Trial 1_ Churn Prediction Model 4 (XGBoost).ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"IElxH53uRgT8"},"source":["# Setting up"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3032,"status":"ok","timestamp":1677749911434,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"nhq53RG6pVWU","outputId":"91ff0838-df29-4f0b-bcdc-734373678060"},"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}],"source":["from google.colab import drive\n","drive.mount(\"/content/drive\")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":19,"status":"ok","timestamp":1677749911435,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"u30eksl4pe_r","outputId":"9830c841-222c-480a-86d4-f9785469a17f"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/drive/MyDrive/Projects/1. Churn Prediction\n"]}],"source":["%cd /content/drive/MyDrive/Projects/1. Churn Prediction/"]},{"cell_type":"markdown","metadata":{"id":"aBN6z-oyRkbX"},"source":["# Importing dataset"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"d_6OjWFnpe9a"},"outputs":[],"source":["import os\n","import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import plotly.express as px\n","import plotly.graph_objects as go"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"xVkdbEwJpe60"},"outputs":[],"source":["DATASET = \"output_cleaned_dataset.csv\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AvQNUrvvpe4b"},"outputs":[],"source":["df = pd.read_csv(DATASET)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":17,"status":"ok","timestamp":1677749911437,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"G0Z-eEKnpe11","outputId":"8ed3ddd2-457d-4de7-cf21-7aa0e801eddf"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(7043, 20)"]},"metadata":{},"execution_count":1002}],"source":["df.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":14,"status":"ok","timestamp":1677749911437,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"RP31VQJ5p3ZA","outputId":"091482f9-aaa6-4033-cbba-ae5169179008"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['CustomerID', 'Gender', 'Age', 'Married', 'Number of Dependents',\n","       'Zip Code', 'Number of Referrals', 'Tenure in Months', 'Offer',\n","       'Phone Service', 'Internet Service', 'Contract', 'Paperless Billing',\n","       'Payment Method', 'Monthly Charge', 'Total Charges', 'Total Refunds',\n","       'Customer Status', 'Churn Category', 'Churn Reason'],\n","      dtype='object')"]},"metadata":{},"execution_count":1003}],"source":["df.columns"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":409},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1677749911437,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"3DFK5YNxpezW","outputId":"2693c1a0-0608-45cd-a4d5-7ee7d89dc151"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["   CustomerID  Gender  Age Married  Number of Dependents  Zip Code  \\\n","0  0002-ORFBO  Female   37     Yes                     0     93225   \n","1  0003-MKNFE    Male   46      No                     0     91206   \n","2  0004-TLHLJ    Male   50      No                     0     92627   \n","3  0011-IGKFF    Male   78     Yes                     0     94553   \n","4  0013-EXCHZ  Female   75     Yes                     0     93010   \n","\n","   Number of Referrals  Tenure in Months    Offer Phone Service  \\\n","0                    2                 9     None           Yes   \n","1                    0                 9     None           Yes   \n","2                    0                 4  Offer E           Yes   \n","3                    1                13  Offer D           Yes   \n","4                    3                 3     None           Yes   \n","\n","  Internet Service        Contract Paperless Billing   Payment Method  \\\n","0              Yes        One Year               Yes      Credit Card   \n","1              Yes  Month-to-Month                No      Credit Card   \n","2              Yes  Month-to-Month               Yes  Bank Withdrawal   \n","3              Yes  Month-to-Month               Yes  Bank Withdrawal   \n","4              Yes  Month-to-Month               Yes      Credit Card   \n","\n","   Monthly Charge  Total Charges  Total Refunds Customer Status  \\\n","0            65.6         974.81           0.00          Stayed   \n","1            -4.0         648.61          38.33          Stayed   \n","2            73.9         415.45           0.00         Churned   \n","3            98.0        1599.51           0.00         Churned   \n","4            83.9         289.54           0.00         Churned   \n","\n","    Churn Category                   Churn Reason  \n","0              NaN                            NaN  \n","1              NaN                            NaN  \n","2       Competitor  Competitor had better devices  \n","3  Dissatisfaction        Product dissatisfaction  \n","4  Dissatisfaction            Network reliability  "],"text/html":["\n","  <div id=\"df-09d8c93a-0662-43c0-8369-1e7518b66c6a\">\n","    <div class=\"colab-df-container\">\n","      <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","    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<td>37</td>\n","      <td>Yes</td>\n","      <td>0</td>\n","      <td>93225</td>\n","      <td>2</td>\n","      <td>9</td>\n","      <td>None</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>One Year</td>\n","      <td>Yes</td>\n","      <td>Credit Card</td>\n","      <td>65.6</td>\n","      <td>974.81</td>\n","      <td>0.00</td>\n","      <td>Stayed</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0003-MKNFE</td>\n","      <td>Male</td>\n","      <td>46</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>91206</td>\n","      <td>0</td>\n","      <td>9</td>\n","      <td>None</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Month-to-Month</td>\n","      <td>No</td>\n","      <td>Credit Card</td>\n","      <td>-4.0</td>\n","      <td>648.61</td>\n","      <td>38.33</td>\n","      <td>Stayed</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0004-TLHLJ</td>\n","      <td>Male</td>\n","      <td>50</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>92627</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>Offer E</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Month-to-Month</td>\n","      <td>Yes</td>\n","      <td>Bank Withdrawal</td>\n","      <td>73.9</td>\n","      <td>415.45</td>\n","      <td>0.00</td>\n","      <td>Churned</td>\n","      <td>Competitor</td>\n","      <td>Competitor had better devices</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0011-IGKFF</td>\n","      <td>Male</td>\n","      <td>78</td>\n","      <td>Yes</td>\n","      <td>0</td>\n","      <td>94553</td>\n","      <td>1</td>\n","      <td>13</td>\n","      <td>Offer D</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Month-to-Month</td>\n","      <td>Yes</td>\n","      <td>Bank Withdrawal</td>\n","      <td>98.0</td>\n","      <td>1599.51</td>\n","      <td>0.00</td>\n","      <td>Churned</td>\n","      <td>Dissatisfaction</td>\n","      <td>Product dissatisfaction</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0013-EXCHZ</td>\n","      <td>Female</td>\n","      <td>75</td>\n","      <td>Yes</td>\n","      <td>0</td>\n","      <td>93010</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>None</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Month-to-Month</td>\n","      <td>Yes</td>\n","      <td>Credit Card</td>\n","      <td>83.9</td>\n","      <td>289.54</td>\n","      <td>0.00</td>\n","      <td>Churned</td>\n","      <td>Dissatisfaction</td>\n","      <td>Network reliability</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-09d8c93a-0662-43c0-8369-1e7518b66c6a')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        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Category\", \"Churn Reason\"], inplace=True)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1677749911438,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"FvEUvgGmpesr","outputId":"c532723c-b441-41ad-98f4-c95c0f2aa0bb"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["Stayed     4720\n","Churned    1869\n","Joined      454\n","Name: Customer Status, dtype: int64"]},"metadata":{},"execution_count":1006}],"source":["df[\"Customer Status\"].value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"eCbg1FEFqN5a"},"outputs":[],"source":["df = df[df[\"Customer Status\"]!=\"Joined\"]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":16,"status":"ok","timestamp":1677749911916,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"U1CJS-VTqXHj","outputId":"beccc015-da2a-410e-9315-7b255b2f241f"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["Stayed     4720\n","Churned    1869\n","Name: Customer Status, dtype: int64"]},"metadata":{},"execution_count":1008}],"source":["# unbalanced dataset - will deal with this later\n","\n","df[\"Customer Status\"].value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":16,"status":"ok","timestamp":1677749911917,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"t1-LrcZ2qZRE","outputId":"e12848e0-4f2a-498e-a753-abacbf2855f0"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(6589, 17)"]},"metadata":{},"execution_count":1009}],"source":["df.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":391},"executionInfo":{"elapsed":12,"status":"ok","timestamp":1677749911917,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"MAIFdIiH7EzZ","outputId":"16e3f33c-633d-44c2-b4dd-9a6d0596596c"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["   Gender  Age Married  Number of Dependents  Zip Code  Number of Referrals  \\\n","0  Female   37     Yes                     0     93225                    2   \n","1    Male   46      No                     0     91206                    0   \n","2    Male   50      No                     0     92627                    0   \n","3    Male   78     Yes                     0     94553                    1   \n","4  Female   75     Yes                     0     93010                    3   \n","\n","   Tenure in Months    Offer Phone Service Internet Service        Contract  \\\n","0                 9     None           Yes              Yes        One Year   \n","1                 9     None           Yes              Yes  Month-to-Month   \n","2                 4  Offer E           Yes              Yes  Month-to-Month   \n","3                13  Offer D           Yes              Yes  Month-to-Month   \n","4                 3     None           Yes              Yes  Month-to-Month   \n","\n","  Paperless Billing   Payment Method  Monthly Charge  Total Charges  \\\n","0               Yes      Credit Card            65.6         974.81   \n","1                No      Credit Card            -4.0         648.61   \n","2               Yes  Bank Withdrawal            73.9         415.45   \n","3               Yes  Bank Withdrawal            98.0        1599.51   \n","4               Yes      Credit Card            83.9         289.54   \n","\n","   Total Refunds Customer Status  \n","0           0.00          Stayed  \n","1          38.33          Stayed  \n","2           0.00         Churned  \n","3           0.00         Churned  \n","4           0.00         Churned  "],"text/html":["\n","  <div id=\"df-e9187cee-73a7-4f49-a121-0a98a5d4dd14\">\n","    <div class=\"colab-df-container\">\n","      <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>Age</th>\n","      <th>Married</th>\n","      <th>Number of Dependents</th>\n","      <th>Zip Code</th>\n","      <th>Number of Referrals</th>\n","      <th>Tenure in Months</th>\n","      <th>Offer</th>\n","      <th>Phone Service</th>\n","      <th>Internet Service</th>\n","      <th>Contract</th>\n","      <th>Paperless Billing</th>\n","      <th>Payment Method</th>\n","      <th>Monthly Charge</th>\n","      <th>Total Charges</th>\n","      <th>Total Refunds</th>\n","      <th>Customer Status</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Female</td>\n","      <td>37</td>\n","      <td>Yes</td>\n","      <td>0</td>\n","      <td>93225</td>\n","      <td>2</td>\n","      <td>9</td>\n","      <td>None</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>One Year</td>\n","      <td>Yes</td>\n","      <td>Credit Card</td>\n","      <td>65.6</td>\n","      <td>974.81</td>\n","      <td>0.00</td>\n","      <td>Stayed</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Male</td>\n","      <td>46</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>91206</td>\n","      <td>0</td>\n","      <td>9</td>\n","      <td>None</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Month-to-Month</td>\n","      <td>No</td>\n","      <td>Credit Card</td>\n","      <td>-4.0</td>\n","      <td>648.61</td>\n","      <td>38.33</td>\n","      <td>Stayed</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Male</td>\n","      <td>50</td>\n","      <td>No</td>\n","      <td>0</td>\n","      <td>92627</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>Offer E</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Month-to-Month</td>\n","      <td>Yes</td>\n","      <td>Bank Withdrawal</td>\n","      <td>73.9</td>\n","      <td>415.45</td>\n","      <td>0.00</td>\n","      <td>Churned</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Male</td>\n","      <td>78</td>\n","      <td>Yes</td>\n","      <td>0</td>\n","      <td>94553</td>\n","      <td>1</td>\n","      <td>13</td>\n","      <td>Offer D</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Month-to-Month</td>\n","      <td>Yes</td>\n","      <td>Bank Withdrawal</td>\n","      <td>98.0</td>\n","      <td>1599.51</td>\n","      <td>0.00</td>\n","      <td>Churned</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Female</td>\n","      <td>75</td>\n","      <td>Yes</td>\n","      <td>0</td>\n","      <td>93010</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>None</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Month-to-Month</td>\n","      <td>Yes</td>\n","      <td>Credit Card</td>\n","      <td>83.9</td>\n","      <td>289.54</td>\n","      <td>0.00</td>\n","      <td>Churned</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e9187cee-73a7-4f49-a121-0a98a5d4dd14')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","    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'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-e9187cee-73a7-4f49-a121-0a98a5d4dd14');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":1010}],"source":["df.head()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1677749911917,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"A1ExORJQ90qw","outputId":"618afa28-147c-4a79-e85f-0377b409e7bc"},"outputs":[{"output_type":"stream","name":"stdout","text":["Unique values of categorical columns\n","\n","Gender:\n","\tUniques: ['Female' 'Male']\n","\tNumber of uniques: 2\n","\n","Married:\n","\tUniques: ['Yes' 'No']\n","\tNumber of uniques: 2\n","\n","Offer:\n","\tUniques: ['None' 'Offer E' 'Offer D' 'Offer A' 'Offer B' 'Offer C']\n","\tNumber of uniques: 6\n","\n","Phone Service:\n","\tUniques: ['Yes' 'No']\n","\tNumber of uniques: 2\n","\n","Internet Service:\n","\tUniques: ['Yes' 'No']\n","\tNumber of uniques: 2\n","\n","Contract:\n","\tUniques: ['One Year' 'Month-to-Month' 'Two Year']\n","\tNumber of uniques: 3\n","\n","Paperless Billing:\n","\tUniques: ['Yes' 'No']\n","\tNumber of uniques: 2\n","\n","Payment Method:\n","\tUniques: ['Credit Card' 'Bank Withdrawal' 'Mailed Check']\n","\tNumber of uniques: 3\n","\n","Customer Status:\n","\tUniques: ['Stayed' 'Churned']\n","\tNumber of uniques: 2\n","\n"]}],"source":["print(\"Unique values of categorical columns\\n\")\n","for col in df.columns:\n","  if not df[col].dtype in [\"int64\", \"float64\"]: \n","    print(f\"{col}:\")\n","    print(f\"\\tUniques: {df[col].unique()}\")\n","    print(f\"\\tNumber of uniques: {df[col].nunique()}\\n\")"]},{"cell_type":"markdown","metadata":{"id":"TvJQJQVRRxv0"},"source":["## Label Encoding"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"yw3DTVD28kMd"},"outputs":[],"source":["# label encoding\n","\n","from sklearn.preprocessing import LabelEncoder\n","cols = [\"Gender\", \"Married\", \"Phone Service\", \"Internet Service\", \"Paperless Billing\"]\n","le = LabelEncoder()\n","for col in cols:\n","  df[col] = le.fit_transform(df[col])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":391},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1677749911918,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"VAsSSxmO_D7Q","outputId":"75fa55de-a48d-49e9-dfd4-87eb0d664bc1"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["   Gender  Age  Married  Number of Dependents  Zip Code  Number of Referrals  \\\n","0       0   37        1                     0     93225                    2   \n","1       1   46        0                     0     91206                    0   \n","2       1   50        0                     0     92627                    0   \n","3       1   78        1                     0     94553                    1   \n","4       0   75        1                     0     93010                    3   \n","\n","   Tenure in Months    Offer  Phone Service  Internet Service        Contract  \\\n","0                 9     None              1                 1        One Year   \n","1                 9     None              1                 1  Month-to-Month   \n","2                 4  Offer E              1                 1  Month-to-Month   \n","3                13  Offer D              1                 1  Month-to-Month   \n","4                 3     None              1                 1  Month-to-Month   \n","\n","   Paperless Billing   Payment Method  Monthly Charge  Total Charges  \\\n","0                  1      Credit Card            65.6         974.81   \n","1                  0      Credit Card            -4.0         648.61   \n","2                  1  Bank Withdrawal            73.9         415.45   \n","3                  1  Bank Withdrawal            98.0        1599.51   \n","4                  1      Credit Card            83.9         289.54   \n","\n","   Total Refunds Customer Status  \n","0           0.00          Stayed  \n","1          38.33          Stayed  \n","2           0.00         Churned  \n","3           0.00         Churned  \n","4           0.00         Churned  "],"text/html":["\n","  <div id=\"df-8d241cd1-6979-428f-ae55-afc8b4101f63\">\n","    <div class=\"colab-df-container\">\n","      <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>Age</th>\n","      <th>Married</th>\n","      <th>Number of Dependents</th>\n","      <th>Zip Code</th>\n","      <th>Number of Referrals</th>\n","      <th>Tenure in Months</th>\n","      <th>Offer</th>\n","      <th>Phone Service</th>\n","      <th>Internet Service</th>\n","      <th>Contract</th>\n","      <th>Paperless Billing</th>\n","      <th>Payment Method</th>\n","      <th>Monthly Charge</th>\n","      <th>Total Charges</th>\n","      <th>Total Refunds</th>\n","      <th>Customer Status</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>37</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>93225</td>\n","      <td>2</td>\n","      <td>9</td>\n","      <td>None</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>One Year</td>\n","      <td>1</td>\n","      <td>Credit Card</td>\n","      <td>65.6</td>\n","      <td>974.81</td>\n","      <td>0.00</td>\n","      <td>Stayed</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>46</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>91206</td>\n","      <td>0</td>\n","      <td>9</td>\n","      <td>None</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Month-to-Month</td>\n","      <td>0</td>\n","      <td>Credit Card</td>\n","      <td>-4.0</td>\n","      <td>648.61</td>\n","      <td>38.33</td>\n","      <td>Stayed</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>50</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>92627</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>Offer E</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Month-to-Month</td>\n","      <td>1</td>\n","      <td>Bank Withdrawal</td>\n","      <td>73.9</td>\n","      <td>415.45</td>\n","      <td>0.00</td>\n","      <td>Churned</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>78</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>94553</td>\n","      <td>1</td>\n","      <td>13</td>\n","      <td>Offer D</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Month-to-Month</td>\n","      <td>1</td>\n","      <td>Bank Withdrawal</td>\n","      <td>98.0</td>\n","      <td>1599.51</td>\n","      <td>0.00</td>\n","      <td>Churned</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0</td>\n","      <td>75</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>93010</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>None</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Month-to-Month</td>\n","      <td>1</td>\n","      <td>Credit Card</td>\n","      <td>83.9</td>\n","      <td>289.54</td>\n","      <td>0.00</td>\n","      <td>Churned</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8d241cd1-6979-428f-ae55-afc8b4101f63')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":1013}],"source":["df.head()"]},{"cell_type":"markdown","metadata":{"id":"bwTF2GhdR0wC"},"source":["## Splitting dataset into X and y"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"TfH6cfjT_NAo"},"outputs":[],"source":["X = df.iloc[:, :-1]\n","y = df[\"Customer Status\"]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":696},"executionInfo":{"elapsed":62,"status":"ok","timestamp":1677749912758,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"6Y_9U0Xx_Sa1","outputId":"f8d845b1-879b-454c-c450-873fabe80d49"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["      Gender  Age  Married  Number of Dependents  Zip Code  \\\n","0          0   37        1                     0     93225   \n","1          1   46        0                     0     91206   \n","2          1   50        0                     0     92627   \n","3          1   78        1                     0     94553   \n","4          0   75        1                     0     93010   \n","...      ...  ...      ...                   ...       ...   \n","7037       0   36        0                     0     92028   \n","7038       0   20        0                     0     91941   \n","7039       1   40        1                     0     95367   \n","7041       1   21        1                     0     92075   \n","7042       1   36        1                     0     96125   \n","\n","      Number of Referrals  Tenure in Months    Offer  Phone Service  \\\n","0                       2                 9     None              1   \n","1                       0                 9     None              1   \n","2                       0                 4  Offer E              1   \n","3                       1                13  Offer D              1   \n","4                       3                 3     None              1   \n","...                   ...               ...      ...            ...   \n","7037                    0                 4     None              1   \n","7038                    0                13  Offer D              1   \n","7039                    1                22  Offer D              1   \n","7041                    5                67  Offer A              1   \n","7042                    1                63     None              0   \n","\n","      Internet Service        Contract  Paperless Billing   Payment Method  \\\n","0                    1        One Year                  1      Credit Card   \n","1                    1  Month-to-Month                  0      Credit Card   \n","2                    1  Month-to-Month                  1  Bank Withdrawal   \n","3                    1  Month-to-Month                  1  Bank Withdrawal   \n","4                    1  Month-to-Month                  1      Credit Card   \n","...                ...             ...                ...              ...   \n","7037                 0  Month-to-Month                  0  Bank Withdrawal   \n","7038                 1        One Year                  0      Credit Card   \n","7039                 1  Month-to-Month                  1  Bank Withdrawal   \n","7041                 1        Two Year                  0      Credit Card   \n","7042                 1        Two Year                  0  Bank Withdrawal   \n","\n","      Monthly Charge  Total Charges  Total Refunds  \n","0              65.60         974.81           0.00  \n","1              -4.00         648.61          38.33  \n","2              73.90         415.45           0.00  \n","3              98.00        1599.51           0.00  \n","4              83.90         289.54           0.00  \n","...              ...            ...            ...  \n","7037           20.95          93.54           0.00  \n","7038           55.15        1349.74           0.00  \n","7039           85.10        2230.10           0.00  \n","7041           67.85        4769.69           0.00  \n","7042           59.00        3707.60           0.00  \n","\n","[6589 rows x 16 columns]"],"text/html":["\n","  <div id=\"df-36bf1fc0-122a-430d-90fe-58d66c9686fb\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe 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     <td>1</td>\n","      <td>0</td>\n","      <td>93225</td>\n","      <td>2</td>\n","      <td>9</td>\n","      <td>None</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>One Year</td>\n","      <td>1</td>\n","      <td>Credit Card</td>\n","      <td>65.60</td>\n","      <td>974.81</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>46</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>91206</td>\n","      <td>0</td>\n","      <td>9</td>\n","      <td>None</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Month-to-Month</td>\n","      <td>0</td>\n","      <td>Credit Card</td>\n","      <td>-4.00</td>\n","      <td>648.61</td>\n","      <td>38.33</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>50</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>92627</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>Offer E</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Month-to-Month</td>\n","      <td>1</td>\n","      <td>Bank Withdrawal</td>\n","      <td>73.90</td>\n","      <td>415.45</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>78</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>94553</td>\n","      <td>1</td>\n","      <td>13</td>\n","      <td>Offer D</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Month-to-Month</td>\n","      <td>1</td>\n","      <td>Bank Withdrawal</td>\n","      <td>98.00</td>\n","      <td>1599.51</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0</td>\n","      <td>75</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>93010</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>None</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Month-to-Month</td>\n","      <td>1</td>\n","      <td>Credit Card</td>\n","      <td>83.90</td>\n","      <td>289.54</td>\n","      <td>0.00</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","    </tr>\n","    <tr>\n","      <th>7037</th>\n","      <td>0</td>\n","      <td>36</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>92028</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>None</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>Month-to-Month</td>\n","      <td>0</td>\n","      <td>Bank Withdrawal</td>\n","      <td>20.95</td>\n","      <td>93.54</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>7038</th>\n","      <td>0</td>\n","      <td>20</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>91941</td>\n","      <td>0</td>\n","      <td>13</td>\n","      <td>Offer D</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>One Year</td>\n","      <td>0</td>\n","      <td>Credit Card</td>\n","      <td>55.15</td>\n","      <td>1349.74</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>7039</th>\n","      <td>1</td>\n","      <td>40</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>95367</td>\n","      <td>1</td>\n","      <td>22</td>\n","      <td>Offer D</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Month-to-Month</td>\n","      <td>1</td>\n","      <td>Bank Withdrawal</td>\n","      <td>85.10</td>\n","      <td>2230.10</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>7041</th>\n","      <td>1</td>\n","      <td>21</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>92075</td>\n","      <td>5</td>\n","      <td>67</td>\n","      <td>Offer A</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Two Year</td>\n","      <td>0</td>\n","      <td>Credit Card</td>\n","      <td>67.85</td>\n","      <td>4769.69</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>7042</th>\n","      <td>1</td>\n","      <td>36</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>96125</td>\n","      <td>1</td>\n","      <td>63</td>\n","      <td>None</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>Two Year</td>\n","      <td>0</td>\n","      <td>Bank Withdrawal</td>\n","      <td>59.00</td>\n","      <td>3707.60</td>\n","      <td>0.00</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>6589 rows × 16 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-36bf1fc0-122a-430d-90fe-58d66c9686fb')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","    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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":1015}],"source":["X"]},{"cell_type":"markdown","metadata":{"id":"x1bhIOTHR5HZ"},"source":["## Encoding dependent variable"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":62,"status":"ok","timestamp":1677749912759,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"1btNUlra_UqS","outputId":"fcd5625b-94fe-4098-a022-4aca174be700"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0        Stayed\n","1        Stayed\n","2       Churned\n","3       Churned\n","4       Churned\n","         ...   \n","7037    Churned\n","7038     Stayed\n","7039    Churned\n","7041     Stayed\n","7042     Stayed\n","Name: Customer Status, Length: 6589, dtype: object"]},"metadata":{},"execution_count":1016}],"source":["y"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"rr4Jai-eOXhd"},"outputs":[],"source":["# encoding dependent variable\n","# (Stayed = 0, Churned = 1)\n","\n","y = y.apply(lambda x: 0 if x == \"Stayed\" else 1)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":59,"status":"ok","timestamp":1677749912759,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"HpA7ChwwOeVo","outputId":"73d5545c-7a56-465e-85f9-546980423a39"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0       0\n","1       0\n","2       1\n","3       1\n","4       1\n","       ..\n","7037    1\n","7038    0\n","7039    1\n","7041    0\n","7042    0\n","Name: Customer Status, Length: 6589, dtype: int64"]},"metadata":{},"execution_count":1018}],"source":["y"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":56,"status":"ok","timestamp":1677749912760,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"P_akf044PfFC","outputId":"5eaafaa5-3582-4ff5-ce91-869b13df3cc1"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([0, 1])"]},"metadata":{},"execution_count":1019}],"source":["y.unique()"]},{"cell_type":"markdown","metadata":{"id":"dWeMlRnVSBkl"},"source":["## One hot encoding"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"SBbwWhBSqZ9U"},"outputs":[],"source":["# one hot encoding\n","\n","X = pd.get_dummies(X)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":334},"executionInfo":{"elapsed":55,"status":"ok","timestamp":1677749912762,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"y4PvhQ3r7QxN","outputId":"a1018ea2-6199-4661-8699-6f938c3a0e61"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["   Gender  Age  Married  Number of Dependents  Zip Code  Number of Referrals  \\\n","0       0   37        1                     0     93225                    2   \n","1       1   46        0                     0     91206                    0   \n","2       1   50        0                     0     92627                    0   \n","3       1   78        1                     0     94553                    1   \n","4       0   75        1                     0     93010                    3   \n","\n","   Tenure in Months  Phone Service  Internet Service  Paperless Billing  ...  \\\n","0                 9              1                 1                  1  ...   \n","1                 9              1                 1                  0  ...   \n","2                 4              1                 1                  1  ...   \n","3                13              1                 1                  1  ...   \n","4                 3              1                 1                  1  ...   \n","\n","   Offer_Offer B  Offer_Offer C  Offer_Offer D  Offer_Offer E  \\\n","0              0              0              0              0   \n","1              0              0              0              0   \n","2              0              0              0              1   \n","3              0              0              1              0   \n","4              0              0              0              0   \n","\n","   Contract_Month-to-Month  Contract_One Year  Contract_Two Year  \\\n","0                        0                  1                  0   \n","1                        1                  0                  0   \n","2                        1                  0                  0   \n","3                        1                  0                  0   \n","4                        1                  0                  0   \n","\n","   Payment Method_Bank Withdrawal  Payment Method_Credit Card  \\\n","0                               0                           1   \n","1                               0                           1   \n","2                               1                           0   \n","3                               1                           0   \n","4                               0                           1   \n","\n","   Payment Method_Mailed Check  \n","0                            0  \n","1                            0  \n","2                            0  \n","3                            0  \n","4                            0  \n","\n","[5 rows x 25 columns]"],"text/html":["\n","  <div id=\"df-c9e3bfb7-07ab-4155-ae30-99da137ea26f\">\n","    <div class=\"colab-df-container\">\n","      <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>Age</th>\n","      <th>Married</th>\n","      <th>Number of Dependents</th>\n","      <th>Zip Code</th>\n","      <th>Number of Referrals</th>\n","      <th>Tenure in Months</th>\n","      <th>Phone Service</th>\n","      <th>Internet Service</th>\n","      <th>Paperless Billing</th>\n","      <th>...