E-mail_class.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "5cd28103",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns \n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5c9e5e2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "body_forms                   7043\n",
       "body_html                    7043\n",
       "body_noCharacters            7043\n",
       "body_noDistinctWords         7043\n",
       "body_noFunctionWords         7043\n",
       "body_noWords                 7043\n",
       "body_richness                7043\n",
       "body_suspension              7043\n",
       "body_verifyYourAccount       7043\n",
       "script_javaScript            7043\n",
       "script_noOnClickEvents       7043\n",
       "script_nonModalJsLoads       7043\n",
       "script_popups                7043\n",
       "script_scripts               7043\n",
       "script_statusChange          7043\n",
       "send_diffSenderReplyTo       7043\n",
       "send_noCharacters            7043\n",
       "send_noWords                 7043\n",
       "send_nonModalSenderDomain    7043\n",
       "subj_bank                    7043\n",
       "subj_debit                   7043\n",
       "subj_forward                 7043\n",
       "subj_noCharacters            7043\n",
       "subj_noWords                 7043\n",
       "subj_reply                   7043\n",
       "subj_richness                7043\n",
       "subj_verify                  7043\n",
       "url_atSymbol                 7043\n",
       "url_ipAddress                7043\n",
       "url_linkText                 7043\n",
       "url_maxNoPeriods             7043\n",
       "url_noDomains                7043\n",
       "url_noExtLinks               7043\n",
       "url_noImgLinks               7043\n",
       "url_noIntLinks               7043\n",
       "url_noIpAddresses            7043\n",
       "url_noLinks                  7043\n",
       "url_noPorts                  7043\n",
       "url_nonModalHereLinks        7043\n",
       "url_ports                    7043\n",
       "label                        7043\n",
       "dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv(\"dataset_HP.csv\")\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "00b3be9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>body_forms</th>\n",
       "      <th>body_html</th>\n",
       "      <th>body_noCharacters</th>\n",
       "      <th>body_noDistinctWords</th>\n",
       "      <th>body_noFunctionWords</th>\n",
       "      <th>body_noWords</th>\n",
       "      <th>body_richness</th>\n",
       "      <th>body_suspension</th>\n",
       "      <th>body_verifyYourAccount</th>\n",
       "      <th>script_javaScript</th>\n",
       "      <th>script_noOnClickEvents</th>\n",
       "      <th>script_nonModalJsLoads</th>\n",
       "      <th>script_popups</th>\n",
       "      <th>script_scripts</th>\n",
       "      <th>script_statusChange</th>\n",
       "      <th>send_diffSenderReplyTo</th>\n",
       "      <th>send_noCharacters</th>\n",
       "      <th>send_noWords</th>\n",
       "      <th>send_nonModalSenderDomain</th>\n",
       "      <th>subj_bank</th>\n",
       "      <th>subj_debit</th>\n",
       "      <th>subj_forward</th>\n",
       "      <th>subj_noCharacters</th>\n",
       "      <th>subj_noWords</th>\n",
       "      <th>subj_reply</th>\n",
       "      <th>subj_richness</th>\n",
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       "      <th>url_atSymbol</th>\n",
       "      <th>url_ipAddress</th>\n",
       "      <th>url_linkText</th>\n",
       "      <th>url_maxNoPeriods</th>\n",
       "      <th>url_noDomains</th>\n",
       "      <th>url_noExtLinks</th>\n",
       "      <th>url_noImgLinks</th>\n",
       "      <th>url_noIntLinks</th>\n",
       "      <th>url_noIpAddresses</th>\n",
       "      <th>url_noLinks</th>\n",
       "      <th>url_noPorts</th>\n",
       "      <th>url_nonModalHereLinks</th>\n",
       "      <th>url_ports</th>\n",
       "      <th>label</th>\n",
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       "      <td>NaN</td>\n",
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       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2030.0</td>\n",
       "      <td>244.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>0.203941</td>\n",
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       "      <td>0.25</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
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       "      <td>815.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>4</th>\n",
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      ],
      "text/plain": [
       "   body_forms  body_html  body_noCharacters  body_noDistinctWords   \n",
       "0         NaN        NaN                NaN                   NaN  \\\n",
       "1         1.0        1.0             2030.0                 244.0   \n",
       "2         NaN        NaN                NaN                   NaN   \n",
       "3         1.0        1.0              815.0                 108.0   \n",
       "4         NaN        NaN                NaN                   NaN   \n",
       "\n",
       "   body_noFunctionWords  body_noWords  body_richness  body_suspension   \n",
       "0                   NaN           NaN            NaN              NaN  \\\n",
       "1                   3.0         414.0       0.203941              1.0   \n",
       "2                   NaN           NaN            NaN              NaN   \n",
       "3                   0.0         156.0       0.191411              1.0   \n",
       "4                   NaN           NaN            NaN              NaN   \n",
       "\n",
       "   body_verifyYourAccount  script_javaScript  script_noOnClickEvents   \n",
       "0                     NaN                NaN                     NaN  \\\n",
       "1                     1.0                1.0                     0.0   \n",
       "2                     NaN                NaN                     NaN   \n",
       "3                     1.0                1.0                     0.0   \n",
       "4                     NaN                NaN                     NaN   \n",
       "\n",
