pree62/RF - Fraud check.ipynb

## RF - Fraud check.ipynb
{
  "cells": [
    {
      "metadata": {},
      "id": "fbbca4c8",
      "cell_type": "markdown",
      "source": "# Random Forest Assignment - Fraud_check"
    },
    {
      "metadata": {},
      "id": "31e858e7",
      "cell_type": "markdown",
      "source": "Dataset: Fraud_check.csv"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:05:17.994937Z",
          "start_time": "2023-08-01T11:05:14.869466Z"
        },
        "trusted": true
      },
      "id": "ca81c661",
      "cell_type": "code",
      "source": "# importing Libraries\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.tree import  DecisionTreeClassifier\nfrom sklearn import tree\nfrom sklearn.metrics import classification_report\nfrom sklearn import preprocessing",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:05:20.208461Z",
          "start_time": "2023-08-01T11:05:20.166175Z"
        },
        "trusted": true
      },
      "id": "afd660a4",
      "cell_type": "code",
      "source": "# Loading Dataset\ndf = pd.read_csv('Fraud_check.csv')",
      "execution_count": 2,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "cfb23ddd",
      "cell_type": "markdown",
      "source": "# EDA & Data Preprocessing"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:05:24.329143Z",
          "start_time": "2023-08-01T11:05:24.288601Z"
        },
        "trusted": true
      },
      "id": "e824d8a4",
      "cell_type": "code",
      "source": "df.head()",
      "execution_count": 3,
      "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>Undergrad</th>\n      <th>Marital.Status</th>\n      <th>Taxable.Income</th>\n      <th>City.Population</th>\n      <th>Work.Experience</th>\n      <th>Urban</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>NO</td>\n      <td>Single</td>\n      <td>68833</td>\n      <td>50047</td>\n      <td>10</td>\n      <td>YES</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>YES</td>\n      <td>Divorced</td>\n      <td>33700</td>\n      <td>134075</td>\n      <td>18</td>\n      <td>YES</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>NO</td>\n      <td>Married</td>\n      <td>36925</td>\n      <td>160205</td>\n      <td>30</td>\n      <td>YES</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>YES</td>\n      <td>Single</td>\n      <td>50190</td>\n      <td>193264</td>\n      <td>15</td>\n      <td>YES</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>NO</td>\n      <td>Married</td>\n      <td>81002</td>\n      <td>27533</td>\n      <td>28</td>\n      <td>NO</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "  Undergrad Marital.Status  Taxable.Income  City.Population  Work.Experience  \\\n0        NO         Single           68833            50047               10   \n1       YES       Divorced           33700           134075               18   \n2        NO        Married           36925           160205               30   \n3       YES         Single           50190           193264               15   \n4        NO        Married           81002            27533               28   \n\n  Urban  \n0   YES  \n1   YES  \n2   YES  \n3   YES  \n4    NO  "
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:05:25.106103Z",
          "start_time": "2023-08-01T11:05:25.060926Z"
        },
        "trusted": true
      },
      "id": "31ef21ff",
      "cell_type": "code",
      "source": "df.info()",
      "execution_count": 4,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 600 entries, 0 to 599\nData columns (total 6 columns):\n #   Column           Non-Null Count  Dtype \n---  ------           --------------  ----- \n 0   Undergrad        600 non-null    object\n 1   Marital.Status   600 non-null    object\n 2   Taxable.Income   600 non-null    int64 \n 3   City.Population  600 non-null    int64 \n 4   Work.Experience  600 non-null    int64 \n 5   Urban            600 non-null    object\ndtypes: int64(3), object(3)\nmemory usage: 28.2+ KB\n"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:05:26.678186Z",
          "start_time": "2023-08-01T11:05:26.645256Z"
        },
        "trusted": true
      },
      "id": "48b1ad28",
      "cell_type": "code",
      "source": "# Renaming columns\ndf = df.rename({'Undergrad':'under_grad', 'Marital.Status':'marital_status', 'Taxable.Income':'taxable_income',\n                    'City.Population':'city_population', 'Work.Experience':'work_experience', 'Urban':'urban'}, axis = 1)\ndf.head()",
      "execution_count": 5,
      "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>under_grad</th>\n      <th>marital_status</th>\n      <th>taxable_income</th>\n      <th>city_population</th>\n      <th>work_experience</th>\n      <th>urban</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>NO</td>\n      <td>Single</td>\n      <td>68833</td>\n      <td>50047</td>\n      <td>10</td>\n      <td>YES</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>YES</td>\n      <td>Divorced</td>\n      <td>33700</td>\n      <td>134075</td>\n      <td>18</td>\n      <td>YES</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>NO</td>\n      <td>Married</td>\n      <td>36925</td>\n      <td>160205</td>\n      <td>30</td>\n      <td>YES</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>YES</td>\n      <td>Single</td>\n      <td>50190</td>\n      <td>193264</td>\n      <td>15</td>\n      <td>YES</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>NO</td>\n      <td>Married</td>\n      <td>81002</td>\n      <td>27533</td>\n      <td>28</td>\n      <td>NO</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "  under_grad marital_status  taxable_income  city_population  work_experience  \\\n0         NO         Single           68833            50047               10   \n1        YES       Divorced           33700           134075               18   \n2         NO        Married           36925           160205               30   \n3        YES         Single           50190           193264               15   \n4         NO        Married           81002            27533               28   \n\n  urban  \n0   YES  \n1   YES  \n2   YES  \n3   YES  \n4    NO  "
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:05:28.368414Z",
          "start_time": "2023-08-01T11:05:28.342149Z"
        },
        "trusted": true
      },
      "id": "bf4f2092",
      "cell_type": "code",
      "source": "df.describe()",
      "execution_count": 6,
