customer churn prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cb070e4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import necessary library\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import roc_curve, roc_auc_score, auc\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "724b3e4f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
       "\n",
       "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
       "0  No phone service             DSL             No  ...               No   \n",
       "1                No             DSL            Yes  ...              Yes   \n",
       "2                No             DSL            Yes  ...               No   \n",
       "3  No phone service             DSL            Yes  ...              Yes   \n",
       "4                No     Fiber optic             No  ...               No   \n",
       "\n",
       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
       "0          No          No              No  Month-to-month              Yes   \n",
       "1          No          No              No        One year               No   \n",
       "2          No          No              No  Month-to-month              Yes   \n",
       "3         Yes          No              No        One year               No   \n",
       "4          No          No              No  Month-to-month              Yes   \n",
       "\n",
       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
       "0           Electronic check          29.85         29.85    No  \n",
       "1               Mailed check          56.95        1889.5    No  \n",
       "2               Mailed check          53.85        108.15   Yes  \n",
       "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
       "4           Electronic check          70.70        151.65   Yes  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read the dataset\n",
    "df = pd.read_csv('WA_Fn-UseC_-Telco-Customer-Churn.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3cd49d2",
   "metadata": {},
   "source": [
    "## Data Cleansing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7e38cdf1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop customerID column\n",
    "df = df.drop('customerID',axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c639b682",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7043 entries, 0 to 7042\n",
      "Data columns (total 20 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   gender            7043 non-null   object \n",
      " 1   SeniorCitizen     7043 non-null   int64  \n",
      " 2   Partner           7043 non-null   object \n",
      " 3   Dependents        7043 non-null   object \n",
      " 4   tenure            7043 non-null   int64  \n",
      " 5   PhoneService      7043 non-null   object \n",
      " 6   MultipleLines     7043 non-null   object \n",
      " 7   InternetService   7043 non-null   object \n",
      " 8   OnlineSecurity    7043 non-null   object \n",
      " 9   OnlineBackup      7043 non-null   object \n",
      " 10  DeviceProtection  7043 non-null   object \n",
      " 11  TechSupport       7043 non-null   object \n",
      " 12  StreamingTV       7043 non-null   object \n",
      " 13  StreamingMovies   7043 non-null   object \n",
      " 14  Contract          7043 non-null   object \n",
      " 15  PaperlessBilling  7043 non-null   object \n",
      " 16  PaymentMethod     7043 non-null   object \n",
      " 17  MonthlyCharges    7043 non-null   float64\n",
      " 18  TotalCharges      7043 non-null   object \n",
      " 19  Churn             7043 non-null   object \n",
      "dtypes: float64(1), int64(2), object(17)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "# Check dataset infomation\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "751cb8f3",
   "metadata": {},
   "source": [
    "Based the dataset information, 'TotalCharges' data type was object, it should be numeric data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "10b3362b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert the TotalCharge feature data type into numeric data type\n",
    "df['TotalCharges'] = pd.to_numeric(df['TotalCharges'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "affbb59f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TotalCharges        11\n",
       "gender               0\n",
       "SeniorCitizen        0\n",
       "MonthlyCharges       0\n",
       "PaymentMethod        0\n",
       "PaperlessBilling     0\n",
       "Contract             0\n",
       "StreamingMovies      0\n",
       "StreamingTV          0\n",
       "TechSupport          0\n",
       "DeviceProtection     0\n",
       "OnlineBackup         0\n",
       "OnlineSecurity       0\n",
       "InternetService      0\n",
       "MultipleLines        0\n",
       "PhoneService         0\n",
       "tenure               0\n",
       "Dependents           0\n",
       "Partner              0\n",
       "Churn                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the missing value\n",
    "df.isnull().sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bcb02a7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the duplicated data \n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e8d76a95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7043, 20)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "eeca93e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill the missing values with Median of the Total Charges column\n",
    "df['TotalCharges'] = df['TotalCharges'].fillna(df['TotalCharges'].median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0f8854c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
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       "      <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>22</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.15</td>\n",
       "      <td>20.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.20</td>\n",
       "      <td>20.20</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>19.55</td>\n",
       "      <td>19.55</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</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>Mailed check</td>\n",
       "      <td>45.70</td>\n",
       "      <td>45.70</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.05</td>\n",
       "      <td>20.05</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.45</td>\n",
       "      <td>20.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>964</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</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>Mailed check</td>\n",
       "      <td>45.70</td>\n",
       "      <td>45.70</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>69.90</td>\n",
       "      <td>69.90</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1243</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</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>No</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>45.30</td>\n",
       "      <td>45.30</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1338</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.15</td>\n",
       "      <td>20.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1491</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>19.55</td>\n",
       "      <td>19.55</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1731</th>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>69.60</td>\n",
       "      <td>69.60</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1739</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>69.90</td>\n",
       "      <td>69.90</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.20</td>\n",
       "      <td>20.20</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2033</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.20</td>\n",
       "      <td>20.20</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2121</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.45</td>\n",
       "      <td>20.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2713</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.45</td>\n",
       "      <td>20.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2892</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.45</td>\n",
       "      <td>20.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3301</th>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>69.60</td>\n",
       "      <td>69.60</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3312</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.30</td>\n",
       "      <td>20.30</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3499</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.90</td>\n",
       "      <td>20.90</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3679</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.10</td>\n",
       "      <td>20.10</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3754</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.05</td>\n",
       "      <td>20.05</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4098</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.20</td>\n",
       "      <td>20.20</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4476</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.90</td>\n",
       "      <td>20.90</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4495</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>70.10</td>\n",
       "      <td>70.10</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4536</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>69.35</td>\n",
       "      <td>69.35</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4817</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>19.90</td>\n",
       "      <td>19.90</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5170</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>19.65</td>\n",
       "      <td>19.65</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5506</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.20</td>\n",
       "      <td>20.20</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5522</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>Mailed check</td>\n",
       "      <td>70.15</td>\n",
       "      <td>70.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5736</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.05</td>\n",
       "      <td>20.05</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5759</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>Mailed check</td>\n",
       "      <td>70.15</td>\n",
       "      <td>70.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6267</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>70.10</td>\n",
