Credit_Card_Default_Prediction_Capstone_Project.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.6.6"
    },
    "colab": {
      "name": "Credit Card Default Prediction - Capstone Project.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/dsnnaveen/AirnbBookingAnalysis/blob/main/Credit_Card_Default_Prediction_Capstone_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": "tOGC-qoyhJeX"
      },
      "source": [
        "# <b><u> Project Title : Predicting whether a customer will default on his/her credit card </u></b>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y06xIdG26kRF"
      },
      "source": [
        "## <b> Problem Description </b>\n",
        "\n",
        "### This project is aimed at predicting the case of customers default payments in Taiwan. From the perspective of risk management, the result of predictive accuracy of the estimated probability of default will be more valuable than the binary result of classification - credible or not credible clients. We can use the [K-S chart](https://www.listendata.com/2019/07/KS-Statistics-Python.html) to evaluate which customers will default on their credit card payments\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AlLxAtlziMbP"
      },
      "source": [
        "## <b> Data Description </b>\n",
        "\n",
        "### <b>Attribute Information: </b>\n",
        "\n",
        "### This research employed a binary variable, default payment (Yes = 1, No = 0), as the response variable. This study reviewed the literature and used the following 23 variables as explanatory variables:\n",
        "* ### X1: Amount of the given credit (NT dollar): it includes both the individual consumer credit and his/her family (supplementary) credit.\n",
        "* ### X2: Gender (1 = male; 2 = female).\n",
        "* ### X3: Education (1 = graduate school; 2 = university; 3 = high school; 4 = others).\n",
        "* ### X4: Marital status (1 = married; 2 = single; 3 = others).\n",
        "* ### X5: Age (year).\n",
        "* ### X6 - X11: History of past payment. We tracked the past monthly payment records (from April to September, 2005) as follows: X6 = the repayment status in September, 2005; X7 = the repayment status in August, 2005; . . .;X11 = the repayment status in April, 2005. The measurement scale for the repayment status is: -1 = pay duly; 1 = payment delay for one month; 2 = payment delay for two months; . . .; 8 = payment delay for eight months; 9 = payment delay for nine months and above.\n",
        "* ### X12-X17: Amount of bill statement (NT dollar). X12 = amount of bill statement in September, 2005; X13 = amount of bill statement in August, 2005; . . .; X17 = amount of bill statement in April, 2005.\n",
        "* ### X18-X23: Amount of previous payment (NT dollar). X18 = amount paid in September, 2005; X19 = amount paid in August, 2005; . . .;X23 = amount paid in April, 2005."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Improting the data"
      ],
      "metadata": {
        "id": "dByMsuzT8Tnw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.metrics import precision_score,recall_score,roc_auc_score,roc_curve,auc\n",
        "from sklearn.model_selection import cross_validate\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "plt.style.use('seaborn-whitegrid')\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "metadata": {
        "id": "IDgkNVbkV4kk"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2aqFwWIOWEng",
        "outputId": "4e42e85d-ffab-44b5-f3fa-87e67720089a"
      },
      "execution_count": 30,
      "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"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Load the Data "
      ],
      "metadata": {
        "id": "ku8WmSlNWeMG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install xlrd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MuKccLQNWqio",
        "outputId": "a7e3c8f4-0530-4e24-f8a8-b7c854617aaa"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: xlrd in /usr/local/lib/python3.7/dist-packages (2.0.1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "!pip install --upgrade pandas\n",
        "import pandas as pd\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o0KEnQbjWtIw",
        "outputId": "e2ddaa67-3449-4c06-9569-9452cf0f1eb7"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (1.3.5)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas) (2.8.2)\n",
            "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.7/dist-packages (from pandas) (1.21.6)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas) (2022.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# the pd.read_excel file ask newer version of xlrd or pandas version 1.2.0\n",
        "!pip install --upgrade xlrd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KKBEtPFCWveQ",
        "outputId": "3a8fe119-f923-4690-bb26-4b847d4409a3"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: xlrd in /usr/local/lib/python3.7/dist-packages (2.0.1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(pd.__version__)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5GrE1HnmWzYn",
        "outputId": "914de7f1-42cb-4ffc-b08a-635068f85b2f"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1.3.5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df=pd.read_excel('/content/drive/MyDrive/AB Capstone Projects data files/CLASSIFICATION/default of credit card clients.xls',header = 1)"
      ],
      "metadata": {
        "id": "8R7tf37fW5lI"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Understand the data"
      ],
      "metadata": {
        "id": "d0oxD1VBXAKs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 352
        },
        "id": "kI1sfHW-XCVG",
        "outputId": "195b3fd3-d04d-40ef-b10a-6d3879011c49"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   ID  LIMIT_BAL  SEX  EDUCATION  MARRIAGE  AGE  PAY_0  PAY_2  PAY_3  PAY_4  \\\n",
              "0   1      20000    2          2         1   24      2      2     -1     -1   \n",
              "1   2     120000    2          2         2   26     -1      2      0      0   \n",
              "2   3      90000    2          2         2   34      0      0      0      0   \n",
              "3   4      50000    2          2         1   37      0      0      0      0   \n",
              "4   5      50000    1          2         1   57     -1      0     -1      0   \n",
              "\n",
              "   ...  BILL_AMT4  BILL_AMT5  BILL_AMT6  PAY_AMT1  PAY_AMT2  PAY_AMT3  \\\n",
              "0  ...          0          0          0         0       689         0   \n",
              "1  ...       3272       3455       3261         0      1000      1000   \n",
              "2  ...      14331      14948      15549      1518      1500      1000   \n",
              "3  ...      28314      28959      29547      2000      2019      1200   \n",
              "4  ...      20940      19146      19131      2000     36681     10000   \n",
              "\n",
              "   PAY_AMT4  PAY_AMT5  PAY_AMT6  default payment next month  \n",
              "0         0         0         0                           1  \n",
              "1      1000         0      2000                           1  \n",
              "2      1000      1000      5000                           0  \n",
              "3      1100      1069      1000                           0  \n",
              "4      9000       689       679                           0  \n",
              "\n",
              "[5 rows x 25 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9c3d13f3-1f39-4881-b12c-01c6c1c05374\">\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>ID</th>\n",
