Machine_Learning/Web Page Phishing Detection/web_page_phishing_detection.ipynb

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   "source": [
    "# Importing all the required libraries\n",
    "\n",
    "import numpy as np \n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt # to plot the figures \n",
    "from sklearn.model_selection import train_test_split # to split the data into train and test\n",
    "\n",
    "# Importing the classification models\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "# Importing the metrics\n",
    "from sklearn.metrics import classification_report,roc_curve, roc_auc_score, auc, confusion_matrix\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
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   "outputs": [],
   "source": [
    "data = pd.read_csv(\"dataset_phishing.csv\") # loading the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>length_url</th>\n",
       "      <th>length_hostname</th>\n",
       "      <th>ip</th>\n",
       "      <th>nb_dots</th>\n",
       "      <th>nb_hyphens</th>\n",
       "      <th>nb_at</th>\n",
       "      <th>nb_qm</th>\n",
       "      <th>nb_and</th>\n",
       "      <th>nb_or</th>\n",
       "      <th>...</th>\n",
       "      <th>domain_in_title</th>\n",
       "      <th>domain_with_copyright</th>\n",
       "      <th>whois_registered_domain</th>\n",
       "      <th>domain_registration_length</th>\n",
       "      <th>domain_age</th>\n",
       "      <th>web_traffic</th>\n",
       "      <th>dns_record</th>\n",
       "      <th>google_index</th>\n",
       "      <th>page_rank</th>\n",
       "      <th>status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>http://www.crestonwood.com/router.php</td>\n",
       "      <td>37</td>\n",
       "      <td>19</td>\n",
       "      <td>0</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>legitimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>http://shadetreetechnology.com/V4/validation/a...</td>\n",
       "      <td>77</td>\n",
       "      <td>23</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>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>77</td>\n",
       "      <td>5767</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>phishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://support-appleld.com.secureupdate.duila...</td>\n",
       "      <td>126</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>4004</td>\n",
       "      <td>5828815</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>phishing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>http://rgipt.ac.in</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>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>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>62</td>\n",
       "      <td>-1</td>\n",
       "      <td>107721</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>legitimate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>http://www.iracing.com/tracks/gateway-motorspo...</td>\n",
       "      <td>55</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>224</td>\n",
       "      <td>8175</td>\n",
       "      <td>8725</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>legitimate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 89 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url  length_url  \\\n",
       "0              http://www.crestonwood.com/router.php          37   \n",
       "1  http://shadetreetechnology.com/V4/validation/a...          77   \n",
       "2  https://support-appleld.com.secureupdate.duila...         126   \n",
       "3                                 http://rgipt.ac.in          18   \n",
       "4  http://www.iracing.com/tracks/gateway-motorspo...          55   \n",
       "\n",
       "   length_hostname  ip  nb_dots  nb_hyphens  nb_at  nb_qm  nb_and  nb_or  ...  \\\n",
       "0               19   0        3           0      0      0       0      0  ...   \n",
       "1               23   1        1           0      0      0       0      0  ...   \n",
       "2               50   1        4           1      0      1       2      0  ...   \n",
       "3               11   0        2           0      0      0       0      0  ...   \n",
       "4               15   0        2           2      0      0       0      0  ...   \n",
       "\n",
       "   domain_in_title  domain_with_copyright  whois_registered_domain  \\\n",
       "0                0                      1                        0   \n",
       "1                1                      0                        0   \n",