</th>\n","      <th>Offer_Offer B</th>\n","      <th>Offer_Offer C</th>\n","      <th>Offer_Offer D</th>\n","      <th>Offer_Offer E</th>\n","      <th>Contract_Month-to-Month</th>\n","      <th>Contract_One Year</th>\n","      <th>Contract_Two Year</th>\n","      <th>Payment Method_Bank Withdrawal</th>\n","      <th>Payment Method_Credit Card</th>\n","      <th>Payment Method_Mailed Check</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>37</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>93225</td>\n","      <td>2</td>\n","      <td>9</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      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<td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>78</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>94553</td>\n","      <td>1</td>\n","      <td>13</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0</td>\n","      <td>75</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>93010</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 25 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c9e3bfb7-07ab-4155-ae30-99da137ea26f')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 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dtype='object')"]},"metadata":{},"execution_count":1022}],"source":["X.columns"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":52,"status":"ok","timestamp":1677749912763,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"heqyQt7S_wWJ","outputId":"bbfb0501-0290-4210-e813-cfaaf031079f"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["Gender                              int64\n","Age                                 int64\n","Married                             int64\n","Number of Dependents                int64\n","Zip Code                            int64\n","Number of Referrals                 int64\n","Tenure in Months                    int64\n","Phone Service                       int64\n","Internet Service                    int64\n","Paperless Billing                   int64\n","Monthly Charge                    float64\n","Total Charges                     float64\n","Total Refunds                     float64\n","Offer_None                          uint8\n","Offer_Offer A                       uint8\n","Offer_Offer B                       uint8\n","Offer_Offer C                       uint8\n","Offer_Offer D                       uint8\n","Offer_Offer E                       uint8\n","Contract_Month-to-Month             uint8\n","Contract_One Year                   uint8\n","Contract_Two Year                   uint8\n","Payment Method_Bank Withdrawal      uint8\n","Payment Method_Credit Card          uint8\n","Payment Method_Mailed Check         uint8\n","dtype: object"]},"metadata":{},"execution_count":1023}],"source":["X.dtypes"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":50,"status":"ok","timestamp":1677749912763,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"3ZNQjEVu_8ow","outputId":"ae02697c-48c3-476e-ad19-2bc063e23742"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(6589, 25)"]},"metadata":{},"execution_count":1024}],"source":["X.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":47,"status":"ok","timestamp":1677749912763,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"n3rwo7T1AEqw","outputId":"8e9764f5-da03-44c9-c9d0-fd6c6e243357"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(6589,)"]},"metadata":{},"execution_count":1025}],"source":["y.shape"]},{"cell_type":"markdown","metadata":{"id":"e77OLbs1SE5Q"},"source":["## Splitting dataset into train, test and val"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Y7JJNyy9_4vo"},"outputs":[],"source":["# splitting into train (60%), test (20%) and val (20%)\n","\n","from sklearn.model_selection import train_test_split\n","\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":45,"status":"ok","timestamp":1677749912764,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"D23uHGKuA32X","outputId":"1c69b87c-f3c7-4caf-82b7-54a15b7f2a9c"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(5271, 25)"]},"metadata":{},"execution_count":1027}],"source":["X_train.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":42,"status":"ok","timestamp":1677749912764,"user":{"displayName":"Raj 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Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"n9lIPZ-vBCBH","outputId":"0ecf0628-3f57-4bdc-c196-009263c7d4c7"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(1318,)"]},"metadata":{},"execution_count":1030}],"source":["y_test.shape"]},{"cell_type":"markdown","metadata":{"id":"JSwJopZ_SMJJ"},"source":["## Feature scaling"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"183CWjSm_xSx"},"outputs":[],"source":["# feature scaling\n","\n","from sklearn.preprocessing import StandardScaler\n","\n","scaler = StandardScaler()\n","X_train = scaler.fit_transform(X_train)\n","X_test = scaler.transform(X_test)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":35,"status":"ok","timestamp":1677749912765,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"3cGkJ2oFCvnu","outputId":"beb344c9-75f1-4cc4-c92d-e169af127d36"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[-1.01394661, -1.46475423,  0.99451325, ...,  0.86904819,\n","        -0.78383359, -0.22870472],\n","       [ 0.98624522,  1.32161025,  0.99451325, ..., -1.15068418,\n","         1.275781  , -0.22870472],\n","       [-1.01394661,  0.66948239,  0.99451325, ...,  0.86904819,\n","        -0.78383359, -0.22870472],\n","       ...,\n","       [ 0.98624522,  0.61019804, -1.00551702, ..., -1.15068418,\n","         1.275781  , -0.22870472],\n","       [ 0.98624522, -1.28690118, -1.00551702, ...,  0.86904819,\n","        -0.78383359, -0.22870472],\n","       [ 0.98624522, -0.39763592,  0.99451325, ..., -1.15068418,\n","         1.275781  , -0.22870472]])"]},"metadata":{},"execution_count":1032}],"source":["X_train"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":33,"status":"ok","timestamp":1677749912765,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"9a63W3fsCzKW","outputId":"74446b47-4ff8-45c9-c8fd-b8018a2766fa"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[ 0.98624522,  0.43234499,  0.99451325, ..., -1.15068418,\n","         1.275781  , -0.22870472],\n","       [-1.01394661,  0.84733545,  0.99451325, ..., -1.15068418,\n","         1.275781  , -0.22870472],\n","       [-1.01394661, -1.34618553, -1.00551702, ..., -1.15068418,\n","         1.275781  , -0.22870472],\n","       ...,\n","       [ 0.98624522, -0.33835157, -1.00551702, ..., -1.15068418,\n","        -0.78383359,  4.37245018],\n","       [-1.01394661, -0.10121417,  0.99451325, ..., -1.15068418,\n","         1.275781  , -0.22870472],\n","       [-1.01394661,  0.13592324, -1.00551702, ..., -1.15068418,\n","        -0.78383359,  4.37245018]])"]},"metadata":{},"execution_count":1033}],"source":["X_test"]},{"cell_type":"markdown","metadata":{"id":"LDDe3kNmRqum"},"source":["## Balance training set"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":31,"status":"ok","timestamp":1677749912766,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"p_REohCqSbBV","outputId":"993bd148-04fa-4a01-8bb1-36f4441b8ebd"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(5271, 25)"]},"metadata":{},"execution_count":1034}],"source":["X_train.