       "   script_nonModalJsLoads  script_popups  script_scripts  script_statusChange   \n",
       "0                     NaN            NaN             NaN                  NaN  \\\n",
       "1                     1.0            1.0             1.0                  1.0   \n",
       "2                     NaN            NaN             NaN                  NaN   \n",
       "3                     1.0            1.0             1.0                  1.0   \n",
       "4                     NaN            NaN             NaN                  NaN   \n",
       "\n",
       "   send_diffSenderReplyTo  send_noCharacters  send_noWords   \n",
       "0                     NaN                NaN           NaN  \\\n",
       "1                     1.0                4.0           1.0   \n",
       "2                     NaN                NaN           NaN   \n",
       "3                     1.0                4.0           1.0   \n",
       "4                     NaN                NaN           NaN   \n",
       "\n",
       "   send_nonModalSenderDomain  subj_bank  subj_debit  subj_forward   \n",
       "0                        NaN        NaN         NaN           NaN  \\\n",
       "1                        1.0        1.0         1.0           1.0   \n",
       "2                        NaN        NaN         NaN           NaN   \n",
       "3                        1.0        1.0         1.0           1.0   \n",
       "4                        NaN        NaN         NaN           NaN   \n",
       "\n",
       "   subj_noCharacters  subj_noWords  subj_reply  subj_richness  subj_verify   \n",
       "0                NaN           NaN         NaN            NaN          NaN  \\\n",
       "1                4.0           1.0         1.0           0.25          1.0   \n",
       "2                NaN           NaN         NaN            NaN          NaN   \n",
       "3                4.0           1.0         1.0           0.25          1.0   \n",
       "4                NaN           NaN         NaN            NaN          NaN   \n",
       "\n",
       "   url_atSymbol  url_ipAddress  url_linkText  url_maxNoPeriods  url_noDomains   \n",
       "0           NaN            NaN           NaN               NaN            NaN  \\\n",
       "1           1.0            1.0           1.0               0.0            1.0   \n",
       "2           NaN            NaN           NaN               NaN            NaN   \n",
       "3           1.0            1.0           1.0               0.0            1.0   \n",
       "4           NaN            NaN           NaN               NaN            NaN   \n",
       "\n",
       "   url_noExtLinks  url_noImgLinks  url_noIntLinks  url_noIpAddresses   \n",
       "0             NaN             NaN             NaN                NaN  \\\n",
       "1             0.0             0.0             0.0                0.0   \n",
       "2             NaN             NaN             NaN                NaN   \n",
       "3             0.0             0.0             0.0                0.0   \n",
       "4             NaN             NaN             NaN                NaN   \n",
       "\n",
       "   url_noLinks  url_noPorts  url_nonModalHereLinks  url_ports label  \n",
       "0          NaN          NaN                    NaN        NaN   NaN  \n",
       "1          0.0          0.0                    0.0        1.0     H  \n",
       "2          NaN          NaN                    NaN        NaN   NaN  \n",
       "3          0.0          0.0                    0.0        1.0     H  \n",
       "4          NaN          NaN                    NaN        NaN   NaN  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b1c47b4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_x=df.dropna()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "7324940d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "body_forms                   0\n",
       "body_html                    0\n",
       "body_noCharacters            0\n",
       "body_noDistinctWords         0\n",
       "body_noFunctionWords         0\n",
       "body_noWords                 0\n",
       "body_richness                0\n",
       "body_suspension              0\n",
       "body_verifyYourAccount       0\n",
       "script_javaScript            0\n",
       "script_noOnClickEvents       0\n",
       "script_nonModalJsLoads       0\n",
       "script_popups                0\n",
       "script_scripts               0\n",
       "script_statusChange          0\n",
       "send_diffSenderReplyTo       0\n",
       "send_noCharacters            0\n",
       "send_noWords                 0\n",
       "send_nonModalSenderDomain    0\n",
       "subj_bank                    0\n",
       "subj_debit                   0\n",
       "subj_forward                 0\n",
       "subj_noCharacters            0\n",
       "subj_noWords                 0\n",
       "subj_reply                   0\n",
       "subj_richness                0\n",
       "subj_verify                  0\n",
       "url_atSymbol                 0\n",
       "url_ipAddress                0\n",
       "url_linkText                 0\n",
       "url_maxNoPeriods             0\n",
       "url_noDomains                0\n",
       "url_noExtLinks               0\n",
       "url_noImgLinks               0\n",
       "url_noIntLinks               0\n",
       "url_noIpAddresses            0\n",
       "url_noLinks                  0\n",
       "url_noPorts                  0\n",
       "url_nonModalHereLinks        0\n",
       "url_ports                    0\n",
       "label                        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_x.isnull().sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "d855c0c1",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th>body_noFunctionWords</th>\n",
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       "      <th>subj_forward</th>\n",
       "      <th>subj_noCharacters</th>\n",
       "      <th>subj_noWords</th>\n",
       "      <th>subj_reply</th>\n",
       "      <th>subj_richness</th>\n",
       "      <th>subj_verify</th>\n",
       "      <th>url_atSymbol</th>\n",
       "      <th>url_ipAddress</th>\n",
       "      <th>url_linkText</th>\n",
       "      <th>url_maxNoPeriods</th>\n",
