Bank Loan classification.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### here we are using all types of algorithms and will compare the model accuracy "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Age</th>\n",
       "      <th>Experience</th>\n",
       "      <th>Income</th>\n",
       "      <th>ZIP Code</th>\n",
       "      <th>Family</th>\n",
       "      <th>CCAvg</th>\n",
       "      <th>Education</th>\n",
       "      <th>Mortgage</th>\n",
       "      <th>Personal Loan</th>\n",
       "      <th>Securities Account</th>\n",
       "      <th>CD Account</th>\n",
       "      <th>Online</th>\n",
       "      <th>CreditCard</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>49</td>\n",
       "      <td>91107</td>\n",
       "      <td>4</td>\n",
       "      <td>1.6</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>45</td>\n",
       "      <td>19</td>\n",
       "      <td>34</td>\n",
       "      <td>90089</td>\n",
       "      <td>3</td>\n",
       "      <td>1.5</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>94720</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>9</td>\n",
       "      <td>100</td>\n",
       "      <td>94112</td>\n",
       "      <td>1</td>\n",
       "      <td>2.7</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>35</td>\n",
       "      <td>8</td>\n",
       "      <td>45</td>\n",
       "      <td>91330</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>37</td>\n",
       "      <td>13</td>\n",
       "      <td>29</td>\n",
       "      <td>92121</td>\n",
       "      <td>4</td>\n",
       "      <td>0.4</td>\n",
       "      <td>2</td>\n",
       "      <td>155</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>53</td>\n",
       "      <td>27</td>\n",
       "      <td>72</td>\n",
       "      <td>91711</td>\n",
       "      <td>2</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>50</td>\n",
       "      <td>24</td>\n",
       "      <td>22</td>\n",
       "      <td>93943</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>35</td>\n",
       "      <td>10</td>\n",
       "      <td>81</td>\n",
       "      <td>90089</td>\n",
       "      <td>3</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2</td>\n",
       "      <td>104</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>34</td>\n",
       "      <td>9</td>\n",
       "      <td>180</td>\n",
       "      <td>93023</td>\n",
       "      <td>1</td>\n",
       "      <td>8.9</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID  Age  Experience  Income  ZIP Code  Family  CCAvg  Education  Mortgage  \\\n",
       "0   1   25           1      49     91107       4    1.6          1         0   \n",
       "1   2   45          19      34     90089       3    1.5          1         0   \n",
       "2   3   39          15      11     94720       1    1.0          1         0   \n",
       "3   4   35           9     100     94112       1    2.7          2         0   \n",
       "4   5   35           8      45     91330       4    1.0          2         0   \n",
       "5   6   37          13      29     92121       4    0.4          2       155   \n",
       "6   7   53          27      72     91711       2    1.5          2         0   \n",
       "7   8   50          24      22     93943       1    0.3          3         0   \n",
       "8   9   35          10      81     90089       3    0.6          2       104   \n",
       "9  10   34           9     180     93023       1    8.9          3         0   \n",
       "\n",
       "   Personal Loan  Securities Account  CD Account  Online  CreditCard  \n",
       "0              0                   1           0       0           0  \n",
       "1              0                   1           0       0           0  \n",
       "2              0                   0           0       0           0  \n",
       "3              0                   0           0       0           0  \n",
       "4              0                   0           0       0           1  \n",
       "5              0                   0           0       1           0  \n",
       "6              0                   0           0       1           0  \n",
       "7              0                   0           0       0           1  \n",
       "8              0                   0           0       1           0  \n",
       "9              1                   0           0       0           0  "
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "df=pd.read_csv('C:\\\\GitWorkspace\\\\UniversalBank.csv')\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                      int64\n",
       "Age                     int64\n",
       "Experience              int64\n",
       "Income                  int64\n",
       "ZIP Code                int64\n",
       "Family                  int64\n",
       "CCAvg                 float64\n",
       "Education               int64\n",
       "Mortgage                int64\n",
       "Personal Loan           int64\n",
       "Securities Account      int64\n",
       "CD Account              int64\n",
       "Online                  int64\n",
       "CreditCard              int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### first we will do some EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "#droping zip and ids\n",
    "df.drop([\"ID\",\"ZIP Code\"],axis=1,inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "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>Age</th>\n",
       "      <th>Experience</th>\n",
       "      <th>Income</th>\n",