      "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>taxable_income</th>\n      <th>city_population</th>\n      <th>work_experience</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>600.000000</td>\n      <td>600.000000</td>\n      <td>600.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>55208.375000</td>\n      <td>108747.368333</td>\n      <td>15.558333</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>26204.827597</td>\n      <td>49850.075134</td>\n      <td>8.842147</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>10003.000000</td>\n      <td>25779.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>32871.500000</td>\n      <td>66966.750000</td>\n      <td>8.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>55074.500000</td>\n      <td>106493.500000</td>\n      <td>15.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>78611.750000</td>\n      <td>150114.250000</td>\n      <td>24.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>99619.000000</td>\n      <td>199778.000000</td>\n      <td>30.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "       taxable_income  city_population  work_experience\ncount      600.000000       600.000000       600.000000\nmean     55208.375000    108747.368333        15.558333\nstd      26204.827597     49850.075134         8.842147\nmin      10003.000000     25779.000000         0.000000\n25%      32871.500000     66966.750000         8.000000\n50%      55074.500000    106493.500000        15.000000\n75%      78611.750000    150114.250000        24.000000\nmax      99619.000000    199778.000000        30.000000"
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:05:31.210529Z",
          "start_time": "2023-08-01T11:05:29.260503Z"
        },
        "trusted": true
      },
      "id": "db7741fa",
      "cell_type": "code",
      "source": "# pairplot\nimport seaborn as sns\nsns.pairplot(df)",
      "execution_count": 7,
      "outputs": [
        {
          "data": {
            "text/plain": "<seaborn.axisgrid.PairGrid at 0x20ba87f58b0>"
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 750x750 with 12 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:05:31.336461Z",
          "start_time": "2023-08-01T11:05:31.214534Z"
        },
        "trusted": true
      },
      "id": "7534d306",
      "cell_type": "code",
      "source": "# checking count of categories for categorical columns colums\nsns.countplot(df['under_grad'])\nplt.show()",
      "execution_count": 8,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "C:\\Users\\preet\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n  warnings.warn(\n"
        },
        {
          "data": {
            "image/png": 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kAABAY32v2OnSpYsk6fLly00yDAAAgL99r9j5tk8++UR79uxReXl5vfh59tlnb3owAAAAf2hU7Lz55pv66U9/qg4dOsjtdsvhcNjHHA4HsQMAAIJGo2LnxRdf1L/8y78oMzPT3/MAAAD4VaN+zk5FRYUefvhhf88CAADgd42KnYcfflg7d+709ywAAAB+16i3sbp27aqFCxdq//79SkpKUsuWLX2OP/30034ZDgAA4GY1KnZWrlypdu3aqaCgQAUFBT7HHA4HsQMAAIJGo2KnuLjY33MAAAA0iUZ9ZgcAAOBW0agnO4899th1j//yl79s1DAAAAD+1qjYqaio8Hl94cIFHT16VOfOnWvwF4QCAAAESqNiZ9OmTfX2Xb58WdOnT9fdd99900MBAAD4i98+s9OiRQs988wzysvL89clAQAAbppfP6D86aef6uLFi/68JAAAwE1p1NtYs2fP9nltWZZKS0v1/vvva/LkyX4ZDAAAwB8aFTsff/yxz+sWLVqoY8eOevXVV7/zO7UAAACaU6NiZ/fu3f6eAwAAoEk0Knau+Mtf/qKTJ0/K4XCoW7du6tixo7/mAgAA8ItGfUD5/PnzeuyxxxQbG6tBgwZp4MCBiouL09SpU/X111/7e0YAAIBGa1TszJ49WwUFBdq6davOnTunc+fO6b333lNBQYHmzJnj7xkBAAAarVFvY/32t7/Vb37zGyUnJ9v7Ro4cqbCwME2YMEErVqzw13wAAAA3pVFPdr7++mu5XK56+2NiYngbCwAABJVGxU7//v313HPP6ZtvvrH31dbWatGiRerfv7/fhgMAALhZjYqdpUuXqrCwUJ06ddKwYcM0fPhweTweffTRR3rttddu+Dp/+MMflJ6erri4ODkcDm3evNnn+JQpU+RwOHy2Bx54wGeN1+vVrFmz1KFDB7Vt21ajR4/WmTNnGnNbAADAQI2KnaSkJJ06dUq5ubnq1auXevTooZdeekmnT5/W/ffff8PXOX/+vHr27Knly5dfc82DDz6o0tJSe9u2bZvP8YyMDG3atEkbNmzQvn37VFNTo1GjRunSpUuNuTUAAGCYRn1AOTc3Vy6XS9OmTfPZ/8tf/lJ/+ctflJmZeUPXSUtLU1pa2nXXOJ1Oud3uBo9VVlbqrbfe0rp16zR8+HBJ0ttvvy2Px6Ndu3YpNTX1huYAAADmatSTnTfeeEP33ntvvf3333+/fvGLX9z0UN+2Z88excTEqFu3bpo2bZrKy8vtY0VFRbpw4YJSUlLsfXFxcUpMTFRhYeE1r+n1elVVVeWzAQAAMzUqdsrKyhQbG1tvf8eOHVVaWnrTQ12Rlpamd955Rx9++KFeffVVHThwQEOHDpXX67XnaNWqldq3b+9znsvlUllZ2TWvm5ubq8jISHvzeDx+mxkAAASXRsXOlQ8jX+2jjz5SXFzcTQ91xSOPPKK///u/V2JiotLT0/XBBx/ok08+0fvvv3/d8yzLksPhuObxrKwsVVZW2ltJSYnfZgYAAMGlUZ/Zefzxx5WRkaELFy5o6NChkqTf//73mjdvXpP+BOXY2Fh16dJFp06dkiS53W7V1dWpoqLC5+lOeXm5BgwYcM3rOJ1OOZ3OJpsTAAAEj0bFzrx58/TVV19p+vTpqqurkyS1bt1amZmZysrK8uuA33b27FmVlJTYb6H17t1bLVu2VH5+viZMmCBJKi0t1dGjR7V48eImmwMAANw6GhU7DodDL7/8shYuXKgTJ04oLCxMCQkJ3/tpSU1NjU6fPm2/Li4u1qFDhxQVFaWoqChlZ2dr/Pjxio2N1Weffab58+erQ4cOGjt2rCQpMjJSU6dO1Zw5cxQdHa2oqCjNnTtXSUlJ9ndnAQCA21ujYueKdu3aqW/fvo0+/+DBgxoyZIj9evbs2ZKkyZMna8WKFTpy5IjWrl2rc+fOKTY2VkOGDNHGjRsVHh5un5OXl6fQ0FBNmDBBtbW1GjZsmFavXq2QkJDG3xgAADDGTcXOzUpOTpZlWdc8vmPHju+8RuvWrbVs2TItW7bMn6MBAABDNOq7sQAAAG4VxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaAGNnT/84Q9KT09XXFycHA6HNm/e7HPcsixlZ2crLi5OYWFhSk5O1rFjx3zWeL1ezZo1Sx06dFDbtm01evRonTlzphnvAgAABLOAxs758+fVs2dPLV++vMHjixcv1pIlS7R8+XIdOHBAbrdbI0aMUHV1tb0mIyNDmzZt0oYNG7Rv3z7V1NRo1KhRunTpUnPdBgAACGKhgfziaWlpSktLa/CYZVlaunSpFixYoHHjxkmS1qxZI5fLpfXr1+vJJ59UZWWl3nrrLa1bt07Dhw+XJL399tvyeDzatWuXUlNTm+1eAABAcAraz+wUFxerrKxMKSkp9j6n06nBgwersLBQklRUVKQLFy74rImLi1NiYqK9BgAA3N4C+mTnesrKyiRJLpfLZ7/L5dLnn39ur2nVqpXat29fb82V8xvi9Xrl9Xrt11VVVf4aGwAABJmgfbJzhcPh8HltWVa9fVf7rjW5ubmKjIy0N4/H45dZAQBA8Ana2HG73ZJU7wlNeXm5/bTH7Xarrq5OFRUV11zTkKysLFVWVtpbSUmJn6cHAADBImhjJz4+Xm63W/n5+fa+uro6FRQUaMCAAZKk3r17q2XLlj5rSktLdfToUXtNQ5xOpyIiInw2AABgpoB+ZqempkanT5+2XxcXF+vQoUOKiopS586dlZGRoZycHCUkJCghIUE5OTlq06aNJk2aJEmKjIzU1KlTNWfOHEVHRysqKkpz585VUlKS/d1ZAADg9hbQ2Dl48KCGDBliv549e7YkafLkyVq9erXmzZun2tpaTZ8+XRUVFerXr5927typ8PBw+5y8vDyFhoZqwoQJqq2t1bBhw7R69WqFhIQ0+/0AAIDg47Asywr0EIFWVVWlyMhIVVZWNulbWr1/trbJrg3cqope+adAj+AXXzyfFOgRgKDT+dkjTXr9G/33O2g/swMAAOAPxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwWlDHTnZ2thwOh8/mdrvt45ZlKTs7W3FxcQoLC1NycrKOHTsWwIkBAECwCerYkaT7779fpaWl9nbkyBH72OLFi7VkyRItX75cBw4ckNvt1ogRI1RdXR3AiQEAQDAJ+tgJDQ2V2+22t44dO0r6v6c6S5cu1YIFCzRu3DglJiZqzZo1+vrrr7V+/foATw0AAIJF0MfOqVOnFBcXp/j4eE2cOFF//vOfJUnFxcUqKytTSkqKvdbpdGrw4MEqLCy87jW9Xq+qqqp8NgAAYKagjp1+/fpp7dq12rFjh958802VlZVpwIABOnv2rMrKyiRJLpfL5xyXy2Ufu5bc3FxFRkbam8fjabJ7AAAAgRXUsZOWlqbx48crKSlJw4cP1/vvvy9JWrNmjb3G4XD4nGNZVr19V8vKylJlZaW9lZSU+H94AAAQFII6dq7Wtm1bJSUl6dSpU/Z3ZV39FKe8vLze056rOZ1ORURE+GwAAMBMt1TseL1enThxQrGxsYqPj5fb7VZ+fr59vK6uTgUFBRowYEAApwQAAMEkNNADXM/cuXOVnp6uzp07q7y8XC+++KKqqqo0efJkORwOZWRkKCcnRwkJCUpISFBOTo7atGmjSZMmBXp0AAAQJII6ds6cOaMf/ehH+utf/6qOHTvqgQce0P79+9WlSxdJ0rx581RbW6vp06eroqJC/fr1086dOxUeHh7gyQEAQLAI6tjZsGHDdY87HA5lZ2crOzu7eQYCAAC3nFvqMzsAAADfF7EDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMJoxsfP6668rPj5erVu3Vu/evbV3795AjwQAAIKAEbGzceNGZWRkaMGCBfr44481cOBApaWl6Ysvvgj0aAAAIMCMiJ0lS5Zo6tSpevzxx9W9e3ctXbpUHo9HK1asCPRoAAAgwG752Kmrq1NRUZFSUlJ89qekpKiwsDBAUwEAgGARGugBbtZf//pXXbp0SS6Xy2e/y+VSWVlZg+d4vV55vV77dWVlpSSpqqqq6QaVdMlb26TXB25FTf33rrlUf3Mp0CMAQaep/35fub5lWdddd8vHzhUOh8PntWVZ9fZdkZubq0WLFtXb7/F4mmQ2ANcWueypQI8AoKnkRjbLl6murlZk5LW/1i0fOx06dFBISEi9pzjl5eX1nvZckZWVpdmzZ9uvL1++rK+++krR0dHXDCSYo6qqSh6PRyUlJYqIiAj0OAD8iL/ftxfLslRdXa24uLjrrrvlY6dVq1bq3bu38vPzNXbsWHt/fn6+HnrooQbPcTqdcjqdPvvuuOOOphwTQSgiIoL/GQKG4u/37eN6T3SuuOVjR5Jmz56tRx99VH369FH//v21cuVKffHFF3rqKR6PAwBwuzMidh555BGdPXtWzz//vEpLS5WYmKht27apS5cugR4NAAAEmBGxI0nTp0/X9OnTAz0GbgFOp1PPPfdcvbcyAdz6+PuNhjis7/p+LQAAgFvYLf9DBQEAAK6H2AEAAEYjdgAAgNGIHRhnypQpcjgceumll3z2b9682eeHRl66dEl5eXnq0aOHWrdurTvuuENpaWn66KOPmntkANdgWZaGDx+u1NTUesdef/11RUZGau3atXI4HA1uV37g7Pnz55WZmam7775brVu3VseOHZWcnKzf/e53zX1LCABiB0Zq3bq1Xn75ZVVUVDR43LIsTZw4Uc8//7yefvppnThxQgUFBfJ4PEpOTtbmzZubd2AADXI4HFq1apX++Mc/6o033rD3FxcXKzMzU6+99po6d+4sSTp58qRKS0t9tpiYGEnSU089pc2bN2v58uX6n//5H23fvl3jx4/X2bNnA3JfaF58NxaMM2XKFJ09e1anT59Wenq6Fi9eLOn/nuyMHTtWlmVp48aNmjhxorZs2aL09HSf88ePH6+CggJ9/vnnatu2bSBuAcBV1qxZo5kzZ+rw4cO66667NGzYMEVERGjz5s3as2ePhgwZooqKimv+NPw77rhDr732miZPnty8gyMo8GQHRgoJCVFOTo6WLVumM2fO1Du+fv16devWrV7oSNKcOXN09uxZ5efnN8eoAG7A5MmTNWzYMP3kJz/R8uXLdfToUa1cufKGz3e73dq2bZuqq6ubcEoEK2IHxho7dqx69eql5557rt6xTz75RN27d2/wvCv7P/nkkyadD8D3s3LlSh0/flwZGRl644037LeorujUqZPatWtnb/fcc4/PuYWFhYqOjlbfvn31zDPP8Pm82wixA6O9/PLLWrNmjY4fP/69z/32h5kBBF5MTIyeeOIJde/e3ecXP1+xd+9eHTp0yN527NhhHxs0aJD+/Oc/6/e//73Gjx+vY8eOaeDAgXrhhRea8xYQIMQOjDZo0CClpqZq/vz5Pvu7det2zQA6ceKEJCkhIaHJ5wPw/YSGhio0tOHfdBQfH6+uXbva21133eVzvGXLlho4cKB+/vOfa+fOnXr++ef1wgsvqK6urhkmRyAROzBebm6utm7dqsLCQnvfxIkTderUKW3durXe+ldffVXR0dEaMWJEc44JoJndd999unjxor755ptAj4ImZswvAgWupUePHvrxj3+sZcuW2fsmTpyoX//615o8ebJeeeUVDRs2TFVVVfq3f/s3bdmyRb/+9a/5TizgFlNeXl4vXKKjo9WyZUslJyfrRz/6kfr06aPo6GgdP35c8+fP15AhQxQRERGgidFceLKD28ILL7ygb/+UBYfDoV/96ldasGCB8vLydO+992rgwIH6/PPPtXv3bo0ZMyZwwwJolHvuuUexsbE+W1FRkSQpNTVVa9asUUpKirp3765Zs2YpNTVVv/rVrwI8NZoDP2cHAAAYjSc7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwCC1p49e+RwOHTu3LlAj+JXd911l5YuXRroMYDbBrEDAACMRuwAMFpdXZ3fr2lZli5evOj36wJoGsQOAL9o6K2ZXr16KTs7W9L//fLVf//3f9fYsWPVpk0bJSQkaMuWLT7rt23bpm7duiksLExDhgzRZ599Vu/rFBYWatCgQQoLC5PH49HTTz+t8+fP+8zx4osvasqUKYqMjNS0adO+c/bCwkL16tVLrVu3Vp8+fbR582Y5HA4dOnRI0v9/O23Hjh3q06ePnE6n9u7dq08//VQPPfSQXC6X2rVrp759+2rXrl0+1y4vL1d6errCwsIUHx+vd95557v/MAH4FbEDoNksWrRIEyZM0OHDhzVy5Ej9+Mc/1ldffSVJKikp0bhx4zRy5EgdOnRIjz/+uH7+85/7nH/kyBGlpqZq3LhxOnz4sDZu3Kh9+/Zp5syZPuteeeUVJSYmqqioSAsXLrzuTNXV1UpPT1dSUpL++7//Wy+88IIyMzMbXDtv3jzl5ubqxIkT6tGjh2pqajRy5Ejt2rVLH3/8sVJTU5Wenq4vvvjCPmfKlCn67LPP9OGHH+o3v/mNXn/9dZWXlzfmjw9AY1kA4AddunSx8vLyfPb17NnTeu655yzLsixJ1j//8z/bx2pqaiyHw2F98MEHlmVZVlZWltW9e3fr8uXL9prMzExLklVRUWFZlmU9+uij1hNPPOHzNfbu3Wu1aNHCqq2ttecYM2bMDc+9YsUKKzo62j7fsizrzTfftCRZH3/8sWVZlrV7925LkrV58+bvvN59991nLVu2zLIsyzp58qQlydq/f799/MSJE5aken9WAJpOaCBDC8DtpUePHvZ/t23bVuHh4fZTjhMnTuiBBx6Qw+Gw1/Tv39/n/KKiIp0+fdrnrSDLsnT58mUVFxere/fukqQ+ffrc8EwnT55Ujx491Lp1a3vf3/3d3zW49urrnj9/XosWLdLvfvc7ffnll7p48aJqa2vtJzsnTpxQaGioz3n33nuv7rjjjhueD8DNI3YA+EWLFi1kWZbPvgsXLvi8btmypc9rh8Ohy5cvS1K9cxty+fJlPfnkk3r66afrHevcubP9323btr3huS3L8gms681y9XV/9rOfaceOHfrXf/1Xde3aVWFhYfqHf/gH+0PRV65z9fUBNC9iB4BfdOzYUaWlpfbrqqoqFRcX3/D59913nzZv3uyzb//+/T6vf/CDH+jYsWPq2rXrTc36bffee6/eeecdeb1eOZ1OSdLBgwdv6Ny9e/dqypQpGjt2rCSppqbG50PV3bt318WLF3Xw4EH7adHJkyeN+7lBQLDjA8oA/GLo0KFat26d9u7dq6NHj2ry5MkKCQm54fOfeuopffrpp5o9e7ZOnjyp9evXa/Xq1T5rMjMz9Z//+Z+aMWOGDh06pFOnTmnLli2aNWtWo+eeNGmSLl++rCeeeEInTpywn9RI3/1EpmvXrnr33Xd16NAh/elPf7KvdcU999yjBx98UNOmTdMf//hHFRUV6fHHH1dYWFij5wXw/RE7APwiKytLgwYN0qhRozRy5EiNGTNGf/M3f3PD53fu3Fm//e1vtXXrVvXs2VO/+MUvlJOT47OmR48eKigo0KlTpzRw4ED97d/+rRYuXKjY2NhGzx0REaGtW7fq0KFD6tWrlxYsWKBnn31Wknw+x9OQvLw8tW/fXgMGDFB6erpSU1P1gx/8wGfNqlWr5PF4NHjwYI0bN05PPPGEYmJiGj0vgO/PYd3IG+UAcBt555139JOf/ESVlZU8hQEMwGd2ANz21q5dq7vvvlt33nmn/vSnPykzM1MTJkwgdABD8DYWAKPl5OSoXbt2DW5paWmSpLKyMv3jP/6junfvrmeeeUYPP/ywVq5cGeDJAfgLb2MBMNpXX31l/5Tmq4WFhenOO+9s5okANDdiBwAAGI23sQAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABG+39dDl8yoy4lFwAAAABJRU5ErkJggg==\n",
            "text/plain": "<Figure size 640x480 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:03.304691Z",
          "start_time": "2023-08-01T11:06:03.170862Z"
        },
        "trusted": true
      },
      "id": "65364db0",
      "cell_type": "code",
      "source": "sns.countplot(df['marital_status'])\nplt.show()",
      "execution_count": 10,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "C:\\Users\\preet\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n  warnings.warn(\n"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 640x480 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:04.704910Z",
          "start_time": "2023-08-01T11:06:04.607298Z"
        },
        "trusted": true
      },
      "id": "b209e682",
      "cell_type": "code",
      "source": "sns.countplot(df['urban'])\nplt.show()",
      "execution_count": 11,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "C:\\Users\\preet\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n  warnings.warn(\n"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 640x480 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:05.532932Z",
          "start_time": "2023-08-01T11:06:05.426346Z"
        },
        "trusted": true
      },
      "id": "fdd04bf3",
      "cell_type": "code",
      "source": "# Checking for outliers in numerical data\nsns.boxplot(df['taxable_income'])\nplt.show()",
      "execution_count": 12,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "C:\\Users\\preet\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n  warnings.warn(\n"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 640x480 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:06.385291Z",
          "start_time": "2023-08-01T11:06:06.219819Z"
        },
        "trusted": true
      },
      "id": "06b72650",
      "cell_type": "code",
      "source": "sns.boxplot(df['city_population'])\nplt.show()",
      "execution_count": 13,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "C:\\Users\\preet\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n  warnings.warn(\n"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 640x480 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:07.160095Z",
          "start_time": "2023-08-01T11:06:07.055605Z"
        },
        "trusted": true
      },
      "id": "cc60e79a",
      "cell_type": "code",
      "source": "sns.boxplot(df['work_experience'])\nplt.show()",
