{ "cells": [ { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "#! pip install tensorflow\n", "#! pip install scikit-learn\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns \n" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "train_df = pd.read_csv(\"train.csv\")" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 poznan.wuoz.gov.pl\n", "1 vill.okawa.kochi.jp\n", "2 nationalfinance.co.om\n", "3 town.ozora.hokkaido.jp\n", "4 open24.ie-news.irish/online/Login\n", " ... \n", "6995051 ddht.co.kr\n", "6995052 www.upstartepoxy.com\n", "6995053 employeesalaryschedule70.000webhostapp.com/adb...\n", "6995054 dekalbtool.com\n", "6995055 helpinganimals.com\n", "Name: URL_clean, Length: 6995056, dtype: object" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 대괄호 [ ] 제거\n", "train_df['URL_clean'] = train_df['URL'].str.replace(r'[\\[\\]]', '', regex=True)\n", "train_df[\"URL_clean\"]" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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IDURLlabelURL_clean
0TRAIN_0000000poznan[.]wuoz[.]gov[.]pl0poznan.wuoz.gov.pl
1TRAIN_0000001vill[.]okawa[.]kochi[.]jp0vill.okawa.kochi.jp
2TRAIN_0000002nationalfinance[.]co[.]om0nationalfinance.co.om
3TRAIN_0000003town[.]ozora[.]hokkaido[.]jp0town.ozora.hokkaido.jp
4TRAIN_0000004open24[.]ie-news[.]irish/online/Login1open24.ie-news.irish/online/Login
...............
6995051TRAIN_6995051ddht[.]co[.]kr0ddht.co.kr
6995052TRAIN_6995052www[.]upstartepoxy[.]com0www.upstartepoxy.com
6995053TRAIN_6995053employeesalaryschedule70[.]000webhostapp[.]com...1employeesalaryschedule70.000webhostapp.com/adb...
6995054TRAIN_6995054dekalbtool[.]com0dekalbtool.com
6995055TRAIN_6995055helpinganimals[.]com0helpinganimals.com
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6995056 rows × 4 columns

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" ], "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", "[6995056 rows x 4 columns]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_df" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "import re\n", "\n", "# URL 전처리 (특징 생성)\n", "train_df['digit_count'] = train_df['URL_clean'].str.count(r'\\d')\n", "train_df['dash_count'] = train_df['URL_clean'].str.count(r'-')\n", "train_df['underscore_count'] = train_df['URL_clean'].str.count(r'_')\n", "train_df['percent_count'] = train_df['URL_clean'].str.count(r'%')\n", "train_df['equal_count'] = train_df['URL_clean'].str.count(r'=')\n", "train_df['question_count'] = train_df['URL_clean'].str.count(r'\\?')\n", "train_df['at_count'] = train_df['URL_clean'].str.count(r'@')\n", "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", "train_df['special_char_count'] = train_df['URL_clean'].str.count(r'[^a-zA-Z0-9]')\n", "train_df['count_of_double_slash'] = train_df['URL_clean'].str.count(r'//')\n", "\n", "# www 포함 여부\n", "train_df['has_www'] = train_df['URL_clean'].str.contains('www')\n", "\n", "# suspicious word 포함 여부\n", "suspicious_words = ['login', 'verify', 'update', 'confirm', 'account', 'secure', 'ebayisapi', 'banking']\n", "train_df['suspicious_word_count'] = train_df['URL_clean'].apply(\n", " lambda x: sum(word in x.lower() for word in suspicious_words)\n", ")\n", "# path 깊이\n", "train_df['path_depth'] = train_df['URL_clean'].str.count(r'/') - 2\n", "\n", "# 숫자 연속 등장 여부\n", "train_df['has_long_digit_sequence'] = train_df['URL_clean'].str.contains(r'\\d{4,}')\n", "# 하이픈 연속 등장 여부\n", "train_df['has_multiple_dash'] = train_df['URL_clean'].str.contains(r'-{2,}')\n" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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IDURLlabelURL_cleandigit_countdash_countunderscore_countpercent_countequal_countquestion_countat_countis_ip_in_urlspecial_char_countcount_of_double_slashhas_wwwsuspicious_word_countpath_depthhas_long_digit_sequencehas_multiple_dash
0TRAIN_0000000poznan[.]wuoz[.]gov[.]pl0poznan.wuoz.gov.pl0000000False30False0-2FalseFalse
1TRAIN_0000001vill[.]okawa[.]kochi[.]jp0vill.okawa.kochi.jp0000000False30False0-2FalseFalse
2TRAIN_0000002nationalfinance[.]co[.]om0nationalfinance.co.om0000000False20False0-2FalseFalse
3TRAIN_0000003town[.]ozora[.]hokkaido[.]jp0town.ozora.hokkaido.jp0000000False30False0-2FalseFalse
4TRAIN_0000004open24[.]ie-news[.]irish/online/Login1open24.ie-news.irish/online/Login2100000False50False10FalseFalse
............................................................
