Classification_project.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/kojokesse/Customer-Segmentation/blob/master/Classification_project.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XkU7dsNY7VwO"
      },
      "source": [
        "## Title: Predicting Customer Churn - A Machine Learning Approach\n",
        "\n",
        "Description: Customer attrition, also known as customer churn, is a critical challenge faced by businesses. The goal of this project is to develop a predictive model that can identify customers who are likely to churn, allowing the organization to implement targeted retention strategies and reduce customer churn rate. By understanding the key factors that influence customer churn, we aim to provide valuable insights that will help the company make informed decisions to improve customer retention and loyalty"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rpFjqAoa7VwR",
        "outputId": "c8e77054-74c6-42ee-cd78-ff70667a949a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: pyodbc in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (4.0.39)Note: you may need to restart the kernel to use updated packages.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\n",
            "[notice] A new release of pip is available: 23.1.2 -> 23.2.1\n",
            "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Requirement already satisfied: python-dotenv in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (1.0.0)Note: you may need to restart the kernel to use updated packages.\n",
            "\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\n",
            "[notice] A new release of pip is available: 23.1.2 -> 23.2.1\n",
            "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: pandas in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.0.3)Note: you may need to restart the kernel to use updated packages.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\n",
            "[notice] A new release of pip is available: 23.1.2 -> 23.2.1\n",
            "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2023.3)\n",
            "Requirement already satisfied: tzdata>=2022.1 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2023.3)\n",
            "Requirement already satisfied: numpy>=1.21.0 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (1.25.0)\n",
            "Requirement already satisfied: six>=1.5 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n",
            "Requirement already satisfied: sklearn in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (0.0.post5)Note: you may need to restart the kernel to use updated packages.\n",
            "\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\n",
            "[notice] A new release of pip is available: 23.1.2 -> 23.2.1\n",
            "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: openpyxl in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (3.1.2)Note: you may need to restart the kernel to use updated packages.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\n",
            "[notice] A new release of pip is available: 23.1.2 -> 23.2.1\n",
            "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Requirement already satisfied: et-xmlfile in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from openpyxl) (1.1.0)\n",
            "Requirement already satisfied: imblearn in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (0.0)\n",
            "Requirement already satisfied: imbalanced-learn in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from imblearn) (0.11.0)\n",
            "Requirement already satisfied: numpy>=1.17.3 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from imbalanced-learn->imblearn) (1.25.0)\n",
            "Requirement already satisfied: scipy>=1.5.0 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from imbalanced-learn->imblearn) (1.11.1)\n",
            "Requirement already satisfied: scikit-learn>=1.0.2 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from imbalanced-learn->imblearn) (1.3.0)\n",
            "Requirement already satisfied: joblib>=1.1.1 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from imbalanced-learn->imblearn) (1.3.1)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in c:\\users\\anche\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from imbalanced-learn->imblearn) (3.1.0)\n",
            "Note: you may need to restart the kernel to use updated packages.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\n",
            "[notice] A new release of pip is available: 23.1.2 -> 23.2.1\n",
            "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
          ]
        }
      ],
      "source": [
        "#install required packages\n",
        "%pip install pyodbc\n",
        "%pip install python-dotenv\n",
        "%pip install pandas\n",
        "%pip install sklearn\n",
        "%pip install openpyxl\n",
        "%pip install imblearn"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B1wRt_Ss7VwU"
      },
      "source": [
        "## Import all necessary packages"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lWbQVx1_7VwU"
      },
      "outputs": [],
      "source": [
        "\n",
        "import pyodbc #just installed with pip\n",
        "from dotenv import dotenv_values #import the dotenv_values function from the dotenv package\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.preprocessing import StandardScaler\n",
        "from imblearn.over_sampling import SMOTE\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score, confusion_matrix, classification_report\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from imblearn.over_sampling import SMOTE\n",
        "from sklearn.model_selection import train_test_split\n",
        "import openpyxl\n",
        "import pandas as pd\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from imblearn.over_sampling import SMOTE\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import accuracy_score, classification_report\n",
        "from sklearn.model_selection import train_test_split, GridSearchCV\n",
        "\n",
        "import warnings\n",
        "\n",
        "warnings.filterwarnings('ignore')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7FEsMOsn7VwV"
      },
      "source": [
        "### Data Loading\n",
        "First Data Set"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "x5RsqWsi7VwW"
      },
      "outputs": [],
      "source": [
        "# Load environment variables from .env file into a dictionary\n",
        "environment_variables=dotenv_values('.env')\n",
        "\n",
        "# Get the values for the credentials you set in the '.env' file\n",
        "database=environment_variables.get(\"DATABASE\")\n",
        "server=environment_variables.get(\"SERVER\")\n",
        "username=environment_variables.get(\"USERNAME\")\n",
        "password=environment_variables.get(\"PASSWORD\")\n",
        "\n",
        "connection_string=f\"DRIVER={{SQL Server}};SERVER={server};DATABASE={database};UID={username};PWD={password}\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0UoDDjn37VwW"
      },
      "outputs": [],
      "source": [
        "# Use the connect method of the pyodbc library and pass in the connection string.\n",
        "# This will connect to the server and might take a few seconds to be complete.\n",
        "# Check your internet connection if it takes more time than necessary\n",
        "\n",
        "connection=pyodbc.connect(connection_string)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BVHViOX47VwW"
      },
      "outputs": [],
      "source": [
        "# Now the sql query to get the data is what what you see below.\n",
        "# Note that you will not have permissions to insert delete or update this database table.\n",
        "\n",
        "query=\"Select * from dbo.LP2_Telco_churn_first_3000\"\n",
        "data=pd.read_sql(query,connection)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "aAZ9-yjv7VwX",
        "outputId": "e94e2400-5edd-4865-9b7e-72f4e6f69862"
      },
      "outputs": [
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>customerID</th>\n",
              "      <th>gender</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>Partner</th>\n",
              "      <th>Dependents</th>\n",
              "      <th>tenure</th>\n",
              "      <th>PhoneService</th>\n",
              "      <th>MultipleLines</th>\n",
              "      <th>InternetService</th>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <th>...</th>\n",
              "      <th>DeviceProtection</th>\n",
              "      <th>TechSupport</th>\n",
              "      <th>StreamingTV</th>\n",
              "      <th>StreamingMovies</th>\n",
              "      <th>Contract</th>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <th>PaymentMethod</th>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <th>TotalCharges</th>\n",
              "      <th>Churn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7590-VHVEG</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
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              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>None</td>\n",
              "      <td>DSL</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>True</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>29.850000</td>\n",
              "      <td>29.850000</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5575-GNVDE</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>34</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>DSL</td>\n",
              "      <td>True</td>\n",
              "      <td>...</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>One year</td>\n",
              "      <td>False</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>56.950001</td>\n",
              "      <td>1889.500000</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3668-QPYBK</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>2</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>DSL</td>\n",
              "      <td>True</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>True</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>53.849998</td>\n",
              "      <td>108.150002</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7795-CFOCW</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>45</td>\n",
              "      <td>False</td>\n",
              "      <td>None</td>\n",
              "      <td>DSL</td>\n",
              "      <td>True</td>\n",
              "      <td>...</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>One year</td>\n",
              "      <td>False</td>\n",
              "      <td>Bank transfer (automatic)</td>\n",
              "      <td>42.299999</td>\n",
              "      <td>1840.750000</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9237-HQITU</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>2</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>Fiber optic</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>True</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>70.699997</td>\n",
              "      <td>151.649994</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 21 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   customerID  gender  SeniorCitizen  Partner  Dependents  tenure  \\\n",
              "0  7590-VHVEG  Female          False     True       False       1   \n",
              "1  5575-GNVDE    Male          False    False       False      34   \n",
              "2  3668-QPYBK    Male          False    False       False       2   \n",
              "3  7795-CFOCW    Male          False    False       False      45   \n",
              "4  9237-HQITU  Female          False    False       False       2   \n",
              "\n",
              "   PhoneService MultipleLines InternetService OnlineSecurity  ...  \\\n",
              "0         False          None             DSL          False  ...   \n",
              "1          True         False             DSL           True  ...   \n",
              "2          True         False             DSL           True  ...   \n",
              "3         False          None             DSL           True  ...   \n",
              "4          True         False     Fiber optic          False  ...   \n",
              "\n",
              "  DeviceProtection TechSupport StreamingTV StreamingMovies        Contract  \\\n",
              "0            False       False       False           False  Month-to-month   \n",
              "1             True       False       False           False        One year   \n",
              "2            False       False       False           False  Month-to-month   \n",
              "3             True        True       False           False        One year   \n",
              "4            False       False       False           False  Month-to-month   \n",
              "\n",
              "  PaperlessBilling              PaymentMethod MonthlyCharges  TotalCharges  \\\n",
              "0             True           Electronic check      29.850000     29.850000   \n",
              "1            False               Mailed check      56.950001   1889.500000   \n",
              "2             True               Mailed check      53.849998    108.150002   \n",
              "3            False  Bank transfer (automatic)      42.299999   1840.750000   \n",
              "4             True           Electronic check      70.699997    151.649994   \n",
              "\n",
              "   Churn  \n",
              "0  False  \n",
              "1  False  \n",
              "2   True  \n",
              "3  False  \n",
              "4   True  \n",
              "\n",
              "[5 rows x 21 columns]"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#inspect the first five rows of the first data set\n",
        "data.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_0jnU9Mw7VwY"
      },
      "source": [
        "### Second Data Set"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "El5oZwPA7VwY",
        "outputId": "ea629f16-0ccc-483d-d946-7bb50947b540"
      },
      "outputs": [
        {
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              "      <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",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5600-PDUJF</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>6</td>\n",
              "      <td>Yes</td>\n",
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              "      <td>DSL</td>\n",
              "      <td>No</td>\n",
              "      <td>...</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
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              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Credit card (automatic)</td>\n",
              "      <td>49.50</td>\n",
              "      <td>312.7</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>8292-TYSPY</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>19</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>DSL</td>\n",
              "      <td>No</td>\n",
              "      <td>...</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Credit card (automatic)</td>\n",
              "      <td>55.00</td>\n",
              "      <td>1046.5</td>\n",
              "      <td>Yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0567-XRHCU</td>\n",
              "      <td>Female</td>\n",
              "      <td>0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>69</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>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Two year</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Credit card (automatic)</td>\n",
              "      <td>43.95</td>\n",
              "      <td>2960.1</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1867-BDVFH</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>11</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Fiber optic</td>\n",
              "      <td>No</td>\n",
              "      <td>...</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>74.35</td>\n",
