gemini.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "srj25LVwfUuc",
        "outputId": "576838de-77e6-44d5-e7c0-6ca3c8a5187e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: google-cloud-aiplatform>=1.38 in /usr/local/lib/python3.10/dist-packages (1.52.0)\n",
            "Requirement already satisfied: google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.34.1 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (2.11.1)\n",
            "Requirement already satisfied: google-auth<3.0.0dev,>=2.14.1 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (2.27.0)\n",
            "Requirement already satisfied: proto-plus<2.0.0dev,>=1.22.0 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (1.23.0)\n",
            "Requirement already satisfied: protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (3.20.3)\n",
            "Requirement already satisfied: packaging>=14.3 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (24.0)\n",
            "Requirement already satisfied: google-cloud-storage<3.0.0dev,>=1.32.0 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (2.8.0)\n",
            "Requirement already satisfied: google-cloud-bigquery!=3.20.0,<4.0.0dev,>=1.15.0 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (3.21.0)\n",
            "Requirement already satisfied: google-cloud-resource-manager<3.0.0dev,>=1.3.3 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (1.12.3)\n",
            "Requirement already satisfied: shapely<3.0.0dev in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (2.0.4)\n",
            "Requirement already satisfied: pydantic<3 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (2.7.1)\n",
            "Requirement already satisfied: docstring-parser<1 in /usr/local/lib/python3.10/dist-packages (from google-cloud-aiplatform>=1.38) (0.16)\n",
            "Requirement already satisfied: googleapis-common-protos<2.0.dev0,>=1.56.2 in /usr/local/lib/python3.10/dist-packages (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.34.1->google-cloud-aiplatform>=1.38) (1.63.0)\n",
            "Requirement already satisfied: requests<3.0.0.dev0,>=2.18.0 in /usr/local/lib/python3.10/dist-packages (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.34.1->google-cloud-aiplatform>=1.38) (2.31.0)\n",
            "Requirement already satisfied: grpcio<2.0dev,>=1.33.2 in /usr/local/lib/python3.10/dist-packages (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.34.1->google-cloud-aiplatform>=1.38) (1.64.0)\n",
            "Requirement already satisfied: grpcio-status<2.0.dev0,>=1.33.2 in /usr/local/lib/python3.10/dist-packages (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.34.1->google-cloud-aiplatform>=1.38) (1.48.2)\n",
            "Requirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from google-auth<3.0.0dev,>=2.14.1->google-cloud-aiplatform>=1.38) (5.3.3)\n",
            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from google-auth<3.0.0dev,>=2.14.1->google-cloud-aiplatform>=1.38) (0.4.0)\n",
            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.10/dist-packages (from google-auth<3.0.0dev,>=2.14.1->google-cloud-aiplatform>=1.38) (4.9)\n",
            "Requirement already satisfied: google-cloud-core<3.0.0dev,>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from google-cloud-bigquery!=3.20.0,<4.0.0dev,>=1.15.0->google-cloud-aiplatform>=1.38) (2.3.3)\n",
            "Requirement already satisfied: google-resumable-media<3.0dev,>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from google-cloud-bigquery!=3.20.0,<4.0.0dev,>=1.15.0->google-cloud-aiplatform>=1.38) (2.7.0)\n",
            "Requirement already satisfied: python-dateutil<3.0dev,>=2.7.2 in /usr/local/lib/python3.10/dist-packages (from google-cloud-bigquery!=3.20.0,<4.0.0dev,>=1.15.0->google-cloud-aiplatform>=1.38) (2.8.2)\n",
            "Requirement already satisfied: grpc-google-iam-v1<1.0.0dev,>=0.12.4 in /usr/local/lib/python3.10/dist-packages (from google-cloud-resource-manager<3.0.0dev,>=1.3.3->google-cloud-aiplatform>=1.38) (0.13.0)\n",
            "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3->google-cloud-aiplatform>=1.38) (0.7.0)\n",
            "Requirement already satisfied: pydantic-core==2.18.2 in /usr/local/lib/python3.10/dist-packages (from pydantic<3->google-cloud-aiplatform>=1.38) (2.18.2)\n",
            "Requirement already satisfied: typing-extensions>=4.6.1 in /usr/local/lib/python3.10/dist-packages (from pydantic<3->google-cloud-aiplatform>=1.38) (4.11.0)\n",
            "Requirement already satisfied: numpy<3,>=1.14 in /usr/local/lib/python3.10/dist-packages (from shapely<3.0.0dev->google-cloud-aiplatform>=1.38) (1.25.2)\n",
            "Requirement already satisfied: google-crc32c<2.0dev,>=1.0 in /usr/local/lib/python3.10/dist-packages (from google-resumable-media<3.0dev,>=0.6.0->google-cloud-bigquery!=3.20.0,<4.0.0dev,>=1.15.0->google-cloud-aiplatform>=1.38) (1.5.0)\n",
            "Requirement already satisfied: pyasn1<0.7.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth<3.0.0dev,>=2.14.1->google-cloud-aiplatform>=1.38) (0.6.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil<3.0dev,>=2.7.2->google-cloud-bigquery!=3.20.0,<4.0.0dev,>=1.15.0->google-cloud-aiplatform>=1.38) (1.16.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0.dev0,>=2.18.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.34.1->google-cloud-aiplatform>=1.38) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0.dev0,>=2.18.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.34.1->google-cloud-aiplatform>=1.38) (3.7)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0.dev0,>=2.18.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.34.1->google-cloud-aiplatform>=1.38) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0.dev0,>=2.18.0->google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.34.1->google-cloud-aiplatform>=1.38) (2024.2.2)\n"
