01_EDA_and_Data_PreProcessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# End-to-End AutoML for Insurance Cross-Sell\n",
    "\n",
    "## Part 1 - EDA and Data Pre-Processing\n",
    "\n",
    "\n",
    "### Contents\n",
    "[Part 1 - Project Overview](#overview)  \n",
    "[Part 2 - Initial Setup](#setup)  \n",
    "[Part 3 - Exploratory Data Analysis](#eda)  \n",
    "[Part 4 - Data Pre-Processing and Transformation](#pre-processing)  \n",
    "[Part 5 - References](#references) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "___\n",
    "<a name=\"overview\"></a>\n",
    "## (1) Project Overview\n",
    "\n",
    "**The Challenge**  \n",
    "- Insurance Cross-Sell Model: Predict which existing health insurance customers would be interested in purchasing vehicle insurance as well\n",
    "- This is a binary classification task\n",
    "\n",
    "Link: https://www.kaggle.com/anmolkumar/health-insurance-cross-sell-prediction\n",
    "___\n",
    "**The Data**  \n",
    "In this dataset, you are provided variables describing attributes of health insurance applicants. The task is to predict the \"Response\" variable for each Id in the test set \n",
    "___\n",
    "**id:**\tUnique ID for the customer  \n",
    "**Gender:**\tGender of the customer  \n",
    "**Age:** Age of the customer  \n",
    "**Driving_License:** 0 : Customer does not have DL, 1 : Customer already has DL  \n",
    "**Region_Code:** Unique code for the region of the customer  \n",
    "**Previously_Insured:**\t1 : Customer already has Vehicle Insurance, 0 : Customer doesn't have Vehicle Insurance  \n",
    "**Vehicle_Age:** Age of the Vehicle  \n",
    "**Vehicle_Damage:**\t1 : Customer got his/her vehicle damaged in the past. 0 : Customer didn't get his/her vehicle damaged in the past.  \n",
    "**Annual_Premium:**\tThe amount customer needs to pay as premium in the year  \n",
    "**PolicySalesChannel:**\tAnonymized Code for the channel of outreaching to the customer ie. Different Agents, Over Mail, Over Phone, In Person, etc.  \n",
    "**Vintage:** Number of Days that the customer has been associated with the company  \n",
    "**Response**: 1 : Customer is interested, 0 : Customer is not interested  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name=\"setup\"></a>\n",
    "## (2) Initial Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler, LabelEncoder, OrdinalEncoder, MinMaxScaler\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn import metrics\n",
    "\n",
    "import opendatasets as od\n",
    "import zipfile\n",
    "import os\n",
    "import shutil\n",
    "import pickle\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download Datasets\n",
    "To use the Kaggle API, sign up for a Kaggle account at https://www.kaggle.com. Then go to the 'Account' tab of your user profile (https://www.kaggle.com/<username>/account) and select 'Create API Token'. This will trigger the download of kaggle.json, a file containing your API credentials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skipping, found downloaded files in \"./data/raw/health-insurance-cross-sell-prediction\" (use force=True to force download)\n"
     ]
    }
   ],
   "source": [
    "# Retrieve data directly from source (using Kaggle API credentials, found in kaggle.json)\n",
    "od.download(\"https://www.kaggle.com/anmolkumar/health-insurance-cross-sell-prediction\",\n",
    "           './data/raw/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['test.csv', 'train.csv', 'sample_submission.csv']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View files in the raw folder\n",
    "raw_path = './data/raw/health-insurance-cross-sell-prediction/'\n",
    "os.listdir(raw_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Move train and test flat files into input folder\n",
    "for filename in os.listdir(raw_path):\n",
    "    if 'train' in filename or 'test' in filename:\n",
    "        shutil.copy(raw_path+filename, './data/input/'+filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "114333"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import input datasets\n",
    "main_df = pd.read_csv('data/input/train.csv')\n",
    "\n",
    "# Keep only random 1/3 sample of data (to optimize size for training)\n",
    "main_df = main_df.sample(frac=0.3, replace=False, random_state=42).reset_index(drop=True)\n",
    "\n",
    "len(main_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note: We are not using the test.csv dataset because it does not have the target `Response` variable, and we will not be submitting our predictions to Kaggle"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup helper functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Display value counts and NaN counts\n",
    "def show_value_counts(df, column):\n",
    "    value_count_df = pd.DataFrame(df[column].value_counts().rename_axis(column).reset_index(name='counts'))\n",
    "    value_count_df['percentage'] = round(100 * (value_count_df['counts'] / len(df)),1)\n",
    "    return value_count_df\n",
    "\n",
    "def show_nan_counts(df):\n",
    "    nan_count_df = pd.DataFrame(df.isna().sum()).sort_values(by=0, ascending = False)\n",
    "    nan_count_df.columns = ['counts']\n",
    "    nan_count_df['percentage'] = round(100 * (nan_count_df['counts'] / len(df)),1)\n",
    "    return nan_count_df\n",
    "\n",
    "# Display correlation plot as heatmap\n",
    "def show_heatmap(data, figsize=(12,8), \n",
    "                 highest_only=False, \n",
    "                 thresold=0.7, # Look at only highly correlated pairs\n",