              "      <td>834.2</td>\n",
              "      <td>Yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2067-QYTCF</td>\n",
              "      <td>Female</td>\n",
              "      <td>0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>64</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Fiber optic</td>\n",
              "      <td>No</td>\n",
              "      <td>...</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>111.15</td>\n",
              "      <td>6953.4</td>\n",
              "      <td>No</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  5600-PDUJF    Male              0      No         No       6          Yes   \n",
              "1  8292-TYSPY    Male              0      No         No      19          Yes   \n",
              "2  0567-XRHCU  Female              0     Yes        Yes      69           No   \n",
              "3  1867-BDVFH    Male              0     Yes        Yes      11          Yes   \n",
              "4  2067-QYTCF  Female              0     Yes         No      64          Yes   \n",
              "\n",
              "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
              "0                No             DSL             No  ...               No   \n",
              "1                No             DSL             No  ...              Yes   \n",
              "2  No phone service             DSL            Yes  ...              Yes   \n",
              "3               Yes     Fiber optic             No  ...               No   \n",
              "4               Yes     Fiber optic             No  ...              Yes   \n",
              "\n",
              "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
              "0         Yes          No              No  Month-to-month              Yes   \n",
              "1         Yes          No              No  Month-to-month              Yes   \n",
              "2          No          No             Yes        Two year              Yes   \n",
              "3          No          No              No  Month-to-month              Yes   \n",
              "4         Yes         Yes             Yes  Month-to-month              Yes   \n",
              "\n",
              "             PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
              "0  Credit card (automatic)          49.50         312.7    No  \n",
              "1  Credit card (automatic)          55.00        1046.5   Yes  \n",
              "2  Credit card (automatic)          43.95        2960.1    No  \n",
              "3         Electronic check          74.35         834.2   Yes  \n",
              "4         Electronic check         111.15        6953.4    No  \n",
              "\n",
              "[5 rows x 21 columns]"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#Load the second dataframe and inspect the first five rows\n",
        "data2=pd.read_csv('LP2_Telco-churn-last-2000.csv')\n",
        "data2.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KklqeMHQ7VwZ"
      },
      "source": [
        "### Third Data Set"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9wqhW9wz7VwZ",
        "outputId": "3aded323-4c4e-4e6b-d393-b4d1eb22a5a9"
      },
      "outputs": [
        {
          "data": {
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              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>customerID</th>\n",
              "      <th>gender</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>Partner</th>\n",
              "      <th>Dependents</th>\n",
              "      <th>tenure</th>\n",
              "      <th>PhoneService</th>\n",
              "      <th>MultipleLines</th>\n",
              "      <th>InternetService</th>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <th>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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7613-LLQFO</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>12</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>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>84.45</td>\n",
              "      <td>1059.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4568-TTZRT</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>9</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>20.40</td>\n",
              "      <td>181.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9513-DXHDA</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>27</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>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>One year</td>\n",
              "      <td>No</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>81.70</td>\n",
              "      <td>2212.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2640-PMGFL</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>27</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>Yes</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>79.50</td>\n",
              "      <td>2180.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3801-HMYNL</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</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>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>No</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>89.15</td>\n",
              "      <td>89.15</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   customerID gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
              "0  7613-LLQFO   Male              0      No         No      12          Yes   \n",
              "1  4568-TTZRT   Male              0      No         No       9          Yes   \n",
              "2  9513-DXHDA   Male              0      No         No      27          Yes   \n",
              "3  2640-PMGFL   Male              0      No        Yes      27          Yes   \n",
              "4  3801-HMYNL   Male              0     Yes        Yes       1          Yes   \n",
              "\n",
              "  MultipleLines InternetService       OnlineSecurity         OnlineBackup  \\\n",
              "0           Yes     Fiber optic                   No                   No   \n",
              "1            No              No  No internet service  No internet service   \n",
              "2            No             DSL                  Yes                   No   \n",
              "3           Yes     Fiber optic                   No                   No   \n",
              "4            No     Fiber optic                   No                   No   \n",
              "\n",
              "      DeviceProtection          TechSupport          StreamingTV  \\\n",
              "0                   No                   No                  Yes   \n",
              "1  No internet service  No internet service  No internet service   \n",
              "2                  Yes                  Yes                  Yes   \n",
              "3                   No                  Yes                   No   \n",
              "4                   No                   No                  Yes   \n",
              "\n",
              "       StreamingMovies        Contract PaperlessBilling     PaymentMethod  \\\n",
              "0                   No  Month-to-month              Yes  Electronic check   \n",
              "1  No internet service  Month-to-month               No      Mailed check   \n",
              "2                  Yes        One year               No  Electronic check   \n",
              "3                   No  Month-to-month              Yes  Electronic check   \n",
              "4                  Yes  Month-to-month               No      Mailed check   \n",
              "\n",
              "   MonthlyCharges TotalCharges  \n",
              "0           84.45      1059.55  \n",
              "1           20.40        181.8  \n",
              "2           81.70      2212.55  \n",
              "3           79.50      2180.55  \n",
              "4           89.15        89.15  "
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data3 = pd.read_excel(\"Telco-churn-second-2000.xlsx\")\n",
        "data3.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Hh4HRkYo7Vwa"
      },
      "outputs": [],
      "source": [
        "# You can concatenate this with other DataFrames to get one data set for your work\n",
        "# !!!Concatenation done for data data2 and data3\n",
        "df = pd.concat([data,data2,data3])\n",
        "df.to_csv('aba.csv')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZBsEsRbm7Vwa"
      },
      "source": [
        "## Exploratory Data Analysis\n",
        "\n",
        "In the exploratory data analysis phase, we will perform univariate, bivariate, and multivariate analysis to gain insights into the data. Visualizations such as bar charts, histograms, scatter plots, and correlation matrices will be used to understand the distribution of variables, relationships between features, and their impact on customer churn."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Cn6C0JSY7Vwa",
        "outputId": "d99c02ae-4a3b-4a45-fc43-3cd64c207263"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(3000, 21)"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6nJyT8Lt7Vwb",
        "outputId": "7b0e2f4e-46dc-4e6a-a5c9-fcf87812d11c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(2043, 21)"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data2.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "awidA3xw7Vwb",
        "outputId": "0385e37d-9b96-404c-b7d4-df198e8d53b2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(2000, 20)"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data3.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XM_IQ8wf7Vwc",
        "outputId": "2d9cb725-94f2-40c8-cdce-0e7bb7233122"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(7043, 21)"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PMdHXel77Vwc",
        "outputId": "9eb9abe9-d0f4-4cca-acb4-05c92e7c1c2c"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
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              "      <th>0</th>\n",
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              "    <tr>\n",
              "      <th>customerID</th>\n",
              "      <td>7590-VHVEG</td>\n",
              "      <td>5575-GNVDE</td>\n",
              "      <td>3668-QPYBK</td>\n",
              "      <td>7795-CFOCW</td>\n",
              "      <td>9237-HQITU</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gender</th>\n",
              "      <td>Female</td>\n",
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              "      <td>Male</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Partner</th>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dependents</th>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tenure</th>\n",
              "      <td>1</td>\n",
              "      <td>34</td>\n",
              "      <td>2</td>\n",
              "      <td>45</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PhoneService</th>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MultipleLines</th>\n",
              "      <td>None</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>None</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InternetService</th>\n",
              "      <td>DSL</td>\n",
              "      <td>DSL</td>\n",
              "      <td>DSL</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Fiber optic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OnlineBackup</th>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DeviceProtection</th>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TechSupport</th>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>StreamingTV</th>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>StreamingMovies</th>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Contract</th>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>One year</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>One year</td>\n",
              "      <td>Month-to-month</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PaymentMethod</th>\n",
              "      <td>Electronic check</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>Bank transfer (automatic)</td>\n",
              "      <td>Electronic check</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <td>29.85</td>\n",
              "      <td>56.950001</td>\n",
              "      <td>53.849998</td>\n",
              "      <td>42.299999</td>\n",
              "      <td>70.699997</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TotalCharges</th>\n",
              "      <td>29.85</td>\n",
              "      <td>1889.5</td>\n",
              "      <td>108.150002</td>\n",
              "      <td>1840.75</td>\n",
              "      <td>151.649994</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Churn</th>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                 0             1               2  \\\n",
              "customerID              7590-VHVEG    5575-GNVDE      3668-QPYBK   \n",
              "gender                      Female          Male            Male   \n",
              "SeniorCitizen                False         False           False   \n",
              "Partner                       True         False           False   \n",
              "Dependents                   False         False           False   \n",
              "tenure                           1            34               2   \n",
              "PhoneService                 False          True            True   \n",
              "MultipleLines                 None         False           False   \n",
              "InternetService                DSL           DSL             DSL   \n",
              "OnlineSecurity               False          True            True   \n",
              "OnlineBackup                  True         False            True   \n",
              "DeviceProtection             False          True           False   \n",
              "TechSupport                  False         False           False   \n",
              "StreamingTV                  False         False           False   \n",
              "StreamingMovies              False         False           False   \n",
              "Contract            Month-to-month      One year  Month-to-month   \n",
              "PaperlessBilling              True         False            True   \n",
              "PaymentMethod     Electronic check  Mailed check    Mailed check   \n",
              "MonthlyCharges               29.85     56.950001       53.849998   \n",
              "TotalCharges                 29.85        1889.5      108.150002   \n",
              "Churn                        False         False            True   \n",
              "\n",
              "                                          3                 4  \n",
              "customerID                       7795-CFOCW        9237-HQITU  \n",
              "gender                                 Male            Female  \n",
              "SeniorCitizen                         False             False  \n",
              "Partner                               False             False  \n",
              "Dependents                            False             False  \n",
              "tenure                                   45                 2  \n",
              "PhoneService                          False              True  \n",
              "MultipleLines                          None             False  \n",
              "InternetService                         DSL       Fiber optic  \n",
              "OnlineSecurity                         True             False  \n",
              "OnlineBackup                          False             False  \n",
              "DeviceProtection                       True             False  \n",
              "TechSupport                            True             False  \n",
              "StreamingTV                           False             False  \n",
              "StreamingMovies                       False             False  \n",