              "      <th>LIMIT_BAL</th>\n",
              "      <th>SEX</th>\n",
              "      <th>EDUCATION</th>\n",
              "      <th>MARRIAGE</th>\n",
              "      <th>AGE</th>\n",
              "      <th>PAY_0</th>\n",
              "      <th>PAY_2</th>\n",
              "      <th>PAY_3</th>\n",
              "      <th>PAY_4</th>\n",
              "      <th>...</th>\n",
              "      <th>BILL_AMT4</th>\n",
              "      <th>BILL_AMT5</th>\n",
              "      <th>BILL_AMT6</th>\n",
              "      <th>PAY_AMT1</th>\n",
              "      <th>PAY_AMT2</th>\n",
              "      <th>PAY_AMT3</th>\n",
              "      <th>PAY_AMT4</th>\n",
              "      <th>PAY_AMT5</th>\n",
              "      <th>PAY_AMT6</th>\n",
              "      <th>default payment next month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>20000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>2</td>\n",
              "      <td>2</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>689</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>120000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>26</td>\n",
              "      <td>-1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>3272</td>\n",
              "      <td>3455</td>\n",
              "      <td>3261</td>\n",
              "      <td>0</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>0</td>\n",
              "      <td>2000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>90000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>14331</td>\n",
              "      <td>14948</td>\n",
              "      <td>15549</td>\n",
              "      <td>1518</td>\n",
              "      <td>1500</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>5000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>50000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>28314</td>\n",
              "      <td>28959</td>\n",
              "      <td>29547</td>\n",
              "      <td>2000</td>\n",
              "      <td>2019</td>\n",
              "      <td>1200</td>\n",
              "      <td>1100</td>\n",
              "      <td>1069</td>\n",
              "      <td>1000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>50000</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>57</td>\n",
              "      <td>-1</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>20940</td>\n",
              "      <td>19146</td>\n",
              "      <td>19131</td>\n",
              "      <td>2000</td>\n",
              "      <td>36681</td>\n",
              "      <td>10000</td>\n",
              "      <td>9000</td>\n",
              "      <td>689</td>\n",
              "      <td>679</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-9c3d13f3-1f39-4881-b12c-01c6c1c05374')\"\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",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9c3d13f3-1f39-4881-b12c-01c6c1c05374 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9c3d13f3-1f39-4881-b12c-01c6c1c05374');\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": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df.shape\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4L6cu3-rXE0g",
        "outputId": "2c07b077-fa11-4700-8c50-5b3bdfb3f7f7"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(30000, 25)"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        " Description of columns from dataset documentation\n",
        "\n",
        "There are 25 variables:\n",
        "\n",
        "• ID: ID of each client\n",
        "\n",
        "• LIMIT_BAL: Amount of given credit in NT dollars (includes individual and family/supplementary credit\n",
        "\n",
        "• SEX: Gender (1=male, 2=female)\n",
        "\n",
        "• EDUCATION: (1=graduate school, 2=university, 3=high school, 4=others, 5=unknown, 6=unknown)\n",
        "\n",
        "• MARRIAGE: Marital status (1=married, 2=single, 3=others)\n",
        "\n",
        "• AGE: Age in years\n",
        "\n",
        "• PAY_0: Repayment status in September, 2005 (-1=pay duly, 1=payment delay for one month, 2=payment delay for two months, … 8=payment delay for eight months, 9=payment delay for nine months and above)\n",
        "\n",
        "• PAY_2: Repayment status in August, 2005 (scale same as above)\n",
        "\n",
        "• PAY_3: Repayment status in July, 2005 (scale same as above)\n",
        "\n",
        "• PAY_4: Repayment status in June, 2005 (scale same as above)\n",
        "\n",
        "• PAY_5: Repayment status in May, 2005 (scale same as above)\n",
        "\n",
        "• PAY_6: Repayment status in April, 2005 (scale same as above)\n",
        "\n",
        "• BILL_AMT1: Amount of bill statement in September, 2005 (NT dollar)\n",
        "\n",
        "• BILL_AMT2: Amount of bill statement in August, 2005 (NT dollar)\n",
        "\n",
        "• BILL_AMT3: Amount of bill statement in July, 2005 (NT dollar)\n",
        "\n",
        "• BILL_AMT4: Amount of bill statement in June, 2005 (NT dollar)\n",
        "\n",
        "• BILL_AMT5: Amount of bill statement in May, 2005 (NT dollar)\n",
        "\n",
        "• BILL_AMT6: Amount of bill statement in April, 2005 (NT dollar)\n",
        "\n",
        "• PAY_AMT1: Amount of previous payment in September, 2005 (NT dollar)\n",
        "\n",
        "• PAY_AMT2: Amount of previous payment in August, 2005 (NT dollar)\n",
        "\n",
        "• PAY_AMT3: Amount of previous payment in July, 2005 (NT dollar)\n",
        "\n",
        "• PAY_AMT4: Amount of previous payment in June, 2005 (NT dollar)\n",
        "\n",
        "• PAY_AMT5: Amount of previous payment in May, 2005 (NT dollar)\n",
        "\n",
        "• PAY_AMT6: Amount of previous payment in April, 2005 (NT dollar)\n",
        "\n",
        "• default.payment.next.month: Default payment (1=yes, 0=no)"
      ],
      "metadata": {
        "id": "eRA3UUKlXIgV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1bUd_8yTXMLp",
        "outputId": "b7fd872e-690a-45eb-930c-ac3f45262ad6"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(30000, 25)"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Understand the data by printing out all column names"
      ],
      "metadata": {
        "id": "IEusSIZKXRY_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "riGVgjGNYZpk",
        "outputId": "d5c981b6-bea9-43eb-a766-4565c09081dc"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['ID', 'LIMIT_BAL', 'SEX', 'EDUCATION', 'MARRIAGE', 'AGE', 'PAY_0',\n",
              "       'PAY_2', 'PAY_3', 'PAY_4', 'PAY_5', 'PAY_6', 'BILL_AMT1', 'BILL_AMT2',\n",
              "       'BILL_AMT3', 'BILL_AMT4', 'BILL_AMT5', 'BILL_AMT6', 'PAY_AMT1',\n",
              "       'PAY_AMT2', 'PAY_AMT3', 'PAY_AMT4', 'PAY_AMT5', 'PAY_AMT6',\n",
              "       'default payment next month'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Data Cleaning"
      ],
      "metadata": {
        "id": "B4ZzONnhYb-U"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df.drop('ID',axis=1,inplace=True)"
      ],
      "metadata": {
        "id": "qhGfhjo9Ymm_"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Check missing values, column type and column names"
      ],
      "metadata": {
        "id": "K6bAE7T5Yvz7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# that this statement converts the dataframe columns to integer values, but was not able to understand the usage\n",