    "                 annot=False):\n",
    "    correlation_matrix = data.corr()\n",
    "    high_corr = correlation_matrix[np.abs(correlation_matrix)>= thresold]\n",
    "    plt.figure(figsize=figsize)\n",
    "\n",
    "    if highest_only:\n",
    "        sns.heatmap(high_corr, annot=annot, cmap=\"Greens\", \n",
    "                    linecolor='black', linewidths=0.1)\n",
    "    else:\n",
    "        sns.heatmap(correlation_matrix, annot=annot)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## (3) Exploratory Data Analysis (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(114333, 12)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>Gender</th>\n",
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       "      <th>Driving_License</th>\n",
       "      <th>Region_Code</th>\n",
       "      <th>Previously_Insured</th>\n",
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       "      <td>30.0</td>\n",
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       "      <td>61127.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>75</td>\n",
       "      <td>0</td>\n",
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       "      <th>89257</th>\n",
       "      <td>336172</td>\n",
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       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1-2 Year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>27535.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>144</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
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      "text/plain": [
       "            id  Gender  Age  Driving_License  Region_Code  Previously_Insured  \\\n",
       "101252  109636  Female   24                1         30.0                   1   \n",
       "12735   155568    Male   41                1         38.0                   1   \n",
       "103407   24599  Female   24                1          8.0                   1   \n",
       "29441   268255    Male   68                1         28.0                   1   \n",
       "32920   361751  Female   43                1         28.0                   0   \n",
       "89257   336172  Female   37                1         33.0                   0   \n",
       "33015   353397    Male   22                1          3.0                   1   \n",
       "63388   276118    Male   80                1         46.0                   1   \n",
       "67443   296079  Female   24                1          6.0                   1   \n",
       "88887    25001    Male   48                1         28.0                   0   \n",
       "\n",
       "       Vehicle_Age Vehicle_Damage  Annual_Premium  Policy_Sales_Channel  \\\n",
       "101252    < 1 Year             No         33273.0                 152.0   \n",
       "12735     1-2 Year            Yes         34782.0                 124.0   \n",
       "103407    < 1 Year             No         42539.0                 152.0   \n",
       "29441     1-2 Year             No         59126.0                  26.0   \n",
       "32920     1-2 Year            Yes         61127.0                  26.0   \n",
       "89257     1-2 Year            Yes         27535.0                 156.0   \n",
       "33015     < 1 Year             No          2630.0                 152.0   \n",
       "63388     1-2 Year             No         55757.0                  26.0   \n",
       "67443     < 1 Year             No         23862.0                 152.0   \n",
       "88887     1-2 Year            Yes         25118.0                 122.0   \n",
       "\n",
       "        Vintage  Response  \n",
       "101252      192         0  \n",
       "12735       132         0  \n",
       "103407       60         0  \n",
       "29441       135         0  \n",
       "32920        75         0  \n",
       "89257       144         0  \n",
       "33015       263         0  \n",
       "63388       294         0  \n",
       "67443       197         0  \n",
       "88887       148         1  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main_df.sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Response (target) variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Response</th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>100195</td>\n",
       "      <td>87.6</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>14138</td>\n",
       "      <td>12.4</td>\n",
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      ],
      "text/plain": [
       "   Response  counts  percentage\n",
       "0         0  100195        87.6\n",
       "1         1   14138        12.4"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_value_counts(main_df, 'Response')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Response', ylabel='count'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(7,5))\n",
    "sns.countplot(x=main_df[\"Response\"], order=[0,1], ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predictor Variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                        int64\n",
       "Gender                   object\n",
       "Age                       int64\n",
       "Driving_License           int64\n",
       "Region_Code             float64\n",
       "Previously_Insured        int64\n",
       "Vehicle_Age              object\n",
       "Vehicle_Damage           object\n",
       "Annual_Premium          float64\n",
       "Policy_Sales_Channel    float64\n",
       "Vintage                   int64\n",