              "Contract                           One year    Month-to-month  \n",
              "PaperlessBilling                      False              True  \n",
              "PaymentMethod     Bank transfer (automatic)  Electronic check  \n",
              "MonthlyCharges                    42.299999         70.699997  \n",
              "TotalCharges                        1840.75        151.649994  \n",
              "Churn                                 False              True  "
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#Check the shapes of the dataframes\n",
        "df.head().T"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f5tb5S_s7Vwd"
      },
      "source": [
        "## Hypothesis\n",
        "Customers on month-to-month contracts are more likely to churn compared to those on one-year or two-year contracts.\n",
        "\n",
        "**Questions:**\n",
        "\n",
        "1. Is there a relationship between the type of internet service (DSL, Fiber Optic, No Internet) and customer churn?\n",
        "2. Does the monthly charge amount impact customer churn rate? Are higher monthly charges associated with higher churn?\n",
        "3. Do customers who have additional services like online security, tech support, etc., have lower churn rates?\n",
        "4. Is there a correlation between the tenure (number of months a customer has stayed with the company) and the likelihood of churn? Do customers who have been with the company for a longer time exhibit lower churn rates?\n",
        "5. How does the payment method influence customer churn? Are customers using automatic payment methods (Electronic check, Bank transfer(automatic), Credit card(automatic)) less likely to churn compared to those using manual methods (mailed check)?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JmIgkeq47Vwd"
      },
      "source": [
        "## Potential Data Issues with attempted solutions\n",
        "\n",
        "1. Missing Values: We will check for missing values in the dataset and decide how to handle them. If there are only a few missing values, we may choose to drop those rows. If a significant number of records have missing values, we can consider imputation techniques like mean, median, or mode.\n",
        "\n",
        "2. Data Types: We will ensure that the data types of each column are appropriate for the analysis. Categorical variables should be encoded as numeric values, and continuous variables should remain as numeric.\n",
        "\n",
        "3. Class Imbalance: We need to check for class imbalance in the target variable (Churn). If there is a severe class imbalance, we may need to address it using techniques such as oversampling, undersampling, or using appropriate evaluation metrics.\n",
        "\n",
        "4. Feature Scaling: Some machine learning algorithms may require feature scaling to ensure that all features contribute equally to the model. We will scale the numerical features if necessary.\n",
        "\n",
        "5. Handling Categorical Variables: We will use one-hot encoding to convert categorical variables into a binary form suitable for model training.\n",
        "\n",
        "6. Data Splitting: Before model training, we will split the data into training and testing sets to evaluate the model's performance on unseen data.\n",
        "\n",
        "By addressing these issues during data preprocessing, we can ensure that our dataset is ready for model building and analysis.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mSzwtdS_7Vwd"
      },
      "source": [
        "\n",
        "### Important terminologies:\n",
        "Classifier: An algorithim that is used to map the input data to a specific category.\n",
        "\n",
        "Classification model: The model that predicts the input data given for training.\n",
        "\n",
        "Feature: It is an individual measurable property of the phenomenon being observed.\n",
        "\n",
        "Labels: The characteristics on which the datapoints of a dataset  are categorized."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YWD0EqGT7Vwd",
        "outputId": "fdc6851c-9aad-4d1e-c235-d53c8f619b83"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "customerID           object\n",
              "gender               object\n",
              "SeniorCitizen        object\n",
              "Partner              object\n",
              "Dependents           object\n",
              "tenure                int64\n",
              "PhoneService         object\n",
              "MultipleLines        object\n",
              "InternetService      object\n",
              "OnlineSecurity       object\n",
              "OnlineBackup         object\n",
              "DeviceProtection     object\n",
              "TechSupport          object\n",
              "StreamingTV          object\n",
              "StreamingMovies      object\n",
              "Contract             object\n",
              "PaperlessBilling     object\n",
              "PaymentMethod        object\n",
              "MonthlyCharges      float64\n",
              "TotalCharges         object\n",
              "Churn                object\n",
              "dtype: object"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# We start with Data Types\n",
        "df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4zuQE1CK7Vwe"
      },
      "outputs": [],
      "source": [
        "# We expect Total Charges column be numeric, as it contains the total amount of money the client was charged/\n",
        "# so it should not be an object.\n",
        "total_charges = pd.to_numeric(df.TotalCharges, errors='coerce')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XJ9U4eJx7Vwe"
      },
      "outputs": [],
      "source": [
        "# Currently, the 'Churn' column is categorical, with two values, “yes” and “no”. For binary classification, \\n\n",
        "# all models typically expect a number: 0 for “no” and 1 for “yes.” Let’s convert it to numbers.\n",
        "\n",
        "df.Churn = (df.Churn == 'yes').astype(int)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QWu8IerL7Vwf",
        "outputId": "481dea2b-ec92-40ac-c952-c91c746f91b3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "customerID            0\n",
              "gender                0\n",
              "SeniorCitizen         0\n",
              "Partner               0\n",
              "Dependents            0\n",
              "tenure                0\n",
              "PhoneService          0\n",
              "MultipleLines       269\n",
              "InternetService       0\n",
              "OnlineSecurity      651\n",
              "OnlineBackup        651\n",
              "DeviceProtection    651\n",
              "TechSupport         651\n",
              "StreamingTV         651\n",
              "StreamingMovies     651\n",
              "Contract              0\n",
              "PaperlessBilling      0\n",
              "PaymentMethod         0\n",
              "MonthlyCharges        0\n",
              "TotalCharges          5\n",
              "Churn                 0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Missing Values\n",
        "df.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "K9qd82zY7Vwf",
        "outputId": "1fc8f123-5a7a-49b8-fbbc-09a605ae794f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dtype('int32')"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df['Churn'].dtype"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qfH1Y4ux7Vwf"
      },
      "outputs": [],
      "source": [
        "#Let's start filling in missing values.\n",
        "# From the above TotalCharges column contains missing values of 5. We fill missing values with 0.\n",
        "df.TotalCharges = df.TotalCharges.fillna(0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MldnfNA87Vwg",
        "outputId": "474eb0f1-9d10-4b88-d760-77a864e054f5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "customerID            0\n",
              "gender                0\n",
              "SeniorCitizen         0\n",
              "Partner               0\n",
              "Dependents            0\n",
              "tenure                0\n",
              "PhoneService          0\n",
              "MultipleLines       269\n",
              "InternetService       0\n",
              "OnlineSecurity      651\n",
              "OnlineBackup        651\n",
              "DeviceProtection    651\n",
              "TechSupport         651\n",
              "StreamingTV         651\n",
              "StreamingMovies     651\n",
              "Contract              0\n",
              "PaperlessBilling      0\n",
              "PaymentMethod         0\n",
              "MonthlyCharges        0\n",
              "TotalCharges          0\n",
              "Churn                 0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Missing Values\n",
        "df.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NH7Rby9Z7Vwg"
      },
      "outputs": [],
      "source": [
        "#Filling missing values\n",
        "#calculate mode\n",
        "mode_category = df['MultipleLines'].mode()[0]\n",
        "mode_category = df['OnlineSecurity'].mode()[0]\n",
        "mode_category = df['OnlineBackup'].mode()[0]\n",
        "mode_category = df['DeviceProtection'].mode()[0]\n",
        "mode_category = df['TechSupport'].mode()[0]\n",
        "mode_category = df['StreamingTV'].mode()[0]\n",
        "mode_category = df['StreamingMovies'].mode()[0]\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FhH0pet17Vwg"
      },
      "outputs": [],
      "source": [
        "#Fill in missing values with the mode\n",
        "df['MultipleLines'].fillna(mode_category, inplace=True)\n",
        "df['OnlineSecurity'].fillna(mode_category, inplace=True)\n",
        "df['OnlineBackup'].fillna(mode_category, inplace=True)\n",
        "df['DeviceProtection'].fillna(mode_category, inplace=True)\n",
        "df['TechSupport'].fillna(mode_category, inplace=True)\n",
        "df['StreamingTV'].fillna(mode_category, inplace=True)\n",
        "df['StreamingMovies'].fillna(mode_category, inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9wJ_ydFM7Vwh",
        "outputId": "afa096c3-a824-4648-d611-a15939c3aa8d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "customerID          0\n",
              "gender              0\n",
              "SeniorCitizen       0\n",
              "Partner             0\n",
              "Dependents          0\n",
              "tenure              0\n",
              "PhoneService        0\n",
              "MultipleLines       0\n",
              "InternetService     0\n",
              "OnlineSecurity      0\n",
              "OnlineBackup        0\n",
              "DeviceProtection    0\n",
              "TechSupport         0\n",
              "StreamingTV         0\n",
              "StreamingMovies     0\n",
              "Contract            0\n",
              "PaperlessBilling    0\n",
              "PaymentMethod       0\n",
              "MonthlyCharges      0\n",
              "TotalCharges        0\n",
              "Churn               0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GISjM9Gu7Vwh"
      },
      "outputs": [],
      "source": [
        "numeric_df = df.select_dtypes(include=['float64', 'int64'])\n",
        "correlation_matrix = numeric_df.corr()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "wINqRmjP7Vwi",
        "outputId": "92f8b701-6fcb-4b44-d146-3b1ef32abde9"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>tenure</th>\n",
              "      <th>MonthlyCharges</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>tenure</th>\n",
              "      <td>1.0000</td>\n",
              "      <td>0.2479</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <td>0.2479</td>\n",
              "      <td>1.0000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                tenure  MonthlyCharges\n",
              "tenure          1.0000          0.2479\n",
              "MonthlyCharges  0.2479          1.0000"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "numeric_df.corr()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "m6aJMy8L7Vwi",
        "outputId": "b8b0d61d-d5bc-4b9f-caa1-eb0e5fd115c6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(7043, 21)"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "f5Bapf7Y7Vwi",
        "outputId": "83706fe4-8fea-4a6b-f7ea-47fa7bd57a8e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<bound method NDFrame.describe of       customerID  gender SeniorCitizen Partner Dependents  tenure  \\\n",
              "0     7590-VHVEG  Female         False    True      False       1   \n",
              "1     5575-GNVDE    Male         False   False      False      34   \n",
              "2     3668-QPYBK    Male         False   False      False       2   \n",
              "3     7795-CFOCW    Male         False   False      False      45   \n",
              "4     9237-HQITU  Female         False   False      False       2   \n",
              "...          ...     ...           ...     ...        ...     ...   \n",
              "1995  7912-SYRQT  Female             0      No         No       7   \n",
              "1996  3557-HTYWR  Female             0      No         No      47   \n",
              "1997  4816-JBHOV    Male             1      No         No       2   \n",
              "1998  8920-NAVAY    Male             1      No         No      62   \n",
              "1999  1699-TLDLZ  Female             0     Yes        Yes      16   \n",
              "\n",
              "     PhoneService MultipleLines InternetService       OnlineSecurity  ...  \\\n",
              "0           False            No             DSL                False  ...   \n",
              "1            True         False             DSL                 True  ...   \n",
              "2            True         False             DSL                 True  ...   \n",
              "3           False            No             DSL                 True  ...   \n",
              "4            True         False     Fiber optic                False  ...   \n",
              "...           ...           ...             ...                  ...  ...   \n",
              "1995          Yes           Yes     Fiber optic                   No  ...   \n",
              "1996          Yes           Yes             DSL                  Yes  ...   \n",
              "1997          Yes            No             DSL                   No  ...   \n",
              "1998          Yes           Yes     Fiber optic                   No  ...   \n",
              "1999          Yes            No              No  No internet service  ...   \n",
              "\n",
              "         DeviceProtection          TechSupport          StreamingTV  \\\n",
              "0                   False                False                False   \n",
              "1                    True                False                False   \n",
              "2                   False                False                False   \n",
              "3                    True                 True                False   \n",
              "4                   False                False                False   \n",
              "...                   ...                  ...                  ...   \n",
              "1995                   No                   No                   No   \n",
              "1996                   No                  Yes                   No   \n",
              "1997                   No                   No                   No   \n",
              "1998                  Yes                  Yes                  Yes   \n",
              "1999  No internet service  No internet service  No internet service   \n",
              "\n",
              "          StreamingMovies        Contract PaperlessBilling  \\\n",
              "0                   False  Month-to-month             True   \n",
              "1                   False        One year            False   \n",
              "2                   False  Month-to-month             True   \n",