       "2                1                      0                        0   \n",
       "3                1                      0                        0   \n",
       "4                0                      1                        0   \n",
       "\n",
       "   domain_registration_length  domain_age  web_traffic  dns_record  \\\n",
       "0                          45          -1            0           1   \n",
       "1                          77        5767            0           0   \n",
       "2                          14        4004      5828815           0   \n",
       "3                          62          -1       107721           0   \n",
       "4                         224        8175         8725           0   \n",
       "\n",
       "   google_index  page_rank      status  \n",
       "0             1          4  legitimate  \n",
       "1             1          2    phishing  \n",
       "2             1          0    phishing  \n",
       "3             0          3  legitimate  \n",
       "4             0          6  legitimate  \n",
       "\n",
       "[5 rows x 89 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head() # to see the top 5 rows of the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11430, 89)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape # (the length of the dataset, number of columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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    "execution": {
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "url                0.0\n",
      "length_url         0.0\n",
      "length_hostname    0.0\n",
      "ip                 0.0\n",
      "nb_dots            0.0\n",
      "                  ... \n",
      "web_traffic        0.0\n",
      "dns_record         0.0\n",
      "google_index       0.0\n",
      "page_rank          0.0\n",
      "status             0.0\n",
      "Length: 89, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(data.isna().sum()/len(data)) # percentage of missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
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    {
     "data": {
      "text/plain": [
       "11429"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data.url.unique()) # to check that every webiste is unique"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
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    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>length_url</th>\n",
       "      <th>length_hostname</th>\n",
       "      <th>ip</th>\n",
       "      <th>nb_dots</th>\n",
       "      <th>nb_hyphens</th>\n",
       "      <th>nb_at</th>\n",
       "      <th>nb_qm</th>\n",
       "      <th>nb_and</th>\n",
       "      <th>nb_or</th>\n",
       "      <th>nb_eq</th>\n",
       "      <th>...</th>\n",
       "      <th>empty_title</th>\n",
       "      <th>domain_in_title</th>\n",
       "      <th>domain_with_copyright</th>\n",
       "      <th>whois_registered_domain</th>\n",
       "      <th>domain_registration_length</th>\n",
       "      <th>domain_age</th>\n",
       "      <th>web_traffic</th>\n",
       "      <th>dns_record</th>\n",
       "      <th>google_index</th>\n",
       "      <th>page_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.0</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>1.143000e+04</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "      <td>11430.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>61.126684</td>\n",
       "      <td>21.090289</td>\n",
       "      <td>0.150569</td>\n",
       "      <td>2.480752</td>\n",
       "      <td>0.997550</td>\n",
       "      <td>0.022222</td>\n",
       "      <td>0.141207</td>\n",
       "      <td>0.162292</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.293176</td>\n",
       "      <td>...</td>\n",
       "      <td>0.124759</td>\n",
       "      <td>0.775853</td>\n",
       "      <td>0.439545</td>\n",
       "      <td>0.072878</td>\n",
       "      <td>492.532196</td>\n",
       "      <td>4062.543745</td>\n",
       "      <td>8.567566e+05</td>\n",
       "      <td>0.020122</td>\n",
       "      <td>0.533946</td>\n",
       "      <td>3.185739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>55.297318</td>\n",
       "      <td>10.777171</td>\n",
       "      <td>0.357644</td>\n",
       "      <td>1.369686</td>\n",
       "      <td>2.087087</td>\n",
       "      <td>0.155500</td>\n",
       "      <td>0.364456</td>\n",
       "      <td>0.821337</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.998317</td>\n",