          ]
        }
      ],
      "source": [
        "!pip install \"google-cloud-aiplatform>=1.38\""
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!gcloud auth login"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hVQG5crSfmkF",
        "outputId": "9d74025d-9543-44e9-c2e4-716295acb858"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "You are running on a Google Compute Engine virtual machine.\n",
            "It is recommended that you use service accounts for authentication.\n",
            "\n",
            "You can run:\n",
            "\n",
            "  $ gcloud config set account `ACCOUNT`\n",
            "\n",
            "to switch accounts if necessary.\n",
            "\n",
            "Your credentials may be visible to others with access to this\n",
            "virtual machine. Are you sure you want to authenticate with\n",
            "your personal account?\n",
            "\n",
            "Do you want to continue (Y/n)?  Y\n",
            "\n",
            "Go to the following link in your browser, and complete the sign-in prompts:\n",
            "\n",
            "    https://accounts.google.com/o/oauth2/auth?response_type=code&client_id=32555940559.apps.googleusercontent.com&redirect_uri=https%3A%2F%2Fsdk.cloud.google.com%2Fauthcode.html&scope=openid+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fuserinfo.email+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fappengine.admin+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fsqlservice.login+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcompute+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Faccounts.reauth&state=oHaQnKLsO6M1h3BEzXJRzq6l57mQ4X&prompt=consent&token_usage=remote&access_type=offline&code_challenge=L5SItN0iy9mNEdsZ-PkqWxXi5O4Xh1k9DfdYZVZ9FnQ&code_challenge_method=S256\n",
            "\n",
            "Once finished, enter the verification code provided in your browser: 4/0AdLIrYerWntgqgsItw8F5OxyjRAQ0JyK7GGYslP69U2Qrt2wk3PFbOzRWR5C15_4U3iiQg\n",
            "\n",
            "You are now logged in as [tigere0723@gmail.com].\n",
            "Your current project is [None].  You can change this setting by running:\n",
            "  $ gcloud config set project PROJECT_ID\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import auth\n",
        "auth.authenticate_user()"
      ],
      "metadata": {
        "id": "Mg5XqEKBfyVk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import io\n",
        "import http.client\n",
        "import typing\n",
        "import urllib.request\n",
        "import base64\n",
        "from PIL import Image as PILImage\n",
        "import matplotlib.pyplot as plt\n",
        "import vertexai\n",
        "import vertexai.preview\n",
        "from google.cloud import aiplatform\n",
        "from vertexai.preview.generative_models import GenerativeModel, Image\n",
        "vertexai.init(project=\"nimble-chimera-424600-r1\", location=\"us-central1\")"
      ],
      "metadata": {
        "id": "m_dm_oxff6OZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def chat_gemini(prompt):\n",
        "   model_name = \"gemini-1.0-pro\"\n",
        "\n",
        "   model = GenerativeModel(model_name)\n",
        "   response = model.generate_content(prompt)\n",
        "\n",
        "   return response.text"
      ],
      "metadata": {
        "id": "adkyMToKgL7S"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ubtVbD5dlodE",
        "outputId": "f99a886c-d9ea-4bd9-dff1-195413f2424c"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "df = pd.read_excel(\"/content/drive/MyDrive/korean_essay_최종.xlsx\")\n",
        "\n",
        "df = df.drop_duplicates(subset=['생성 Text'])\n",
        "df.reset_index(drop=True, inplace=True)\n",
        "\n",
        "print(f\"length : {len(df)}\")\n",
        "display(df.head())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 329
        },
        "id": "cQfpCcrKlozD",
        "outputId": "1883b352-2134-4bbd-e534-7245816de4b8"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "length : 502\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "    ID    model                                     대학  \\\n",
              "0  NaN  GPT-3.5         2012학년도 연세대학교 논술(사회계열) 입학시험 문제   \n",
              "1  NaN  GPT-3.5         2013학년도 연세대학교 논술(사회계열) 입학시험 문제   \n",
              "2  NaN  GPT-3.5         2013학년도 연세대학교 논술(인문계열) 입학시험 문제   \n",
              "3  NaN  GPT-3.5  2014학년도 연세대학교 수시모집 논술 (사회계열) 입학시험 문제지   \n",
              "4  NaN  GPT-3.5  2014학년도 연세대학교 수시모집 논술 (사회계열) 입학시험 문제지   \n",
              "\n",
              "                                                 제시문  중간  \\\n",
              "0  제시문 (가)\\n새로운 종교를 창설하려는 여러 번의 시도가 실패로 끝난 것은 상당히...  \\n   \n",
              "1  (가)\\n가-1. \\n기원전 4세기경 그리스 철학자 데모스테네스는 “자기를 속이는 ...  \\n   \n",
              "2  제시문 (가)\\n강녕의 용반, 소주의 등위, 항주의 서계는 모두 매화 산지이다.\\n...  \\n   \n",
              "3  제시문 (가)\\n개인에 있어서의 합리적인 선택 원칙을 사회 전체에 적용할 수 있으려...  \\n   \n",
              "4  제시문 (가)\\n개인에 있어서의 합리적인 선택 원칙을 사회 전체에 적용할 수 있으려...  \\n   \n",
