1870 lines
556 KiB
Plaintext
1870 lines
556 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 40,
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"metadata": {},
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"outputs": [],
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"source": [
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"#! pip install tensorflow\n",
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"#! pip install scikit-learn\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 41,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns \n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 42,
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"metadata": {},
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"outputs": [],
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"source": [
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"train_df = pd.read_csv(\"train.csv\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 43,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0 poznan.wuoz.gov.pl\n",
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"1 vill.okawa.kochi.jp\n",
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"2 nationalfinance.co.om\n",
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"3 town.ozora.hokkaido.jp\n",
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"4 open24.ie-news.irish/online/Login\n",
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" ... \n",
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"6995051 ddht.co.kr\n",
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"6995052 www.upstartepoxy.com\n",
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"6995053 employeesalaryschedule70.000webhostapp.com/adb...\n",
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"6995054 dekalbtool.com\n",
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"6995055 helpinganimals.com\n",
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"Name: URL_clean, Length: 6995056, dtype: object"
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]
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},
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"execution_count": 43,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# 대괄호 [ ] 제거\n",
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"train_df['URL_clean'] = train_df['URL'].str.replace(r'[\\[\\]]', '', regex=True)\n",
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"train_df[\"URL_clean\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>ID</th>\n",
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" <th>URL</th>\n",
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" <th>label</th>\n",
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" <th>URL_clean</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>TRAIN_0000000</td>\n",
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" <td>poznan[.]wuoz[.]gov[.]pl</td>\n",
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" <td>0</td>\n",
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" <td>poznan.wuoz.gov.pl</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>TRAIN_0000001</td>\n",
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" <td>vill[.]okawa[.]kochi[.]jp</td>\n",
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" <td>0</td>\n",
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" <td>vill.okawa.kochi.jp</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>TRAIN_0000002</td>\n",
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" <td>nationalfinance[.]co[.]om</td>\n",
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" <td>0</td>\n",
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" <td>nationalfinance.co.om</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>TRAIN_0000003</td>\n",
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" <td>town[.]ozora[.]hokkaido[.]jp</td>\n",
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" <td>0</td>\n",
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" <td>town.ozora.hokkaido.jp</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>TRAIN_0000004</td>\n",
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" <td>open24[.]ie-news[.]irish/online/Login</td>\n",
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" <td>1</td>\n",
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" <td>open24.ie-news.irish/online/Login</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6995051</th>\n",
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" <td>TRAIN_6995051</td>\n",
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" <td>ddht[.]co[.]kr</td>\n",
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" <td>0</td>\n",
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" <td>ddht.co.kr</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6995052</th>\n",
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" <td>TRAIN_6995052</td>\n",
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" <td>www[.]upstartepoxy[.]com</td>\n",
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" <td>0</td>\n",
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" <td>www.upstartepoxy.com</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6995053</th>\n",
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" <td>TRAIN_6995053</td>\n",
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" <td>employeesalaryschedule70[.]000webhostapp[.]com...</td>\n",
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" <td>1</td>\n",
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" <td>employeesalaryschedule70.000webhostapp.com/adb...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6995054</th>\n",
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" <td>TRAIN_6995054</td>\n",
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" <td>dekalbtool[.]com</td>\n",
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" <td>0</td>\n",
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" <td>dekalbtool.com</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6995055</th>\n",
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" <td>TRAIN_6995055</td>\n",
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" <td>helpinganimals[.]com</td>\n",