       "      <td>...</td>\n",
       "      <td>0.330460</td>\n",
       "      <td>0.417038</td>\n",
       "      <td>0.496353</td>\n",
       "      <td>0.259948</td>\n",
       "      <td>814.769415</td>\n",
       "      <td>3107.784600</td>\n",
       "      <td>1.995606e+06</td>\n",
       "      <td>0.140425</td>\n",
       "      <td>0.498868</td>\n",
       "      <td>2.536955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>4.000000</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>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>-12.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</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>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>972.250000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>47.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</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>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>242.000000</td>\n",
       "      <td>3993.000000</td>\n",
       "      <td>1.651000e+03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>71.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>449.000000</td>\n",
       "      <td>7026.750000</td>\n",
       "      <td>3.738455e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1641.000000</td>\n",
       "      <td>214.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>29829.000000</td>\n",
       "      <td>12874.000000</td>\n",
       "      <td>1.076799e+07</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 87 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         length_url  length_hostname            ip       nb_dots  \\\n",
       "count  11430.000000     11430.000000  11430.000000  11430.000000   \n",
       "mean      61.126684        21.090289      0.150569      2.480752   \n",
       "std       55.297318        10.777171      0.357644      1.369686   \n",
       "min       12.000000         4.000000      0.000000      1.000000   \n",
       "25%       33.000000        15.000000      0.000000      2.000000   \n",
       "50%       47.000000        19.000000      0.000000      2.000000   \n",
       "75%       71.000000        24.000000      0.000000      3.000000   \n",
       "max     1641.000000       214.000000      1.000000     24.000000   \n",
       "\n",
       "         nb_hyphens         nb_at         nb_qm        nb_and    nb_or  \\\n",
       "count  11430.000000  11430.000000  11430.000000  11430.000000  11430.0   \n",
       "mean       0.997550      0.022222      0.141207      0.162292      0.0   \n",
       "std        2.087087      0.155500      0.364456      0.821337      0.0   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.0   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.0   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.0   \n",
       "75%        1.000000      0.000000      0.000000      0.000000      0.0   \n",
       "max       43.000000      4.000000      3.000000     19.000000      0.0   \n",
       "\n",
       "              nb_eq  ...   empty_title  domain_in_title  \\\n",
       "count  11430.000000  ...  11430.000000     11430.000000   \n",
       "mean       0.293176  ...      0.124759         0.775853   \n",
       "std        0.998317  ...      0.330460         0.417038   \n",
       "min        0.000000  ...      0.000000         0.000000   \n",
       "25%        0.000000  ...      0.000000         1.000000   \n",
       "50%        0.000000  ...      0.000000         1.000000   \n",
       "75%        0.000000  ...      0.000000         1.000000   \n",
       "max       19.000000  ...      1.000000         1.000000   \n",
       "\n",
       "       domain_with_copyright  whois_registered_domain  \\\n",
       "count           11430.000000             11430.000000   \n",
       "mean                0.439545                 0.072878   \n",
       "std                 0.496353                 0.259948   \n",
       "min                 0.000000                 0.000000   \n",
       "25%                 0.000000                 0.000000   \n",
       "50%                 0.000000                 0.000000   \n",
       "75%                 1.000000                 0.000000   \n",
       "max                 1.000000                 1.000000   \n",
       "\n",
       "       domain_registration_length    domain_age   web_traffic    dns_record  \\\n",
       "count                11430.000000  11430.000000  1.143000e+04  11430.000000   \n",
       "mean                   492.532196   4062.543745  8.567566e+05      0.020122   \n",