              "\n",
              "                                                  문제 공백  \\\n",
              "0  한 사회에 새로움이 부상하는 과정에서 다수가 수행하는 역할을 중심으로 제시문 (가)...      \n",
              "1  제시문 (가-2)를 바탕으로 제시문 (나)와 (다)를 비교 분석하시오. (1,000...      \n",
              "2  제시문 (가), (나), (다)에 공통된 주제어를 찾고, 이를 바탕으로 제시문 (가...      \n",
              "3  개인과 사회는 서로 영향을 미칠 수 있다. 개인이 사회에 영향을 미치는 정도가 높은...      \n",
              "4  현대 사회에서는 구성원 상호간에 서로 상충된 요구와 주장들이 늘어나고 있다. 이와 ...      \n",
              "\n",
              "                                             생성 Text   비고  \n",
              "0  \\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...  NaN  \n",
              "1  제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...  NaN  \n",
              "2  주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...  NaN  \n",
              "3  네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...  NaN  \n",
              "4  네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...  NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-fa8f5029-bde8-4a84-896e-463aeb527dc1\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>model</th>\n",
              "      <th>대학</th>\n",
              "      <th>제시문</th>\n",
              "      <th>중간</th>\n",
              "      <th>문제</th>\n",
              "      <th>공백</th>\n",
              "      <th>생성 Text</th>\n",
              "      <th>비고</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>NaN</td>\n",
              "      <td>GPT-3.5</td>\n",
              "      <td>2012학년도 연세대학교 논술(사회계열) 입학시험 문제</td>\n",
              "      <td>제시문 (가)\\n새로운 종교를 창설하려는 여러 번의 시도가 실패로 끝난 것은 상당히...</td>\n",
              "      <td>\\n</td>\n",
              "      <td>한 사회에 새로움이 부상하는 과정에서 다수가 수행하는 역할을 중심으로 제시문 (가)...</td>\n",
              "      <td></td>\n",
              "      <td>\\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>NaN</td>\n",
              "      <td>GPT-3.5</td>\n",
              "      <td>2013학년도 연세대학교 논술(사회계열) 입학시험 문제</td>\n",
              "      <td>(가)\\n가-1. \\n기원전 4세기경 그리스 철학자 데모스테네스는 “자기를 속이는 ...</td>\n",
              "      <td>\\n</td>\n",
              "      <td>제시문 (가-2)를 바탕으로 제시문 (나)와 (다)를 비교 분석하시오. (1,000...</td>\n",
              "      <td></td>\n",
              "      <td>제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NaN</td>\n",
              "      <td>GPT-3.5</td>\n",
              "      <td>2013학년도 연세대학교 논술(인문계열) 입학시험 문제</td>\n",
              "      <td>제시문 (가)\\n강녕의 용반, 소주의 등위, 항주의 서계는 모두 매화 산지이다.\\n...</td>\n",
              "      <td>\\n</td>\n",
              "      <td>제시문 (가), (나), (다)에 공통된 주제어를 찾고, 이를 바탕으로 제시문 (가...</td>\n",
              "      <td></td>\n",
              "      <td>주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>NaN</td>\n",
              "      <td>GPT-3.5</td>\n",
              "      <td>2014학년도 연세대학교 수시모집 논술 (사회계열) 입학시험 문제지</td>\n",
              "      <td>제시문 (가)\\n개인에 있어서의 합리적인 선택 원칙을 사회 전체에 적용할 수 있으려...</td>\n",
              "      <td>\\n</td>\n",
              "      <td>개인과 사회는 서로 영향을 미칠 수 있다. 개인이 사회에 영향을 미치는 정도가 높은...</td>\n",
              "      <td></td>\n",
              "      <td>네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaN</td>\n",
              "      <td>GPT-3.5</td>\n",
              "      <td>2014학년도 연세대학교 수시모집 논술 (사회계열) 입학시험 문제지</td>\n",
              "      <td>제시문 (가)\\n개인에 있어서의 합리적인 선택 원칙을 사회 전체에 적용할 수 있으려...</td>\n",
              "      <td>\\n</td>\n",
              "      <td>현대 사회에서는 구성원 상호간에 서로 상충된 요구와 주장들이 늘어나고 있다. 이와 ...</td>\n",
              "      <td></td>\n",
              "      <td>네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fa8f5029-bde8-4a84-896e-463aeb527dc1')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-fa8f5029-bde8-4a84-896e-463aeb527dc1 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-fa8f5029-bde8-4a84-896e-463aeb527dc1');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-7a180994-9436-40dc-8b5c-85b49d23500d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7a180994-9436-40dc-8b5c-85b49d23500d')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7a180994-9436-40dc-8b5c-85b49d23500d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "Out of range float values are not JSON compliant: nan"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_df = df\n",
        "test_df = test_df[['생성 Text', 'model']]\n",
        "test_df['label'] = test_df['model'].apply(lambda x: 1 if 'gpt' in str(x).lower() else 0)\n",
        "test_df = test_df[['생성 Text','label']]\n",
        "test_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 316
        },
        "id": "yhof3hAnzMVo",
        "outputId": "51d3a4d9-966b-4841-fe50-6446cb8a6ab0"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-58-7a19001825f6>:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  test_df['label'] = test_df['model'].apply(lambda x: 1 if 'gpt' in str(x).lower() else 0)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                             생성 Text  label\n",
              "0  \\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...      1\n",
              "1  제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...      1\n",
              "2  주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...      1\n",
              "3  네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...      1\n",