       "      <th>url_noDomains</th>\n",
       "      <th>url_noExtLinks</th>\n",
       "      <th>url_noImgLinks</th>\n",
       "      <th>url_noIntLinks</th>\n",
       "      <th>url_noIpAddresses</th>\n",
       "      <th>url_noLinks</th>\n",
       "      <th>url_noPorts</th>\n",
       "      <th>url_nonModalHereLinks</th>\n",
       "      <th>url_ports</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2030.0</td>\n",
       "      <td>244.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>0.203941</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>815.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>0.191411</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.225352</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3249.0</td>\n",
       "      <td>362.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>0.226223</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>236.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.207627</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   body_forms  body_html  body_noCharacters  body_noDistinctWords   \n",
       "0         1.0        1.0             2030.0                 244.0  \\\n",
       "1         1.0        1.0              815.0                 108.0   \n",
       "2         1.0        1.0               71.0                  15.0   \n",
       "3         1.0        1.0             3249.0                 362.0   \n",
       "4         1.0        1.0              236.0                  39.0   \n",
       "\n",
       "   body_noFunctionWords  body_noWords  body_richness  body_suspension   \n",
       "0                   3.0         414.0       0.203941              1.0  \\\n",
       "1                   0.0         156.0       0.191411              1.0   \n",
       "2                   0.0          16.0       0.225352              1.0   \n",
       "3                  10.0         735.0       0.226223              1.0   \n",
       "4                   0.0          49.0       0.207627              1.0   \n",
       "\n",
       "   body_verifyYourAccount  script_javaScript  script_noOnClickEvents   \n",
       "0                     1.0                1.0                     0.0  \\\n",
       "1                     1.0                1.0                     0.0   \n",
       "2                     1.0                1.0                     0.0   \n",
       "3                     1.0                1.0                     0.0   \n",
       "4                     1.0                1.0                     0.0   \n",
       "\n",
       "   script_nonModalJsLoads  script_popups  script_scripts  script_statusChange   \n",
       "0                     1.0            1.0             1.0                  1.0  \\\n",
       "1                     1.0            1.0             1.0                  1.0   \n",
       "2                     1.0            1.0             1.0                  1.0   \n",
       "3                     1.0            1.0             1.0                  1.0   \n",
       "4                     1.0            1.0             1.0                  1.0   \n",
       "\n",
       "   send_diffSenderReplyTo  send_noCharacters  send_noWords   \n",
       "0                     1.0                4.0           1.0  \\\n",
       "1                     1.0                4.0           1.0   \n",
       "2                     1.0                4.0           1.0   \n",
       "3                     1.0                4.0           1.0   \n",
       "4                     1.0                4.0           1.0   \n",
       "\n",
       "   send_nonModalSenderDomain  subj_bank  subj_debit  subj_forward   \n",
       "0                        1.0        1.0         1.0           1.0  \\\n",
       "1                        1.0        1.0         1.0           1.0   \n",
       "2                        1.0        1.0         1.0           1.0   \n",
       "3                        1.0        1.0         1.0           1.0   \n",
       "4                        1.0        1.0         1.0           1.0   \n",
       "\n",
       "   subj_noCharacters  subj_noWords  subj_reply  subj_richness  subj_verify   \n",
       "0                4.0           1.0         1.0           0.25          1.0  \\\n",
       "1                4.0           1.0         1.0           0.25          1.0   \n",
       "2                4.0           1.0         1.0           0.25          1.0   \n",
       "3                4.0           1.0         1.0           0.25          1.0   \n",
       "4                4.0           1.0         1.0           0.25          1.0   \n",
       "\n",
       "   url_atSymbol  url_ipAddress  url_linkText  url_maxNoPeriods  url_noDomains   \n",
       "0           1.0            1.0           1.0               0.0            1.0  \\\n",
       "1           1.0            1.0           1.0               0.0            1.0   \n",
       "2           1.0            1.0           1.0               0.0            1.0   \n",
       "3           1.0            1.0           1.0               0.0            1.0   \n",
       "4           1.0            1.0           1.0               0.0            1.0   \n",
       "\n",
       "   url_noExtLinks  url_noImgLinks  url_noIntLinks  url_noIpAddresses   \n",
       "0             0.0             0.0             0.0                0.0  \\\n",
       "1             0.0             0.0             0.0                0.0   \n",
       "2             0.0             0.0             0.0                0.0   \n",
       "3             0.0             0.0             0.0                0.0   \n",
       "4             0.0             0.0             0.0                0.0   \n",
       "\n",
       "   url_noLinks  url_noPorts  url_nonModalHereLinks  url_ports label  \n",
       "0          0.0          0.0                    0.0        1.0     H  \n",
       "1          0.0          0.0                    0.0        1.0     H  \n",
       "2          0.0          0.0                    0.0        1.0     H  \n",
       "3          0.0          0.0                    0.0        1.0     H  \n",
       "4          0.0          0.0                    0.0        1.0     H  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "key=np.arange(0,len(df_x.index))\n",