       "      <td>70.10</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6491</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>69.20</td>\n",
       "      <td>69.20</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6499</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.30</td>\n",
       "      <td>20.30</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6518</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</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>No</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>45.30</td>\n",
       "      <td>45.30</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6609</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.10</td>\n",
       "      <td>20.10</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6706</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>19.90</td>\n",
       "      <td>19.90</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6764</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>69.20</td>\n",
       "      <td>69.20</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6774</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</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>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>19.65</td>\n",
       "      <td>19.65</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6924</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</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>69.35</td>\n",
       "      <td>69.35</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
       "22      Male              0      No         No       1          Yes   \n",
       "100     Male              0      No         No       1          Yes   \n",
       "542   Female              0      No         No       1          Yes   \n",
       "646     Male              0      No         No       1          Yes   \n",
       "662     Male              0      No         No       1          Yes   \n",
       "690     Male              0      No         No       1          Yes   \n",
       "964     Male              0      No         No       1          Yes   \n",
       "976     Male              0      No         No       1          Yes   \n",
       "1243    Male              0      No         No       1          Yes   \n",
       "1338    Male              0      No         No       1          Yes   \n",
       "1491  Female              0      No         No       1          Yes   \n",
       "1731  Female              1      No         No       1          Yes   \n",
       "1739    Male              0      No         No       1          Yes   \n",
       "1932    Male              0      No         No       1          Yes   \n",
       "2033    Male              0      No         No       1          Yes   \n",
       "2121    Male              0      No         No       1          Yes   \n",
       "2713    Male              0      No         No       1          Yes   \n",
       "2892    Male              0      No         No       1          Yes   \n",
       "3301  Female              1      No         No       1          Yes   \n",
       "3312    Male              0      No         No       1          Yes   \n",
       "3499  Female              0      No         No       1          Yes   \n",
       "3679    Male              0      No         No       1          Yes   \n",
       "3754    Male              0      No         No       1          Yes   \n",
       "4098    Male              0      No         No       1          Yes   \n",
       "4476  Female              0      No         No       1          Yes   \n",
       "4495  Female              0      No         No       1          Yes   \n",
       "4536    Male              0      No         No       1          Yes   \n",
       "4817  Female              0      No         No       1          Yes   \n",
       "5170  Female              0      No         No       1          Yes   \n",
       "5506    Male              0      No         No       1          Yes   \n",
       "5522  Female              0      No         No       1          Yes   \n",
       "5736    Male              0      No         No       1          Yes   \n",
       "5759  Female              0      No         No       1          Yes   \n",
       "6267  Female              0      No         No       1          Yes   \n",
       "6491  Female              0      No         No       1          Yes   \n",
       "6499    Male              0      No         No       1          Yes   \n",
       "6518    Male              0      No         No       1          Yes   \n",
       "6609    Male              0      No         No       1          Yes   \n",
       "6706  Female              0      No         No       1          Yes   \n",
       "6764  Female              0      No         No       1          Yes   \n",
       "6774  Female              0      No         No       1          Yes   \n",
       "6924    Male              0      No         No       1          Yes   \n",
       "\n",
       "     MultipleLines InternetService       OnlineSecurity         OnlineBackup  \\\n",
       "22              No              No  No internet service  No internet service   \n",
       "100             No              No  No internet service  No internet service   \n",
       "542             No              No  No internet service  No internet service   \n",
       "646             No             DSL                   No                   No   \n",
       "662             No              No  No internet service  No internet service   \n",
       "690             No              No  No internet service  No internet service   \n",
       "964             No             DSL                   No                   No   \n",
       "976             No     Fiber optic                   No                   No   \n",
       "1243            No             DSL                   No                   No   \n",
       "1338            No              No  No internet service  No internet service   \n",
       "1491            No              No  No internet service  No internet service   \n",
       "1731            No     Fiber optic                   No                   No   \n",
       "1739            No     Fiber optic                   No                   No   \n",
       "1932            No              No  No internet service  No internet service   \n",
       "2033            No              No  No internet service  No internet service   \n",
       "2121            No              No  No internet service  No internet service   \n",
       "2713            No              No  No internet service  No internet service   \n",
       "2892            No              No  No internet service  No internet service   \n",
       "3301            No     Fiber optic                   No                   No   \n",
       "3312            No              No  No internet service  No internet service   \n",
       "3499            No              No  No internet service  No internet service   \n",
       "3679            No              No  No internet service  No internet service   \n",
       "3754            No              No  No internet service  No internet service   \n",
       "4098            No              No  No internet service  No internet service   \n",
       "4476            No              No  No internet service  No internet service   \n",
       "4495            No     Fiber optic                   No                   No   \n",
       "4536            No     Fiber optic                   No                   No   \n",
       "4817            No              No  No internet service  No internet service   \n",
       "5170            No              No  No internet service  No internet service   \n",
       "5506            No              No  No internet service  No internet service   \n",
       "5522            No     Fiber optic                   No                   No   \n",
       "5736            No              No  No internet service  No internet service   \n",
       "5759            No     Fiber optic                   No                   No   \n",
       "6267            No     Fiber optic                   No                   No   \n",
       "6491            No     Fiber optic                   No                   No   \n",
       "6499            No              No  No internet service  No internet service   \n",
       "6518            No             DSL                   No                   No   \n",
       "6609            No              No  No internet service  No internet service   \n",
       "6706            No              No  No internet service  No internet service   \n",
       "6764            No     Fiber optic                   No                   No   \n",
       "6774            No              No  No internet service  No internet service   \n",
       "6924            No     Fiber optic                   No                   No   \n",
       "\n",
       "         DeviceProtection          TechSupport          StreamingTV  \\\n",
       "22    No internet service  No internet service  No internet service   \n",
       "100   No internet service  No internet service  No internet service   \n",
       "542   No internet service  No internet service  No internet service   \n",
       "646                    No                   No                   No   \n",
       "662   No internet service  No internet service  No internet service   \n",
       "690   No internet service  No internet service  No internet service   \n",
       "964                    No                   No                   No   \n",
       "976                    No                   No                   No   \n",
       "1243                   No                   No                   No   \n",
       "1338  No internet service  No internet service  No internet service   \n",
       "1491  No internet service  No internet service  No internet service   \n",
       "1731                   No                   No                   No   \n",
       "1739                   No                   No                   No   \n",
       "1932  No internet service  No internet service  No internet service   \n",
       "2033  No internet service  No internet service  No internet service   \n",
       "2121  No internet service  No internet service  No internet service   \n",
       "2713  No internet service  No internet service  No internet service   \n",
       "2892  No internet service  No internet service  No internet service   \n",
       "3301                   No                   No                   No   \n",