        "#  of the lambda function or the errors='coerce' part.\n",
        "credit_df = credit_df.apply(lambda x : pd.to_numeric(x))\n",
        "credit_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lDzH02cJY2G-",
        "outputId": "c3b048f4-b169-41d6-b7e6-3905bad01240"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 30000 entries, 0 to 29999\n",
            "Data columns (total 24 columns):\n",
            " #   Column                      Non-Null Count  Dtype\n",
            "---  ------                      --------------  -----\n",
            " 0   LIMIT_BAL                   30000 non-null  int64\n",
            " 1   SEX                         30000 non-null  int64\n",
            " 2   EDUCATION                   30000 non-null  int64\n",
            " 3   MARRIAGE                    30000 non-null  int64\n",
            " 4   AGE                         30000 non-null  int64\n",
            " 5   PAY_0                       30000 non-null  int64\n",
            " 6   PAY_2                       30000 non-null  int64\n",
            " 7   PAY_3                       30000 non-null  int64\n",
            " 8   PAY_4                       30000 non-null  int64\n",
            " 9   PAY_5                       30000 non-null  int64\n",
            " 10  PAY_6                       30000 non-null  int64\n",
            " 11  BILL_AMT1                   30000 non-null  int64\n",
            " 12  BILL_AMT2                   30000 non-null  int64\n",
            " 13  BILL_AMT3                   30000 non-null  int64\n",
            " 14  BILL_AMT4                   30000 non-null  int64\n",
            " 15  BILL_AMT5                   30000 non-null  int64\n",
            " 16  BILL_AMT6                   30000 non-null  int64\n",
            " 17  PAY_AMT1                    30000 non-null  int64\n",
            " 18  PAY_AMT2                    30000 non-null  int64\n",
            " 19  PAY_AMT3                    30000 non-null  int64\n",
            " 20  PAY_AMT4                    30000 non-null  int64\n",
            " 21  PAY_AMT5                    30000 non-null  int64\n",
            " 22  PAY_AMT6                    30000 non-null  int64\n",
            " 23  default payment next month  30000 non-null  int64\n",
            "dtypes: int64(24)\n",
            "memory usage: 5.5 MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fjm9LNsVY3sD",
        "outputId": "57abf1aa-2416-4e81-fdb3-e8ee8fb39e00"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LIMIT_BAL                     0\n",
              "SEX                           0\n",
              "EDUCATION                     0\n",
              "MARRIAGE                      0\n",
              "AGE                           0\n",
              "PAY_0                         0\n",
              "PAY_2                         0\n",
              "PAY_3                         0\n",
              "PAY_4                         0\n",
              "PAY_5                         0\n",
              "PAY_6                         0\n",
              "BILL_AMT1                     0\n",
              "BILL_AMT2                     0\n",
              "BILL_AMT3                     0\n",
              "BILL_AMT4                     0\n",
              "BILL_AMT5                     0\n",
              "BILL_AMT6                     0\n",
              "PAY_AMT1                      0\n",
              "PAY_AMT2                      0\n",
              "PAY_AMT3                      0\n",
              "PAY_AMT4                      0\n",
              "PAY_AMT5                      0\n",
              "PAY_AMT6                      0\n",
              "default payment next month    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "There is no missing value, all columns have the correct type"
      ],
      "metadata": {
        "id": "F-STh9UAY6SB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "id": "RAKLuCPsY84i",
        "outputId": "8d27146c-1251-4126-8454-f8c5980364cc"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            LIMIT_BAL           SEX     EDUCATION      MARRIAGE           AGE  \\\n",
              "count    30000.000000  30000.000000  30000.000000  30000.000000  30000.000000   \n",
              "mean    167484.322667      1.603733      1.853133      1.551867     35.485500   \n",
              "std     129747.661567      0.489129      0.790349      0.521970      9.217904   \n",
              "min      10000.000000      1.000000      0.000000      0.000000     21.000000   \n",
              "25%      50000.000000      1.000000      1.000000      1.000000     28.000000   \n",
              "50%     140000.000000      2.000000      2.000000      2.000000     34.000000   \n",
              "75%     240000.000000      2.000000      2.000000      2.000000     41.000000   \n",
              "max    1000000.000000      2.000000      6.000000      3.000000     79.000000   \n",
              "\n",
              "              PAY_0         PAY_2         PAY_3         PAY_4         PAY_5  \\\n",
              "count  30000.000000  30000.000000  30000.000000  30000.000000  30000.000000   \n",
              "mean      -0.016700     -0.133767     -0.166200     -0.220667     -0.266200   \n",
              "std        1.123802      1.197186      1.196868      1.169139      1.133187   \n",
              "min       -2.000000     -2.000000     -2.000000     -2.000000     -2.000000   \n",
              "25%       -1.000000     -1.000000     -1.000000     -1.000000     -1.000000   \n",
              "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
              "75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
              "max        8.000000      8.000000      8.000000      8.000000      8.000000   \n",
              "\n",
              "       ...      BILL_AMT4      BILL_AMT5      BILL_AMT6       PAY_AMT1  \\\n",
              "count  ...   30000.000000   30000.000000   30000.000000   30000.000000   \n",
              "mean   ...   43262.948967   40311.400967   38871.760400    5663.580500   \n",
              "std    ...   64332.856134   60797.155770   59554.107537   16563.280354   \n",
              "min    ... -170000.000000  -81334.000000 -339603.000000       0.000000   \n",
              "25%    ...    2326.750000    1763.000000    1256.000000    1000.000000   \n",
              "50%    ...   19052.000000   18104.500000   17071.000000    2100.000000   \n",
              "75%    ...   54506.000000   50190.500000   49198.250000    5006.000000   \n",
              "max    ...  891586.000000  927171.000000  961664.000000  873552.000000   \n",
              "\n",
              "           PAY_AMT2      PAY_AMT3       PAY_AMT4       PAY_AMT5  \\\n",
              "count  3.000000e+04   30000.00000   30000.000000   30000.000000   \n",
              "mean   5.921163e+03    5225.68150    4826.076867    4799.387633   \n",
              "std    2.304087e+04   17606.96147   15666.159744   15278.305679   \n",
              "min    0.000000e+00       0.00000       0.000000       0.000000   \n",
              "25%    8.330000e+02     390.00000     296.000000     252.500000   \n",
              "50%    2.009000e+03    1800.00000    1500.000000    1500.000000   \n",
              "75%    5.000000e+03    4505.00000    4013.250000    4031.500000   \n",
              "max    1.684259e+06  896040.00000  621000.000000  426529.000000   \n",
              "\n",
              "            PAY_AMT6  default payment next month  \n",
              "count   30000.000000                30000.000000  \n",