    "\n",
    "df_x.set_index(keys=key,inplace=True)\n",
    "df_x.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "dce65748",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 7043 entries, 0 to 7042\n",
      "Data columns (total 41 columns):\n",
      " #   Column                     Non-Null Count  Dtype  \n",
      "---  ------                     --------------  -----  \n",
      " 0   body_forms                 7043 non-null   float64\n",
      " 1   body_html                  7043 non-null   float64\n",
      " 2   body_noCharacters          7043 non-null   float64\n",
      " 3   body_noDistinctWords       7043 non-null   float64\n",
      " 4   body_noFunctionWords       7043 non-null   float64\n",
      " 5   body_noWords               7043 non-null   float64\n",
      " 6   body_richness              7043 non-null   float64\n",
      " 7   body_suspension            7043 non-null   float64\n",
      " 8   body_verifyYourAccount     7043 non-null   float64\n",
      " 9   script_javaScript          7043 non-null   float64\n",
      " 10  script_noOnClickEvents     7043 non-null   float64\n",
      " 11  script_nonModalJsLoads     7043 non-null   float64\n",
      " 12  script_popups              7043 non-null   float64\n",
      " 13  script_scripts             7043 non-null   float64\n",
      " 14  script_statusChange        7043 non-null   float64\n",
      " 15  send_diffSenderReplyTo     7043 non-null   float64\n",
      " 16  send_noCharacters          7043 non-null   float64\n",
      " 17  send_noWords               7043 non-null   float64\n",
      " 18  send_nonModalSenderDomain  7043 non-null   float64\n",
      " 19  subj_bank                  7043 non-null   float64\n",
      " 20  subj_debit                 7043 non-null   float64\n",
      " 21  subj_forward               7043 non-null   float64\n",
      " 22  subj_noCharacters          7043 non-null   float64\n",
      " 23  subj_noWords               7043 non-null   float64\n",
      " 24  subj_reply                 7043 non-null   float64\n",
      " 25  subj_richness              7043 non-null   float64\n",
      " 26  subj_verify                7043 non-null   float64\n",
      " 27  url_atSymbol               7043 non-null   float64\n",
      " 28  url_ipAddress              7043 non-null   float64\n",
      " 29  url_linkText               7043 non-null   float64\n",
      " 30  url_maxNoPeriods           7043 non-null   float64\n",
      " 31  url_noDomains              7043 non-null   float64\n",
      " 32  url_noExtLinks             7043 non-null   float64\n",
      " 33  url_noImgLinks             7043 non-null   float64\n",
      " 34  url_noIntLinks             7043 non-null   float64\n",
      " 35  url_noIpAddresses          7043 non-null   float64\n",
      " 36  url_noLinks                7043 non-null   float64\n",
      " 37  url_noPorts                7043 non-null   float64\n",
      " 38  url_nonModalHereLinks      7043 non-null   float64\n",
      " 39  url_ports                  7043 non-null   float64\n",
      " 40  label                      7043 non-null   object \n",
      "dtypes: float64(40), object(1)\n",
      "memory usage: 2.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df_x.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "27b4f543",
   "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>body_forms</th>\n",
       "      <th>body_html</th>\n",
       "      <th>body_noCharacters</th>\n",
       "      <th>body_noDistinctWords</th>\n",
       "      <th>body_noFunctionWords</th>\n",
       "      <th>body_noWords</th>\n",
       "      <th>body_richness</th>\n",
       "      <th>body_suspension</th>\n",
       "      <th>body_verifyYourAccount</th>\n",
       "      <th>script_javaScript</th>\n",
       "      <th>script_noOnClickEvents</th>\n",
       "      <th>script_nonModalJsLoads</th>\n",
       "      <th>script_popups</th>\n",
       "      <th>script_scripts</th>\n",
       "      <th>script_statusChange</th>\n",
       "      <th>send_diffSenderReplyTo</th>\n",
       "      <th>send_noCharacters</th>\n",
       "      <th>send_noWords</th>\n",
       "      <th>send_nonModalSenderDomain</th>\n",
       "      <th>subj_bank</th>\n",
       "      <th>subj_debit</th>\n",
       "      <th>subj_forward</th>\n",
       "      <th>subj_noCharacters</th>\n",
       "      <th>subj_noWords</th>\n",
       "      <th>subj_reply</th>\n",
       "      <th>subj_richness</th>\n",
       "      <th>subj_verify</th>\n",
       "      <th>url_atSymbol</th>\n",
       "      <th>url_ipAddress</th>\n",
       "      <th>url_linkText</th>\n",
       "      <th>url_maxNoPeriods</th>\n",
       "      <th>url_noDomains</th>\n",
       "      <th>url_noExtLinks</th>\n",
       "      <th>url_noImgLinks</th>\n",
       "      <th>url_noIntLinks</th>\n",
       "      <th>url_noIpAddresses</th>\n",
       "      <th>url_noLinks</th>\n",
       "      <th>url_noPorts</th>\n",
       "      <th>url_nonModalHereLinks</th>\n",
       "      <th>url_ports</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.00</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.0</td>\n",
       "      <td>7043.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5360.392304</td>\n",
       "      <td>206.885276</td>\n",
       "      <td>7.457476</td>\n",
       "      <td>368.510436</td>\n",
       "      <td>0.138294</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.038336</td>\n",
       "      <td>2.713758</td>\n",
       "      <td>4.835581</td>\n",
       "      <td>2.061337</td>\n",
       "      <td>1.009939</td>\n",
       "      <td>0.123385</td>\n",
       "      <td>5.845520</td>\n",
       "      <td>0.045861</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25294.902321</td>\n",
       "      <td>398.633551</td>\n",
       "      <td>11.888422</td>\n",
       "      <td>827.945281</td>\n",
       "      <td>0.054021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.389140</td>\n",
       "      <td>2.721081</td>\n",
       "      <td>11.121158</td>\n",
       "      <td>6.387842</td>\n",
       "      <td>5.879763</td>\n",
       "      <td>0.328902</td>\n",
       "      <td>13.804329</td>\n",
