{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#! pip install tensorflow\n",
    "#! pip install scikit-learn\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "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": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv(\"train.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 대괄호 [ ] 제거\n",
    "train['URL_clean'] = train['URL'].str.replace(r'[\\[\\]]', '', regex=True)\n",
    "train[\"URL_clean\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>label</th>\n",
       "      <th>URL_clean</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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6995056 rows × 4 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",
       "[6995056 rows x 4 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": [
    "import re\n",
    "\n",
    "train['dot_count'] = train['URL_clean'].str.count(r'\\.')\n",
    "train['digit_count'] = train['URL_clean'].str.count(r'\\d')\n",
    "train['alpha_count'] = train['URL_clean'].str.count(r'[a-zA-Z]')\n",
    "train['dash_count'] = train['URL_clean'].str.count(r'-')\n",
    "train['underscore_count'] = train['URL_clean'].str.count(r'_')\n",
    "train['digit_count'] = train['URL_clean'].str.count(r'\\d')\n",
    "train['percent_count'] = train['URL_clean'].str.count(r'%')\n",
    "train['equal_count'] = train['URL_clean'].str.count(r'=')\n",
    "train['question_count'] = train['URL_clean'].str.count(r'\\?')\n",
    "train['at_count'] = train['URL_clean'].str.count(r'@')\n",
    "train['subdomain_count'] = train['URL_clean'].str.count(r'\\.')\n",
    "train['length_of_url'] = train['URL_clean'].str.len()\n",
    "train['path_length'] = train['URL_clean'].str.extract(r'https?://[^/]+(/.*)')[0].str.len()\n",
    "train['top_level_domain_count'] = train['URL_clean'].str.count(r'\\.[a-zA-Z]{2,}')\n",
    "train['is_ip_in_url'] = train['URL_clean'].apply(lambda x: bool(re.search(r'\\b(?:\\d{1,3}\\.){3}\\d{1,3}\\b', x)))\n",
    "train['special_char_count'] = train['URL_clean'].str.count(r'[^a-zA-Z0-9]')\n",
    "train['count_of_double_slash'] = train['URL_clean'].str.count(r'//')\n",
    "train['subdomain_to_domain_ratio'] = train['subdomain_count'] / (train['dot_count'] + 1)\n",
    "train['url_entropy'] = train['URL_clean'].apply(calculate_entropy)\n",
    "# www 포함 여부\n",
    "train['has_www'] = train['URL_clean'].str.contains('www')\n",
    "# suspicious word 포함 여부\n",
    "suspicious_words = ['login', 'verify', 'update', 'confirm', 'account', 'secure', 'ebayisapi', 'banking']\n",
    "train['suspicious_word_count'] = train['URL_clean'].apply(lambda x: sum(word in x.lower() for word in suspicious_words))\n",
    "# 숫자 비율 (전체 길이 대비)\n",
    "train['digit_ratio'] = train['digit_count'] / (train['length_of_url'] + 1)\n",
    "# 알파벳 비율\n",
    "train['alpha_ratio'] = train['alpha_count'] / (train['length_of_url'] + 1)\n",
    "# 특수문자 비율\n",
    "train['special_ratio'] = train['special_char_count'] / (train['length_of_url'] + 1)\n",
    "# path 깊이 (슬래시 개수 기반)\n",
    "train['path_depth'] = train['URL_clean'].str.count(r'/') - 2  # 도메인 뒤의 / 개수 (http:// 제외)\n",
    "# 도메인 길이 (host만 추출해서)\n",
    "train['domain_length'] = train['URL_clean'].str.extract(r'https?://([^/]+)')[0].str.len()\n",
    "# 숫자 연속 등장 (ex: 1234 같은 경우)\n",
    "train['has_long_digit_sequence'] = train['URL_clean'].str.contains(r'\\d{4,}')\n",
    "# 하이픈 연속 등장 여부\n",
    "train['has_multiple_dash'] = train['URL_clean'].str.contains(r'-{2,}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>label</th>\n",
       "      <th>URL_clean</th>\n",
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       "      <th>has_www</th>\n",
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       "      <th>alpha_ratio</th>\n",
       "      <th>special_ratio</th>\n",
       "      <th>path_depth</th>\n",
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       "      <th>has_long_digit_sequence</th>\n",
       "      <th>has_multiple_dash</th>\n",
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       "      <th>0</th>\n",
       "      <td>TRAIN_0000000</td>\n",
       "      <td>poznan[.]wuoz[.]gov[.]pl</td>\n",
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       "      <td>vill[.]okawa[.]kochi[.]jp</td>\n",
       "      <td>0</td>\n",
       "      <td>vill.okawa.kochi.jp</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>False</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.150000</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.272804</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.863636</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</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>3</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.533771</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.826087</td>\n",
       "      <td>0.130435</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</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>2</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.772450</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.764706</td>\n",
       "      <td>0.147059</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.921928</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.684184</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.857143</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</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>2</td>\n",
       "      <td>5</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.130881</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0.098039</td>\n",