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" <td>0</td>\n",
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" <td>helpinganimals.com</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>6995056 rows × 4 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" ID URL \\\n",
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"0 TRAIN_0000000 poznan[.]wuoz[.]gov[.]pl \n",
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"1 TRAIN_0000001 vill[.]okawa[.]kochi[.]jp \n",
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"2 TRAIN_0000002 nationalfinance[.]co[.]om \n",
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"3 TRAIN_0000003 town[.]ozora[.]hokkaido[.]jp \n",
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"4 TRAIN_0000004 open24[.]ie-news[.]irish/online/Login \n",
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"... ... ... \n",
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"6995051 TRAIN_6995051 ddht[.]co[.]kr \n",
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"6995052 TRAIN_6995052 www[.]upstartepoxy[.]com \n",
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"6995053 TRAIN_6995053 employeesalaryschedule70[.]000webhostapp[.]com... \n",
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"6995054 TRAIN_6995054 dekalbtool[.]com \n",
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"6995055 TRAIN_6995055 helpinganimals[.]com \n",
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"\n",
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" label URL_clean \n",
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"0 0 poznan.wuoz.gov.pl \n",
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"1 0 vill.okawa.kochi.jp \n",
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"2 0 nationalfinance.co.om \n",
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"3 0 town.ozora.hokkaido.jp \n",
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"4 1 open24.ie-news.irish/online/Login \n",
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"... ... ... \n",
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"6995051 0 ddht.co.kr \n",
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"6995052 0 www.upstartepoxy.com \n",
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"6995053 1 employeesalaryschedule70.000webhostapp.com/adb... \n",
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"6995054 0 dekalbtool.com \n",
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"6995055 0 helpinganimals.com \n",
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"\n",
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"[6995056 rows x 4 columns]"
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]
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},
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"execution_count": 44,
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||
"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"train_df"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 45,
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"metadata": {},
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"outputs": [],
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"source": [
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"import re\n",
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"\n",
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"# URL 전처리 (특징 생성)\n",
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"train_df['digit_count'] = train_df['URL_clean'].str.count(r'\\d')\n",
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"train_df['dash_count'] = train_df['URL_clean'].str.count(r'-')\n",
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"train_df['underscore_count'] = train_df['URL_clean'].str.count(r'_')\n",
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"train_df['percent_count'] = train_df['URL_clean'].str.count(r'%')\n",
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"train_df['equal_count'] = train_df['URL_clean'].str.count(r'=')\n",
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"train_df['question_count'] = train_df['URL_clean'].str.count(r'\\?')\n",
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"train_df['at_count'] = train_df['URL_clean'].str.count(r'@')\n",
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"train_df['is_ip_in_url'] = train_df['URL_clean'].apply(lambda x: bool(re.search(r'\\b(?:\\d{1,3}\\.){3}\\d{1,3}\\b', x)))\n",
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"train_df['special_char_count'] = train_df['URL_clean'].str.count(r'[^a-zA-Z0-9]')\n",
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"train_df['count_of_double_slash'] = train_df['URL_clean'].str.count(r'//')\n",
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"\n",
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"# www 포함 여부\n",
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"train_df['has_www'] = train_df['URL_clean'].str.contains('www')\n",
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"\n",
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"# suspicious word 포함 여부\n",
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"suspicious_words = ['login', 'verify', 'update', 'confirm', 'account', 'secure', 'ebayisapi', 'banking']\n",
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"train_df['suspicious_word_count'] = train_df['URL_clean'].apply(\n",
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" lambda x: sum(word in x.lower() for word in suspicious_words)\n",
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")\n",
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"# path 깊이\n",
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"train_df['path_depth'] = train_df['URL_clean'].str.count(r'/') - 2\n",
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"\n",
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"# 숫자 연속 등장 여부\n",
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"train_df['has_long_digit_sequence'] = train_df['URL_clean'].str.contains(r'\\d{4,}')\n",
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||
"# 하이픈 연속 등장 여부\n",