       "Response                  int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Gender', 'Vehicle_Age', 'Vehicle_Damage']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Identify columns which are not numerical:\n",
    "categorical = [col for col in main_df.columns if main_df[col].dtype =='object']\n",
    "categorical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>counts</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Driving_License</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region_Code</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Previously_Insured</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vehicle_Age</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vehicle_Damage</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annual_Premium</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Policy_Sales_Channel</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vintage</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Response</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      counts  percentage\n",
       "id                         0         0.0\n",
       "Gender                     0         0.0\n",
       "Age                        0         0.0\n",
       "Driving_License            0         0.0\n",
       "Region_Code                0         0.0\n",
       "Previously_Insured         0         0.0\n",
       "Vehicle_Age                0         0.0\n",
       "Vehicle_Damage             0         0.0\n",
       "Annual_Premium             0         0.0\n",
       "Policy_Sales_Channel       0         0.0\n",
       "Vintage                    0         0.0\n",
       "Response                   0         0.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "show_nan_counts(main_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Correlation Plot for Basic Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_heatmap(main_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(main_df['Age']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(main_df['Vintage']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(main_df['Annual_Premium']);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name=\"pre-processing\"></a>\n",
    "## (4) Data Pre-Processing and Transformation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Driving_License</th>\n",
       "      <th>Region_Code</th>\n",
       "      <th>Previously_Insured</th>\n",
       "      <th>Vehicle_Age</th>\n",
       "      <th>Vehicle_Damage</th>\n",
       "      <th>Annual_Premium</th>\n",
       "      <th>Policy_Sales_Channel</th>\n",
       "      <th>Vintage</th>\n",
       "      <th>Response</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>200223</td>\n",
       "      <td>Female</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>&lt; 1 Year</td>\n",
       "      <td>No</td>\n",
       "      <td>20408.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>72</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>49767</td>\n",
       "      <td>Male</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1-2 Year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>37498.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>102</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>172202</td>\n",
       "      <td>Female</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1-2 Year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2630.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>160714</td>\n",
       "      <td>Female</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt; 1 Year</td>\n",
       "      <td>No</td>\n",
       "      <td>2630.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>268</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>53273</td>\n",
       "      <td>Male</td>\n",
       "      <td>51</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1-2 Year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>34006.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>265</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id  Gender  Age  Driving_License  Region_Code  Previously_Insured  \\\n",
       "0  200223  Female   21                1          3.0                   1   \n",
       "1   49767    Male   55                1         15.0                   0   \n",
       "2  172202  Female   41                1          3.0                   0   \n",
       "3  160714  Female   26                1         11.0                   0   \n",
       "4   53273    Male   51                1         40.0                   0   \n",
       "\n",
       "  Vehicle_Age Vehicle_Damage  Annual_Premium  Policy_Sales_Channel  Vintage  \\\n",
       "0    < 1 Year             No         20408.0                 160.0       72   \n",
       "1    1-2 Year            Yes         37498.0                  26.0      102   \n",
       "2    1-2 Year            Yes          2630.0                  26.0       90   \n",
       "3    < 1 Year             No          2630.0                 151.0      268   \n",
       "4    1-2 Year            Yes         34006.0                 124.0      265   \n",
       "\n",
       "   Response  \n",
       "0         0  \n",
       "1         0  \n",
       "2         0  \n",
       "3         0  \n",
       "4         0  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_data(df):\n",
    "    # Label encode gender\n",
    "    df['Gender'] = df['Gender'].map({'Male':0, 'Female':1}).astype(int)\n",
    "    \n",
    "    # Convert Region_code and Policy_Sales_Channel into categoricals (Object)\n",