       "      <td>0.803922</td>\n",
       "      <td>0.078431</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.324863</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.614369</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.894737</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6995056 rows × 32 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  dot_count  \\\n",
       "0            0                                 poznan.wuoz.gov.pl          3   \n",
       "1            0                                vill.okawa.kochi.jp          3   \n",
       "2            0                              nationalfinance.co.om          2   \n",
       "3            0                             town.ozora.hokkaido.jp          3   \n",
       "4            1                  open24.ie-news.irish/online/Login          2   \n",
       "...        ...                                                ...        ...   \n",
       "6995051      0                                         ddht.co.kr          2   \n",
       "6995052      0                               www.upstartepoxy.com          2   \n",
       "6995053      1  employeesalaryschedule70.000webhostapp.com/adb...          2   \n",
       "6995054      0                                     dekalbtool.com          1   \n",
       "6995055      0                                 helpinganimals.com          1   \n",
       "\n",
       "         digit_count  alpha_count  dash_count  underscore_count  \\\n",
       "0                  0           15           0                 0   \n",
       "1                  0           16           0                 0   \n",
       "2                  0           19           0                 0   \n",
       "3                  0           19           0                 0   \n",
       "4                  2           26           1                 0   \n",
       "...              ...          ...         ...               ...   \n",
       "6995051            0            8           0                 0   \n",
       "6995052            0           18           0                 0   \n",
       "6995053            5           41           0                 0   \n",
       "6995054            0           13           0                 0   \n",
       "6995055            0           17           0                 0   \n",
       "\n",
       "         percent_count  ...  url_entropy  has_www  suspicious_word_count  \\\n",
       "0                    0  ...     3.308271    False                      0   \n",
       "1                    0  ...     3.471354    False                      0   \n",
       "2                    0  ...     3.272804    False                      0   \n",
       "3                    0  ...     3.533771    False                      0   \n",
       "4                    0  ...     3.772450    False                      1   \n",
       "...                ...  ...          ...      ...                    ...   \n",
       "6995051              0  ...     2.921928    False                      0   \n",
       "6995052              0  ...     3.684184     True                      0   \n",
       "6995053              0  ...     4.130881    False                      0   \n",
       "6995054              0  ...     3.324863    False                      0   \n",
       "6995055              0  ...     3.614369    False                      0   \n",
       "\n",
       "         digit_ratio  alpha_ratio special_ratio  path_depth  domain_length  \\\n",
       "0           0.000000     0.789474      0.157895          -2            NaN   \n",
       "1           0.000000     0.800000      0.150000          -2            NaN   \n",
       "2           0.000000     0.863636      0.090909          -2            NaN   \n",
       "3           0.000000     0.826087      0.130435          -2            NaN   \n",
       "4           0.058824     0.764706      0.147059           0            NaN   \n",
       "...              ...          ...           ...         ...            ...   \n",
       "6995051     0.000000     0.727273      0.181818          -2            NaN   \n",
       "6995052     0.000000     0.857143      0.095238          -2            NaN   \n",
       "6995053     0.098039     0.803922      0.078431           0            NaN   \n",
       "6995054     0.000000     0.866667      0.066667          -2            NaN   \n",
       "6995055     0.000000     0.894737      0.052632          -2            NaN   \n",
       "\n",
       "         has_long_digit_sequence  has_multiple_dash  \n",
       "0                          False              False  \n",
       "1                          False              False  \n",
       "2                          False              False  \n",
       "3                          False              False  \n",
       "4                          False              False  \n",
       "...                          ...                ...  \n",
       "6995051                    False              False  \n",
       "6995052                    False              False  \n",
       "6995053                    False              False  \n",
       "6995054                    False              False  \n",
       "6995055                    False              False  \n",
       "\n",
       "[6995056 rows x 32 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "features = [col for col in train.columns if col not in ['URL_clean']]\n",
