1pz549uHjxoua2IAiwsDDN94/k5GQMGjQIMpkMmzZtQuXKlc02N7qymGNurl27hpMnT2pu9+3bF8nJyVAoFCafF31ZIiMjTT4vu3fvxpkzZ9CzZ0+MGjUK2dnZ6NmzJ+zs7Ew+L/qy7N692yyvJX3vc82bNzf53OjL8scff5hlbhQKBerVqwc3NzcAT75kqNVq1KlTx+Rzoy/L2rVrzfYeHBUVhT59+mhui+mzqTRYmJVATKfrkEqlmDdvHm7cuAEA+O677+Dk5GT2Fa1Tp07YuXMn8vPz8eDBAxw4cAAeHh5myfLvv/9i+fLlUKvVyM7ORkREBDw9PY0+bmZmJoYPH44uXbpg6dKlqFChAgDzzI2+LOaYm/T0dEyePBl3794FAOzbtw9vv/02unTpYvJ50Zfl8uXLJp+X77//Hvv370dkZCTWrFmDChUqIDIyEp07dzb5vOjLYo55AfS/z5njtaQvi7neZ9q3b4+kpCScPXsWAHDixAlIJBJ4eHiYfG70ZcnKyjLL3Ny/fx/Xr19H48aNNcvE9NlUGtyVWYLq1atjwYIFmDBhgtbpOsxBpVJh2rRpGDNmDNRqNZRKJUJCQsyS5WmDBw/G9evX0bNnT+Tl5WHgwIFo0aKFWbKMHz8es2fPhre3N/Lz89GtWzf079/f6ONGREQgOTkZhw4dwqFDhzTLv/nmG5PPjb4sa9aswbJly0w6N82aNcPo0aMxYsQIyGQyKBQKrFq1CjVr1jT5vOjLUqNGDbOsM7rwtaT/fU6hUJh8bvRlqVq1qlnmxtbWFqtWrcKsWbPw+PFjyOVyrFixAo0aNTL53OjL4uzsbJa5uXbtGmxtbbX2IInp9VQaL8V5zIiIiIheB9yVSURERCQSLMyIiIiIRIKFGREREZFIsDAjIiIiEgkWZkRErwn+1otI/FiYEZFBhg8fDldXV805/Z524cIFODk54ffffzdqht9//x1OTk44c+aMUccpjby8PAQEBKBRo0Zo3rw5bt68Weo+hg8fDl9fXwBAUlISnJyccPDgwTLNefLkSUyYMKFM+ySissfCjIgMlpOTg+nTp3PLy1Pi4+Oxb98+jB07Fl999ZXWtfmeh0KhwLZt29CqVasySvjE999/j6tXr5Zpn0RU9liYEZHBrK2tcfz4cXz//ffmjiIa9+/fBwD069cPzZs3f+Fr8cnlcjRq1Ag2NjZlkI6IXjYszIjIYE2bNkWHDh2waNEipKen6223a9cuODk5aS5/BAAPHjyAk5MTdu3aBQBYsWIF+vTpgz179qBz585wdXXFBx98gLS0NGzduhXvvfcemjZtioCAADx+/Fir/3PnzqFPnz5o2LAh+vTpg6NHj2rdf+fOHXz66ado0aIFGjdujNGjR2suq/P02PPnz0ezZs0waNAgvc/lxIkTGDp0KJo0aYI2bdpg9uzZePToEQAgMDAQgYGBAIDWrVtr/q/Ljz/+iD59+sDNzQ0dO3bE119/rXPLo65dmWfPnsXIkSPh5uaGVq1aYc6cOVpzMnz4cCxYsABLly7Fu+++Czc3N4wdOxapqamanLt378a///6rtct53bp16Ny5Mxo2bAgPDw+sWrUKBQUFep8DERkfCzMiKpWZM2ciPz8fc+bMeeG+rl69irVr1+LTTz/F3Llz8ffff2P48OHYuXMnZs6cCV9fX+zfvx+bNm3Setz8+fPh4eGBlStXokaNGvD19cWVK1cAANnZ2RgxYgT++OMPTJs2DYsWLcLt27cxbNgwzdYtALh06RLOnDmDFStWYPTo0TrzxcXFYcSIEbC1tcXSpUvh5+eHAwcOwNfXFwUFBRg7dizGjBkD4EmRM3bsWJ39REdHw8/PD05OTli5ciVGjBiBlStXYu3atSXO0eXLlzFs2DBIJBIsW7YMAQEBiIqKwsSJE7Xa7dy5E3///Tfmz5+PL774Ar///jsWLFgAABg7dizc3d1Rp04dbNu2Dc7OzoiKikJoaCg++OADfPPNN+jfvz9WrFiB7du3l5iJiIyH18okolKpWbMmJk2ahHnz5uGnn35Cp06dnruvrKwszJ8/H25ubgCA2NhYHDhwAIcPH0atWrXQoUMHxMbG4u+//9Z63EcffaQpglq3bo3OnTvjm2++wfz587Fnzx5cvXoV+/btQ7169TRtOnTogPDwcIwfPx4AkJ+fj88//xwNGzbUmy80NBSurq5YtmyZZlnt2rXx8ccfIzY2Fh07doSDgwMAwNnZGdWqVdPZT1hYGFq1aqUplNq1a4f09HT8+eefJc7RV199herVq2PNmjWQy+UAAEdHRwwdOhQnTpxA8+bNAQAymQyrV69G+fLlAQAXL17UFFkODg6oVq0akpOT0ahRIwBPtgTWqlULQ4YMgUQiQYsWLWBhYQGFQlFiJiIyHm4xI6JSGzZsGNzc3DB79mxkZmY+dz8SiQQuLi6a29WrV0e1atVQq1YtzTIbGxs8fPhQ63Fdu3bV/F8ul6Nt27aaX2r+/vvveOONN/DGG28gPz8f+fn5qFChApo2bYpjx45p9VNYuOny6NEjnD9/Ht26ddNa3q5dO1SpUgUnTpww6DlmZ2fjwoUL6NChg9byKVOm4Ouvvy7x8b///jveffddSKVSzfNp1KgRrKys8Ntvv2naOTk5aYoyAFAqlUV2AT+tcePGuHr1Kvr27Ys1a9bgn3/+gY+PDzp27GjQ8yIi4+AWMyIqNalUijlz5qBPnz5YsmQJBgwY8Fz9VKxYETKZrMiyklSvXl3rdrVq1ZCWlgYAyMjIQEJCApydnYs8ztHRUfN/S0tLWFpa6h3j4cOHEAShyFiF4xlakBbuPtXVjyEyMjKwbds2bNu2rch9Tx/n9+y8SSSSYn8926NHD6jVakRERCAkJARLlixB/fr1ERISUmzBSkTGxcKMiJ6Lk5MTfHx8sGbNGrz11lta90kkEgDaJzTNysoqs7EfPHigtcvt9u3bml8xWltbo379+pg7d26RxxXuCjSEtbU1JBIJ7ty5U+S+p8crSaVKlQBA64cQAJCSkoJr166hWbNmxT7eysoKnTp1wuDBg4vcV7VqVYMy6NO7d2/07t0bd+7cweHDh7Fq1SqMHz8eP/zwwwv1S0TPj7syiei5jRs3Dm+88QZCQkK0lltZWQGAZisW8OQEp2UlPj5e8//s7Gz88ssvaNGiBQCgSZMmSEpKQq1atdCwYUM0bNgQLi4u+PbbbxEbG2vwGJUqVUKDBg2KnOg1Pj4eDx8+RJMmTQzqx8rKCiqVqsjY4eHhCAgIKPH0Gk2bNkVCQgJcXFw0z6dmzZpYsmQJ/v33X4Ofz7PjBAUFaU44W716dfTv3x/9+vXDrVu3DO6TiMoeCzMiem7ly5fHrFmziuzWa9myJcqXL4958+bh6NGj2LFjB0JCQkq1xao4q1evxnfffYe4uDj4+vri8ePH+N///gfgyfnEbGxs8NFHHyEqKgq//vorJk6ciKioKNSvX79U4/j5+eHvv//GxIkT8csvv2Dbtm0ICAhA48aN0b59e4P7GTduHH799VdMnz4dR48exYYNG7Bp0yaMGjVKs3VRn7Fjx+Ls2bPw9/dHXFwcDh06hP/973+4ePEi3nnnHYMzVK5cGSkpKTh69Cju37+P5s2bIzo6GiEhITh27Bj27NmDLVu2oHPnzgb3SURlj4UZEb2QVq1aoW/fvlrLKleujGXLluHu3bvw9fXFd999h0WLFhV7TFdpzJo1C9999x3Gjx+PnJwcbNq0SfPrSCsrK0RERODNN9/EF198gbFjxyI5ORlfffUV3N3dSzVOx44dsWrVKly/fh1jx47FihUr0L17d6xbt67IsXHF6datG5YtW4a//voLvr6+2LJlCz777DMMHz68xMe6uLhg48aNuHfvHiZMmICgoCDY2dkhPDwcdnZ2BmcYOHAgqlevDl9fXxw9ehS9evXC9OnTcejQIYwaNQpffvklunbtii+++MLgPomo7EkEXluFiIiISBS4xYyIiIhIJFiYEREREYkECzMiIiIikWBhRkRERCQSLMyIiIiIRIKFGREREZFIsDAjIiIiEgkWZkREREQiwcKMiIiISCT+D48HX0ujYQufAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.histplot(tenure, bins=50, alpha=0.8)\n",
    "plt.title('How many months a person has been a client of the company', fontsize=18, pad=10)\n",
    "plt.xticks(list(range(0, tenure.max(), 5)), fontsize=12)\n",
    "plt.yticks(list(range(0, 550, 30)), fontsize=12)\n",
    "plt.ylabel('Number of months', fontsize=16)\n",
    "plt.xlabel('Number of clients', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6690d1e",
   "metadata": {},
   "source": [
    "The conclusion that almost all customers use a telephone connection was confirmed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "50354ee7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Yes\n",
       "1       Yes\n",
       "2       Yes\n",
       "3       Yes\n",
       "4       Yes\n",
       "       ... \n",
       "5981    Yes\n",
       "5982    Yes\n",
       "5983    Yes\n",
       "5984    Yes\n",
       "5985    Yes\n",
       "Name: PhoneService, Length: 5986, dtype: object"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['PhoneService']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "89df5469",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Yes    5396\n",
       "No      590\n",
       "Name: PhoneService, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['PhoneService'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3661eb16",
   "metadata": {},
   "outputs": [],
   "source": [
    "phone_service = data['PhoneService'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "cd004fc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 7))\n",
    "sns.barplot(x=phone_service.index, y=phone_service.values, alpha=0.8)\n",
    "plt.title('Number of clients using telephone communication', fontsize=18, pad=10)\n",
    "plt.ylabel('Number of clients', fontsize=14)\n",
    "plt.xticks(fontsize=14)\n",
    "plt.yticks(fontsize=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa203b7e",
   "metadata": {},
   "source": [
    "On average, half of the clients do not use additional services. About 2/3 of clients use additional services"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "39885e01",
   "metadata": {},
   "outputs": [],
   "source": [
    "other_services = ['MultipleLines', 'InternetService', 'OnlineSecurity',\n",
    "                  'OnlineBackup', 'DeviceProtection', 'TechSupport',\n",
    "                  'StreamingTV', 'StreamingMovies']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "e2a63163",
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = [data[obj].value_counts() for obj in other_services]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "501f7c96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x1080 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=4, ncols=2, figsize=(20,15), sharey=True)\n",
    "t= 0\n",
    "\n",
    "for i in range(4):\n",
    "    for j in range(2):\n",
    "        data_prep = [data[obj].value_counts() for obj in other_services]\n",
    "        axes = ax[i][j]\n",
    "        sns.barplot(x=data_prep[t].index, y=data_prep[t].values, ax=axes, alpha=0.8)\n",
    "        axes.set_title(other_services[t], fontsize=16)\n",
    "        axes.set_yticks(list(range(0,3001,500)))\n",
    "        if j == 0:\n",
    "            axes.set_ylabel('Number of clients', fontsize=12)\n",
    "        t += 1\n",
    "fig.suptitle('Customers who use additional services', y=0.93, fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9013b77",
   "metadata": {},
   "source": [
    "As we can see, about half of the clients have a \"From month to month\" contract type, and about 1/4 each have \"Two years\" contract types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "68ecb781",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0             Two year\n",
       "1       Month-to-month\n",
       "2       Month-to-month\n",
       "3       Month-to-month\n",
       "4       Month-to-month\n",
       "             ...      \n",
       "5981    Month-to-month\n",
       "5982          Two year\n",
       "5983    Month-to-month\n",
       "5984    Month-to-month\n",
       "5985          One year\n",
       "Name: Contract, Length: 5986, dtype: object"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Contract']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "19ae2d55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month-to-month    3269\n",
       "Two year          1441\n",
       "One year          1276\n",
       "Name: Contract, dtype: int64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Contract'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "59e5b359",
   "metadata": {},
   "outputs": [],
   "source": [
    "contract = data['Contract'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "0117f5ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.barplot(x=contract.index, y=contract.values, alpha=0.8)\n",
    "plt.title('Number of clients and their type of contact', fontsize=18, pad=10)\n",
    "plt.ylabel('Number of clients', fontsize=14)\n",
    "plt.yticks(fontsize=14)\n",
    "plt.xticks(fontsize=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "23292eb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       24.10\n",
       "1       88.15\n",
       "2       74.95\n",
       "3       55.90\n",
       "4       53.45\n",
       "        ...  \n",
       "5981    95.00\n",
       "5982    91.10\n",
       "5983    21.15\n",
       "5984    99.45\n",
       "5985    19.80\n",
       "Name: MonthlyCharges, Length: 5986, dtype: float64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['MonthlyCharges']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "5dfc0f78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "monthly_charges = data['MonthlyCharges']\n",