    "    df['Region_Code'] = df['Region_Code'].apply(lambda x: str(int(x)))\n",
    "    df['Policy_Sales_Channel'] = df['Policy_Sales_Channel'].apply(lambda x: str(int(x)))\n",
    "    \n",
    "    # One hot encoding of categorical variables (with drop first)\n",
    "    df = pd.get_dummies(df, drop_first=True)\n",
    "    \n",
    "    # Rename vehicle columns\n",
    "    df = df.rename(columns={\"Vehicle_Age_< 1 Year\": \"Vehicle_Age_lt_1Y\", \n",
    "                            \"Vehicle_Age_> 2 Years\": \"Vehicle_Age_gt_2Y\"})\n",
    "    df['Vehicle_Age_lt_1Y'] = df['Vehicle_Age_lt_1Y'].astype('int')\n",
    "    df['Vehicle_Age_gt_2Y'] = df['Vehicle_Age_gt_2Y'].astype('int')\n",
    "    \n",
    "    # Drop ID column\n",
    "    df = df.drop('id',axis=1)\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "main_df = preprocess_data(main_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train Test Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Shuffle your dataset \n",
    "shuffle_df = main_df.sample(frac=1, random_state=1)\n",
    "\n",
    "# Define a size for your train set (80:20)\n",
    "train_size = int(0.8 * len(main_df))\n",
    "\n",
    "# Split your dataset \n",
    "train_df = shuffle_df[:train_size]\n",
    "test_df = shuffle_df[train_size:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scale Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def scale_data(df, train):\n",
    "    # Performing normalization\n",
    "    numerical_features = ['Age', 'Vintage', 'Annual_Premium']\n",
    "    \n",
    "    if train:\n",
    "        mm = MinMaxScaler() \n",
    "        df[numerical_features] = mm.fit_transform(df[numerical_features])\n",
    "        pickle.dump(mm, open(\"./data/minmax_scaler.pkl\", 'wb'))\n",
    "    else:\n",
    "        mm = pickle.load(open(\"./data/minmax_scaler.pkl\", 'rb'))\n",
    "        df[numerical_features] = mm.transform(df[numerical_features])\n",
    "        \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = scale_data(train_df, train=True)\n",
    "test_df = scale_data(test_df, train=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert len(train_df.columns) == len(test_df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Driving_License</th>\n",
       "      <th>Previously_Insured</th>\n",
       "      <th>Annual_Premium</th>\n",
       "      <th>Vintage</th>\n",
       "      <th>Response</th>\n",
       "      <th>Region_Code_1</th>\n",
       "      <th>Region_Code_10</th>\n",
       "      <th>Region_Code_11</th>\n",
       "      <th>Region_Code_12</th>\n",
       "      <th>Region_Code_13</th>\n",
       "      <th>Region_Code_14</th>\n",
       "      <th>Region_Code_15</th>\n",
       "      <th>Region_Code_16</th>\n",
       "      <th>Region_Code_17</th>\n",
       "      <th>Region_Code_18</th>\n",
       "      <th>Region_Code_19</th>\n",
       "      <th>Region_Code_2</th>\n",
       "      <th>Region_Code_20</th>\n",
       "      <th>Region_Code_21</th>\n",
       "      <th>Region_Code_22</th>\n",
       "      <th>Region_Code_23</th>\n",
       "      <th>Region_Code_24</th>\n",
       "      <th>Region_Code_25</th>\n",
       "      <th>Region_Code_26</th>\n",
       "      <th>Region_Code_27</th>\n",
       "      <th>Region_Code_28</th>\n",
       "      <th>Region_Code_29</th>\n",
       "      <th>Region_Code_3</th>\n",
       "      <th>Region_Code_30</th>\n",
       "      <th>Region_Code_31</th>\n",
       "      <th>Region_Code_32</th>\n",
       "      <th>Region_Code_33</th>\n",
       "      <th>Region_Code_34</th>\n",
       "      <th>Region_Code_35</th>\n",
       "      <th>Region_Code_36</th>\n",
       "      <th>Region_Code_37</th>\n",
       "      <th>Region_Code_38</th>\n",
       "      <th>Region_Code_39</th>\n",
       "      <th>Region_Code_4</th>\n",
       "      <th>Region_Code_40</th>\n",
       "      <th>Region_Code_41</th>\n",
       "      <th>Region_Code_42</th>\n",
       "      <th>Region_Code_43</th>\n",
       "      <th>Region_Code_44</th>\n",
       "      <th>Region_Code_45</th>\n",
       "      <th>Region_Code_46</th>\n",
       "      <th>Region_Code_47</th>\n",
       "      <th>Region_Code_48</th>\n",
       "      <th>Region_Code_49</th>\n",
       "      <th>Region_Code_5</th>\n",
       "      <th>Region_Code_50</th>\n",
       "      <th>Region_Code_51</th>\n",
       "      <th>Region_Code_52</th>\n",
       "      <th>Region_Code_6</th>\n",
       "      <th>Region_Code_7</th>\n",
       "      <th>Region_Code_8</th>\n",
       "      <th>Region_Code_9</th>\n",
       "      <th>Vehicle_Age_lt_1Y</th>\n",
       "      <th>Vehicle_Age_gt_2Y</th>\n",
       "      <th>Vehicle_Damage_Yes</th>\n",
       "      <th>Policy_Sales_Channel_10</th>\n",
       "      <th>Policy_Sales_Channel_100</th>\n",
       "      <th>Policy_Sales_Channel_101</th>\n",
       "      <th>Policy_Sales_Channel_102</th>\n",
       "      <th>Policy_Sales_Channel_103</th>\n",
       "      <th>Policy_Sales_Channel_104</th>\n",
       "      <th>Policy_Sales_Channel_105</th>\n",
       "      <th>Policy_Sales_Channel_106</th>\n",
       "      <th>Policy_Sales_Channel_107</th>\n",
       "      <th>Policy_Sales_Channel_108</th>\n",
       "      <th>Policy_Sales_Channel_109</th>\n",
       "      <th>Policy_Sales_Channel_11</th>\n",
       "      <th>Policy_Sales_Channel_110</th>\n",
       "      <th>Policy_Sales_Channel_111</th>\n",
       "      <th>Policy_Sales_Channel_113</th>\n",
       "      <th>Policy_Sales_Channel_114</th>\n",