    "X = train[features]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>URL</th>\n",
       "      <th>label</th>\n",
       "      <th>dot_count</th>\n",
       "      <th>digit_count</th>\n",
       "      <th>alpha_count</th>\n",
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       "      <th>path_depth</th>\n",
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       "      <th>has_long_digit_sequence</th>\n",
       "      <th>has_multiple_dash</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",
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       "      <th>1</th>\n",
       "      <td>TRAIN_0000001</td>\n",
       "      <td>vill[.]okawa[.]kochi[.]jp</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.150000</td>\n",
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       "      <td>False</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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.272804</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.863636</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</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>3</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.533771</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.826087</td>\n",
       "      <td>0.130435</td>\n",
       "      <td>-2</td>\n",
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       "      <td>False</td>\n",
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       "    <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>2</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.058824</td>\n",
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       "      <td>0.147059</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <th>6995051</th>\n",
       "      <td>TRAIN_6995051</td>\n",
       "      <td>ddht[.]co[.]kr</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>6995052</th>\n",
       "      <td>TRAIN_6995052</td>\n",
       "      <td>www[.]upstartepoxy[.]com</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>True</td>\n",
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       "      <td>0.095238</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</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>2</td>\n",
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       "      <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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.324863</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
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       "      <td>-2</td>\n",
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       "      <td>False</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.614369</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.894737</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>-2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6995056 rows × 31 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  dot_count  digit_count  alpha_count  dash_count  \\\n",
       "0            0          3            0           15           0   \n",
       "1            0          3            0           16           0   \n",
       "2            0          2            0           19           0   \n",
       "3            0          3            0           19           0   \n",
       "4            1          2            2           26           1   \n",
       "...        ...        ...          ...          ...         ...   \n",
       "6995051      0          2            0            8           0   \n",
       "6995052      0          2            0           18           0   \n",
       "6995053      1          2            5           41           0   \n",
       "6995054      0          1            0           13           0   \n",
       "6995055      0          1            0           17           0   \n",
       "\n",
       "         underscore_count  percent_count  equal_count  ...  url_entropy  \\\n",
       "0                       0              0            0  ...     3.308271   \n",
       "1                       0              0            0  ...     3.471354   \n",
       "2                       0              0            0  ...     3.272804   \n",
       "3                       0              0            0  ...     3.533771   \n",
       "4                       0              0            0  ...     3.772450   \n",
       "...                   ...            ...          ...  ...          ...   \n",
       "6995051                 0              0            0  ...     2.921928   \n",
       "6995052                 0              0            0  ...     3.684184   \n",
       "6995053                 0              0            0  ...     4.130881   \n",
       "6995054                 0              0            0  ...     3.324863   \n",
       "6995055                 0              0            0  ...     3.614369   \n",
       "\n",
       "         has_www  suspicious_word_count  digit_ratio alpha_ratio  \\\n",
       "0          False                      0     0.000000    0.789474   \n",
       "1          False                      0     0.000000    0.800000   \n",
       "2          False                      0     0.000000    0.863636   \n",
       "3          False                      0     0.000000    0.826087   \n",
       "4          False                      1     0.058824    0.764706   \n",
       "...          ...                    ...          ...         ...   \n",