    "plt.figure(figsize=(10,7))\n",
    "\n",
    "sns.histplot(monthly_charges, bins=20).set(ylabel=None, xlabel=None)\n",
    "plt.title('Monthly payment to date',fontsize=18)\n",
    "plt.xlabel('Payment amount',fontsize=14)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88af0bd5",
   "metadata": {},
   "source": [
    "Most of the clients pay for services by electronic check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "5479d9cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Electronic check             2006\n",
       "Mailed check                 1369\n",
       "Bank transfer (automatic)    1308\n",
       "Credit card (automatic)      1303\n",
       "Name: PaymentMethod, dtype: int64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['PaymentMethod'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "92a872c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "paymentMethod = data['PaymentMethod'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "6c455d11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 7))\n",
    "sns.barplot(x=paymentMethod.index, y=paymentMethod.values, alpha=0.8)\n",
    "plt.title('Number of clients and their type of payment', fontsize=18, pad=10)\n",
    "plt.ylabel('Number of clients', fontsize=14)\n",
    "plt.xlabel('Payment type', fontsize=14)\n",
    "plt.xticks(fontsize=14, rotation=30)\n",
    "plt.yticks(fontsize=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "5f7923f3",
   "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>Unnamed: 0</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>...</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>1869</td>\n",
       "      <td>7010-BRBUU</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>72</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>24.10</td>\n",
       "      <td>1734.65</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4528</td>\n",
       "      <td>9688-YGXVR</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>44</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</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>88.15</td>\n",
       "      <td>3973.2</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6344</td>\n",
       "      <td>9286-DOJGF</td>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>38</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</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>Bank transfer (automatic)</td>\n",
       "      <td>74.95</td>\n",
       "      <td>2869.85</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6739</td>\n",
       "      <td>6994-KERXL</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>55.90</td>\n",
       "      <td>238.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>432</td>\n",
       "      <td>2181-UAESM</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>...</td>\n",
       "      <td>Yes</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>Electronic check</td>\n",
       "      <td>53.45</td>\n",
       "      <td>119.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  customerID  gender  SeniorCitizen Partner Dependents  tenure  \\\n",
       "0        1869  7010-BRBUU    Male              0     Yes        Yes      72   \n",
       "1        4528  9688-YGXVR  Female              0      No         No      44   \n",
       "2        6344  9286-DOJGF  Female              1     Yes         No      38   \n",
       "3        6739  6994-KERXL    Male              0      No         No       4   \n",
       "4         432  2181-UAESM    Male              0      No         No       2   \n",
       "\n",
       "  PhoneService MultipleLines InternetService  ...     DeviceProtection  \\\n",
       "0          Yes           Yes              No  ...  No internet service   \n",
       "1          Yes            No     Fiber optic  ...                  Yes   \n",
       "2          Yes           Yes     Fiber optic  ...                   No   \n",
       "3          Yes            No             DSL  ...                   No   \n",
       "4          Yes            No             DSL  ...                  Yes   \n",
       "\n",
       "           TechSupport          StreamingTV      StreamingMovies  \\\n",
       "0  No internet service  No internet service  No internet service   \n",
       "1                   No                  Yes                   No   \n",
       "2                   No                   No                   No   \n",
       "3                   No                   No                  Yes   \n",
       "4                   No                   No                   No   \n",
       "\n",
       "         Contract PaperlessBilling              PaymentMethod MonthlyCharges  \\\n",
       "0        Two year               No    Credit card (automatic)          24.10   \n",
       "1  Month-to-month              Yes    Credit card (automatic)          88.15   \n",
       "2  Month-to-month              Yes  Bank transfer (automatic)          74.95   \n",
       "3  Month-to-month              Yes           Electronic check          55.90   \n",
       "4  Month-to-month               No           Electronic check          53.45   \n",
       "\n",
       "  TotalCharges  Churn  \n",
       "0      1734.65     No  \n",
       "1       3973.2     No  \n",
       "2      2869.85    Yes  \n",
       "3        238.5     No  \n",
       "4        119.5     No  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "4bd00f1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "customerID          object\n",
       "gender              object\n",
       "Partner             object\n",
       "Dependents          object\n",
       "PhoneService        object\n",
       "MultipleLines       object\n",
       "InternetService     object\n",
       "OnlineSecurity      object\n",
       "OnlineBackup        object\n",
       "DeviceProtection    object\n",
       "TechSupport         object\n",
       "StreamingTV         object\n",
       "StreamingMovies     object\n",
       "Contract            object\n",
       "PaperlessBilling    object\n",
       "PaymentMethod       object\n",
       "TotalCharges        object\n",
       "Churn               object\n",
       "dtype: object"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes[data.dtypes == object]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "c9be7fcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['customerID', 'gender', 'Partner', 'Dependents', 'PhoneService',\n",
       "       'MultipleLines', 'InternetService', 'OnlineSecurity', 'OnlineBackup',\n",
       "       'DeviceProtection', 'TechSupport', 'StreamingTV', 'StreamingMovies',\n",
       "       'Contract', 'PaperlessBilling', 'PaymentMethod', 'TotalCharges',\n",
       "       'Churn'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes[data.dtypes == object].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "3f7ba9c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "object_cols = list(data.dtypes[data.dtypes==object].index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "17962194",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       7010-BRBUU\n",
       "1       9688-YGXVR\n",
       "2       9286-DOJGF\n",
       "3       6994-KERXL\n",
       "4       2181-UAESM\n",
       "           ...    \n",
       "5981    0684-AOSIH\n",
       "5982    5982-PSMKW\n",
       "5983    8044-BGWPI\n",
       "5984    7450-NWRTR\n",
       "5985    4795-UXVCJ\n",
       "Name: customerID, Length: 5986, dtype: object"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['customerID']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "d5d87713",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       7010-BRBUU\n",
       "1       9688-YGXVR\n",
       "2       9286-DOJGF\n",
       "3       6994-KERXL\n",
       "4       2181-UAESM\n",
       "           ...    \n",
       "5981    0684-AOSIH\n",
       "5982    5982-PSMKW\n",
       "5983    8044-BGWPI\n",
       "5984    7450-NWRTR\n",
       "5985    4795-UXVCJ\n",
       "Name: customerID, Length: 5986, dtype: category\n",
       "Categories (5986, object): [0002-ORFBO, 0003-MKNFE, 0004-TLHLJ, 0011-IGKFF, ..., 9987-LUTYD, 9992-RRAMN, 9992-UJOEL, 9993-LHIEB]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['customerID'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "3396b0e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in object_cols:\n",
    "    data[col] = data[col].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "1e83d7d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_columns = data.select_dtypes(['category']).columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "6350a2e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
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       "      <td>2</td>\n",
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       "      <td>322</td>\n",
       "      <td>1</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5986 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      customerID  gender  Partner  Dependents  PhoneService  MultipleLines  \\\n",
       "0           4252       1        1           1             1              2   \n",
       "1           5806       0        0           0             1              0   \n",
       "2           5577       0        1           0             1              2   \n",
       "3           4243       1        0           0             1              0   \n",
       "4           1270       1        0           0             1              0   \n",
       "...          ...     ...      ...         ...           ...            ...   \n",
       "5981         402       1        1           0             1              0   \n",