       "      <td>0.342524</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-71.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>348.000000</td>\n",
       "      <td>48.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>0.097890</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1617.000000</td>\n",
       "      <td>143.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>214.000000</td>\n",
       "      <td>0.141935</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4102.500000</td>\n",
       "      <td>244.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>427.000000</td>\n",
       "      <td>0.181762</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>747699.000000</td>\n",
       "      <td>12139.000000</td>\n",
       "      <td>189.000000</td>\n",
       "      <td>28297.000000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>204.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>175.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>268.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       body_forms  body_html  body_noCharacters  body_noDistinctWords   \n",
       "count      7043.0     7043.0        7043.000000           7043.000000  \\\n",
       "mean          1.0        1.0        5360.392304            206.885276   \n",
       "std           0.0        0.0       25294.902321            398.633551   \n",
       "min           1.0        1.0           1.000000              0.000000   \n",
       "25%           1.0        1.0         348.000000             48.500000   \n",
       "50%           1.0        1.0        1617.000000            143.000000   \n",
       "75%           1.0        1.0        4102.500000            244.000000   \n",
       "max           1.0        1.0      747699.000000          12139.000000   \n",
       "\n",
       "       body_noFunctionWords  body_noWords  body_richness  body_suspension   \n",
       "count           7043.000000   7043.000000    7043.000000           7043.0  \\\n",
       "mean               7.457476    368.510436       0.138294              1.0   \n",
       "std               11.888422    827.945281       0.054021              0.0   \n",
       "min                0.000000      0.000000       0.000000              1.0   \n",
       "25%                0.000000     58.000000       0.097890              1.0   \n",
       "50%                2.000000    214.000000       0.141935              1.0   \n",
       "75%               11.000000    427.000000       0.181762              1.0   \n",
       "max              189.000000  28297.000000       0.400000              1.0   \n",
       "\n",
       "       body_verifyYourAccount  script_javaScript  script_noOnClickEvents   \n",
       "count                  7043.0             7043.0                  7043.0  \\\n",
       "mean                      1.0                1.0                     0.0   \n",
       "std                       0.0                0.0                     0.0   \n",
       "min                       1.0                1.0                     0.0   \n",
       "25%                       1.0                1.0                     0.0   \n",
       "50%                       1.0                1.0                     0.0   \n",
       "75%                       1.0                1.0                     0.0   \n",
       "max                       1.0                1.0                     0.0   \n",
       "\n",
       "       script_nonModalJsLoads  script_popups  script_scripts   \n",
       "count                  7043.0         7043.0          7043.0  \\\n",
       "mean                      1.0            1.0             1.0   \n",
       "std                       0.0            0.0             0.0   \n",
       "min                       1.0            1.0             1.0   \n",
       "25%                       1.0            1.0             1.0   \n",
       "50%                       1.0            1.0             1.0   \n",
       "75%                       1.0            1.0             1.0   \n",
       "max                       1.0            1.0             1.0   \n",
       "\n",
       "       script_statusChange  send_diffSenderReplyTo  send_noCharacters   \n",
       "count               7043.0                  7043.0             7043.0  \\\n",
       "mean                   1.0                     1.0                4.0   \n",
       "std                    0.0                     0.0                0.0   \n",
       "min                    1.0                     1.0                4.0   \n",
       "25%                    1.0                     1.0                4.0   \n",
       "50%                    1.0                     1.0                4.0   \n",
       "75%                    1.0                     1.0                4.0   \n",
       "max                    1.0                     1.0                4.0   \n",
       "\n",
       "       send_noWords  send_nonModalSenderDomain  subj_bank  subj_debit   \n",
       "count        7043.0                     7043.0     7043.0      7043.0  \\\n",
       "mean            1.0                        1.0        1.0         1.0   \n",
       "std             0.0                        0.0        0.0         0.0   \n",
       "min             1.0                        1.0        1.0         1.0   \n",
       "25%             1.0                        1.0        1.0         1.0   \n",
       "50%             1.0                        1.0        1.0         1.0   \n",
       "75%             1.0                        1.0        1.0         1.0   \n",
       "max             1.0                        1.0        1.0         1.0   \n",
       "\n",
       "       subj_forward  subj_noCharacters  subj_noWords  subj_reply   \n",
       "count        7043.0             7043.0        7043.0      7043.0  \\\n",
       "mean            1.0                4.0           1.0         1.0   \n",
       "std             0.0                0.0           0.0         0.0   \n",
       "min             1.0                4.0           1.0         1.0   \n",
       "25%             1.0                4.0           1.0         1.0   \n",
       "50%             1.0                4.0           1.0         1.0   \n",
       "75%             1.0                4.0           1.0         1.0   \n",