       "6995051    False                      0     0.000000    0.727273   \n",
       "6995052     True                      0     0.000000    0.857143   \n",
       "6995053    False                      0     0.098039    0.803922   \n",
       "6995054    False                      0     0.000000    0.866667   \n",
       "6995055    False                      0     0.000000    0.894737   \n",
       "\n",
       "         special_ratio  path_depth  domain_length  has_long_digit_sequence  \\\n",
       "0             0.157895          -2            NaN                    False   \n",
       "1             0.150000          -2            NaN                    False   \n",
       "2             0.090909          -2            NaN                    False   \n",
       "3             0.130435          -2            NaN                    False   \n",
       "4             0.147059           0            NaN                    False   \n",
       "...                ...         ...            ...                      ...   \n",
       "6995051       0.181818          -2            NaN                    False   \n",
       "6995052       0.095238          -2            NaN                    False   \n",
       "6995053       0.078431           0            NaN                    False   \n",
       "6995054       0.066667          -2            NaN                    False   \n",
       "6995055       0.052632          -2            NaN                    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 31 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = train['label']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ID               object\n",
      "URL              object\n",
      "URL_clean        object\n",
      "path_length      object\n",
      "domain_length    object\n",
      "dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(train.dtypes[train.dtypes == 'object'])  # 문자열 컬럼 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# bool 컬럼들을 int로 변환\n",
    "bool_cols = [\n",
    "    'has_www', 'is_ip_in_url',\n",
    "    'has_long_digit_sequence', 'has_multiple_dash'\n",
    "]\n",
    "\n",
    "for col in bool_cols:\n",
    "    if col in train.columns:\n",
    "        train[col] = train[col].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 1. 숫자형 컬럼만 가져오고 has_https, label 포함\n",
    "features = [col for col in train.columns \n",
    "            if train[col].dtype in ['int64', 'float64'] \n",
    "            and col not in ['has_https']]\n",
    "\n",
    "# 2. 상관계수 계산\n",
    "corr_df = train[features].corr()\n",
    "\n",
    "\n",
    "# 4. 히트맵 그리기\n",
    "plt.figure(figsize=(15, 12))\n",
    "sns.heatmap(data=corr_df, annot=True, cmap='coolwarm', fmt=\".2f\", linewidths=0.5)\n",
    "plt.title(\"Feature Correlation Heatmap\", fontsize=14)\n",
    "plt.xticks(rotation=90)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "# 정규화로 변경\n",
    "scaler = MinMaxScaler()\n",
    "X_scaled = scaler.fit_transform(X)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# 1단계: 전체에서 테스트 세트 먼저 떼어내기 (20%)\n",
    "X_train_full, X_test, y_train_full, y_test = train_test_split(\n",
    "    X_scaled, y, test_size=0.2, random_state=42, stratify=y\n",
    ")\n",
    "\n",
    "# 2단계: 남은 80% 중에서 훈련 / 검증으로 다시 나누기 (검증 20% = 전체의 16%)\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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "# input_dim 자동 설정\n",
    "model = Sequential()\n",
    "model.add(Dense(64, input_dim=X_scaled.shape[1], activation='relu'))\n",
    "model.add(Dense(32, activation='relu'))\n",
    "model.add(Dense(1, activation='sigmoid'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 모델 컴파일\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "\n",
    "optimizer = Adam(learning_rate=0.0001)\n",
    "model.compile(optimizer=optimizer, loss='binary_crossentropy', metrics=['accuracy'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Exception encountered when calling Sequential.call().\n\n\u001b[1mInput 0 of layer \"dense\" is incompatible with the layer: expected axis -1 of input shape to have value 10, but received input with shape (None, 9)\u001b[0m\n\nArguments received by Sequential.call():\n  • inputs=tf.Tensor(shape=(None, 9), dtype=float32)\n  • training=False\n  • mask=None",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mValueError\u001b[39m                                Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[20]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m      1\u001b[39m \u001b[38;5;66;03m# 모델 평가\u001b[39;00m\n\u001b[32m      2\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01msklearn\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mmetrics\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m accuracy_score\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m val_loss, val_accuracy = \u001b[43mmodel\u001b[49m\u001b[43m.\u001b[49m\u001b[43mevaluate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_val\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_val\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m      4\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mValidation Accuracy: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mval_accuracy\u001b[38;5;132;01m:\u001b[39;00m\u001b[33m.4f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m'\u001b[39m)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\keras\\src\\utils\\traceback_utils.py:122\u001b[39m, in \u001b[36mfilter_traceback.