       "std                    814.769415   3107.784600  1.995606e+06      0.140425   \n",
       "min                     -1.000000    -12.000000  0.000000e+00      0.000000   \n",
       "25%                     84.000000    972.250000  0.000000e+00      0.000000   \n",
       "50%                    242.000000   3993.000000  1.651000e+03      0.000000   \n",
       "75%                    449.000000   7026.750000  3.738455e+05      0.000000   \n",
       "max                  29829.000000  12874.000000  1.076799e+07      1.000000   \n",
       "\n",
       "       google_index     page_rank  \n",
       "count  11430.000000  11430.000000  \n",
       "mean       0.533946      3.185739  \n",
       "std        0.498868      2.536955  \n",
       "min        0.000000      0.000000  \n",
       "25%        0.000000      1.000000  \n",
       "50%        1.000000      3.000000  \n",
       "75%        1.000000      5.000000  \n",
       "max        1.000000     10.000000  \n",
       "\n",
       "[8 rows x 87 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe() # description of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:01:54.6115Z",
     "iopub.status.busy": "2021-07-09T19:01:54.611086Z",
     "iopub.status.idle": "2021-07-09T19:01:55.128228Z",
     "shell.execute_reply": "2021-07-09T19:01:55.127457Z",
     "shell.execute_reply.started": "2021-07-09T19:01:54.611457Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11430 entries, 0 to 11429\n",
      "Data columns (total 89 columns):\n",
      " #   Column                      Non-Null Count  Dtype  \n",
      "---  ------                      --------------  -----  \n",
      " 0   url                         11430 non-null  object \n",
      " 1   length_url                  11430 non-null  int64  \n",
      " 2   length_hostname             11430 non-null  int64  \n",
      " 3   ip                          11430 non-null  int64  \n",
      " 4   nb_dots                     11430 non-null  int64  \n",
      " 5   nb_hyphens                  11430 non-null  int64  \n",
      " 6   nb_at                       11430 non-null  int64  \n",
      " 7   nb_qm                       11430 non-null  int64  \n",
      " 8   nb_and                      11430 non-null  int64  \n",
      " 9   nb_or                       11430 non-null  int64  \n",
      " 10  nb_eq                       11430 non-null  int64  \n",
      " 11  nb_underscore               11430 non-null  int64  \n",
      " 12  nb_tilde                    11430 non-null  int64  \n",
      " 13  nb_percent                  11430 non-null  int64  \n",
      " 14  nb_slash                    11430 non-null  int64  \n",
      " 15  nb_star                     11430 non-null  int64  \n",
      " 16  nb_colon                    11430 non-null  int64  \n",
      " 17  nb_comma                    11430 non-null  int64  \n",
      " 18  nb_semicolumn               11430 non-null  int64  \n",
      " 19  nb_dollar                   11430 non-null  int64  \n",
      " 20  nb_space                    11430 non-null  int64  \n",
      " 21  nb_www                      11430 non-null  int64  \n",
      " 22  nb_com                      11430 non-null  int64  \n",
      " 23  nb_dslash                   11430 non-null  int64  \n",
      " 24  http_in_path                11430 non-null  int64  \n",
      " 25  https_token                 11430 non-null  int64  \n",
      " 26  ratio_digits_url            11430 non-null  float64\n",
      " 27  ratio_digits_host           11430 non-null  float64\n",
      " 28  punycode                    11430 non-null  int64  \n",
      " 29  port                        11430 non-null  int64  \n",
      " 30  tld_in_path                 11430 non-null  int64  \n",
      " 31  tld_in_subdomain            11430 non-null  int64  \n",
      " 32  abnormal_subdomain          11430 non-null  int64  \n",
      " 33  nb_subdomains               11430 non-null  int64  \n",
      " 34  prefix_suffix               11430 non-null  int64  \n",
      " 35  random_domain               11430 non-null  int64  \n",
      " 36  shortening_service          11430 non-null  int64  \n",
      " 37  path_extension              11430 non-null  int64  \n",
      " 38  nb_redirection              11430 non-null  int64  \n",
      " 39  nb_external_redirection     11430 non-null  int64  \n",
      " 40  length_words_raw            11430 non-null  int64  \n",
      " 41  char_repeat                 11430 non-null  int64  \n",
      " 42  shortest_words_raw          11430 non-null  int64  \n",