       "3312  No internet service  No internet service  No internet service   \n",
       "3499  No internet service  No internet service  No internet service   \n",
       "3679  No internet service  No internet service  No internet service   \n",
       "3754  No internet service  No internet service  No internet service   \n",
       "4098  No internet service  No internet service  No internet service   \n",
       "4476  No internet service  No internet service  No internet service   \n",
       "4495                   No                   No                   No   \n",
       "4536                   No                   No                   No   \n",
       "4817  No internet service  No internet service  No internet service   \n",
       "5170  No internet service  No internet service  No internet service   \n",
       "5506  No internet service  No internet service  No internet service   \n",
       "5522                   No                   No                   No   \n",
       "5736  No internet service  No internet service  No internet service   \n",
       "5759                   No                   No                   No   \n",
       "6267                   No                   No                   No   \n",
       "6491                   No                   No                   No   \n",
       "6499  No internet service  No internet service  No internet service   \n",
       "6518                   No                   No                   No   \n",
       "6609  No internet service  No internet service  No internet service   \n",
       "6706  No internet service  No internet service  No internet service   \n",
       "6764                   No                   No                   No   \n",
       "6774  No internet service  No internet service  No internet service   \n",
       "6924                   No                   No                   No   \n",
       "\n",
       "          StreamingMovies        Contract PaperlessBilling     PaymentMethod  \\\n",
       "22    No internet service  Month-to-month               No      Mailed check   \n",
       "100   No internet service  Month-to-month               No      Mailed check   \n",
       "542   No internet service  Month-to-month               No      Mailed check   \n",
       "646                    No  Month-to-month              Yes      Mailed check   \n",
       "662   No internet service  Month-to-month               No      Mailed check   \n",
       "690   No internet service  Month-to-month              Yes      Mailed check   \n",
       "964                    No  Month-to-month              Yes      Mailed check   \n",
       "976                    No  Month-to-month              Yes  Electronic check   \n",
       "1243                   No  Month-to-month               No  Electronic check   \n",
       "1338  No internet service  Month-to-month               No      Mailed check   \n",
       "1491  No internet service  Month-to-month               No      Mailed check   \n",
       "1731                   No  Month-to-month              Yes  Electronic check   \n",
       "1739                   No  Month-to-month              Yes  Electronic check   \n",
       "1932  No internet service  Month-to-month               No      Mailed check   \n",
       "2033  No internet service  Month-to-month              Yes      Mailed check   \n",
       "2121  No internet service  Month-to-month               No      Mailed check   \n",
       "2713  No internet service  Month-to-month              Yes      Mailed check   \n",
       "2892  No internet service  Month-to-month               No      Mailed check   \n",
       "3301                   No  Month-to-month              Yes  Electronic check   \n",
       "3312  No internet service  Month-to-month               No      Mailed check   \n",
       "3499  No internet service  Month-to-month               No      Mailed check   \n",
       "3679  No internet service  Month-to-month              Yes      Mailed check   \n",
       "3754  No internet service  Month-to-month               No      Mailed check   \n",
       "4098  No internet service  Month-to-month              Yes      Mailed check   \n",
       "4476  No internet service  Month-to-month               No      Mailed check   \n",
       "4495                   No  Month-to-month              Yes  Electronic check   \n",
       "4536                   No  Month-to-month              Yes  Electronic check   \n",
       "4817  No internet service  Month-to-month               No      Mailed check   \n",
       "5170  No internet service  Month-to-month               No      Mailed check   \n",
       "5506  No internet service  Month-to-month               No      Mailed check   \n",
       "5522                   No  Month-to-month              Yes      Mailed check   \n",
       "5736  No internet service  Month-to-month               No      Mailed check   \n",
       "5759                   No  Month-to-month              Yes      Mailed check   \n",
       "6267                   No  Month-to-month              Yes  Electronic check   \n",
       "6491                   No  Month-to-month              Yes  Electronic check   \n",
       "6499  No internet service  Month-to-month               No      Mailed check   \n",
       "6518                   No  Month-to-month               No  Electronic check   \n",
       "6609  No internet service  Month-to-month              Yes      Mailed check   \n",
       "6706  No internet service  Month-to-month               No      Mailed check   \n",
       "6764                   No  Month-to-month              Yes  Electronic check   \n",
       "6774  No internet service  Month-to-month               No      Mailed check   \n",
       "6924                   No  Month-to-month              Yes  Electronic check   \n",
       "\n",
       "      MonthlyCharges  TotalCharges Churn  \n",
       "22             20.15         20.15   Yes  \n",
       "100            20.20         20.20    No  \n",
       "542            19.55         19.55    No  \n",
       "646            45.70         45.70   Yes  \n",
       "662            20.05         20.05    No  \n",
       "690            20.45         20.45    No  \n",
       "964            45.70         45.70   Yes  \n",
       "976            69.90         69.90   Yes  \n",
       "1243           45.30         45.30   Yes  \n",
       "1338           20.15         20.15   Yes  \n",
       "1491           19.55         19.55    No  \n",
       "1731           69.60         69.60   Yes  \n",
       "1739           69.90         69.90   Yes  \n",
       "1932           20.20         20.20    No  \n",
       "2033           20.20         20.20   Yes  \n",
       "2121           20.45         20.45    No  \n",
       "2713           20.45         20.45    No  \n",
       "2892           20.45         20.45    No  \n",
       "3301           69.60         69.60   Yes  \n",
       "3312           20.30         20.30    No  \n",
       "3499           20.90         20.90   Yes  \n",
       "3679           20.10         20.10   Yes  \n",
       "3754           20.05         20.05    No  \n",
       "4098           20.20         20.20   Yes  \n",
       "4476           20.90         20.90   Yes  \n",
       "4495           70.10         70.10   Yes  \n",
       "4536           69.35         69.35   Yes  \n",
       "4817           19.90         19.90    No  \n",
       "5170           19.65         19.65    No  \n",
       "5506           20.20         20.20    No  \n",
       "5522           70.15         70.15   Yes  \n",
       "5736           20.05         20.05    No  \n",
       "5759           70.15         70.15   Yes  \n",
       "6267           70.10         70.10   Yes  \n",
       "6491           69.20         69.20   Yes  \n",
       "6499           20.30         20.30    No  \n",
       "6518           45.30         45.30   Yes  \n",
       "6609           20.10         20.10   Yes  \n",
       "6706           19.90         19.90    No  \n",
       "6764           69.20         69.20   Yes  \n",
       "6774           19.65         19.65    No  \n",
       "6924           69.35         69.35   Yes  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select the data that categorized as duplicated data\n",
    "df[df.duplicated(keep=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2b4e56f8",
   "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>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>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>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.50</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>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>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7038</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>24</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>84.80</td>\n",
       "      <td>1990.50</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>Female</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>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>103.20</td>\n",
       "      <td>7362.90</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>11</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</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>29.60</td>\n",
       "      <td>346.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7041</th>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</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>Mailed check</td>\n",
       "      <td>74.40</td>\n",
       "      <td>306.60</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7042</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>66</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>105.65</td>\n",
       "      <td>6844.50</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7021 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
       "0     Female              0     Yes         No       1           No   \n",
       "1       Male              0      No         No      34          Yes   \n",
       "2       Male              0      No         No       2          Yes   \n",
       "3       Male              0      No         No      45           No   \n",
       "4     Female              0      No         No       2          Yes   \n",
       "...      ...            ...     ...        ...     ...          ...   \n",
       "7038    Male              0     Yes        Yes      24          Yes   \n",
       "7039  Female              0     Yes        Yes      72          Yes   \n",
       "7040  Female              0     Yes        Yes      11           No   \n",
       "7041    Male              1     Yes         No       4          Yes   \n",