       "5982        3616       0        1           1             1              2   \n",
       "5983        4858       1        1           1             1              0   \n",
       "5984        4499       1        0           0             1              2   \n",
       "5985        2866       1        0           0             1              0   \n",
       "\n",
       "      InternetService  OnlineSecurity  OnlineBackup  DeviceProtection  \\\n",
       "0                   2               1             1                 1   \n",
       "1                   1               0             2                 2   \n",
       "2                   1               0             0                 0   \n",
       "3                   0               0             0                 0   \n",
       "4                   0               2             0                 2   \n",
       "...               ...             ...           ...               ...   \n",
       "5981                1               2             0                 0   \n",
       "5982                0               2             2                 2   \n",
       "5983                2               1             1                 1   \n",
       "5984                1               0             0                 2   \n",
       "5985                2               1             1                 1   \n",
       "\n",
       "      TechSupport  StreamingTV  StreamingMovies  Contract  PaperlessBilling  \\\n",
       "0               1            1                1         2                 0   \n",
       "1               0            2                0         0                 1   \n",
       "2               0            0                0         0                 1   \n",
       "3               0            0                2         0                 1   \n",
       "4               0            0                0         0                 0   \n",
       "...           ...          ...              ...       ...               ...   \n",
       "5981            0            2                2         0                 1   \n",
       "5982            2            2                2         2                 1   \n",
       "5983            1            1                1         0                 1   \n",
       "5984            0            2                2         0                 1   \n",
       "5985            1            1                1         1                 0   \n",
       "\n",
       "      PaymentMethod  TotalCharges  Churn  \n",
       "0                 1          1066      0  \n",
       "1                 1          2901      0  \n",
       "2                 0          2126      1  \n",
       "3                 2          1733      0  \n",
       "4                 2           308      0  \n",
       "...             ...           ...    ...  \n",
       "5981              2          5540      1  \n",
       "5982              1          1561      0  \n",
       "5983              2          2290      0  \n",
       "5984              2           322      1  \n",
       "5985              1          3335      0  \n",
       "\n",
       "[5986 rows x 18 columns]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[cat_columns].apply(lambda x : x.cat.codes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "25fae628",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[cat_columns] = data[cat_columns].apply(lambda x : x.cat.codes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "c5ad5565",
   "metadata": {},
   "outputs": [
    {
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>2</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>74.95</td>\n",
       "      <td>2126</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6739</td>\n",
       "      <td>4243</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>55.90</td>\n",
       "      <td>1733</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>432</td>\n",
       "      <td>1270</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>53.45</td>\n",
       "      <td>308</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5981</th>\n",
       "      <td>3772</td>\n",
       "      <td>402</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>95.00</td>\n",
       "      <td>5540</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5982</th>\n",
       "      <td>5191</td>\n",
       "      <td>3616</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>91.10</td>\n",
       "      <td>1561</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5983</th>\n",
       "      <td>5226</td>\n",
       "      <td>4858</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>21.15</td>\n",
       "      <td>2290</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5984</th>\n",
       "      <td>5390</td>\n",
       "      <td>4499</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>99.45</td>\n",
       "      <td>322</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5985</th>\n",
       "      <td>860</td>\n",
       "      <td>2866</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>19.80</td>\n",
       "      <td>3335</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5986 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  customerID  gender  SeniorCitizen  Partner  Dependents  \\\n",
       "0           1869        4252       1              0        1           1   \n",
       "1           4528        5806       0              0        0           0   \n",
       "2           6344        5577       0              1        1           0   \n",
       "3           6739        4243       1              0        0           0   \n",
       "4            432        1270       1              0        0           0   \n",
       "...          ...         ...     ...            ...      ...         ...   \n",
       "5981        3772         402       1              0        1           0   \n",
       "5982        5191        3616       0              0        1           1   \n",
       "5983        5226        4858       1              0        1           1   \n",
       "5984        5390        4499       1              1        0           0   \n",
       "5985         860        2866       1              0        0           0   \n",
       "\n",
       "      tenure  PhoneService  MultipleLines  InternetService  ...  \\\n",
       "0         72             1              2                2  ...   \n",
       "1         44             1              0                1  ...   \n",
       "2         38             1              2                1  ...   \n",
       "3          4             1              0                0  ...   \n",
       "4          2             1              0                0  ...   \n",
       "...      ...           ...            ...              ...  ...   \n",
       "5981       1             1              0                1  ...   \n",
       "5982      23             1              2                0  ...   \n",
       "5983      12             1              0                2  ...   \n",
       "5984      12             1              2                1  ...   \n",
       "5985      26             1              0                2  ...   \n",
       "\n",
       "      DeviceProtection  TechSupport  StreamingTV  StreamingMovies  Contract  \\\n",
       "0                    1            1            1                1         2   \n",
       "1                    2            0            2                0         0   \n",
       "2                    0            0            0                0         0   \n",
       "3                    0            0            0                2         0   \n",
       "4                    2            0            0                0         0   \n",
       "...                ...          ...          ...              ...       ...   \n",
       "5981                 0            0            2                2         0   \n",
       "5982                 2            2            2                2         2   \n",
       "5983                 1            1            1                1         0   \n",
       "5984                 2            0            2                2         0   \n",
       "5985                 1            1            1                1         1   \n",
       "\n",
       "      PaperlessBilling  PaymentMethod  MonthlyCharges  TotalCharges  Churn  \n",
       "0                    0              1           24.10          1066      0  \n",
       "1                    1              1           88.15          2901      0  \n",
       "2                    1              0           74.95          2126      1  \n",
       "3                    1              2           55.90          1733      0  \n",
       "4                    0              2           53.45           308      0  \n",
       "...                ...            ...             ...           ...    ...  \n",
       "5981                 1              2           95.00          5540      1  \n",
       "5982                 1              1           91.10          1561      0  \n",
       "5983                 1              2           21.15          2290      0  \n",
       "5984                 1              2           99.45           322      1  \n",
       "5985                 0              1           19.80          3335      0  \n",
       "\n",
       "[5986 rows x 22 columns]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "dc93cbd5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5986 entries, 0 to 5985\n",
      "Data columns (total 22 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   Unnamed: 0        5986 non-null   int64  \n",