<locals>.error_handler\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    119\u001b[39m     filtered_tb = _process_traceback_frames(e.__traceback__)\n\u001b[32m    120\u001b[39m     \u001b[38;5;66;03m# To get the full stack trace, call:\u001b[39;00m\n\u001b[32m    121\u001b[39m     \u001b[38;5;66;03m# `keras.config.disable_traceback_filtering()`\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m122\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m e.with_traceback(filtered_tb) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m    123\u001b[39m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[32m    124\u001b[39m     \u001b[38;5;28;01mdel\u001b[39;00m filtered_tb\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\keras\\src\\layers\\input_spec.py:227\u001b[39m, in \u001b[36massert_input_compatibility\u001b[39m\u001b[34m(input_spec, inputs, layer_name)\u001b[39m\n\u001b[32m    222\u001b[39m     \u001b[38;5;28;01mfor\u001b[39;00m axis, value \u001b[38;5;129;01min\u001b[39;00m spec.axes.items():\n\u001b[32m    223\u001b[39m         \u001b[38;5;28;01mif\u001b[39;00m value \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m shape[axis] \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m {\n\u001b[32m    224\u001b[39m             value,\n\u001b[32m    225\u001b[39m             \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m    226\u001b[39m         }:\n\u001b[32m--> \u001b[39m\u001b[32m227\u001b[39m             \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m    228\u001b[39m                 \u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mInput \u001b[39m\u001b[38;5;132;01m{\u001b[39;00minput_index\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m of layer \u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mlayer_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\u001b[33m is \u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m    229\u001b[39m                 \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mincompatible with the layer: expected axis \u001b[39m\u001b[38;5;132;01m{\u001b[39;00maxis\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    230\u001b[39m                 \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mof input shape to have value \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvalue\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m, \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    231\u001b[39m                 \u001b[33m\"\u001b[39m\u001b[33mbut received input with \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    232\u001b[39m                 \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mshape \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m    233\u001b[39m             )\n\u001b[32m    234\u001b[39m \u001b[38;5;66;03m# Check shape.\u001b[39;00m\n\u001b[32m    235\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m spec.shape \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "\u001b[31mValueError\u001b[39m: Exception encountered when calling Sequential.call().\n\n\u001b[1mInput 0 of layer \"dense\" is incompatible with the layer: expected axis -1 of input shape to have value 10, but received input with shape (None, 9)\u001b[0m\n\nArguments received by Sequential.call():\n  • inputs=tf.Tensor(shape=(None, 9), dtype=float32)\n  • training=False\n  • mask=None"
     ]
    }
   ],
   "source": [
    "# 모델 평가\n",
    "from sklearn.metrics import accuracy_score\n",
    "val_loss, val_accuracy = model.evaluate(X_val, y_val)\n",
    "print(f'Validation Accuracy: {val_accuracy:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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_train).items()))  # y_train의 클래스 값과 빈도수로 막대 그래프\n",
    "plt.xlabel('Class')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Class Distribution in y_train')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After undersampling: Counter({0: 1001534, 1: 1001534})\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": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counter({0: 1086032, 1: 312980})\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "print(Counter(y_test))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m34976/34976\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 733us/step\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import f1_score, accuracy_score\n",
    "\n",
    "# 확률 예측값이 y_val_proba라고 가정\n",
    "# 예: y_val_proba = model.predict(X_val).ravel()\n",
    "\n",
    "# 0.1 ~ 0.89 범위에서 0.01 간격으로 threshold 후보 생성\n",
    "thresholds = np.arange(0.1, 0.9, 0.01)\n",
    "\n",
    "# 각 threshold마다 F1 점수 계산\n",
    "threshold_range = [i * 0.01 for i in range(100)]\n",
    "f1_scores = []\n",
    "accuracies = []\n",
    "thresholds = []\n",
    "\n",
    "y_val_proba = model.predict(X_val).flatten()\n",
    "\n",
    "for t in thresholds:\n",
    "    y_pred = (y_val_proba > t).astype(int)  # 임계값 기준으로 이진 분류\n",
    "    score = f1_score(y_val, y_pred)\n",
    "    f1_scores.append(score)\n",
    "    acc = accuracy_score(y_val, y_pred)   \n",
    "\n",
    "for t in [i * 0.01 for i in range(100)]:\n",
    "    y_pred = (y_val_proba > t).astype(int)\n",
    "\n",
    "    try:\n",
    "        f1 = f1_score(y_val, y_pred)\n",
    "        acc = accuracy_score(y_val, y_pred)\n",
    "\n",
    "        thresholds.append(t)         # 여기서 같이 append!\n",
    "        f1_scores.append(f1)\n",
    "        accuracies.append(acc)\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Threshold: 0.37\n",
      "Best F1 Score: 0.7157\n",