      " 43  shortest_word_host          11430 non-null  int64  \n",
      " 44  shortest_word_path          11430 non-null  int64  \n",
      " 45  longest_words_raw           11430 non-null  int64  \n",
      " 46  longest_word_host           11430 non-null  int64  \n",
      " 47  longest_word_path           11430 non-null  int64  \n",
      " 48  avg_words_raw               11430 non-null  float64\n",
      " 49  avg_word_host               11430 non-null  float64\n",
      " 50  avg_word_path               11430 non-null  float64\n",
      " 51  phish_hints                 11430 non-null  int64  \n",
      " 52  domain_in_brand             11430 non-null  int64  \n",
      " 53  brand_in_subdomain          11430 non-null  int64  \n",
      " 54  brand_in_path               11430 non-null  int64  \n",
      " 55  suspecious_tld              11430 non-null  int64  \n",
      " 56  statistical_report          11430 non-null  int64  \n",
      " 57  nb_hyperlinks               11430 non-null  int64  \n",
      " 58  ratio_intHyperlinks         11430 non-null  float64\n",
      " 59  ratio_extHyperlinks         11430 non-null  float64\n",
      " 60  ratio_nullHyperlinks        11430 non-null  int64  \n",
      " 61  nb_extCSS                   11430 non-null  int64  \n",
      " 62  ratio_intRedirection        11430 non-null  int64  \n",
      " 63  ratio_extRedirection        11430 non-null  float64\n",
      " 64  ratio_intErrors             11430 non-null  int64  \n",
      " 65  ratio_extErrors             11430 non-null  float64\n",
      " 66  login_form                  11430 non-null  int64  \n",
      " 67  external_favicon            11430 non-null  int64  \n",
      " 68  links_in_tags               11430 non-null  float64\n",
      " 69  submit_email                11430 non-null  int64  \n",
      " 70  ratio_intMedia              11430 non-null  float64\n",
      " 71  ratio_extMedia              11430 non-null  float64\n",
      " 72  sfh                         11430 non-null  int64  \n",
      " 73  iframe                      11430 non-null  int64  \n",
      " 74  popup_window                11430 non-null  int64  \n",
      " 75  safe_anchor                 11430 non-null  float64\n",
      " 76  onmouseover                 11430 non-null  int64  \n",
      " 77  right_clic                  11430 non-null  int64  \n",
      " 78  empty_title                 11430 non-null  int64  \n",
      " 79  domain_in_title             11430 non-null  int64  \n",
      " 80  domain_with_copyright       11430 non-null  int64  \n",
      " 81  whois_registered_domain     11430 non-null  int64  \n",
      " 82  domain_registration_length  11430 non-null  int64  \n",
      " 83  domain_age                  11430 non-null  int64  \n",
      " 84  web_traffic                 11430 non-null  int64  \n",
      " 85  dns_record                  11430 non-null  int64  \n",
      " 86  google_index                11430 non-null  int64  \n",
      " 87  page_rank                   11430 non-null  int64  \n",
      " 88  status                      11430 non-null  object \n",
      "dtypes: float64(13), int64(74), object(2)\n",
      "memory usage: 7.8+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info() # to observe the null values and datatypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA: Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# observing the correlation of features\n",
    "plt.figure(figsize=(15, 15))\n",
    "sns.heatmap(data.corr(), linewidths=.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:01:55.129919Z",
     "iopub.status.busy": "2021-07-09T19:01:55.129491Z",
     "iopub.status.idle": "2021-07-09T19:01:55.139685Z",
     "shell.execute_reply": "2021-07-09T19:01:55.138758Z",
     "shell.execute_reply.started": "2021-07-09T19:01:55.129876Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "legitimate    5715\n",
       "phishing      5715\n",
       "Name: status, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['status'].value_counts() # to observe the number of legitimate and phishing rows we have. Data is balanced"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:01:55.1416Z",
     "iopub.status.busy": "2021-07-09T19:01:55.141243Z",
     "iopub.status.idle": "2021-07-09T19:01:55.16269Z",
     "shell.execute_reply": "2021-07-09T19:01:55.161669Z",
     "shell.execute_reply.started": "2021-07-09T19:01:55.141567Z"
    }
   },
   "outputs": [],
   "source": [
    "legitimate_data = data[data['status']=='legitimate']\n",
    "phishing_data = data[data['status']==\"phishing\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:01:55.164971Z",