6995051TRAIN_6995051ddht[.]co[.]kr0ddht.co.kr0000000False20False0-2FalseFalse
6995052TRAIN_6995052www[.]upstartepoxy[.]com0www.upstartepoxy.com0000000False20True0-2FalseFalse
6995053TRAIN_6995053employeesalaryschedule70[.]000webhostapp[.]com...1employeesalaryschedule70.000webhostapp.com/adb...5000000False40False00FalseFalse
6995054TRAIN_6995054dekalbtool[.]com0dekalbtool.com0000000False10False0-2FalseFalse
6995055TRAIN_6995055helpinganimals[.]com0helpinganimals.com0000000False10False0-2FalseFalse
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6995056 rows × 19 columns

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" ], "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 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 \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 19 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_df" ] }, { "cell_type": "code", "execution_count": 22, "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": 23, "metadata": {}, "outputs": [], "source": [ "train_df['url_entropy'] = train_df['URL_clean'].apply(calculate_entropy)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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IDURLlabelURL_cleandigit_countdash_countunderscore_countpercent_countequal_countquestion_countat_countis_ip_in_urlspecial_char_countcount_of_double_slashhas_wwwsuspicious_word_countpath_depthhas_long_digit_sequencehas_multiple_dashurl_entropy
0TRAIN_0000000poznan[.]wuoz[.]gov[.]pl0poznan.wuoz.gov.pl0000000False30False0-2FalseFalse3.308271
1TRAIN_0000001vill[.]okawa[.]kochi[.]jp0vill.okawa.kochi.jp0000000False30False0-2FalseFalse3.471354
2TRAIN_0000002nationalfinance[.]co[.]om0nationalfinance.co.om0000000False20False0-2FalseFalse3.272804
3TRAIN_0000003town[.]ozora[.]hokkaido[.]jp0town.ozora.hokkaido.jp0000000False30False0-2FalseFalse3.533771
4TRAIN_0000004open24[.]ie-news[.]irish/online/Login1open24.ie-news.irish/online/Login2100000False50False10FalseFalse3.772450
...............................................................
6995051TRAIN_6995051ddht[.]co[.]kr0ddht.co.kr0000000False20False0-2FalseFalse2.921928
6995052TRAIN_6995052www[.]upstartepoxy[.]com0www.upstartepoxy.com0000000False20True0-2FalseFalse3.684184
6995053TRAIN_6995053employeesalaryschedule70[.]000webhostapp[.]com...1employeesalaryschedule70.000webhostapp.com/adb...5000000False40False00FalseFalse4.130881
6995054TRAIN_6995054dekalbtool[.]com0dekalbtool.com0000000False10False0-2FalseFalse3.324863
6995055TRAIN_6995055helpinganimals[.]com0helpinganimals.com0000000False10False0-2FalseFalse3.614369
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6995056 rows × 20 columns

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" ], "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 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 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]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_df" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "S = train_df.drop(['URL', 'URL_clean','ID'], axis=1) " ] }, { "cell_type": "code", "execution_count": 26, "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 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 16 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": 27, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "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": null, "metadata": {}, "outputs": [], "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": 50, "metadata": {}, "outputs": [], "source": [ "# from sklearn.preprocessing import MinMaxScaler\n", "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", "\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", "\n", "# # 동일 기준으로 필터링 적용\n", "# X_train_filtered = train_df.loc[:, ~high_zero_cols]\n", "# X_val_filtered = X_val_df.loc[:, ~high_zero_cols]\n", "# X_test_filtered = X_test_df.loc[:, ~high_zero_cols]\n", "\n", "# # 6. 스케일링\n", "# scaler = MinMaxScaler()\n", "# X_train_scaled = scaler.fit_transform(X_train_filtered)\n", "# X_val_scaled = scaler.transform(X_val_filtered)\n", "# X_test_scaled = scaler.transform(X_test_filtered)" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "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", " super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n" ] }, { "data": { "text/html": [ "
Model: \"sequential_1\"\n",
       "