      "execution_count": 14,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "C:\\Users\\preet\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n  warnings.warn(\n"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 640x480 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:08.137042Z",
          "start_time": "2023-08-01T11:06:07.855669Z"
        },
        "trusted": true
      },
      "id": "aeda0238",
      "cell_type": "code",
      "source": "# Correlation analysis for data\ncorr = df.corr()\n#Plot figsize\nfig, ax = plt.subplots(figsize=(10, 6))\n#Generate Heat Map, allow annotations and place floats in map\nsns.heatmap(corr, cmap='magma', annot=True, fmt=\".2f\")\n#Apply xticks\nplt.xticks(range(len(corr.columns)), corr.columns);\n#Apply yticks\nplt.yticks(range(len(corr.columns)), corr.columns)\n#show plot\nplt.show()",
      "execution_count": 15,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 1000x600 with 2 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:08.725516Z",
          "start_time": "2023-08-01T11:06:08.704604Z"
        },
        "trusted": true
      },
      "id": "476520ab",
      "cell_type": "code",
      "source": "# Converting categorical variables into dummy variables\ndf = pd.get_dummies(df)",
      "execution_count": 16,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:09.673644Z",
          "start_time": "2023-08-01T11:06:09.648974Z"
        },
        "trusted": true
      },
      "id": "56b3bc39",
      "cell_type": "code",
      "source": "df.head()",
      "execution_count": 17,
      "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>taxable_income</th>\n      <th>city_population</th>\n      <th>work_experience</th>\n      <th>under_grad_NO</th>\n      <th>under_grad_YES</th>\n      <th>marital_status_Divorced</th>\n      <th>marital_status_Married</th>\n      <th>marital_status_Single</th>\n      <th>urban_NO</th>\n      <th>urban_YES</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>68833</td>\n      <td>50047</td>\n      <td>10</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>33700</td>\n      <td>134075</td>\n      <td>18</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>36925</td>\n      <td>160205</td>\n      <td>30</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>50190</td>\n      <td>193264</td>\n      <td>15</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>81002</td>\n      <td>27533</td>\n      <td>28</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "   taxable_income  city_population  work_experience  under_grad_NO  \\\n0           68833            50047               10              1   \n1           33700           134075               18              0   \n2           36925           160205               30              1   \n3           50190           193264               15              0   \n4           81002            27533               28              1   \n\n   under_grad_YES  marital_status_Divorced  marital_status_Married  \\\n0               0                        0                       0   \n1               1                        1                       0   \n2               0                        0                       1   \n3               1                        0                       0   \n4               0                        0                       1   \n\n   marital_status_Single  urban_NO  urban_YES  \n0                      1         0          1  \n1                      0         0          1  \n2                      0         0          1  \n3                      1         0          1  \n4                      0         1          0  "
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:10.596339Z",
          "start_time": "2023-08-01T11:06:10.556410Z"
        },
        "trusted": true
      },
      "id": "c8ca7ef4",
      "cell_type": "code",
      "source": "# Converting taxable_income <= 30000 as \"Risky\" and others are \"Good\"\ndf['taxable_category'] = pd.cut(x = df['taxable_income'], bins = [10002,30000,99620], labels = ['Risky', 'Good'])\ndf",
      "execution_count": 18,
      "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>taxable_income</th>\n      <th>city_population</th>\n      <th>work_experience</th>\n      <th>under_grad_NO</th>\n      <th>under_grad_YES</th>\n      <th>marital_status_Divorced</th>\n      <th>marital_status_Married</th>\n      <th>marital_status_Single</th>\n      <th>urban_NO</th>\n      <th>urban_YES</th>\n      <th>taxable_category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>68833</td>\n      <td>50047</td>\n      <td>10</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>33700</td>\n      <td>134075</td>\n      <td>18</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>36925</td>\n      <td>160205</td>\n      <td>30</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>50190</td>\n      <td>193264</td>\n      <td>15</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>81002</td>\n      <td>27533</td>\n      <td>28</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>595</th>\n      <td>76340</td>\n      <td>39492</td>\n      <td>7</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>596</th>\n      <td>69967</td>\n      <td>55369</td>\n      <td>2</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>597</th>\n      <td>47334</td>\n      <td>154058</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>598</th>\n      <td>98592</td>\n      <td>180083</td>\n      <td>17</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>599</th>\n      <td>96519</td>\n      <td>158137</td>\n      <td>16</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Good</td>\n    </tr>\n  </tbody>\n</table>\n<p>600 rows × 11 columns</p>\n</div>",