      " 1   customerID        5986 non-null   int16  \n",
      " 2   gender            5986 non-null   int8   \n",
      " 3   SeniorCitizen     5986 non-null   int64  \n",
      " 4   Partner           5986 non-null   int8   \n",
      " 5   Dependents        5986 non-null   int8   \n",
      " 6   tenure            5986 non-null   int64  \n",
      " 7   PhoneService      5986 non-null   int8   \n",
      " 8   MultipleLines     5986 non-null   int8   \n",
      " 9   InternetService   5986 non-null   int8   \n",
      " 10  OnlineSecurity    5986 non-null   int8   \n",
      " 11  OnlineBackup      5986 non-null   int8   \n",
      " 12  DeviceProtection  5986 non-null   int8   \n",
      " 13  TechSupport       5986 non-null   int8   \n",
      " 14  StreamingTV       5986 non-null   int8   \n",
      " 15  StreamingMovies   5986 non-null   int8   \n",
      " 16  Contract          5986 non-null   int8   \n",
      " 17  PaperlessBilling  5986 non-null   int8   \n",
      " 18  PaymentMethod     5986 non-null   int8   \n",
      " 19  MonthlyCharges    5986 non-null   float64\n",
      " 20  TotalCharges      5986 non-null   int16  \n",
      " 21  Churn             5986 non-null   int8   \n",
      "dtypes: float64(1), int16(2), int64(3), int8(16)\n",
      "memory usage: 304.1 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "1e141d5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define train and test datasets for training\n",
    "drop_elements = ['Unnamed: 0', 'customerID', 'Churn']\n",
    "train = data.drop(drop_elements, axis=1)\n",
    "test = data['Churn']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "9d6ccd9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colormap = plt.cm.RdBu\n",
    "plt.figure(figsize=(14,12))\n",
    "plt.title('Feature correlation Matrix', y=1, size=15)\n",
    "sns.heatmap(data.corr(), linewidths=0.1, vmax=1.0, square=True, cmap=colormap, linecolor='white', annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "b31bb87e",
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_train = data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "b212feb4",
   "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>Unnamed: 0</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>...</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>Unnamed: 0</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.001745</td>\n",
       "      <td>-0.006931</td>\n",
       "      <td>-0.000331</td>\n",
       "      <td>-0.001498</td>\n",
       "      <td>-0.008081</td>\n",
       "      <td>0.009620</td>\n",
       "      <td>-0.024496</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>-0.013718</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.010189</td>\n",
       "      <td>0.009791</td>\n",
       "      <td>-0.001738</td>\n",
       "      <td>-0.019630</td>\n",
       "      <td>0.005654</td>\n",
       "      <td>0.009736</td>\n",
       "      <td>0.023577</td>\n",
       "      <td>-0.009830</td>\n",
       "      <td>0.017044</td>\n",
       "      <td>0.006630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customerID</th>\n",
       "      <td>-0.001745</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.006424</td>\n",
       "      <td>-0.001659</td>\n",
       "      <td>-0.033431</td>\n",
       "      <td>-0.020291</td>\n",
       "      <td>0.006155</td>\n",
       "      <td>-0.020107</td>\n",
       "      <td>0.003231</td>\n",
       "      <td>-0.018282</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.005727</td>\n",
       "      <td>0.009835</td>\n",
       "      <td>-0.008514</td>\n",
       "      <td>-0.019300</td>\n",
       "      <td>0.013109</td>\n",
       "      <td>0.000792</td>\n",
       "      <td>0.006979</td>\n",
       "      <td>-0.005440</td>\n",
       "      <td>0.006225</td>\n",
       "      <td>-0.014888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gender</th>\n",
       "      <td>-0.006931</td>\n",
       "      <td>0.006424</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.007447</td>\n",
       "      <td>-0.007791</td>\n",
       "      <td>0.009083</td>\n",
       "      <td>0.003207</td>\n",
       "      <td>-0.004913</td>\n",
       "      <td>0.000654</td>\n",
       "      <td>-0.001858</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003010</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>-0.008193</td>\n",
       "      <td>-0.007297</td>\n",
       "      <td>-0.001843</td>\n",
       "      <td>-0.013990</td>\n",
       "      <td>0.015745</td>\n",
       "      <td>-0.014286</td>\n",
       "      <td>-0.011860</td>\n",
       "      <td>-0.009548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <td>-0.000331</td>\n",
       "      <td>-0.001659</td>\n",
       "      <td>-0.007447</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.014867</td>\n",
       "      <td>-0.214233</td>\n",
       "      <td>0.005468</td>\n",
       "      <td>0.009464</td>\n",
       "      <td>0.135743</td>\n",
       "      <td>-0.033614</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.019911</td>\n",
       "      <td>-0.152474</td>\n",
       "      <td>0.026869</td>\n",
       "      <td>0.042940</td>\n",
       "      <td>-0.149406</td>\n",
       "      <td>0.155691</td>\n",
       "      <td>-0.037653</td>\n",
       "      <td>0.219387</td>\n",
       "      <td>0.041596</td>\n",
       "      <td>0.150097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partner</th>\n",
       "      <td>-0.001498</td>\n",
       "      <td>-0.033431</td>\n",
       "      <td>-0.007791</td>\n",
       "      <td>0.014867</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.449029</td>\n",
       "      <td>0.381976</td>\n",
       "      <td>0.024926</td>\n",
       "      <td>0.147910</td>\n",
       "      <td>0.006319</td>\n",
       "      <td>...</td>\n",
       "      <td>0.165875</td>\n",
       "      <td>0.133171</td>\n",
       "      <td>0.143919</td>\n",
       "      <td>0.134082</td>\n",
       "      <td>0.300549</td>\n",
       "      <td>-0.018037</td>\n",
       "      <td>-0.151566</td>\n",
       "      <td>0.104006</td>\n",
       "      <td>0.072476</td>\n",
       "      <td>-0.146840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dependents</th>\n",
       "      <td>-0.008081</td>\n",
       "      <td>-0.020291</td>\n",
       "      <td>0.009083</td>\n",
       "      <td>-0.214233</td>\n",
       "      <td>0.449029</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.163710</td>\n",
       "      <td>-0.000579</td>\n",
       "      <td>-0.023180</td>\n",
       "      <td>0.046719</td>\n",
       "      <td>...</td>\n",
       "      <td>0.077105</td>\n",
       "      <td>0.139518</td>\n",
       "      <td>0.046075</td>\n",
       "      <td>0.023928</td>\n",
       "      <td>0.246163</td>\n",
       "      <td>-0.112405</td>\n",
       "      <td>-0.038302</td>\n",
       "      <td>-0.115803</td>\n",
       "      <td>-0.010098</td>\n",
       "      <td>-0.160204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tenure</th>\n",
       "      <td>0.009620</td>\n",
       "      <td>0.006155</td>\n",
       "      <td>0.003207</td>\n",
       "      <td>0.005468</td>\n",
       "      <td>0.381976</td>\n",
       "      <td>0.163710</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.010392</td>\n",
       "      <td>0.350499</td>\n",
       "      <td>-0.030184</td>\n",
       "      <td>...</td>\n",
       "      <td>0.372424</td>\n",
       "      <td>0.326081</td>\n",
       "      <td>0.292981</td>\n",
       "      <td>0.307437</td>\n",
       "      <td>0.671551</td>\n",
       "      <td>0.006569</td>\n",
       "      <td>-0.359652</td>\n",
       "      <td>0.256983</td>\n",
       "      <td>0.160293</td>\n",
       "      <td>-0.348469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PhoneService</th>\n",
       "      <td>-0.024496</td>\n",
       "      <td>-0.020107</td>\n",
       "      <td>-0.004913</td>\n",
       "      <td>0.009464</td>\n",
       "      <td>0.024926</td>\n",
       "      <td>-0.000579</td>\n",
       "      <td>0.010392</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.017479</td>\n",
       "      <td>0.390024</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002764</td>\n",
       "      <td>-0.012189</td>\n",
       "      <td>0.055582</td>\n",
       "      <td>0.047035</td>\n",
       "      <td>0.005267</td>\n",
       "      <td>0.021340</td>\n",
       "      <td>-0.003853</td>\n",
       "      <td>0.251029</td>\n",
       "      <td>0.081162</td>\n",
       "      <td>0.009421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MultipleLines</th>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.003231</td>\n",
       "      <td>0.000654</td>\n",
       "      <td>0.135743</td>\n",
       "      <td>0.147910</td>\n",
       "      <td>-0.023180</td>\n",
       "      <td>0.350499</td>\n",
       "      <td>-0.017479</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.106981</td>\n",
       "      <td>...</td>\n",
       "      <td>0.126047</td>\n",
       "      <td>0.015052</td>\n",
       "      <td>0.170890</td>\n",
       "      <td>0.184659</td>\n",
       "      <td>0.113906</td>\n",
       "      <td>0.169703</td>\n",
       "      <td>-0.176295</td>\n",
       "      <td>0.436869</td>\n",
       "      <td>0.118301</td>\n",
       "      <td>0.034943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>InternetService</th>\n",
       "      <td>-0.013718</td>\n",
       "      <td>-0.018282</td>\n",
       "      <td>-0.001858</td>\n",
       "      <td>-0.033614</td>\n",
       "      <td>0.006319</td>\n",
       "      <td>0.046719</td>\n",
       "      <td>-0.030184</td>\n",