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"train_df['has_multiple_dash'] = train_df['URL_clean'].str.contains(r'-{2,}')\n",
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||
"\n",
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"# has_https (https로 시작하는지 여부)\n",
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"train_df['has_https'] = train_df['URL_clean'].str.startswith('https')\n",
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||
"\n",
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"# count_of_exclamation ('!' 등장 수)\n",
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"train_df['count_of_exclamation'] = train_df['URL_clean'].str.count('!')\n",
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"\n",
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"# count_of_dot ('.' 등장 수)\n",
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"train_df['count_of_dot'] = train_df['URL_clean'].str.count(r'\\.')\n",
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"\n",
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"# ends_with_common_extension (.html, .php 등으로 끝나는지 여부)\n",
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"train_df['ends_with_common_extension'] = train_df['URL_clean'].str.endswith(('.html', '.php'))\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 46,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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||
" }\n",
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"\n",
|
||
" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
|
||
" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
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" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>ID</th>\n",
|
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" <th>URL</th>\n",
|
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" <th>label</th>\n",
|
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" <th>URL_clean</th>\n",
|
||
" <th>digit_count</th>\n",
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" <th>dash_count</th>\n",
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||
" <th>underscore_count</th>\n",
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" <th>percent_count</th>\n",
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" <th>equal_count</th>\n",
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" <th>question_count</th>\n",
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||
" <th>...</th>\n",
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" <th>count_of_double_slash</th>\n",
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" <th>has_www</th>\n",
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" <th>suspicious_word_count</th>\n",
|
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" <th>path_depth</th>\n",
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" <th>has_long_digit_sequence</th>\n",
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||
" <th>has_multiple_dash</th>\n",
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" <th>has_https</th>\n",
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||
" <th>count_of_exclamation</th>\n",
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" <th>count_of_dot</th>\n",
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" <th>ends_with_common_extension</th>\n",
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" </tr>\n",
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||
" </thead>\n",
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||
" <tbody>\n",
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||
" <tr>\n",
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||
" <th>0</th>\n",
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||
" <td>TRAIN_0000000</td>\n",
|
||
" <td>poznan[.]wuoz[.]gov[.]pl</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>poznan.wuoz.gov.pl</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>TRAIN_0000001</td>\n",
|
||
" <td>vill[.]okawa[.]kochi[.]jp</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>vill.okawa.kochi.jp</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>TRAIN_0000002</td>\n",
|
||
" <td>nationalfinance[.]co[.]om</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>nationalfinance.co.om</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>TRAIN_0000003</td>\n",
|
||
" <td>town[.]ozora[.]hokkaido[.]jp</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>town.ozora.hokkaido.jp</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>TRAIN_0000004</td>\n",
|
||
" <td>open24[.]ie-news[.]irish/online/Login</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>open24.ie-news.irish/online/Login</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>1</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>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995051</th>\n",
|
||
" <td>TRAIN_6995051</td>\n",
|
||
" <td>ddht[.]co[.]kr</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>ddht.co.kr</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995052</th>\n",
|
||
" <td>TRAIN_6995052</td>\n",
|
||
" <td>www[.]upstartepoxy[.]com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>www.upstartepoxy.com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995053</th>\n",
|
||
" <td>TRAIN_6995053</td>\n",
|
||
" <td>employeesalaryschedule70[.]000webhostapp[.]com...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>employeesalaryschedule70.000webhostapp.com/adb...</td>\n",
|
||
" <td>5</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>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995054</th>\n",
|
||
" <td>TRAIN_6995054</td>\n",
|
||
" <td>dekalbtool[.]com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>dekalbtool.com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995055</th>\n",
|
||
" <td>TRAIN_6995055</td>\n",
|
||
" <td>helpinganimals[.]com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>helpinganimals.com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>False</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>6995056 rows × 23 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" ID URL \\\n",
|
||
"0 TRAIN_0000000 poznan[.]wuoz[.]gov[.]pl \n",
|
||
"1 TRAIN_0000001 vill[.]okawa[.]kochi[.]jp \n",