              "mean     5215.502567                    0.221200  \n",
              "std     17777.465775                    0.415062  \n",
              "min         0.000000                    0.000000  \n",
              "25%       117.750000                    0.000000  \n",
              "50%      1500.000000                    0.000000  \n",
              "75%      4000.000000                    0.000000  \n",
              "max    528666.000000                    1.000000  \n",
              "\n",
              "[8 rows x 24 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b6642807-4684-4bcd-8492-af61403c73d3\">\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>LIMIT_BAL</th>\n",
              "      <th>SEX</th>\n",
              "      <th>EDUCATION</th>\n",
              "      <th>MARRIAGE</th>\n",
              "      <th>AGE</th>\n",
              "      <th>PAY_0</th>\n",
              "      <th>PAY_2</th>\n",
              "      <th>PAY_3</th>\n",
              "      <th>PAY_4</th>\n",
              "      <th>PAY_5</th>\n",
              "      <th>...</th>\n",
              "      <th>BILL_AMT4</th>\n",
              "      <th>BILL_AMT5</th>\n",
              "      <th>BILL_AMT6</th>\n",
              "      <th>PAY_AMT1</th>\n",
              "      <th>PAY_AMT2</th>\n",
              "      <th>PAY_AMT3</th>\n",
              "      <th>PAY_AMT4</th>\n",
              "      <th>PAY_AMT5</th>\n",
              "      <th>PAY_AMT6</th>\n",
              "      <th>default payment next month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>3.000000e+04</td>\n",
              "      <td>30000.00000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "      <td>30000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>167484.322667</td>\n",
              "      <td>1.603733</td>\n",
              "      <td>1.853133</td>\n",
              "      <td>1.551867</td>\n",
              "      <td>35.485500</td>\n",
              "      <td>-0.016700</td>\n",
              "      <td>-0.133767</td>\n",
              "      <td>-0.166200</td>\n",
              "      <td>-0.220667</td>\n",
              "      <td>-0.266200</td>\n",
              "      <td>...</td>\n",
              "      <td>43262.948967</td>\n",
              "      <td>40311.400967</td>\n",
              "      <td>38871.760400</td>\n",
              "      <td>5663.580500</td>\n",
              "      <td>5.921163e+03</td>\n",
              "      <td>5225.68150</td>\n",
              "      <td>4826.076867</td>\n",
              "      <td>4799.387633</td>\n",
              "      <td>5215.502567</td>\n",
              "      <td>0.221200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>129747.661567</td>\n",
              "      <td>0.489129</td>\n",
              "      <td>0.790349</td>\n",
              "      <td>0.521970</td>\n",
              "      <td>9.217904</td>\n",
              "      <td>1.123802</td>\n",
              "      <td>1.197186</td>\n",
              "      <td>1.196868</td>\n",
              "      <td>1.169139</td>\n",
              "      <td>1.133187</td>\n",
              "      <td>...</td>\n",
              "      <td>64332.856134</td>\n",
              "      <td>60797.155770</td>\n",
              "      <td>59554.107537</td>\n",
              "      <td>16563.280354</td>\n",
              "      <td>2.304087e+04</td>\n",
              "      <td>17606.96147</td>\n",
              "      <td>15666.159744</td>\n",
              "      <td>15278.305679</td>\n",
              "      <td>17777.465775</td>\n",
              "      <td>0.415062</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>10000.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>-2.000000</td>\n",
              "      <td>-2.000000</td>\n",
              "      <td>-2.000000</td>\n",
              "      <td>-2.000000</td>\n",
              "      <td>-2.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>-170000.000000</td>\n",
              "      <td>-81334.000000</td>\n",
              "      <td>-339603.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>50000.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>28.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>2326.750000</td>\n",
              "      <td>1763.000000</td>\n",
              "      <td>1256.000000</td>\n",
              "      <td>1000.000000</td>\n",
              "      <td>8.330000e+02</td>\n",
              "      <td>390.00000</td>\n",
              "      <td>296.000000</td>\n",
              "      <td>252.500000</td>\n",
              "      <td>117.750000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>140000.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>34.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>19052.000000</td>\n",
              "      <td>18104.500000</td>\n",
              "      <td>17071.000000</td>\n",
              "      <td>2100.000000</td>\n",
              "      <td>2.009000e+03</td>\n",
              "      <td>1800.00000</td>\n",
              "      <td>1500.000000</td>\n",
              "      <td>1500.000000</td>\n",
              "      <td>1500.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>240000.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>41.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>54506.000000</td>\n",
              "      <td>50190.500000</td>\n",
              "      <td>49198.250000</td>\n",
              "      <td>5006.000000</td>\n",
              "      <td>5.000000e+03</td>\n",
              "      <td>4505.00000</td>\n",
              "      <td>4013.250000</td>\n",
              "      <td>4031.500000</td>\n",
              "      <td>4000.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1000000.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>79.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>891586.000000</td>\n",
              "      <td>927171.000000</td>\n",
              "      <td>961664.000000</td>\n",
              "      <td>873552.000000</td>\n",
              "      <td>1.684259e+06</td>\n",
              "      <td>896040.00000</td>\n",
              "      <td>621000.000000</td>\n",
              "      <td>426529.000000</td>\n",
              "      <td>528666.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 24 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b6642807-4684-4bcd-8492-af61403c73d3')\"\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",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b6642807-4684-4bcd-8492-af61403c73d3 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b6642807-4684-4bcd-8492-af61403c73d3');\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": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "ploting the features"
      ],
      "metadata": {
        "id": "UmiWstjuZA6x"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "var=[]\n",
        "for i,col in enumerate(credit_df.columns):\n",
        " var.append(credit_df[col].value_counts().shape[0])\n",
        "num_cat_sep=pd.DataFrame({'columns':credit_df.columns,'Unique_counts':var})\n",
        "categorical_variable=num_cat_sep[num_cat_sep['Unique_counts']<15]['columns']\n",
        "numerical_variables=num_cat_sep[num_cat_sep['Unique_counts']>15]['columns']"
      ],
      "metadata": {
        "id": "6tV0YL47ZFOe"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=[40,20])\n",
        "for i,col in enumerate(credit_df.columns):\n",
        " plt.subplot(3,8,i+1)\n",