       "      <td>0.390024</td>\n",
       "      <td>-0.106981</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.044264</td>\n",
       "      <td>-0.021814</td>\n",
       "      <td>0.105667</td>\n",
       "      <td>0.091993</td>\n",
       "      <td>0.100796</td>\n",
       "      <td>-0.137651</td>\n",
       "      <td>0.089963</td>\n",
       "      <td>-0.320206</td>\n",
       "      <td>-0.059210</td>\n",
       "      <td>-0.047198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <td>0.001855</td>\n",
       "      <td>0.016347</td>\n",
       "      <td>-0.020759</td>\n",
       "      <td>-0.127915</td>\n",
       "      <td>0.161958</td>\n",
       "      <td>0.158121</td>\n",
       "      <td>0.328139</td>\n",
       "      <td>-0.011130</td>\n",
       "      <td>0.012582</td>\n",
       "      <td>-0.023363</td>\n",
       "      <td>...</td>\n",
       "      <td>0.186062</td>\n",
       "      <td>0.283037</td>\n",
       "      <td>0.058668</td>\n",
       "      <td>0.069189</td>\n",
       "      <td>0.374060</td>\n",
       "      <td>-0.150102</td>\n",
       "      <td>-0.089126</td>\n",
       "      <td>-0.044947</td>\n",
       "      <td>0.040176</td>\n",
       "      <td>-0.290306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OnlineBackup</th>\n",
       "      <td>-0.004541</td>\n",
       "      <td>-0.003769</td>\n",
       "      <td>-0.018045</td>\n",
       "      <td>-0.017460</td>\n",
       "      <td>0.162627</td>\n",
       "      <td>0.090680</td>\n",
       "      <td>0.367155</td>\n",
       "      <td>0.027494</td>\n",
       "      <td>0.125375</td>\n",
       "      <td>0.032665</td>\n",
       "      <td>...</td>\n",
       "      <td>0.191779</td>\n",
       "      <td>0.189077</td>\n",
       "      <td>0.148079</td>\n",
       "      <td>0.146281</td>\n",
       "      <td>0.279856</td>\n",
       "      <td>-0.016363</td>\n",
       "      <td>-0.118700</td>\n",
       "      <td>0.126970</td>\n",
       "      <td>0.089347</td>\n",
       "      <td>-0.193851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DeviceProtection</th>\n",
       "      <td>-0.010189</td>\n",
       "      <td>-0.005727</td>\n",
       "      <td>-0.003010</td>\n",
       "      <td>-0.019911</td>\n",
       "      <td>0.165875</td>\n",
       "      <td>0.077105</td>\n",
       "      <td>0.372424</td>\n",
       "      <td>0.002764</td>\n",
       "      <td>0.126047</td>\n",
       "      <td>0.044264</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.242131</td>\n",
       "      <td>0.273672</td>\n",
       "      <td>0.298596</td>\n",
       "      <td>0.356045</td>\n",
       "      <td>-0.037505</td>\n",
       "      <td>-0.139106</td>\n",
       "      <td>0.164062</td>\n",
       "      <td>0.106688</td>\n",
       "      <td>-0.180120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TechSupport</th>\n",
       "      <td>0.009791</td>\n",
       "      <td>0.009835</td>\n",
       "      <td>-0.008468</td>\n",
       "      <td>-0.152474</td>\n",
       "      <td>0.133171</td>\n",
       "      <td>0.139518</td>\n",
       "      <td>0.326081</td>\n",
       "      <td>-0.012189</td>\n",
       "      <td>0.015052</td>\n",
       "      <td>-0.021814</td>\n",
       "      <td>...</td>\n",
       "      <td>0.242131</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.167276</td>\n",
       "      <td>0.167149</td>\n",
       "      <td>0.429494</td>\n",
       "      <td>-0.115084</td>\n",
       "      <td>-0.099707</td>\n",
       "      <td>-0.003632</td>\n",
       "      <td>0.056548</td>\n",
       "      <td>-0.277261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StreamingTV</th>\n",
       "      <td>-0.001738</td>\n",
       "      <td>-0.008514</td>\n",
       "      <td>-0.008193</td>\n",
       "      <td>0.026869</td>\n",
       "      <td>0.143919</td>\n",
       "      <td>0.046075</td>\n",
       "      <td>0.292981</td>\n",
       "      <td>0.055582</td>\n",
       "      <td>0.170890</td>\n",
       "      <td>0.105667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.273672</td>\n",
       "      <td>0.167276</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.435575</td>\n",
       "      <td>0.231885</td>\n",
       "      <td>0.097757</td>\n",
       "      <td>-0.101177</td>\n",
       "      <td>0.337402</td>\n",
       "      <td>0.142133</td>\n",
       "      <td>-0.037609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StreamingMovies</th>\n",
       "      <td>-0.019630</td>\n",
       "      <td>-0.019300</td>\n",
       "      <td>-0.007297</td>\n",
       "      <td>0.042940</td>\n",
       "      <td>0.134082</td>\n",
       "      <td>0.023928</td>\n",
       "      <td>0.307437</td>\n",
       "      <td>0.047035</td>\n",
       "      <td>0.184659</td>\n",
       "      <td>0.091993</td>\n",
       "      <td>...</td>\n",
       "      <td>0.298596</td>\n",
       "      <td>0.167149</td>\n",
       "      <td>0.435575</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.238688</td>\n",
       "      <td>0.082064</td>\n",
       "      <td>-0.115639</td>\n",
       "      <td>0.338890</td>\n",
       "      <td>0.150332</td>\n",
       "      <td>-0.039100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Contract</th>\n",
       "      <td>0.005654</td>\n",
       "      <td>0.013109</td>\n",
       "      <td>-0.001843</td>\n",
       "      <td>-0.149406</td>\n",
       "      <td>0.300549</td>\n",
       "      <td>0.246163</td>\n",
       "      <td>0.671551</td>\n",
       "      <td>0.005267</td>\n",
       "      <td>0.113906</td>\n",
       "      <td>0.100796</td>\n",
       "      <td>...</td>\n",
       "      <td>0.356045</td>\n",
       "      <td>0.429494</td>\n",
       "      <td>0.231885</td>\n",
       "      <td>0.238688</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.183335</td>\n",
       "      <td>-0.218920</td>\n",
       "      <td>-0.068429</td>\n",
       "      <td>0.107731</td>\n",
       "      <td>-0.396446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <td>0.009736</td>\n",
       "      <td>0.000792</td>\n",
       "      <td>-0.013990</td>\n",
       "      <td>0.155691</td>\n",
       "      <td>-0.018037</td>\n",
       "      <td>-0.112405</td>\n",
       "      <td>0.006569</td>\n",
       "      <td>0.021340</td>\n",
       "      <td>0.169703</td>\n",
       "      <td>-0.137651</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.037505</td>\n",
       "      <td>-0.115084</td>\n",
       "      <td>0.097757</td>\n",
       "      <td>0.082064</td>\n",
       "      <td>-0.183335</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.057941</td>\n",
       "      <td>0.355816</td>\n",
       "      <td>0.109309</td>\n",
       "      <td>0.188996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PaymentMethod</th>\n",
       "      <td>0.023577</td>\n",
       "      <td>0.006979</td>\n",
       "      <td>0.015745</td>\n",
       "      <td>-0.037653</td>\n",
       "      <td>-0.151566</td>\n",
       "      <td>-0.038302</td>\n",
       "      <td>-0.359652</td>\n",
       "      <td>-0.003853</td>\n",
       "      <td>-0.176295</td>\n",
       "      <td>0.089963</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.139106</td>\n",
       "      <td>-0.099707</td>\n",
       "      <td>-0.101177</td>\n",
       "      <td>-0.115639</td>\n",
       "      <td>-0.218920</td>\n",
       "      <td>-0.057941</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.199109</td>\n",
       "      <td>-0.063314</td>\n",
       "      <td>0.103927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <td>-0.009830</td>\n",
       "      <td>-0.005440</td>\n",
       "      <td>-0.014286</td>\n",
       "      <td>0.219387</td>\n",
       "      <td>0.104006</td>\n",
       "      <td>-0.115803</td>\n",
       "      <td>0.256983</td>\n",
       "      <td>0.251029</td>\n",
       "      <td>0.436869</td>\n",
       "      <td>-0.320206</td>\n",
       "      <td>...</td>\n",
       "      <td>0.164062</td>\n",
       "      <td>-0.003632</td>\n",
       "      <td>0.337402</td>\n",
       "      <td>0.338890</td>\n",
       "      <td>-0.068429</td>\n",
       "      <td>0.355816</td>\n",
       "      <td>-0.199109</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.286599</td>\n",
       "      <td>0.186753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalCharges</th>\n",
       "      <td>0.017044</td>\n",
       "      <td>0.006225</td>\n",
       "      <td>-0.011860</td>\n",
       "      <td>0.041596</td>\n",
       "      <td>0.072476</td>\n",
       "      <td>-0.010098</td>\n",
       "      <td>0.160293</td>\n",
       "      <td>0.081162</td>\n",
       "      <td>0.118301</td>\n",
       "      <td>-0.059210</td>\n",
       "      <td>...</td>\n",
       "      <td>0.106688</td>\n",
       "      <td>0.056548</td>\n",
       "      <td>0.142133</td>\n",
       "      <td>0.150332</td>\n",
       "      <td>0.107731</td>\n",
       "      <td>0.109309</td>\n",
       "      <td>-0.063314</td>\n",
       "      <td>0.286599</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.016573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Churn</th>\n",
       "      <td>0.006630</td>\n",
       "      <td>-0.014888</td>\n",
       "      <td>-0.009548</td>\n",
       "      <td>0.150097</td>\n",
       "      <td>-0.146840</td>\n",
       "      <td>-0.160204</td>\n",
       "      <td>-0.348469</td>\n",
       "      <td>0.009421</td>\n",
       "      <td>0.034943</td>\n",
       "      <td>-0.047198</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.180120</td>\n",
       "      <td>-0.277261</td>\n",
       "      <td>-0.037609</td>\n",