       "      <th>Policy_Sales_Channel_115</th>\n",
       "      <th>Policy_Sales_Channel_116</th>\n",
       "      <th>Policy_Sales_Channel_117</th>\n",
       "      <th>Policy_Sales_Channel_118</th>\n",
       "      <th>Policy_Sales_Channel_119</th>\n",
       "      <th>Policy_Sales_Channel_12</th>\n",
       "      <th>Policy_Sales_Channel_120</th>\n",
       "      <th>Policy_Sales_Channel_121</th>\n",
       "      <th>Policy_Sales_Channel_122</th>\n",
       "      <th>Policy_Sales_Channel_124</th>\n",
       "      <th>Policy_Sales_Channel_125</th>\n",
       "      <th>Policy_Sales_Channel_127</th>\n",
       "      <th>Policy_Sales_Channel_128</th>\n",
       "      <th>Policy_Sales_Channel_129</th>\n",
       "      <th>Policy_Sales_Channel_13</th>\n",
       "      <th>Policy_Sales_Channel_130</th>\n",
       "      <th>Policy_Sales_Channel_131</th>\n",
       "      <th>Policy_Sales_Channel_132</th>\n",
       "      <th>Policy_Sales_Channel_133</th>\n",
       "      <th>Policy_Sales_Channel_134</th>\n",
       "      <th>Policy_Sales_Channel_135</th>\n",
       "      <th>Policy_Sales_Channel_136</th>\n",
       "      <th>Policy_Sales_Channel_137</th>\n",
       "      <th>Policy_Sales_Channel_138</th>\n",
       "      <th>Policy_Sales_Channel_139</th>\n",
       "      <th>Policy_Sales_Channel_14</th>\n",
       "      <th>Policy_Sales_Channel_140</th>\n",
       "      <th>Policy_Sales_Channel_143</th>\n",
       "      <th>Policy_Sales_Channel_145</th>\n",
       "      <th>Policy_Sales_Channel_146</th>\n",
       "      <th>Policy_Sales_Channel_147</th>\n",
       "      <th>Policy_Sales_Channel_148</th>\n",
       "      <th>Policy_Sales_Channel_149</th>\n",
       "      <th>Policy_Sales_Channel_15</th>\n",
       "      <th>Policy_Sales_Channel_150</th>\n",
       "      <th>Policy_Sales_Channel_151</th>\n",
       "      <th>Policy_Sales_Channel_152</th>\n",
       "      <th>Policy_Sales_Channel_153</th>\n",
       "      <th>Policy_Sales_Channel_154</th>\n",
       "      <th>Policy_Sales_Channel_155</th>\n",
       "      <th>Policy_Sales_Channel_156</th>\n",
       "      <th>Policy_Sales_Channel_157</th>\n",
       "      <th>Policy_Sales_Channel_158</th>\n",
       "      <th>Policy_Sales_Channel_159</th>\n",
       "      <th>Policy_Sales_Channel_16</th>\n",
       "      <th>Policy_Sales_Channel_160</th>\n",
       "      <th>Policy_Sales_Channel_163</th>\n",
       "      <th>Policy_Sales_Channel_17</th>\n",
       "      <th>Policy_Sales_Channel_18</th>\n",
       "      <th>Policy_Sales_Channel_19</th>\n",
       "      <th>Policy_Sales_Channel_2</th>\n",
       "      <th>Policy_Sales_Channel_20</th>\n",
       "      <th>Policy_Sales_Channel_21</th>\n",
       "      <th>Policy_Sales_Channel_22</th>\n",
       "      <th>Policy_Sales_Channel_23</th>\n",
       "      <th>Policy_Sales_Channel_24</th>\n",
       "      <th>Policy_Sales_Channel_25</th>\n",
       "      <th>Policy_Sales_Channel_26</th>\n",
       "      <th>Policy_Sales_Channel_27</th>\n",
       "      <th>Policy_Sales_Channel_28</th>\n",
       "      <th>Policy_Sales_Channel_29</th>\n",
       "      <th>Policy_Sales_Channel_3</th>\n",
       "      <th>Policy_Sales_Channel_30</th>\n",
       "      <th>Policy_Sales_Channel_31</th>\n",
       "      <th>Policy_Sales_Channel_32</th>\n",
       "      <th>Policy_Sales_Channel_34</th>\n",
       "      <th>Policy_Sales_Channel_35</th>\n",
       "      <th>Policy_Sales_Channel_36</th>\n",
       "      <th>Policy_Sales_Channel_37</th>\n",
       "      <th>Policy_Sales_Channel_38</th>\n",
       "      <th>Policy_Sales_Channel_39</th>\n",
       "      <th>Policy_Sales_Channel_4</th>\n",
       "      <th>Policy_Sales_Channel_40</th>\n",
       "      <th>Policy_Sales_Channel_41</th>\n",
       "      <th>Policy_Sales_Channel_42</th>\n",
       "      <th>Policy_Sales_Channel_44</th>\n",
       "      <th>Policy_Sales_Channel_45</th>\n",
       "      <th>Policy_Sales_Channel_46</th>\n",
       "      <th>Policy_Sales_Channel_47</th>\n",
       "      <th>Policy_Sales_Channel_48</th>\n",
       "      <th>Policy_Sales_Channel_49</th>\n",
       "      <th>Policy_Sales_Channel_51</th>\n",
       "      <th>Policy_Sales_Channel_52</th>\n",
       "      <th>Policy_Sales_Channel_53</th>\n",
       "      <th>Policy_Sales_Channel_54</th>\n",
       "      <th>Policy_Sales_Channel_55</th>\n",
       "      <th>Policy_Sales_Channel_56</th>\n",
       "      <th>Policy_Sales_Channel_57</th>\n",
       "      <th>Policy_Sales_Channel_58</th>\n",
       "      <th>Policy_Sales_Channel_59</th>\n",
       "      <th>Policy_Sales_Channel_6</th>\n",
       "      <th>Policy_Sales_Channel_60</th>\n",
       "      <th>Policy_Sales_Channel_61</th>\n",
       "      <th>Policy_Sales_Channel_62</th>\n",
       "      <th>Policy_Sales_Channel_63</th>\n",
       "      <th>Policy_Sales_Channel_64</th>\n",
       "      <th>Policy_Sales_Channel_65</th>\n",
       "      <th>Policy_Sales_Channel_66</th>\n",
       "      <th>Policy_Sales_Channel_67</th>\n",
       "      <th>Policy_Sales_Channel_68</th>\n",
       "      <th>Policy_Sales_Channel_69</th>\n",
       "      <th>Policy_Sales_Channel_7</th>\n",
       "      <th>Policy_Sales_Channel_70</th>\n",
       "      <th>Policy_Sales_Channel_71</th>\n",
       "      <th>Policy_Sales_Channel_73</th>\n",
       "      <th>Policy_Sales_Channel_74</th>\n",
       "      <th>Policy_Sales_Channel_75</th>\n",
       "      <th>Policy_Sales_Channel_76</th>\n",
       "      <th>Policy_Sales_Channel_78</th>\n",