       "max             1.0                4.0           1.0         1.0   \n",
       "\n",
       "       subj_richness  subj_verify  url_atSymbol  url_ipAddress  url_linkText   \n",
       "count        7043.00       7043.0        7043.0         7043.0        7043.0  \\\n",
       "mean            0.25          1.0           1.0            1.0           1.0   \n",
       "std             0.00          0.0           0.0            0.0           0.0   \n",
       "min             0.25          1.0           1.0            1.0           1.0   \n",
       "25%             0.25          1.0           1.0            1.0           1.0   \n",
       "50%             0.25          1.0           1.0            1.0           1.0   \n",
       "75%             0.25          1.0           1.0            1.0           1.0   \n",
       "max             0.25          1.0           1.0            1.0           1.0   \n",
       "\n",
       "       url_maxNoPeriods  url_noDomains  url_noExtLinks  url_noImgLinks   \n",
       "count       7043.000000    7043.000000     7043.000000     7043.000000  \\\n",
       "mean           2.038336       2.713758        4.835581        2.061337   \n",
       "std            2.389140       2.721081       11.121158        6.387842   \n",
       "min            0.000000       1.000000        0.000000        0.000000   \n",
       "25%            0.000000       1.000000        0.000000        0.000000   \n",
       "50%            1.000000       2.000000        1.000000        0.000000   \n",
       "75%            4.000000       4.000000        4.000000        1.000000   \n",
       "max           30.000000      40.000000      204.000000       82.000000   \n",
       "\n",
       "       url_noIntLinks  url_noIpAddresses  url_noLinks  url_noPorts   \n",
       "count     7043.000000        7043.000000  7043.000000  7043.000000  \\\n",
       "mean         1.009939           0.123385     5.845520     0.045861   \n",
       "std          5.879763           0.328902    13.804329     0.342524   \n",
       "min        -71.000000           0.000000     0.000000     0.000000   \n",
       "25%          0.000000           0.000000     0.000000     0.000000   \n",
       "50%          0.000000           0.000000     1.000000     0.000000   \n",
       "75%          1.000000           0.000000     6.000000     0.000000   \n",
       "max        175.000000           1.000000   268.000000    11.000000   \n",
       "\n",
       "       url_nonModalHereLinks  url_ports  \n",
       "count                 7043.0     7043.0  \n",
       "mean                     0.0        1.0  \n",
       "std                      0.0        0.0  \n",
       "min                      0.0        1.0  \n",
       "25%                      0.0        1.0  \n",
       "50%                      0.0        1.0  \n",
       "75%                      0.0        1.0  \n",
       "max                      0.0        1.0  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_x.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "49dc507b",
   "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>body_forms</th>\n",
       "      <th>body_html</th>\n",
       "      <th>body_noCharacters</th>\n",
       "      <th>body_noDistinctWords</th>\n",
       "      <th>body_noFunctionWords</th>\n",
       "      <th>body_noWords</th>\n",
       "      <th>body_richness</th>\n",
       "      <th>body_suspension</th>\n",
       "      <th>body_verifyYourAccount</th>\n",
       "      <th>script_javaScript</th>\n",
       "      <th>script_noOnClickEvents</th>\n",
       "      <th>script_nonModalJsLoads</th>\n",
       "      <th>script_popups</th>\n",
       "      <th>script_scripts</th>\n",
       "      <th>script_statusChange</th>\n",
       "      <th>send_diffSenderReplyTo</th>\n",
       "      <th>send_noCharacters</th>\n",
       "      <th>send_noWords</th>\n",
       "      <th>send_nonModalSenderDomain</th>\n",
       "      <th>subj_bank</th>\n",
       "      <th>subj_debit</th>\n",
       "      <th>subj_forward</th>\n",
       "      <th>subj_noCharacters</th>\n",
       "      <th>subj_noWords</th>\n",
       "      <th>subj_reply</th>\n",
       "      <th>subj_richness</th>\n",
       "      <th>subj_verify</th>\n",
       "      <th>url_atSymbol</th>\n",
       "      <th>url_ipAddress</th>\n",
       "      <th>url_linkText</th>\n",
       "      <th>url_maxNoPeriods</th>\n",
       "      <th>url_noDomains</th>\n",
       "      <th>url_noExtLinks</th>\n",
       "      <th>url_noImgLinks</th>\n",
       "      <th>url_noIntLinks</th>\n",
       "      <th>url_noIpAddresses</th>\n",
       "      <th>url_noLinks</th>\n",
       "      <th>url_noPorts</th>\n",
       "      <th>url_nonModalHereLinks</th>\n",
       "      <th>url_ports</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2030.0</td>\n",
       "      <td>244.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>0.203941</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>815.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>0.191411</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.225352</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3249.0</td>\n",
       "      <td>362.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>0.226223</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>236.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.207627</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   body_forms  body_html  body_noCharacters  body_noDistinctWords   \n",
       "0         1.0        1.0             2030.0                 244.0  \\\n",
       "1         1.0        1.0              815.0                 108.0   \n",
       "2         1.0        1.0               71.0                  15.0   \n",
       "3         1.0        1.0             3249.0                 362.0   \n",
       "4         1.0        1.0              236.0                  39.0   \n",
       "\n",
       "   body_noFunctionWords  body_noWords  body_richness  body_suspension   \n",
       "0                   3.0         414.0       0.203941              1.0  \\\n",
       "1                   0.0         156.0       0.191411              1.0   \n",
       "2                   0.0          16.0       0.225352              1.0   \n",