       "      <td>-0.039100</td>\n",
       "      <td>-0.396446</td>\n",
       "      <td>0.188996</td>\n",
       "      <td>0.103927</td>\n",
       "      <td>0.186753</td>\n",
       "      <td>0.016573</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Unnamed: 0  customerID    gender  SeniorCitizen   Partner  \\\n",
       "Unnamed: 0          1.000000   -0.001745 -0.006931      -0.000331 -0.001498   \n",
       "customerID         -0.001745    1.000000  0.006424      -0.001659 -0.033431   \n",
       "gender             -0.006931    0.006424  1.000000      -0.007447 -0.007791   \n",
       "SeniorCitizen      -0.000331   -0.001659 -0.007447       1.000000  0.014867   \n",
       "Partner            -0.001498   -0.033431 -0.007791       0.014867  1.000000   \n",
       "Dependents         -0.008081   -0.020291  0.009083      -0.214233  0.449029   \n",
       "tenure              0.009620    0.006155  0.003207       0.005468  0.381976   \n",
       "PhoneService       -0.024496   -0.020107 -0.004913       0.009464  0.024926   \n",
       "MultipleLines      -0.011430    0.003231  0.000654       0.135743  0.147910   \n",
       "InternetService    -0.013718   -0.018282 -0.001858      -0.033614  0.006319   \n",
       "OnlineSecurity      0.001855    0.016347 -0.020759      -0.127915  0.161958   \n",
       "OnlineBackup       -0.004541   -0.003769 -0.018045      -0.017460  0.162627   \n",
       "DeviceProtection   -0.010189   -0.005727 -0.003010      -0.019911  0.165875   \n",
       "TechSupport         0.009791    0.009835 -0.008468      -0.152474  0.133171   \n",
       "StreamingTV        -0.001738   -0.008514 -0.008193       0.026869  0.143919   \n",
       "StreamingMovies    -0.019630   -0.019300 -0.007297       0.042940  0.134082   \n",
       "Contract            0.005654    0.013109 -0.001843      -0.149406  0.300549   \n",
       "PaperlessBilling    0.009736    0.000792 -0.013990       0.155691 -0.018037   \n",
       "PaymentMethod       0.023577    0.006979  0.015745      -0.037653 -0.151566   \n",
       "MonthlyCharges     -0.009830   -0.005440 -0.014286       0.219387  0.104006   \n",
       "TotalCharges        0.017044    0.006225 -0.011860       0.041596  0.072476   \n",
       "Churn               0.006630   -0.014888 -0.009548       0.150097 -0.146840   \n",
       "\n",
       "                  Dependents    tenure  PhoneService  MultipleLines  \\\n",
       "Unnamed: 0         -0.008081  0.009620     -0.024496      -0.011430   \n",
       "customerID         -0.020291  0.006155     -0.020107       0.003231   \n",
       "gender              0.009083  0.003207     -0.004913       0.000654   \n",
       "SeniorCitizen      -0.214233  0.005468      0.009464       0.135743   \n",
       "Partner             0.449029  0.381976      0.024926       0.147910   \n",
       "Dependents          1.000000  0.163710     -0.000579      -0.023180   \n",
       "tenure              0.163710  1.000000      0.010392       0.350499   \n",
       "PhoneService       -0.000579  0.010392      1.000000      -0.017479   \n",
       "MultipleLines      -0.023180  0.350499     -0.017479       1.000000   \n",
       "InternetService     0.046719 -0.030184      0.390024      -0.106981   \n",
       "OnlineSecurity      0.158121  0.328139     -0.011130       0.012582   \n",
       "OnlineBackup        0.090680  0.367155      0.027494       0.125375   \n",
       "DeviceProtection    0.077105  0.372424      0.002764       0.126047   \n",
       "TechSupport         0.139518  0.326081     -0.012189       0.015052   \n",
       "StreamingTV         0.046075  0.292981      0.055582       0.170890   \n",
       "StreamingMovies     0.023928  0.307437      0.047035       0.184659   \n",
       "Contract            0.246163  0.671551      0.005267       0.113906   \n",
       "PaperlessBilling   -0.112405  0.006569      0.021340       0.169703   \n",
       "PaymentMethod      -0.038302 -0.359652     -0.003853      -0.176295   \n",
       "MonthlyCharges     -0.115803  0.256983      0.251029       0.436869   \n",
       "TotalCharges       -0.010098  0.160293      0.081162       0.118301   \n",
       "Churn              -0.160204 -0.348469      0.009421       0.034943   \n",
       "\n",
       "                  InternetService  ...  DeviceProtection  TechSupport  \\\n",
       "Unnamed: 0              -0.013718  ...         -0.010189     0.009791   \n",
       "customerID              -0.018282  ...         -0.005727     0.009835   \n",
       "gender                  -0.001858  ...         -0.003010    -0.008468   \n",
       "SeniorCitizen           -0.033614  ...         -0.019911    -0.152474   \n",
       "Partner                  0.006319  ...          0.165875     0.133171   \n",
       "Dependents               0.046719  ...          0.077105     0.139518   \n",
       "tenure                  -0.030184  ...          0.372424     0.326081   \n",
       "PhoneService             0.390024  ...          0.002764    -0.012189   \n",
       "MultipleLines           -0.106981  ...          0.126047     0.015052   \n",
       "InternetService          1.000000  ...          0.044264    -0.021814   \n",
       "OnlineSecurity          -0.023363  ...          0.186062     0.283037   \n",
       "OnlineBackup             0.032665  ...          0.191779     0.189077   \n",
       "DeviceProtection         0.044264  ...          1.000000     0.242131   \n",
       "TechSupport             -0.021814  ...          0.242131     1.000000   \n",
       "StreamingTV              0.105667  ...          0.273672     0.167276   \n",
       "StreamingMovies          0.091993  ...          0.298596     0.167149   \n",
       "Contract                 0.100796  ...          0.356045     0.429494   \n",
       "PaperlessBilling        -0.137651  ...         -0.037505    -0.115084   \n",
       "PaymentMethod            0.089963  ...         -0.139106    -0.099707   \n",
       "MonthlyCharges          -0.320206  ...          0.164062    -0.003632   \n",
       "TotalCharges            -0.059210  ...          0.106688     0.056548   \n",
       "Churn                   -0.047198  ...         -0.180120    -0.277261   \n",
       "\n",
       "                  StreamingTV  StreamingMovies  Contract  PaperlessBilling  \\\n",
       "Unnamed: 0          -0.001738        -0.019630  0.005654          0.009736   \n",
       "customerID          -0.008514        -0.019300  0.013109          0.000792   \n",
       "gender              -0.008193        -0.007297 -0.001843         -0.013990   \n",
       "SeniorCitizen        0.026869         0.042940 -0.149406          0.155691   \n",
       "Partner              0.143919         0.134082  0.300549         -0.018037   \n",
       "Dependents           0.046075         0.023928  0.246163         -0.112405   \n",
       "tenure               0.292981         0.307437  0.671551          0.006569   \n",
       "PhoneService         0.055582         0.047035  0.005267          0.021340   \n",
       "MultipleLines        0.170890         0.184659  0.113906          0.169703   \n",
       "InternetService      0.105667         0.091993  0.100796         -0.137651   \n",
       "OnlineSecurity       0.058668         0.069189  0.374060         -0.150102   \n",
       "OnlineBackup         0.148079         0.146281  0.279856         -0.016363   \n",
       "DeviceProtection     0.273672         0.298596  0.356045         -0.037505   \n",
       "TechSupport          0.167276         0.167149  0.429494         -0.115084   \n",
       "StreamingTV          1.000000         0.435575  0.231885          0.097757   \n",
       "StreamingMovies      0.435575         1.000000  0.238688          0.082064   \n",
       "Contract             0.231885         0.238688  1.000000         -0.183335   \n",
       "PaperlessBilling     0.097757         0.082064 -0.183335          1.000000   \n",
       "PaymentMethod       -0.101177        -0.115639 -0.218920         -0.057941   \n",
       "MonthlyCharges       0.337402         0.338890 -0.068429          0.355816   \n",
       "TotalCharges         0.142133         0.150332  0.107731          0.109309   \n",
       "Churn               -0.037609        -0.039100 -0.396446          0.188996   \n",
       "\n",
       "                  PaymentMethod  MonthlyCharges  TotalCharges     Churn  \n",
       "Unnamed: 0             0.023577       -0.009830      0.017044  0.006630  \n",
       "customerID             0.006979       -0.005440      0.006225 -0.014888  \n",
       "gender                 0.015745       -0.014286     -0.011860 -0.009548  \n",
       "SeniorCitizen         -0.037653        0.219387      0.041596  0.150097  \n",
       "Partner               -0.151566        0.104006      0.072476 -0.146840  \n",
       "Dependents            -0.038302       -0.115803     -0.010098 -0.160204  \n",
       "tenure                -0.359652        0.256983      0.160293 -0.348469  \n",
       "PhoneService          -0.003853        0.251029      0.081162  0.009421  \n",
       "MultipleLines         -0.176295        0.436869      0.118301  0.034943  \n",
       "InternetService        0.089963       -0.320206     -0.059210 -0.047198  \n",
       "OnlineSecurity        -0.089126       -0.044947      0.040176 -0.290306  \n",
       "OnlineBackup          -0.118700        0.126970      0.089347 -0.193851  \n",
       "DeviceProtection      -0.139106        0.164062      0.106688 -0.180120  \n",
       "TechSupport           -0.099707       -0.003632      0.056548 -0.277261  \n",
       "StreamingTV           -0.101177        0.337402      0.142133 -0.037609  \n",
       "StreamingMovies       -0.115639        0.338890      0.150332 -0.039100  \n",