\n" ], "text/plain": [ "\u001b[1mModel: \"sequential_1\"\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ dense_3 (Dense)                 │ (None, 64)             │         1,088 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_4 (Dense)                 │ (None, 32)             │         2,080 │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_5 (Dense)                 │ (None, 1)              │            33 │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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\n" ], "text/plain": [ "\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=16, 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": 52, "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=20)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "# X_val = pd.DataFrame(X_val, columns=X_numeric.columns)\n", "# # high_zero_cols를 X_val에 맞춰 정렬\n", "# high_zero_cols_aligned = high_zero_cols.reindex(X_val.columns, fill_value=False)\n", "# # 재정렬된 기준으로 희소 컬럼 제거\n", "# X_val_filtered = X_val.loc[:, ~high_zero_cols_aligned]\n" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "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": 34, "metadata": {}, "outputs": [], "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": 54, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m36s\u001b[0m 2ms/step - accuracy: 0.8761 - loss: 0.3071\n", "Epoch 2/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m36s\u001b[0m 2ms/step - accuracy: 0.8840 - loss: 0.2921\n", "Epoch 3/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m34s\u001b[0m 2ms/step - accuracy: 0.8852 - loss: 0.2902\n", "Epoch 4/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 2ms/step - accuracy: 0.8859 - loss: 0.2888\n", "Epoch 5/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m34s\u001b[0m 2ms/step - accuracy: 0.8866 - loss: 0.2877\n", "Epoch 6/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 2ms/step - accuracy: 0.8871 - loss: 0.2872\n", "Epoch 7/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 2ms/step - accuracy: 0.8870 - loss: 0.2869\n", "Epoch 8/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m34s\u001b[0m 2ms/step - accuracy: 0.8880 - loss: 0.2855\n", "Epoch 9/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m34s\u001b[0m 2ms/step - accuracy: 0.8877 - loss: 0.2859\n", "Epoch 10/10\n", "\u001b[1m21860/21860\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m34s\u001b[0m 2ms/step - accuracy: 0.8881 - loss: 0.2853\n", "\u001b[1m43720/43720\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 1ms/step - accuracy: 0.8882 - loss: 0.2849\n", "Validation Accuracy: 0.8884\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, y_train, # ← 스케일링된 훈련 데이터\n", " epochs=10,\n", " batch_size=256,\n", ")\n", "\n", "# 모델 평가\n", "from sklearn.metrics import accuracy_score\n", "val_loss, val_accuracy = model.evaluate(X_test, y_test)\n", "print(f'Validation Accuracy: {val_accuracy:.4f}')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m174877/174877\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m136s\u001b[0m 778us/step\n" ] } ], "source": [ "# 검증 데이터에 대한 예측 확률을 먼저 계산 \n", "y_train_proba = model.predict(X_train)" ] }, { "cell_type": "code", "execution_count": 56, "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": 57, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best Threshold: 0.37\n", "Best F1 Score: 0.7306\n", "Accuracy at Best Threshold: 0.8806\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: {best_threshold:.2f}\")\n", "\n", "print(f\"Best F1 Score: {best_f1:.4f}\")\n", "print(f\"Accuracy at Best Threshold: {best_acc:.4f}\")" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "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": null, "metadata": {}, "outputs": [], "source": [ "# # 테스트 데이터 확률 예측 (스케일링된 데이터 사용!)\n", "# y_test_proba = model.predict(X_test).ravel()\n", "\n", "# # 최적 threshold로 이진 분류\n", "# y_test_pred = (y_test_proba > best_threshold).astype(int)\n" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m43720/43720\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 727us/step\n", "Test Accuracy (threshold=0.37): 0.8817000854889022\n", "Test ROC AUC: 0.901789635724033\n" ] } ], "source": [ "# 1. 테스트 데이터 확률 예측\n", "y_test_proba = model.predict(X_test) \n", "\n", "# 2. 확률을 threshold 기준으로 0/1 변환\n", "y_test_pred = (y_test_proba > 0.37).astype(int)\n", "\n", "# 3. 정확도 및 AUC 계산\n", "from sklearn.metrics import accuracy_score, roc_auc_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_proba))\n" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Classification Report:\n", "\n", " precision recall f1-score support\n", "\n", " 0 0.92 0.93 0.92 1086032\n", " 1 0.75 0.72 0.73 312980\n", "\n", " accuracy 0.88 1399012\n", " macro avg 0.83 0.82 0.83 1399012\n", "weighted avg 0.88 0.88 0.88 1399012\n", "\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sklearn.metrics import classification_report, ConfusionMatrixDisplay\n", "\n", "\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 }