Fraud Data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ab614c24",
   "metadata": {},
   "source": [
    "## 1. Importing libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "25f6e424",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
    "from io import StringIO\n",
    "from sklearn.tree import export_graphviz \n",
    "import pydotplus\n",
    "import matplotlib.image as mpimg "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b236a220",
   "metadata": {},
   "source": [
    "## 2. Importing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "292ae117",
   "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>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",
       "    <tr>\n",
       "      <th>...</th>\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>YES</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>76340</td>\n",
       "      <td>39492</td>\n",
       "      <td>7</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>YES</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>69967</td>\n",
       "      <td>55369</td>\n",
       "      <td>2</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>NO</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>47334</td>\n",
       "      <td>154058</td>\n",
       "      <td>0</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>YES</td>\n",
       "      <td>Married</td>\n",
       "      <td>98592</td>\n",
       "      <td>180083</td>\n",
       "      <td>17</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>NO</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>96519</td>\n",
       "      <td>158137</td>\n",
       "      <td>16</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>600 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Undergrad Marital.Status  Taxable.Income  City.Population  \\\n",
       "0          NO         Single           68833            50047   \n",
       "1         YES       Divorced           33700           134075   \n",
       "2          NO        Married           36925           160205   \n",
       "3         YES         Single           50190           193264   \n",
       "4          NO        Married           81002            27533   \n",
       "..        ...            ...             ...              ...   \n",
       "595       YES       Divorced           76340            39492   \n",
       "596       YES       Divorced           69967            55369   \n",
       "597        NO       Divorced           47334           154058   \n",
       "598       YES        Married           98592           180083   \n",
       "599        NO       Divorced           96519           158137   \n",
       "\n",
       "     Work.Experience Urban  \n",
       "0                 10   YES  \n",
       "1                 18   YES  \n",
       "2                 30   YES  \n",
       "3                 15   YES  \n",
       "4                 28    NO  \n",
       "..               ...   ...  \n",
       "595                7   YES  \n",
       "596                2   YES  \n",
       "597                0   YES  \n",
       "598               17    NO  \n",
       "599               16    NO  \n",
       "\n",
       "[600 rows x 6 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df= pd.read_csv('Fraud_check (1).csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18877bf6",
   "metadata": {},
   "source": [
    "## 3. Data Understanding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3fdad568",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of observations:600\n",
      "No. of features:6\n"
     ]
    }
   ],
   "source": [
    "print('No. of observations:{}\\nNo. of features:{}'.format(df.shape[0],df.shape[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6583df52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Undergrad          0\n",
       "Marital.Status     0\n",
       "Taxable.Income     0\n",
       "City.Population    0\n",
       "Work.Experience    0\n",
       "Urban              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8d97b58c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Undergrad          object\n",
       "Marital.Status     object\n",
       "Taxable.Income      int64\n",
       "City.Population     int64\n",
       "Work.Experience     int64\n",
       "Urban              object\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1148d40e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>count</th>\n",
       "      <td>600</td>\n",
       "      <td>600</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>YES</td>\n",
       "      <td>Single</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>312</td>\n",
       "      <td>217</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55208.375000</td>\n",
       "      <td>108747.368333</td>\n",
       "      <td>15.558333</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26204.827597</td>\n",
       "      <td>49850.075134</td>\n",
       "      <td>8.842147</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10003.000000</td>\n",
       "      <td>25779.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32871.500000</td>\n",
       "      <td>66966.750000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55074.500000</td>\n",
       "      <td>106493.500000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78611.750000</td>\n",
       "      <td>150114.250000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99619.000000</td>\n",
       "      <td>199778.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Undergrad Marital.Status  Taxable.Income  City.Population  \\\n",
       "count        600            600      600.000000       600.000000   \n",
       "unique         2              3             NaN              NaN   \n",
       "top          YES         Single             NaN              NaN   \n",
       "freq         312            217             NaN              NaN   \n",
       "mean         NaN            NaN    55208.375000    108747.368333   \n",
       "std          NaN            NaN    26204.827597     49850.075134   \n",
       "min          NaN            NaN    10003.000000     25779.000000   \n",
       "25%          NaN            NaN    32871.500000     66966.750000   \n",
       "50%          NaN            NaN    55074.500000    106493.500000   \n",
       "75%          NaN            NaN    78611.750000    150114.250000   \n",
       "max          NaN            NaN    99619.000000    199778.000000   \n",
       "\n",
       "        Work.Experience Urban  \n",
       "count        600.000000   600  \n",
       "unique              NaN     2  \n",
       "top                 NaN   YES  \n",
       "freq                NaN   302  \n",
       "mean          15.558333   NaN  \n",
       "std            8.842147   NaN  \n",