      "Accuracy at Best Threshold: 0.8697\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": 57,
   "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:0.33f}')\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": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m43720/43720\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 689us/step\n"
     ]
    }
   ],
   "source": [
    "# 테스트 데이터 예측 확률\n",
    "y_test_proba = model.predict(X_test).ravel()\n",
    "\n",
    "# 최적 임계값 적용해서 예측값 변환\n",
    "y_test_pred = (y_test_proba > best_threshold).astype(int)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m43720/43720\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 691us/step\n",
      "Test Accuracy: 0.22371502174391641\n",
      "Test ROC AUC: 0.614620308469829\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = model.predict(X_test)  # 테스트 데이터에 대해 예측\n",
    "y_test_pred = (y_test_pred > 0.3).astype(int)  # 이진 분류이므로 0.5를 기준으로 0과 1로 변환\n",
    "\n",
    "# 성능 평가\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score\n",
    "\n",
    "print(\"Test Accuracy:\", accuracy_score(y_test, y_test_pred))\n",
    "print(\"Test ROC AUC:\", roc_auc_score(y_test, y_test_proba))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "\u001b[1m139902/139902\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m256s\u001b[0m 2ms/step - accuracy: 0.8780 - loss: 0.3032 - val_accuracy: 0.8784 - val_loss: 0.3013\n",
      "Epoch 2/5\n",
      "\u001b[1m 24535/139902\u001b[0m \u001b[32m━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m2:45\u001b[0m 1ms/step - accuracy: 0.8777 - loss: 0.3033"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mKeyboardInterrupt\u001b[39m                         Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[59]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m      1\u001b[39m \u001b[38;5;66;03m# 모델 학습 (Epoch마다 정확도 출력)\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m history = \u001b[43mmodel\u001b[49m\u001b[43m.\u001b[49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[32m      3\u001b[39m \u001b[43m                    \u001b[49m\u001b[43mepochs\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m               \u001b[49m\u001b[38;5;66;43;03m# 최대 epoch 수\u001b[39;49;00m\n\u001b[32m      4\u001b[39m \u001b[43m                    \u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[43m=\u001b[49m\u001b[32;43m32\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m            \u001b[49m\u001b[38;5;66;43;03m# 배치 크기\u001b[39;49;00m\n\u001b[32m      5\u001b[39m \u001b[43m                    \u001b[49m\u001b[43mvalidation_data\u001b[49m\u001b[43m=\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_val\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_val\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# 검증 데이터\u001b[39;49;00m\n\u001b[32m      6\u001b[39m \u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\keras\\src\\utils\\traceback_utils.py:117\u001b[39m, in \u001b[36mfilter_traceback.<locals>.error_handler\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    115\u001b[39m filtered_tb = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m    116\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m117\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    118\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m    119\u001b[39m     filtered_tb = _process_traceback_frames(e.__traceback__)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\keras\\src\\backend\\tensorflow\\trainer.py:371\u001b[39m, in \u001b[36mTensorFlowTrainer.fit\u001b[39m\u001b[34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq)\u001b[39m\n\u001b[32m    369\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m step, iterator \u001b[38;5;129;01min\u001b[39;00m epoch_iterator:\n\u001b[32m    370\u001b[39m     callbacks.on_train_batch_begin(step)\n\u001b[32m--> \u001b[39m\u001b[32m371\u001b[39m     logs = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mtrain_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    372\u001b[39m     callbacks.on_train_batch_end(step, logs)\n\u001b[32m    373\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.stop_training:\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\keras\\src\\backend\\tensorflow\\trainer.py:219\u001b[39m, in \u001b[36mTensorFlowTrainer._make_function.<locals>.function\u001b[39m\u001b[34m(iterator)\u001b[39m\n\u001b[32m    215\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mfunction\u001b[39m(iterator):\n\u001b[32m    216\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\n\u001b[32m    217\u001b[39m         iterator, (tf.data.Iterator, tf.distribute.DistributedIterator)\n\u001b[32m    218\u001b[39m     ):\n\u001b[32m--> \u001b[39m\u001b[32m219\u001b[39m         opt_outputs = \u001b[43mmulti_step_on_iterator\u001b[49m\u001b[43m(\u001b[49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    220\u001b[39m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m opt_outputs.has_value():\n\u001b[32m    221\u001b[39m             \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tensorflow\\python\\util\\traceback_utils.py:150\u001b[39m, in \u001b[36mfilter_traceback.<locals>.error_handler\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    148\u001b[39m filtered_tb = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m    149\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m150\u001b[39m   \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    151\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m    152\u001b[39m   filtered_tb = _process_traceback_frames(e.