|
||
"2 TRAIN_0000002 nationalfinance[.]co[.]om \n",
|
||
"3 TRAIN_0000003 town[.]ozora[.]hokkaido[.]jp \n",
|
||
"4 TRAIN_0000004 open24[.]ie-news[.]irish/online/Login \n",
|
||
"... ... ... \n",
|
||
"6995051 TRAIN_6995051 ddht[.]co[.]kr \n",
|
||
"6995052 TRAIN_6995052 www[.]upstartepoxy[.]com \n",
|
||
"6995053 TRAIN_6995053 employeesalaryschedule70[.]000webhostapp[.]com... \n",
|
||
"6995054 TRAIN_6995054 dekalbtool[.]com \n",
|
||
"6995055 TRAIN_6995055 helpinganimals[.]com \n",
|
||
"\n",
|
||
" label URL_clean \\\n",
|
||
"0 0 poznan.wuoz.gov.pl \n",
|
||
"1 0 vill.okawa.kochi.jp \n",
|
||
"2 0 nationalfinance.co.om \n",
|
||
"3 0 town.ozora.hokkaido.jp \n",
|
||
"4 1 open24.ie-news.irish/online/Login \n",
|
||
"... ... ... \n",
|
||
"6995051 0 ddht.co.kr \n",
|
||
"6995052 0 www.upstartepoxy.com \n",
|
||
"6995053 1 employeesalaryschedule70.000webhostapp.com/adb... \n",
|
||
"6995054 0 dekalbtool.com \n",
|
||
"6995055 0 helpinganimals.com \n",
|
||
"\n",
|
||
" digit_count dash_count underscore_count percent_count \\\n",
|
||
"0 0 0 0 0 \n",
|
||
"1 0 0 0 0 \n",
|
||
"2 0 0 0 0 \n",
|
||
"3 0 0 0 0 \n",
|
||
"4 2 1 0 0 \n",
|
||
"... ... ... ... ... \n",
|
||
"6995051 0 0 0 0 \n",
|
||
"6995052 0 0 0 0 \n",
|
||
"6995053 5 0 0 0 \n",
|
||
"6995054 0 0 0 0 \n",
|
||
"6995055 0 0 0 0 \n",
|
||
"\n",
|
||
" equal_count question_count ... count_of_double_slash has_www \\\n",
|
||
"0 0 0 ... 0 False \n",
|
||
"1 0 0 ... 0 False \n",
|
||
"2 0 0 ... 0 False \n",
|
||
"3 0 0 ... 0 False \n",
|
||
"4 0 0 ... 0 False \n",
|
||
"... ... ... ... ... ... \n",
|
||
"6995051 0 0 ... 0 False \n",
|
||
"6995052 0 0 ... 0 True \n",
|
||
"6995053 0 0 ... 0 False \n",
|
||
"6995054 0 0 ... 0 False \n",
|
||
"6995055 0 0 ... 0 False \n",
|
||
"\n",
|
||
" suspicious_word_count path_depth has_long_digit_sequence \\\n",
|
||
"0 0 -2 False \n",
|
||
"1 0 -2 False \n",
|
||
"2 0 -2 False \n",
|
||
"3 0 -2 False \n",
|
||
"4 1 0 False \n",
|
||
"... ... ... ... \n",
|
||
"6995051 0 -2 False \n",
|
||
"6995052 0 -2 False \n",
|
||
"6995053 0 0 False \n",
|
||
"6995054 0 -2 False \n",
|
||
"6995055 0 -2 False \n",
|
||
"\n",
|
||
" has_multiple_dash has_https count_of_exclamation count_of_dot \\\n",
|
||
"0 False False 0 3 \n",
|
||
"1 False False 0 3 \n",
|
||
"2 False False 0 2 \n",
|
||
"3 False False 0 3 \n",
|
||
"4 False False 0 2 \n",
|
||
"... ... ... ... ... \n",
|
||
"6995051 False False 0 2 \n",
|
||
"6995052 False False 0 2 \n",
|
||
"6995053 False False 0 2 \n",
|
||
"6995054 False False 0 1 \n",
|
||
"6995055 False False 0 1 \n",
|
||
"\n",
|
||
" ends_with_common_extension \n",
|
||
"0 False \n",
|
||
"1 False \n",
|
||
"2 False \n",
|
||
"3 False \n",
|
||
"4 False \n",
|
||
"... ... \n",
|
||
"6995051 False \n",
|
||
"6995052 False \n",
|
||
"6995053 False \n",
|
||
"6995054 False \n",
|
||
"6995055 False \n",
|
||
"\n",
|
||
"[6995056 rows x 23 columns]"
|
||
]
|
||
},
|
||
"execution_count": 46,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"train_df"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 47,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# url 엔트로피 차수 저장 \n",
|
||
"import math\n",
|
||
"\n",
|
||
"def calculate_entropy(url):\n",
|
||
" probability = [url.count(c) / len(url) for c in set(url)]\n",
|
||
" return -sum(p * math.log(p, 2) for p in probability)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 48,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"train_df['url_entropy'] = train_df['URL_clean'].apply(calculate_entropy)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 49,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
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|
||
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|
||
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|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
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|
||
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|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>ID</th>\n",
|
||
" <th>URL</th>\n",
|
||
" <th>label</th>\n",
|
||
" <th>URL_clean</th>\n",
|
||
" <th>digit_count</th>\n",
|
||
" <th>dash_count</th>\n",
|
||
" <th>underscore_count</th>\n",
|
||
" <th>percent_count</th>\n",
|
||
" <th>equal_count</th>\n",
|
||
" <th>question_count</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>has_www</th>\n",
|
||
" <th>suspicious_word_count</th>\n",
|
||
" <th>path_depth</th>\n",
|
||
" <th>has_long_digit_sequence</th>\n",
|
||
" <th>has_multiple_dash</th>\n",
|
||
" <th>has_https</th>\n",
|
||
" <th>count_of_exclamation</th>\n",
|
||
" <th>count_of_dot</th>\n",
|
||
" <th>ends_with_common_extension</th>\n",
|
||
" <th>url_entropy</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>TRAIN_0000000</td>\n",
|
||
" <td>poznan[.]wuoz[.]gov[.]pl</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>poznan.wuoz.gov.pl</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3.308271</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>TRAIN_0000001</td>\n",
|
||
" <td>vill[.]okawa[.]kochi[.]jp</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>vill.okawa.kochi.jp</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3.471354</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>TRAIN_0000002</td>\n",
|
||
" <td>nationalfinance[.]co[.]om</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>nationalfinance.co.om</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3.272804</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>TRAIN_0000003</td>\n",
|
||
" <td>town[.]ozora[.]hokkaido[.]jp</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>town.ozora.hokkaido.jp</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3.533771</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>TRAIN_0000004</td>\n",
|
||
" <td>open24[.]ie-news[.]irish/online/Login</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>open24.ie-news.irish/online/Login</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3.772450</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995051</th>\n",
|
||
" <td>TRAIN_6995051</td>\n",
|
||