       "      <th>Policy_Sales_Channel_79</th>\n",
       "      <th>Policy_Sales_Channel_8</th>\n",
       "      <th>Policy_Sales_Channel_80</th>\n",
       "      <th>Policy_Sales_Channel_81</th>\n",
       "      <th>Policy_Sales_Channel_82</th>\n",
       "      <th>Policy_Sales_Channel_84</th>\n",
       "      <th>Policy_Sales_Channel_86</th>\n",
       "      <th>Policy_Sales_Channel_87</th>\n",
       "      <th>Policy_Sales_Channel_88</th>\n",
       "      <th>Policy_Sales_Channel_89</th>\n",
       "      <th>Policy_Sales_Channel_9</th>\n",
       "      <th>Policy_Sales_Channel_90</th>\n",
       "      <th>Policy_Sales_Channel_91</th>\n",
       "      <th>Policy_Sales_Channel_92</th>\n",
       "      <th>Policy_Sales_Channel_93</th>\n",
       "      <th>Policy_Sales_Channel_94</th>\n",
       "      <th>Policy_Sales_Channel_95</th>\n",
       "      <th>Policy_Sales_Channel_96</th>\n",
       "      <th>Policy_Sales_Channel_97</th>\n",
       "      <th>Policy_Sales_Channel_98</th>\n",
       "      <th>Policy_Sales_Channel_99</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.043928</td>\n",
       "      <td>0.958478</td>\n",
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       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Gender       Age  Driving_License  Previously_Insured  Annual_Premium  \\\n",
       "83163       0  0.000000                1                   0        0.043928   \n",
       "36490       0  0.415385                1                   1        0.068139   \n",
       "21633       0  0.415385                1                   0        0.062545   \n",
       "62657       0  0.030769                1                   0        0.000000   \n",
       "98694       0  0.430769                1                   0        0.102691   \n",
       "\n",
       "        Vintage  Response  Region_Code_1  Region_Code_10  Region_Code_11  \\\n",
       "83163  0.958478         0              0               0               0   \n",
       "36490  0.820069         0              0               0               0   \n",
       "21633  0.854671         0              0               0               0   \n",
       "62657  0.979239         0              0               0               0   \n",
       "98694  0.532872         1              0               0               0   \n",
       "\n",
       "       Region_Code_12  Region_Code_13  Region_Code_14  Region_Code_15  \\\n",
       "83163               0               0               0               0   \n",
       "36490               0               0               0               0   \n",
       "21633               0               0               0               0   \n",
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       "98694               0               0               0               0   \n",
       "\n",
       "       Region_Code_16  Region_Code_17  Region_Code_18  Region_Code_19  \\\n",
       "83163               0               0               0               0   \n",
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       "62657               0               0               0               0   \n",
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       "\n",
       "       Region_Code_2  Region_Code_20  Region_Code_21  Region_Code_22  \\\n",
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       "36490              0               0               0               0   \n",
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       "\n",
       "       Region_Code_23  Region_Code_24  Region_Code_25  Region_Code_26  \\\n",
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       "\n",
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       "\n",
       "       Vehicle_Damage_Yes  Policy_Sales_Channel_10  Policy_Sales_Channel_100  \\\n",
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       "\n",
       "       Policy_Sales_Channel_101  Policy_Sales_Channel_102  \\\n",
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       "\n",
       "       Policy_Sales_Channel_103  Policy_Sales_Channel_104  \\\n",
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       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_105  Policy_Sales_Channel_106  \\\n",
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       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_107  Policy_Sales_Channel_108  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_109  Policy_Sales_Channel_11  \\\n",
       "83163                         0                        0   \n",
       "36490                         0                        0   \n",
       "21633                         0                        0   \n",
       "62657                         0                        0   \n",
       "98694                         0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_110  Policy_Sales_Channel_111  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_113  Policy_Sales_Channel_114  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_115  Policy_Sales_Channel_116  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_117  Policy_Sales_Channel_118  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_119  Policy_Sales_Channel_12  \\\n",
       "83163                         0                        0   \n",
       "36490                         0                        0   \n",
       "21633                         0                        0   \n",
       "62657                         0                        0   \n",