        " sns.boxplot(data=credit_df,y=col,x='default payment next month')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "_Qcg0Q7-ZH0t",
        "outputId": "c9550c21-2134-43c7-acc8-b483ca7d500a"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2880x1440 with 24 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=[40,20])\n",
        "for i,col in enumerate(categorical_variable):\n",
        " plt.subplot(3,4,i+1)\n",
        " sns.countplot(x=col,data=credit_df)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 461
        },
        "id": "s4ExnFR3ZMcr",
        "outputId": "01541e82-71a0-473b-acad-09f04e466e3d"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2880x1440 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "ploting and understanding the categorical features"
      ],
      "metadata": {
        "id": "x5hLp7JTZWH9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "categorical_features = ['SEX', 'EDUCATION', 'MARRIAGE']"
      ],
      "metadata": {
        "id": "yEaSA6D6ZQiP"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df_cat = credit_df[categorical_features]\n",
        "credit_df_cat['Defaulter'] =credit_df['default payment next month']"
      ],
      "metadata": {
        "id": "aH8pD9CKZTpt"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df_cat.replace({'SEX': {1 : 'MALE', 2 : 'FEMALE'}, 'EDUCATION' : {1 : 'graduate school', 2 : 'university', 3 : 'high school', 4 : 'others'}, 'MARRIAGE' : {1 : 'married', 2 : 'single', 3 : 'others'}}, inplace = True)\n"
      ],
      "metadata": {
        "id": "T1CMNFD9ZhHL"
      },
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for col in categorical_features:\n",
        "  plt.figure(figsize=(10,5))\n",
        "  fig, axes = plt.subplots(ncols=2,figsize=(13,8))\n",
        "  credit_df[col].value_counts().plot(kind=\"pie\",ax = axes[0],subplots=True)\n",
        "  sns.countplot(x = col, hue = 'Defaulter', data = credit_df_cat)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "FMsxhAWUZtIv",
        "outputId": "ab1fad4f-4ffd-4df5-a291-0412516a8fb8"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 0 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 936x576 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 0 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 936x576 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 0 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 936x576 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "Below are few observations for categorical features:\n",
        "\n",
        "There are more females credit card holder,so no. of defaulter have high proportion of females.\n",
        "\n",
        "No. of defaulters have a higher proportion of educated people (graduate school and university)\n",
        "\n",
        "No. of defaulters have a higher proportion of Singles."
      ],
      "metadata": {
        "id": "kaSQtimlZvd-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df['AGE'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PUwM09FtZ4K5",
        "outputId": "77edee74-5d82-44c3-db0c-5de3436285f4"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "29    1605\n",
              "27    1477\n",
              "28    1409\n",
              "30    1395\n",
              "26    1256\n",
              "31    1217\n",
              "25    1186\n",
              "34    1162\n",
              "32    1158\n",
              "33    1146\n",
              "24    1127\n",
              "35    1113\n",
              "36    1108\n",
              "37    1041\n",
              "39     954\n",
              "38     944\n",
              "23     931\n",
              "40     870\n",
              "41     824\n",
              "42     794\n",
              "44     700\n",
              "43     670\n",
              "45     617\n",
              "46     570\n",
              "22     560\n",
              "47     501\n",
              "48     466\n",
              "49     452\n",
              "50     411\n",
              "51     340\n",
              "53     325\n",
              "52     304\n",
              "54     247\n",
              "55     209\n",
              "56     178\n",
              "58     122\n",
              "57     122\n",
              "59      83\n",
              "60      67\n",
              "21      67\n",
              "61      56\n",
              "62      44\n",
              "63      31\n",
              "64      31\n",
              "66      25\n",
              "65      24\n",
              "67      16\n",
              "69      15\n",
              "70      10\n",
              "68       5\n",
              "73       4\n",
              "72       3\n",
              "75       3\n",
              "71       3\n",
              "79       1\n",
              "74       1\n",
              "Name: AGE, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df['AGE']=credit_df['AGE'].astype('int')"
      ],
      "metadata": {
        "id": "pKY1vwhEZ8W0"
      },
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "visualising the bill amount"
      ],
      "metadata": {
        "id": "ScVbxdZ-aDsi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "bill_amnt_credit_df = credit_df[['BILL_AMT1',\t'BILL_AMT2',\t'BILL_AMT3',\t'BILL_AMT4',\t'BILL_AMT5',\t'BILL_AMT6']]"
      ],
      "metadata": {
        "id": "RA5dJ01uaF4C"
      },
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.pairplot(data = bill_amnt_credit_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 936
        },
        "id": "DuGbiju_afDt",
        "outputId": "7a657ef3-b149-49b3-eb53-1f3238be4f80"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7f48f335eb10>"
            ]
          },
          "metadata": {},
          "execution_count": 54
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x1080 with 42 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a new column \"HAS_DEF\" to indicate customers who have at least 1 deafult payment from PAY_1 to Pay_6\n",
        "# 0 : no default ; 1: has default\n",
        "\n",
        "def_condition = (credit_df.PAY_0 >1) | (credit_df.PAY_2 >1) | (credit_df.PAY_3 >1) | (credit_df.PAY_4 >1) | (credit_df.PAY_5 >1) | (credit_df.PAY_6 >1)\n",
        "credit_df.loc[def_condition, \"HAS_DEF\"] = 1\n",
        "credit_df.loc[credit_df.HAS_DEF.isna(), \"HAS_DEF\"] = 0"
      ],
      "metadata": {
        "id": "vIOdJt1Jag_d"
      },
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Subset a dataframe with the records that have default\n",
        "\n",
        "has_default = credit_df[credit_df['HAS_DEF']== 1]\n",
        "default_trend = has_default[['PAY_6','PAY_5','PAY_4','PAY_3','PAY_2','PAY_0']].sum(axis=0)\n",
        "\n",
        "# Draw a line chart to show the trend. The lower the number, the shorter delayed payment\n",
        "fig,ax = plt.subplots()\n",
        "ax.plot(default_trend)\n",
        "plt.xticks(['PAY_6','PAY_5','PAY_4','PAY_3','PAY_2','PAY_0'],['Apr','May','Jun','Jul','Aug','Sep'])\n",
        "\n",
        "plt.xlabel('Months in 2005',fontweight='bold')\n",
        "plt.ylabel('Total delayed months',fontweight='bold')\n",
        "plt.title('Delayed payment trend',fontweight='bold')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 291
        },
        "id": "2fiBXQh8bv0T",
        "outputId": "704a0f83-8709-4ac1-a040-b857ce6f7cb8"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "There was a huge jump from May,2005 (PAY_5) to July, 2005 (PAY_3) when delayed payment increased significantly, then it peaked at August, 2005 (PAY_2), things started to get better in September, 2005 (PAY_0)."