" <td>ddht[.]co[.]kr</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>ddht.co.kr</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>2.921928</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995052</th>\n",
|
||
" <td>TRAIN_6995052</td>\n",
|
||
" <td>www[.]upstartepoxy[.]com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>www.upstartepoxy.com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3.684184</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995053</th>\n",
|
||
" <td>TRAIN_6995053</td>\n",
|
||
" <td>employeesalaryschedule70[.]000webhostapp[.]com...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>employeesalaryschedule70.000webhostapp.com/adb...</td>\n",
|
||
" <td>5</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>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>4.130881</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995054</th>\n",
|
||
" <td>TRAIN_6995054</td>\n",
|
||
" <td>dekalbtool[.]com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>dekalbtool.com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3.324863</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6995055</th>\n",
|
||
" <td>TRAIN_6995055</td>\n",
|
||
" <td>helpinganimals[.]com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>helpinganimals.com</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>-2</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3.614369</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>6995056 rows × 24 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" ID URL \\\n",
|
||
"0 TRAIN_0000000 poznan[.]wuoz[.]gov[.]pl \n",
|
||
"1 TRAIN_0000001 vill[.]okawa[.]kochi[.]jp \n",
|
||
"2 TRAIN_0000002 nationalfinance[.]co[.]om \n",
|
||
"3 TRAIN_0000003 town[.]ozora[.]hokkaido[.]jp \n",
|
||
"4 TRAIN_0000004 open24[.]ie-news[.]irish/online/Login \n",
|
||
"... ... ... \n",
|
||
"6995051 TRAIN_6995051 ddht[.]co[.]kr \n",
|
||
"6995052 TRAIN_6995052 www[.]upstartepoxy[.]com \n",
|
||
"6995053 TRAIN_6995053 employeesalaryschedule70[.]000webhostapp[.]com... \n",
|
||
"6995054 TRAIN_6995054 dekalbtool[.]com \n",
|
||
"6995055 TRAIN_6995055 helpinganimals[.]com \n",
|
||
"\n",
|
||
" label URL_clean \\\n",
|
||
"0 0 poznan.wuoz.gov.pl \n",
|
||
"1 0 vill.okawa.kochi.jp \n",
|
||
"2 0 nationalfinance.co.om \n",
|
||
"3 0 town.ozora.hokkaido.jp \n",
|
||
"4 1 open24.ie-news.irish/online/Login \n",
|
||
"... ... ... \n",
|
||
"6995051 0 ddht.co.kr \n",
|
||
"6995052 0 www.upstartepoxy.com \n",
|
||
"6995053 1 employeesalaryschedule70.000webhostapp.com/adb... \n",
|
||
"6995054 0 dekalbtool.com \n",
|
||
"6995055 0 helpinganimals.com \n",
|
||
"\n",
|
||
" digit_count dash_count underscore_count percent_count \\\n",
|
||
"0 0 0 0 0 \n",
|
||
"1 0 0 0 0 \n",
|
||
"2 0 0 0 0 \n",
|
||
"3 0 0 0 0 \n",
|
||
"4 2 1 0 0 \n",
|
||
"... ... ... ... ... \n",
|
||
"6995051 0 0 0 0 \n",
|
||
"6995052 0 0 0 0 \n",
|
||
"6995053 5 0 0 0 \n",
|
||
"6995054 0 0 0 0 \n",
|
||
"6995055 0 0 0 0 \n",
|
||
"\n",
|
||
" equal_count question_count ... has_www suspicious_word_count \\\n",
|
||
"0 0 0 ... False 0 \n",
|
||
"1 0 0 ... False 0 \n",
|
||
"2 0 0 ... False 0 \n",
|
||
"3 0 0 ... False 0 \n",
|
||
"4 0 0 ... False 1 \n",
|
||
"... ... ... ... ... ... \n",
|
||
"6995051 0 0 ... False 0 \n",
|
||
"6995052 0 0 ... True 0 \n",
|
||
"6995053 0 0 ... False 0 \n",
|
||
"6995054 0 0 ... False 0 \n",
|
||
"6995055 0 0 ... False 0 \n",
|
||
"\n",
|
||
" path_depth has_long_digit_sequence has_multiple_dash has_https \\\n",
|
||
"0 -2 False False False \n",
|
||
"1 -2 False False False \n",
|
||
"2 -2 False False False \n",
|
||
"3 -2 False False False \n",
|
||
"4 0 False False False \n",
|
||
"... ... ... ... ... \n",
|
||
"6995051 -2 False False False \n",
|
||
"6995052 -2 False False False \n",
|
||
"6995053 0 False False False \n",
|
||
"6995054 -2 False False False \n",
|
||
"6995055 -2 False False False \n",
|
||
"\n",
|
||
" count_of_exclamation count_of_dot ends_with_common_extension \\\n",
|
||
"0 0 3 False \n",
|
||
"1 0 3 False \n",
|
||
"2 0 2 False \n",
|
||
"3 0 3 False \n",
|
||
"4 0 2 False \n",
|
||
"... ... ... ... \n",
|
||
"6995051 0 2 False \n",
|
||
"6995052 0 2 False \n",
|
||
"6995053 0 2 False \n",
|
||
"6995054 0 1 False \n",
|
||
"6995055 0 1 False \n",
|
||
"\n",
|
||
" url_entropy \n",
|
||
"0 3.308271 \n",
|
||
"1 3.471354 \n",
|
||
"2 3.272804 \n",
|
||
"3 3.533771 \n",
|
||
"4 3.772450 \n",
|
||
"... ... \n",
|
||
"6995051 2.921928 \n",
|
||
"6995052 3.684184 \n",
|
||
"6995053 4.130881 \n",
|
||
"6995054 3.324863 \n",
|
||
"6995055 3.614369 \n",
|
||
"\n",
|
||
"[6995056 rows x 24 columns]"
|
||
]
|
||
},
|
||
"execution_count": 49,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"train_df"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 50,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"S = train_df.drop(['URL', 'URL_clean','ID'], axis=1) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 51,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" digit_count dash_count underscore_count percent_count \\\n",
|
||
"0 0 0 0 0 \n",
|
||
"1 0 0 0 0 \n",
|
||
"2 0 0 0 0 \n",
|
||
"3 0 0 0 0 \n",
|
||
"4 2 1 0 0 \n",
|
||
"... ... ... ... ... \n",
|
||
"6995051 0 0 0 0 \n",
|
||
"6995052 0 0 0 0 \n",
|
||
"6995053 5 0 0 0 \n",
|
||
"6995054 0 0 0 0 \n",
|
||
"6995055 0 0 0 0 \n",
|
||
"\n",
|
||
" equal_count question_count at_count is_ip_in_url \\\n",
|
||
"0 0 0 0 False \n",
|
||
"1 0 0 0 False \n",
|
||
"2 0 0 0 False \n",
|
||
"3 0 0 0 False \n",
|
||
"4 0 0 0 False \n",
|
||
"... ... ... ... ... \n",
|
||
"6995051 0 0 0 False \n",
|
||
"6995052 0 0 0 False \n",
|
||
"6995053 0 0 0 False \n",
|
||
"6995054 0 0 0 False \n",
|
||
"6995055 0 0 0 False \n",
|
||
"\n",
|
||
" special_char_count count_of_double_slash has_www \\\n",
|
||
"0 3 0 False \n",
|
||
"1 3 0 False \n",
|
||
"2 2 0 False \n",
|
||
"3 3 0 False \n",
|
||
"4 5 0 False \n",
|
||
"... ... ... ... \n",
|
||
"6995051 2 0 False \n",
|
||
"6995052 2 0 True \n",
|
||
"6995053 4 0 False \n",
|
||
"6995054 1 0 False \n",
|
||
"6995055 1 0 False \n",
|
||
"\n",
|
||
" suspicious_word_count path_depth has_long_digit_sequence \\\n",
|
||
"0 0 -2 False \n",
|
||
"1 0 -2 False \n",
|
||
"2 0 -2 False \n",
|
||
"3 0 -2 False \n",
|
||
"4 1 0 False \n",
|
||
"... ... ... ... \n",