              "3                   False        One year            False   \n",
              "4                   False  Month-to-month             True   \n",
              "...                   ...             ...              ...   \n",
              "1995                   No  Month-to-month              Yes   \n",
              "1996                  Yes        Two year               No   \n",
              "1997                   No  Month-to-month              Yes   \n",
              "1998                  Yes        One year              Yes   \n",
              "1999  No internet service        Two year               No   \n",
              "\n",
              "                  PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
              "0              Electronic check      29.850000         29.85     0  \n",
              "1                  Mailed check      56.950001        1889.5     0  \n",
              "2                  Mailed check      53.849998    108.150002     0  \n",
              "3     Bank transfer (automatic)      42.299999       1840.75     0  \n",
              "4              Electronic check      70.699997    151.649994     0  \n",
              "...                         ...            ...           ...   ...  \n",
              "1995  Bank transfer (automatic)      75.100000        552.95     0  \n",
              "1996               Mailed check      74.050000        3496.3     0  \n",
              "1997           Electronic check      44.700000          93.7     0  \n",
              "1998  Bank transfer (automatic)     110.750000       7053.35     0  \n",
              "1999               Mailed check      19.700000        301.55     0  \n",
              "\n",
              "[7043 rows x 21 columns]>"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.describe"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3JRiPZIg7Vwj",
        "outputId": "72347597-d16a-4584-8dd9-4eab7fec71de"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "customerID           object\n",
              "gender               object\n",
              "SeniorCitizen        object\n",
              "Partner              object\n",
              "Dependents           object\n",
              "tenure                int64\n",
              "PhoneService         object\n",
              "MultipleLines        object\n",
              "InternetService      object\n",
              "OnlineSecurity       object\n",
              "OnlineBackup         object\n",
              "DeviceProtection     object\n",
              "TechSupport          object\n",
              "StreamingTV          object\n",
              "StreamingMovies      object\n",
              "Contract             object\n",
              "PaperlessBilling     object\n",
              "PaymentMethod        object\n",
              "MonthlyCharges      float64\n",
              "TotalCharges         object\n",
              "Churn                 int32\n",
              "dtype: object"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qnkNbpmj7Vwj",
        "outputId": "e4d513c8-d837-432a-c043-8d1715219448"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "              customerID  gender  SeniorCitizen  Partner  Dependents  tenure  \\\n",
            "0             7590-VHVEG       0              0        1           0       1   \n",
            "1             5575-GNVDE       1              0        0           0      34   \n",
            "2             3668-QPYBK       1              0        0           0       2   \n",
            "3             7795-CFOCW       1              0        0           0      45   \n",
            "4             9237-HQITU       0              0        0           0       2   \n",
            "...                  ...     ...            ...      ...         ...     ...   \n",
            "2995          2209-XADXF       0              0        0           0       1   \n",
            "2996          6620-JDYNW       0              0        0           0      18   \n",
            "2997          1891-FZYSA       1              0        1           0      69   \n",
            "2998          4770-UEZOX       1              0        0           0       2   \n",
            "2999  1A1:U3001038-RQOST       1              0        1           1      19   \n",
            "\n",
            "      PhoneService  MultipleLines  InternetService  OnlineSecurity  ...  \\\n",
            "0                0              2                0               0  ...   \n",
            "1                1              0                0               1  ...   \n",
            "2                1              0                0               1  ...   \n",
            "3                0              2                0               1  ...   \n",
            "4                1              0                1               0  ...   \n",
            "...            ...            ...              ...             ...  ...   \n",
            "2995             0              2                0               0  ...   \n",
            "2996             1              1                0               1  ...   \n",
            "2997             1              1                1               0  ...   \n",
            "2998             1              0                1               0  ...   \n",
            "2999             1              0                2               2  ...   \n",
            "\n",
            "      DeviceProtection  TechSupport  StreamingTV  StreamingMovies  Contract  \\\n",
            "0                    0            0            0                0         0   \n",
            "1                    1            0            0                0         1   \n",
            "2                    0            0            0                0         0   \n",
            "3                    1            1            0                0         1   \n",
            "4                    0            0            0                0         0   \n",
            "...                ...          ...          ...              ...       ...   \n",
            "2995                 0            0            0                0         0   \n",
            "2996                 1            0            0                0         0   \n",
            "2997                 0            0            1                0         0   \n",
            "2998                 0            0            0                0         0   \n",
            "2999                 2            2            2                2         0   \n",
            "\n",
            "      PaperlessBilling  PaymentMethod  MonthlyCharges  TotalCharges  Churn  \n",
            "0                    1              2       29.850000     29.850000  False  \n",
            "1                    0              3       56.950001   1889.500000  False  \n",
            "2                    1              3       53.849998    108.150002   True  \n",
            "3                    0              0       42.299999   1840.750000  False  \n",
            "4                    1              2       70.699997    151.649994   True  \n",
            "...                ...            ...             ...           ...    ...  \n",
            "2995                 0              0       25.250000     25.250000  False  \n",
            "2996                 1              3       60.599998   1156.349976  False  \n",
            "2997                 1              2       89.949997   6143.149902   True  \n",
            "2998                 1              2       74.750000    144.800003  False  \n",
            "2999                 0              3       20.600000    414.950012  False  \n",
            "\n",
            "[3000 rows x 21 columns]\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "\n",
        "df = pd.DataFrame(data)\n",
        "\n",
        "# Feature Engineering Steps\n",
        "\n",
        "# Convert SeniorCitizen to binary numeric (0 or 1)\n",
        "df['SeniorCitizen'] = df['SeniorCitizen'].apply(lambda x: 1 if x == 'Yes' else 0)\n",
        "\n",
        "# Convert categorical columns to numerical using Label Encoding\n",
        "label_encoder = LabelEncoder()\n",
        "categorical_cols = ['gender', 'Partner', 'Dependents', 'PhoneService', 'MultipleLines', 'InternetService',\n",
        "                    'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',\n",
        "                    'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod']\n",
        "for col in categorical_cols:\n",
        "    df[col] = label_encoder.fit_transform(df[col])\n",
        "\n",
        "# Convert TotalCharges to numeric (handling missing values)\n",
        "df['TotalCharges'] = pd.to_numeric(df['TotalCharges'], errors='coerce')\n",
        "df['TotalCharges'].fillna(0, inplace=True)  # Replace missing values with 0\n",
        "\n",
        "# Perform any other feature engineering steps as needed\n",
        "# For example, you could create new features by combining or transforming existing columns.\n",
        "\n",
        "# Now you have an engineered DataFrame\n",
        "print(df)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JNfKOtQM7Vwl",
        "outputId": "d782b8f0-84fb-41fc-808e-328203360047"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "      gender  SeniorCitizen  Partner  Dependents  tenure  PhoneService  \\\n",
            "0          0              0        1           0       1             0   \n",
            "1          1              0        0           0      34             1   \n",
            "2          1              0        0           0       2             1   \n",
            "3          1              0        0           0      45             0   \n",
            "4          0              0        0           0       2             1   \n",
            "...      ...            ...      ...         ...     ...           ...   \n",
            "2995       0              0        0           0       1             0   \n",
            "2996       0              0        0           0      18             1   \n",
            "2997       1              0        1           0      69             1   \n",
            "2998       1              0        0           0       2             1   \n",
            "2999       1              0        1           1      19             1   \n",
            "\n",
            "      MultipleLines  InternetService  OnlineSecurity  OnlineBackup  \\\n",
            "0                 2                0               0             1   \n",
            "1                 0                0               1             0   \n",
            "2                 0                0               1             1   \n",
            "3                 2                0               1             0   \n",
            "4                 0                1               0             0   \n",
            "...             ...              ...             ...           ...   \n",
            "2995              2                0               0             0   \n",
            "2996              1                0               1             0   \n",
            "2997              1                1               0             1   \n",
            "2998              0                1               0             1   \n",
            "2999              0                2               2             2   \n",
            "\n",
            "      DeviceProtection  TechSupport  StreamingTV  StreamingMovies  Contract  \\\n",
            "0                    0            0            0                0         0   \n",
            "1                    1            0            0                0         1   \n",
            "2                    0            0            0                0         0   \n",
            "3                    1            1            0                0         1   \n",
            "4                    0            0            0                0         0   \n",
            "...                ...          ...          ...              ...       ...   \n",
            "2995                 0            0            0                0         0   \n",
            "2996                 1            0            0                0         0   \n",
            "2997                 0            0            1                0         0   \n",
            "2998                 0            0            0                0         0   \n",
            "2999                 2            2            2                2         0   \n",
            "\n",
            "      PaperlessBilling  PaymentMethod  MonthlyCharges  TotalCharges  Churn  \n",
            "0                    1              2       29.850000     29.850000  False  \n",
            "1                    0              3       56.950001   1889.500000  False  \n",
            "2                    1              3       53.849998    108.150002   True  \n",
            "3                    0              0       42.299999   1840.750000  False  \n",
            "4                    1              2       70.699997    151.649994   True  \n",
            "...                ...            ...             ...           ...    ...  \n",
            "2995                 0              0       25.250000     25.250000  False  \n",
            "2996                 1              3       60.599998   1156.349976  False  \n",
            "2997                 1              2       89.949997   6143.149902   True  \n",
            "2998                 1              2       74.750000    144.800003  False  \n",
            "2999                 0              3       20.600000    414.950012  False  \n",
            "\n",
            "[3000 rows x 20 columns]\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "\n",
        "column_to_drop = 'customerID'\n",
        "df1 = df.drop(columns=[column_to_drop])\n",
        "\n",
        "\n",
        "print(df1)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PyQ0-F2r7Vwl",
        "outputId": "10f87002-7f82-4ca9-9e7b-0cee98e938a7"
      },
      "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>gender</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.006713</td>\n",
              "      <td>0.015183</td>\n",
              "      <td>0.002017</td>\n",
              "      <td>-0.005094</td>\n",
              "      <td>0.002484</td>\n",
              "      <td>-0.006473</td>\n",
              "      <td>-0.004440</td>\n",
              "      <td>0.014335</td>\n",
              "      <td>0.007262</td>\n",
              "      <td>-0.001110</td>\n",
              "      <td>0.006251</td>\n",
              "      <td>0.011151</td>\n",
              "      <td>-0.008299</td>\n",
              "      <td>-0.010725</td>\n",
              "      <td>0.036526</td>\n",
              "      <td>-0.027542</td>\n",
              "      <td>-0.003958</td>\n",
              "      <td>-0.005312</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Partner</th>\n",
              "      <td>-0.006713</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.476960</td>\n",
              "      <td>0.383231</td>\n",
              "      <td>0.014221</td>\n",
              "      <td>0.090049</td>\n",
              "      <td>-0.001815</td>\n",
              "      <td>0.084634</td>\n",
              "      <td>0.077897</td>\n",
              "      <td>0.079307</td>\n",
              "      <td>0.059536</td>\n",
              "      <td>0.071432</td>\n",
              "      <td>0.069776</td>\n",
              "      <td>0.273027</td>\n",
              "      <td>0.006101</td>\n",
              "      <td>-0.157929</td>\n",
              "      <td>0.091626</td>\n",
              "      <td>0.325048</td>\n",
              "      <td>-0.142927</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dependents</th>\n",
              "      <td>0.015183</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.476960</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.183903</td>\n",