              "4  네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...      1"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-551fb398-1658-4072-adda-110b14aca89c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>생성 Text</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>\\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-551fb398-1658-4072-adda-110b14aca89c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-551fb398-1658-4072-adda-110b14aca89c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-551fb398-1658-4072-adda-110b14aca89c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-bc4f4dea-653c-449d-8bf6-ae234de90fbb\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bc4f4dea-653c-449d-8bf6-ae234de90fbb')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-bc4f4dea-653c-449d-8bf6-ae234de90fbb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "test_df",
              "summary": "{\n  \"name\": \"test_df\",\n  \"rows\": 502,\n  \"fields\": [\n    {\n      \"column\": \"\\uc0dd\\uc131 Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 501,\n        \"samples\": [\n          \"\\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uc785\\uc7a5\\uc740 \\ub2e8\\uc21c\\ud788 \\uae30\\uc220\\uc801 \\ud574\\uacb0\\ucc45\\uc744 \\ucc3e\\ub294 \\uac83\\uc744 \\ub118\\uc5b4, \\uc0ac\\ud68c\\uc801 \\ucc45\\uc784\\uacfc \\uc778\\uac04\\uc758 \\uc0b6\\uc5d0 \\ub300\\ud55c \\uace0\\ubbfc\\uc744 \\ubc18\\uc601\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4. (\\uac00)\\uc5d0\\uc11c\\ub294 \\uc9c0\\uad6c \\uc628\\ub09c\\ud654\\ub85c \\uc778\\ud55c \\uc778\\ub958\\uc758 \\uace0\\ud1b5\\uc744 \\uac15\\uc870\\ud558\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub7ec\\ud55c \\uc0c1\\ud669\\uc5d0\\uc11c \\uc6b0\\ub9ac\\ub294 \\ub2e8\\uc21c\\ud788 \\uae30\\ud6c4 \\uae30\\uc220\\uc758 \\ubc1c\\uc804\\ub9cc\\uc73c\\ub85c \\ubb38\\uc81c\\ub97c \\ud574\\uacb0\\ud560 \\uc218 \\uc5c6\\ub2e4\\ub294 \\uc810\\uc744 \\uc778\\uc2dd\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n(\\ub098)\\uc5d0\\uc11c\\ub294 \\uc694\\ub098\\uc2a4\\uc758 \\ucc45\\uc784\\uc758 \\uba85\\ubc95\\uacfc \\uc9c0\\uc18d \\uac00\\ub2a5\\ud55c \\ubc1c\\uc804\\uc758 \\uac1c\\ub150\\uc774 \\uc18c\\uac1c\\ub418\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\ud574\\uacb0\\uc740 \\ub2e8\\uc21c\\ud788 \\ud604\\uc7ac \\uc138\\ub300\\uc758 \\uc774\\uc775\\uc744 \\uc704\\ud55c \\uac83\\uc774 \\uc544\\ub2c8\\ub77c \\ubbf8\\ub798 \\uc138\\ub300\\uc640 \\uc790\\uc5f0\\uc5d0 \\ub300\\ud55c \\ucc45\\uc784\\uc744 \\uace0\\ub824\\ud569\\ub2c8\\ub2e4.\\n\\n(\\ub2e4)\\uc5d0\\uc11c\\ub294 \\ubbf8\\uc138\\uba3c\\uc9c0\\ub85c \\uc778\\ud55c \\ud658\\uacbd \\ubb38\\uc81c\\uac00 \\uacbd\\uc81c\\uc801 \\ubd88\\ud3c9\\ub4f1\\uc744 \\uc2ec\\ud654\\uc2dc\\ud0a4\\uace0 \\uc788\\ub294 \\ud604\\uc2e4\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4. \\uc774\\ub294 \\ud658\\uacbd \\ubb38\\uc81c\\uac00 \\ub2e8\\uc21c\\ud788 \\uae30\\uc220\\uc801\\uc778 \\uce21\\uba74\\ubfd0 \\uc544\\ub2c8\\ub77c \\uc0ac\\ud68c\\uc801, \\uacbd\\uc81c\\uc801 \\uce21\\uba74\\uc5d0\\uc11c\\ub3c4 \\uc2ec\\uac01\\ud55c \\ubb38\\uc81c\\uc784\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4.\\n\\n(\\ub77c)\\uc5d0\\uc11c\\ub294 \\uad6d\\uac00\\uc640 \\uad6d\\ubbfc \\uac04\\uc758 \\uc0c1\\ud638\\ucc45\\uc784\\uacfc \\ubcf5\\uc9c0\\uad8c\\uc5d0 \\ub300\\ud55c \\uc774\\uc57c\\uae30\\uac00 \\ub098\\uc635\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\ub294 \\uac1c\\uc778\\uc758 \\uc790\\uc720\\uc640 \\uad8c\\ub9ac\\ubfd0\\ub9cc \\uc544\\ub2c8\\ub77c \\uad6d\\uac00\\uc758 \\ucc45\\uc784\\uacfc \\uad6d\\ubbfc\\uc758 \\ubcf5\\uc9c0\\uad8c\\uacfc\\ub3c4 \\uc5f0\\uacb0\\ub418\\uc5b4 \\uc788\\uc74c\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4.\\n\\n\\uc774\\ub7ec\\ud55c \\uad00\\uc810\\uc5d0\\uc11c \\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uc785\\uc7a5\\uc740 \\ub2e8\\uc21c\\ud788 \\ud658\\uacbd\\uc744 \\ubcf4\\ud638\\ud558\\uace0 \\uae30\\uc220\\uc801\\uc778 \\ud574\\uacb0\\ucc45\\uc744 \\ubaa8\\uc0c9\\ud558\\ub294 \\uac83\\uc744 \\ub118\\uc5b4, \\uc0ac\\ud68c\\uc801 \\ucc45\\uc784\\uacfc \\ubbf8\\ub798 \\uc138\\ub300\\uc5d0 \\ub300\\ud55c \\ubc30\\ub824\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ud574\\uacb0\\ucc45\\uc744 \\ubaa8\\uc0c9\\ud574\\uc57c \\ud55c\\ub2e4\\ub294 \\uac83\\uc785\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\ub294 \\uc6b0\\ub9ac\\uc758 \\uc0b6\\uacfc \\ubbf8\\ub798\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uace0\\ubbfc\\uc758 \\ub300\\uc0c1\\uc774\\uba70, \\uc774\\ub97c \\ud574\\uacb0\\ud558\\uae30 \\uc704\\ud574\\uc11c\\ub294 \\uc0ac\\ud68c\\uc801, \\uacbd\\uc81c\\uc801, \\uc778\\uac04\\uc801\\uc778 \\uce21\\uba74\\uc744 \\ubaa8\\ub450 \\uace0\\ub824\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\",\n          \"\\uc81c\\uc2dc\\ubb38 [\\uac00]\\ub294 \\uc815\\ubd80\\uac00 \\uc2dc\\uc7a5 \\uacbd\\uc81c \\uac1c\\uc785\\uc5d0 \\uc788\\uc5b4\\uc11c \\uad6d\\uac00\\uc801 \\uc774\\uc775 \\ubcf4\\ud638\\ub97c \\uc704\\ud55c \\ubaa9\\uc801\\uc744 \\uac00\\n\\uc9c0\\uace0 \\uc2dc\\uc7a5 \\uacbd\\uc81c \\uac1c\\uc785\\uc5d0 \\ub300\\ud55c \\uc815\\ub2f9\\uc131\\uc744 \\ud655\\ubcf4\\ud558\\ub294 \\uae0d\\uc815\\uc801\\uc778 \\uba74\\uc744 \\uac15\\uc870\\ud558\\uace0 \\uc788\\ub2e4. \\uc774\\ub7f0\\n\\uc815\\ubd80\\uc758 \\uc5ed\\ud560\\uc744 \\ubc14\\ud0d5\\uc73c\\ub85c \\uc81c\\uc2dc\\ubb38 [\\ub098]\\uc640 [\\ub77c]\\ub294 \\uc815\\ubd80 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc758 \\ubd80\\uc815\\uc801\\uc778 \\uba74, \\uc81c\\uc2dc\\ubb38\\n[\\ub2e4]\\uc640 [\\ubc14]\\ub294 \\uc815\\ubd80 \\uc5ed\\ud560\\uc5d0 \\ub300\\ud55c \\uae0d\\uc815\\uc801\\uc778 \\uba74, \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\ub294 \\uc591\\ucabd \\ubaa8\\ub450\\uac00 \\uc874\\uc7ac\\ud55c\\ub2e4\\ub294\\n\\uacb0\\uacfc\\ub97c \\ub3c4\\ucd9c\\ud560 \\uc218 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub098]\\ub294 \\uacf5\\uae30\\uc5c5 \\uacbd\\uc601 \\uc2e4\\uc801\\uc774 \\uc545\\ud654\\ud558\\uc5ec \\ubd80\\ucc44\\uac00 \\uc99d\\uac00\\ud558\\ub294 \\uac83\\uc740 \\uc138\\uae08\\uc73c\\ub85c \\ucda9\\ub2f9\\ub418\\n\\ub294 \\uacf5\\uae30\\uc5c5\\uc758 \\uc6b4\\uc601\\uc0c1 \\uad6d\\ubbfc\\uc5d0\\uac8c \\uadf8\\ub9ac\\uace0 \\uad6d\\uac00 \\uacbd\\uc81c\\uc5d0 \\uc7ac\\uc815 \\ubd80\\ub2f4\\uc744 \\uc548\\uaca8\\uc8fc\\ub294 \\ubd80\\uc815\\uc801 \\uc601\\ud5a5\\n\\uc744 \\uc900\\ub2e4\\ub294 \\uac83\\uc774\\ub2e4. \\ub530\\ub77c\\uc11c \\uc81c\\uc2dc\\ubb38 [\\ub098]\\ub294 \\uc815\\ubd80\\uc758 \\uacf5\\uae30\\uc5c5\\uc744 \\ud1b5\\ud55c \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc740 \\uacbd\\uc81c \\ubc1c\\n\\uc804\\uc5d0 \\ubd80\\uc815\\uc801 \\uc601\\ud5a5\\uc744 \\uc900\\ub2e4\\ub294 \\uac83\\uc744 \\ubcf4\\uc5ec \\uc900\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub2e4]\\uc5d0\\uc11c \\uad6d\\uac00\\ub294 \\uc0ac\\ud68c \\ubcf4\\ud5d8\\uc744 \\ud1b5\\ud574\\uc11c \\uad6d\\ubbfc\\uc744 \\ubcf4\\ud638\\ud558\\ub294 \\ucc45\\uc784\\uacfc \\uc5ed\\ud560\\uc744 \\uc218\\ud589\\ud558\\n\\uc9c0\\ub9cc, \\uad6d\\ubbfc \\uac74\\uac15 \\ubcf4\\ud5d8, \\uad6d\\ubbfc\\uc5f0\\uae08 \\ub4f1\\uc740 \\uad6d\\uac00\\uc758 \\uc7ac\\uc815\\uc801 \\ubd80\\ub2f4\\uc744 \\uc545\\ud654\\uc2dc\\ud0ac \\uc218 \\uc788\\ub294 \\uc704\\ud5d8\\n\\uc694\\uc18c\\uc774\\uba70 \\uacbd\\uc81c\\uc801\\uc778 \\uce21\\uba74\\uc73c\\ub85c \\ubcf4\\uc558\\uc744 \\ub54c \\ubd80\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uc744 \\uc904 \\uc218 \\uc788\\ub294 \\uc7a0\\uc7ac\\uc801 \\uc694\\uc18c\\ub4e4\\uc744\\n\\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub77c]\\ub294 \\uc5ed\\uc0ac\\uc801 \\uc0ac\\uc2e4\\uc744 \\ud1a0\\ub300\\ub85c \\uc815\\ubd80\\uac00 \\uc2dc\\uc7a5 \\uacbd\\uc81c\\uc5d0 \\uac1c\\uc785\\ud574\\uc11c \\uc2a4\\ud0dc\\uadf8\\ud50c\\ub808\\uc774\\uc158\\uc774\\n\\uc0dd\\uaca8\\ub098\\uace0 \\uc774\\ub294 \\uc815\\ubd80\\uc758 \\uac1c\\uc785\\uc744 \\ucd95\\uc18c\\ud574\\uc57c \\ud55c\\ub2e4\\ub294 \\uc2e0\\uc790\\uc720\\uc8fc\\uc758 \\uc8fc\\uc7a5\\uc5d0\\ub3c4 \\uc5f0\\uacb0\\uc774 \\ub418\\uace0 \\uc788\\n\\ub2e4. \\ud2b9\\ud788 \\uc11d\\uc720 \\ud30c\\ub3d9 \\ub4f1 \\uc704\\uae30 \\uc0c1\\ud669\\uc5d0\\uc11c \\uc815\\ubd80\\uc758 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc774 \\ubb38\\uc81c \\ud574\\uacb0\\uc5d0 \\ub3c4\\uc6c0\\uc774 \\ub418\\uc9c0\\n\\uc54a\\ub294\\ub2e4\\ub294 \\uc810\\uc744 \\ub098\\ud0c0\\ub0b4\\uace0 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\ub294 \\uc601\\uad6d\\uc758 \\ube0c\\ub809\\uc2dc\\ud2b8 \\uc758\\uc0ac\\uacb0\\uc815\\uc774 \\uacbd\\uc81c\\uc5d0 \\uae0d\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uacfc \\ubd80\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uc744\\n\\ub3d9\\uc2dc\\uc5d0 \\uc904 \\uc218 \\uc788\\ub294 \\uc810\\uc744 \\uac15\\uc870\\ud55c\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ubc14]\\ub294 \\uad6d\\uac00\\uac00 \\uad6d\\ubbfc\\uc744 \\uc704\\ud574 \\uc758\\ub8cc\\ube44, \\uc2e4\\uc9c1\\n\\uc2dc \\uc0dd\\uacc4 \\uc9c0\\uc6d0 \\ub4f1 \\ubcf5\\uc9c0\\uc801\\uc778 \\ucc45\\uc784\\uacfc \\uc5ed\\ud560\\uc744 \\uac15\\uc870\\ud55c\\ub2e4. \\ub2e4\\ub9cc \\uc0ac\\ud68c\\ubcf4\\uc7a5\\uc81c\\ub3c4 \\uc720\\uc9c0\\ub97c \\uc704\\ud574\\n\\uacbd\\uc81c \\ubc1c\\uc804\\uc5d0 \\ub354\\uc6b1 \\ub178\\ub825\\uc744 \\uae30\\uc6b8\\uc5ec\\uc57c\\ud558\\ub294 \\uc5f0\\uad00\\uc131\\uc744 \\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\uacbd\\uc81c \\ubc1c\\uc804\\uacfc \\ubcf5\\uc9c0\\uc5d0 \\uc788\\uc5b4\\uc11c \\uad6d\\uac00\\uc758 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc740 \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\uc640 \\uac19\\uc774 \\uae0d\\uc815\\uc801\\uc778 \\uba74\\uacfc\\n\\ubd80\\uc815\\uc801\\uc778 \\uba74 \\ubaa8\\ub450 \\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\ud558\\uc9c0\\ub9cc \\uc81c\\uc2dc\\ubb38 [\\ub098]\\uc640 [\\ub77c]\\uc640 \\uac19\\uc774 \\ube44\\ud6a8\\uc728\\uc131\\uc744 \\uc5b8\\uae09\\ud560\\n\\uc218\\ub3c4 \\uc788\\uace0 [\\ub2e4]\\uc640 [\\ubc14]\\uc640 \\uac19\\uc774 \\ubcf5\\uc9c0\\uc640 \\uc5f0\\uacc4\\ub41c \\uae0d\\uc815\\uc801\\uc778 \\uba74\\ub3c4 \\uc81c\\uc2dc \\ub420 \\uc218 \\uc788\\ub2e4.\",\n          \"[\\ub098]~[\\uc0ac]\\ub294 \\ub2e4\\uc591\\ud55c \\uc0ac\\ud68c \\ubb38\\uc81c\\uc640 \\uadf8\\uc5d0 \\ub300\\ud55c \\uc124\\uba85\\uc744 \\ub2e4\\ub8e8\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. [\\uac00]\\uc5d0\\uc11c\\ub294 \\uc678\\uad6d\\uc778 \\ub178\\ub3d9\\uc790\\uc640 \\uacb0\\ud63c \\uc774\\ubbfc\\uc790\\ub4e4\\uc774 \\uc678\\uad6d\\uc778\\uc73c\\ub85c \\uc778\\uc2dd\\ub418\\uc5b4 \\uc0ac\\ud68c\\uc801\\uc73c\\ub85c \\ud1b5\\ud569\\ub418\\ub294 \\ub370 \\uc5b4\\ub824\\uc6c0\\uc744 \\uacaa\\ub294 \\ubb38\\uc81c\\ub97c \\ub2e4\\ub8e8\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uadf8\\ub4e4\\uc740 \\uc5b8\\uc5b4 \\uc18c\\ud1b5\\uc758 \\uc5b4\\ub824\\uc6c0\\uacfc \\ucde8\\uc5c5 \\uc815\\ubcf4 \\ubd80\\uc871\\uc73c\\ub85c \\uc77c\\uc790\\ub9ac\\ub97c \\uc5bb\\ub294 \\ub370 \\uc5b4\\ub824\\uc6c0\\uc744 \\uacaa\\uc73c\\uba70, \\uc6b0\\ub9ac \\uc0ac\\ud68c\\uc758 \\ud3b8\\uacac\\uacfc \\ucc28\\ubcc4\\ub85c \\uc778\\ud574 \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc5d0 \\ub9ce\\uc740 \\uc7a5\\uc560\\ub97c \\uacaa\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\uc5d0 \\ub300\\uc751\\ud558\\uae30 \\uc704\\ud574\\uc11c\\ub294 \\uc678\\uad6d\\uc778\\uc5d0 \\ub300\\ud55c \\uc778\\uc2dd\\uacfc \\ud0dc\\ub3c4\\ub97c \\uac1c\\uc120\\ud558\\uace0, \\uadf8\\ub4e4\\uc758 \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc744 \\ucd09\\uc9c4\\ud558\\ub294 \\uc815\\ucc45\\uacfc \\ud504\\ub85c\\uadf8\\ub7a8\\uc744 \\ub354\\uc6b1 \\uac15\\ud654\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n\\uc774\\ub97c \\uc704\\ud574\\uc11c\\ub294 [\\ub098]\\uc5d0\\uc11c \\uc9c0\\uc801\\ud55c \\uac83\\ucc98\\ub7fc, \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0b6\\uc758 \\ubc29\\uc2dd\\uc744 \\uc774\\ud574\\ud558\\uace0 \\uacf5\\uc720\\uc758 \\uc758\\ubbf8\\ub97c \\ub418\\uc0c8\\uaca8\\uc57c \\ud569\\ub2c8\\ub2e4. \\uc0ac\\ub78c\\ub4e4\\uc740 \\ucc28\\uc774\\ub97c \\uc778\\uc815\\ud558\\uace0 \\uc0b4\\uc544\\uac00\\ub294 \\ub370 \\ud544\\uc694\\ud55c \\uae30\\uc220\\uc744 \\uc2b5\\ub4dd\\ud558\\uace0, \\ub0af\\uc120 \\uc0ac\\ub78c\\ub4e4\\uacfc\\uc758 \\ub300\\uba74\\uc744 \\ub450\\ub824\\uc6cc\\ud558\\uc9c0 \\uc54a\\uace0 \\uc11c\\ub85c\\uc5d0\\uac8c \\uc5f4\\ub9b0 \\ud0dc\\ub3c4\\ub97c \\uac00\\uc9c8 \\ud544\\uc694\\uac00 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub294 [\\ub2e4]\\uc5d0\\uc11c \\uc5b8\\uae09\\ub41c \\uc5f0\\ub300\\uc640 \\uc18c\\uc18d \\uc758\\ubb34\\uc758 \\uac1c\\ub150\\uacfc\\ub3c4 \\uc5f0\\uacb0\\ub429\\ub2c8\\ub2e4. \\uc6b0\\ub9ac\\ub294 \\ub2e4\\ubb38\\ud654 \\uc0ac\\ud68c\\uc5d0\\uc11c \\uc0c1\\ud638 \\uc874\\uc911\\uacfc \\uc774\\ud574\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ud568\\uaed8 \\uc0b4\\uc544\\uac00\\uc57c \\ud568\\uc744 \\uae68\\ub2eb\\uace0, \\ub3c4\\ub355\\uc801 \\ucc45\\uc784\\uacfc \\uc0ac\\ud68c\\uc801 \\uc5f0\\ub300\\ub97c \\uc2e4\\ucc9c\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n\\uadf8\\ub9ac\\uace0 [\\uc0ac]\\uc5d0\\uc11c\\ub294 \\ucee4\\ubba4\\ub2c8\\ucf00\\uc774\\uc158 \\uae30\\uc220\\uc758 \\ubc1c\\ub2ec\\uc744 \\ud1b5\\ud574 \\uc0ac\\ud68c\\uc801 \\uc5f0\\uacb0\\ub9dd\\uacfc \\uad00\\uacc4\\uc131\\uc758 \\ud3ed\\uc774 \\ub113\\uc5b4\\uc9c0\\uace0 \\uc788\\ub2e4\\uace0 \\uc5b8\\uae09\\ud558\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub7ec\\ud55c \\ud2b8\\ub80c\\ub4dc\\ub97c \\ud65c\\uc6a9\\ud558\\uc5ec \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0ac\\ub78c\\ub4e4 \\uac04\\uc5d0 \\uacf5\\uac10\\uacfc \\uc774\\ud574\\ub97c \\ub3c4\\ubaa8\\ud558\\ub294 \\uac83\\uc774 \\uc911\\uc694\\ud569\\ub2c8\\ub2e4. \\ud2b9\\ud788 \\uc778\\ud130\\ub137\\uacfc \\uac19\\uc740 \\ub9e4\\uccb4\\ub97c \\ud1b5\\ud574 \\uc9c4\\uc815\\ud55c \\uc790\\uc544\\ub97c \\ub4dc\\ub7ec\\ub0b4\\uace0 \\uacf5\\uac10\\uc801 \\uc720\\ub300\\ub098 \\uad00\\uacc4\\ub97c \\ud615\\uc131\\ud560 \\uc218 \\uc788\\ub294 \\uae30\\ud68c\\ub97c \\ud655\\ub300\\ud558\\ub294 \\uac83\\uc774 \\ud544\\uc694\\ud569\\ub2c8\\ub2e4.\\n\\n\\ub530\\ub77c\\uc11c, \\uc678\\uad6d\\uc778\\uc5d0 \\ub300\\ud55c \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc744 \\uc704\\ud574\\uc11c\\ub294 \\ud3b8\\uacac\\uacfc \\ucc28\\ubcc4\\uc744 \\uadf9\\ubcf5\\ud558\\uace0, \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0ac\\ub78c\\ub4e4\\uacfc\\uc758 \\uc0c1\\ud638\\uc791\\uc6a9\\uc744 \\ucd09\\uc9c4\\ud558\\ub294 \\uc815\\ucc45\\uacfc \\ud504\\ub85c\\uadf8\\ub7a8\\uc744 \\ub354\\uc6b1 \\uac15\\ud654\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4. \\ub610\\ud55c, \\uc0ac\\ud68c\\uc801 \\uc5f0\\ub300\\uc640 \\uc18c\\uc18d \\uc758\\ubb34\\ub97c \\uc778\\uc2dd\\ud558\\uace0, \\uc0c1\\ud638 \\uc874\\uc911\\uacfc \\uc774\\ud574\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ub2e4\\ubb38\\ud654 \\uc0ac\\ud68c\\uc5d0\\uc11c \\ud568\\uaed8 \\uc0b4\\uc544\\uac00\\ub294 \\ubc29\\ubc95\\uc744 \\ubaa8\\uc0c9\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_df['generated_probabilty'] = ['NULL']*502\n",
        "test_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "y_Oan0OU3PHE",
        "outputId": "12120c25-00a0-42b8-c4ca-156bd5ece14d"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                             생성 Text  label  \\\n",
              "0  \\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...      1   \n",
              "1  제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...      1   \n",
              "2  주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...      1   \n",
              "3  네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...      1   \n",
              "4  네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...      1   \n",
              "\n",
              "  generated_probabilty  \n",
              "0                 NULL  \n",
              "1                 NULL  \n",
              "2                 NULL  \n",
              "3                 NULL  \n",
              "4                 NULL  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5a9bd406-6590-455a-9ad9-07693805970f\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>생성 Text</th>\n",
              "      <th>label</th>\n",