|
||
"6995051 0 -2 False \n",
|
||
"6995052 0 -2 False \n",
|
||
"6995053 0 0 False \n",
|
||
"6995054 0 -2 False \n",
|
||
"6995055 0 -2 False \n",
|
||
"\n",
|
||
" has_multiple_dash has_https count_of_exclamation count_of_dot \\\n",
|
||
"0 False False 0 3 \n",
|
||
"1 False False 0 3 \n",
|
||
"2 False False 0 2 \n",
|
||
"3 False False 0 3 \n",
|
||
"4 False False 0 2 \n",
|
||
"... ... ... ... ... \n",
|
||
"6995051 False False 0 2 \n",
|
||
"6995052 False False 0 2 \n",
|
||
"6995053 False False 0 2 \n",
|
||
"6995054 False False 0 1 \n",
|
||
"6995055 False False 0 1 \n",
|
||
"\n",
|
||
" ends_with_common_extension url_entropy \n",
|
||
"0 False 3.308271 \n",
|
||
"1 False 3.471354 \n",
|
||
"2 False 3.272804 \n",
|
||
"3 False 3.533771 \n",
|
||
"4 False 3.772450 \n",
|
||
"... ... ... \n",
|
||
"6995051 False 2.921928 \n",
|
||
"6995052 False 3.684184 \n",
|
||
"6995053 False 4.130881 \n",
|
||
"6995054 False 3.324863 \n",
|
||
"6995055 False 3.614369 \n",
|
||
"\n",
|
||
"[6995056 rows x 20 columns]\n",
|
||
"0 0\n",
|
||
"1 0\n",
|
||
"2 0\n",
|
||
"3 0\n",
|
||
"4 1\n",
|
||
" ..\n",
|
||
"6995051 0\n",
|
||
"6995052 0\n",
|
||
"6995053 1\n",
|
||
"6995054 0\n",
|
||
"6995055 0\n",
|
||
"Name: label, Length: 6995056, dtype: int64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"y = train_df['label']\n",
|
||
"X = train_df.drop(['URL', 'URL_clean', 'label', 'ID'], axis=1, errors='ignore') \n",
|
||
"print(X)\n",
|
||
"print(y)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 52,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1500x1200 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"S.corr()\n",
|
||
"# 상관계수 행렬 계산\n",
|
||
"corr_matrix = S.corr()\n",
|
||
"\n",
|
||
"# 히트맵 시각화\n",
|
||
"plt.figure(figsize=(15, 12)) \n",
|
||
"sns.heatmap(corr_matrix, annot=True, fmt=\".2f\", cmap='coolwarm', linewidths=0.5)\n",
|
||
"plt.title(\"Correlation Heatmap\", fontsize=16)\n",
|
||
"plt.xticks(rotation=90, fontsize=8)\n",
|
||
"plt.yticks(fontsize=8)\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 53,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 600x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"from collections import Counter\n",
|
||
"\n",
|
||
"# y_train의 클래스 분포 시각화\n",
|
||
"plt.figure(figsize=(6,4))\n",
|
||
"plt.bar(*zip(*Counter(y).items())) # y_train의 클래스 값과 빈도수로 막대 그래프\n",
|
||
"plt.xlabel('Class')\n",
|
||
"plt.ylabel('Frequency')\n",
|
||
"plt.title('Class Distribution in y')\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 54,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from sklearn.model_selection import train_test_split\n",
|
||
"\n",
|
||
"\n",
|
||
"X_train, X_test, y_train, y_test = train_test_split(\n",
|
||
" X, y, test_size=0.2, random_state=42, stratify=y\n",
|
||
")\n",
|
||
"\n",
|
||
"\n",
|
||
"# # 2단계: 훈련셋에서 검증셋 분리\n",
|
||
"# X_train, X_val, y_train, y_val = train_test_split(\n",
|
||
"# X_train_full, y_train_full, test_size=0.2, random_state=42, stratify=y_train_full\n",
|
||
"# )\n",
|
||
"\n",
|
||
"# 스케일링\n",
|
||
"from sklearn.preprocessing import MinMaxScaler\n",
|
||
"scaler = MinMaxScaler()\n",
|
||
"X_train_scaled = scaler.fit_transform(X_train) \n",
|
||
"X_test_scaled = scaler.transform(X_test) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 55,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"After undersampling: Counter({0: 1251917, 1: 1251917})\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from imblearn.under_sampling import RandomUnderSampler\n",
|
||
"\n",
|
||
"# 언더샘플링 적용\n",
|
||
"rus = RandomUnderSampler(random_state=42)\n",
|
||
"\n",
|
||
"# X_train과 y_train을 언더샘플링하여 균형 맞추기\n",
|
||
"X_train_under, y_train_under = rus.fit_resample(X_train, y_train)\n",
|
||
"\n",
|
||
"# 언더샘플링 후 클래스 분포 확인\n",
|
||
"print(\"After undersampling:\", Counter(y_train_under))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 56,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 600x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 언더샘플링 후 클래스 분포 시각화\n",
|
||
"plt.figure(figsize=(6,4))\n",
|
||
"plt.bar(*zip(*Counter(y_train_under).items())) # 이게 핵심!\n",
|
||
"plt.xlabel('Class')\n",
|
||
"plt.ylabel('Frequency')\n",
|
||
"plt.title('Class Distribution in y_train (after undersampling)')\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 57,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# 스케일링\n",
|
||
"from sklearn.preprocessing import MinMaxScaler\n",
|
||
"scaler = MinMaxScaler()\n",
|
||
"X_train_scaled = scaler.fit_transform(X_train) \n",
|
||
"X_test_scaled = scaler.transform(X_test) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 63,
|
||
"metadata": {},
|
||
"outputs": [
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{
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"data": {
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"text/plain": [
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"(5596044, 20)"
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]
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},
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"execution_count": 63,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"X_train.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 64,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"text": [
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"C:\\Users\\human\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
|
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" super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
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]
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"data": {
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_2\"</span>\n",
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"</pre>\n"
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],
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"text/plain": [
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"\u001b[1mModel: \"sequential_2\"\u001b[0m\n"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
|
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"┃<span style=\"font-weight: bold\"> Layer (type) </span>┃<span style=\"font-weight: bold\"> Output Shape </span>┃<span style=\"font-weight: bold\"> Param # </span>┃\n",