       "      <th>Family</th>\n",
       "      <th>CCAvg</th>\n",
       "      <th>Education</th>\n",
       "      <th>Mortgage</th>\n",
       "      <th>Personal Loan</th>\n",
       "      <th>Securities Account</th>\n",
       "      <th>CD Account</th>\n",
       "      <th>Online</th>\n",
       "      <th>CreditCard</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>49</td>\n",
       "      <td>4</td>\n",
       "      <td>1.6</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>45</td>\n",
       "      <td>19</td>\n",
       "      <td>34</td>\n",
       "      <td>3</td>\n",
       "      <td>1.5</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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>35</td>\n",
       "      <td>9</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>2.7</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35</td>\n",
       "      <td>8</td>\n",
       "      <td>45</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age  Experience  Income  Family  CCAvg  Education  Mortgage  Personal Loan  \\\n",
       "0   25           1      49       4    1.6          1         0              0   \n",
       "1   45          19      34       3    1.5          1         0              0   \n",
       "2   39          15      11       1    1.0          1         0              0   \n",
       "3   35           9     100       1    2.7          2         0              0   \n",
       "4   35           8      45       4    1.0          2         0              0   \n",
       "\n",
       "   Securities Account  CD Account  Online  CreditCard  \n",
       "0                   1           0       0           0  \n",
       "1                   1           0       0           0  \n",
       "2                   0           0       0           0  \n",
       "3                   0           0       0           0  \n",
       "4                   0           0       0           1  "
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x10eaa390>"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 798x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df,vars=['Age','Experience','Income','CreditCard'],hue='Personal Loan')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### in the above i have taken few rows to see the data with respect to Loan eligible or not\n",
    "### below we are extaracting dependent and independent columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [],
   "source": [
    "#we are changing the categorical data  \n",
    "\n",
    "categorical_data = [\"Family\",\"Education\",\"Personal Loan\",\"Securities Account\",\"CD Account\",\"Online\",\"CreditCard\"]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.get_dummies(df,columns=categorical_data,drop_first=True,)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Age</th>\n",
       "      <th>Experience</th>\n",
       "      <th>Income</th>\n",
       "      <th>ZIP Code</th>\n",
       "      <th>CCAvg</th>\n",
       "      <th>Mortgage</th>\n",
       "      <th>Family_2</th>\n",
       "      <th>Family_3</th>\n",
       "      <th>Family_4</th>\n",
       "      <th>Education_2</th>\n",
       "      <th>Education_3</th>\n",
       "      <th>Personal Loan_1</th>\n",
       "      <th>Securities Account_1</th>\n",
       "      <th>CD Account_1</th>\n",
       "      <th>Online_1</th>\n",
       "      <th>CreditCard_1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>49</td>\n",
       "      <td>91107</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>45</td>\n",
       "      <td>19</td>\n",
       "      <td>34</td>\n",
       "      <td>90089</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>94720</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>9</td>\n",
       "      <td>100</td>\n",
       "      <td>94112</td>\n",
       "      <td>2.7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>35</td>\n",
       "      <td>8</td>\n",
       "      <td>45</td>\n",
       "      <td>91330</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID  Age  Experience  Income  ZIP Code  CCAvg  Mortgage  Family_2  Family_3  \\\n",
       "0   1   25           1      49     91107    1.6         0         0         0   \n",
       "1   2   45          19      34     90089    1.5         0         0         1   \n",
       "2   3   39          15      11     94720    1.0         0         0         0   \n",
       "3   4   35           9     100     94112    2.7         0         0         0   \n",
       "4   5   35           8      45     91330    1.0         0         0         0   \n",
       "\n",
       "   Family_4  Education_2  Education_3  Personal Loan_1  Securities Account_1  \\\n",
       "0         1            0            0                0                     1   \n",
       "1         0            0            0                0                     1   \n",
       "2         0            0            0                0                     0   \n",
       "3         0            1            0                0                     0   \n",
       "4         1            1            0                0                     0   \n",
       "\n",
       "   CD Account_1  Online_1  CreditCard_1  \n",
       "0             0         0             0  \n",
       "1             0         0             0  \n",
       "2             0         0             0  \n",
       "3             0         0             0  \n",
       "4             0         0             1  "
      ]
     },