       "3                  10.0         735.0       0.226223              1.0   \n",
       "4                   0.0          49.0       0.207627              1.0   \n",
       "\n",
       "   body_verifyYourAccount  script_javaScript  script_noOnClickEvents   \n",
       "0                     1.0                1.0                     0.0  \\\n",
       "1                     1.0                1.0                     0.0   \n",
       "2                     1.0                1.0                     0.0   \n",
       "3                     1.0                1.0                     0.0   \n",
       "4                     1.0                1.0                     0.0   \n",
       "\n",
       "   script_nonModalJsLoads  script_popups  script_scripts  script_statusChange   \n",
       "0                     1.0            1.0             1.0                  1.0  \\\n",
       "1                     1.0            1.0             1.0                  1.0   \n",
       "2                     1.0            1.0             1.0                  1.0   \n",
       "3                     1.0            1.0             1.0                  1.0   \n",
       "4                     1.0            1.0             1.0                  1.0   \n",
       "\n",
       "   send_diffSenderReplyTo  send_noCharacters  send_noWords   \n",
       "0                     1.0                4.0           1.0  \\\n",
       "1                     1.0                4.0           1.0   \n",
       "2                     1.0                4.0           1.0   \n",
       "3                     1.0                4.0           1.0   \n",
       "4                     1.0                4.0           1.0   \n",
       "\n",
       "   send_nonModalSenderDomain  subj_bank  subj_debit  subj_forward   \n",
       "0                        1.0        1.0         1.0           1.0  \\\n",
       "1                        1.0        1.0         1.0           1.0   \n",
       "2                        1.0        1.0         1.0           1.0   \n",
       "3                        1.0        1.0         1.0           1.0   \n",
       "4                        1.0        1.0         1.0           1.0   \n",
       "\n",
       "   subj_noCharacters  subj_noWords  subj_reply  subj_richness  subj_verify   \n",
       "0                4.0           1.0         1.0           0.25          1.0  \\\n",
       "1                4.0           1.0         1.0           0.25          1.0   \n",
       "2                4.0           1.0         1.0           0.25          1.0   \n",
       "3                4.0           1.0         1.0           0.25          1.0   \n",
       "4                4.0           1.0         1.0           0.25          1.0   \n",
       "\n",
       "   url_atSymbol  url_ipAddress  url_linkText  url_maxNoPeriods  url_noDomains   \n",
       "0           1.0            1.0           1.0               0.0            1.0  \\\n",
       "1           1.0            1.0           1.0               0.0            1.0   \n",
       "2           1.0            1.0           1.0               0.0            1.0   \n",
       "3           1.0            1.0           1.0               0.0            1.0   \n",
       "4           1.0            1.0           1.0               0.0            1.0   \n",
       "\n",
       "   url_noExtLinks  url_noImgLinks  url_noIntLinks  url_noIpAddresses   \n",
       "0             0.0             0.0             0.0                0.0  \\\n",
       "1             0.0             0.0             0.0                0.0   \n",
       "2             0.0             0.0             0.0                0.0   \n",
       "3             0.0             0.0             0.0                0.0   \n",
       "4             0.0             0.0             0.0                0.0   \n",
       "\n",
       "   url_noLinks  url_noPorts  url_nonModalHereLinks  url_ports  label  \n",
       "0          0.0          0.0                    0.0        1.0      0  \n",
       "1          0.0          0.0                    0.0        1.0      0  \n",
       "2          0.0          0.0                    0.0        1.0      0  \n",
       "3          0.0          0.0                    0.0        1.0      0  \n",
       "4          0.0          0.0                    0.0        1.0      0  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "le=LabelEncoder()\n",
    "df_x[\"label\"]=le.fit_transform(df_x[\"label\"])\n",
    "df_x.head()\n",
    "\n",
    "# for ham zero and for phish its 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ead0e9c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "label\n",
       "0    3561\n",
       "1    3482\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_x[\"label\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "36064db1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='label', ylabel='count'>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"label\",data=df_x)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a60a21f3",
   "metadata": {},
   "source": [
    "# Splitting Train & Test Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "9134bc2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(7043, 40)\n",
      "(7043,)\n"
     ]
    }
   ],
   "source": [
    "x=df_x.iloc[:,:-1]\n",
    "y=df_x.iloc[:,-1]\n",
    "\n",
    "print(x.shape)\n",
    "print(y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "441eaa9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape of x_train is (5634, 40)\n",
      "shape of x_test is (1409, 40)\n",
      "shape of y_train is (5634,)\n",
      "shape of y_test is (1409,)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "x_train,x_test,y_train,y_test=train_test_split(x,y,random_state=42,test_size=0.2)\n",
    "print(\"shape of x_train is\",x_train.shape)\n",
    "print(\"shape of x_test is\",x_test.shape)\n",
    "print(\"shape of y_train is\",y_train.shape)\n",
    "print(\"shape of y_test is\",y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d82da7a5",
   "metadata": {},
   "source": [
    "# Try with k-fold cross validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "2f5b9cae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--> Decision tree Classifier accuracy using k fold is  [0.95812633 0.99219304 0.98296664 0.97727273 0.93821023] \n",