|
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
|
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"│ dense_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1,344</span> │\n",
|
||
"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
|
||
"│ dense_7 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">2,080</span> │\n",
|
||
"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
|
||
"│ dense_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">33</span> │\n",
|
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"└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
|
||
"</pre>\n"
|
||
],
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"text/plain": [
|
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"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
|
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"┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
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"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
|
||
"│ dense_6 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m1,344\u001b[0m │\n",
|
||
"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
|
||
"│ dense_7 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m2,080\u001b[0m │\n",
|
||
"├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
|
||
"│ dense_8 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m33\u001b[0m │\n",
|
||
"└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
|
||
]
|
||
},
|
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"metadata": {},
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"output_type": "display_data"
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},
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"data": {
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">3,457</span> (13.50 KB)\n",
|
||
"</pre>\n"
|
||
],
|
||
"text/plain": [
|
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"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m3,457\u001b[0m (13.50 KB)\n"
|
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]
|
||
},
|
||
"metadata": {},
|
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"output_type": "display_data"
|
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},
|
||
{
|
||
"data": {
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"text/html": [
|
||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">3,457</span> (13.50 KB)\n",
|
||
"</pre>\n"
|
||
],
|
||
"text/plain": [
|
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"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m3,457\u001b[0m (13.50 KB)\n"
|
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]
|
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},
|
||
"metadata": {},
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"output_type": "display_data"
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},
|
||
{
|
||
"data": {
|
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"text/html": [
|
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
|
||
"</pre>\n"
|
||
],
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"text/plain": [
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"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"from tensorflow.keras.models import Sequential\n",
|
||
"from tensorflow.keras.layers import Dense\n",
|
||
"\n",
|
||
"# 모델 구성 \n",
|
||
"model = Sequential()\n",
|
||
"model.add(Dense(64, input_dim=X_train_scaled.shape[1], activation='relu')) # 첫번째 은닉층 노드 64개 input_dim=X_train.shape[1]: 입력피처 개수 설정 \n",
|
||
"model.add(Dense(32, activation='relu')) # 이진분류 두번쨰 은닉층 \n",
|
||
"model.add(Dense(1, activation='sigmoid'))\n",
|
||
"\n",
|
||
"# 모델 컴파일\n",
|
||
"from tensorflow.keras.optimizers import Adam\n",
|
||
"\n",
|
||
"optimizer = Adam(learning_rate=0.001)\n",
|
||
"model.compile(optimizer=optimizer, loss='binary_crossentropy', metrics=['accuracy'])\n",
|
||
"\n",
|
||
"model.summary()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 78,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# EarlyStopping 콜백을 사용하여 검증 손실이 개선되지 않으면 학습을 멈추도록 설정\n",
|
||
"from tensorflow.keras.callbacks import EarlyStopping\n",
|
||
"early_stopping = EarlyStopping(monitor='val_loss', patience=5)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 79,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"After undersampling: Counter({0: 1251917, 1: 1251917})\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from imblearn.under_sampling import RandomUnderSampler\n",
|
||
"\n",
|
||
"# 언더샘플링 적용\n",
|
||
"rus = RandomUnderSampler(random_state=42)\n",
|
||
"\n",
|
||
"# X_train과 y_train을 언더샘플링하여 균형 맞추기\n",
|
||
"X_train_under, y_train_under = rus.fit_resample(X_train, y_train)\n",
|
||
"\n",
|
||
"# 언더샘플링 후 클래스 분포 확인\n",
|
||
"print(\"After undersampling:\", Counter(y_train_under))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 80,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
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"data": {
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||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 600x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 언더샘플링 후 클래스 분포 시각화\n",
|
||
"plt.figure(figsize=(6,4))\n",
|
||
"plt.bar(*zip(*Counter(y_train_under).items())) # 이게 핵심!\n",
|
||
"plt.xlabel('Class')\n",
|
||
"plt.ylabel('Frequency')\n",
|
||
"plt.title('Class Distribution in y_train (after undersampling)')\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 91,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Epoch 1/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 2ms/step - accuracy: 0.8592 - loss: 0.3808 - val_accuracy: 0.8577 - val_loss: 0.3686\n",
|
||
"Epoch 2/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m19s\u001b[0m 2ms/step - accuracy: 0.8596 - loss: 0.3803 - val_accuracy: 0.8606 - val_loss: 0.3593\n",
|
||
"Epoch 3/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 2ms/step - accuracy: 0.8598 - loss: 0.3793 - val_accuracy: 0.8575 - val_loss: 0.3638\n",
|
||
"Epoch 4/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 3ms/step - accuracy: 0.8596 - loss: 0.3799 - val_accuracy: 0.8600 - val_loss: 0.3581\n",