       "98694                         0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_120  Policy_Sales_Channel_121  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_122  Policy_Sales_Channel_124  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         1   \n",
       "\n",
       "       Policy_Sales_Channel_125  Policy_Sales_Channel_127  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_128  Policy_Sales_Channel_129  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_13  Policy_Sales_Channel_130  \\\n",
       "83163                        0                         0   \n",
       "36490                        0                         0   \n",
       "21633                        0                         0   \n",
       "62657                        0                         0   \n",
       "98694                        0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_131  Policy_Sales_Channel_132  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_133  Policy_Sales_Channel_134  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_135  Policy_Sales_Channel_136  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_137  Policy_Sales_Channel_138  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_139  Policy_Sales_Channel_14  \\\n",
       "83163                         0                        0   \n",
       "36490                         0                        0   \n",
       "21633                         0                        0   \n",
       "62657                         0                        0   \n",
       "98694                         0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_140  Policy_Sales_Channel_143  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_145  Policy_Sales_Channel_146  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_147  Policy_Sales_Channel_148  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_149  Policy_Sales_Channel_15  \\\n",
       "83163                         0                        0   \n",
       "36490                         0                        0   \n",
       "21633                         0                        0   \n",
       "62657                         0                        0   \n",
       "98694                         0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_150  Policy_Sales_Channel_151  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_152  Policy_Sales_Channel_153  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         1                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_154  Policy_Sales_Channel_155  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_156  Policy_Sales_Channel_157  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_158  Policy_Sales_Channel_159  \\\n",
       "83163                         0                         0   \n",
       "36490                         0                         0   \n",
       "21633                         0                         0   \n",
       "62657                         0                         0   \n",
       "98694                         0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_16  Policy_Sales_Channel_160  \\\n",
       "83163                        0                         1   \n",
       "36490                        0                         0   \n",
       "21633                        0                         0   \n",
       "62657                        0                         0   \n",
       "98694                        0                         0   \n",
       "\n",
       "       Policy_Sales_Channel_163  Policy_Sales_Channel_17  \\\n",
       "83163                         0                        0   \n",
       "36490                         0                        0   \n",
       "21633                         0                        0   \n",
       "62657                         0                        0   \n",
       "98694                         0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_18  Policy_Sales_Channel_19  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_2  Policy_Sales_Channel_20  \\\n",
       "83163                       0                        0   \n",
       "36490                       0                        0   \n",
       "21633                       0                        0   \n",
       "62657                       0                        0   \n",
       "98694                       0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_21  Policy_Sales_Channel_22  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_23  Policy_Sales_Channel_24  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_25  Policy_Sales_Channel_26  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        1   \n",
       "21633                        0                        1   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_27  Policy_Sales_Channel_28  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_29  Policy_Sales_Channel_3  \\\n",
       "83163                        0                       0   \n",
       "36490                        0                       0   \n",
       "21633                        0                       0   \n",
       "62657                        0                       0   \n",
       "98694                        0                       0   \n",
       "\n",