      "Average of all is 0.9697537945996517\n",
      "\n",
      "\n",
      "--> Random forest Classifier accuracy using k fold is  [0.96593329 0.99716111 0.99148332 0.98366477 0.98295455] \n",
      "Average of all is 0.9842394065746177\n",
      "\n",
      "\n",
      "--> static vector Classifier accuracy using k fold is  [0.73669269 0.92122072 0.75301632 0.68963068 0.51846591] \n",
      "Average of all is 0.7238052656623009\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import KFold,cross_val_score\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "\n",
    "model_tr=DecisionTreeClassifier()\n",
    "model_rd=RandomForestClassifier()\n",
    "model_sv=SVC()\n",
    "\n",
    "kf=KFold(n_splits=5)\n",
    "acc_tr=cross_val_score(model_tr,x,y,cv=kf)\n",
    "print(\"--> Decision tree Classifier accuracy using k fold is \",acc_tr ,\"\\nAverage of all is\",acc_tr.mean())\n",
    "print(\"\\n\")\n",
    "acc_rd=cross_val_score(model_rd,x,y,cv=kf)\n",
    "print(\"--> Random forest Classifier accuracy using k fold is \",acc_rd ,\"\\nAverage of all is\",acc_rd.mean())\n",
    "print(\"\\n\")\n",
    "acc_sv=cross_val_score(model_sv,x,y,cv=kf)\n",
    "print(\"--> static vector Classifier accuracy using k fold is \",acc_sv ,\"\\nAverage of all is\",acc_sv.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57d4ff47",
   "metadata": {},
   "source": [
    "# Trained model with hyperparameter tuning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49470fc1",
   "metadata": {},
   "source": [
    "1.started with Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "1a4d7ed7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy using LogisticRegression  0.9673527324343506\n",
      "\n",
      "\n",
      "classification report using Logisticregression is \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.96      0.98      0.97       734\n",
      "           1       0.98      0.95      0.97       675\n",
      "\n",
      "    accuracy                           0.97      1409\n",
      "   macro avg       0.97      0.97      0.97      1409\n",
      "weighted avg       0.97      0.97      0.97      1409\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report,accuracy_score\n",
    "\n",
    "model_lr= LogisticRegression()\n",
    "model_lr.fit(x_train,y_train)\n",
    "pred_y=model_lr.predict(x_test)\n",
    "print(\"Accuracy using LogisticRegression \",accuracy_score(y_test,pred_y))\n",
    "print(\"\\n\")\n",
    "print(\"classification report using Logistic regression is \\n\",classification_report(y_test,pred_y))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c0338a1",
   "metadata": {},
   "source": [
    "2.Using Random forest classfier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "4c6846fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy using Random Forest Classifier  0.9957416607523066\n",
      "\n",
      "\n",
      "classification report using Random Forest Classifier is \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      1.00      1.00       734\n",
      "           1       1.00      0.99      1.00       675\n",
      "\n",
      "    accuracy                           1.00      1409\n",
      "   macro avg       1.00      1.00      1.00      1409\n",
      "weighted avg       1.00      1.00      1.00      1409\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "model_rf= RandomForestClassifier(n_estimators=1000)\n",
    "model_rf.fit(x_train,y_train)\n",
    "pred_y=model_rf.predict(x_test)\n",
    "print(\"Accuracy using Random Forest Classifier \",accuracy_score(y_test,pred_y))\n",
    "print(\"\\n\")\n",
    "print(\"classification report using Random Forest Classifier is \\n\",classification_report(y_test,pred_y))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00a8f646",
   "metadata": {},
   "source": [
    "3.Using Decision Tree Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "eedbe855",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy using Decision Tree Classifier  0.9886444286728177\n",
      "\n",
      "\n",
      "classification report using Decision Tree Classifier is \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.99      0.99       734\n",
      "           1       0.99      0.99      0.99       675\n",
      "\n",
      "    accuracy                           0.99      1409\n",
      "   macro avg       0.99      0.99      0.99      1409\n",
      "weighted avg       0.99      0.99      0.99      1409\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "model_tr= DecisionTreeClassifier()\n",
    "model_tr.fit(x_train,y_train)\n",
    "pred_y=model_tr.predict(x_test)\n",
    "print(\"Accuracy using Decision Tree Classifier \",accuracy_score(y_test,pred_y))\n",
    "print(\"\\n\")\n",
    "print(\"classification report using Decision Tree Classifier is \\n\",classification_report(y_test,pred_y))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc36fa16",
   "metadata": {},
   "source": [
    "4.Using K-Neighbors Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "926219f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy using K Neighbors Classifier  0.957416607523066\n",
      "\n",
      "\n",
      "classification report using K Neighbors Classifier is \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.97      0.95      0.96       734\n",
      "           1       0.95      0.97      0.96       675\n",
      "\n",
      "    accuracy                           0.96      1409\n",
      "   macro avg       0.96      0.96      0.96      1409\n",
      "weighted avg       0.96      0.96      0.96      1409\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "model_kn= KNeighborsClassifier()\n",
    "model_kn.fit(x_train,y_train)\n",
    "pred_y=model_kn.predict(x_test)\n",
    "print(\"Accuracy using K Neighbors Classifier \",accuracy_score(y_test,pred_y))\n",
    "print(\"\\n\")\n",
    "print(\"classification report using K Neighbors Classifier is \\n\",classification_report(y_test,pred_y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "48614a92",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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