            "text/plain": "     taxable_income  city_population  work_experience  under_grad_NO  \\\n0             68833            50047               10              1   \n1             33700           134075               18              0   \n2             36925           160205               30              1   \n3             50190           193264               15              0   \n4             81002            27533               28              1   \n..              ...              ...              ...            ...   \n595           76340            39492                7              0   \n596           69967            55369                2              0   \n597           47334           154058                0              1   \n598           98592           180083               17              0   \n599           96519           158137               16              1   \n\n     under_grad_YES  marital_status_Divorced  marital_status_Married  \\\n0                 0                        0                       0   \n1                 1                        1                       0   \n2                 0                        0                       1   \n3                 1                        0                       0   \n4                 0                        0                       1   \n..              ...                      ...                     ...   \n595               1                        1                       0   \n596               1                        1                       0   \n597               0                        1                       0   \n598               1                        0                       1   \n599               0                        1                       0   \n\n     marital_status_Single  urban_NO  urban_YES taxable_category  \n0                        1         0          1             Good  \n1                        0         0          1             Good  \n2                        0         0          1             Good  \n3                        1         0          1             Good  \n4                        0         1          0             Good  \n..                     ...       ...        ...              ...  \n595                      0         0          1             Good  \n596                      0         0          1             Good  \n597                      0         0          1             Good  \n598                      0         1          0             Good  \n599                      0         1          0             Good  \n\n[600 rows x 11 columns]"
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:11.440224Z",
          "start_time": "2023-08-01T11:06:11.388841Z"
        },
        "trusted": true
      },
      "id": "f0e6a6bd",
      "cell_type": "code",
      "source": "sns.countplot(df['taxable_category'])",
      "execution_count": 19,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "C:\\Users\\preet\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n  warnings.warn(\n"
        },
        {
          "data": {
            "text/plain": "<AxesSubplot:xlabel='taxable_category', ylabel='count'>"
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:12.265750Z",
          "start_time": "2023-08-01T11:06:12.238841Z"
        },
        "trusted": true
      },
      "id": "6cfcd48d",
      "cell_type": "code",
      "source": "df['taxable_category'].value_counts()",
      "execution_count": 20,
      "outputs": [
        {
          "data": {
            "text/plain": "Good     476\nRisky    124\nName: taxable_category, dtype: int64"
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:13.092534Z",
          "start_time": "2023-08-01T11:06:13.057360Z"
        },
        "trusted": true
      },
      "id": "5360c728",
      "cell_type": "code",
      "source": "# dropping column taxable_income\ndata = df.drop('taxable_income', axis = 1)\ndata",
      "execution_count": 21,
      "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>city_population</th>\n      <th>work_experience</th>\n      <th>under_grad_NO</th>\n      <th>under_grad_YES</th>\n      <th>marital_status_Divorced</th>\n      <th>marital_status_Married</th>\n      <th>marital_status_Single</th>\n      <th>urban_NO</th>\n      <th>urban_YES</th>\n      <th>taxable_category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>50047</td>\n      <td>10</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>134075</td>\n      <td>18</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>160205</td>\n      <td>30</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>193264</td>\n      <td>15</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>27533</td>\n      <td>28</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>595</th>\n      <td>39492</td>\n      <td>7</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>596</th>\n      <td>55369</td>\n      <td>2</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>597</th>\n      <td>154058</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>598</th>\n      <td>180083</td>\n      <td>17</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Good</td>\n    </tr>\n    <tr>\n      <th>599</th>\n      <td>158137</td>\n      <td>16</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Good</td>\n    </tr>\n  </tbody>\n</table>\n<p>600 rows × 10 columns</p>\n</div>",
            "text/plain": "     city_population  work_experience  under_grad_NO  under_grad_YES  \\\n0              50047               10              1               0   \n1             134075               18              0               1   \n2             160205               30              1               0   \n3             193264               15              0               1   \n4              27533               28              1               0   \n..               ...              ...            ...             ...   \n595            39492                7              0               1   \n596            55369                2              0               1   \n597           154058                0              1               0   \n598           180083               17              0               1   \n599           158137               16              1               0   \n\n     marital_status_Divorced  marital_status_Married  marital_status_Single  \\\n0                          0                       0                      1   \n1                          1                       0                      0   \n2                          0                       1                      0   \n3                          0                       0                      1   \n4                          0                       1                      0   \n..                       ...                     ...                    ...   \n595                        1                       0                      0   \n596                        1                       0                      0   \n597                        1                       0                      0   \n598                        0                       1                      0   \n599                        1                       0                      0   \n\n     urban_NO  urban_YES taxable_category  \n0           0          1             Good  \n1           0          1             Good  \n2           0          1             Good  \n3           0          1             Good  \n4           1          0             Good  \n..        ...        ...              ...  \n595         0          1             Good  \n596         0          1             Good  \n597         0          1             Good  \n598         1          0             Good  \n599         1          0             Good  \n\n[600 rows x 10 columns]"