     "execution_count": 282,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### getting the Dependent calumn and independent column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_inde=df.copy().drop(\"Personal Loan_1\",axis=1)\n",
    "Y_inde=df[\"Personal Loan_1\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [],
   "source": [
    "#X_inde=df.loc[:,:'Income']\n",
    "#X_inde['CreditCard']=df['CreditCard_1']\n",
    "#Y_inde=df['Personal Loan_1']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### now we do train and test split data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train,x_test,y_train,y_test=train_test_split(X_inde,Y_inde,random_state=12,test_size=0.20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "### logistic regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pavankumar.gopidesu\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9"
      ]
     },
     "execution_count": 286,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "lr=LogisticRegression()\n",
    "lr.fit(X_train,y_train)\n",
    "y_validation_pred=lr.predict(x_test)\n",
    "accuracy_score(y_validation_pred,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### as we see above the accuracy is 90% we can do some scale down with mean =0 and standard deviation=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "std_sc=StandardScaler()\n",
    "\n",
    "X_train_std=std_sc.fit_transform(X_train)\n",
    "x_test_std=std_sc.fit_transform(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pavankumar.gopidesu\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.955"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc_lr=LogisticRegression()\n",
    "sc_lr.fit(X_train_std,y_train)\n",
    "y_pred_std=sc_lr.predict(x_test_std)\n",
    "accuracy_score(y_pred_std,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### as we see here after scaling the accuracy is increased to 95%"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GaussianNB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9"
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.naive_bayes import GaussianNB\n",
    "\n",
    "gnb=GaussianNB()\n",
    "\n",
    "gnb.fit(X_train,y_train)\n",
    "\n",
    "y_gnb_predict=gnb.predict(x_test)\n",
    "\n",
    "accuracy_score(y_validation_pred,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### K nearest neighbour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.898"
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "knn_classifier = KNeighborsClassifier(algorithm='brute',weights='distance')\n",
    "knn_classifier.fit(X_train,y_train)\n",
    "y_pred=knn_classifier.predict(x_test)\n",
    "\n",
    "accuracy_score(y_pred,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pavankumar.gopidesu\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:193: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.908"
      ]
     },
     "execution_count": 290,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "\n",
    "svc_cl=SVC()\n",
    "svc_cl.fit(X_train,y_train)\n",
    "\n",
    "y_predict=svc_cl.predict(x_test)\n",
    "\n",
    "accuracy_score(y_predict,y_test)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pavankumar.gopidesu\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\forest.py:245: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n",
      "  \"10 in version 0.20 to 100 in 0.22.\", FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.974"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "rnd_cl=RandomForestClassifier()\n",
    "\n",
    "rnd_cl.fit(X_train,y_train)\n",
    "y_pred=rnd_cl.predict(x_test)\n",
    "\n",
    "accuracy_score(y_pred,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### now we can do some hyper parameter tuining to increase the accuracy\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#n_estimater is the number of trees for the randomforest\n",
    "#max_depth is the how much deep tree is\n",
    "#min_sample_leaf  minimum samples required in each leaf node for the root node to split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "\n",
    "\n",
    "rnf_frst=RandomForestClassifier(n_jobs=-1, max_features='sqrt', class_weight='balanced_subsample')\n",
    "\n",
    "param_grid = {\"n_estimators\" : [10, 25, 50, 75, 100],\n",
    "           \"max_depth\" : [10, 12, 14, 16, 18, 20],\n",
    "           \"min_samples_leaf\" : [5, 10, 15, 20]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight='balanced_subsample',\n",
       "                       criterion='gini', max_depth=14, max_features='sqrt',\n",
       "                       max_leaf_nodes=None, min_impurity_decrease=0.0,\n",
       "                       min_impurity_split=None, min_samples_leaf=5,\n",
       "                       min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "                       n_estimators=50, n_jobs=-1, oob_score=False,\n",
       "                       random_state=None, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_randrfc = RandomizedSearchCV(estimator = rnf_frst, param_distributions = param_grid, cv = 3, n_iter=10)\n",
    "grid_randrfc.fit(X_train, y_train)\n",
    "grid_randrfc.best_estimator_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### as we see above it gives us to choose the best parameters for tuining"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.98875"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred=grid_randrfc.predict(X_train)\n",
    "accuracy_score(y_pred,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### as we see above the accuracy is increased to 98.8%"
   ]
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}