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":28,"status":"ok","timestamp":1677749912766,"user":{"displayName":"Raj 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Let's fix this by balancing that data!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ayhUA6avRzpa"},"outputs":[],"source":["from imblearn.over_sampling import SMOTE\n","sampler = SMOTE()\n","X_resampled, y_resampled = sampler.fit_resample(X_train, y_train)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":15,"status":"ok","timestamp":1677749913672,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"iZperqgsSfuJ","outputId":"f60edd2b-da44-4321-80e1-670caee2625e"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(7518, 25)"]},"metadata":{},"execution_count":1041}],"source":["X_resampled.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":12,"status":"ok","timestamp":1677749913672,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"kmQOu1WxSffC","outputId":"a3d76ccf-a9ee-4283-a074-691805d1e9cc"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(7518,)"]},"metadata":{},"execution_count":1042}],"source":["y_resampled.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1677749913672,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"},"user_tz":-660},"id":"F2vMIY4JT5XA","outputId":"53c7fede-c634-48a2-b905-da930c637929"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0    3759\n","1    3759\n","Name: Customer Status, dtype: int64"]},"metadata":{},"execution_count":1043}],"source":["y_resampled.value_counts() # 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Hopefully this improves training!"]},{"cell_type":"markdown","metadata":{"id":"gAu4mHXKSRt1"},"source":["# Training"]},{"cell_type":"markdown","metadata":{"id":"An-aaRetSZ5N"},"source":["## Building model"]},{"cell_type":"code","source":["from xgboost.callback import EarlyStopping, TrainingCheckPoint\n","\n","checkpointer = TrainingCheckPoint(\"/\", \"model_4\")"],"metadata":{"id":"5F1zrBNlkA8J"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from xgboost import XGBClassifier\n","\n","bst = XGBClassifier(n_estimators=1000, learning_rate=0.1, callbacks=[checkpointer])\n","bst.fit(X_resampled, y_resampled)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"XyY5ZHHYfWMG","executionInfo":{"status":"ok","timestamp":1677749927720,"user_tz":-660,"elapsed":12808,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"}},"outputId":"a6b298ad-2d6a-4b03-e952-0bd9529e3148"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["XGBClassifier(base_score=None, booster=None,\n","              callbacks=[<xgboost.callback.TrainingCheckPoint object at 0x7f4331eba400>],\n","              colsample_bylevel=None, colsample_bynode=None,\n","              colsample_bytree=None, early_stopping_rounds=None,\n","              enable_categorical=False, eval_metric=None, feature_types=None,\n","              gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n","              interaction_constraints=None, learning_rate=0.1, max_bin=None,\n","              max_cat_threshold=None, max_cat_to_onehot=None,\n","              max_delta_step=None, max_depth=None, max_leaves=None,\n","              min_child_weight=None, missing=nan, monotone_constraints=None,\n","              n_estimators=1000, n_jobs=None, num_parallel_tree=None,\n","              predictor=None, random_state=None, ...)"]},"metadata":{},"execution_count":1046}]},{"cell_type":"code","source":["y_pred = bst.predict(X_test)"],"metadata":{"id":"Fhv0OLEGgdtd"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["y_test.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"V9buuxGfgkrG","executionInfo":{"status":"ok","timestamp":1677749927720,"user_tz":-660,"elapsed":25,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"}},"outputId":"54c7e02b-8a52-4b76-b52a-7903a4e00a36"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(1318,)"]},"metadata":{},"execution_count":1048}]},{"cell_type":"code","source":["y_pred.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IBe63Mmugkbw","executionInfo":{"status":"ok","timestamp":1677749927721,"user_tz":-660,"elapsed":24,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"}},"outputId":"f401af44-e95d-4193-bc04-08db59e6cc86"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(1318,)"]},"metadata":{},"execution_count":1049}]},{"cell_type":"markdown","metadata":{"id":"92kqgVABSWbv"},"source":["# Analysing"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"i-LYsLFVJfux","executionInfo":{"status":"ok","timestamp":1677749927721,"user_tz":-660,"elapsed":21,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"}},"outputId":"8aa63957-7d69-4dfc-a64a-bd863161fd3f"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAW4AAAD4CAYAAADM6gxlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAAsTAAALEwEAmpwYAAAPG0lEQVR4nO3beZRXdd3A8fd3ZkQGYgfBGXcTCEoNeFgUTZRUTMMiMTUThOgRkDwSWSqUS4GoiB5NBRTFcM19CyEpcUEBJQHNR0RZJDbZZVGY+/wBTZLAIIs/PzPv1zlz4Hfvnd/9XM6cN/d8f3dSlmVIkuLIy/UAkqQvxnBLUjCGW5KCMdySFIzhlqRgCvb0CT5dMsvHVvSVVbX42FyPIG3VJ+vnpW3t845bkoIx3JIUjOGWpGAMtyQFY7glKRjDLUnBGG5JCsZwS1IwhluSgjHckhSM4ZakYAy3JAVjuCUpGMMtScEYbkkKxnBLUjCGW5KCMdySFIzhlqRgDLckBWO4JSkYwy1JwRhuSQrGcEtSMIZbkoIx3JIUjOGWpGAMtyQFY7glKRjDLUnBGG5JCsZwS1IwhluSgjHckhSM4ZakYAy3JAVjuCUpGMMtScEYbkkKxnBLUjCGW5KCMdySFIzhlqRgDLckBWO4JSkYwy1JwRhuSQrGcEtSMIZbkoIx3JIUTEGuByjvRt3/KA8/+RdSShx26EFcfenF7L13pdL98xcspP8fbmDp8hXUqF6NQQP60WCfert0zhUrV9G3/0DmL1hIUYP6XH/Vb6hRvRpPjXmeO0Y/BBlUqVJI/1/2pvFhh+zqJaqC6tOnO+d3PYssy5g+/Z90/1lf1q9fD8CQIVfS5bwzqV2nUY6nLJ+8496DFi5ewug/P84Dd97EY3+6jZKSEp4d9/ctjrnu5hF8/+QTeHTUrVzQ9WyG3nbXDr//a6+/yWVXX/+57SPueZDWLY7kmQfuoHWLI7njTw8CUFzUgLtuHsyj99zK/3Y5iysG37RL16eKq6ioAb16nU/rNt/j283ak5+fT+fO3wegWbPDqVWzRo4nLN8M9x62YeNG1q//hA0bNrJ23Xrq1a29xf733p9Dy+ZHAtCy2RGMn/BK6b47R/+ZM7v14Qc/vYCbR9yzw+ccP+EVOnZoD0DHDu15/oVN7/ntbzWhRvVqABzetDELFy3ZlUtTBVeQX0BhYWXy8/MprFLIv/61kLy8PAYNvJzfXPr7XI9XrpUZ7pRS45TSJSmlmzZ/XZJS+saXMVx09evVpctZnWj/w5/SruPZVKtahaNbNd/imEaHHcK4v78EwLi/v8zHa9ayfMVKXnp1CnPmfcj9I27k4btu4a13ZjJ56rQdOu9Hy5aX/gdRt04tPlq2/HPHPPLUGNq2brFrF6gKa/78Bdww9Hbem/kqc2a/zsoVqxg37gV69uzKU08/x4IFi3I9Yrm23XCnlC4B7gcS8NrmrwTcl1L69Xa+r0dKaXJKafKIUfftznlDWbFyFeMnTGTMQyN5/vHRrF23nifHPL/FMb/s1Z3Jb0zjR116MXnqNOrXq0NeXh4vT3qdl197nR916c0ZXS/k/dlzmT13PgBn/ewiOp3Xi98OGsr4FyfS6bxedDqvFy+9OuVzM6SUSCltse21Kf/gkaee4+Ke5++5i1e5VrNmDU479UQaNmrDgQc1p2rVQn5yTic6/fB73HLLyFyPV+6V9eFkN6BplmWffnZjSmkIMAMYtLVvyrJsGDAM4NMls7LdMGdIEydPpbioPrVr1QTghO8cxdRpb3HaSceXHrNPvTrcOLA/AGvWrGXc316kerWvQQbdzz2Tzqef8rn3vW/4UGDTGvfjz4zl95f33WJ/nVo1WbxkKfXq1mbxkqXU/sx64zsz32fAoKHcdv1V1KxRfTdfsSqKE45vywcfzGXJkqUAPPbYs/Qf0JfCypV5+60XgU0fgL/11os0adI2l6OWS2UtlZQARVvZvu/mfdqOfevX483p/2TtunVkWcark6dyyIH7b3HMsuUrKCnZ9E85/J4H+MH3TgTgqJbNePTp51izZi2w6YPOrS15bM1xbVvz+LPjAHj82XG0O6YNAP9asIiLLr2KgQP6cdAB++2OS1QFNWfufFq1+jaFhZUBaNeuLTfeOJwDDmxGw0ZtaNioDWvWrDXae0hZd9wXAX9NKb0LzN287QDg60DvPThXuXB408Z8t11bOne9kPz8fBo3PJQzOnbg5uGjaNq4Ie2Oac2kN95k6G13kVKi+RHf5PK+PQE4ulVzZs2eyzk/vxiAKoWVGTigH3U2371vT/dzO9O3/x945KkxFDXYh+uvuhSAW0fey4qVq7j6ulsAyM/P58E7fbJEX9ykSW/wyCPP8Nqrf2HDhg1MnTqDESNG53qsCiNl2fZXMlJKeUBLoHjzpg+BSVmWbdyRE1TkpRJ99VUtPjbXI0hb9cn6eWlb+8r8BZwsy0qAibt1IknSTvM5bkkKxnBLUjCGW5KCMdySFIzhlqRgDLckBWO4JSkYwy1JwRhuSQrGcEtSMIZbkoIx3JIUjOGWpGAMtyQFY7glKRjDLUnBGG5JCsZwS1IwhluSgjHckhSM4ZakYAy3JAVjuCUpGMMtScEYbkkKxnBLUjCGW5KCMdySFIzhlqRgDLckBWO4JSkYwy1JwRhuSQrGcEtSMIZbkoIx3JIUjOGWpGAMtyQFY7glKRjDLUnBGG5JCsZwS1IwhluSgjHckhSM4ZakYAy3JAVjuCUpGMMtScEU7OkTFBYds6dPIe20c4pa53oE6QvzjluSgjHckhSM4ZakYAy3JAVjuCUpGMMtScEYbkkKxnBLUjCGW5KCMdySFIzhlqRgDLckBWO4JSkYwy1JwRhuSQrGcEtSMIZbkoIx3JIUjOGWpGAMtyQFY7glKRjDLUnBGG5JCsZwS1IwhluSgjHckhSM4ZakYAy3JAVjuCUpGMMtScEYbkkKxnBLUjCGW5KCMdySFIzhlqRgDLckBWO4JSkYwy1JwRhuSQrGcEtSMIZbkoIx3JIUjOGWpGAMtyQFY7glKRjDLUnBGG5JCsZwS1IwhluSginI9QDauoYND+Xe0beWvj7k4AP43RXXUbNmdbqdfzaLlywFoH//QTz7l+dzNaaCqr1vHXoM6UP1ujUgg/H3jWXsyKe3OKZDj460Of0YAPLz8yn6ejG9m53PxytW7/R5CyoV0GNIHw765iGsXr6KP/YewpJ5i2na9nA6X/IT8vcqYOOnG7j/D6N4+5Xpu3SN5VnKsmyPnqCgUvGePUEFkJeXx5wPpnBU21Ppct6ZrF79MUNuuD3XY5UL5xS1zvUIOVGjXk1q7lOL2TPep3LVylzx5LXc2OMa5s+ct9XjjzyhBSd1O5Vrzv7dDr1/3f3q0f263gz68W+32H78T05i/28cyN2XDaPVaUfT/KRW/LH3EA5oejArFy9n+aJlFDfcn36j+nNR6x67epmh3f3Bw2lb+7zjDuCE49sya9Zs5sz5MNejqJxYsXg5KxYvB2Ddx+uY/948ajWovc1wt/5+WyY+8WLp66NOP5bvdjmF/EoFzJr6LndfPpyspKTM8zY7sSWPDn0AgEnPvMK5V3QHYM6M90uP+fD/5rJX5UoUVCpgwycbdvYSyzXXuAPo3Lkj9z/wWOnrnhd05fUpYxk+7Hpq1qyRu8FULtTdrx4HNjmY96a+u9X9lSpX4lvfOZLJz04EYN9Di2l56tFc/aPLGHDKLynZWMJRm5dUylKrfm2Wzl8CQMnGEtauWsPXalXb4pgWHVoze/r7Rns7dvqOO6XUNcuykdvY1wPoAZDya5CXV3VnT1Ph7bXXXpx26olcdvlAAG67fRRX/34oWZZx5RW/4trBA/hZj745nlJR7V2lMhfe2o/RV45k3eq1Wz3myPYteHfyO6Vr202PPpyDvnUIv33iGgAq7V2JlR+tAKDP7b+i7v77ULBXAXWK6nLlM9cBMHbk00x4aHyZ8xQftj9n/vpcrj33yt1xeeXWriyVXAFsNdxZlg0DhoFr3Lvq5JPb8cYb01i0aNNdyr//BBhxx2gef+zuXI2m4PIL8rnwtn68/NgEpox5dZvHtT6tLROfmPCfDQleevhvPDR49OeOvenng4Ftr3EvW7iU2kV1WbZgKXn5eRRWq8LqZasAqNWgNn1u/xXDLr6JRXMW7oYrLL+2u1SSUnpzG1/TgPpf0owV2o/PPH2LZZIGDfYp/fvpHTswY8Y7OZhK5UG3a3oyf+Y8xtzx5DaPKaxWhUatmvD62Eml2956aRotOrShWp3qAFSt8TXqFNfboXO+MXYSbTsdB8D/nNKGt1/e9ORIlepVuHjkZTx4zZ94d4o/02Up6467PnASsOy/tifg5T0ykUpVqVJI+xOO5YKel5RuGzTwco44oglZljF79rwt9kk76rAWjTm603HMfXt26XLGnwffS53iugCMH/0cAM1PasX0Cf/gk7XrS793/sx5PHz9vfS7ZwB5KY+NGzYwasBwPvpwcZnnfeHBv9JjSB8G/+1mPl6+mj9eeAMA7X/agfoHNqDjL86g4y/OAODac69k1Ucrd+t1lxfbfRwwpXQHMDLLshe3su/eLMvOLusELpXoq6yiPg6or76dfhwwy7Ju29lXZrQlSbufjwNKUjCGW5KCMdySFIzhlqRgDLckBWO4JSkYwy1JwRhuSQrGcEtSMIZbkoIx3JIUjOGWpGAMtyQFY7glKRjDLUnBGG5JCsZwS1IwhluSgjHckhSM4ZakYAy3JAVjuCUpGMMtScEYbkkKxnBLUjCGW5KCMdySFIzhlqRgDLckBWO4JSkYwy1JwRhuSQrGcEtSMIZbkoIx3JIUjOGWpGAMtyQFY7glKRjDLUnBGG5JCsZwS1IwhluSgjHckhSM4ZakYAy3JAVjuCUpGMMtScEYbkkKxnBLUjApy7Jcz6AvIKXUI8uyYbmeQ/pv/mx+ebzjjqdHrgeQtsGfzS+J4ZakYAy3JAVjuONxDVFfVf5sfkn8cFKSgvGOW5KCMdySFIzhDiKldHJK6Z2U0syU0q9zPY/0bymlO1NKi1JK03M9S0VhuANIKeUDtwAdgCbAWSmlJrmdSip1F3ByroeoSAx3DC2BmVmWzcqy7BPgfqBjjmeSAMiy7AVgaa7nqEgMdwzFwNzPvJ63eZukCshwS1IwhjuGD4H9P/N6v83bJFVAhjuGScBhKaWDU0qVgB8DT+R4Jkk5YrgDyLJsA9AbGAO8DTyYZdmM3E4lbZJSug94BWiUUpqXUuqW65nKO3/lXZKC8Y5bkoIx3JIUjOGWpGAMtyQFY7glKRjDLUnBGG5JCub/AZEkko7j9NONAAAAAElFTkSuQmCC\n"},"metadata":{"needs_background":"light"}}],"source":["from sklearn.metrics import confusion_matrix, accuracy_score, classification_report, precision_score, recall_score\n","\n","cm = confusion_matrix(y_pred, y_test)\n","sns.heatmap(cm, annot=True, cbar=False)\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"mqSTeAQxJxsj","executionInfo":{"status":"ok","timestamp":1677749927721,"user_tz":-660,"elapsed":20,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"}},"outputId":"05c1e2a3-ec78-4b09-aded-71f05013c159"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.8793626707132018"]},"metadata":{},"execution_count":1051}],"source":["accuracy_score(y_test, y_pred)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"O7wxUCLwKukU","executionInfo":{"status":"ok","timestamp":1677749927722,"user_tz":-660,"elapsed":18,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"}},"outputId":"428c954d-4d63-4053-ff51-b70c9e2e7c6d"},"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.91      0.92      0.92       961\n","           1       0.78      0.76      0.77       357\n","\n","    accuracy                           0.88      1318\n","   macro avg       0.85      0.84      0.85      1318\n","weighted avg       0.88      0.88      0.88      1318\n","\n"]}],"source":["print(classification_report(y_test, y_pred))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"akTRZNJaMvs7"},"outputs":[],"source":["stayed_precision = precision_score(y_test, y_pred, labels=[0, 1], pos_label=0)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"U0GLq7X5Kxx8"},"outputs":[],"source":["churned_precision = precision_score(y_test, y_pred, labels=[0, 1], pos_label=1)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"sp05mez4M5lk"},"outputs":[],"source":["stayed_recall = recall_score(y_test, y_pred, labels=[0, 1], pos_label=0)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"6AmF6bOgM1T8"},"outputs":[],"source":["churned_recall = recall_score(y_test, y_pred, labels=[0, 1], pos_label=1)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":295},"id":"GWTgSDA4NMha","executionInfo":{"status":"ok","timestamp":1677749928231,"user_tz":-660,"elapsed":524,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"}},"outputId":"b6f064cf-349e-487b-8936-e74c37bb77dd"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["plt.bar([\"0\", \"1\"], [stayed_precision, churned_precision])\n","plt.xlabel(\"Class\")\n","plt.ylabel(\"Precision\")\n","plt.title(\"Precision (0 = Stayed, 1 = Churned)\")\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":295},"id":"wJ7FddSwNMeJ","executionInfo":{"status":"ok","timestamp":1677749928232,"user_tz":-660,"elapsed":12,"user":{"displayName":"Raj Pulapakura","userId":"15990840560051697646"}},"outputId":"dbb6c455-f41a-4f04-b840-c02b6f3e3235"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["plt.bar([\"0\", \"1\"], [stayed_recall, churned_recall])\n","plt.xlabel(\"Class\")\n","plt.ylabel(\"Recall\")\n","plt.title(\"Recall (0 = Stayed, 1 = Churned)\")\n","plt.show()"]},{"cell_type":"markdown","source":["XGBoost produced pretty much the same result as the neural network."],"metadata":{"id":"TXUNtzHt9258"}}],"metadata":{"colab":{"provenance":[],"toc_visible":true,"authorship_tag":"ABX9TyN7Y8qmxbChEDSmcml05HxE"},"gpuClass":"standard","kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"},"accelerator":"GPU"},"nbformat":4,"nbformat_minor":0}