       "min            0.000000   NaN  \n",
       "25%            8.000000   NaN  \n",
       "50%           15.000000   NaN  \n",
       "75%           24.000000   NaN  \n",
       "max           30.000000   NaN  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6a2d4a1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Taxable.Income'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(df['Taxable.Income'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a01d597",
   "metadata": {},
   "source": [
    "#### >>>There are no outliers in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "752ac010",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skew: 0.030014788906377175\n",
      "Kurtosis: -1.1997824607083138\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,5))\n",
    "print(\"Skew: {}\".format(df['Taxable.Income'].skew()))\n",
    "print(\"Kurtosis: {}\".format(df['Taxable.Income'].kurtosis()))\n",
    "ax = sns.kdeplot(df['Taxable.Income'],shade=True,color='g')\n",
    "plt.xticks([i for i in range(10000,100000,10000)])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1c6f1d6",
   "metadata": {},
   "source": [
    "#### >>>The data is Skewed on the right\n",
    "#### >>>The data has negative Kurtosis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cbec50dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "obj_colum= df.select_dtypes(include='object').columns.tolist()\n",
    "plt.figure(figsize=(16,10))\n",
    "for i,col in enumerate(obj_colum,1):\n",
    "    plt.subplot(2,2,i)\n",
    "    sns.countplot(data=df,y=col)\n",
    "    plt.subplot(2,2,i+1)\n",
    "    df[col].value_counts(normalize=True).plot.bar()\n",
    "    plt.ylabel(col)\n",
    "    plt.xlabel('% distribution per category')\n",
    "plt.tight_layout()\n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "aa01f91e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x2880 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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>skewness</th>\n",
       "      <td>0.030015</td>\n",
       "      <td>0.125009</td>\n",
       "      <td>0.018529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kurtosis</th>\n",
       "      <td>-1.199782</td>\n",
       "      <td>-1.120154</td>\n",
       "      <td>-1.167524</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Taxable.Income  City.Population  Work.Experience\n",
       "skewness        0.030015         0.125009         0.018529\n",
       "kurtosis       -1.199782        -1.120154        -1.167524"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_columns= df.select_dtypes(exclude='object').columns.tolist()\n",
    "plt.figure(figsize=(18,40))\n",
    "for i,col in enumerate(num_columns,1):\n",
    "    plt.subplot(8,4,i)\n",
    "    sns.kdeplot(df[col],color='g',shade=True)\n",
    "    plt.subplot(8,4,i+10)\n",
    "    df[col].plot.box()\n",
    "plt.tight_layout() \n",
    "plt.show()\n",
    "num_data = df[num_columns]\n",
    "pd.DataFrame(data=[num_data.skew(),num_data.kurtosis()],index=['skewness','kurtosis'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d7b141cd",
   "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>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  \\\n",
       "0        NO         Single           68833            50047               10   \n",
       "1       YES       Divorced           33700           134075               18   \n",
       "2        NO        Married           36925           160205               30   \n",
       "3       YES         Single           50190           193264               15   \n",
       "4        NO        Married           81002            27533               28   \n",
       "\n",
       "  Urban  \n",
       "0   YES  \n",
       "1   YES  \n",
       "2   YES  \n",
       "3   YES  \n",
       "4    NO  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1= df.copy()\n",
    "df1.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fbff49a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1= pd.get_dummies(df1, columns = ['Undergrad','Marital.Status','Urban'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "eddd644a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr= df1.corr()\n",
    "plt.figure(figsize=(10,10))\n",
    "sns.heatmap(corr,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f0cf825",
   "metadata": {},
   "source": [
    "### Since the target variable is continious, we create a class of taxable_income <= 30000 as \"Risky\" and others are \"Good\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ea1708f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['Taxable.Income']=pd.cut(df1['Taxable.Income'],bins=[0,30000,100000],labels=['risky','good'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "97c6ea80",
   "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>Taxable.Income</th>\n",
       "      <th>City.Population</th>\n",
       "      <th>Work.Experience</th>\n",
       "      <th>Undergrad_NO</th>\n",
       "      <th>Undergrad_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>good</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>good</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>good</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>good</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>good</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  Undergrad_NO  \\\n",
       "0           good            50047               10             1   \n",
       "1           good           134075               18             0   \n",
       "2           good           160205               30             1   \n",
       "3           good           193264               15             0   \n",
       "4           good            27533               28             1   \n",
       "\n",
       "   Undergrad_YES  Marital.Status_Divorced  Marital.Status_Married  \\\n",
       "0              0                        0                       0   \n",
       "1              1                        1                       0   \n",
       "2              0                        0                       1   \n",
       "3              1                        0                       0   \n",
       "4              0                        0                       1   \n",
       "\n",
       "   Marital.Status_Single  Urban_NO  Urban_YES  \n",
       "0                      1         0          1  \n",
       "1                      0         0          1  \n",
       "2                      0         0          1  \n",
       "3                      1         0          1  \n",
       "4                      0         1          0  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61866d4c",
   "metadata": {},
   "source": [
    "## 4. Model Building|| Model Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "42995569",