      ],
      "metadata": {
        "id": "_mb8CbUYbxwl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "credit_df.drop('HAS_DEF',axis=1,inplace=True)"
      ],
      "metadata": {
        "id": "Qe6gae2HcUX6"
      },
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "As we have seen earlier that we have imbalanced dataset. So to remediate Imbalance we are using SMOTE(Synthetic Minority Oversampling Technique)"
      ],
      "metadata": {
        "id": "GGrQ2HNAfYZE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from imblearn.over_sampling import SMOTE\n",
        "\n",
        "smote = SMOTE()\n",
        "\n",
        "# fit predictor and target variable\n",
        "x_smote, y_smote = smote.fit_resample(credit_df.iloc[:,0:-1], credit_df['default payment next month'])\n",
        "\n",
        "print('Original dataset shape', len(credit_df))\n",
        "print('Resampled dataset shape', len(y_smote))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZXZKGvImffmX",
        "outputId": "59876130-2afd-4ad9-ed05-4eb381f4c999"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Original dataset shape 30000\n",
            "Resampled dataset shape 46728\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "columns = list(credit_df.columns)"
      ],
      "metadata": {
        "id": "jzQXqowHfgnQ"
      },
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "columns.pop()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "FHbXVl7uflpo",
        "outputId": "d490a3a9-caf8-4d00-e661-ecccdc8676a4"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'default payment next month'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "balance_df = pd.DataFrame(x_smote, columns = columns)"
      ],
      "metadata": {
        "id": "meO8qYcDfojS"
      },
      "execution_count": 64,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "balance_df['default payment next month'] = y_smote"
      ],
      "metadata": {
        "id": "FvL_7uWvfw4e"
      },
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#LOGISTIC REGRESSION\n"
      ],
      "metadata": {
        "id": "S87Q2YlsgARa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_log_reg = balance_df"
      ],
      "metadata": {
        "id": "SQjfhTzBgLdO"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X=df_log_reg[set(df_log_reg.columns)-{'default payment next month'}]\n",
        "y=df_log_reg[{'default payment next month'}]"
      ],
      "metadata": {
        "id": "XcBwAcoYgQZq"
      },
      "execution_count": 67,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "columns = X.columns "
      ],
      "metadata": {
        "id": "dmopJtSagSrc"
      },
      "execution_count": 68,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "scaler = StandardScaler()\n",
        "X = scaler.fit_transform(X)"
      ],
      "metadata": {
        "id": "pcgpZcbtgW3B"
      },
      "execution_count": 69,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42, stratify = y)"
      ],
      "metadata": {
        "id": "PI9OP_2cgZU4"
      },
      "execution_count": 70,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "param_grid = {'penalty':['l1','l2'], 'C' : [0.001, 0.01, 0.1, 1, 10, 100, 1000] }"
      ],
      "metadata": {
        "id": "ABn3UJw3gbAY"
      },
      "execution_count": 71,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import GridSearchCV"
      ],
      "metadata": {
        "id": "iyZI_AMygc12"
      },
      "execution_count": 72,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "grid_lr_clf = GridSearchCV(LogisticRegression(), param_grid, scoring = 'accuracy', n_jobs = -1, verbose = 3, cv = 3)\n",
        "grid_lr_clf.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gd-XwX3BgeeN",
        "outputId": "8e64742e-aaff-46bb-bead-fea13e57346c"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 3 folds for each of 14 candidates, totalling 42 fits\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GridSearchCV(cv=3, estimator=LogisticRegression(), n_jobs=-1,\n",
              "             param_grid={'C': [0.001, 0.01, 0.1, 1, 10, 100, 1000],\n",
              "                         'penalty': ['l1', 'l2']},\n",
              "             scoring='accuracy', verbose=3)"
            ]
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "optimized_clf = grid_lr_clf.best_estimator_"
      ],
      "metadata": {
        "id": "d18b5VBgggei"
      },
      "execution_count": 74,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "grid_lr_clf.best_params_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3wns72Tegi3I",
        "outputId": "c54e72dd-e9d4-4d1a-9067-87a4f1f55e44"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'C': 0.01, 'penalty': 'l2'}"
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "grid_lr_clf.best_score_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9Eo546oJglCX",
        "outputId": "04ade380-9042-4bfa-ebba-85bbfe9e4f27"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.722522222138557"
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Predicted Probability\n",
        "train_preds = optimized_clf.predict_proba(X_train)[:,1]\n",
        "test_preds = optimized_clf.predict_proba(X_test)[:,1]"
      ],
      "metadata": {
        "id": "jGd2H7QGgm1w"
      },
      "execution_count": 77,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Get the predicted classes\n",
        "train_class_preds = optimized_clf.predict(X_train)\n",
        "test_class_preds = optimized_clf.predict(X_test)"
      ],
      "metadata": {
        "id": "Pxd5WNLbgpAw"
      },
      "execution_count": 78,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Get the accuracy scores\n",
        "train_accuracy_lr = accuracy_score(train_class_preds,y_train)\n",
        "test_accuracy_lr = accuracy_score(test_class_preds,y_test)\n",
        "\n",
        "print(\"The accuracy on train data is \", train_accuracy_lr)\n",
        "print(\"The accuracy on test data is \", test_accuracy_lr)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4QLX99WBgqr3",
        "outputId": "96ada013-b10a-498a-e653-f8443eafdd92"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The accuracy on train data is  0.7227457118216374\n",
            "The accuracy on test data is  0.7193437520264574\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "\n",