|
||
"Epoch 5/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 3ms/step - accuracy: 0.8599 - loss: 0.3793 - val_accuracy: 0.8547 - val_loss: 0.3733\n",
|
||
"Epoch 6/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 2ms/step - accuracy: 0.8601 - loss: 0.3799 - val_accuracy: 0.8580 - val_loss: 0.3647\n",
|
||
"Epoch 7/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m39s\u001b[0m 2ms/step - accuracy: 0.8601 - loss: 0.3795 - val_accuracy: 0.8590 - val_loss: 0.3653\n",
|
||
"Epoch 8/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 2ms/step - accuracy: 0.8601 - loss: 0.3796 - val_accuracy: 0.8603 - val_loss: 0.3598\n",
|
||
"Epoch 9/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 2ms/step - accuracy: 0.8604 - loss: 0.3792 - val_accuracy: 0.8574 - val_loss: 0.3635\n",
|
||
"Epoch 10/10\n",
|
||
"\u001b[1m8744/8744\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 2ms/step - accuracy: 0.8604 - loss: 0.3786 - val_accuracy: 0.8630 - val_loss: 0.3525\n",
|
||
"\u001b[1m43720/43720\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m61s\u001b[0m 1ms/step - accuracy: 0.8637 - loss: 0.3514\n",
|
||
"Validation Accuracy: 0.8635\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from sklearn.utils import class_weight\n",
|
||
"\n",
|
||
"\n",
|
||
"# 클래스 가중치 계산 (불균형 보정)\n",
|
||
"weights = class_weight.compute_class_weight(\n",
|
||
" class_weight='balanced',\n",
|
||
" classes=np.unique(y_train),\n",
|
||
" y=y_train\n",
|
||
")\n",
|
||
"class_weights = dict(zip(np.unique(y_train), weights))\n",
|
||
"\n",
|
||
"# 모델 학습 (스케일링된 데이터 사용 + 클래스 가중치 적용)\n",
|
||
"history = model.fit(\n",
|
||
" X_train_scaled, y_train, # ← 스케일링된 훈련 데이터\n",
|
||
" epochs=10,\n",
|
||
" batch_size=512,\n",
|
||
" validation_split = 0.2,\n",
|
||
" class_weight = class_weights\n",
|
||
")\n",
|
||
"\n",
|
||
"# 모델 평가\n",
|
||
"from sklearn.metrics import accuracy_score\n",
|
||
"val_loss, val_accuracy = model.evaluate(X_test_scaled, y_test)\n",
|
||
"print(f'Validation Accuracy: {val_accuracy:.4f}')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 92,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\u001b[1m174877/174877\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m155s\u001b[0m 889us/step\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 검증 데이터에 대한 예측 확률을 먼저 계산 \n",
|
||
"y_train_proba = model.predict(X_train_scaled)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 93,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from sklearn.metrics import f1_score, accuracy_score\n",
|
||
"\n",
|
||
"f1_scores = []\n",
|
||
"accuracies = []\n",
|
||
"thresholds = []\n",
|
||
"\n",
|
||
"\n",
|
||
"# threshold 범위 0.00 ~ 0.99\n",
|
||
"for t in [i * 0.01 for i in range(100)]:\n",
|
||
" y_pred = (y_train_proba > t).astype(int)\n",
|
||
" try:\n",
|
||
" f1 = f1_score(y_train, y_pred)\n",
|
||
" acc = accuracy_score(y_train, y_pred)\n",
|
||
"\n",
|
||
" thresholds.append(t)\n",
|
||
" f1_scores.append(f1)\n",
|
||
" accuracies.append(acc)\n",
|
||
" except:\n",
|
||
" continue\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 95,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Best Threshold(임계값): 0.66\n",
|
||
"Best F1 Score(재현율): 0.7320\n",
|
||
"Accuracy at Best Threshold: 0.8826\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 최고 F1 점수 기준 인덱스\n",
|
||
"best_idx = f1_scores.index(max(f1_scores))\n",
|
||
"best_threshold = thresholds[best_idx]\n",
|
||
"best_f1 = f1_scores[best_idx]\n",
|
||
"best_acc = accuracies[best_idx] \n",
|
||
"\n",
|
||
"print(f\"Best Threshold(임계값): {best_threshold:.2f}\")\n",
|
||
"print(f\"Best F1 Score(재현율): {best_f1:.4f}\")\n",
|
||
"print(f\"Accuracy at Best Threshold: {best_acc:.4f}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 96,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.figure(figsize=(10, 5))\n",
|
||
"plt.plot(thresholds, f1_scores, label='F1 Score', color='blue')\n",
|
||
"plt.plot(thresholds, accuracies, label='Accuracy', color='green')\n",
|
||
"plt.axvline(x=best_threshold, color='red', linestyle='--', label=f'Best Threshold: {best_threshold:0.2f}')\n",
|
||
"plt.xlabel(\"Threshold\")\n",
|
||
"plt.ylabel(\"Score\")\n",
|
||
"plt.title(\"F1 Score & Accuracy by Threshold\")\n",
|
||
"plt.legend()\n",
|
||
"plt.grid(True)\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 97,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Test Accuracy (threshold=0.66): 0.8750732659905704\n",
|
||
"Test ROC AUC: 0.7371575316915601\n",
|
||
"Test Precision: 0.9138102424068218\n",
|
||
"Test Recall: 0.48756789571218606\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 확률을 threshold 기준으로 0/1 변환\n",
|
||
"y_test_pred = (y_test_proba > 0.66).astype(int)\n",
|
||
"\n",
|
||
"# 3. 정확도 및 AUC + precision + recall 계산\n",
|
||
"from sklearn.metrics import accuracy_score, roc_auc_score, precision_score, recall_score\n",
|
||
"\n",
|
||
"print(f\"Test Accuracy (threshold={best_threshold:.2f}):\", accuracy_score(y_test, y_test_pred))\n",
|
||
"print(\"Test ROC AUC:\", roc_auc_score(y_test, y_test_pred))\n",
|
||
"print(\"Test Precision:\", precision_score(y_test, y_test_pred))\n",
|
||
"print(\"Test Recall:\", recall_score(y_test, y_test_pred))\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 98,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Classification Report:\n",
|
||
"\n",
|
||
" precision recall f1-score support\n",
|
||
"\n",
|
||
" 0 0.87 0.99 0.92 1086032\n",
|
||
" 1 0.91 0.49 0.64 312980\n",
|
||
"\n",
|
||
" accuracy 0.88 1399012\n",
|
||
" macro avg 0.89 0.74 0.78 1399012\n",
|
||
"weighted avg 0.88 0.88 0.86 1399012\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"from sklearn.metrics import classification_report, ConfusionMatrixDisplay\n",
|
||
"\n",
|
||
"\n",
|
||
"# 평가 지표 출력\n",
|
||
"print(\"Classification Report:\\n\")\n",
|
||
"print(classification_report(y_test, y_test_pred))\n",
|
||
"\n",
|
||
"# 혼동 행렬 시각화\n",
|
||
"ConfusionMatrixDisplay.from_predictions(y_test, y_test_pred, cmap='Purples')\n",
|
||
"plt.title(\"Confusion Matrix\")\n",
|
||
"plt.show()\n"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.11.9"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|