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:14.513986Z",
          "start_time": "2023-08-01T11:06:13.892544Z"
        },
        "trusted": true
      },
      "id": "a72ab70a",
      "cell_type": "code",
      "source": "# Correlation analysis for data11\ncorr = data.corr()\n#Plot figsize\nfig, ax = plt.subplots(figsize=(10, 6))\n#Generate Heat Map, allow annotations and place floats in map\nsns.heatmap(corr, cmap='magma', annot=True, fmt=\".2f\")\n#Apply xticks\nplt.xticks(range(len(corr.columns)), corr.columns);\n#Apply yticks\nplt.yticks(range(len(corr.columns)), corr.columns)\n#show plot\nplt.show()",
      "execution_count": 22,
      "outputs": [
        {
          "data": {
            "image/png": 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rrrvuKjfepk0bLVq06LoXBQAAUFUqFTs5OTm64447yo3Xr19f2dnZ170oAACAqlKp2ImKitLWrVvLjW/dulWRkZHXvSgAAICqUql7dkaNGqXExERduHBBPXv2lCR9+umnmjRpEp+gDAAAqpVKxc6kSZP03XffKSEhQSUlJZKkmjVravLkyZoyZUqVLhAAAOB6VCp2HA6HXn75Zf35z3/WwYMHFRQUpOjoaDmdzqpeHwAAwHWpVOxcUrt2bXXq1Kmq1gIAAFDlKnWDMgAAwK2C2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDVfBo7ycnJ6tSpk0JCQtSgQQM99NBDSk9P95pjjNG0adMUGRmpoKAgde/eXfv37/eaU1xcrLFjxyo8PFzBwcHq37+/jh8/fjNPBQAAVFM+jZ3U1FQ9+eST2r59uzZu3KjS0lLFx8fr7NmznjkzZszQ7NmztWDBAu3cuVNut1t9+vRRYWGhZ05iYqLWrl2rVatWacuWLTpz5oweeOABlZWV+eK0AABANeIwxhhfL+KSkydPqkGDBkpNTdX9998vY4wiIyOVmJioyZMnS/r+Kk5ERIRefvllPf7448rPz1f9+vW1fPlyDR48WJJ04sQJRUVFad26derbt+81X7egoEChoaHKz8+Xy+W6oecIwE6Z02N9vQSg2mn03N4bevwf+/u7Wt2zk5+fL0mqV6+eJCkjI0M5OTmKj4/3zHE6nerWrZu2bdsmSdq9e7cuXLjgNScyMlIxMTGeOQAA4Pbl7+sFXGKM0fjx49W1a1fFxMRIknJyciRJERERXnMjIiJ07Ngxz5zAwEDVrVu33JxLz79ccXGxiouLPdsFBQVVdh4AAKB6qTZXdsaMGaOvvvpK77zzTrl9DofDa9sYU27sclebk5ycrNDQUM8jKiqq8gsHAADVWrWInbFjx+rDDz/UZ599poYNG3rG3W63JJW7QpObm+u52uN2u1VSUqK8vLwrzrnclClTlJ+f73lkZWVV5ekAAIBqxKexY4zRmDFj9Ne//lV///vf1bRpU6/9TZs2ldvt1saNGz1jJSUlSk1NVefOnSVJHTp0UEBAgNec7Oxs7du3zzPnck6nUy6Xy+sBAADs5NN7dp588kmtXLlSH3zwgUJCQjxXcEJDQxUUFCSHw6HExEQlJSUpOjpa0dHRSkpKUq1atTRkyBDP3JEjR2rChAkKCwtTvXr1NHHiRMXGxqp3796+PD0AAFAN+DR2Fi5cKEnq3r271/iyZcs0fPhwSdKkSZNUVFSkhIQE5eXl6d5779WGDRsUEhLimT9nzhz5+/tr0KBBKioqUq9evZSSkiI/P7+bdSoAAKCaqlafs+MrfM4OgOvF5+wA5fE5OwAAADcBsQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKzm7+sF3E46PP2Wr5cAVDu7Zz7q6yUAsBxXdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFbzaez87//+rx588EFFRkbK4XDo/fff99pvjNG0adMUGRmpoKAgde/eXfv37/eaU1xcrLFjxyo8PFzBwcHq37+/jh8/fhPPAgAAVGc+jZ2zZ8+qXbt2WrBgQYX7Z8yYodmzZ2vBggXauXOn3G63+vTpo8LCQs+cxMRErV27VqtWrdKWLVt05swZPfDAAyorK7tZpwEAAKoxf1++eL9+/dSvX78K9xljNHfuXE2dOlUDBw6UJL355puKiIjQypUr9fjjjys/P19vvPGGli9frt69e0uSVqxYoaioKH3yySfq27fvTTsXAABQPVXbe3YyMjKUk5Oj+Ph4z5jT6VS3bt20bds2SdLu3bt14cIFrzmRkZGKiYnxzAEAALc3n17ZuZqcnBxJUkREhNd4RESEjh075pkTGBiounXrlptz6fkVKS4uVnFxsWe7oKCgqpYNAACqmWp7ZecSh8PhtW2MKTd2uWvNSU5OVmhoqOcRFRVVJWsFAADVT7WNHbfbLUnlrtDk5uZ6rva43W6VlJQoLy/vinMqMmXKFOXn53seWVlZVbx6AABQXVTb2GnatKncbrc2btzoGSspKVFqaqo6d+4sSerQoYMCAgK85mRnZ2vfvn2eORVxOp1yuVxeDwAAYCef3rNz5swZffPNN57tjIwMpaWlqV69emrUqJESExOVlJSk6OhoRUdHKykpSbVq1dKQIUMkSaGhoRo5cqQmTJigsLAw1atXTxMnTlRsbKznr7MAAMDtzaexs2vXLvXo0cOzPX78eEnSsGHDlJKSokmTJqmoqEgJCQnKy8vTvffeqw0bNigkJMTznDlz5sjf31+DBg1SUVGRevXqpZSUFPn5+d308wEAANWPwxhjfL0IXysoKFBoaKjy8/Nv6FtaHZ5+64YdG7hV7Z75qK+XUCUyp8f6eglAtdPoub039Pg/9vd3tb1nBwAAoCoQOwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsJo1sfPaa6+padOmqlmzpjp06KDNmzf7ekkAAKAasCJ2Vq9ercTERE2dOlV79uzRz3/+c/Xr10+ZmZm+XhoAAPAxK2Jn9uzZGjlypEaNGqVWrVpp7ty5ioqK0sKFC329NAAA4GO3fOyUlJRo9+7dio+P9xqPj4/Xtm3bfLQqAABQXfj7egHX69tvv1VZWZkiIiK8xiMiIpSTk1Phc4qLi1VcXOzZzs/PlyQVFBTcuIVKKisuuqHHB25FN/r77mYpPF/m6yUA1c6N/v6+dHxjzFXn3fKxc4nD4fDaNsaUG7skOTlZL7zwQrnxqKioG7I2AFcW+uoffL0EADdKcuhNeZnCwkKFhl75tW752AkPD5efn1+5qzi5ubnlrvZcMmXKFI0fP96zffHiRX333XcKCwu7YiDBHgUFBYqKilJWVpZcLpevlwOgCvH9fXsxxqiwsFCRkZFXnXfLx05gYKA6dOigjRs36le/+pVnfOPGjRowYECFz3E6nXI6nV5jderUuZHLRDXkcrn4YQhYiu/v28fVruhccsvHjiSNHz9ev/vd79SxY0fFxcVp8eLFyszM1B/+wOVxAABud1bEzuDBg3Xq1ClNnz5d2dnZiomJ0bp169S4cWNfLw0AAPiYFbEjSQkJCUpISPD1MnALcDqdev7558u9lQng1sf3NyriMNf6ey0AAIBb2C3/oYIAAABXQ+wAAACrETuwksPh0Pvvv1/lcwHYjZ8HdiJ2cMsZPny4HA6HHA6H/P391ahRIz3xxBPKy8vzzMnOzla/fv18uEoAlZWTk6Nx48apefPmqlmzpiIiItS1a1ctWrRI586d8/XycAuy5q+xcHv5xS9+oWXLlqm0tFQHDhzQiBEjdPr0ab3zzjuSJLfb7eMVAqiMo0ePqkuXLqpTp46SkpIUGxur0tJSff3111q6dKkiIyPVv39/Xy8Ttxiu7OCW5HQ65Xa71bBhQ8XHx2vw4MHasGGDZ/8PL0WXlJRozJgxuuOOO1SzZk01adJEycnJVzz29OnTFRERoa1bt8rlcum9997z2v+3v/1NwcHBKiwsvCHnBtzOEhIS5O/vr127dmnQoEFq1aqVYmNj9etf/1off/yxHnzwQUlSZmamBgwYoNq1a8vlcmnQoEH617/+5XWshQsX6mc/+5kCAwPVsmVLLV++3Gv/4cOHdf/996tmzZpq3bq1Nm7ceNPOEzcXV3Zwyzt69KjWr1+vgICACvfPnz9fH374od599101atRIWVlZysrKKjfPGKPExES9//772rJli6Kjo/Wb3/xGy5Yt03/8x3945l3aDgkJuWHnBNyOTp06pQ0bNigpKUnBwcEVznE4HDLG6KGHHlJwcLBSU1NVWlqqhIQEDR48WJs2bZIkrV27VuPGjdPcuXPVu3dvffTRR3rsscfUsGFD9ejRQxcvXtTAgQMVHh6u7du3q6CgQImJiTfvZHFTETu4JX300UeqXbu2ysrKdP78eUnS7NmzK5ybmZmp6Ohode3aVQ6Ho8JP1i4tLdWjjz6qXbt2aevWrWrYsKEkadSoUercubNOnDihyMhIffvtt/roo4/4P0DgBvjmm29kjFHLli29xsPDwz3f508++aR69+6tr776ShkZGYqKipIkLV++XG3atNHOnTvVqVMnvfLKKxo+fLjnw2bHjx+v7du365VXXlGPHj30ySef6ODBg/rnP//p+X5PSkriXj9L8TYWbkk9evRQWlqa/vGPf2js2LHq27evxo4dW+Hc4cOHKy0tTS1bttQf//hHr7e7Lnnqqaf0+eefa/PmzZ4ffJJ0zz33qE2bNnrrrbckff8DtVGjRrr//vtvzIkBkMPh8NresWOH0tLS1KZNGxUXF+vgwYOKioryhI4ktW7dWnXq1NHBgwclSQcPHlSXLl28jtOlSxev/Y0aNfL6fo+Li7tRpwQfI3ZwSwoODlbz5s3Vtm1bzZ8/X8XFxXrhhRcqnHv33XcrIyND//mf/6mioiINGjTI620pSerTp4/+7//+T//zP/9T7vmjRo3SsmXLJH3/FtZjjz1W7ocxgOvXvHlzORwOHTp0yGu8WbNmat68uYKCgiR9/5ZzRd+Dl49fPueH+yv6xwP4vrYXsQMrPP/883rllVd04sSJCve7XC4NHjxYS5Ys0erVq7VmzRp99913nv39+/fXypUrNWrUKK1atcrruY888ogyMzM1f/587d+/X8OGDbuh5wLcrsLCwtSnTx8tWLBAZ8+eveK81q1bKzMz0+veuwMHDig/P1+tWrWSJLVq1Upbtmzxet62bds8+y8d44c/Mz7//POqPB1UI8QOrNC9e3e1adNGSUlJ5fbNmTNHq1at0qFDh/T111/rv/7rv+R2u1WnTh2veb/61a+0fPlyPfbYY15/gVW3bl0NHDhQTz/9tOLj470uewOoWq+99ppKS0vVsWNHrV69WgcPHlR6erpWrFihQ4cOyc/PT71791bbtm01dOhQffHFF9qxY4ceffRRdevWTR07dpQkPf3000pJSdGiRYt0+PBhzZ49W3/96181ceJESVLv3r3VsmVLPfroo/ryyy+1efNmTZ061ZenjhvJALeYYcOGmQEDBpQbf/vtt01gYKDJzMw0kszatWuNMcYsXrzYtG/f3gQHBxuXy2V69eplvvjiC8/zfjjXGGNWr15tatasadasWeMZ+/TTT40k8+67796o0wLw/5w4ccKMGTPGNG3a1AQEBJjatWube+65x8ycOdOcPXvWGGPMsWPHTP/+/U1wcLAJCQkxDz/8sMnJyfE6zmuvvWaaNWtmAgICTIsWLcxbb73ltT89Pd107drVBAYGmhYtWpj169eX+3kAO/CvngM/wttvv61x48bpxIkTCgwM9PVyAAA/AX96DlzFuXPnlJGRoeTkZD3++OOEDgDcgrhnB7iKGTNmqH379oqIiNCUKVN8vRwAQCXwNhYAALAaV3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQA3Vffu3ZWYmHjVOU2aNNHcuXNvynoA2I/YAW5TPyY6IG3atEkOh0OnT5/29VIAVBKxAwC3kJKSEl8vAbjlEDvAbWj48OFKTU3VvHnz5HA45HA4dOTIEY0cOVJNmzZVUFCQWrZsqXnz5nmec/78ebVp00a///3vPWMZGRkKDQ3VkiVLJEmnTp3Sb3/7WzVs2FC1atVSbGys3nnnnXKvX1paqjFjxqhOnToKCwvTs88+q6t9vml+fr5+//vfq0GDBnK5XOrZs6e+/PLLH32+H374oTp27KiaNWsqPDxcAwcO9OxbsWKFOnbsqJCQELndbg0ZMkS5ubmSpH/+85/q0aOHJKlu3bpyOBwaPny4JMkYoxkzZqhZs2YKCgpSu3bt9N5775V73ejoaAUFBalHjx568803y10lWrNmjdq0aSOn06kmTZpo1qxZXsdo0qSJXnzxRQ0fPlyhoaEaPXq0evbsqTFjxnjNO3XqlJxOp/7+97//6K8LcNvw5b9CCsA3Tp8+beLi4szo0aNNdna2yc7ONufPnzfPPfec2bFjhzl69KhZsWKFqVWrllm9erXneXv27DGBgYFm7dq1prS01HTp0sXrX6A/fvy4mTlzptmzZ485cuSImT9/vvHz8zPbt2/3zOnWrZupXbu2GTdunDl06JDndRYvXuyZ07hxYzNnzhxjjDEXL140Xbp0MQ8++KDZuXOn+frrr82ECRNMWFiYOXXq1DXP9aOPPjJ+fn7mueeeMwcOHDBpaWnmpZde8ux/4403zLp168yRI0fM559/bu677z7Tr18/Y4wxpaWlZs2aNUaSSU9PN9nZ2eb06dPGGGP+9Kc/mbvuususX7/eHDlyxCxbtsw4nU6zadMmY4wxGRkZJiAgwEycONEcOnTIvPPOO+bOO+80kkxeXp4xxphdu3aZGjVqmOnTp5v09HSzbNkyExQUZJYtW+b1tXC5XGbmzJnm8OHD5vDhw+btt982devWNefPn/fMmzdvnmnSpIm5ePHiNb8mwO2G2AFuU926dTPjxo276pyEhATz61//2mtsxowZJjw83IwdO9a43W5z8uTJqx7jl7/8pZkwYYLX67Zq1crrl/LkyZNNq1atPNs/jJ1PP/3UuFwur1/sxhjzs5/9zLz++utXfW1jjImLizNDhw695rxLduzYYSSZwsJCY4wxn332mVegGGPMmTNnTM2aNc22bdu8njty5Ejz29/+1nNOMTExXvunTp3qdawhQ4aYPn36eM15+umnTevWrT3bjRs3Ng899JDXnPPnz5t69ep5hWj79u3NtGnTfvR5ArcT3sYC4LFo0SJ17NhR9evXV+3atbVkyRJlZmZ6zZkwYYJatmypV199VcuWLVN4eLhnX1lZmV566SW1bdtWYWFhql27tjZs2FDuGPfdd58cDodnOy4uTocPH1ZZWVm5Ne3evVtnzpzxHO/SIyMjQ0eOHLnmOaWlpalXr15X3L9nzx4NGDBAjRs3VkhIiLp37y5J5db8QwcOHND58+fVp08frzW99dZbnjWlp6erU6dOXs+75557vLYPHjyoLl26eI116dKl3NeiY8eOXnOcTqceeeQRLV261HOOX375pectNgDe/H29AADVw7vvvqunnnpKs2bNUlxcnEJCQjRz5kz94x//8JqXm5ur9PR0+fn56fDhw/rFL37h2Tdr1izNmTNHc+fOVWxsrIKDg5WYmHhdN9VevHhRd9xxhzZt2lRuX506da75/KCgoCvuO3v2rOLj4xUfH68VK1aofv36yszMVN++fa+65osXL0qSPv74Y915551e+5xOp6Tv7+n5YdBdGrt8+1pzJCk4OLjc2KhRo9S+fXsdP35cS5cuVa9evdS4ceMrrhm4nRE7wG0qMDDQ6+rB5s2b1blzZyUkJHjGKrpyMmLECMXExGj06NEaOXKkevXqpdatW3uOMWDAAD3yyCOSvo+Cw4cPq1WrVl7H2L59e7nt6Oho+fn5lXu9u+++Wzk5OfL391eTJk1+8nm2bdtWn376qR577LFy+w4dOqRvv/1Wf/nLXxQVFSVJ2rVrl9ecwMBASfL6WrVu3VpOp1OZmZnq1q1bha971113ad26dV5jlx+7devW2rJli9fYtm3b1KJFiwq/Fj8UGxurjh07asmSJVq5cqVeffXVq84Hbmu+fRcNgK+MHj3adOrUyWRkZJiTJ0+auXPnGpfLZdavX2/S09PNs88+a1wul2nXrp3nOQsWLDB16tQxmZmZxhhjHnnkEdO+fXtTXFxsjDEmMTHRREVFma1bt5oDBw6YUaNGGZfL5XUT86UblJ966ilz6NAhs3LlShMcHGwWLVrkmXP5Dcpdu3Y17dq1M+vXrzcZGRlm69atZurUqWbnzp3XPM/PPvvM1KhRw3OD8ldffWVefvllY4wxubm5JjAw0Dz99NPmyJEj5oMPPjAtWrQwksyePXuMMd/fdO1wOExKSorJzc313MszdepUExYWZlJSUsw333xjvvjiC7NgwQKTkpJijDHm6NGjJiAgwEyaNMmkp6eb1atXm4YNGxpJnpucd+/e7XWDckpKSoU3KF/6Wlxu8eLFJjAw0NSpU8cUFRVd82sB3K6IHeA2lZ6ebu677z4TFBRkJJlDhw6Z4cOHm9DQUFOnTh3zxBNPmGeeecYTOwcPHjRBQUFm5cqVnmPk5+ebJk2amEmTJhljjDl16pQZMGCAqV27tmnQoIF59tlnzaOPPloudhISEswf/vAH43K5TN26dc0zzzzjdcPy5b/gCwoKzNixY01kZKQJCAgwUVFRZujQoZ7oupY1a9aY9u3bm8DAQBMeHm4GDhzo2bdy5UrTpEkT43Q6TVxcnPnwww+9YscYY6ZPn27cbrdxOBxm2LBhxpjvI2zevHmmZcuWJiAgwNSvX9/07dvXpKamep73wQcfmObNmxun02m6d+9uFi5caCR5hcl7771nWrdubQICAkyjRo3MzJkzvdZ+tdgpLCw0tWrVMgkJCT/q6wDcrhzGXOXDLQAAVeall17SokWLlJWVVSXHy8rKUpMmTbRz507dfffdVXJMwEbcswMAN8hrr72mTp06KSwsTFu3btXMmTPLfRhgZVy4cEHZ2dl65plndN999xE6wDUQOwBuaW3atNGxY8cq3Pf6669r6NChN3lF/7/Dhw/rxRdf1HfffadGjRppwoQJmjJlynUfd+vWrerRo4datGhR7lObAZTH21gAbmnHjh3ThQsXKtwXERGhkJCQm7wiANUNsQMAAKzGJygDAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArPb/ASQLAwiAcBLBAAAAAElFTkSuQmCC\n",
            "text/plain": "<Figure size 640x480 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 1000x600 with 2 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:14.856566Z",
          "start_time": "2023-08-01T11:06:14.837618Z"
        },
        "trusted": true
      },
      "id": "4ca7af6a",
      "cell_type": "code",
      "source": "# Dividing data into independent variables and dependent variable\nX = data.drop('taxable_category', axis = 1)\ny = data['taxable_category']",
      "execution_count": 23,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:16.603093Z",
          "start_time": "2023-08-01T11:06:16.578778Z"
        },
        "trusted": true
      },
      "id": "b7811e84",
      "cell_type": "code",
      "source": "X",
      "execution_count": 24,
      "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>city_population</th>\n      <th>work_experience</th>\n      <th>under_grad_NO</th>\n      <th>under_grad_YES</th>\n      <th>marital_status_Divorced</th>\n      <th>marital_status_Married</th>\n      <th>marital_status_Single</th>\n      <th>urban_NO</th>\n      <th>urban_YES</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>50047</td>\n      <td>10</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>134075</td>\n      <td>18</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>160205</td>\n      <td>30</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>193264</td>\n      <td>15</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>27533</td>\n      <td>28</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>595</th>\n      <td>39492</td>\n      <td>7</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>596</th>\n      <td>55369</td>\n      <td>2</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>597</th>\n      <td>154058</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>598</th>\n      <td>180083</td>\n      <td>17</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>599</th>\n      <td>158137</td>\n      <td>16</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>600 rows × 9 columns</p>\n</div>",