              "      <th>generated_probabilty</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>\\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5a9bd406-6590-455a-9ad9-07693805970f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-5a9bd406-6590-455a-9ad9-07693805970f button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-5a9bd406-6590-455a-9ad9-07693805970f');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-78a77c08-ba97-4239-bcd5-ef8c368474fa\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-78a77c08-ba97-4239-bcd5-ef8c368474fa')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-78a77c08-ba97-4239-bcd5-ef8c368474fa button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "test_df",
              "summary": "{\n  \"name\": \"test_df\",\n  \"rows\": 502,\n  \"fields\": [\n    {\n      \"column\": \"\\uc0dd\\uc131 Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 501,\n        \"samples\": [\n          \"\\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uc785\\uc7a5\\uc740 \\ub2e8\\uc21c\\ud788 \\uae30\\uc220\\uc801 \\ud574\\uacb0\\ucc45\\uc744 \\ucc3e\\ub294 \\uac83\\uc744 \\ub118\\uc5b4, \\uc0ac\\ud68c\\uc801 \\ucc45\\uc784\\uacfc \\uc778\\uac04\\uc758 \\uc0b6\\uc5d0 \\ub300\\ud55c \\uace0\\ubbfc\\uc744 \\ubc18\\uc601\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4. (\\uac00)\\uc5d0\\uc11c\\ub294 \\uc9c0\\uad6c \\uc628\\ub09c\\ud654\\ub85c \\uc778\\ud55c \\uc778\\ub958\\uc758 \\uace0\\ud1b5\\uc744 \\uac15\\uc870\\ud558\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub7ec\\ud55c \\uc0c1\\ud669\\uc5d0\\uc11c \\uc6b0\\ub9ac\\ub294 \\ub2e8\\uc21c\\ud788 \\uae30\\ud6c4 \\uae30\\uc220\\uc758 \\ubc1c\\uc804\\ub9cc\\uc73c\\ub85c \\ubb38\\uc81c\\ub97c \\ud574\\uacb0\\ud560 \\uc218 \\uc5c6\\ub2e4\\ub294 \\uc810\\uc744 \\uc778\\uc2dd\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n(\\ub098)\\uc5d0\\uc11c\\ub294 \\uc694\\ub098\\uc2a4\\uc758 \\ucc45\\uc784\\uc758 \\uba85\\ubc95\\uacfc \\uc9c0\\uc18d \\uac00\\ub2a5\\ud55c \\ubc1c\\uc804\\uc758 \\uac1c\\ub150\\uc774 \\uc18c\\uac1c\\ub418\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\ud574\\uacb0\\uc740 \\ub2e8\\uc21c\\ud788 \\ud604\\uc7ac \\uc138\\ub300\\uc758 \\uc774\\uc775\\uc744 \\uc704\\ud55c \\uac83\\uc774 \\uc544\\ub2c8\\ub77c \\ubbf8\\ub798 \\uc138\\ub300\\uc640 \\uc790\\uc5f0\\uc5d0 \\ub300\\ud55c \\ucc45\\uc784\\uc744 \\uace0\\ub824\\ud569\\ub2c8\\ub2e4.\\n\\n(\\ub2e4)\\uc5d0\\uc11c\\ub294 \\ubbf8\\uc138\\uba3c\\uc9c0\\ub85c \\uc778\\ud55c \\ud658\\uacbd \\ubb38\\uc81c\\uac00 \\uacbd\\uc81c\\uc801 \\ubd88\\ud3c9\\ub4f1\\uc744 \\uc2ec\\ud654\\uc2dc\\ud0a4\\uace0 \\uc788\\ub294 \\ud604\\uc2e4\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4. \\uc774\\ub294 \\ud658\\uacbd \\ubb38\\uc81c\\uac00 \\ub2e8\\uc21c\\ud788 \\uae30\\uc220\\uc801\\uc778 \\uce21\\uba74\\ubfd0 \\uc544\\ub2c8\\ub77c \\uc0ac\\ud68c\\uc801, \\uacbd\\uc81c\\uc801 \\uce21\\uba74\\uc5d0\\uc11c\\ub3c4 \\uc2ec\\uac01\\ud55c \\ubb38\\uc81c\\uc784\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4.\\n\\n(\\ub77c)\\uc5d0\\uc11c\\ub294 \\uad6d\\uac00\\uc640 \\uad6d\\ubbfc \\uac04\\uc758 \\uc0c1\\ud638\\ucc45\\uc784\\uacfc \\ubcf5\\uc9c0\\uad8c\\uc5d0 \\ub300\\ud55c \\uc774\\uc57c\\uae30\\uac00 \\ub098\\uc635\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\ub294 \\uac1c\\uc778\\uc758 \\uc790\\uc720\\uc640 \\uad8c\\ub9ac\\ubfd0\\ub9cc \\uc544\\ub2c8\\ub77c \\uad6d\\uac00\\uc758 \\ucc45\\uc784\\uacfc \\uad6d\\ubbfc\\uc758 \\ubcf5\\uc9c0\\uad8c\\uacfc\\ub3c4 \\uc5f0\\uacb0\\ub418\\uc5b4 \\uc788\\uc74c\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4.\\n\\n\\uc774\\ub7ec\\ud55c \\uad00\\uc810\\uc5d0\\uc11c \\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uc785\\uc7a5\\uc740 \\ub2e8\\uc21c\\ud788 \\ud658\\uacbd\\uc744 \\ubcf4\\ud638\\ud558\\uace0 \\uae30\\uc220\\uc801\\uc778 \\ud574\\uacb0\\ucc45\\uc744 \\ubaa8\\uc0c9\\ud558\\ub294 \\uac83\\uc744 \\ub118\\uc5b4, \\uc0ac\\ud68c\\uc801 \\ucc45\\uc784\\uacfc \\ubbf8\\ub798 \\uc138\\ub300\\uc5d0 \\ub300\\ud55c \\ubc30\\ub824\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ud574\\uacb0\\ucc45\\uc744 \\ubaa8\\uc0c9\\ud574\\uc57c \\ud55c\\ub2e4\\ub294 \\uac83\\uc785\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\ub294 \\uc6b0\\ub9ac\\uc758 \\uc0b6\\uacfc \\ubbf8\\ub798\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uace0\\ubbfc\\uc758 \\ub300\\uc0c1\\uc774\\uba70, \\uc774\\ub97c \\ud574\\uacb0\\ud558\\uae30 \\uc704\\ud574\\uc11c\\ub294 \\uc0ac\\ud68c\\uc801, \\uacbd\\uc81c\\uc801, \\uc778\\uac04\\uc801\\uc778 \\uce21\\uba74\\uc744 \\ubaa8\\ub450 \\uace0\\ub824\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\",\n          \"\\uc81c\\uc2dc\\ubb38 [\\uac00]\\ub294 \\uc815\\ubd80\\uac00 \\uc2dc\\uc7a5 \\uacbd\\uc81c \\uac1c\\uc785\\uc5d0 \\uc788\\uc5b4\\uc11c \\uad6d\\uac00\\uc801 \\uc774\\uc775 \\ubcf4\\ud638\\ub97c \\uc704\\ud55c \\ubaa9\\uc801\\uc744 \\uac00\\n\\uc9c0\\uace0 \\uc2dc\\uc7a5 \\uacbd\\uc81c \\uac1c\\uc785\\uc5d0 \\ub300\\ud55c \\uc815\\ub2f9\\uc131\\uc744 \\ud655\\ubcf4\\ud558\\ub294 \\uae0d\\uc815\\uc801\\uc778 \\uba74\\uc744 \\uac15\\uc870\\ud558\\uace0 \\uc788\\ub2e4. \\uc774\\ub7f0\\n\\uc815\\ubd80\\uc758 \\uc5ed\\ud560\\uc744 \\ubc14\\ud0d5\\uc73c\\ub85c \\uc81c\\uc2dc\\ubb38 [\\ub098]\\uc640 [\\ub77c]\\ub294 \\uc815\\ubd80 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc758 \\ubd80\\uc815\\uc801\\uc778 \\uba74, \\uc81c\\uc2dc\\ubb38\\n[\\ub2e4]\\uc640 [\\ubc14]\\ub294 \\uc815\\ubd80 \\uc5ed\\ud560\\uc5d0 \\ub300\\ud55c \\uae0d\\uc815\\uc801\\uc778 \\uba74, \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\ub294 \\uc591\\ucabd \\ubaa8\\ub450\\uac00 \\uc874\\uc7ac\\ud55c\\ub2e4\\ub294\\n\\uacb0\\uacfc\\ub97c \\ub3c4\\ucd9c\\ud560 \\uc218 