     "iopub.status.busy": "2021-07-09T19:01:55.164478Z",
     "iopub.status.idle": "2021-07-09T19:01:55.984894Z",
     "shell.execute_reply": "2021-07-09T19:01:55.98368Z",
     "shell.execute_reply.started": "2021-07-09T19:01:55.164929Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's see if we can see differentiate the websites\n",
    "for col in ['login_form', 'random_domain', 'suspecious_tld', 'popup_window', 'phish_hints', 'empty_title', 'external_favicon']:\n",
    "    sns.barplot(x = phishing_data[col].value_counts().index,\n",
    "            y = phishing_data[col].value_counts().values)\n",
    "\n",
    "    plt.title(col)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We can observe that the websites are really hard to differentiate. But still key differences will be there like length of the hostname"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:01:55.987125Z",
     "iopub.status.busy": "2021-07-09T19:01:55.986664Z",
     "iopub.status.idle": "2021-07-09T19:01:56.119839Z",
     "shell.execute_reply": "2021-07-09T19:01:56.118751Z",
     "shell.execute_reply.started": "2021-07-09T19:01:55.987077Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lengths = {\n",
    "    \"legitimate\": np.mean(legitimate_data['length_hostname']),\n",
    "    \"phishing\": np.mean(phishing_data['length_hostname'])\n",
    "}\n",
    "\n",
    "sns.barplot(x = list(lengths.keys()),\n",
    "            y = list(lengths.values()))\n",
    "\n",
    "plt.title(\"Length_hostname\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:01:56.122451Z",
     "iopub.status.busy": "2021-07-09T19:01:56.122118Z",
     "iopub.status.idle": "2021-07-09T19:01:56.161461Z",
     "shell.execute_reply": "2021-07-09T19:01:56.160318Z",
     "shell.execute_reply.started": "2021-07-09T19:01:56.122418Z"
    }
   },
   "outputs": [],
   "source": [
    "# Splitting the data into training and testing !\n",
    "\n",
    "\n",
    "Y = data['status']\n",
    "X = data.drop(\"status\", axis = 1)\n",
    "\n",
    "# encoding the target variable\n",
    "Y = Y.map({'legitimate':0,'phishing':1})\n",
    "\n",
    "# mentioning the stratify field to get the data balance while splitting \n",
    "x_train, x_test, y_train, y_test = train_test_split(X, Y, test_size = 0.3, stratify=data['status']) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:01:56.163209Z",
     "iopub.status.busy": "2021-07-09T19:01:56.162779Z",
     "iopub.status.idle": "2021-07-09T19:01:56.170101Z",
     "shell.execute_reply": "2021-07-09T19:01:56.169092Z",
     "shell.execute_reply.started": "2021-07-09T19:01:56.163164Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((8001, 88), (3429, 88))"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.shape, x_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:03:48.263802Z",
     "iopub.status.busy": "2021-07-09T19:03:48.263413Z",
     "iopub.status.idle": "2021-07-09T19:03:48.276057Z",
     "shell.execute_reply": "2021-07-09T19:03:48.27485Z",
     "shell.execute_reply.started": "2021-07-09T19:03:48.263769Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1    4001\n",
       " 0    4000\n",
       " Name: status, dtype: int64,\n",
       " 0    1715\n",
       " 1    1714\n",
       " Name: status, dtype: int64)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.value_counts(), y_test.value_counts() # should have the data balance "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:06:24.525268Z",
     "iopub.status.busy": "2021-07-09T19:06:24.524891Z",
     "iopub.status.idle": "2021-07-09T19:06:24.535892Z",
     "shell.execute_reply": "2021-07-09T19:06:24.53459Z",
     "shell.execute_reply.started": "2021-07-09T19:06:24.525236Z"
    }
   },
   "outputs": [],
   "source": [
    "# considering only numerical features\n",
    "numerical_features = [col for col in x_train.columns if data[col].dtype!=\"O\"]\n",
    "x_train = x_train[numerical_features]\n",
    "x_test = x_test[numerical_features]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Selection:\n",
    "- Using RandomForestClassifier.feature_importances_ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:08:28.627333Z",
     "iopub.status.busy": "2021-07-09T19:08:28.626902Z",
     "iopub.status.idle": "2021-07-09T19:08:30.119088Z",
     "shell.execute_reply": "2021-07-09T19:08:30.11806Z",
     "shell.execute_reply.started": "2021-07-09T19:08:28.627281Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestClassifier()"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random_forest = RandomForestClassifier()\n",