   "metadata": {},
   "outputs": [],
   "source": [
    "x= df1.iloc[:,1:10]\n",
    "y= df1.iloc[:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9778cd5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test = train_test_split(x,y,test_size= 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "83c8ac8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "good     379\n",
       "risky    101\n",
       "Name: Taxable.Income, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bd15235d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7104166666666667"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model= RandomForestClassifier(n_jobs=4,n_estimators = 150, oob_score =True,criterion ='entropy') \n",
    "model.fit(x_train,y_train)\n",
    "model.oob_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9fd6ebf7",
   "metadata": {},
   "outputs": [],
   "source": [
    "pred_train= model.predict(x_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "833d634a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_train,pred_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c891fee7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[379,   0],\n",
       "       [  0, 101]], dtype=int64)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(y_train,pred_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "05e7cc05",
   "metadata": {},
   "outputs": [],
   "source": [
    "pred_test= model.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "25be548e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7833333333333333"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test,pred_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "dcf8040c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[91,  6],\n",
       "       [20,  3]], dtype=int64)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(y_test,pred_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e99e0b43",
   "metadata": {},
   "outputs": [],
   "source": [
    "cols= list(df1.columns)\n",
    "predictors= cols[1:10]\n",
    "target= cols[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c8f18ad0",
   "metadata": {},
   "outputs": [],
   "source": [
    "tree1= model.estimators_[20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4de75580",
   "metadata": {},
   "outputs": [],
   "source": [
    "dot_data= StringIO()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "1db3babd",
   "metadata": {},
   "outputs": [],
   "source": [
    "export_graphviz(tree1, out_file = dot_data, feature_names =predictors, class_names = target, filled =True,rounded=True,impurity =False,proportion=False,precision =2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "effc7f70",
   "metadata": {},
   "outputs": [],
   "source": [
    "graph= pydotplus.graph_from_dot_data(dot_data.getvalue())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "e9e0048a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graph.write_png('fraud_full.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "682bb2c9",
   "metadata": {},
   "source": [
    "## 5. Conclusion\n",
    "Since the accuracy of the Training set is 100% we test the accurancy on the test data which is 72%\n",
    "As seen in the confusion matrix of Test data 94 instances are predicted correctly and 26 instances are not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "007d53de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(max_depth=3, n_estimators=10)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf_small= RandomForestClassifier(n_estimators=10, max_depth = 3)\n",
    "rf_small.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "c080776e",
   "metadata": {},
   "outputs": [],
   "source": [
    "tree_small= rf_small.estimators_[5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3cadfbab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "export_graphviz(tree_small, out_file = dot_data, feature_names= predictors, rounded = True, precision = 1)\n",
    "graph_small= pydotplus.graph_from_dot_data(dot_data.getvalue())\n",
    "graph.write_png('fraud_small.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "5122c364",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2226b176430>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,12))\n",
    "img= mpimg.imread('fraud_small.png') \n",
    "plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "1bfd9e7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.51016212, 0.35781012, 0.01864175, 0.01861754, 0.01775233,\n",
       "       0.02033438, 0.02017018, 0.01818161, 0.01832996])"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.feature_importances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2798e0ef",
   "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>feature</th>\n",
       "      <th>importance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>City.Population</td>\n",
       "      <td>0.510162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Work.Experience</td>\n",
       "      <td>0.357810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Marital.Status_Married</td>\n",
       "      <td>0.020334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Marital.Status_Single</td>\n",
       "      <td>0.020170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Undergrad_NO</td>\n",
       "      <td>0.018642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Undergrad_YES</td>\n",
       "      <td>0.018618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Urban_YES</td>\n",
       "      <td>0.018330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Urban_NO</td>\n",
       "      <td>0.018182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Marital.Status_Divorced</td>\n",
       "      <td>0.017752</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   feature  importance\n",
       "0          City.Population    0.510162\n",
       "1          Work.Experience    0.357810\n",
       "5   Marital.Status_Married    0.020334\n",
       "6    Marital.Status_Single    0.020170\n",
       "2             Undergrad_NO    0.018642\n",
       "3            Undergrad_YES    0.018618\n",
       "8                Urban_YES    0.018330\n",
       "7                 Urban_NO    0.018182\n",
       "4  Marital.Status_Divorced    0.017752"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fi= pd.DataFrame({'feature': list(x_train.columns),\n",
    "                   'importance': model.feature_importances_}).\\\n",
    "                    sort_values('importance', ascending = False)\n",
    "fi"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7dcd711",
   "metadata": {},
   "source": [
    "#### >>>As seen in the above table city population is most important feature\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8fcc1024",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}