        "from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score, roc_auc_score, confusion_matrix, roc_curve, auc\n",
        "\n",
        "from sklearn.svm import SVC"
      ],
      "metadata": {
        "id": "nBc6My8pgtVV"
      },
      "execution_count": 80,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_accuracy_lr = accuracy_score(test_class_preds,y_test)\n",
        "test_precision_score_lr = precision_score(test_class_preds,y_test)\n",
        "test_recall_score_lr = recall_score(test_class_preds,y_test)\n",
        "test_f1_score_lr = f1_score(test_class_preds,y_test)\n",
        "test_roc_score_lr = roc_auc_score(test_class_preds,y_test)\n",
        "\n",
        "print(\"The accuracy on test data is \", test_accuracy_lr)\n",
        "print(\"The precision on test data is \", test_precision_score_lr)\n",
        "print(\"The recall on test data is \", test_recall_score_lr)\n",
        "print(\"The f1 on test data is \", test_f1_score_lr)\n",
        "print(\"The roc_score on test data is \", test_roc_score_lr)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ghRCo58jgveG",
        "outputId": "993f16b1-0dfd-4ea1-8cba-0e3768815858"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The accuracy on test data is  0.7193437520264574\n",
            "The precision on test data is  0.7233463035019455\n",
            "The recall on test data is  0.7175759135357694\n",
            "The f1 on test data is  0.7204495543211471\n",
            "The roc_score on test data is  0.7193579659194077\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Get the confusion matrix for both train and test\n",
        "\n",
        "labels = ['Not Defaulter', 'Defaulter']\n",
        "cm = confusion_matrix(y_train, train_class_preds)\n",
        "print(cm)\n",
        "\n",
        "ax= plt.subplot()\n",
        "sns.heatmap(cm, annot=True, ax = ax) #annot=True to annotate cells\n",
        "\n",
        "# labels, title and ticks\n",
        "ax.set_xlabel('Predicted labels')\n",
        "ax.set_ylabel('True labels')\n",
        "ax.set_title('Confusion Matrix')\n",
        "ax.xaxis.set_ticklabels(labels)\n",
        "ax.yaxis.set_ticklabels(labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "id": "eeuuxZUggx3K",
        "outputId": "48622700-3ddc-493d-a303-05eddbaedf94"
      },
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[11333  4320]\n",
            " [ 4360 11294]]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(0, 0.5, 'Not Defaulter'), Text(0, 1.5, 'Defaulter')]"
            ]
          },
          "metadata": {},
          "execution_count": 82
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "feature_importance = pd.DataFrame({'Features':columns, 'Importance':np.abs(optimized_clf.coef_).ravel() })"
      ],
      "metadata": {
        "id": "545ivcg2g0RR"
      },
      "execution_count": 83,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "feature_importance = feature_importance.sort_values(by = 'Importance', ascending=False)[:10]"
      ],
      "metadata": {
        "id": "QbWux3CRg3Ce"
      },
      "execution_count": 84,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.bar(height=feature_importance['Importance'], x= feature_importance['Features'])\n",
        "plt.xticks(rotation=80)\n",
        "plt.title(\"Feature importances via coefficients\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 326
        },
        "id": "h8icFtCfg45p",
        "outputId": "1ea2092c-5d14-4f9e-b338-5c8245654468"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We have implemented logistic regression and we getting f1-sore approx 73%. As we have imbalanced dataset, F1- score is better parameter. Let's go ahead with other models and see if they can yield better result."
      ],
      "metadata": {
        "id": "kJ4blRFCg6h6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "y_preds_proba_lr = optimized_clf.predict_proba(X_test)[::,1]"
      ],
      "metadata": {
        "id": "utdlLhUag8js"
      },
      "execution_count": 87,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred_proba = y_preds_proba_lr\n",
        "fpr, tpr, _ = roc_curve(y_test,  y_pred_proba)\n",
        "auc = roc_auc_score(y_test, y_pred_proba)\n",
        "plt.plot(fpr,tpr,label=\"data 1, auc=\"+str(auc))\n",
        "plt.legend(loc=4)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 262
        },
        "id": "edB71BQEg_fq",
        "outputId": "22f2ec52-0a1f-409c-831b-6e51170becd2"
      },
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Impelmenting SVC"
      ],
      "metadata": {
        "id": "GqqshuhehBuA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import GridSearchCV"
      ],
      "metadata": {
        "id": "w3-cFZ_phlqt"
      },
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# defining parameter range \n",
        "param_grid = {'C': [0.1, 1, 10, 100],   \n",
        "              'kernel': ['rbf']}"
      ],
      "metadata": {
        "id": "AdO9KDAmhpQi"
      },
      "execution_count": 90,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X=balance_df[set(balance_df.columns)-{'default payment next month'}]\n",
        "y=balance_df[{'default payment next month'}]"
      ],
      "metadata": {
        "id": "WEwH8CR3hrAo"
      },
      "execution_count": 91,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "scaler = StandardScaler()\n",
        "X = scaler.fit_transform(X)"
      ],
      "metadata": {
        "id": "dhuQi1rthsrk"
      },
      "execution_count": 92,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42, stratify = y)"
      ],
      "metadata": {
        "id": "qZBCfVe-huU9"
      },
      "execution_count": 93,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.svm import SVC"
      ],
      "metadata": {
        "id": "upZplCuDhwL3"
      },
      "execution_count": 94,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "grid_clf = GridSearchCV(SVC(probability = True), param_grid, scoring = 'accuracy', n_jobs = -1, verbose = 3, cv = 3)\n",
        "grid_clf.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AdBpWApDhyYE",
        "outputId": "4e086470-3c02-4a77-cea5-b3dd9029fbf4"
      },
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 3 folds for each of 4 candidates, totalling 12 fits\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GridSearchCV(cv=3, estimator=SVC(probability=True), n_jobs=-1,\n",