       "Contract              -0.218920       -0.068429      0.107731 -0.396446  \n",
       "PaperlessBilling      -0.057941        0.355816      0.109309  0.188996  \n",
       "PaymentMethod          1.000000       -0.199109     -0.063314  0.103927  \n",
       "MonthlyCharges        -0.199109        1.000000      0.286599  0.186753  \n",
       "TotalCharges          -0.063314        0.286599      1.000000  0.016573  \n",
       "Churn                  0.103927        0.186753      0.016573  1.000000  \n",
       "\n",
       "[22 rows x 22 columns]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "34fb00cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0          0.006630\n",
       "customerID         -0.014888\n",
       "gender             -0.009548\n",
       "SeniorCitizen       0.150097\n",
       "Partner            -0.146840\n",
       "Dependents         -0.160204\n",
       "tenure             -0.348469\n",
       "PhoneService        0.009421\n",
       "MultipleLines       0.034943\n",
       "InternetService    -0.047198\n",
       "OnlineSecurity     -0.290306\n",
       "OnlineBackup       -0.193851\n",
       "DeviceProtection   -0.180120\n",
       "TechSupport        -0.277261\n",
       "StreamingTV        -0.037609\n",
       "StreamingMovies    -0.039100\n",
       "Contract           -0.396446\n",
       "PaperlessBilling    0.188996\n",
       "PaymentMethod       0.103927\n",
       "MonthlyCharges      0.186753\n",
       "TotalCharges        0.016573\n",
       "Churn               1.000000\n",
       "Name: Churn, dtype: float64"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_train['Churn']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "75298935",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Churn               1.000000\n",
       "PaperlessBilling    0.188996\n",
       "MonthlyCharges      0.186753\n",
       "SeniorCitizen       0.150097\n",
       "PaymentMethod       0.103927\n",
       "MultipleLines       0.034943\n",
       "TotalCharges        0.016573\n",
       "PhoneService        0.009421\n",
       "Unnamed: 0          0.006630\n",
       "gender             -0.009548\n",
       "customerID         -0.014888\n",
       "StreamingTV        -0.037609\n",
       "StreamingMovies    -0.039100\n",
       "InternetService    -0.047198\n",
       "Partner            -0.146840\n",
       "Dependents         -0.160204\n",
       "DeviceProtection   -0.180120\n",
       "OnlineBackup       -0.193851\n",
       "TechSupport        -0.277261\n",
       "OnlineSecurity     -0.290306\n",
       "tenure             -0.348469\n",
       "Contract           -0.396446\n",
       "Name: Churn, dtype: float64"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_train['Churn'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "1936c50a",
   "metadata": {},
   "outputs": [],
   "source": [
    "Churn = pd.DataFrame(corr_train['Churn'].sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "c9d7716e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Churn</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <td>0.188996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <td>0.186753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <td>0.150097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PaymentMethod</th>\n",
       "      <td>0.103927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MultipleLines</th>\n",
       "      <td>0.034943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalCharges</th>\n",
       "      <td>0.016573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PhoneService</th>\n",
       "      <td>0.009421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <td>0.006630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gender</th>\n",
       "      <td>-0.009548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customerID</th>\n",
       "      <td>-0.014888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StreamingTV</th>\n",
       "      <td>-0.037609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StreamingMovies</th>\n",
       "      <td>-0.039100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>InternetService</th>\n",
       "      <td>-0.047198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partner</th>\n",
       "      <td>-0.146840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dependents</th>\n",
       "      <td>-0.160204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DeviceProtection</th>\n",
       "      <td>-0.180120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OnlineBackup</th>\n",
       "      <td>-0.193851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TechSupport</th>\n",
       "      <td>-0.277261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <td>-0.290306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tenure</th>\n",
       "      <td>-0.348469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Contract</th>\n",
       "      <td>-0.396446</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Churn\n",
       "Churn             1.000000\n",
       "PaperlessBilling  0.188996\n",
       "MonthlyCharges    0.186753\n",
       "SeniorCitizen     0.150097\n",
       "PaymentMethod     0.103927\n",
       "MultipleLines     0.034943\n",
       "TotalCharges      0.016573\n",
       "PhoneService      0.009421\n",
       "Unnamed: 0        0.006630\n",
       "gender           -0.009548\n",
       "customerID       -0.014888\n",
       "StreamingTV      -0.037609\n",
       "StreamingMovies  -0.039100\n",
       "InternetService  -0.047198\n",
       "Partner          -0.146840\n",
       "Dependents       -0.160204\n",
       "DeviceProtection -0.180120\n",
       "OnlineBackup     -0.193851\n",
       "TechSupport      -0.277261\n",
       "OnlineSecurity   -0.290306\n",
       "tenure           -0.348469\n",
       "Contract         -0.396446"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Churn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "074d0ca7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(Churn)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2e7b28c",
   "metadata": {},
   "source": [
    "## 3. Building models to predict outflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "ad3e20ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import StackingClassifier\n",
    "\n",
    "from sklearn.model_selection import (GridSearchCV,\n",
    "                                     train_test_split,\n",
    "                                     StratifiedKFold,\n",
    "                                     cross_val_predict\n",
    "                                    )\n",
    "from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier, AdaBoostClassifier\n",
    "from sklearn.svm import SVC\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score, r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "477286a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix, precision_score, recall_score, classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "b1810fe4",
   "metadata": {},
   "outputs": [],
   "source": [
    "skf = StratifiedKFold(n_splits=5)\n",
    "\n",
    "gbc = GradientBoostingClassifier(random_state=42)\n",
    "rfc = RandomForestClassifier(random_state=42)\n",
    "svc = SVC(random_state=42)\n",
    "ada = AdaBoostClassifier(random_state=42)\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(train, test, test_size=0.2, random_state=17)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cbe0cf7",
   "metadata": {},
   "source": [
    "XGBClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "0171a997",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "              colsample_bynode=1, colsample_bytree=0.4603, gamma=0.0468,\n",
       "              gpu_id=-1, importance_type='gain', interaction_constraints='',\n",
       "              learning_rate=0.05, max_delta_step=0, max_depth=3,\n",
       "              min_child_weight=1.7817, missing=nan, monotone_constraints='()',\n",
       "              n_estimators=2200, n_jobs=-1, nthread=-1, num_parallel_tree=1,\n",
       "              random_state=7, reg_alpha=0.464, reg_lambda=0.8571,\n",
       "              scale_pos_weight=1, subsample=0.5213, tree_method='exact',\n",
       "              validate_parameters=1, verbosity=None)"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgb_model = XGBClassifier(colsample_bytree=0.4603, gamma=0.0468, learning_rate=0.05, max_depth=3,\n",
    "                          min_child_weight=1.7817, n_estimators=2200, reg_alpha=0.4640, reg_lambda=0.8571,\n",
    "                          subsample=0.5213, random_state=7, nthread =-1\n",
    "                         )\n",
    "xgb_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "e2406cb8",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = xgb_model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "ebeecbdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[778, 105],\n",
       "       [149, 166]])"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "7aa8eb0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7879799666110183"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "ede6c67c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.84      0.88      0.86       883\n",
      "           1       0.61      0.53      0.57       315\n",
      "\n",
      "    accuracy                           0.79      1198\n",
      "   macro avg       0.73      0.70      0.71      1198\n",
      "weighted avg       0.78      0.79      0.78      1198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "d0afb247",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "              colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,\n",
       "              importance_type='gain', interaction_constraints='',\n",