       "7042    Male              0      No         No      66          Yes   \n",
       "\n",
       "         MultipleLines InternetService OnlineSecurity OnlineBackup  \\\n",
       "0     No phone service             DSL             No          Yes   \n",
       "1                   No             DSL            Yes           No   \n",
       "2                   No             DSL            Yes          Yes   \n",
       "3     No phone service             DSL            Yes           No   \n",
       "4                   No     Fiber optic             No           No   \n",
       "...                ...             ...            ...          ...   \n",
       "7038               Yes             DSL            Yes           No   \n",
       "7039               Yes     Fiber optic             No          Yes   \n",
       "7040  No phone service             DSL            Yes           No   \n",
       "7041               Yes     Fiber optic             No           No   \n",
       "7042                No     Fiber optic            Yes           No   \n",
       "\n",
       "     DeviceProtection TechSupport StreamingTV StreamingMovies        Contract  \\\n",
       "0                  No          No          No              No  Month-to-month   \n",
       "1                 Yes          No          No              No        One year   \n",
       "2                  No          No          No              No  Month-to-month   \n",
       "3                 Yes         Yes          No              No        One year   \n",
       "4                  No          No          No              No  Month-to-month   \n",
       "...               ...         ...         ...             ...             ...   \n",
       "7038              Yes         Yes         Yes             Yes        One year   \n",
       "7039              Yes          No         Yes             Yes        One year   \n",
       "7040               No          No          No              No  Month-to-month   \n",
       "7041               No          No          No              No  Month-to-month   \n",
       "7042              Yes         Yes         Yes             Yes        Two year   \n",
       "\n",
       "     PaperlessBilling              PaymentMethod  MonthlyCharges  \\\n",
       "0                 Yes           Electronic check           29.85   \n",
       "1                  No               Mailed check           56.95   \n",
       "2                 Yes               Mailed check           53.85   \n",
       "3                  No  Bank transfer (automatic)           42.30   \n",
       "4                 Yes           Electronic check           70.70   \n",
       "...               ...                        ...             ...   \n",
       "7038              Yes               Mailed check           84.80   \n",
       "7039              Yes    Credit card (automatic)          103.20   \n",
       "7040              Yes           Electronic check           29.60   \n",
       "7041              Yes               Mailed check           74.40   \n",
       "7042              Yes  Bank transfer (automatic)          105.65   \n",
       "\n",
       "      TotalCharges Churn  \n",
       "0            29.85    No  \n",
       "1          1889.50    No  \n",
       "2           108.15   Yes  \n",
       "3          1840.75    No  \n",
       "4           151.65   Yes  \n",
       "...            ...   ...  \n",
       "7038       1990.50    No  \n",
       "7039       7362.90    No  \n",
       "7040        346.45    No  \n",
       "7041        306.60   Yes  \n",
       "7042       6844.50    No  \n",
       "\n",
       "[7021 rows x 20 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove the duplicated data\n",
    "df = df.drop_duplicates(keep='first')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83efc2f2",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1f739a62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Churn', ylabel='count'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Countplot of Churn column\n",
    "sns.countplot(data=df,x='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "fd41337e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='gender', ylabel='count'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='gender',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fb3cc88d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='SeniorCitizen', ylabel='count'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='SeniorCitizen',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0d956a60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Partner', ylabel='count'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='Partner',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2899c8aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Dependents', ylabel='count'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='Dependents',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a4f788b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='tenure', ylabel='Count'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=df,x='tenure',hue='Churn',multiple=\"stack\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c8b77b05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tenure</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Churn</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <td>37.640782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</th>\n",
       "      <td>18.088853</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          tenure\n",
       "Churn           \n",
       "No     37.640782\n",
       "Yes    18.088853"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Churn','tenure']].groupby('Churn').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ca3f46c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='PhoneService', ylabel='count'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='PhoneService',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "eea92e4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='MultipleLines', ylabel='count'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='MultipleLines',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "910b30c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='InternetService', ylabel='count'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='InternetService',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "00242b50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='OnlineSecurity', ylabel='count'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='OnlineSecurity',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b1b7efbd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='OnlineBackup', ylabel='count'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='OnlineBackup',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e7d57538",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='DeviceProtection', ylabel='count'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='DeviceProtection',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "afce2615",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='TechSupport', ylabel='count'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEGCAYAAACUzrmNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAeKElEQVR4nO3de5iVZb3/8feHg2AopTKaMroH2WiCsTEmypI2YYma4SFTDAWzrlEvTS1rGz93iu4f+2dbTTdaGioeEkXaiKdKIzO9LA0HJU7qFvE0QYh0UDRJ8Pv747kHl8OaeRYwa60Z5vO6rnXNs77P6TusdfGd+36e574VEZiZmbWlW7UTMDOzjs/FwszMcrlYmJlZLhcLMzPL5WJhZma5elQ7gXLp169f1NXVVTsNM7NOZf78+a9FRE3L+DZbLOrq6mhsbKx2GmZmnYqkl4rF3Q1lZma5XCzMzCyXi4WZmeXaZq9ZmJm1t3feeYempibefvvtaqey1Xr37k1tbS09e/YsaXsXCzOzEjU1NbHjjjtSV1eHpGqns8UigjVr1tDU1MSAAQNK2sfdUGZmJXr77bfZZZddOnWhAJDELrvsslktJBcLM7PN0NkLRbPN/T1cLMzMLFfZioWkPSU9JOlpSUsknZ3iO0uaK+m59HOngn0mSVom6VlJYwriwyUtSuumalsp7Wa2TfvTn/7EuHHjGDhwIIMHD+bwww9n2rRpHHHEEdVObbOV8wL3euDciHhS0o7AfElzgZOBByPiEknfBb4LnCdpMDAOGALsAfxK0j4RsQG4BmgAHgd+DhwK/KK9Eh3+nVva61AVM//SCdVOwczaEBEcffTRTJw4kZkzZwKwYMEC7r333q067vr16+nRo/L3JpWtZRERKyPiybT8BvA00B84Erg5bXYzcFRaPhKYGRHrIuIFYBkwQtLuQN+IeCyyaf1uKdjHzKxDeuihh+jZsyennXbaxtiwYcMYOXIka9eu5dhjj+UjH/kI48ePp3nG0rq6Ol577TUAGhsbGTVqFACTJ0+moaGBQw45hAkTJjB58mROOeUURo0axd57783UqVPL/vtU5JqFpDrgAOD3wG4RsRKyggLsmjbrD7xSsFtTivVPyy3jxc7TIKlRUuPq1avb9XcwM9scixcvZvjw4UXXPfXUU1x55ZUsXbqU5cuX89vf/jb3ePPnz+fuu+/mtttuA+CZZ57hgQceYN68eVx00UW888477Zp/S2UvFpJ2AGYD50TE621tWiQWbcQ3DUZMi4j6iKivqdlk0EQzsw5hxIgR1NbW0q1bN4YNG8aLL76Yu8/YsWPZfvvtN77/whe+QK9evejXrx+77rorq1atKmPGZS4WknqSFYoZEXFnCq9KXUukn6+meBOwZ8HutcCKFK8tEjcz67CGDBnC/Pnzi67r1avXxuXu3buzfv16AHr06MG7774LsMkzEH369CnpGOVSzruhBNwAPB0RPyhYdQ8wMS1PBO4uiI+T1EvSAGAQMC91Vb0h6ZPpmBMK9jEz65BGjx7NunXruO666zbGnnjiCR5++OFW96mrq9tYYGbPnl32HDdHOVsWnwZOAkZLWpBehwOXAJ+X9Bzw+fSeiFgCzAKWAvcDZ6Q7oQBOB64nu+j9PO14J5SZWTlIYs6cOcydO5eBAwcyZMgQJk+ezB577NHqPhdeeCFnn302I0eOpHv37hXMNp+ar8Jva+rr66PUyY9866yZleLpp59mv/32q3Ya7abY7yNpfkTUt9zWT3CbmVkuFwszM8vlYmFmZrlcLMzMLJeLhZmZ5XKxMDOzXJ5W1cxsC7X3bfd5t8RL4lvf+haXX345AJdddhlr165l8uTJ7ZpHMW5ZmJl1Er169eLOO+/cODJtJblYmJl1Ej169KChoYErrrhik3UvvfQSBx98MEOHDuXggw/m5Zdfbtdzu1iYmXUiZ5xxBjNmzOBvf/vb++JnnnkmEyZMYOHChYwfP56zzjqrXc/rYmFm1on07duXCRMmbDLh0WOPPcZXvvIVAE466SQeffTRdj2vi4WZWSdzzjnncMMNN/Dmm2+2uk02SHf7cbEwM+tkdt55Z4477jhuuOGGjbFPfepTG+f6njFjBgcddFC7ntO3zpqZbaFqjv587rnncvXVV298P3XqVE455RQuvfRSampquPHGG9v1fC4WZmadxNq1azcu77bbbrz11lsb39fV1fHrX/+6bOd2N5SZmeVysTAzs1zlnIN7uqRXJS0uiN1RMMXqi5IWpHidpL8XrLu2YJ/hkhZJWiZpqtr7Er+ZmeUq5zWLm4CrgY2Dp0TE8c3Lki4HCp8qeT4ihhU5zjVAA/A48HPgUDwHt5lZRZWtZRERjwB/LrYutQ6OA25v6xiSdgf6RsRjkU0WfgtwVDunamZmOap1zWIksCoiniuIDZD0lKSHJY1Msf5AU8E2TSlWlKQGSY2SGlevXt3+WZuZdVHVunX2BN7fqlgJ7BURayQNB+6SNAQodn0iWjtoREwDpgHU19e3up2ZWXt4+eKPtuvx9rpgUavrIoKRI0dy/vnnc9hhhwEwa9Yspk+fzv3339+ueRRT8WIhqQdwDDC8ORYR64B1aXm+pOeBfchaErUFu9cCKyqXrXV07T2fQCVU80Eu67wkce211/LlL3+Zz372s2zYsIHzzz+/IoUCqtMN9TngmYjY2L0kqUZS97S8NzAIWB4RK4E3JH0yXeeYANxdhZzNzKpu//3354tf/CLf//73ueiiizjxxBOZMmUKH//4xznggAO4++7sv8clS5YwYsQIhg0bxtChQ3nuuedyjpyvbC0LSbcDo4B+kpqACyPiBmAcm17Y/gxwsaT1wAbgtIhovjh+OtmdVduT3QXlO6HMrMu68MIL+djHPsZ2223HEUccwejRo5k+fTp//etfGTFiBJ/73Oe49tprOfvssxk/fjz/+Mc/2LBhw1aft2zFIiJOaCV+cpHYbGB2K9s3Avu3a3JmZp1Unz59OP7449lhhx2YNWsW9957L5dddhkAb7/9Ni+//DIHHnggU6ZMoampiWOOOYZBgwZt9Xk9NpSZWSfTrVs3unXrRkQwe/Zs9t133/et32+//fjEJz7Bz372M8aMGcP111/P6NGjt+6cW7W3mZlVzZgxY7jqqqvIHkODp556CoDly5ez9957c9ZZZzF27FgWLly41edyy8LMbAu1datrJXzve9/jnHPOYejQoUQEdXV13Hfffdxxxx3ceuut9OzZkw9/+MNccMEFW30uFwszs05m8uTJG5d//OMfb7J+0qRJTJo0qV3P6W4oMzPL5WJhZma5XCzMzDZD88Xkzm5zfw8XCzOzEvXu3Zs1a9Z0+oIREaxZs4bevXuXvI8vcJuZlai2tpampia2hVGte/fuTW1tbf6GiYuFmVmJevbsyYABA6qdRlW4G8rMzHK5WJiZWS4XCzMzy+ViYWZmuVwszMwsl4uFmZnlKluxkDRd0quSFhfEJkv6o6QF6XV4wbpJkpZJelbSmIL4cEmL0rqpaXpVMzOroHK2LG4CDi0SvyIihqXXzwEkDSabbnVI2udHzXNyA9cADWTzcg9q5ZhmZlZGZSsWEfEI8OfcDTNHAjMjYl1EvAAsA0ZI2h3oGxGPRfZ8/S3AUWVJ2MzMWlWNaxZnSlqYuql2SrH+wCsF2zSlWP+03DJuZmYVVOlicQ0wEBgGrAQuT/Fi1yGijXhRkhokNUpq3BbGbjEz6ygqWiwiYlVEbIiId4HrgBFpVROwZ8GmtcCKFK8tEm/t+NMioj4i6mtqato3eTOzLqyixSJdg2h2NNB8p9Q9wDhJvSQNILuQPS8iVgJvSPpkugtqAnB3JXM2M7Myjjor6XZgFNBPUhNwITBK0jCyrqQXgVMBImKJpFnAUmA9cEZEbEiHOp3szqrtgV+kl5mZVVDZikVEnFAkfEMb208BphSJNwL7t2NqZma2mfwEt5mZ5fLkR53Uyxd/tNopbJa9LlhU7RTMbCu4ZWFmZrlcLMzMLJe7ocysaoZ/55Zqp7DZ5l86odopVIVbFmZmlsvFwszMcrlYmJlZLhcLMzPL5WJhZma5XCzMzCyXi4WZmeVysTAzs1wuFmZmlsvFwszMcrlYmJlZLhcLMzPLVbZiIWm6pFclLS6IXSrpGUkLJc2R9KEUr5P0d0kL0uvagn2GS1okaZmkqWkubjMzq6BytixuAg5tEZsL7B8RQ4H/BSYVrHs+Ioal12kF8WuABmBQerU8ppmZlVnZikVEPAL8uUXslxGxPr19HKht6xiSdgf6RsRjERHALcBRZUjXzMzaUM1rFqcAvyh4P0DSU5IeljQyxfoDTQXbNKVYUZIaJDVKaly9enX7Z2xm1kVVpVhIOh9YD8xIoZXAXhFxAPAt4DZJfYFi1yeiteNGxLSIqI+I+pqamvZO28ysy6r4THmSJgJHAAenriUiYh2wLi3Pl/Q8sA9ZS6Kwq6oWWFHZjM3MrKItC0mHAucBYyPirYJ4jaTuaXlvsgvZyyNiJfCGpE+mu6AmAHdXMmczMytjy0LS7cAooJ+kJuBCsrufegFz0x2wj6c7nz4DXCxpPbABOC0imi+On052Z9X2ZNc4Cq9zmJlZBZStWETECUXCN7Sy7WxgdivrGoH92zE1MzPbTH6C28zMcrlYmJlZrpKKhaQHS4mZmdm2qc1rFpJ6Ax8gu0i9E+8999AX2KPMuZmZWQeRd4H7VOAcssIwn/eKxevAD8uXlpmZdSRtFouI+G/gvyV9IyKuqlBOZmbWwZR062xEXCXpU0Bd4T4RcUuZ8jIzsw6kpGIh6SfAQGAB2UNzkI3R5GJhZtYFlPpQXj0wuHksJzMz61pKfc5iMfDhciZiZmYdV6kti37AUknzSKPDAkTE2LJkZWZmHUqpxWJyOZMwM7OOrdS7oR4udyJmZtZxlXo31Bu8N0PddkBP4M2I6FuuxMzMrOMotWWxY+F7SUcBI8qRkJmZdTxbNOpsRNwFjG7fVMzMrKMqddTZYwpex0q6hPe6pVrbZ7qkVyUtLojtLGmupOfSz50K1k2StEzSs5LGFMSHS1qU1k1N06uamVkFldqy+GLBawzwBnBkzj43AYe2iH0XeDAiBgEPpvdIGgyMA4akfX7UPCc3cA3QQDYv96AixzQzszIr9ZrFVzf3wBHxiKS6FuEjyeblBrgZ+A1wXorPjIh1wAuSlgEjJL0I9I2IxwAk3QIchefhNjOrqFK7oWolzUndSqskzZZUuwXn2y0iVgKkn7umeH/glYLtmlKsf1puGTczswoqtRvqRuAesnkt+gP3plh7KXYdItqIFz+I1CCpUVLj6tWr2y05M7OurtRiURMRN0bE+vS6CajZgvOtkrQ7QPr5aoo3AXsWbFcLrEjx2iLxoiJiWkTUR0R9Tc2WpGdmZsWUWixek3SipO7pdSKwZgvOdw8wMS1PBO4uiI+T1EvSALIL2fNSV9Ubkj6Z7oKaULCPmZlVSKnF4hTgOOBPwErgWKDNi96SbgceA/aV1CTpa8AlwOclPQd8Pr0nIpYAs4ClwP3AGRHRPG/G6cD1wDLgeXxx28ys4kodSPA/gIkR8RfInpcALiMrIkVFxAmtrDq4le2nAFOKxBuB/UvM08zMyqDUlsXQ5kIBEBF/Bg4oT0pmZtbRlFosurV42npnSm+VmJlZJ1fqf/iXA7+T9D9kt64eR5EuIzMz2zaV+gT3LZIayQYPFHBMRCwta2ZmZtZhlNyVlIqDC4SZWRe0RUOUm5lZ1+JiYWZmuVwszMwsl4uFmZnlcrEwM7NcLhZmZpbLxcLMzHK5WJiZWS4XCzMzy+ViYWZmuVwszMwsl4uFmZnlqnixkLSvpAUFr9clnSNpsqQ/FsQPL9hnkqRlkp6VNKbSOZuZdXUVn8AoIp4FhgFI6g78EZhDNqf3FRFxWeH2kgYD44AhwB7AryTtUzBHt5mZlVm1u6EOBp6PiJfa2OZIYGZErIuIF4BlwIiKZGdmZkD1i8U44PaC92dKWihpesE0rv2BVwq2aUqxTUhqkNQoqXH16tXlydjMrAuqWrGQtB0wFvhpCl0DDCTrolpJNpUrZDPztRTFjhkR0yKiPiLqa2pq2jdhM7MurJoti8OAJyNiFUBErIqIDRHxLnAd73U1NQF7FuxXC6yoaKZmZl1cNYvFCRR0QUnavWDd0cDitHwPME5SL0kDgEHAvIplaWZmlb8bCkDSB4DPA6cWhP9L0jCyLqYXm9dFxBJJs8jm/14PnOE7oczMKqsqxSIi3gJ2aRE7qY3tpwBTyp2XmZkVV+27oczMrBNwsTAzs1wuFmZmlsvFwszMcrlYmJlZLhcLMzPL5WJhZma5XCzMzCyXi4WZmeVysTAzs1wuFmZmlsvFwszMcrlYmJlZLhcLMzPL5WJhZma5XCzMzCyXi4WZmeWqSrGQ9KKkRZIWSGpMsZ0lzZX0XPq5U8H2kyQtk/SspDHVyNnMrCurZsvisxExLCLq0/vvAg9GxCDgwfQeSYOBccAQ4FDgR5K6VyNhM7OuqiN1Qx0J3JyWbwaOKojPjIh1EfECsAwYUfn0zMy6rmoViwB+KWm+pIYU2y0iVgKkn7umeH/glYJ9m1JsE5IaJDVKaly9enWZUjcz63p6VOm8n46IFZJ2BeZKeqaNbVUkFsU2jIhpwDSA+vr6otuYmdnmq0rLIiJWpJ+vAnPIupVWSdodIP18NW3eBOxZsHstsKJy2ZqZWcWLhaQ+knZsXgYOARYD9wAT02YTgbvT8j3AOEm9JA0ABgHzKpu1mVnXVo1uqN2AOZKaz39bRNwv6QlglqSvAS8DXwaIiCWSZgFLgfXAGRGxoQp5m5l1WRUvFhGxHPiXIvE1wMGt7DMFmFLm1MzMrBUd6dZZMzProFwszMwsl4uFmZnlcrEwM7NcLhZmZpbLxcLMzHK5WJiZWS4XCzMzy+ViYWZmuVwszMwsl4uFmZnlcrEwM7NcLhZmZparWjPlmXVZL1/80WqnsNn2umBRtVOwKnPLwszMcrlYmJlZrmpMq7qnpIckPS1piaSzU3yypD9KWpBehxfsM0nSMknPShpT6ZzNzLq6alyzWA+cGxFPprm450uam9ZdERGXFW4saTAwDhgC7AH8StI+nlrVzKxyKt6yiIiVEfFkWn4DeBro38YuRwIzI2JdRLwALANGlD9TMzNrVtVrFpLqgAOA36fQmZIWSpouaacU6w+8UrBbE60UF0kNkholNa5evbpcaZuZdTlVKxaSdgBmA+dExOvANcBAYBiwEri8edMiu0exY0bEtIioj4j6mpqa9k/azKyLqkqxkNSTrFDMiIg7ASJiVURsiIh3get4r6upCdizYPdaYEUl8zUz6+qqcTeUgBuApyPiBwXx3Qs2OxpYnJbvAcZJ6iVpADAImFepfM3MrDp3Q30aOAlYJGlBiv0f4ARJw8i6mF4ETgWIiCWSZgFLye6kOsN3QpmZVVbFi0VEPErx6xA/b2OfKcCUsiVlZmZt8hPcZmaWy8XCzMxyuViYmVkuFwszM8vlYmFmZrlcLMzMLJeLhZmZ5XKxMDOzXC4WZmaWqxrDfZiZdVovX/zRaqewWfa6YFG7HMctCzMzy+ViYWZmuVwszMwsl4uFmZnlcrEwM7NcLhZmZpbLxcLMzHJ1mmIh6VBJz0paJum71c7HzKwr6RTFQlJ34IfAYcBgsvm6B1c3KzOzrqNTFAtgBLAsIpZHxD+AmcCRVc7JzKzLUERUO4dcko4FDo2Ir6f3JwGfiIgzW2zXADSkt/sCz1Y00crqB7xW7SRsi/iz69y29c/vnyKipmWws4wNpSKxTapcREwDppU/neqT1BgR9dXOwzafP7vOrat+fp2lG6oJ2LPgfS2wokq5mJl1OZ2lWDwBDJI0QNJ2wDjgnirnZGbWZXSKbqiIWC/pTOABoDswPSKWVDmtausS3W3bKH92nVuX/Pw6xQVuMzOrrs7SDWVmZlXkYmFmZrlcLDo4SSHp8oL335Y0uYopWQ5lHpV0WEHsOEn3VzOvjmRrv9eSxuYN+yOpTtJXtiLNkkk6WdIelThXOl+9pKmVOh+4WHQG64BjJPWrdiJWmsguBJ4G/EBSb0l9gCnAGdXNrEPZqu91RNwTEZfkbFYHbFaxSEMLbYmTgXYtFpJavQEpIhoj4qz2PF8eF4uObz3Z3RffbLlC0j9JelDSwvRzr8qnZ8VExGLgXuA84ELgVuB8SU9IekrSkQCShkiaJ2lB+hwHVTHtStqq73X6S/7qtHyTpKmSfidpeRrxAeASYGT6t/2mpO6SLk2fwUJJp6b9R0l6SNJtwKL0/jeS/kfSM5JmSFLadrikhyXNl/SApN3T+eqBGelc27fI9SxJS9M5Z6ZYH0nTi3wfTpb0U0n3Ar+UdIekwwuOdZOkL6Uc70uxHSTdKGlROseXUvwQSY9JejIdc4et+cCICL868AtYC/QFXgQ+CHwbmJzW3QtMTMunAHdVO1+/3vfZ9SEbcmYR8P+AE1P8Q8D/pvVXAeNTfDtg+2rnXaF/m636XpP9JX91Wr4J+CnZH7+DycaRAxgF3FewTwPw72m5F9AIDEjbvQkMKNjvb2QP/3YDHgMOAnoCvwNq0nbHk93GD/AboL6V33UF0Kv5s08//7OV78PJZA8h75zWHQ3cXPD9eAXYvvB3A74PXFlwvp3IhiR5BOiTYucBF2zNZ9YpnrPo6iLidUm3AGcBfy9YdSBwTFr+CfBflc7NWhcRb0q6g+w/xuOAL0r6dlrdG9iL7D+i8yXVAndGxHPVybby2vl7fVdEvAsslbRbK9scAgwtaHl8EBgE/AOYFxEvFGw7LyKaACQtIOvS+iuwPzA3NTS6AytLyG0hWavjLuCuglzGFvk+AMyNiD+n5V8AUyX1Ag4FHomIv6fzN/sc2YPKAETEXyQdQVY4f5u23Y7su7bFXCw6jyuBJ4Eb29jGD810PO+ml4AvRUTLwS2flvR74AvAA5K+HhG/rnSSVXQl7fO9XlewXGwsueb4NyLigfcFpVFkLYvWjreB7P9KAUsi4sAS8in0BeAzwFjge5KG0Mr3QdInCnOJiLcl/QYYQ9aSub2V36vlv5HIis4Jm5lrq3zNopNIf2nMAr5WEP4d7/1FMR54tNJ5WckeAL5R0Pd9QPq5N7A8IqaSDWEztHopVl6Zv9dvADsWvH8AOF1STwBJ+6SbD0r1LFAj6cC0f8/0H3+xc5G26QbsGREPAf9G1uW0A618H1oxE/gqMDLt19IvgY0jcEvaCXgc+LSkf06xD0jap/RfdVMuFp3L5WR9kc3OAr4qaSFwEnB2VbKyUvwHWZ/3QkmL03vI/lpcnLo6PgLcUp30qqpc3+uFwHpJf5D0TeB6YCnwZPoMfsxm9K5ENpfOscD3Jf0BWAB8Kq2+Cbi2yAXu7sCtkhYBTwFXRMRfaf37UMwvyVomv0o5tPR/gZ0kLU55fTYiVpNd/7g9/Ts+Tvb92mIe7sPMzHK5ZWFmZrlcLMzMLJeLhZmZ5XKxMDOzXC4WZmaWy8XCuiRJu6TbHBdI+pOkPxa8366E/TeOzVNk3RFpvJ8/pDGBTm3/36A0ko6SNLha57dth5/gti4pItYAwwCUDY29NiIu29rjpge+pgEjIqIpDdNQt7XH3cJcegBHAfeRPV9gtsXcsjBLio0omuL/LOlXqaXwpKSBaZcdtOnIpDuS/RG2BiAi1jUP6ZBGDD224Hxr089Rkh6RNCe1RK5NT/4iaa2ky9N5H5RUk+LDJD2eRhmdk57aRdloqf8p6WGywePGApemFlNz3mabzcXCLCOyEWCPjYjhwHSyOSgAZgA/jIh/IXtit3nwuAOAc8gGbNsb+HQavuIe4CVJt0sa3/wff44RwLnAR4GBvDeQXh/gyYj4GPAw2XDnkD3pfV5EDCUb1fbCgmN9KCL+NSKmpFy+ExHDIuL50v85zN7PxcIs04v3RhRdAPw7UCtpR6B/RMyBbGC3iHgr7TMvIprSaKcLSN1NEfF14GBgHtnQ29NLOP+8iFgeERvIBos7KMXfBe5Iy7cCB0n6IFlBeDjFbyYbDqLZHZi1M1+zMMsUHVFUUt829ik2MikAEbGIbCKdnwAvkI3Ts570B1rqsiq8kN5y3J3WxuEpZXyeliOomm01tyzMMusoMqJoRLwONEk6KsV7SfpAawdRNmvZqILQMOCltPwiMDwtH0k2kFyzEZIGpC6r43lvpNVuZIPXQTZF6KMR8TfgL5JGpvhJZF1UxRQdDdVsc7lYmGXepfURRU8Czkqjd/4O+HAbxxHwb5KeTd1ZF5G1KgCuA/5V0jzgffMWkE1McwmwmKwlMifF3wSGSJoPjAYuTvGJZBeuF5IVpIspbibwnXQrry9w2xbzqLNmVZZaIt+OiCOKrFsbEVs3d7JZO3DLwszMcrllYWZmudyyMDOzXC4WZmaWy8XCzMxyuViYmVkuFwszM8v1/wH/VkV248mLxwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='TechSupport',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4bdd8bae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='StreamingTV', ylabel='count'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='StreamingTV',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4ba299cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='StreamingMovies', ylabel='count'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='StreamingMovies',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c46f91cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Contract', ylabel='count'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEGCAYAAACUzrmNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAarElEQVR4nO3deZiU5Z3u8e/NIriRqOCCrWnDoCOoIYHBuM0ommiM+2jEqKDmDBNHgySac2Q8Sl/OMEejxhPNqEEFNBINM2hcEp04iHpcooIii8tIjJIOiIjRqDmgwG/+eJ/Gsi36qYaurm76/lxXXfW+z7v9qqu773q3pxQRmJmZtaRbrQswM7OOz2FhZmZZDgszM8tyWJiZWZbDwszMsnrUuoBq6du3b9TX19e6DDOzTmXOnDlvRUS/5u2bbFjU19cze/bsWpdhZtapSHq9XLsPQ5mZWZbDwszMshwWZmaWtcmeszAza2sfffQRjY2NrFy5stalbLTevXtTV1dHz549K5rfYWFmVqHGxka23npr6uvrkVTrcjZYRLBixQoaGxvZbbfdKlrGh6HMzCq0cuVKtttuu04dFACS2G677Vq1h+SwMDNrhc4eFE1a+zocFmZmluWwMDOrkjfeeIORI0cyYMAABg0axJFHHsmkSZM46qijal1aq/kENzD0+7fWuoRWm3PFqFqXYGYtiAiOP/54Ro8ezR133AHA3LlzuffeezdqvatXr6ZHj/b/1+2wMDOrglmzZtGzZ0++/e1vr2sbMmQI77zzDjNnzuTEE09kwYIFDB06lNtuuw1J67op6tu3L7Nnz+aCCy7g4YcfpqGhgSVLlvDaa6/Rt29fdt99dxYvXsyrr77K4sWLGTduHGPHjq3q63FYmJlVQVMQlPPcc8+xcOFC+vfvzwEHHMDjjz/OgQce2OL65syZw2OPPcbmm29OQ0MDL730ErNmzeK9995jjz324Oyzz674nokN4XMWZmbtbPjw4dTV1dGtWzeGDBnCa6+9ll3mmGOOYfPNN183/vWvf51evXrRt29ftt9+e5YtW1bFih0WZmZVMXjwYObMmVN2Wq9evdYNd+/endWrVwPQo0cP1q5dC/CpeyC23HLLitZRLQ4LM7MqGDFiBKtWreLGG29c1/bMM8/wyCOPrHeZ+vr6dQEzY8aMqtfYGg4LM7MqkMRdd93Fgw8+yIABAxg8eDANDQ30799/vctMmDCB8847j4MOOoju3bu3Y7V5ioha11AVw4YNi0q//MiXzppZJV588UX23HPPWpfRZsq9HklzImJY83m9Z2FmZlkOCzMzy3JYmJlZlsPCzMyyHBZmZpblsDAzsyz3DWVmtoHa+rL73CXxkvje977HVVddBcCVV17J+++/T0NDQ5vWUY73LMzMOolevXpx55138tZbb7X7tqsWFpJ2kTRL0ouSFko6L7VvK+lBSa+k521KlhkvaZGklyUdXtI+VNL8NO0abSrfa2hm1go9evRgzJgxXH311Z+a9vrrr3PooYeyzz77cOihh7J48eI23XY19yxWA+dHxJ7Al4FzJA0CLgRmRsRAYGYaJ00bCQwGjgCuk9R0v/v1wBhgYHocUcW6zcw6rHPOOYdp06bx7rvvfqL93HPPZdSoUcybN49TTz21zb/fomphERFLI+LZNPwe8CKwM3AscEua7RbguDR8LHBHRKyKiN8Bi4DhknYC+kTEk1H0TXJryTJmZl1Knz59GDVqFNdcc80n2p988km++c1vAnD66afz2GOPtel22+WchaR64IvAU8AOEbEUikABtk+z7Qz8vmSxxtS2cxpu3l5uO2MkzZY0e/ny5W36GszMOopx48Zx880388EHH6x3nrY+Wl/1sJC0FTADGBcRf2pp1jJt0UL7pxsjJkXEsIgY1q9fv9YXa2bWCWy77bZ84xvf4Oabb17Xtv/++6/7ru9p06Zlv3mvtap66ayknhRBMS0i7kzNyyTtFBFL0yGmN1N7I7BLyeJ1wJLUXlem3cyspmrZ+/P555/Pj3/843Xj11xzDWeddRZXXHEF/fr1Y8qUKW26vaqFRbpi6WbgxYj4Ycmke4DRwGXp+e6S9p9J+iHQn+JE9tMRsUbSe5K+THEYaxRwbbXqNjPrqN5///11wzvssAN//vOf143X19fz0EMPVW3b1dyzOAA4HZgvaW5q+0eKkJgu6VvAYuAkgIhYKGk68ALFlVTnRMSatNzZwFRgc+D+9DAzs3ZStbCIiMcof74B4ND1LDMRmFimfTawV9tVZ2ZmreE7uM3MLMthYWZmWQ4LMzPLcliYmVmWuyg3M9tAiy/du03Xt+sl89c7LSI46KCDuOiii/ja174GwPTp05k8eTIPPPBAm9ZRjsPCzKwTkMQNN9zASSedxCGHHMKaNWu46KKL2iUowGFhZtZp7LXXXhx99NFcfvnlfPDBB5x22mlMnDiR+fPns3r1ahoaGjj22GNZuHAhZ555Jh9++CFr165lxowZDBw4cKO27bAwM+tEJkyYwJe+9CU222wzjjrqKEaMGMHkyZN55513GD58OIcddhg33HAD5513Hqeeeioffvgha9asya84w2FhZtaJbLnllpx88slstdVWTJ8+nXvvvZcrr7wSgJUrV7J48WL2228/Jk6cSGNjIyeccMJG71WAw8LMrNPp1q0b3bp1IyKYMWMGe+yxxyem77nnnuy777788pe/5PDDD+emm25ixIgRG7fNjVrazMxq5vDDD+faa6+l+F44eO655wB49dVX+fznP8/YsWM55phjmDdv3kZvy3sWZmYbqKVLXdvDxRdfzLhx49hnn32ICOrr67nvvvv4+c9/zm233UbPnj3ZcccdueSSSzZ6Ww4LM7NOpqGhYd3wT37yk09NHz9+POPHj2/TbfowlJmZZTkszMwsy2FhZtYKTSeTO7vWvg6HhZlZhXr37s2KFSs6fWBEBCtWrKB3794VL+MT3GZmFaqrq6OxsZHly5fXupSN1rt3b+rq6iqe32FhZlahnj17sttuu9W6jJrwYSgzM8tyWJiZWZbDwszMshwWZmaW5bAwM7Msh4WZmWU5LMzMLMthYWZmWb4pz8xqZuj3b611Ca0254pRtS6hJhwWndTiS/eudQmtUusviTGzjePDUGZmluWwMDOzLIeFmZllOSzMzCzLYWFmZlkOCzMzy3JYmJlZlsPCzMyyHBZmZpZVtbCQNFnSm5IWlLQ1SPqDpLnpcWTJtPGSFkl6WdLhJe1DJc1P066RpGrVbGZm5VVzz2IqcESZ9qsjYkh6/ApA0iBgJDA4LXOdpO5p/uuBMcDA9Ci3TjMzq6KqhUVEPAq8XeHsxwJ3RMSqiPgdsAgYLmknoE9EPBkRAdwKHFeVgs3MbL1qcc7iXEnz0mGqbVLbzsDvS+ZpTG07p+Hm7WVJGiNptqTZy5cvb+u6zcy6rPYOi+uBAcAQYClwVWovdx4iWmgvKyImRcSwiBjWr1+/jSzVzMyatGtYRMSyiFgTEWuBG4HhaVIjsEvJrHXAktReV6bdzMzaUbuGRToH0eR4oOlKqXuAkZJ6SdqN4kT20xGxFHhP0pfTVVCjgLvbs2YzM6vilx9Juh04GOgrqRGYABwsaQjFoaTXgL8HiIiFkqYDLwCrgXMiYk1a1dkUV1ZtDtyfHmZm1o6qFhYRcUqZ5ptbmH8iMLFM+2xgrzYszczMWsl3cJuZWZbDwszMshwWZmaW5bAwM7Msh4WZmWU5LMzMLMthYWZmWQ4LMzPLcliYmVmWw8LMzLIcFmZmluWwMDOzrKp1JGjWHoZ+/9Zal9Bqc64YVesSzFrNexZmZpblsDAzs6yKwkLSzErazMxs09TiOQtJvYEtKL7tbhtAaVIfoH+VazMzsw4id4L774FxFMEwh4/D4k/Av1avLDMz60haDIuI+BHwI0nfiYhr26kmMzPrYCq6dDYirpW0P1BfukxEdL7rFs3MrNUqCgtJPwUGAHOBNak5AIeFmVkXUOlNecOAQRER1SzGzMw6pkrvs1gA7FjNQszMrOOqdM+iL/CCpKeBVU2NEXFMVaoyM7MOpdKwaKhmEWZm1rFVejXUI9UuxMzMOq5Kr4Z6j+LqJ4DNgJ7ABxHRp1qFmZlZx1HpnsXWpeOSjgOGV6MgMzPreDao19mI+AUwom1LMTOzjqrSw1AnlIx2o7jvwvdcmJl1EZVeDXV0yfBq4DXg2DavxszMOqRKz1mcWe1CzMys46r0y4/qJN0l6U1JyyTNkFRX7eLMzKxjqPQE9xTgHorvtdgZuDe1mZlZF1BpWPSLiCkRsTo9pgL9qliXmZl1IJWGxVuSTpPUPT1OA1ZUszAzM+s4Kg2Ls4BvAG8AS4ETAZ/0NjPrIiq9dPafgNER8UcASdsCV1KEiJmZbeIq3bPYpykoACLibeCLLS0gaXK6empBSdu2kh6U9Ep63qZk2nhJiyS9LOnwkvahkuanaddIUuUvz8zM2kKlYdGt2T/2bcnvlUwFjmjWdiEwMyIGAjPTOJIGASOBwWmZ6yR1T8tcD4wBBqZH83WamVmVVRoWVwFPSPonSZcCTwA/aGmBiHgUeLtZ87HALWn4FuC4kvY7ImJVRPwOWAQMl7QT0Ccinkxf6XpryTJmZtZOKr2D+1ZJsyk6DxRwQkS8sAHb2yEilqZ1LpW0fWrfGfhNyXyNqe2jNNy8vSxJYyj2Qth11103oDwzMyun0hPcpHDYkICoRLnzENFCe1kRMQmYBDBs2DB3dGhm1kY2qIvyjbAsHVoiPb+Z2huBXUrmqwOWpPa6Mu1mZtaO2jss7gFGp+HRwN0l7SMl9ZK0G8WJ7KfTIav3JH05XQU1qmQZMzNrJxUfhmotSbcDBwN9JTUCE4DLgOmSvgUsBk4CiIiFkqZTHOZaDZwTEWvSqs6muLJqc+D+9DAzs3ZUtbCIiFPWM+nQ9cw/EZhYpn02sFcblmZmZq3U3oehzMysE3JYmJlZlsPCzMyyHBZmZpblsDAzsyyHhZmZZTkszMwsy2FhZmZZDgszM8tyWJiZWZbDwszMshwWZmaW5bAwM7Msh4WZmWU5LMzMLMthYWZmWQ4LMzPLcliYmVmWw8LMzLIcFmZmluWwMDOzLIeFmZllOSzMzCzLYWFmZlkOCzMzy3JYmJlZlsPCzMyyHBZmZpblsDAzsyyHhZmZZTkszMwsy2FhZmZZDgszM8tyWJiZWZbDwszMshwWZmaW5bAwM7Msh4WZmWXVJCwkvSZpvqS5kmantm0lPSjplfS8Tcn84yUtkvSypMNrUbOZWVdWyz2LQyJiSEQMS+MXAjMjYiAwM40jaRAwEhgMHAFcJ6l7LQo2M+uqOtJhqGOBW9LwLcBxJe13RMSqiPgdsAgY3v7lmZl1XbUKiwB+LWmOpDGpbYeIWAqQnrdP7TsDvy9ZtjG1fYqkMZJmS5q9fPnyKpVuZtb19KjRdg+IiCWStgcelPRSC/OqTFuUmzEiJgGTAIYNG1Z2HjMza72a7FlExJL0/CZwF8VhpWWSdgJIz2+m2RuBXUoWrwOWtF+1ZmbW7mEhaUtJWzcNA18FFgD3AKPTbKOBu9PwPcBISb0k7QYMBJ5u36rNzLq2WhyG2gG4S1LT9n8WEQ9IegaYLulbwGLgJICIWChpOvACsBo4JyLW1KBuM7Muq93DIiJeBb5Qpn0FcOh6lpkITKxyaWZmth4d6dJZMzProBwWZmaW5bAwM7Msh4WZmWU5LMzMLMthYWZmWQ4LMzPLcliYmVmWw8LMzLIcFmZmluWwMDOzLIeFmZllOSzMzCzLYWFmZlkOCzMzy3JYmJlZlsPCzMyyHBZmZpblsDAzsyyHhZmZZTkszMwsy2FhZmZZDgszM8tyWJiZWZbDwszMsnrUugCzrmbxpXvXuoRW2/WS+bUuwWrMexZmZpblsDAzsyyHhZmZZTkszMwsy2FhZmZZDgszM8tyWJiZWZbDwszMshwWZmaW5bAwM7Msd/dhZtYKna27lrbqqsV7FmZmltVpwkLSEZJelrRI0oW1rsfMrCvpFGEhqTvwr8DXgEHAKZIG1bYqM7Ouo1OEBTAcWBQRr0bEh8AdwLE1rsnMrMtQRNS6hixJJwJHRMT/SOOnA/tGxLnN5hsDjEmjewAvt2uh7asv8Fati7AN4veuc9vU37/PRUS/5o2d5WoolWn7VMpFxCRgUvXLqT1JsyNiWK3rsNbze9e5ddX3r7MchmoEdikZrwOW1KgWM7Mup7OExTPAQEm7SdoMGAncU+OazMy6jE5xGCoiVks6F/gPoDswOSIW1risWusSh9s2UX7vOrcu+f51ihPcZmZWW53lMJSZmdWQw8LMzLIcFushKST9tGS8h6Tlku7bwPV9VtI/lIwfXMm6JNVL+uaGbLMaJB1Xeve8pIclbZKXEUqqk3S3pFck/VbSj9IFFtYJSNpO0tz0eEPSH0rG/T62ksNi/T4A9pK0eRr/CvCHjVjfZ4F/yM1URj3QYcICOI6iy5VNmiQBdwK/iIiBwO7AVsDEmhbWAkmd4oKV9hIRKyJiSEQMAW4Arm4aTz1BdBid4b1zWLTsfuDrafgU4PamCZK2lfQLSfMk/UbSPqm9QdLk9In7VUlj0yKXAQPSp5orUttWkv5d0kuSpqV/UM1dBhyUlvuupN6SpkiaL+k5SYeUK1zSVEnXS5qV6vibVNeLkqaWzHdKWtcCSZeXtL8vaaKk59Pr20HS/sAxwBWpngFp9pMkPS3pvyQd1Nofcgc1AlgZEVMAImIN8F3gLElbSDpD0p2SHkh7Hj9oWlDSVyU9KelZSf8maavSFUsaIOnZkvGBkuak4aGSHpE0R9J/SNoptf+dpGfS+zFD0hapfaqkH0qaBVyOtaRbyc/5C+nowa5p/Lfpff2cpJnp73pm0/Qmkrql97tfyfgiSX0l9UvvzTPpcUCaZ7ikJ9Lf6xOS9kjtZ6Tfj3uBX7frT2JDRIQfZR7A+8A+wL8DvYG5wMHAfWn6tcCENDwCmJuGG4AngF4U3QKsAHpS7CEsKFn/wcC7FDcYdgOeBA4sU8e6babx84EpafgvgcVA7zLLTaXoQ0sU/Wj9Cdg7bWsOMATon5bvR3EZ9UPAcWn5AI5Owz8A/nfJek8s2c7DwFVp+EjgP2v93rXR+z+W4pNo8/bn0u/FGcCrwGfS78frFDeO9gUeBbZM8/8v4JIy65kFDEnD/wJ8J/2ePAH0S+0nU1wmDrBdybL/DHyn5P24D+he659ZR36kv8sLgIVAH+Bcivu3TgU+BzyZ5rsXGJ2Gz6LYs2y+rgnAuDT8VWBGGv5Z098wsCvwYhruA/RIw4eVzH8GxQ3H29b651PJo8Pv+tRSRMyTVE+xV/GrZpMPBP42zfdQOj76mTTtlxGxClgl6U1gh/Vs4umIaASQNJciUB7LlHUgRVARES9Jep3iEMm8MvPeGxEhaT6wLCLmp20tTNv6HPBwRCxP7dOAvwZ+AXxI8U8IinD5Sgs13VkyX32m/s5ClOlSpln7zIh4F0DSCxQ/z89SHKZ7PO0obkbxQaC5m4AzJX2PIhSGU/RnthfwYFq2O7A0zb+XpH9O69+K4p6jJv8WxZ6P5T0BHEDxe/4vwBEU7+n/S9P3A05Iwz+l+KDU3GTgbuD/UgTKlNR+GDCo5ABBH0lbU3yguEXSQIrfnZ4l63owIt7e6FfVDhwWefcAV1J8wt+upL2l/qpWlbStYf0/50/NJ2lf4Cep7RKKPYJS5baLpImkQ2ZRHKMtXf/aZttam2pavZ66AD6K9PEn8xpKt5ObrzNZSPow0ERSH4q9h98CQyn/PoviH8ApmfXPoPiE+hAwJyJWSOoPLIyI/crMP5Vir+95SWdQ/D42+aDC12RFKBxEEex3U+z5BR9/MGquXB90v5e0TNIIYF+KvRMo9tr3i4j/Xzq/pGuBWRFxfPrw+XDJ5E7z3vmcRd5k4NKmT+UlHiX9kkg6GHgrIpr/Yy/1HrB1bmMR8VR8fBLunjLLlW53d4rd3Zcj4qL4+GRepZ4C/iYdb+1OsQf1SGaZil7HJmAmsIWkUbDuO1WuAqZGxJ9bWO43wAGS/iItt0V6nz4hIlZS7B1cz8efTF8G+knaLy3bU9LgNG1rYKmknnz8z8la71HgNOCViFgLvE1x+PTxNP0Jiu6EoPg5r29P/ybgNmB6yV7drykObwEgaUga/AwfXxxzxka/ghpxWGRERGNE/KjMpAZgmKR5FCehR2fWs4Li0MQCfXyCuxLzgNXpxOZ3geuA7unQ0s+BM9Ihr1aLiKXAeIrj588Dz0bE3ZnF7gC+n07WDcjM22mlvarjKU7evwL8F7AS+MfMcssp/iHcnn43fkNxbqmcaRSfXH+dlv0QOBG4XNLzFOfJ9k/zXkwR7g8CL23o6+rqIuK1NPhoen4MeCci/pjGx1IcHpwHnA6ct55V3UNxOHBKSdtY0v+EdFjy26n9B8D/kfQ4xaHFTsndfZjViKQLgM9ExMW1rsVaR8W9RVdHxKZy9V/WpnJ82axTkXQXMIDiSjrrRCRdCJxNFzsc6D0LMzPL8jkLMzPLcliYmVmWw8LMzLIcFmYZknaUdEfqP+gFSb8qd+9EBesZ19SnUxvU1KF6I7ZNn8PCrAUq+m64i6JblAERMYjiXov1deHSknFA2bBIN/21Rj0dqzdi28Q5LMxadghF1yc3NDVExFzgMUlXpJss50s6GdZ9T8nDatabsIreh/sDs1IPsU09+14q6SlgP0mXpN5KF0ialIIKSX8h6T/TjZnPppshP9Ebcfv+SKwr8n0WZi3bi6KDxOZOoOi59wsUPc0+I6npruAvAoOBJRTdSBwQEdekTgMPiYi30nxbUvREfAkUnRFGxKVp+KfAURS9oE4DLouIuyT1pviQdyFwQUQc1dYv2Kwc71mYbZgDgdsjYk1ELKPoU+uv0rSnUzcxaym67KhfzzrWUHQo2OQQSU+lrlxGAINTr6U7R8RdUPQplembyqwqHBZmLVtI0cNsc2V7/00q7XV4ZVMndGmP4TqK7wrZG7iR4nsyWtqOWbtxWJi17CGgl6S/a2qQ9FfAH4GTJXVX8a1pfw08nVlXSz329k7Pb6n4Zr0TAVJPxo2Sjkvb7pWuqOoqvf9aB+GwMGtBSe+zX0mXzi6k6HH4ZxQ9Aj9PESj/MyLeyKxuEnB/0wnuZtt5h2JvYj7Fl089UzL5dGBs6gn1CWBHPt0bsVlVuW8oMzPL8p6FmZllOSzMzCzLYWFmZlkOCzMzy3JYmJlZlsPCzMyyHBZmZpb13zi9fVK7enpMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='Contract',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "21415dad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='PaperlessBilling', ylabel='count'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,x='PaperlessBilling',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3187a769",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='PaymentMethod'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df,y='PaymentMethod',hue='Churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6c36d4e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='MonthlyCharges', ylabel='Count'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=df,x='MonthlyCharges',\n",
    "             hue='Churn',\n",
    "             multiple=\"stack\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "cf8c9e4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='TotalCharges', ylabel='Count'>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEGCAYAAACUzrmNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAfEklEQVR4nO3de5gV1Znv8e+Pi4AXTlTQAA3TaNABPMRLi9fkKJjAqBGTE5VEhYlmSDwkSqJJ5HgScZ6HTJx4cjGOFyLeBkck0QxER6MHLzkmKEIwKqIRRaEFhZCjMXFEwff8UQvYtru79u7uvXdffp/n6WdXvbWqau16mn5ZtarWUkRgZmbWkh61roCZmXV8ThZmZpbLycLMzHI5WZiZWS4nCzMzy9Wr1hWolAEDBkR9fX2tq2Fm1qksX778jxExsGm8yyaL+vp6li1bVutqmJl1KpJeLhb3bSgzM8vlZGFmZrmcLMzMLFeX7bMwM2tv7777Lo2Njbz99tu1rkqb9e3bl7q6Onr37l1SeScLM7MSNTY2sscee1BfX4+kWlen1SKCzZs309jYyPDhw0vax7ehzMxK9Pbbb7P33nt36kQBIIm99967rBaSk4WZWRk6e6LYrtzv4WRhZma5nCzMzCrk1VdfZfLkyey///6MGjWKE088kTlz5nDyySfXumplc7IoYsjQYUgq+WfI0GG1rrKZdTARwac//WmOO+44XnjhBZ555hm++93v8tprr7XpuFu3bm2nGpbHT0MVsb5xHWdc99uSy9/+paMrWBsz64wefPBBevfuzZe//OUdsYMPPpjXX3+dxYsX89nPfpann36aww47jHnz5iFpxzBFAwYMYNmyZVx00UU89NBDzJo1i/Xr1/PSSy8xYMAADjjgANauXcuLL77I2rVrmTFjBueff35Fv4+ThZlZBWxPBMWsWLGClStXMnjwYI455hh+85vfcOyxx7Z4vOXLl/PII4/Qr18/Zs2axbPPPsuDDz7Im2++yYEHHsh5551X8jsTreHbUGZmVTZ27Fjq6uro0aMHBx98MC+99FLuPqeccgr9+vXbsX7SSSfRp08fBgwYwD777NPm21t5KpYsJN0gaaOkp5vEvyrpOUkrJf1zQXympNVp24SC+GGSnkrbrlRXeW7NzLq00aNHs3z58qLb+vTps2O5Z8+eO/ohevXqxXvvvQfwgXcgdtttt5KOUSmVbFncBEwsDEg6HpgEjImI0cAVKT4KmAyMTvtcLaln2u0aYBowIv2875hmZh3RuHHj2LJlCz/96U93xB5//HEefvjhZvepr6/fkWDuuOOOitexHBVLFhHxa+BPTcLnAd+LiC2pzMYUnwTMj4gtEbEGWA2MlTQI6B8RSyIigFuAUytVZzOz9iKJX/ziF9x///3sv//+jB49mlmzZjF48OBm97n00ku54IIL+NjHPkbPnj2bLVcLyv4GV+jgUj1wV0QclNafABaStQ7eBi6KiMclXQU8GhHzUrm5wD3AS2TJ5YQU/xjwrYgo+pCypGlkrRCGDRt22MsvF53Do5R6l/00VCWvo5l1DKtWrWLkyJG1rka7KfZ9JC2PiIamZavdwd0L2BM4EvgGsCD1QRTrh4gW4kVFxJyIaIiIhoEDPzAroJmZtVK1k0UjcGdklgLvAQNSfGhBuTpgfYrXFYmbmVkVVTtZ/DswDkDSAcAuwB+BRcBkSX0kDSfryF4aERuANyUdmVogU8huY5mZWRVV7KU8SbcBxwEDJDUClwI3ADekx2nfAaamjuuVkhYAzwBbgekRsS0d6jyyJ6v6kfVj3FOpOpuZWXEVSxYR8blmNp3VTPnZwOwi8WXAQe1YNTMzK5Pf4DYzs1xOFmZmrVTuCNVtHcFaEhdeeOGO9SuuuIJZs2ZV+FtmPJCgmVkrlTtCdZ68Eaz79OnDnXfeycyZMxkwYEC7nbcUblmYmXUSvXr1Ytq0afzwhz/8wLaXX36Z8ePHM2bMGMaPH8/atWvb9dxOFmZmncj06dO59dZbeeONN94X/8pXvsKUKVN48sknOfPMM9t9fgsnCzOzTqR///5MmTKFK6+88n3xJUuW8PnPfx6As88+m0ceeaRdz+tkYWbWycyYMYO5c+fy17/+tdky7T2bg5OFmVkns9dee3H66aczd+7cHbGjjz6a+fPnA3DrrbfmzrxXLj8NZWbWSoPrhuY+wVTu8Up14YUXctVVV+1Yv/LKKznnnHP4/ve/z8CBA7nxxhvbrV7gZGFm1mqvrGvfJ47y/OUvf9mxvO+++/LWW2/tWK+vr+eBBx6o2Ll9G8rMzHI5WZiZWS4nCzMzy+VkYWZmuZwszMwsl5OFmZnlqliykHSDpI1pVrym2y6SFJIGFMRmSlot6TlJEwrih0l6Km27Uu39WqKZWSvVDx3SrkOU1w8d0uy5IoJjjz2We+7ZOVnoggULmDhxYjW+akXfs7gJuAq4pTAoaSjwCWBtQWwUMBkYDQwG/o+kA9LUqtcA04BHgf8AJuKpVc2sA3i5cT1x40ntdjx94e7mt0lce+21nHbaaRx//PFs27aNSy65hHvvvbfdzt+SirUsIuLXwJ+KbPoh8E0gCmKTgPkRsSUi1gCrgbGSBgH9I2JJmqv7FuDUStXZzKwjO+igg/jUpz7F5ZdfzmWXXcZZZ53F7NmzOfzwwznkkENYuHAhACtXrmTs2LEcfPDBjBkzhueff77N567qG9ySTgFeiYjfN7mbNISs5bBdY4q9m5abxps7/jSyVgjDhrU845SZWWd06aWXcuihh7LLLrtw8sknM27cOG644QZef/11xo4dywknnMC1117LBRdcwJlnnsk777zDtm3b2nzeqiULSbsClwCfLLa5SCxaiBcVEXOAOQANDQ3NljMz66x22203zjjjDHbffXcWLFjAL3/5S6644goA3n77bdauXctRRx3F7NmzaWxs5DOf+QwjRoxo83mr2bLYHxgObG9V1AG/kzSWrMVQOIJWHbA+xeuKxM3Muq0ePXrQo0cPIoI77riDAw888H3bR44cyRFHHMHdd9/NhAkTuP766xk3blzbztmmvcsQEU9FxD4RUR8R9WSJ4NCIeBVYBEyW1EfScGAEsDQiNgBvSjoyPQU1BVhYrTqbmXVkEyZM4Cc/+QlZly6sWLECgBdffJH99tuP888/n1NOOYUnn3yyzeeqWMtC0m3AccAASY3ApRExt1jZiFgpaQHwDLAVmJ6ehAI4j+zJqn5kT0H5SSgz6xD+pm5wi08wteZ45fj2t7/NjBkzGDNmDBFBfX09d911F7fffjvz5s2jd+/efPjDH+Y73/lOm+um7Rmpq2loaIhly5a1al9JnHHdb0suf/uXjqarXkcz22nVqlWMHDmy1tVoN8W+j6TlEdHQtKzf4DYzs1xOFmZmlsvJwsysDF3llnO538PJwsysRH379mXz5s2dPmFEBJs3b6Zv374l7+M5uM3MSlRXV0djYyObNm2qdVXarG/fvtTV1eUXTJwszMxK1Lt3b4YPH17ratSEb0OZmVkuJwszM8vlZGFmZrmcLMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwszM8tVsWQh6QZJGyU9XRD7vqRnJT0p6ReSPlSwbaak1ZKekzShIH6YpKfStivT9KpmZlZFlWxZ3ARMbBK7HzgoIsYAfwBmAkgaBUwGRqd9rpbUM+1zDTCNbF7uEUWOaWZmFVaxZBERvwb+1CR2X0RsTauPAtuHPJwEzI+ILRGxBlgNjJU0COgfEUsiGxP4FuDUStXZzMyKq2WfxTnAPWl5CLCuYFtjig1Jy03jRUmaJmmZpGVdYQhhM7OOoibJQtIlwFbg1u2hIsWihXhRETEnIhoiomHgwIFtr6iZmQE1mM9C0lTgZGB87JxuqhEYWlCsDlif4nVF4mZmVkVVbVlImgh8CzglIt4q2LQImCypj6ThZB3ZSyNiA/CmpCPTU1BTgIXVrLOZmVWwZSHpNuA4YICkRuBSsqef+gD3pydgH42IL0fESkkLgGfIbk9Nj4ht6VDnkT1Z1Y+sj+MezMysqiqWLCLic0XCc1soPxuYXSS+DDioHatmZmZl8hvcZmaWy8nCzMxyOVmYmVkuJwszM8vlZGFmZrmcLMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwszM8vlZGFmZrmcLMzMLJeThZmZ5XKyMDOzXBVLFpJukLRR0tMFsb0k3S/p+fS5Z8G2mZJWS3pO0oSC+GGSnkrbrkzTq5qZWRVVsmVxEzCxSexiYHFEjAAWp3UkjQImA6PTPldL6pn2uQaYRjYv94gixzQzswqrWLKIiF8Df2oSngTcnJZvBk4tiM+PiC0RsQZYDYyVNAjoHxFLIiKAWwr2MTOzKql2n8W+EbEBIH3uk+JDgHUF5RpTbEhabhovStI0ScskLdu0aVO7VtzMrDvrKB3cxfohooV4URExJyIaIqJh4MCB7VY5M7PurtrJ4rV0a4n0uTHFG4GhBeXqgPUpXlckbmZmVVTtZLEImJqWpwILC+KTJfWRNJysI3tpulX1pqQj01NQUwr2MTOzKikpWUg6ppRYk+23AUuAAyU1SjoX+B7wCUnPA59I60TESmAB8AxwLzA9IralQ50HXE/W6f0CcE8pdTYzs/bTq8RyPwEOLSG2Q0R8rplN45spPxuYXSS+DDiotGqamVkltJgsJB0FHA0MlPT1gk39gZ7F9zIzs64mr2WxC7B7KrdHQfzPwGcrVSkzM+tYWkwWEfEw8LCkmyLi5SrVyczMOphS+yz6SJoD1BfuExHjKlEpMzPrWEpNFj8DriV7KmlbTlkzM+tiSk0WWyPimorWxMzMOqxSX8r7paT/IWlQGmZ8L0l7VbRmZmbWYZTastj+1vU3CmIB7Ne+1TEzs46opGQREcMrXREzM+u4SkoWkqYUi0fELe1bHTMz64hKvQ11eMFyX7IhO35HNhmRmZl1caXehvpq4bqk/wL8a0VqZGZmHU5rhyh/i2wYcTMz6wZK7bP4JTtnqOsJjCQbUtzMzLqBUvssrihY3gq8HBGNzRU2M7OupaTbUGlAwWfJRp7dE3inkpUyM7OOpdSZ8k4HlgKnAacDj0lq9RDlkr4maaWkpyXdJqlveiv8fknPp889C8rPlLRa0nOSJrT2vGZm1jqldnBfAhweEVMjYgowFvh2a04oaQhwPtAQEQeR9YFMBi4GFkfECGBxWkfSqLR9NDARuFqSJ14yM6uiUpNFj4jYWLC+uYx9i+kF9JPUC9gVWA9MAm5O228GTk3Lk4D5EbElItaQzcU9tg3nNjOzMpXawX2vpF8Bt6X1M4D/aM0JI+IVSVcAa4H/BO6LiPsk7RsRG1KZDZL2SbsMAR4tOERjin2ApGnANIBhw4a1pnpmZlZEi60DSR+RdExEfAO4DhgDfBRYAsxpzQlTX8QkYDgwGNhN0lkt7VIkFkViRMSciGiIiIaBAwe2pnpmZlZE3q2kHwFvAkTEnRHx9Yj4Glmr4ketPOcJwJqI2BQR7wJ3AkcDr0kaBJA+t9/2agSGFuxfR3bbyszMqiQvWdRHxJNNgxGxjGyK1dZYCxwpaVdJIhtnahWwiJ1DoU8FFqblRcBkSX0kDSd7c3xpK89tZmatkNdn0beFbf1ac8KIeEzSz8kGItwKrCC7pbU7sEDSuWQJ5bRUfqWkBcAzqfz0iPDUrmZmVZSXLB6X9A8R8dPCYPqDvry1J42IS4FLm4S3kLUyipWfDcxu7fnMzKxt8pLFDOAXks5kZ3JoAHYBPl3BepmZWQfSYrKIiNeAoyUdDxyUwndHxAMVr5mZmXUYpc5n8SDwYIXr0mH07L0Lt3/p6LLKm5l1ZaW+lNetbHv3HeLGk0our3N/RfZgV2kG1w3llXVrW1M1M7OacLJoD+9t5Yzrflty8XJaLWZmHUFbxncyM7NuwsnCzMxyOVmYmVkuJwszM8vlZGFmZrmcLMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVmumiQLSR+S9HNJz0paJekoSXtJul/S8+lzz4LyMyWtlvScpAm1qLOZWXdWq5bFj4F7I+JvgY+SzcF9MbA4IkYAi9M6kkYBk4HRwETgakk9a1JrM7NuqurJQlJ/4OPAXICIeCciXgcmATenYjcDp6blScD8iNgSEWuA1cDYatbZzKy7q0XLYj9gE3CjpBWSrpe0G7BvRGwASJ/7pPJDgHUF+zem2AdImiZpmaRlmzZtqtw3MDPrZmqRLHoBhwLXRMQhwF9Jt5yaUWxWoShWMCLmRERDRDQMHDiw7TWtlB69kFTyz5Chw2pdYzPr5mox+VEj0BgRj6X1n5Mli9ckDYqIDZIGARsLyg8t2L8OWF+12laCJ0sys06m6i2LiHgVWCfpwBQaDzwDLAKmpthUYGFaXgRMltRH0nBgBLC0ilU2M+v2ajWt6leBWyXtArwIfIEscS2QdC6wFjgNICJWSlpAllC2AtMjYlttqm1m1j3VJFlExBNAQ5FN45spPxuYXck6mZlZ8/wGd2dQZoe4O8XNrL3V6jaUlaPMDnFwp7iZtS+3LMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwszM8vlZGFmZrmcLMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVmumiULST0lrZB0V1rfS9L9kp5Pn3sWlJ0pabWk5yRNqFWdzcy6q1q2LC4AVhWsXwwsjogRwOK0jqRRwGRgNDARuFpSzyrX1cysW6tJspBUB5wEXF8QngTcnJZvBk4tiM+PiC0RsQZYDYytUlU7rzJn1/PMembWklrNlPcj4JvAHgWxfSNiA0BEbJC0T4oPAR4tKNeYYh8gaRowDWDYsG7+x6/M2fU8s56ZtaTqLQtJJwMbI2J5qbsUiUWxghExJyIaIqJh4MCBra6jmZm9Xy1aFscAp0g6EegL9Jc0D3hN0qDUqhgEbEzlG4GhBfvXAeurWmMzs26u6i2LiJgZEXURUU/Wcf1ARJwFLAKmpmJTgYVpeREwWVIfScOBEcDSKlfbzKxbq1WfRTHfAxZIOhdYC5wGEBErJS0AngG2AtMjYlvtqmlm1v3UNFlExEPAQ2l5MzC+mXKzgdlVq5iZmb2P3+A2M7NcThZmZpbLycLMzHI5WZiZWS4nC8t4eBAza0FHenTWasnDg5hZC9yyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwszM8vlZGFmZrmcLMzMLJeThbWOX+Iz61b8Up61jl/iM+tW3LIwM7NcVU8WkoZKelDSKkkrJV2Q4ntJul/S8+lzz4J9ZkpaLek5SROqXWczs+6uFi2LrcCFETESOBKYLmkUcDGwOCJGAIvTOmnbZGA0MBG4WlLPGtTb2sJ9HGadWtX7LCJiA7AhLb8paRUwBJgEHJeK3Uw23eq3Unx+RGwB1khaDYwFllS35tYm5fZxnPdxJJVcfnDdUF5Zt7Y1NTOzEtS0g1tSPXAI8Biwb0okRMQGSfukYkOARwt2a0yxYsebBkwDGDbM/zPt1CqcXKD8BDNk6DDWN66r2PHNOrKaJQtJuwN3ADMi4s8t/EMvtiGKFYyIOcAcgIaGhqJlKkE9evlpn1orM7lA+U9orW9c5yfArNuqSbKQ1JssUdwaEXem8GuSBqVWxSBgY4o3AkMLdq8D1levtvniva3EjSeVXF5fuLuCtTEza3+1eBpKwFxgVUT8oGDTImBqWp4KLCyIT5bUR9JwYASwtFr1tS6szE73ShsydJgfArAOqxYti2OAs4GnJD2RYv8T+B6wQNK5wFrgNICIWClpAfAM2ZNU0yNiW9VrbV1PpV8sTMmoHB3tNpf7aWy7WjwN9QjF+yEAxjezz2xgdsUqZVYJHTAZlfvH3P00tp2H+6gBd4hbu6hCp37Zykxgbol0Hk4WNeAOcauZVrRGyuIxw7osJwuz7qSj/TF3S6TTcLIws9rpaMnLmuVk0Qm4j8PMas3JohMot48D3M9hXZRvW9WMk4WZdR4dcMyw7sLJwsy6ro74eHEn5WTRRbmfw6yVfKurKCeLLsrvcpi1kudeKcrJwlrHLRezTDd5/NfJwlqnzJZLj3N/1Wn/kZiZk4UlZfdx9CjvV6fc22JOLtZlddI+EScLAzpeH0dHq49Zu+mkt62cLKxL8NNfZpXlZGFdQmveci/7VlcrbtVVtLxZFXWaZCFpIvBjoCdwfUR8r8ZVsk6uNbe6OlL5VvXrdLSE5wSZr4P0cXSKZCGpJ/AvwCeARuBxSYsi4pna1sysdlo7ZlhHSngVT5CtSUYdLYF1kD6OTpEsgLHA6oh4EUDSfGAS2bzcZtZNVLo12Jp9usuTe4qIWtchl6TPAhMj4otp/WzgiIj4SpNy04BpafVA4LlWnG4A8Mc2VLcr87UpztelOF+X4jr6dfmbiBjYNNhZWhbFbth9IMtFxBxgTptOJC2LiIa2HKOr8rUpztelOF+X4jrrdelR6wqUqBEYWrBeB6yvUV3MzLqdzpIsHgdGSBouaRdgMrCoxnUyM+s2OsVtqIjYKukrwK/IHp29ISJWVuh0bbqN1cX52hTn61Kcr0txnfK6dIoObjMzq63OchvKzMxqyMnCzMxyOVkUkDRR0nOSVku6uNb1qTRJQyU9KGmVpJWSLkjxvSTdL+n59LlnwT4z0/V5TtKEgvhhkp5K265UOeMTdECSekpaIemutN7trwmApA9J+rmkZ9PvzVG+NiDpa+nf0NOSbpPUt8tdl4jwT9Zv0xN4AdgP2AX4PTCq1vWq8HceBByalvcA/gCMAv4ZuDjFLwYuT8uj0nXpAwxP16tn2rYUOIrsnZh7gL+r9fdr47X5OvBvwF1pvdtfk/Sdbga+mJZ3AT7U3a8NMARYA/RL6wuAv+9q18Uti512DCkSEe8A24cU6bIiYkNE/C4tvwmsIvvFn0T2R4H0eWpangTMj4gtEbEGWA2MlTQI6B8RSyL7jb+lYJ9OR1IdcBJwfUG4W18TAEn9gY8DcwEi4p2IeB1fG8ieLO0nqRewK9l7YF3qujhZ7DQEWFew3phi3YKkeuAQ4DFg34jYAFlCAfZJxZq7RkPSctN4Z/Uj4JvAewWx7n5NIGt1bwJuTLforpe0G9382kTEK8AVwFpgA/BGRNxHF7suThY7lTSkSFckaXfgDmBGRPy5paJFYtFCvNORdDKwMSKWl7pLkViXuiYFegGHAtdExCHAX8lurzSnW1yb1BcxieyW0mBgN0lntbRLkViHvy5OFjt1yyFFJPUmSxS3RsSdKfxaahKTPjemeHPXqDEtN413RscAp0h6iexW5DhJ8+je12S7RqAxIh5L6z8nSx7d/dqcAKyJiE0R8S5wJ3A0Xey6OFns1O2GFElPWswFVkXEDwo2LQKmpuWpwMKC+GRJfSQNB0YAS1MT+01JR6ZjTinYp1OJiJkRURcR9WS/Aw9ExFl042uyXUS8CqyTdGAKjSebJqC7X5u1wJGSdk3fZzxZ/1/Xui617mHvSD/AiWRPBL0AXFLr+lTh+x5L1sx9Engi/ZwI7A0sBp5Pn3sV7HNJuj7PUfCkBtAAPJ22XUUaHaAz/wDHsfNpKF+T7DsdDCxLvzP/DuzpaxMAlwHPpu/0r2RPOnWp6+LhPszMLJdvQ5mZWS4nCzMzy+VkYWZmuZwszMwsl5OFmZnlcrKwbkfS3pKeSD+vSnqlYH2XJmVnSNq1hGM+JKkhLe8u6TpJL6SRSH8t6QhJ9ZKertT3MqukTjGtqll7iojNZO8LIGkW8JeIuKKZ4jOAecBbZZzierJRSEdExHuS9gNGAq+1ssoASOoVEVvbcgyz1nLLwgyQND4NjveUpBvS27Xnk43186CkB1O5ayQtSy2Gy4ocZ3/gCOB/RcR7AJGNZHx3KtJT0k/T/vdJ6pf2+wdJj0v6vaQ7trdmJN0k6Qfp/JdL2l/So6nsP0r6S8G5v5HiT26vm6TdJN2djvu0pDMqdxWtK3OyMIO+wE3AGRHxX8la3OdFxJVkY/McHxHHp7KXREQDMAb4b5LGNDnWaOCJiNjWzLlGAP8SEaOB14H/nuJ3RsThEfFRsqEizi3Y5wDghIi4EPgx8OOIOJyCcYMkfTIdeyxZq+kwSR8HJgLrI+KjEXEQcG8Z18VsBycLs2ziqzUR8Ye0fjPZvA3FnC7pd8AKssQwqsxzrYmIJ9LycqA+LR8k6f9Kego4Mx17u58VJJ+jgJ+l5X8rKPPJ9LMC+B3wt2TJ4yngBEmXS/pYRLxRZn3NAPdZmEE21HauNOjbRcDhEfH/JN1E1ioptBL4qKQe229DNbGlYHkb0C8t3wScGhG/l/T3ZONSlVM/Af8UEdcVqfdhZGN+/ZOk+yLiH0s4ntn7uGVhlv3Br5f0kbR+NvBwWn6TbMpZgP5kf7jfkLQv8HdNDxQRL5ANtHdZGjkUSSMk5c26uAewIQ0Zf2YL5R5l562ryQXxXwHnKJubBElDJO0jaTDwVkTMI5ug59CcepgV5ZaFGbwNfAH4mbJpMR8Hrk3b5gD3SNoQEcdLWkHWengR+E0zx/si8L+B1ZLeAjYD38ipw7fJZil8mezW0R7NlJsBzJN0IXA38AZARNwnaSSwJOWovwBnAR8Bvi/pPeBd4LycepgV5VFnzTqR9JTUf0ZESJoMfC4iuvRc8dYxuGVh1rkcBlyVbnG9DpxT2+pYd+GWhZmZ5XIHt5mZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVmu/w9hZMn2JnUpvwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=df,x='TotalCharges',\n",
    "             hue='Churn',\n",
    "             multiple=\"stack\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ebf2a3b4",
   "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>MonthlyCharges</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Churn</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <td>61.344878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</th>\n",
       "      <td>74.604308</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       MonthlyCharges\n",
       "Churn                \n",
       "No          61.344878\n",
       "Yes         74.604308"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Churn','MonthlyCharges']].groupby('Churn').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "739613e6",
   "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>SeniorCitizen</th>\n",
       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7021.000000</td>\n",
       "      <td>7021.000000</td>\n",
       "      <td>7021.000000</td>\n",
       "      <td>7021.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.162512</td>\n",
       "      <td>32.469449</td>\n",
       "      <td>64.851894</td>\n",
       "      <td>2288.954490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.368947</td>\n",
       "      <td>24.534965</td>\n",
       "      <td>30.069001</td>\n",
       "      <td>2265.319449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.250000</td>\n",
       "      <td>18.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.750000</td>\n",
       "      <td>411.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>70.400000</td>\n",
       "      <td>1400.550000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>89.900000</td>\n",
       "      <td>3801.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>118.750000</td>\n",
       "      <td>8684.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       SeniorCitizen       tenure  MonthlyCharges  TotalCharges\n",
       "count    7021.000000  7021.000000     7021.000000   7021.000000\n",
       "mean        0.162512    32.469449       64.851894   2288.954490\n",
       "std         0.368947    24.534965       30.069001   2265.319449\n",
       "min         0.000000     0.000000       18.250000     18.800000\n",
       "25%         0.000000     9.000000       35.750000    411.150000\n",
       "50%         0.000000    29.000000       70.400000   1400.550000\n",
       "75%         0.000000    55.000000       89.900000   3801.700000\n",
       "max         1.000000    72.000000      118.750000   8684.800000"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c84c2aac",
   "metadata": {},
   "source": [
    "## Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a9dad149",
   "metadata": {},
   "outputs": [],
   "source": [
    "le = LabelEncoder()\n",
    "\n",
    "binary_cols = [col for col in df.columns if df[col].dtype not in [int, float]\n",
    "               and df[col].nunique() == 2]\n",
    "\n",
    "def label_encoder(dataframe, binary_col):\n",
    "    labelencoder = LabelEncoder()\n",
    "    dataframe[binary_col] = labelencoder.fit_transform(dataframe[binary_col])\n",
    "    return dataframe\n",
    "\n",
    "\n",
    "for col in binary_cols:\n",
    "    df = label_encoder(df, col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "3bbc0999",
   "metadata": {},
   "outputs": [],
   "source": [
    "def one_hot_encoder(dataframe, categorical_cols, drop_first=True):\n",
    "    dataframe = pd.get_dummies(dataframe, columns=categorical_cols, drop_first=drop_first)\n",
    "    return dataframe\n",
    "\n",
    "ohe_cols = [col for col in df.columns if 30 >= df[col].nunique() > 2]\n",
    "df = one_hot_encoder(df, ohe_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "29feeb80",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1.282728</td>\n",