__traceback__)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\polymorphic_function.py:833\u001b[39m, in \u001b[36mFunction.__call__\u001b[39m\u001b[34m(self, *args, **kwds)\u001b[39m\n\u001b[32m    830\u001b[39m compiler = \u001b[33m\"\u001b[39m\u001b[33mxla\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m._jit_compile \u001b[38;5;28;01melse\u001b[39;00m \u001b[33m\"\u001b[39m\u001b[33mnonXla\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    832\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m OptionalXlaContext(\u001b[38;5;28mself\u001b[39m._jit_compile):\n\u001b[32m--> \u001b[39m\u001b[32m833\u001b[39m   result = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    835\u001b[39m new_tracing_count = \u001b[38;5;28mself\u001b[39m.experimental_get_tracing_count()\n\u001b[32m    836\u001b[39m without_tracing = (tracing_count == new_tracing_count)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\polymorphic_function.py:878\u001b[39m, in \u001b[36mFunction._call\u001b[39m\u001b[34m(self, *args, **kwds)\u001b[39m\n\u001b[32m    875\u001b[39m \u001b[38;5;28mself\u001b[39m._lock.release()\n\u001b[32m    876\u001b[39m \u001b[38;5;66;03m# In this case we have not created variables on the first call. So we can\u001b[39;00m\n\u001b[32m    877\u001b[39m \u001b[38;5;66;03m# run the first trace but we should fail if variables are created.\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m878\u001b[39m results = \u001b[43mtracing_compilation\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcall_function\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    879\u001b[39m \u001b[43m    \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_variable_creation_config\u001b[49m\n\u001b[32m    880\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    881\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m._created_variables:\n\u001b[32m    882\u001b[39m   \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[33m\"\u001b[39m\u001b[33mCreating variables on a non-first call to a function\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    883\u001b[39m                    \u001b[33m\"\u001b[39m\u001b[33m decorated with tf.function.\u001b[39m\u001b[33m\"\u001b[39m)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\tracing_compilation.py:139\u001b[39m, in \u001b[36mcall_function\u001b[39m\u001b[34m(args, kwargs, tracing_options)\u001b[39m\n\u001b[32m    137\u001b[39m bound_args = function.function_type.bind(*args, **kwargs)\n\u001b[32m    138\u001b[39m flat_inputs = function.function_type.unpack_inputs(bound_args)\n\u001b[32m--> \u001b[39m\u001b[32m139\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunction\u001b[49m\u001b[43m.\u001b[49m\u001b[43m_call_flat\u001b[49m\u001b[43m(\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# pylint: disable=protected-access\u001b[39;49;00m\n\u001b[32m    140\u001b[39m \u001b[43m    \u001b[49m\u001b[43mflat_inputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcaptured_inputs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfunction\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcaptured_inputs\u001b[49m\n\u001b[32m    141\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\concrete_function.py:1322\u001b[39m, in \u001b[36mConcreteFunction._call_flat\u001b[39m\u001b[34m(self, tensor_inputs, captured_inputs)\u001b[39m\n\u001b[32m   1318\u001b[39m possible_gradient_type = gradients_util.PossibleTapeGradientTypes(args)\n\u001b[32m   1319\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m (possible_gradient_type == gradients_util.POSSIBLE_GRADIENT_TYPES_NONE\n\u001b[32m   1320\u001b[39m     \u001b[38;5;129;01mand\u001b[39;00m executing_eagerly):\n\u001b[32m   1321\u001b[39m   \u001b[38;5;66;03m# No tape is watching; skip to running the function.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m1322\u001b[39m   \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_inference_function\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcall_preflattened\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   1323\u001b[39m forward_backward = \u001b[38;5;28mself\u001b[39m._select_forward_and_backward_functions(\n\u001b[32m   1324\u001b[39m     args,\n\u001b[32m   1325\u001b[39m     possible_gradient_type,\n\u001b[32m   1326\u001b[39m     executing_eagerly)\n\u001b[32m   1327\u001b[39m forward_function, args_with_tangents = forward_backward.forward()\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\atomic_function.py:216\u001b[39m, in \u001b[36mAtomicFunction.call_preflattened\u001b[39m\u001b[34m(self, args)\u001b[39m\n\u001b[32m    214\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mcall_preflattened\u001b[39m(\u001b[38;5;28mself\u001b[39m, args: Sequence[core.Tensor]) -> Any:\n\u001b[32m    215\u001b[39m \u001b[38;5;250m  \u001b[39m\u001b[33;03m\"\"\"Calls with flattened tensor inputs and returns the structured output.