              "      <td>-0.014152</td>\n",
              "      <td>-0.005491</td>\n",
              "      <td>0.043271</td>\n",
              "      <td>0.189563</td>\n",
              "      <td>0.147416</td>\n",
              "      <td>0.146627</td>\n",
              "      <td>0.168218</td>\n",
              "      <td>0.149433</td>\n",
              "      <td>0.132089</td>\n",
              "      <td>0.242163</td>\n",
              "      <td>-0.109342</td>\n",
              "      <td>-0.044876</td>\n",
              "      <td>-0.100752</td>\n",
              "      <td>0.093534</td>\n",
              "      <td>-0.172355</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tenure</th>\n",
              "      <td>0.002017</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.383231</td>\n",
              "      <td>0.183903</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.014154</td>\n",
              "      <td>0.245667</td>\n",
              "      <td>-0.021482</td>\n",
              "      <td>0.161099</td>\n",
              "      <td>0.196092</td>\n",
              "      <td>0.191111</td>\n",
              "      <td>0.155865</td>\n",
              "      <td>0.143202</td>\n",
              "      <td>0.144233</td>\n",
              "      <td>0.677037</td>\n",
              "      <td>0.006070</td>\n",
              "      <td>-0.390785</td>\n",
              "      <td>0.230240</td>\n",
              "      <td>0.824598</td>\n",
              "      <td>-0.349110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PhoneService</th>\n",
              "      <td>-0.005094</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.014221</td>\n",
              "      <td>-0.014152</td>\n",
              "      <td>0.014154</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.675163</td>\n",
              "      <td>0.377134</td>\n",
              "      <td>0.115560</td>\n",
              "      <td>0.137759</td>\n",
              "      <td>0.146014</td>\n",
              "      <td>0.115850</td>\n",
              "      <td>0.170870</td>\n",
              "      <td>0.153028</td>\n",
              "      <td>-0.005901</td>\n",
              "      <td>0.012459</td>\n",
              "      <td>0.002566</td>\n",
              "      <td>0.240757</td>\n",
              "      <td>0.111578</td>\n",
              "      <td>0.013203</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MultipleLines</th>\n",
              "      <td>0.002484</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.090049</td>\n",
              "      <td>-0.005491</td>\n",
              "      <td>0.245667</td>\n",
              "      <td>-0.675163</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.323040</td>\n",
              "      <td>-0.221734</td>\n",
              "      <td>-0.189071</td>\n",
              "      <td>-0.204837</td>\n",
              "      <td>-0.214796</td>\n",
              "      <td>-0.193496</td>\n",
              "      <td>-0.180932</td>\n",
              "      <td>0.085680</td>\n",
              "      <td>0.111801</td>\n",
              "      <td>-0.142487</td>\n",
              "      <td>0.153791</td>\n",
              "      <td>0.262667</td>\n",
              "      <td>0.019749</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InternetService</th>\n",
              "      <td>-0.006473</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.001815</td>\n",
              "      <td>0.043271</td>\n",
              "      <td>-0.021482</td>\n",
              "      <td>0.377134</td>\n",
              "      <td>-0.323040</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.602756</td>\n",
              "      <td>0.658685</td>\n",
              "      <td>0.663384</td>\n",
              "      <td>0.609884</td>\n",
              "      <td>0.710954</td>\n",
              "      <td>0.697576</td>\n",
              "      <td>0.099491</td>\n",
              "      <td>-0.147757</td>\n",
              "      <td>0.073926</td>\n",
              "      <td>-0.334212</td>\n",
              "      <td>-0.182202</td>\n",
              "      <td>-0.041090</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <td>-0.004440</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.084634</td>\n",
              "      <td>0.189563</td>\n",
              "      <td>0.161099</td>\n",
              "      <td>0.115560</td>\n",
              "      <td>-0.221734</td>\n",
              "      <td>0.602756</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.751521</td>\n",
              "      <td>0.750876</td>\n",
              "      <td>0.791116</td>\n",
              "      <td>0.705922</td>\n",
              "      <td>0.709078</td>\n",
              "      <td>0.395153</td>\n",
              "      <td>-0.323274</td>\n",
              "      <td>0.055217</td>\n",
              "      <td>-0.626148</td>\n",
              "      <td>-0.149945</td>\n",
              "      <td>-0.346477</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OnlineBackup</th>\n",
              "      <td>0.014335</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.077897</td>\n",
              "      <td>0.147416</td>\n",
              "      <td>0.196092</td>\n",
              "      <td>0.137759</td>\n",
              "      <td>-0.189071</td>\n",
              "      <td>0.658685</td>\n",
              "      <td>0.751521</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.739462</td>\n",
              "      <td>0.749789</td>\n",
              "      <td>0.716273</td>\n",
              "      <td>0.706965</td>\n",
              "      <td>0.352837</td>\n",
              "      <td>-0.254102</td>\n",
              "      <td>0.030627</td>\n",
              "      <td>-0.550300</td>\n",
              "      <td>-0.080979</td>\n",
              "      <td>-0.305255</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DeviceProtection</th>\n",
              "      <td>0.007262</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.079307</td>\n",
              "      <td>0.146627</td>\n",
              "      <td>0.191111</td>\n",
              "      <td>0.146014</td>\n",
              "      <td>-0.204837</td>\n",
              "      <td>0.663384</td>\n",
              "      <td>0.750876</td>\n",
              "      <td>0.739462</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.769088</td>\n",
              "      <td>0.755716</td>\n",
              "      <td>0.758951</td>\n",
              "      <td>0.397134</td>\n",
              "      <td>-0.273575</td>\n",
              "      <td>0.013873</td>\n",
              "      <td>-0.516352</td>\n",
              "      <td>-0.075554</td>\n",
              "      <td>-0.297819</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TechSupport</th>\n",
              "      <td>-0.001110</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.059536</td>\n",
              "      <td>0.168218</td>\n",
              "      <td>0.155865</td>\n",
              "      <td>0.115850</td>\n",
              "      <td>-0.214796</td>\n",
              "      <td>0.609884</td>\n",
              "      <td>0.791116</td>\n",
              "      <td>0.749789</td>\n",
              "      <td>0.769088</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.737048</td>\n",
              "      <td>0.734889</td>\n",
              "      <td>0.428427</td>\n",
              "      <td>-0.306462</td>\n",
              "      <td>0.035985</td>\n",
              "      <td>-0.603773</td>\n",
              "      <td>-0.144233</td>\n",
              "      <td>-0.359761</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>StreamingTV</th>\n",
              "      <td>0.006251</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.071432</td>\n",
              "      <td>0.149433</td>\n",
              "      <td>0.143202</td>\n",
              "      <td>0.170870</td>\n",
              "      <td>-0.193496</td>\n",
              "      <td>0.710954</td>\n",
              "      <td>0.705922</td>\n",
              "      <td>0.716273</td>\n",
              "      <td>0.755716</td>\n",
              "      <td>0.737048</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.806079</td>\n",
              "      <td>0.333971</td>\n",
              "      <td>-0.203622</td>\n",
              "      <td>0.029565</td>\n",
              "      <td>-0.430722</td>\n",
              "      <td>-0.081214</td>\n",
              "      <td>-0.216102</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>StreamingMovies</th>\n",
              "      <td>0.011151</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.069776</td>\n",
              "      <td>0.132089</td>\n",
              "      <td>0.144233</td>\n",
              "      <td>0.153028</td>\n",
              "      <td>-0.180932</td>\n",
              "      <td>0.697576</td>\n",
              "      <td>0.709078</td>\n",
              "      <td>0.706965</td>\n",
              "      <td>0.758951</td>\n",
              "      <td>0.734889</td>\n",
              "      <td>0.806079</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.324942</td>\n",
              "      <td>-0.212946</td>\n",
              "      <td>0.031598</td>\n",
              "      <td>-0.437215</td>\n",
              "      <td>-0.081682</td>\n",
              "      <td>-0.205091</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Contract</th>\n",
              "      <td>-0.008299</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.273027</td>\n",
              "      <td>0.242163</td>\n",
              "      <td>0.677037</td>\n",
              "      <td>-0.005901</td>\n",
              "      <td>0.085680</td>\n",
              "      <td>0.099491</td>\n",
              "      <td>0.395153</td>\n",
              "      <td>0.352837</td>\n",
              "      <td>0.397134</td>\n",
              "      <td>0.428427</td>\n",
              "      <td>0.333971</td>\n",
              "      <td>0.324942</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.182472</td>\n",
              "      <td>-0.238838</td>\n",
              "      <td>-0.085589</td>\n",
              "      <td>0.450086</td>\n",
              "      <td>-0.414188</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <td>-0.010725</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.006101</td>\n",
              "      <td>-0.109342</td>\n",
              "      <td>0.006070</td>\n",
              "      <td>0.012459</td>\n",
              "      <td>0.111801</td>\n",
              "      <td>-0.147757</td>\n",
              "      <td>-0.323274</td>\n",
              "      <td>-0.254102</td>\n",
              "      <td>-0.273575</td>\n",
              "      <td>-0.306462</td>\n",
              "      <td>-0.203622</td>\n",
              "      <td>-0.212946</td>\n",
              "      <td>-0.182472</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.088024</td>\n",
              "      <td>0.351075</td>\n",
              "      <td>0.160697</td>\n",
              "      <td>0.193853</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PaymentMethod</th>\n",
              "      <td>0.036526</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.157929</td>\n",
              "      <td>-0.044876</td>\n",
              "      <td>-0.390785</td>\n",
              "      <td>0.002566</td>\n",
              "      <td>-0.142487</td>\n",
              "      <td>0.073926</td>\n",
              "      <td>0.055217</td>\n",
              "      <td>0.030627</td>\n",
              "      <td>0.013873</td>\n",
              "      <td>0.035985</td>\n",
              "      <td>0.029565</td>\n",
              "      <td>0.031598</td>\n",
              "      <td>-0.238838</td>\n",
              "      <td>-0.088024</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.203324</td>\n",
              "      <td>-0.348392</td>\n",
              "      <td>0.100077</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <td>-0.027542</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.091626</td>\n",
              "      <td>-0.100752</td>\n",
              "      <td>0.230240</td>\n",
              "      <td>0.240757</td>\n",
              "      <td>0.153791</td>\n",
              "      <td>-0.334212</td>\n",
              "      <td>-0.626148</td>\n",
              "      <td>-0.550300</td>\n",
              "      <td>-0.516352</td>\n",
              "      <td>-0.603773</td>\n",
              "      <td>-0.430722</td>\n",
              "      <td>-0.437215</td>\n",
              "      <td>-0.085589</td>\n",
              "      <td>0.351075</td>\n",
              "      <td>-0.203324</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.641274</td>\n",
              "      <td>0.212269</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TotalCharges</th>\n",
              "      <td>-0.003958</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.325048</td>\n",
              "      <td>0.093534</td>\n",
              "      <td>0.824598</td>\n",
              "      <td>0.111578</td>\n",
              "      <td>0.262667</td>\n",
              "      <td>-0.182202</td>\n",
              "      <td>-0.149945</td>\n",
              "      <td>-0.080979</td>\n",
              "      <td>-0.075554</td>\n",
              "      <td>-0.144233</td>\n",
              "      <td>-0.081214</td>\n",
              "      <td>-0.081682</td>\n",
              "      <td>0.450086</td>\n",
              "      <td>0.160697</td>\n",
              "      <td>-0.348392</td>\n",
              "      <td>0.641274</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.192511</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Churn</th>\n",
              "      <td>-0.005312</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.142927</td>\n",
              "      <td>-0.172355</td>\n",
              "      <td>-0.349110</td>\n",
              "      <td>0.013203</td>\n",
              "      <td>0.019749</td>\n",
              "      <td>-0.041090</td>\n",
              "      <td>-0.346477</td>\n",
              "      <td>-0.305255</td>\n",
              "      <td>-0.297819</td>\n",
              "      <td>-0.359761</td>\n",
              "      <td>-0.216102</td>\n",
              "      <td>-0.205091</td>\n",
              "      <td>-0.414188</td>\n",
              "      <td>0.193853</td>\n",
              "      <td>0.100077</td>\n",
              "      <td>0.212269</td>\n",
              "      <td>-0.192511</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    gender  SeniorCitizen   Partner  Dependents    tenure  \\\n",
              "gender            1.000000            NaN -0.006713    0.015183  0.002017   \n",
              "SeniorCitizen          NaN            NaN       NaN         NaN       NaN   \n",
              "Partner          -0.006713            NaN  1.000000    0.476960  0.383231   \n",
              "Dependents        0.015183            NaN  0.476960    1.000000  0.183903   \n",
              "tenure            0.002017            NaN  0.383231    0.183903  1.000000   \n",
              "PhoneService     -0.005094            NaN  0.014221   -0.014152  0.014154   \n",
              "MultipleLines     0.002484            NaN  0.090049   -0.005491  0.245667   \n",
              "InternetService  -0.006473            NaN -0.001815    0.043271 -0.021482   \n",
              "OnlineSecurity   -0.004440            NaN  0.084634    0.189563  0.161099   \n",
              "OnlineBackup      0.014335            NaN  0.077897    0.147416  0.196092   \n",
              "DeviceProtection  0.007262            NaN  0.079307    0.146627  0.191111   \n",
              "TechSupport      -0.001110            NaN  0.059536    0.168218  0.155865   \n",
              "StreamingTV       0.006251            NaN  0.071432    0.149433  0.143202   \n",
              "StreamingMovies   0.011151            NaN  0.069776    0.132089  0.144233   \n",
              "Contract         -0.008299            NaN  0.273027    0.242163  0.677037   \n",
              "PaperlessBilling -0.010725            NaN  0.006101   -0.109342  0.006070   \n",