    "\n",
    "random_forest.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:09:59.792581Z",
     "iopub.status.busy": "2021-07-09T19:09:59.792171Z",
     "iopub.status.idle": "2021-07-09T19:09:59.807192Z",
     "shell.execute_reply": "2021-07-09T19:09:59.806408Z",
     "shell.execute_reply.started": "2021-07-09T19:09:59.792545Z"
    }
   },
   "outputs": [],
   "source": [
    "feature_importances = random_forest.feature_importances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-09T19:09:34.071461Z",
     "iopub.status.busy": "2021-07-09T19:09:34.070897Z",
     "iopub.status.idle": "2021-07-09T19:09:34.243693Z",
     "shell.execute_reply": "2021-07-09T19:09:34.242644Z",
     "shell.execute_reply.started": "2021-07-09T19:09:34.071417Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ranked_features=pd.Series(feature_importances,index=x_train.columns)\n",
    "ranked_features.nlargest(15).plot(kind='barh') # considering top \"15\" columns based on their feature importances\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "features_selected =ranked_features.nlargest(10)\n",
    "col = features_selected.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modelling:\n",
    "\n",
    " - on the selected features(top 15)\n",
    " - Performing multiple models and observing their classification reports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1392  323]\n",
      " [1288  426]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.52      0.81      0.63      1715\n",
      "           1       0.57      0.25      0.35      1714\n",
      "\n",
      "    accuracy                           0.53      3429\n",
      "   macro avg       0.54      0.53      0.49      3429\n",
      "weighted avg       0.54      0.53      0.49      3429\n",
      "\n"
     ]
    }
   ],
   "source": [
    "logistic_regression = LogisticRegression()\n",
    "logistic_regression.fit(x_train[col], y_train)\n",
    "ypred = logistic_regression.predict(x_test[col])\n",
    "yproba = logistic_regression.predict_proba(x_test[col])\n",
    "print(confusion_matrix(y_test, ypred))\n",
    "print(classification_report(y_test, ypred))\n",
    "fpr, tpr, _ = roc_curve(y_test, yproba[:,1])\n",
    "auc = roc_auc_score(y_test, yproba[:,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(fpr, tpr, label = 'Roc Curve (area = %0.2f)'%auc )\n",
    "plt.plot([0, 1], [0, 1], 'k--') \n",
    "plt.xticks(np.arange(0.0,1.1, step = 0.1)) \n",
    "plt.yticks(np.arange(0.0,1.1, step = 0.1))\n",
    "plt.xlabel('False Positive Rate') \n",
    "plt.ylabel('True Positive Rate') \n",
    "plt.title('Receiver operating characteristic') \n",
    "plt.legend(loc=\"lower right\") \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1575  140]\n",
      " [ 101 1613]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.94      0.92      0.93      1715\n",
      "           1       0.92      0.94      0.93      1714\n",
      "\n",
      "    accuracy                           0.93      3429\n",
      "   macro avg       0.93      0.93      0.93      3429\n",
      "weighted avg       0.93      0.93      0.93      3429\n",
      "\n"
     ]
    }
   ],
   "source": [
    "dr = DecisionTreeClassifier()\n",
    "dr.fit(x_train[col], y_train)\n",
    "ypred1 = dr.predict(x_test[col])\n",
    "print(confusion_matrix(y_test, ypred1))\n",
    "print(classification_report(y_test, ypred1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1627   88]\n",
      " [  64 1650]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.96      0.95      0.96      1715\n",
      "           1       0.95      0.96      0.96      1714\n",
      "\n",
      "    accuracy                           0.96      3429\n",
      "   macro avg       0.96      0.96      0.96      3429\n",
      "weighted avg       0.96      0.96      0.96      3429\n",
      "\n"
     ]
    }
   ],
   "source": [
    "rfclf = RandomForestClassifier()\n",
    "rfclf.fit(x_train[col], y_train)\n",
    "ypred2 = rfclf.predict(x_test[col])\n",
    "print(confusion_matrix(y_test, ypred2))\n",
    "print(classification_report(y_test, ypred2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1625   90]\n",
      " [  62 1652]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.96      0.95      0.96      1715\n",
      "           1       0.95      0.96      0.96      1714\n",
      "\n",
      "    accuracy                           0.96      3429\n",
      "   macro avg       0.96      0.96      0.96      3429\n",
      "weighted avg       0.96      0.96      0.96      3429\n",