       "              learning_rate=0.300000012, max_delta_step=0, max_depth=6,\n",
       "              min_child_weight=1, missing=nan, monotone_constraints='()',\n",
       "              n_estimators=100, n_jobs=0, num_parallel_tree=1, random_state=0,\n",
       "              reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,\n",
       "              tree_method='exact', validate_parameters=1, verbosity=None)"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgb_model_basic = XGBClassifier()\n",
    "xgb_model_basic.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "36e37827",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = xgb_model_basic.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "ca709894",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[778, 105],\n",
       "       [160, 155]])"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "760ce36f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7787979966611018"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "9455ab5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.83      0.88      0.85       883\n",
      "           1       0.60      0.49      0.54       315\n",
      "\n",
      "    accuracy                           0.78      1198\n",
      "   macro avg       0.71      0.69      0.70      1198\n",
      "weighted avg       0.77      0.78      0.77      1198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4bd3c68",
   "metadata": {},
   "source": [
    "Stacking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "13780cfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "rfc_params = {\n",
    "    'n_estimators':[200,500],\n",
    "    'max_features':['auto','sqrt','log2'],\n",
    "    'max_depth':[4,5,6,7,8],\n",
    "    'criterion':['gini','entropy']\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "8a29af4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# CV_rfc = GridSearchCV(rfc, rfc_params, scoring='roc_auc', cv=skf)\n",
    "\n",
    "# CV_rfc.fit(X_train, y_train)\n",
    "\n",
    "# rfc_best_params = CV_rfc.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "dc34c728",
   "metadata": {},
   "outputs": [],
   "source": [
    "rfc_best_params = {'criterion': 'gini',\n",
    "    'max_depth': 7,\n",
    "    'max_features': 'auto',\n",
    "    'n_estimators': 500}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "145d440c",
   "metadata": {},
   "outputs": [],
   "source": [
    "gbc_params = {\n",
    "    'learning_rate': [0.01, 0.025, 0.05, 0.075, 0.1, 0.15, 0.2],\n",
    "    'max_depth': [3,5,8],\n",
    "    'subsample': [0.5, 0.618, 0.8, 0.85, 0.9, 0.95, 1.0],\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "5379eb91",
   "metadata": {},
   "outputs": [],
   "source": [
    "# CV_gbc = GridSearchCV(gbc, gbc_params, scoring='roc_auc', cv=skf)\n",
    "# CV_gbc.fit(X_train, y_train)\n",
    "# gbc_best_params = CV_gbc.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "345dcfed",
   "metadata": {},
   "outputs": [],
   "source": [
    "gbc_best_params = {'learning_rate': 0.05, 'max_depth': 3, 'subsample': 0.618}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "7b7875f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "svc_params = {'C': [0.1, 1, 10, 100, 1000],  \n",
    "              'gamma': [1, 0.1, 0.01, 0.001, 0.0001], \n",
    "              'kernel': ['rbf']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "e1e8454b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# CV_svc = GridSearchCV(svc, svc_params, scoring='roc_auc', cv=skf)\n",
    "# CV_svc.fit(X_train, y_train)\n",
    "# svc_best_params = CV_svc.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "f966f2a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "svc_best_params = {'C': 100, 'gamma': 0.0001, 'kernel': 'rbf'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "5c6c96b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "ada_params = {\n",
    "    'n_estimators': [100, 200],\n",
    "    'learning_rate': [0.001, 0.01, 0.1, 0.2, 0.5]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "62d4c9c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# CV_ada = GridSearchCV(ada, ada_params, scoring='roc_auc', cv=skf)\n",
    "# CV_ada.fit(X_train, y_train)\n",
    "# ada_best_params = CV_ada.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "7e807baf",
   "metadata": {},
   "outputs": [],
   "source": [
    "ada_best_params = {'learning_rate': 0.1, 'n_estimators': 200}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "415d7228",
   "metadata": {},
   "outputs": [],
   "source": [
    "gbc_model = GradientBoostingClassifier(**gbc_best_params, random_state=42)\n",
    "rfc_model = RandomForestClassifier(**rfc_best_params, random_state=42)\n",
    "svc_model = SVC(**svc_best_params, random_state=42)\n",
    "ada_model = AdaBoostClassifier(**ada_best_params, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "f28d9247",
   "metadata": {},
   "outputs": [],
   "source": [
    "meta = XGBClassifier(colsample_bytree=0.4603, gamma=0.0468, \n",
    "                             learning_rate=0.05, max_depth=3, \n",
    "                             min_child_weight=1.7817, n_estimators=2200,\n",
    "                             reg_alpha=0.4640, reg_lambda=0.8571,\n",
    "                             subsample=0.5213, random_state =42, nthread = -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "618fd942",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = [('gbc', gbc_model), ('rf', rfc_model), ('svc', svc_model), ('ada', ada_model)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "f7204e42",
   "metadata": {},
   "outputs": [],
   "source": [
    "stacking_clf = StackingClassifier(models, meta, cv=skf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "51ca8157",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "StackingClassifier(cv=StratifiedKFold(n_splits=5,\n",
       "        random_state=RandomState(MT19937) at 0x7FEF3699D9E0, shuffle=False),\n",
       "                   estimators=[('gbc',\n",
       "                                GradientBoostingClassifier(learning_rate=0.05,\n",
       "                                                           random_state=42,\n",
       "                                                           subsample=0.618)),\n",
       "                               ('rf',\n",
       "                                RandomForestClassifier(max_depth=7,\n",
       "                                                       n_estimators=500,\n",
       "                                                       random_state=42)),\n",
       "                               ('svc',\n",
       "                                SVC(C=100, gamma=0.0001, random_state=42)),\n",
       "                               ('ada',\n",
       "                                AdaBoo...\n",
       "                                                 interaction_constraints=None,\n",
       "                                                 learning_rate=0.05,\n",
       "                                                 max_delta_step=None,\n",
       "                                                 max_depth=3,\n",
       "                                                 min_child_weight=1.7817,\n",
       "                                                 missing=nan,\n",
       "                                                 monotone_constraints=None,\n",
       "                                                 n_estimators=2200, n_jobs=None,\n",
       "                                                 nthread=-1,\n",
       "                                                 num_parallel_tree=None,\n",
       "                                                 random_state=42,\n",
       "                                                 reg_alpha=0.464,\n",
       "                                                 reg_lambda=0.8571,\n",
       "                                                 scale_pos_weight=None,\n",
       "                                                 subsample=0.5213,\n",
       "                                                 tree_method=None,\n",
       "                                                 validate_parameters=None,\n",
       "                                                 verbosity=None))"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stacking_clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "ba8e1e83",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred2 = stacking_clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "bc7c0f31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7813021702838063"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stacking_clf.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "eaf4a786",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7813021702838063"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test,y_pred2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "c22134b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[781, 102],\n",
       "       [160, 155]])"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(y_test, y_pred2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "9798c056",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.83      0.88      0.86       883\n",
      "           1       0.60      0.49      0.54       315\n",
      "\n",
      "    accuracy                           0.78      1198\n",
      "   macro avg       0.72      0.69      0.70      1198\n",
      "weighted avg       0.77      0.78      0.77      1198\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_pred2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e92b3e0c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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