            "text/plain": "     city_population  work_experience  under_grad_NO  under_grad_YES  \\\n0              50047               10              1               0   \n1             134075               18              0               1   \n2             160205               30              1               0   \n3             193264               15              0               1   \n4              27533               28              1               0   \n..               ...              ...            ...             ...   \n595            39492                7              0               1   \n596            55369                2              0               1   \n597           154058                0              1               0   \n598           180083               17              0               1   \n599           158137               16              1               0   \n\n     marital_status_Divorced  marital_status_Married  marital_status_Single  \\\n0                          0                       0                      1   \n1                          1                       0                      0   \n2                          0                       1                      0   \n3                          0                       0                      1   \n4                          0                       1                      0   \n..                       ...                     ...                    ...   \n595                        1                       0                      0   \n596                        1                       0                      0   \n597                        1                       0                      0   \n598                        0                       1                      0   \n599                        1                       0                      0   \n\n     urban_NO  urban_YES  \n0           0          1  \n1           0          1  \n2           0          1  \n3           0          1  \n4           1          0  \n..        ...        ...  \n595         0          1  \n596         0          1  \n597         0          1  \n598         1          0  \n599         1          0  \n\n[600 rows x 9 columns]"
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:17.533734Z",
          "start_time": "2023-08-01T11:06:17.511481Z"
        },
        "trusted": true
      },
      "id": "5b636f91",
      "cell_type": "code",
      "source": "y",
      "execution_count": 25,
      "outputs": [
        {
          "data": {
            "text/plain": "0      Good\n1      Good\n2      Good\n3      Good\n4      Good\n       ... \n595    Good\n596    Good\n597    Good\n598    Good\n599    Good\nName: taxable_category, Length: 600, dtype: category\nCategories (2, object): ['Risky' < 'Good']"
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "a6854c68",
      "cell_type": "markdown",
      "source": "# Splitting data into train and test data"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:19.963925Z",
          "start_time": "2023-08-01T11:06:19.939770Z"
        },
        "trusted": true
      },
      "id": "4397ea7d",
      "cell_type": "code",
      "source": "x_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)",
      "execution_count": 26,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:20.819856Z",
          "start_time": "2023-08-01T11:06:20.799556Z"
        },
        "trusted": true
      },
      "id": "b99b52d9",
      "cell_type": "code",
      "source": "print(x_train.shape)\nprint(x_test.shape)\nprint(y_train.shape)\nprint(y_test.shape)",
      "execution_count": 27,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "(402, 9)\n(198, 9)\n(402,)\n(198,)\n"
        }
      ]
    },
    {
      "metadata": {},
      "id": "1f59a181",
      "cell_type": "markdown",
      "source": "# Random Forest Classification"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:22.489626Z",
          "start_time": "2023-08-01T11:06:22.396076Z"
        },
        "trusted": true
      },
      "id": "2cc207fa",
      "cell_type": "code",
      "source": "from sklearn.model_selection import StratifiedKFold\nfrom sklearn.model_selection import cross_val_score\nfrom sklearn.ensemble import RandomForestClassifier\n\nnum_trees = 100\nmax_features = 'auto'\nmodel = RandomForestClassifier(n_estimators=num_trees, max_features=max_features)",
      "execution_count": 28,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:06:23.420223Z",
          "start_time": "2023-08-01T11:06:23.195654Z"
        },
        "trusted": true
      },
      "id": "c081e9a7",
      "cell_type": "code",
      "source": "# Train the model on training data\nmodel.fit(x_train, y_train)",
      "execution_count": 29,
      "outputs": [
        {
          "data": {
            "text/plain": "RandomForestClassifier()"
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:07:21.109347Z",
          "start_time": "2023-08-01T11:07:19.607065Z"
        },
        "trusted": true
      },
      "id": "8c4a089e",
      "cell_type": "code",
      "source": "kfold=StratifiedKFold(n_splits=10, shuffle=True, random_state=42)\n\nresults = cross_val_score(model, x_train, y_train, cv=kfold)\nprint(results.mean())",
      "execution_count": 31,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "0.7464024390243902\n"
        }
      ]
    },
    {
      "metadata": {},
      "id": "73dfeb6f",
      "cell_type": "markdown",
      "source": "# Bagged Decision Trees for Classification"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:08:20.768055Z",
          "start_time": "2023-08-01T11:08:19.077612Z"
        },
        "trusted": true
      },
      "id": "e811cd59",
      "cell_type": "code",
      "source": "from sklearn.ensemble import BaggingClassifier\n\nkfold=StratifiedKFold(n_splits=10, shuffle=True, random_state=42)\ncart = DecisionTreeClassifier()\nnum_trees = 100\nmodel = BaggingClassifier(base_estimator=cart, n_estimators=num_trees, random_state=42)\nresults = cross_val_score(model, x_train, y_train, cv=kfold)\nprint(results.mean())",
      "execution_count": 33,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "0.7614634146341464\n"
        }
      ]
    },
    {
      "metadata": {},
      "id": "e3ae324b",
      "cell_type": "markdown",
      "source": "# AdaBoost Classification"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-08-01T11:08:41.998610Z",
          "start_time": "2023-08-01T11:08:41.779107Z"
        },
        "trusted": true
      },
      "id": "bafd01b5",
      "cell_type": "code",
      "source": "from sklearn.ensemble import AdaBoostClassifier\n\nkfold=StratifiedKFold(n_splits=10, shuffle=True, random_state=42)\nmodel = AdaBoostClassifier(n_estimators=10, random_state=42)\nresults = cross_val_score(model, x_train, y_train, cv=kfold)\nprint(results.mean())",
      "execution_count": 34,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "0.7837804878048781\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "id": "a68d5394",
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3 (ipykernel)",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.9.13",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "gist": {
      "id": "",
      "data": {
        "description": "!excelR/assignments/Gists/RF - Fraud check.ipynb",
        "public": true
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}