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "xgb = XGBClassifier()\n",
    "xgb.fit(x_train[col], y_train)\n",
    "ypred3 = xgb.predict(x_test[col])\n",
    "print(confusion_matrix(y_test, ypred3))\n",
    "print(classification_report(y_test, ypred3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model comparsions using ROC curve Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "classifiers = [LogisticRegression() ,DecisionTreeClassifier(), RandomForestClassifier(class_weight = 'balanced_subsample'), XGBClassifier()]\n",
    "result_table = pd.DataFrame(columns = ['classifiers','fpr','tpr','auc'])\n",
    "\n",
    "for cls in classifiers:\n",
    "    model = cls.fit(x_train[col], y_train)\n",
    "    yproba = model.predict_proba(x_test[col])[::,1]\n",
    "    fpr, tpr, _ = roc_curve(y_test, yproba)\n",
    "    auc = roc_auc_score(y_test, yproba)\n",
    "    \n",
    "    result_table = result_table.append({'classifiers': cls.__class__.__name__ ,\n",
    "                                       'fpr': fpr,\n",
    "                                       'tpr': tpr,\n",
    "                                       'auc': auc}, ignore_index = True)\n",
    "result_table.set_index('classifiers', inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "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>fpr</th>\n",
       "      <th>tpr</th>\n",
       "      <th>auc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>classifiers</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LogisticRegression</th>\n",
       "      <td>[0.0, 0.0005830903790087463, 0.000583090379008...</td>\n",
       "      <td>[0.0, 0.0, 0.006417736289381563, 0.00641773628...</td>\n",
       "      <td>0.654109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DecisionTreeClassifier</th>\n",
       "      <td>[0.0, 0.0892128279883382, 1.0]</td>\n",
       "      <td>[0.0, 0.94049008168028, 1.0]</td>\n",
       "      <td>0.925639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RandomForestClassifier</th>\n",
       "      <td>[0.0, 0.001749271137026239, 0.0017492711370262...</td>\n",
       "      <td>[0.0, 0.5122520420070011, 0.5128354725787632, ...</td>\n",
       "      <td>0.990250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XGBClassifier</th>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...</td>\n",
       "      <td>[0.0, 0.0005834305717619603, 0.004084014002333...</td>\n",
       "      <td>0.990379</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                      fpr  \\\n",
       "classifiers                                                                 \n",
       "LogisticRegression      [0.0, 0.0005830903790087463, 0.000583090379008...   \n",
       "DecisionTreeClassifier                     [0.0, 0.0892128279883382, 1.0]   \n",
       "RandomForestClassifier  [0.0, 0.001749271137026239, 0.0017492711370262...   \n",
       "XGBClassifier           [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...   \n",
       "\n",
       "                                                                      tpr  \\\n",
       "classifiers                                                                 \n",
       "LogisticRegression      [0.0, 0.0, 0.006417736289381563, 0.00641773628...   \n",
       "DecisionTreeClassifier                       [0.0, 0.94049008168028, 1.0]   \n",
       "RandomForestClassifier  [0.0, 0.5122520420070011, 0.5128354725787632, ...   \n",
       "XGBClassifier           [0.0, 0.0005834305717619603, 0.004084014002333...   \n",
       "\n",
       "                             auc  \n",
       "classifiers                       \n",
       "LogisticRegression      0.654109  \n",
       "DecisionTreeClassifier  0.925639  \n",
       "RandomForestClassifier  0.990250  \n",
       "XGBClassifier           0.990379  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (8,6))\n",
    "for i in result_table.index:\n",
    "    plt.plot(result_table.loc[i]['fpr'],\n",
    "            result_table.loc[i]['tpr'],\n",
    "            label = '{},  AUC = {:.3f}'.format(i, result_table.loc[i]['auc']))\n",
    "plt.plot([0,1],[0,1], color = 'orange', linestyle ='--')\n",
    "plt.xticks(np.arange(0.0,1.1,step = 0.1))\n",
    "plt.xlabel('false positive ratio', fontsize = 15)\n",
    "plt.yticks(np.arange(0.0,1.1,step = 0.1))\n",
    "plt.ylabel('true positive ratio', fontsize = 15)\n",
    "plt.title('Roc Analysis', fontweight = 'bold', fontsize = 15)\n",
    "plt.legend(prop = {'size': 13}, loc = 'lower right')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}