\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m216\u001b[39m   flat_outputs = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mcall_flat\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    217\u001b[39m   \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m.function_type.pack_output(flat_outputs)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tensorflow\\python\\eager\\polymorphic_function\\atomic_function.py:251\u001b[39m, in \u001b[36mAtomicFunction.call_flat\u001b[39m\u001b[34m(self, *args)\u001b[39m\n\u001b[32m    249\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m record.stop_recording():\n\u001b[32m    250\u001b[39m   \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m._bound_context.executing_eagerly():\n\u001b[32m--> \u001b[39m\u001b[32m251\u001b[39m     outputs = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_bound_context\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcall_function\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    252\u001b[39m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    253\u001b[39m \u001b[43m        \u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    254\u001b[39m \u001b[43m        \u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mfunction_type\u001b[49m\u001b[43m.\u001b[49m\u001b[43mflat_outputs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    255\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    256\u001b[39m   \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m    257\u001b[39m     outputs = make_call_op_in_graph(\n\u001b[32m    258\u001b[39m         \u001b[38;5;28mself\u001b[39m,\n\u001b[32m    259\u001b[39m         \u001b[38;5;28mlist\u001b[39m(args),\n\u001b[32m    260\u001b[39m         \u001b[38;5;28mself\u001b[39m._bound_context.function_call_options.as_attrs(),\n\u001b[32m    261\u001b[39m     )\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tensorflow\\python\\eager\\context.py:1688\u001b[39m, in \u001b[36mContext.call_function\u001b[39m\u001b[34m(self, name, tensor_inputs, num_outputs)\u001b[39m\n\u001b[32m   1686\u001b[39m cancellation_context = cancellation.context()\n\u001b[32m   1687\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m cancellation_context \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1688\u001b[39m   outputs = \u001b[43mexecute\u001b[49m\u001b[43m.\u001b[49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1689\u001b[39m \u001b[43m      \u001b[49m\u001b[43mname\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mutf-8\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1690\u001b[39m \u001b[43m      \u001b[49m\u001b[43mnum_outputs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mnum_outputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1691\u001b[39m \u001b[43m      \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtensor_inputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1692\u001b[39m \u001b[43m      \u001b[49m\u001b[43mattrs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mattrs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1693\u001b[39m \u001b[43m      \u001b[49m\u001b[43mctx\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m   1694\u001b[39m \u001b[43m  \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   1695\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m   1696\u001b[39m   outputs = execute.execute_with_cancellation(\n\u001b[32m   1697\u001b[39m       name.decode(\u001b[33m\"\u001b[39m\u001b[33mutf-8\u001b[39m\u001b[33m\"\u001b[39m),\n\u001b[32m   1698\u001b[39m       num_outputs=num_outputs,\n\u001b[32m   (...)\u001b[39m\u001b[32m   1702\u001b[39m       cancellation_manager=cancellation_context,\n\u001b[32m   1703\u001b[39m   )\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\tensorflow\\python\\eager\\execute.py:53\u001b[39m, in \u001b[36mquick_execute\u001b[39m\u001b[34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[39m\n\u001b[32m     51\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m     52\u001b[39m   ctx.ensure_initialized()\n\u001b[32m---> \u001b[39m\u001b[32m53\u001b[39m   tensors = \u001b[43mpywrap_tfe\u001b[49m\u001b[43m.\u001b[49m\u001b[43mTFE_Py_Execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mctx\u001b[49m\u001b[43m.\u001b[49m\u001b[43m_handle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdevice_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m     54\u001b[39m \u001b[43m                                      \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mattrs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_outputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m     55\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m core._NotOkStatusException \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m     56\u001b[39m   \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "\u001b[31mKeyboardInterrupt\u001b[39m: "
     ]
    }
   ],
   "source": [
    "# 모델 학습 (Epoch마다 정확도 출력)\n",
    "history = model.fit(X_train, y_train, \n",
    "                    epochs=5,               # 최대 epoch 수\n",
    "                    batch_size=32,            # 배치 크기\n",
    "                    validation_data=(X_val, y_val),  # 검증 데이터\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification Report:\n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.79      1.00      0.88    868826\n",
      "           1       1.00      0.10      0.18    250383\n",
      "\n",
      "    accuracy                           0.80   1119209\n",
      "   macro avg       0.89      0.55      0.53   1119209\n",
      "weighted avg       0.84      0.80      0.73   1119209\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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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",
    "\n",
    "\n",
    "# 평가 지표 출력\n",
    "print(\"Classification Report:\\n\")\n",
    "print(classification_report(y_val, y_pred))\n",
    "\n",
    "# 혼동 행렬 시각화\n",
    "ConfusionMatrixDisplay.from_predictions(y_val, y_pred, cmap='Blues')\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
}