       "      <td>-1.164135</td>\n",
       "      <td>-0.997328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.062387</td>\n",
       "      <td>-0.262811</td>\n",
       "      <td>-0.176347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1.241967</td>\n",
       "      <td>-0.365914</td>\n",
       "      <td>-0.962760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.510759</td>\n",
       "      <td>-0.750058</td>\n",
       "      <td>-0.197869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1.241967</td>\n",
       "      <td>0.194503</td>\n",
       "      <td>-0.943556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     tenure  MonthlyCharges  TotalCharges\n",
       "0 -1.282728       -1.164135     -0.997328\n",
       "1  0.062387       -0.262811     -0.176347\n",
       "2 -1.241967       -0.365914     -0.962760\n",
       "3  0.510759       -0.750058     -0.197869\n",
       "4 -1.241967        0.194503     -0.943556"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['tenure','MonthlyCharges','TotalCharges']\n",
    "scaler = StandardScaler()\n",
    "df[cols] = scaler.fit_transform(df[cols])\n",
    "df[cols].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "3dec02c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop('Churn',axis=1)\n",
    "y = df['Churn']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "194ddbe9",
   "metadata": {},
   "source": [
    "## Model Building & Hyperparameter Tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "a56fa3f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, \n",
    "                                                    y, \n",
    "                                                    test_size=0.2, \n",
    "                                                    random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "aef3edc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr = LogisticRegression()\n",
    "lr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "a79d4713",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'n_neighbors': 100}\n"
     ]
    }
   ],
   "source": [
    "knn = KNeighborsClassifier()\n",
    "param_knn = {\n",
    "    'n_neighbors': [2,10,100,1000]\n",
    "}\n",
    "grid_search1 = GridSearchCV(knn, param_knn, cv=5)\n",
    " \n",
    "grid_search1.fit(X_train,y_train)\n",
    "print(grid_search1.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "e0b7cb65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GaussianNB()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GaussianNB</label><div class=\"sk-toggleable__content\"><pre>GaussianNB()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "GaussianNB()"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gnb = GaussianNB()\n",
    "gnb.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "629bea3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'max_depth': 30, 'max_features': 'sqrt', 'min_samples_leaf': 100, 'min_samples_split': 5}\n"
     ]
    }
   ],
   "source": [
    "tree_model = DecisionTreeClassifier() \n",
    "param_tree = {\n",
    "    'max_depth': [None, 10, 20, 30, 40, 100, 1000],  # Depth of the tree\n",
    "    'min_samples_split': [2, 5, 10, 100, 1000],  # Minimum samples required to split a node\n",
    "    'min_samples_leaf': [1, 2, 4, 10, 20, 100, 1000],  # Minimum samples required at a leaf node\n",
    "    'max_features': [None, 'sqrt', 'log2']  # Number of features to consider for the best split\n",
    "}\n",
    "grid_search2 = GridSearchCV(tree_model, param_tree, cv=5)\n",
    " \n",
    "grid_search2.fit(X_train,y_train)\n",
    "print(grid_search2.best_params_)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "881cacbb",
   "metadata": {},
   "source": [
    "## Model Evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5fd5ee0",
   "metadata": {},
   "source": [
    "#### Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "d66eecec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.85      0.88      0.86      1053\n",
      "           1       0.60      0.54      0.57       352\n",
      "\n",
      "    accuracy                           0.79      1405\n",
      "   macro avg       0.72      0.71      0.72      1405\n",
      "weighted avg       0.79      0.79      0.79      1405\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = lr.predict(X_test)\n",
    "y_probs = lr.predict_proba(X_test)[:,1]\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "a94e7b98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute ROC curve\n",
    "fpr, tpr, thresholds = roc_curve(y_test, y_probs)\n",
    "\n",
    "# Calculate AUC\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "# Plot ROC curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(fpr, tpr, color='darkorange', lw=2, label=f'ROC curve (AUC = {roc_auc:.2f})')\n",
    "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic (ROC) Curve')\n",
    "plt.legend(loc='lower right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "e9427a75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute the confusion matrix\n",
    "confusion = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "# Create a heatmap for the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(confusion, annot=True, fmt='d', cmap='Blues', cbar=False,\n",
    "            xticklabels=['Predicted 0', 'Predicted 1'],\n",
    "            yticklabels=['True 0', 'True 1'])\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad8f0978",
   "metadata": {},
   "source": [
    "### KNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "f2bce7e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.87      0.87      0.87      1053\n",
      "           1       0.61      0.60      0.61       352\n",
      "\n",
      "    accuracy                           0.81      1405\n",
      "   macro avg       0.74      0.74      0.74      1405\n",
      "weighted avg       0.80      0.81      0.81      1405\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = grid_search1.predict(X_test)\n",
    "y_probs = grid_search1.predict_proba(X_test)[:,1]\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "9ddd1ec5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute ROC curve\n",
    "fpr, tpr, thresholds = roc_curve(y_test, y_probs)\n",
    "\n",
    "# Calculate AUC\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "# Plot ROC curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(fpr, tpr, color='darkorange', lw=2, label=f'ROC curve (AUC = {roc_auc:.2f})')\n",
    "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic (ROC) Curve')\n",
    "plt.legend(loc='lower right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "e17d3cf8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute the confusion matrix\n",
    "confusion = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "# Create a heatmap for the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(confusion, annot=True, fmt='d', cmap='Blues', cbar=False,\n",
    "            xticklabels=['Predicted 0', 'Predicted 1'],\n",
    "            yticklabels=['True 0', 'True 1'])\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63bd8653",
   "metadata": {},
   "source": [
    "### Gaussian Naive Bayes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "af312c8d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.94      0.57      0.71      1053\n",
      "           1       0.41      0.89      0.57       352\n",
      "\n",
      "    accuracy                           0.65      1405\n",
      "   macro avg       0.68      0.73      0.64      1405\n",
      "weighted avg       0.81      0.65      0.68      1405\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = gnb.predict(X_test)\n",
    "y_probs = gnb.predict_proba(X_test)[:,1]\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "b7a051ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute ROC curve\n",
    "fpr, tpr, thresholds = roc_curve(y_test, y_probs)\n",
    "\n",
    "# Calculate AUC\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "# Plot ROC curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(fpr, tpr, color='darkorange', lw=2, label=f'ROC curve (AUC = {roc_auc:.2f})')\n",
    "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic (ROC) Curve')\n",
    "plt.legend(loc='lower right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "1ba678ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute the confusion matrix\n",
    "confusion = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "# Create a heatmap for the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(confusion, annot=True, fmt='d', cmap='Blues', cbar=False,\n",
    "            xticklabels=['Predicted 0', 'Predicted 1'],\n",
    "            yticklabels=['True 0', 'True 1'])\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d93ff85a",
   "metadata": {},
   "source": [
    "### Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "9539ff1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.83      0.89      0.86      1053\n",
      "           1       0.58      0.46      0.51       352\n",
      "\n",
      "    accuracy                           0.78      1405\n",
      "   macro avg       0.70      0.67      0.68      1405\n",
      "weighted avg       0.77      0.78      0.77      1405\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = grid_search2.predict(X_test)\n",
    "y_probs = grid_search2.predict_proba(X_test)[:,1]\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "3c4db140",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute ROC curve\n",
    "fpr, tpr, thresholds = roc_curve(y_test, y_probs)\n",
    "\n",
    "# Calculate AUC\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "# Plot ROC curve\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.plot(fpr, tpr, color='darkorange', lw=2, label=f'ROC curve (AUC = {roc_auc:.2f})')\n",
    "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic (ROC) Curve')\n",
    "plt.legend(loc='lower right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "5b02ae94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute the confusion matrix\n",
    "confusion = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "# Create a heatmap for the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(confusion, annot=True, fmt='d', cmap='Blues', cbar=False,\n",
    "            xticklabels=['Predicted 0', 'Predicted 1'],\n",
    "            yticklabels=['True 0', 'True 1'])\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "0b7f2161",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the model from the pickle file\n",
    "filename = 'finalized_model.h2'\n",
    "pickle.dump(lr, open(filename, 'wb'))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}