       "       Policy_Sales_Channel_30  Policy_Sales_Channel_31  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_32  Policy_Sales_Channel_34  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_35  Policy_Sales_Channel_36  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_37  Policy_Sales_Channel_38  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_39  Policy_Sales_Channel_4  \\\n",
       "83163                        0                       0   \n",
       "36490                        0                       0   \n",
       "21633                        0                       0   \n",
       "62657                        0                       0   \n",
       "98694                        0                       0   \n",
       "\n",
       "       Policy_Sales_Channel_40  Policy_Sales_Channel_41  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_42  Policy_Sales_Channel_44  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_45  Policy_Sales_Channel_46  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_47  Policy_Sales_Channel_48  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_49  Policy_Sales_Channel_51  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_52  Policy_Sales_Channel_53  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_54  Policy_Sales_Channel_55  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_56  Policy_Sales_Channel_57  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_58  Policy_Sales_Channel_59  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_6  Policy_Sales_Channel_60  \\\n",
       "83163                       0                        0   \n",
       "36490                       0                        0   \n",
       "21633                       0                        0   \n",
       "62657                       0                        0   \n",
       "98694                       0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_61  Policy_Sales_Channel_62  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_63  Policy_Sales_Channel_64  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_65  Policy_Sales_Channel_66  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_67  Policy_Sales_Channel_68  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_69  Policy_Sales_Channel_7  \\\n",
       "83163                        0                       0   \n",
       "36490                        0                       0   \n",
       "21633                        0                       0   \n",
       "62657                        0                       0   \n",
       "98694                        0                       0   \n",
       "\n",
       "       Policy_Sales_Channel_70  Policy_Sales_Channel_71  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_73  Policy_Sales_Channel_74  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_75  Policy_Sales_Channel_76  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_78  Policy_Sales_Channel_79  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_8  Policy_Sales_Channel_80  \\\n",
       "83163                       0                        0   \n",
       "36490                       0                        0   \n",
       "21633                       0                        0   \n",
       "62657                       0                        0   \n",
       "98694                       0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_81  Policy_Sales_Channel_82  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_84  Policy_Sales_Channel_86  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_87  Policy_Sales_Channel_88  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_89  Policy_Sales_Channel_9  \\\n",
       "83163                        0                       0   \n",
       "36490                        0                       0   \n",
       "21633                        0                       0   \n",
       "62657                        0                       0   \n",
       "98694                        0                       0   \n",
       "\n",
       "       Policy_Sales_Channel_90  Policy_Sales_Channel_91  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_92  Policy_Sales_Channel_93  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_94  Policy_Sales_Channel_95  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_96  Policy_Sales_Channel_97  \\\n",
       "83163                        0                        0   \n",
       "36490                        0                        0   \n",
       "21633                        0                        0   \n",
       "62657                        0                        0   \n",
       "98694                        0                        0   \n",
       "\n",
       "       Policy_Sales_Channel_98  Policy_Sales_Channel_99  \n",
       "83163                        0                        0  \n",
       "36490                        0                        0  \n",
       "21633                        0                        0  \n",
       "62657                        0                        0  \n",
       "98694                        0                        0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Export processed datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df.to_csv('data/processed/train.csv', index=False)\n",
    "test_df.to_csv('data/processed/test.csv', index=False)"
   ]
  }
 ],
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  },
  "kernelspec": {
   "display_name": "Python 3.10.1 64-bit ('e2e-insurance-cross-sell-prediction-automl-eEZ4gcUa': pipenv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "mimetype": "text/x-python",
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