              "PaymentMethod     0.036526            NaN -0.157929   -0.044876 -0.390785   \n",
              "MonthlyCharges   -0.027542            NaN  0.091626   -0.100752  0.230240   \n",
              "TotalCharges     -0.003958            NaN  0.325048    0.093534  0.824598   \n",
              "Churn            -0.005312            NaN -0.142927   -0.172355 -0.349110   \n",
              "\n",
              "                  PhoneService  MultipleLines  InternetService  \\\n",
              "gender               -0.005094       0.002484        -0.006473   \n",
              "SeniorCitizen              NaN            NaN              NaN   \n",
              "Partner               0.014221       0.090049        -0.001815   \n",
              "Dependents           -0.014152      -0.005491         0.043271   \n",
              "tenure                0.014154       0.245667        -0.021482   \n",
              "PhoneService          1.000000      -0.675163         0.377134   \n",
              "MultipleLines        -0.675163       1.000000        -0.323040   \n",
              "InternetService       0.377134      -0.323040         1.000000   \n",
              "OnlineSecurity        0.115560      -0.221734         0.602756   \n",
              "OnlineBackup          0.137759      -0.189071         0.658685   \n",
              "DeviceProtection      0.146014      -0.204837         0.663384   \n",
              "TechSupport           0.115850      -0.214796         0.609884   \n",
              "StreamingTV           0.170870      -0.193496         0.710954   \n",
              "StreamingMovies       0.153028      -0.180932         0.697576   \n",
              "Contract             -0.005901       0.085680         0.099491   \n",
              "PaperlessBilling      0.012459       0.111801        -0.147757   \n",
              "PaymentMethod         0.002566      -0.142487         0.073926   \n",
              "MonthlyCharges        0.240757       0.153791        -0.334212   \n",
              "TotalCharges          0.111578       0.262667        -0.182202   \n",
              "Churn                 0.013203       0.019749        -0.041090   \n",
              "\n",
              "                  OnlineSecurity  OnlineBackup  DeviceProtection  TechSupport  \\\n",
              "gender                 -0.004440      0.014335          0.007262    -0.001110   \n",
              "SeniorCitizen                NaN           NaN               NaN          NaN   \n",
              "Partner                 0.084634      0.077897          0.079307     0.059536   \n",
              "Dependents              0.189563      0.147416          0.146627     0.168218   \n",
              "tenure                  0.161099      0.196092          0.191111     0.155865   \n",
              "PhoneService            0.115560      0.137759          0.146014     0.115850   \n",
              "MultipleLines          -0.221734     -0.189071         -0.204837    -0.214796   \n",
              "InternetService         0.602756      0.658685          0.663384     0.609884   \n",
              "OnlineSecurity          1.000000      0.751521          0.750876     0.791116   \n",
              "OnlineBackup            0.751521      1.000000          0.739462     0.749789   \n",
              "DeviceProtection        0.750876      0.739462          1.000000     0.769088   \n",
              "TechSupport             0.791116      0.749789          0.769088     1.000000   \n",
              "StreamingTV             0.705922      0.716273          0.755716     0.737048   \n",
              "StreamingMovies         0.709078      0.706965          0.758951     0.734889   \n",
              "Contract                0.395153      0.352837          0.397134     0.428427   \n",
              "PaperlessBilling       -0.323274     -0.254102         -0.273575    -0.306462   \n",
              "PaymentMethod           0.055217      0.030627          0.013873     0.035985   \n",
              "MonthlyCharges         -0.626148     -0.550300         -0.516352    -0.603773   \n",
              "TotalCharges           -0.149945     -0.080979         -0.075554    -0.144233   \n",
              "Churn                  -0.346477     -0.305255         -0.297819    -0.359761   \n",
              "\n",
              "                  StreamingTV  StreamingMovies  Contract  PaperlessBilling  \\\n",
              "gender               0.006251         0.011151 -0.008299         -0.010725   \n",
              "SeniorCitizen             NaN              NaN       NaN               NaN   \n",
              "Partner              0.071432         0.069776  0.273027          0.006101   \n",
              "Dependents           0.149433         0.132089  0.242163         -0.109342   \n",
              "tenure               0.143202         0.144233  0.677037          0.006070   \n",
              "PhoneService         0.170870         0.153028 -0.005901          0.012459   \n",
              "MultipleLines       -0.193496        -0.180932  0.085680          0.111801   \n",
              "InternetService      0.710954         0.697576  0.099491         -0.147757   \n",
              "OnlineSecurity       0.705922         0.709078  0.395153         -0.323274   \n",
              "OnlineBackup         0.716273         0.706965  0.352837         -0.254102   \n",
              "DeviceProtection     0.755716         0.758951  0.397134         -0.273575   \n",
              "TechSupport          0.737048         0.734889  0.428427         -0.306462   \n",
              "StreamingTV          1.000000         0.806079  0.333971         -0.203622   \n",
              "StreamingMovies      0.806079         1.000000  0.324942         -0.212946   \n",
              "Contract             0.333971         0.324942  1.000000         -0.182472   \n",
              "PaperlessBilling    -0.203622        -0.212946 -0.182472          1.000000   \n",
              "PaymentMethod        0.029565         0.031598 -0.238838         -0.088024   \n",
              "MonthlyCharges      -0.430722        -0.437215 -0.085589          0.351075   \n",
              "TotalCharges        -0.081214        -0.081682  0.450086          0.160697   \n",
              "Churn               -0.216102        -0.205091 -0.414188          0.193853   \n",
              "\n",
              "                  PaymentMethod  MonthlyCharges  TotalCharges     Churn  \n",
              "gender                 0.036526       -0.027542     -0.003958 -0.005312  \n",
              "SeniorCitizen               NaN             NaN           NaN       NaN  \n",
              "Partner               -0.157929        0.091626      0.325048 -0.142927  \n",
              "Dependents            -0.044876       -0.100752      0.093534 -0.172355  \n",
              "tenure                -0.390785        0.230240      0.824598 -0.349110  \n",
              "PhoneService           0.002566        0.240757      0.111578  0.013203  \n",
              "MultipleLines         -0.142487        0.153791      0.262667  0.019749  \n",
              "InternetService        0.073926       -0.334212     -0.182202 -0.041090  \n",
              "OnlineSecurity         0.055217       -0.626148     -0.149945 -0.346477  \n",
              "OnlineBackup           0.030627       -0.550300     -0.080979 -0.305255  \n",
              "DeviceProtection       0.013873       -0.516352     -0.075554 -0.297819  \n",
              "TechSupport            0.035985       -0.603773     -0.144233 -0.359761  \n",
              "StreamingTV            0.029565       -0.430722     -0.081214 -0.216102  \n",
              "StreamingMovies        0.031598       -0.437215     -0.081682 -0.205091  \n",
              "Contract              -0.238838       -0.085589      0.450086 -0.414188  \n",
              "PaperlessBilling      -0.088024        0.351075      0.160697  0.193853  \n",
              "PaymentMethod          1.000000       -0.203324     -0.348392  0.100077  \n",
              "MonthlyCharges        -0.203324        1.000000      0.641274  0.212269  \n",
              "TotalCharges          -0.348392        0.641274      1.000000 -0.192511  \n",
              "Churn                  0.100077        0.212269     -0.192511  1.000000  "
            ]
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df1.corr()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ttil73eH7Vwm",
        "outputId": "da1bfbe4-db4b-45f3-8875-b69b8d31ba35"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "gender              0\n",
              "SeniorCitizen       0\n",
              "Partner             0\n",
              "Dependents          0\n",
              "tenure              0\n",
              "PhoneService        0\n",
              "MultipleLines       0\n",
              "InternetService     0\n",
              "OnlineSecurity      0\n",
              "OnlineBackup        0\n",
              "DeviceProtection    0\n",
              "TechSupport         0\n",
              "StreamingTV         0\n",
              "StreamingMovies     0\n",
              "Contract            0\n",
              "PaperlessBilling    0\n",
              "PaymentMethod       0\n",
              "MonthlyCharges      0\n",
              "TotalCharges        0\n",
              "Churn               1\n",
              "dtype: int64"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df1.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QbWLAqQ-7Vwm"
      },
      "outputs": [],
      "source": [
        "# Round and convert to integer for specific columns\n",
        "columns_to_convert = ['MonthlyCharges', 'TotalCharges']\n",
        "\n",
        "for column in columns_to_convert:\n",
        "    df1[column] = df1[column].round().astype(int)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xuFya_qq7Vwn"
      },
      "outputs": [],
      "source": [
        "# Handling missing values by filling them with False (you can choose a suitable value)\n",
        "df1['Churn'] = df1['Churn'].fillna(False)\n",
        "\n",
        "# Convert 'Churn' column boolean values to integers\n",
        "df1['Churn'] = df1['Churn'].astype(int)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xoef1r7-7Vwn",
        "outputId": "f5387534-1320-48e1-b4f1-04e30e74f286"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x800 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "correlation_matrix = df1.corr()\n",
        "\n",
        "# Set up the figure and axes for the heatmap\n",
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "# Create a heatmap using Seaborn\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', center=0)\n",
        "\n",
        "# Set the title of the plot\n",
        "plt.title(\"Correlation Heatmap\")\n",
        "\n",
        "# Display the plot\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FVFR807t7Vwn",
        "outputId": "9eeea0f2-ce60-444d-e7a1-0c837d933470"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Choose two continuous variables for the scatter plot\n",
        "x_variable = 'MonthlyCharges'\n",
        "y_variable = 'TotalCharges'\n",
        "\n",
        "# Create a scatter plot\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.scatter(df1[x_variable], df1[y_variable], alpha=0.7)\n",
        "plt.title(f'Scatter Plot of {x_variable} vs {y_variable}')\n",
        "plt.xlabel(x_variable)\n",
        "plt.ylabel(y_variable)\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "z_j91oAZ7Vwo",
        "outputId": "643b9924-34c4-4ff9-fa2c-eb46ae636889"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Choose two continuous variables for the hexbin plot\n",
        "x_variable = 'OnlineSecurity'\n",
        "y_variable = 'TechSupport'\n",
        "\n",
        "# Create a hexbin plot\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.hexbin(df1[x_variable], df1[y_variable], gridsize=20, cmap='coolwarm')\n",
        "plt.colorbar(label='Count')\n",
        "plt.title(f'Hexbin Plot of {x_variable} vs {y_variable}')\n",
        "plt.xlabel(x_variable)\n",
        "plt.ylabel(y_variable)\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1nbMWWDj7Vwo"
      },
      "outputs": [],
      "source": [
        "# Separate features and target variable\n",
        "X = df1.drop(columns=['Churn'])\n",
        "y = df1['Churn']\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "x58bEopr7Vwp"
      },
      "outputs": [],
      "source": [
        "# Split data into train and test sets\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lWuD2D0A7Vwp"
      },
      "outputs": [],
      "source": [
        "#Data Fitting\n",
        "smote = SMOTE(random_state=42)\n",
        "X_train_resampled, y_train_resampled = smote.fit_resample(X_train, y_train)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8FF17mHE7Vwp"
      },
      "outputs": [],
      "source": [
        "# Perform feature scaling using MinMaxScaler\n",
        "scaler = MinMaxScaler()\n",
        "X_train_scaled = scaler.fit_transform(X_train_resampled)\n",
        "X_test_scaled = scaler.transform(X_test)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2HQYZ05N7Vwq"
      },
      "outputs": [],
      "source": [
        "# Build and train Logistic Regression model\n",
        "lr_model = LogisticRegression()\n",
        "lr_model.fit(X_train_scaled, y_train_resampled)\n",
        "lr_predictions = lr_model.predict(X_test_scaled)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ajwxp2bG7Vwq"
      },
      "outputs": [],
      "source": [
        "# Build and train Decision Tree model\n",
        "dt_model = DecisionTreeClassifier(random_state=42)\n",
        "dt_model.fit(X_train_scaled, y_train_resampled)\n",
        "dt_predictions = dt_model.predict(X_test_scaled)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VgEkoGv07Vwq"
      },
      "outputs": [],
      "source": [
        "# Build and train Random Forest model\n",
        "rf_model = RandomForestClassifier(random_state=42)\n",
        "rf_model.fit(X_train_scaled, y_train_resampled)\n",
        "rf_predictions = rf_model.predict(X_test_scaled)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6p44BrN_7Vwr",
        "outputId": "9b994c1d-b6ec-48a5-bc07-81a2d705351b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Logistic Regression Model:\n",
            "Accuracy: 0.7933333333333333\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "   Not Churn       0.90      0.81      0.86       454\n",
            "       Churn       0.56      0.73      0.63       146\n",
            "\n",
            "    accuracy                           0.79       600\n",
            "   macro avg       0.73      0.77      0.74       600\n",
            "weighted avg       0.82      0.79      0.80       600\n",
            "\n",
            "Decision Tree Model:\n",
            "Accuracy: 0.7466666666666667\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "   Not Churn       0.85      0.80      0.83       454\n",
            "       Churn       0.48      0.57      0.52       146\n",
            "\n",
            "    accuracy                           0.75       600\n",
            "   macro avg       0.67      0.69      0.67       600\n",
            "weighted avg       0.76      0.75      0.75       600\n",
            "\n",
            "Random Forest Model:\n",
            "Accuracy: 0.8033333333333333\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "   Not Churn       0.88      0.85      0.87       454\n",
            "       Churn       0.59      0.65      0.62       146\n",
            "\n",
            "    accuracy                           0.80       600\n",
            "   macro avg       0.73      0.75      0.74       600\n",
            "weighted avg       0.81      0.80      0.81       600\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Evaluate models\n",
        "def evaluate_model(predictions, model_name):\n",
        "    accuracy = accuracy_score(y_test, predictions)\n",
        "    report = classification_report(y_test, predictions, target_names=['Not Churn', 'Churn'])\n",
        "    print(f\"{model_name} Model:\")\n",