              "             param_grid={'C': [0.1, 1, 10, 100], 'kernel': ['rbf']},\n",
              "             scoring='accuracy', verbose=3)"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "optimal_SVC_clf = grid_clf.best_estimator_"
      ],
      "metadata": {
        "id": "e6F0juZEh0Xr"
      },
      "execution_count": 96,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "grid_clf.best_params_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cw_-yYCvxAGM",
        "outputId": "1e4fc7be-ff83-4c0e-f811-6dbac8affe18"
      },
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'C': 100, 'kernel': 'rbf'}"
            ]
          },
          "metadata": {},
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "grid_clf.best_score_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rPQNzZ2fxMBW",
        "outputId": "a5d6aea4-0052-4ff4-805b-4046b572899c"
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7666017690046049"
            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Get the predicted classes\n",
        "train_class_preds = optimal_SVC_clf.predict(X_train)\n",
        "test_class_preds = optimal_SVC_clf.predict(X_test)"
      ],
      "metadata": {
        "id": "W01RTA3BxCHL"
      },
      "execution_count": 98,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        " #Get the accuracy scores\n",
        "train_accuracy_SVC = accuracy_score(train_class_preds,y_train)\n",
        "test_accuracy_SVC = accuracy_score(test_class_preds,y_test)\n",
        "\n",
        "print(\"The accuracy on train data is \", train_accuracy_SVC)\n",
        "print(\"The accuracy on test data is \", test_accuracy_SVC)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DL6SAB9GxEdH",
        "outputId": "2e10bec4-a491-4658-c592-10f121d462b4"
      },
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The accuracy on train data is  0.8412815025393682\n",
            "The accuracy on test data is  0.7797808183645678\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score, roc_auc_score, confusion_matrix, roc_curve, auc"
      ],
      "metadata": {
        "id": "VqOlPtqXxbKC"
      },
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_accuracy_SVC = accuracy_score(test_class_preds,y_test)\n",
        "test_precision_score_SVC = precision_score(test_class_preds,y_test)\n",
        "test_recall_score_SVC = recall_score(test_class_preds,y_test)\n",
        "test_f1_score_SVC = f1_score(test_class_preds,y_test)\n",
        "test_roc_score_SVC = roc_auc_score(test_class_preds,y_test)\n",
        "\n",
        "print(\"The accuracy on test data is \", test_accuracy_SVC)\n",
        "print(\"The precision on test data is \", test_precision_score_SVC)\n",
        "print(\"The recall on test data is \", test_recall_score_SVC)\n",
        "print(\"The f1 on test data is \", test_f1_score_SVC)\n",
        "print(\"The roc_score on test data is \", test_roc_score_SVC)"
      ],
      "metadata": {
        "id": "L-L1BzZuxb8i",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "869b4b93-9c95-45af-b067-d7e04d17a54f"
      },
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The accuracy on test data is  0.7797808183645678\n",
            "The precision on test data is  0.7642023346303501\n",
            "The recall on test data is  0.7887550200803213\n",
            "The f1 on test data is  0.7762845849802371\n",
            "The roc_score on test data is  0.7800522679322497\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "We can see from above results that we are getting around 80% train accuracy and 78% for test accuracy which is not bad. But f1- score is 76% approx, so there might be more ground for improvement."
      ],
      "metadata": {
        "id": "u0pWl3PzxgM_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Get the confusion matrix for both train and test\n",
        "\n",
        "labels = ['Not Defaulter', 'Defaulter']\n",
        "cm = confusion_matrix(y_train, train_class_preds)\n",
        "print(cm)\n",
        "\n",
        "ax= plt.subplot()\n",
        "sns.heatmap(cm, annot=True, ax = ax) #annot=True to annotate cells\n",
        "\n",
        "# labels, title and ticks\n",
        "ax.set_xlabel('Predicted labels')\n",
        "ax.set_ylabel('True labels')\n",
        "ax.set_title('Confusion Matrix')\n",
        "ax.xaxis.set_ticklabels(labels)\n",
        "ax.yaxis.set_ticklabels(labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "id": "70VGclgNxjyY",
        "outputId": "94cdb51f-583a-498e-838c-68b1e69bfb94"
      },
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[13482  2171]\n",
            " [ 2798 12856]]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(0, 0.5, 'Not Defaulter'), Text(0, 1.5, 'Defaulter')]"
            ]
          },
          "metadata": {},
          "execution_count": 103
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "optimal_SVC_clf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hb1XHQY5xmHB",
        "outputId": "83aa1041-698b-4b94-9049-5bb62923ba04"
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SVC(C=100, probability=True)"
            ]
          },
          "metadata": {},
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Get the predicted classes\n",
        "train_class_preds = optimal_SVC_clf.predict(X_train)\n",
        "test_class_preds = optimal_SVC_clf.predict(X_test)"
      ],
      "metadata": {
        "id": "8rrVEuTmxoYO"
      },
      "execution_count": 105,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred_proba_SVC = optimal_SVC_clf.predict_proba(X_test)[::,1]"
      ],
      "metadata": {
        "id": "Fp87479zxqMT"
      },
      "execution_count": 106,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# ROC AUC CURVE\n",
        "fpr, tpr, _ = roc_curve(y_test,  y_pred_proba_SVC)\n",
        "auc = roc_auc_score(y_test, y_pred_proba_SVC)\n",
        "plt.plot(fpr,tpr,label=\"data 1, auc=\"+str(auc))\n",
        "plt.legend(loc=4)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 262
        },
        "id": "JPLVBSLRyFw_",
        "outputId": "5c30d339-dc1a-46bc-a535-ec68b76b90c3"
      },
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "EwC0VnRIyGoV"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}