        "    print(\"Accuracy:\", accuracy)\n",
        "    print(\"Classification Report:\\n\", report)\n",
        "\n",
        "evaluate_model(lr_predictions, \"Logistic Regression\")\n",
        "evaluate_model(dt_predictions, \"Decision Tree\")\n",
        "evaluate_model(rf_predictions, \"Random Forest\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rG5cBQKQ7Vwr"
      },
      "outputs": [],
      "source": [
        "\n",
        "# Hyperparameter tuning using GridSearchCV\n",
        "from sklearn.model_selection import train_test_split, GridSearchCV\n",
        "def hyperparameter_tuning(model, param_grid):\n",
        "    grid_search = GridSearchCV(model, param_grid, cv=5, scoring='accuracy', n_jobs=-1)\n",
        "    grid_search.fit(X_train_scaled, y_train_resampled)\n",
        "    return grid_search.best_estimator_\n",
        "\n",
        "# Hyperparameters to tune for each model\n",
        "lr_param_grid = {'C': [0.001, 0.01, 0.1, 1, 10, 100]}\n",
        "dt_param_grid = {'max_depth': [None, 10, 20, 30], 'min_samples_split': [2, 5, 10]}\n",
        "rf_param_grid = {'n_estimators': [100, 200, 300], 'max_depth': [None, 10, 20], 'min_samples_split': [2, 5]}\n",
        "\n",
        "# Tune hyperparameters for each model\n",
        "tuned_lr_model = hyperparameter_tuning(LogisticRegression(), lr_param_grid)\n",
        "tuned_dt_model = hyperparameter_tuning(DecisionTreeClassifier(random_state=42), dt_param_grid)\n",
        "tuned_rf_model = hyperparameter_tuning(RandomForestClassifier(random_state=42), rf_param_grid)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TZj32Cc97Vws",
        "outputId": "510dc68e-7a7b-4357-b23c-48182cde6eee"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Tuned Logistic Regression Model:\n",
            "Accuracy: 0.79\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "   Not Churn       0.91      0.81      0.85       454\n",
            "       Churn       0.55      0.74      0.63       146\n",
            "\n",
            "    accuracy                           0.79       600\n",
            "   macro avg       0.73      0.77      0.74       600\n",
            "weighted avg       0.82      0.79      0.80       600\n",
            "\n",
            "Tuned Decision Tree Model:\n",
            "Accuracy: 0.74\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "   Not Churn       0.87      0.77      0.82       454\n",
            "       Churn       0.47      0.64      0.54       146\n",
            "\n",
            "    accuracy                           0.74       600\n",
            "   macro avg       0.67      0.71      0.68       600\n",
            "weighted avg       0.77      0.74      0.75       600\n",
            "\n",
            "Tuned Random Forest Model:\n",
            "Accuracy: 0.8083333333333333\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "   Not Churn       0.89      0.85      0.87       454\n",
            "       Churn       0.59      0.68      0.63       146\n",
            "\n",
            "    accuracy                           0.81       600\n",
            "   macro avg       0.74      0.77      0.75       600\n",
            "weighted avg       0.82      0.81      0.81       600\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Evaluate tuned models\n",
        "def evaluate_tuned_model(model, model_name):\n",
        "    predictions = model.predict(X_test_scaled)\n",
        "    accuracy = accuracy_score(y_test, predictions)\n",
        "    report = classification_report(y_test, predictions, target_names=['Not Churn', 'Churn'])\n",
        "    print(f\"Tuned {model_name} Model:\")\n",
        "    print(\"Accuracy:\", accuracy)\n",
        "    print(\"Classification Report:\\n\", report)\n",
        "\n",
        "evaluate_tuned_model(tuned_lr_model, \"Logistic Regression\")\n",
        "evaluate_tuned_model(tuned_dt_model, \"Decision Tree\")\n",
        "evaluate_tuned_model(tuned_rf_model, \"Random Forest\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FyoOOLW67Vws",
        "outputId": "08dee366-5a40-4c42-c652-f09755db4625"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "gender              int32\n",
              "SeniorCitizen       int64\n",
              "Partner             int64\n",
              "Dependents          int64\n",
              "tenure              int64\n",
              "PhoneService        int64\n",
              "MultipleLines       int32\n",
              "InternetService     int32\n",
              "OnlineSecurity      int32\n",
              "OnlineBackup        int32\n",
              "DeviceProtection    int32\n",
              "TechSupport         int32\n",
              "StreamingTV         int32\n",
              "StreamingMovies     int32\n",
              "Contract            int32\n",
              "PaperlessBilling    int64\n",
              "PaymentMethod       int32\n",
              "MonthlyCharges      int32\n",
              "TotalCharges        int32\n",
              "Churn               int32\n",
              "dtype: object"
            ]
          },
          "execution_count": 49,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df1.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YvCPOeFm7Vwt",
        "outputId": "b6fce055-4dc9-44fa-9d5f-2fa51a59e316"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
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              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>gender</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>Partner</th>\n",
              "      <th>Dependents</th>\n",
              "      <th>tenure</th>\n",
              "      <th>PhoneService</th>\n",
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              "      <th>InternetService</th>\n",
              "      <th>OnlineSecurity</th>\n",
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              "      <th>DeviceProtection</th>\n",
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              "      <th>PaymentMethod</th>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <th>TotalCharges</th>\n",
              "      <th>Churn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <td>1</td>\n",
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              "      <td>54</td>\n",
              "      <td>108</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
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              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>45</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>42</td>\n",
              "      <td>1841</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>71</td>\n",
              "      <td>152</td>\n",
              "      <td>1</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>2995</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
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              "      <th>2996</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>18</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>61</td>\n",
              "      <td>1156</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2997</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>69</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>90</td>\n",
              "      <td>6143</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>2998</th>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>75</td>\n",
              "      <td>145</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2999</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>19</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>21</td>\n",
              "      <td>415</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3000 rows × 20 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      gender  SeniorCitizen  Partner  Dependents  tenure  PhoneService  \\\n",
              "0          0              0        1           0       1             0   \n",
              "1          1              0        0           0      34             1   \n",
              "2          1              0        0           0       2             1   \n",
              "3          1              0        0           0      45             0   \n",
              "4          0              0        0           0       2             1   \n",
              "...      ...            ...      ...         ...     ...           ...   \n",
              "2995       0              0        0           0       1             0   \n",
              "2996       0              0        0           0      18             1   \n",
              "2997       1              0        1           0      69             1   \n",
              "2998       1              0        0           0       2             1   \n",
              "2999       1              0        1           1      19             1   \n",
              "\n",
              "      MultipleLines  InternetService  OnlineSecurity  OnlineBackup  \\\n",
              "0                 2                0               0             1   \n",
              "1                 0                0               1             0   \n",
              "2                 0                0               1             1   \n",
              "3                 2                0               1             0   \n",
              "4                 0                1               0             0   \n",
              "...             ...              ...             ...           ...   \n",
              "2995              2                0               0             0   \n",
              "2996              1                0               1             0   \n",
              "2997              1                1               0             1   \n",
              "2998              0                1               0             1   \n",
              "2999              0                2               2             2   \n",
              "\n",
              "      DeviceProtection  TechSupport  StreamingTV  StreamingMovies  Contract  \\\n",
              "0                    0            0            0                0         0   \n",
              "1                    1            0            0                0         1   \n",
              "2                    0            0            0                0         0   \n",
              "3                    1            1            0                0         1   \n",
              "4                    0            0            0                0         0   \n",
              "...                ...          ...          ...              ...       ...   \n",
              "2995                 0            0            0                0         0   \n",
              "2996                 1            0            0                0         0   \n",
              "2997                 0            0            1                0         0   \n",
              "2998                 0            0            0                0         0   \n",
              "2999                 2            2            2                2         0   \n",
              "\n",
              "      PaperlessBilling  PaymentMethod  MonthlyCharges  TotalCharges  Churn  \n",
              "0                    1              2              30            30      0  \n",
              "1                    0              3              57          1890      0  \n",
              "2                    1              3              54           108      1  \n",
              "3                    0              0              42          1841      0  \n",
              "4                    1              2              71           152      1  \n",
              "...                ...            ...             ...           ...    ...  \n",
              "2995                 0              0              25            25      0  \n",
              "2996                 1              3              61          1156      0  \n",
              "2997                 1              2              90          6143      1  \n",
              "2998                 1              2              75           145      0  \n",
              "2999                 0              3              21           415      0  \n",
              "\n",
              "[3000 rows x 20 columns]"
            ]
          },
          "execution_count": 50,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df1"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BXmHBWEZ7Vwt"
      },
      "source": [
        "# model interpretor"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kSvRT7P57Vwt",
        "outputId": "7d63b6a6-f68e-4be7-e17e-f7f67222ece1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Logistic Regression Model:\n",
            "Accuracy: 0.7933333333333333\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "   Not Churn       0.90      0.81      0.86       454\n",
            "       Churn       0.56      0.73      0.63       146\n",
            "\n",
            "    accuracy                           0.79       600\n",
            "   macro avg       0.73      0.77      0.74       600\n",
            "weighted avg       0.82      0.79      0.80       600\n",
            "\n"
          ]
        },
        {
          "data": {
            "image/png": 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gIIWGhuqTTz5J12t7q6R5panNa0yLTz75RKtXr9b8+fPVpEkTnTlzxuVj++joaFmWpSFDhihXrlwuP0OHDpUknTp1StLN1yal91Zq77eiRYsma4uKitKKFSuS7atBgwYu++rVq5dKlSqlxo0bq2DBguratatWrFjhMlZERITi4uJUqlQphYSEqH///tq9e/cdXw+7zjft27fX6tWr9euvv2rRokWp/kF5p/NImTJlkr1PS5Ysmazf7c+NiorSuXPnlDt37mSve3x8vPM1B9KCOavIFPz8/JQ/f37t3bs3Xc9L65Wi1O6+tyzrnveRkJDg8tjHx0cbN27U+vXrtWzZMq1YsUJfffWVnnrqKa1atSrDVgD4K8eSxMvLS61atdKMGTN05MgRhYeHp9p35MiRGjJkiLp27arhw4crMDBQbm5uev3119N8BVm6+fqkx44dO5z/h7hnzx61a9furs95/PHHXYLD0KFD73hsaXW/F4j/4IMPFBYWpv/85z9atWqVXn31VUVGRur7779PcS7h/Va1alXnGsMtWrRQrVq11L59ex08eFDZsmVz/rv369cv2VXQJKmF0btJ6X2SmJiohg0basCAASk+p1SpUpKk3Llza+fOnVq5cqWWL1+u5cuXa9q0aerUqZNmzJgh6ebSYYcPH3a+1lOmTNG4ceM0adKkVNc2TfIgzje3evbZZ+Xl5aXOnTvr6tWryZabu58SExOVO3duzZ49O8XtuXLlemC14O+PsIpMo1mzZvrss8+0detWVa9e/Y59g4ODlZiYqKioKJUtW9bZfvLkScXFxaX4Udm9ypEjh8ud80luv5oi3VyWqH79+qpfv77Gjh2rkSNHavDgwVq/fr3zKtDtxyHdvKnkdgcOHFBQUJB8fX3/+kGkoH379vr888/l5uamtm3bptpv/vz5qlevnqZOnerSHhcXp6CgIOfjjAx0Fy9eVJcuXVSuXDnVqFFDo0ePVsuWLZ0rDqRm9uzZLksdFStW7C/Vkdb3WdL/RkdHu1wZPHv2bJqvpoWEhCgkJET//Oc/tWXLFtWsWVOTJk3SiBEjJKX99U268Wrv3r33HBhv5e7ursjISNWrV08ff/yxBg4c6HxdPTw8Unxf3yo4OFjR0dHJ2lNqS03x4sUVHx9/131JN5dCe+aZZ/TMM88oMTFRvXr10uTJkzVkyBDn6xEYGKguXbqoS5cuio+PV+3atRUeHp5qWH2Q55tb+fj4qEWLFpo1a5YaN27s8vt2e33SzfPIU0895bLt4MGDyd6nKU2BuP0cVLx4ca1Zs0Y1a9ZM9x+awO2YBoBMY8CAAfL19VW3bt108uTJZNsPHz7sXIKmSZMmkuS8CzjJ2LFjJSlD1yEsXry4zp075/JRYUxMTLI7gGNjY5M9N2me3u3L2yTJly+fKlasqBkzZrgE4r1792rVqlXO47wf6tWrp+HDh+vjjz9W3rx5U+3n7u6e7IrQvHnzki2JkxSqUwr26fXWW2/p119/1YwZMzR27FgVKVLEeXXpTmrWrKkGDRo4f/5qWE3r+6x+/frKkiWLJk6c6NLv448/vus+zp8/rxs3bri0hYSEyM3NzeV4fX190/TaNmrUSNmzZ1dkZGSyu8bTe2UvSd26dVW1alV9+OGHunLlinLnzq26detq8uTJiomJSdY/ac1i6eaSY1u3bnX5ZrPY2NhUr9ilpE2bNtq6datWrlyZbFtcXJzz9Tt79qzLNjc3Nz3yyCOS/vc7eHufbNmyqUSJEnd8bz3I883t+vXrp6FDh2rIkCGp9nnssceUO3duTZo0yeU4li9frv379zvru/V8c+s0k9WrV2vfvn0uY7Zp00YJCQkaPnx4sv3duHEjQ37P8fDgyioyjeLFi+vLL7/UCy+8oLJly7p8g9WWLVs0b94859qSjz76qDp37qzPPvtMcXFxqlOnjn788UfNmDFDLVq0UL169TKsrrZt2+qtt95Sy5Yt9eqrr+rSpUuaOHGiSpUq5XKDUUREhDZu3KimTZsqODhYp06d0qeffqqCBQuqVq1aqY4/ZswYNW7cWNWrV9eLL77oXLrK398/Qz7CTo2bm5v++c9/3rVfs2bNFBERoS5duqhGjRras2ePZs+enSwIFi9eXAEBAZo0aZKyZ88uX19fVatWLcU5iHeybt06ffrppxo6dKhzKa1p06apbt26GjJkiEaPHp2u8e4mOjraefXyVpUqVVLTpk3T9D7LkyePXnvtNX3wwQd69tln9fTTT2vXrl1avny5goKC7nhVdN26derdu7eef/55lSpVSjdu3NDMmTPl7u6u5557ztmvSpUqWrNmjcaOHav8+fOraNGiqlatWrLx/Pz8NG7cOHXr1k2PP/642rdvrxw5cmjXrl26dOmS8+Pw9Orfv7+ef/55TZ8+XT179tQnn3yiWrVqKSQkRN27d1exYsV08uRJbd26Vb///rtzHd4BAwZo1qxZatiwofr06eNcuqpw4cKKjY1N0xXj/v37a/HixWrWrJlzCaiLFy9qz549mj9/vo4dO6agoCB169ZNsbGxeuqpp1SwYEH98ssvmjBhgipWrOi8IlquXDnVrVtXVapUUWBgoLZt26b58+ff8VvrHuT5JqV9P/roo3fs4+HhoVGjRqlLly6qU6eO2rVr51y6qkiRInrjjTecfSMjI9W0aVPVqlVLXbt2VWxsrCZMmKDy5cu7zPGuU6eOevToocjISO3cuVONGjWSh4eHoqKiNG/ePH300Udq3br1fTtuZDJ2LkUA3A+HDh2yunfvbhUpUsTy9PS0smfPbtWsWdOaMGGCyzI5169ft4YNG2YVLVrU8vDwsAoVKmQNGjTIpY9lpb480e3LraS2dJVl3VzapUKFCpanp6dVunRpa9asWcmWt1m7dq3VvHlzK3/+/Janp6eVP39+q127di7L7aS0dJVlWdaaNWusmjVrWj4+Ppafn5/1zDPPWPv27XPpc/tyNUluX7ooNbcuXZWa1Jau6tu3r5UvXz7Lx8fHqlmzprV169YUl6v5z3/+Y5UrV87KkiWLy3HWqVPHKl++fIr7vHWc8+fPW8HBwVblypWt69evu/R74403LDc3N2vr1q13PIb0SFpmKKWfF1980bKstL/Pbty4YQ0ZMsTKmzev5ePjYz311FPW/v37rZw5c1o9e/Z09rt96aojR45YXbt2tYoXL255e3tbgYGBVr169aw1a9a4jH/gwAGrdu3alo+Pj8tyWKn9+y9evNiqUaOG8z1VtWpVa86cOXd8PZLG+u9//5tsW0JCglW8eHGrePHizqWhDh8+bHXq1MnKmzev5eHhYRUoUMBq1qyZNX/+fJfn7tixw3ryySctLy8vq2DBglZkZKQ1fvx4S5J14sQJl3+P1JaVunDhgjVo0CCrRIkSlqenpxUUFGTVqFHDev/9961r165ZlmVZ8+fPtxo1amTlzp3b8vT0tAoXLmz16NHDiomJcY4zYsQIq2rVqlZAQIDl4+NjlSlTxnr33XedY1hW8qWrLCvjzzep0f8vXXUnqZ0LvvrqK6tSpUqWl5eXFRgYaHXo0MH6/fffkz1/wYIFVtmyZS0vLy+rXLly1sKFC1Ndou+zzz6zqlSpYvn4+FjZs2e3QkJCrAEDBlh//PFHuo8NDy+HZd3j5zoAgPsqLi5OOXLk0IgRIzR48GC7yzHK66+/rsmTJys+Pt62rx8G8GAwZxUADJDSd9gnzXG89etkH0a3vzZnz57VzJkzVatWLYIq8BBgzioAGOCrr77S9OnTnV/Vu2nTJs2ZM0eNGjVSzZo17S7PVtWrV1fdunVVtmxZnTx5UlOnTtX58+fveNMQgMyDsAoABnjkkUeUJUsWjR49WufPn3fedJXSzVsPmyZNmmj+/Pn67LPP5HA4VLlyZU2dOlW1a9e2uzQADwBzVgEAAGAs5qwCAADAWIRVAAAAGIuwCgAAAGNlyhusfCql/k0iAPB3tHfVGLtLAIAMVTyXT5r6cWUVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGymJ3AUmuXbumU6dOKTEx0aW9cOHCNlUEAAAAu9keVqOiotS1a1dt2bLFpd2yLDkcDiUkJNhUGQAAAOxme1gNCwtTlixZtHTpUuXLl08Oh8PukgAAAGAI28Pqzp079dNPP6lMmTJ2lwIAAADD2H6DVbly5XTmzBm7ywAAAICBbA+ro0aN0oABA7RhwwadPXtW58+fd/kBAADAw8v2aQANGjSQJNWvX9+lnRusAAAAYHtYXb9+vd0lAAAAwFC2htXr168rIiJCkyZNUsmSJe0sBQAAAAaydc6qh4eHdu/ebWcJAAAAMJjtN1h17NhRU6dOtbsMAAAAGMj2Oas3btzQ559/rjVr1qhKlSry9fV12T527FibKgMAAIDdbA+re/fuVeXKlSVJhw4dctnGt1kBAAA83GwPq6wGAAAAgNTYPmcVAAAASI3tV1br1at3x4/7161b9wCrAQAAgElsD6sVK1Z0eXz9+nXt3LlTe/fuVefOne0pCgAAAEawPayOGzcuxfbw8HDFx8c/4GoAAABgEmPnrHbs2FGff/653WUAAADARsaG1a1bt8rb29vuMgAAAGAj26cBtGrVyuWxZVmKiYnRtm3bNGTIEJuqAgAAgAlsD6v+/v4uj93c3FS6dGlFRESoUaNGNlUFAAAAE9geVqdNm2Z3CQAAADCU7WE1ybVr13Tq1CklJia6tBcuXNimigAAAGA328PqoUOH9OKLL2rLli0u7ZZlyeFwKCEhwabKAAAAYDfbw2qXLl2UJUsWLV26VPny5bvjt1kBAADg4WJ7WN25c6d++uknlSlTxu5SAAAAYBjb11ktV66czpw5Y3cZAAAAMJAtV1bPnz/v/O9Ro0ZpwIABGjlypEJCQuTh4eHS18/P70GXh4dY9+drqXvrJxWcP1CStP/ICY38bLlWbd6nwvkCdfCbiBSf16H/VC1cs0OSVChvDn309guq81gpxV++qtlLftCQCYuVkJCY4nMB4EFKSEjQ7M8naf2qZfrz7FkFBuVSgybPql3n7ilOxZswZoSW/2e+Xnq1n1q06WhDxXjY2RJWAwICXH4hLMtS/fr1XfpwgxXscPxknIZM+I+ifz0thxzq+Ew1zRv3kp5o+54OHjupIg0GufTv+lxNvdGpgVZu/lmS5Obm0MLxL+vk2fOqF/aB8uby15Th/9D1Gwka+vESOw4JAFzMnz1N3yyapzcHRyi4aHFFHdincSOHytc3m5o/396l75Zv1+ngz7uVMyiXTdUCNoXV9evX27Fb4K6+2bjX5XH4J0vU/flaqvpIUe0/ckInz15w2f5svUe1YPV2Xbx8TZLUoHpZlS2WV017TtCp2Avafei4Ij5dphGvNteISd/o+g3++AJgr317d+mJWnVVtUZtSVKefAW0Yc0KHdrvev47c/qkJn74nkZ88KmGDuhjR6mAJJvCap06dezYLZAubm4OPdewsnx9PPXD7qPJtlcqW0gVyxTSG+/NdbZVe6So9kb/oVOx/wu1q7fs14TBbVWueD7tOvj7A6kdAFJTrsKjWr54gX7/9RcVLBysI1EHtW/3DnXv09fZJzExUe8P/6eea9dZwcVK2FgtYONqAFFRUXrnnXc0efLkZPNSz507p5dfflkjRoxQsWLF7jjO1atXdfXqVZc2KzFBDjf3DK8ZD4fyJfJrw4y+8vbMovjLV/VC33/pwJETyfp1blFd+4/E6Ptd/wuyeXL66dRtV19Pxd6co50nyE86eH9rB4C7eb5jV126eFE9OrSQm5u7EhMT1Oml3qrXqKmzz7zZ0+Tu7p5sWgBgB9tWAxgzZowKFSqU4g1U/v7+KlSokMaMGXPXcSIjI+Xv7+/yc+PkT/ejZDwkDh07qWptI1W70/v617xN+lfEP1SmWF6XPt5eHnqh8WOasWirTVUCwL35bt0qrV/9jQYMjdT4z+fozcHDtXDOF1qzfLEkKerAPi2e96XeHBzB2ucwgm1h9dtvv9Xzzz+f6vY2bdpo3bp1dx1n0KBBOnfunMtPljxVMrJUPGSu30jQkd/OaMf+3/TOhMXac+i4XmlX16VPywYVldXbU7OX/ujSfvLseeXOmd2lLXfgzT/ITp45LwCw29RPx+n5Dl1Up8HTKlq8pOo/3Uwt2nTU3JmfS5J+3r1dcX/GqvNzjdWsThU1q1NFp07EaMrHYxXWurHN1eNhZNs0gF9//VW5c+dOdXtQUJB+++23u47j5eUlLy8vlzamACAjuTkc8vJ0/VUJa1FDy77dozN/xru0/7D7qN56MVS5cmTT6f/fVv+JMjp34bL2pzCVAAAetKtXrsjNzfValZu7mxITby6v91RoM1V87AmX7UPefFlPhTZTw6bNH1idQBLbwqq/v78OHz6s4ODgFLdHR0ezxioeuIg+z2rl5p/1W8yfyu7rrRcaP6baj5XUM70+dfYpVihItSoXV4s+E5M9f83W/dp/5ISmjuiswR8tUp6cfhr6SjNNnrtR167feJCHAgApqlaztv79xRTlypNXwUWL6/Chg/r6q1lq1ORmEPXzD5Cff4DLc9yzZFGOnDlVsHCRB18wHnq2hdXatWtrwoQJeuqpp1LcPn78eD355JMPuCo87HIFZtPU4Z2UN8hP5+KvaG/UcT3T61Ot++GAs0/n5tV1/GSc1mw9kOz5iYmWnnttoj56u602TO+ri1euavaSHxUxcdmDPAwASFXPNwZq5r8+0ScfROrcn7EKDMqlxs8+p/ZdethdGpAih2VZlh073rFjh6pXr65mzZppwIABKl26tCTpwIEDGj16tJYtW6YtW7aocuXK6R7bp1LvjC4XAGy1d9XdbzgFgL+T4rl80tTPtiurlSpV0vz589W1a1d9/fXXLtty5sypuXPn3lNQBQAAQOZhW1iVpGbNmumXX37RihUrFB0dLcuyVKpUKTVq1EhZs2a1szQAAAAYwNawKkk+Pj5q2bKl3WUAAADAQLatswoAAADcDWEVAAAAxiKsAgAAwFiEVQAAABjL9rDq7u6uU6dOJWs/e/as3N352lQAAICHme1hNbXvJLh69ao8PT0fcDUAAAAwiW1LV40fP16S5HA4NGXKFGXLls25LSEhQRs3blSZMmXsKg8AAAAGsC2sjhs3TtLNK6uTJk1y+cjf09NTRYoU0aRJk+wqDwAAAAawLawePXpUklSvXj0tXLhQOXLksKsUAAAAGMr2b7Bav36987+T5q86HA67ygEAAIBBbL/BSpK++OILhYSEyMfHRz4+PnrkkUc0c+ZMu8sCAACAzWy/sjp27FgNGTJEvXv3Vs2aNSVJmzZtUs+ePXXmzBm98cYbNlcIAAAAuzis1NaOekCKFi2qYcOGqVOnTi7tM2bMUHh4uHNua3r4VOqdUeUBgBH2rhpjdwkAkKGK5/JJUz/bpwHExMSoRo0aydpr1KihmJgYGyoCAACAKWwPqyVKlNDcuXOTtX/11VcqWbKkDRUBAADAFLbPWR02bJheeOEFbdy40TlndfPmzVq7dm2KIRYAAAAPD9uvrD733HP64YcfFBQUpEWLFmnRokUKCgrSjz/+qJYtW9pdHgAAAGxk+5VVSapSpYpmzZpldxkAAAAwjO1XVgEAAIDU2HZl1c3N7a7fVOVwOHTjxo0HVBEAAABMY1tY/frrr1PdtnXrVo0fP16JiYkPsCIAAACYxraw2rx582RtBw8e1MCBA7VkyRJ16NBBERERNlQGAAAAUxgxZ/WPP/5Q9+7dFRISohs3bmjnzp2aMWOGgoOD7S4NAAAANrI1rJ47d05vvfWWSpQooZ9//llr167VkiVLVKFCBTvLAgAAgCFsmwYwevRojRo1Snnz5tWcOXNSnBYAAACAh5vDsizLjh27ubnJx8dHDRo0kLu7e6r9Fi5cmO6xfSr1/iulAYBx9q4aY3cJAJChiufySVM/266sdurU6a5LVwEAAODhZltYnT59ul27BgAAwN+EEasBAAAAACkhrAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWPcUVr/77jt17NhR1atX1/HjxyVJM2fO1KZNmzK0OAAAADzc0h1WFyxYoNDQUPn4+GjHjh26evWqJOncuXMaOXJkhhcIAACAh1e6w+qIESM0adIk/etf/5KHh4ezvWbNmtq+fXuGFgcAAICHW7rD6sGDB1W7du1k7f7+/oqLi8uImgAAAABJ9xBW8+bNq+jo6GTtmzZtUrFixTKkKAAAAEC6h7DavXt3vfbaa/rhhx/kcDj0xx9/aPbs2erXr59efvnl+1EjAAAAHlJZ0vuEgQMHKjExUfXr19elS5dUu3ZteXl5qV+/furTp8/9qBEAAAAPKYdlWda9PPHatWuKjo5WfHy8ypUrp2zZsmV0bffMp1Jvu0sAgAy1d9UYu0sAgAxVPJdPmvql+8pqEk9PT5UrV+5enw4AAADcVbrDar169eRwOFLdvm7dur9UEAAAAJAk3WG1YsWKLo+vX7+unTt3au/evercuXNG1QUAAACkP6yOGzcuxfbw8HDFx8f/5YIAAACAJOleuio1HTt21Oeff55RwwEAAAD3foPV7bZu3Spvb++MGu4v+fO/H9tdAgBkqIN/XLC7BACwRbrDaqtWrVweW5almJgYbdu2TUOGDMmwwgAAAIB0h1V/f3+Xx25ubipdurQiIiLUqFGjDCsMAAAASFdYTUhIUJcuXRQSEqIcOXLcr5oAAAAASem8wcrd3V2NGjVSXFzcfSoHAAAA+J90rwZQoUIFHTly5H7UAgAAALhId1gdMWKE+vXrp6VLlyomJkbnz593+QEAAAAyisOyLCstHSMiItS3b19lz579f0++5WtXLcuSw+FQQkJCxleZTldu2F0BAGQslq4CkNk8Wjj73TspHWHV3d1dMTEx2r9//x371alTJ007vp8IqwAyG8IqgMwmrWE1zasBJGVaE8IoAAAAHg7pmrN668f+AAAAwP2WrnVWS5UqddfAGhsb+5cKAgAAAJKkK6wOGzYs2TdYAQAAAPdLmm+wcnNz04kTJ5Q7d+77XdNfxg1WADIbbrACkNmk9QarNM9ZZb4qAAAAHrQ0h9U0XoAFAAAAMkya56wmJibezzoAAACAZNL9dasAAADAg0JYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMlcXuAiQpLi5OP/74o06dOqXExESXbZ06dbKpKgAAANjNYVmWZWcBS5YsUYcOHRQfHy8/Pz85HA7nNofDodjY2HSPeeVGRlYIAPY7+McFu0sAgAz1aOHsaepne1gtVaqUmjRpopEjRypr1qwZMiZhFUBmQ1gFkNmkNazaPmf1+PHjevXVVzMsqAIAACDzsD2shoaGatu2bXaXAQAAAAPZfoNV06ZN1b9/f+3bt08hISHy8PBw2f7ss8/aVBkAAADsZvucVTe31C/uOhwOJSQkpHtM5qwCyGyYswogs0nrnFXbr6zevlQVAAAAkMTWOavXr19XlixZtHfvXjvLAAAAgKFsDaseHh4qXLjwPX3UDwAAgMzP9tUABg8erLfffvueFv8HAABA5mb7DVaVKlVSdHS0rl+/ruDgYPn6+rps3759e7rH5AYrAJkNN1gByGz+NjdYtWjRwu4SgDSb+q/PNP7DD9ShYycNGDRYknT16lV9MPo9rVj+ja5du6YaNWtp8JChyhkUZHO1AHDTvt3btXjeTB09tF9/xp5Rv/D3VbVmXed2y7I0d8ZkrV3+tS7Gx6tM+UfV7dWBylewsMs423/YpPmz/qVfjkTL09NTZR+prAHDPnjAR4OHje1hdejQoXaXAKTJ3j27NX/ev1WqVGmX9jGjRuq7b7/VmLEfKnv27Ip8d7jefK23Zsz+t02VAoCrq1cuq0ixknoq9Fm9P6x/su3/+WqGli/6t14ZEK7ceQvoq+kT9e6gPho7da48Pb0kSd9/t1aTx72rdl16qUKlx5WYkKBfjx1+0IeCh5Dtc1aBv4NLFy9q0Fv9NXTYCPn5+zvbL1y4oK8XLFC/AQNV7YnqKle+giJGjNTOnTu0e9dO+woGgFtUqlpTbbv0UtVa9ZJtsyxL33w9R606vKjHa9RVcLGS6v1WhP48e1r/3bxBkpSQcEPTP/1A/+j+qho901r5CwarYHAx1ajT8AEfCR5GtodVNzc3ubu7p/oDmGDkiAjVrl1HT1Sv4dK+7+e9unHjuqrd0l60WHHly5dfu3bufMBVAkD6nTpxXHGxZ/VIparOtqy+2VSiTAUd2rdHknQ06oBiz5ySw+GmAT3b66UXQjXy7Vf169Fou8rGQ8T2aQBff/21y+Pr169rx44dmjFjhoYNG3bX51+9elVXr151abPcveTl5ZWhdeLhtfybZdq/f5++/Gp+sm1nz5yRh4eH/Pz8XNoDc+bUmTOnH1SJAHDP4mLPSpL8c+R0affPEai4P29uOxlzXJI0b+Zn6tTzDeXOk19L5s/SsH499NG0hcrm5y/gfrE9rDZv3jxZW+vWrVW+fHl99dVXevHFF+/4/MjIyGShdvCQofrnO+EZWSYeUidiYjT6vXc1+V+f8wcQgIdW0sJBrdp31RNP1pck9eo3VD3bN9HWjWvUsNlzdpaHTM72sJqaJ554Qi+99NJd+w0aNEhvvvmmS5vlTqhAxti372fFnj2rts+3crYlJCTop23/1b/nzNbEz6bq+vXrOn/+vMvV1dizZxUUlMuOkgEgXQICb15RPffnWeXI+b9VTM79GasixUv9f5+b7QWDizm3e3h6Kk++Ajpz6sQDrBYPIyPD6uXLlzV+/HgVKFDgrn29vJJ/5M86q8go1Z54QvMXLXFpGzp4kIoUK6YuL3ZX3rz5lCWLh378fqsaNAqVJB07ekQxMX/o0YoVbagYANInd94CCgjMqT07/qsiJW6udnLpYryiD+xVo2duXjEtVrKMPDw89cdvx1SmQkVJ0o0bN3T6RIxy5clnV+l4SNgeVnPkyCGHw+F8bFmWLly4oKxZs2rWrFk2VgZIvr7ZVLJkKZc2n6xZFeAf4Gxv+dxzen/0e/Lz91e2bNn03sgRerRiJT3yaEUbKgaA5K5cvqQTx39zPj514riORR9UNj9/BeXOqyYt22nhl1OVr0Ah5c5XQP+ePlE5cubS4/+/FmtW32xq2Ow5zf3iM+XMlVe58uTV4rkzJUlP1G5gxyHhIWJ7WP3www9dHru5uSlXrlyqVq2acuTIYU9RQDr0f+ttuTnc1Pf1V3Xt+v9/KcA/WT8YgDkOH9qnYf16Oh9/MWmcJKlOw2Z6ZUC4mr/QWVevXNHkD0fqUvwFlalQUW9HjneusSpJHV96TW7u7vp41Du6du2qSpQpr3fGTFS27H7J9gdkJNu/bvV+YBoAgMyGr1sFkNn8bb5uVZLi4uL0448/6tSpU0pMTHTZ1qlTJ5uqAgAAgN1sv7K6ZMkSdejQQfHx8fLz83OZv+pwOBQbG5vuMbmyCiCz4coqgMwmrVdWbQ+rpUqVUpMmTTRy5EhlzZo1Q8YkrALIbAirADKbtIZV279u9fjx43r11VczLKgCAAAg87A9rIaGhmrbtm12lwEAAAAD2XKD1eLFi53/3bRpU/Xv31/79u1TSEiIPDw8XPo+++yzD7o8AAAAGMKWOatubmm7oOtwOJSQkJDu8ZmzCiCzYc4qgMzG6KWrbl+eCgAAAEiJbXNW161bp3Llyun8+fPJtp07d07ly5fXd999Z0NlAAAAMIVtYfXDDz9U9+7d5eeX/Gva/P391aNHD40dO9aGygAAAGAK28Lqrl279PTTT6e6vVGjRvrpp58eYEUAAAAwjW1h9eTJk8nu/L9VlixZdPr06QdYEQAAAExjW1gtUKCA9u7dm+r23bt3K1++fA+wIgAAAJjGtrDapEkTDRkyRFeuXEm27fLlyxo6dKiaNWtmQ2UAAAAwhS3rrEo3pwFUrlxZ7u7u6t27t0qXLi1JOnDggD755BMlJCRo+/btypMnT7rHZp1VAJkN66wCyGzSus6qbWFVkn755Re9/PLLWrlypZLKcDgcCg0N1SeffKKiRYve07iEVQCZDWEVQGbztwirSf78809FR0fLsiyVLFlSOXLk+EvjEVYBZDaEVQCZzd8qrGY0wiqAzIawCiCzSWtYte0GKwAAAOBuCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgAAAGMRVgEAAGAswioAAACMRVgFAACAsQirAAAAMBZhFQAAAMYirAIAAMBYDsuyLLuLAP6Orl69qsjISA0aNEheXl52lwMAfxnnNZiIsArco/Pnz8vf31/nzp2Tn5+f3eUAwF/GeQ0mYhoAAAAAjEVYBQAAgLEIqwAAADAWYRW4R15eXho6dCg3IQDINDivwUTcYAUAAABjcWUVAAAAxiKsAgAAwFiEVQAAABiLsApkoA0bNsjhcCguLs7uUgDAhcPh0KJFi+wuA0g3wir+lsLCwuRwOPTee++5tC9atEgOhyNdYxUpUkQffvhhmvru2LFDzz//vPLkySNvb2+VLFlS3bt316FDh9K1TwDIaCdOnFCfPn1UrFgxeXl5qVChQnrmmWe0du1au0sD/hLCKv62vL29NWrUKP35558PZH9Lly7VE088oatXr2r27Nnav3+/Zs2aJX9/fw0ZMuS+7vvatWv3dXwAf2/Hjh1TlSpVtG7dOo0ZM0Z79uzRihUrVK9ePb3yyiv3bb+cm/AgEFbxt9WgQQPlzZtXkZGRd+y3YMEClS9fXl5eXipSpIg++OAD57a6devql19+0RtvvCGHw5HqVdlLly6pS5cuatKkiRYvXqwGDRqoaNGiqlatmt5//31NnjzZpf9PP/2kxx57TFmzZlWNGjV08OBB57awsDC1aNHCpf/rr7+uunXrutTVu3dvvf766woKClJoaKhzisHatWtTHRvAw6lXr15yOBz68ccf9dxzz6lUqVIqX7683nzzTX3//ffOfmfOnFHLli2VNWtWlSxZUosXL3Zumz59ugICAlzGvf3TqvDwcFWsWFFTpkxR0aJF5e3tLenmFIMpU6akOjbwVxBW8bfl7u6ukSNHasKECfr9999T7PPTTz+pTZs2atu2rfbs2aPw8HANGTJE06dPlyQtXLhQBQsWVEREhGJiYhQTE5PiOCtXrtSZM2c0YMCAFLfffoIfPHiwPvjgA23btk1ZsmRR165d0318M2bMkKenpzZv3qxJkyZl6NgAMo/Y2FitWLFCr7zyinx9fZNtv/X8NGzYMLVp00a7d+9WkyZN1KFDB8XGxqZrf9HR0VqwYIEWLlyonTt3ZujYQEoIq/hba9mypSpWrKihQ4emuH3s2LGqX7++hgwZolKlSiksLEy9e/fWmDFjJEmBgYFyd3dX9uzZlTdvXuXNmzfFcaKioiRJZcqUSVNd7777rurUqaNy5cpp4MCB2rJli65cuZKuYytZsqRGjx6t0qVLq3Tp0hk6NoDMIzo6WpZlpen8FBYWpnbt2qlEiRIaOXKk4uPj9eOPP6Zrf9euXdMXX3yhSpUq6ZFHHsnQsYGUEFbxtzdq1CjNmDFD+/fvT7Zt//79qlmzpktbzZo1FRUVpYSEhDTvI71f9HbrCTxfvnySpFOnTqVrjCpVqty3sQFkHuk5P916/vD19ZWfn1+6zx/BwcHKlSvXfRkbSAlhFX97tWvXVmhoqAYNGnTf9lGqVClJ0oEDB9LU38PDw/nfSfO9EhMTJUlubm7J/s/l+vXrycZI6eO8u40N4OFTsmRJORyONJ2fbj1/SDfPIffj3HT72MBfQVhFpvDee+9pyZIl2rp1q0t72bJltXnzZpe2zZs3q1SpUnJ3d5ckeXp63vUqa6NGjRQUFKTRo0enuD0966rmypUr2dzYW+d9AUB6BAYGKjQ0VJ988okuXryYbHtaz0+5cuXShQsXXMbg3AQTEFaRKYSEhKhDhw4aP368S3vfvn21du1aDR8+XIcOHdKMGTP08ccfq1+/fs4+RYoU0caNG3X8+HGdOXMmxfF9fX01ZcoULVu2TM8++6zWrFmjY8eOadu2bRowYIB69uyZ5lqfeuopbdu2TV988YWioqI0dOhQ7d27994OHAAkffLJJ0pISFDVqlW1YMECRUVFaf/+/Ro/fryqV6+epjGqVaumrFmz6u2339bhw4f15ZdfOm9GBexEWEWmERERkewjp8qVK2vu3Ln697//rQoVKuidd95RRESEwsLCXJ537NgxFS9ePMV5WEmaN2+uLVu2yMPDQ+3bt1eZMmXUrl07nTt3TiNGjEhznaGhoRoyZIgGDBigxx9/XBcuXFCnTp3SfbwAkKRYsWLavn276tWrp759+6pChQpq2LCh1q5dq4kTJ6ZpjMDAQM2aNUvffPONQkJCNGfOHIWHh9/fwoE0cFjpvXMEAAAAeEC4sgoAAABjEVYBAABgLMIqAAAAjEVYBQAAgLEIqwAAADAWYRUAAADGIqwCAADAWIRVAAAAGIuwCgCGCQsLU4sWLZyP69atq9dff/2B17FhwwY5HI40f7c8ANwPhFUASKOwsDA5HA45HA55enqqRIkSioiI0I0bN+7rfhcuXKjhw4enqS8BE0Bmk8XuAgDg7+Tpp5/WtGnTdPXqVX3zzTd65ZVX5OHhoUGDBrn0u3btmjw9PTNkn4GBgRkyDgD8HXFlFQDSwcvLS3nz5lVwcLBefvllNWjQQIsXL3Z+dP/uu+8qf/78Kl26tCTpt99+U5s2bRQQEKDAwEA1b95cx44dc46XkJCgN998UwEBAcqZM6cGDBggy7Jc9nn7NICrV6/qrbfeUqFCheTl5aUSJUpo6tSpOnbsmOrVqydJypEjhxwOh8LCwiRJiYmJioyMVNGiReXj46NHH31U8+fPd9nPN998o1KlSsnHx0f16tVzqRMA7EJYBYC/wMfHR9euXZMkrV27VgcPHtTq1au1dOlSXb9+XaGhocqePbu+++47bd68WdmyZdPTTz/tfM4HH3yg6dOn6/PPP9emTZsUGxurr7/++o777NSpk+bMmaPx48dr//79mjx5srJly6ZChQppwYIFkqSDBw8qJiZGH330kSQpMjJSX3zxhSZNmqSff/5Zb7zxhjp27Khvv/1W0s1Q3apVKz3zzDPauXOnunXrpoEDB96vlw0A0oxpAABwDyzL0tq1a7Vy5Ur16dNHp0+flq+vr6ZMmeL8+H/WrFlKTEzUlClT5HA4JEnTpk1TQECANmzYoEaNGunDDz/UoEGD1KpVK0nSpEmTtHLlylT3e+jQIc2dO1erV69WgwYNJEnFihVzbk+aMpA7d24FBARIunklduTIkVqzZo2qV6/ufM6mTZs0efJk1alTRxMnTlTx4sX1wQcfSJJKly6tPXv2aNSoURn4qgFA+hFWASAdli5dqmzZsun69etKTExU+/btFR4erldeeUUhISEu81R37dql6OhoZc+e3WWMK1eu6PDhwzp37pxiYmJUrVo157YsWbLoscceSzYVIMnOnTvl7u6uOnXqpLnm6OhoXbp0SQ0bNnRpv3btmipVqiRJ2r9/v0sdkpzBFgDsRFgFgHSoV6+eJk6cKE9PT+XPn19ZsvzvNOrr6+vSNz4+XlWqVNHs2bOTjZMrV6572r+Pj0+6nxMfHy9JWrZsmQoUKOCyzcvL657qAIAHhbAKAOng6+urEiVKpKlv5cqV9dVXXyl37tzy8/NLsU++fPn0ww8/qHbt2pKkGzdu6KefflLlypVT7B8SEqLExER9++23zmkAt0q6spuQkOBsK1eunLy8vPTrr7+mekW2bNmyWrx4sUvb999/f/eDBID7jBusAOA+6dChg4KCgtS8eXN99913Onr0qDZs2KBXX31Vv//+uyTptdde03vvvadFixbpwIED6tWr1x3XSC1SpIg6d+6srl27atGiRc4x586dK0kKDg6Ww+HQ0qVLdfr0acXHxyt79uzq16+f3njjDc2YMUOHDx/W9u3bNWHCBM2YMUOS1LNnT0VFRal///46ePCgvvzyS02fPv1+v0QAcFeEVQC4T7JmzaqNGzeqcOHCatWqlcqWLasXX3xRV65ccV5p7du3r/7xj3+oc+fOql69urJnz66WLVvecdyJEyeqdevW6tWrl8qUKaPu3bvr4sWLkqQCBQpo2LBhGjhwoPLkyaPevXtLkoYPH64hQ4YoMjJSZcuW1dNPP61ly5apaNGikqTChQtrwYIFWrRokR599FFNmjRJI0eOvI+vDgCkjcNKbRY/AAAAYDOurAIAAMBYhFUAAAAYi7AKAAAAYxFWAQAAYCzCKgAAAIxFWAUAAICxCKsAAAAwFmEVAAAAxiKsAgAAwFiEVQAAABiLsAoAAABj/R/sSkC4QAYqXQAAAABJRU5ErkJggg==",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Decision Tree Model:\n",
            "Accuracy: 0.7466666666666667\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "   Not Churn       0.85      0.80      0.83       454\n",
            "       Churn       0.48      0.57      0.52       146\n",
            "\n",
            "    accuracy                           0.75       600\n",
            "   macro avg       0.67      0.69      0.67       600\n",
            "weighted avg       0.76      0.75      0.75       600\n",
            "\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Random Forest Model:\n",
            "Accuracy: 0.8033333333333333\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "   Not Churn       0.88      0.85      0.87       454\n",
            "       Churn       0.59      0.65      0.62       146\n",
            "\n",
            "    accuracy                           0.80       600\n",
            "   macro avg       0.73      0.75      0.74       600\n",
            "weighted avg       0.81      0.80      0.81       600\n",
            "\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Evaluate models\n",
        "def evaluate_model(predictions, model_name):\n",
        "    accuracy = accuracy_score(y_test, predictions)\n",
        "    report = classification_report(y_test, predictions, target_names=['Not Churn', 'Churn'])\n",
        "    confusion = confusion_matrix(y_test, predictions)\n",
        "\n",
        "    print(f\"{model_name} Model:\")\n",
        "    print(\"Accuracy:\", accuracy)\n",
        "    print(\"Classification Report:\\n\", report)\n",
        "\n",
        "    # Plot confusion matrix\n",
        "    plt.figure(figsize=(8, 6))\n",
        "    sns.heatmap(confusion, annot=True, fmt='d', cmap='Blues', cbar=False,\n",
        "                xticklabels=['Not Churn', 'Churn'], yticklabels=['Not Churn', 'Churn'])\n",
        "    plt.xlabel('Predicted')\n",
        "    plt.ylabel('True')\n",
        "    plt.title(f'Confusion Matrix - {model_name} Model')\n",
        "    plt.show()\n",
        "\n",
        "evaluate_model(lr_predictions, \"Logistic Regression\")\n",
        "evaluate_model(dt_predictions, \"Decision Tree\")\n",
        "evaluate_model(rf_predictions, \"Random Forest\")"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "venv",
      "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": "3.11.4"
    },
    "orig_nbformat": 4,
    "colab": {
      "provenance": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}