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub098]\\ub294 \\uacf5\\uae30\\uc5c5 \\uacbd\\uc601 \\uc2e4\\uc801\\uc774 \\uc545\\ud654\\ud558\\uc5ec \\ubd80\\ucc44\\uac00 \\uc99d\\uac00\\ud558\\ub294 \\uac83\\uc740 \\uc138\\uae08\\uc73c\\ub85c \\ucda9\\ub2f9\\ub418\\n\\ub294 \\uacf5\\uae30\\uc5c5\\uc758 \\uc6b4\\uc601\\uc0c1 \\uad6d\\ubbfc\\uc5d0\\uac8c \\uadf8\\ub9ac\\uace0 \\uad6d\\uac00 \\uacbd\\uc81c\\uc5d0 \\uc7ac\\uc815 \\ubd80\\ub2f4\\uc744 \\uc548\\uaca8\\uc8fc\\ub294 \\ubd80\\uc815\\uc801 \\uc601\\ud5a5\\n\\uc744 \\uc900\\ub2e4\\ub294 \\uac83\\uc774\\ub2e4. \\ub530\\ub77c\\uc11c \\uc81c\\uc2dc\\ubb38 [\\ub098]\\ub294 \\uc815\\ubd80\\uc758 \\uacf5\\uae30\\uc5c5\\uc744 \\ud1b5\\ud55c \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc740 \\uacbd\\uc81c \\ubc1c\\n\\uc804\\uc5d0 \\ubd80\\uc815\\uc801 \\uc601\\ud5a5\\uc744 \\uc900\\ub2e4\\ub294 \\uac83\\uc744 \\ubcf4\\uc5ec \\uc900\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub2e4]\\uc5d0\\uc11c \\uad6d\\uac00\\ub294 \\uc0ac\\ud68c \\ubcf4\\ud5d8\\uc744 \\ud1b5\\ud574\\uc11c \\uad6d\\ubbfc\\uc744 \\ubcf4\\ud638\\ud558\\ub294 \\ucc45\\uc784\\uacfc \\uc5ed\\ud560\\uc744 \\uc218\\ud589\\ud558\\n\\uc9c0\\ub9cc, \\uad6d\\ubbfc \\uac74\\uac15 \\ubcf4\\ud5d8, \\uad6d\\ubbfc\\uc5f0\\uae08 \\ub4f1\\uc740 \\uad6d\\uac00\\uc758 \\uc7ac\\uc815\\uc801 \\ubd80\\ub2f4\\uc744 \\uc545\\ud654\\uc2dc\\ud0ac \\uc218 \\uc788\\ub294 \\uc704\\ud5d8\\n\\uc694\\uc18c\\uc774\\uba70 \\uacbd\\uc81c\\uc801\\uc778 \\uce21\\uba74\\uc73c\\ub85c \\ubcf4\\uc558\\uc744 \\ub54c \\ubd80\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uc744 \\uc904 \\uc218 \\uc788\\ub294 \\uc7a0\\uc7ac\\uc801 \\uc694\\uc18c\\ub4e4\\uc744\\n\\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub77c]\\ub294 \\uc5ed\\uc0ac\\uc801 \\uc0ac\\uc2e4\\uc744 \\ud1a0\\ub300\\ub85c \\uc815\\ubd80\\uac00 \\uc2dc\\uc7a5 \\uacbd\\uc81c\\uc5d0 \\uac1c\\uc785\\ud574\\uc11c \\uc2a4\\ud0dc\\uadf8\\ud50c\\ub808\\uc774\\uc158\\uc774\\n\\uc0dd\\uaca8\\ub098\\uace0 \\uc774\\ub294 \\uc815\\ubd80\\uc758 \\uac1c\\uc785\\uc744 \\ucd95\\uc18c\\ud574\\uc57c \\ud55c\\ub2e4\\ub294 \\uc2e0\\uc790\\uc720\\uc8fc\\uc758 \\uc8fc\\uc7a5\\uc5d0\\ub3c4 \\uc5f0\\uacb0\\uc774 \\ub418\\uace0 \\uc788\\n\\ub2e4. \\ud2b9\\ud788 \\uc11d\\uc720 \\ud30c\\ub3d9 \\ub4f1 \\uc704\\uae30 \\uc0c1\\ud669\\uc5d0\\uc11c \\uc815\\ubd80\\uc758 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc774 \\ubb38\\uc81c \\ud574\\uacb0\\uc5d0 \\ub3c4\\uc6c0\\uc774 \\ub418\\uc9c0\\n\\uc54a\\ub294\\ub2e4\\ub294 \\uc810\\uc744 \\ub098\\ud0c0\\ub0b4\\uace0 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\ub294 \\uc601\\uad6d\\uc758 \\ube0c\\ub809\\uc2dc\\ud2b8 \\uc758\\uc0ac\\uacb0\\uc815\\uc774 \\uacbd\\uc81c\\uc5d0 \\uae0d\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uacfc \\ubd80\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uc744\\n\\ub3d9\\uc2dc\\uc5d0 \\uc904 \\uc218 \\uc788\\ub294 \\uc810\\uc744 \\uac15\\uc870\\ud55c\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ubc14]\\ub294 \\uad6d\\uac00\\uac00 \\uad6d\\ubbfc\\uc744 \\uc704\\ud574 \\uc758\\ub8cc\\ube44, \\uc2e4\\uc9c1\\n\\uc2dc \\uc0dd\\uacc4 \\uc9c0\\uc6d0 \\ub4f1 \\ubcf5\\uc9c0\\uc801\\uc778 \\ucc45\\uc784\\uacfc \\uc5ed\\ud560\\uc744 \\uac15\\uc870\\ud55c\\ub2e4. \\ub2e4\\ub9cc \\uc0ac\\ud68c\\ubcf4\\uc7a5\\uc81c\\ub3c4 \\uc720\\uc9c0\\ub97c \\uc704\\ud574\\n\\uacbd\\uc81c \\ubc1c\\uc804\\uc5d0 \\ub354\\uc6b1 \\ub178\\ub825\\uc744 \\uae30\\uc6b8\\uc5ec\\uc57c\\ud558\\ub294 \\uc5f0\\uad00\\uc131\\uc744 \\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\uacbd\\uc81c \\ubc1c\\uc804\\uacfc \\ubcf5\\uc9c0\\uc5d0 \\uc788\\uc5b4\\uc11c \\uad6d\\uac00\\uc758 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc740 \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\uc640 \\uac19\\uc774 \\uae0d\\uc815\\uc801\\uc778 \\uba74\\uacfc\\n\\ubd80\\uc815\\uc801\\uc778 \\uba74 \\ubaa8\\ub450 \\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\ud558\\uc9c0\\ub9cc \\uc81c\\uc2dc\\ubb38 [\\ub098]\\uc640 [\\ub77c]\\uc640 \\uac19\\uc774 \\ube44\\ud6a8\\uc728\\uc131\\uc744 \\uc5b8\\uae09\\ud560\\n\\uc218\\ub3c4 \\uc788\\uace0 [\\ub2e4]\\uc640 [\\ubc14]\\uc640 \\uac19\\uc774 \\ubcf5\\uc9c0\\uc640 \\uc5f0\\uacc4\\ub41c \\uae0d\\uc815\\uc801\\uc778 \\uba74\\ub3c4 \\uc81c\\uc2dc \\ub420 \\uc218 \\uc788\\ub2e4.\",\n          \"[\\ub098]~[\\uc0ac]\\ub294 \\ub2e4\\uc591\\ud55c \\uc0ac\\ud68c \\ubb38\\uc81c\\uc640 \\uadf8\\uc5d0 \\ub300\\ud55c \\uc124\\uba85\\uc744 \\ub2e4\\ub8e8\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. [\\uac00]\\uc5d0\\uc11c\\ub294 \\uc678\\uad6d\\uc778 \\ub178\\ub3d9\\uc790\\uc640 \\uacb0\\ud63c \\uc774\\ubbfc\\uc790\\ub4e4\\uc774 \\uc678\\uad6d\\uc778\\uc73c\\ub85c \\uc778\\uc2dd\\ub418\\uc5b4 \\uc0ac\\ud68c\\uc801\\uc73c\\ub85c \\ud1b5\\ud569\\ub418\\ub294 \\ub370 \\uc5b4\\ub824\\uc6c0\\uc744 \\uacaa\\ub294 \\ubb38\\uc81c\\ub97c \\ub2e4\\ub8e8\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uadf8\\ub4e4\\uc740 \\uc5b8\\uc5b4 \\uc18c\\ud1b5\\uc758 \\uc5b4\\ub824\\uc6c0\\uacfc \\ucde8\\uc5c5 \\uc815\\ubcf4 \\ubd80\\uc871\\uc73c\\ub85c \\uc77c\\uc790\\ub9ac\\ub97c \\uc5bb\\ub294 \\ub370 \\uc5b4\\ub824\\uc6c0\\uc744 \\uacaa\\uc73c\\uba70, \\uc6b0\\ub9ac \\uc0ac\\ud68c\\uc758 \\ud3b8\\uacac\\uacfc \\ucc28\\ubcc4\\ub85c \\uc778\\ud574 \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc5d0 \\ub9ce\\uc740 \\uc7a5\\uc560\\ub97c \\uacaa\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\uc5d0 \\ub300\\uc751\\ud558\\uae30 \\uc704\\ud574\\uc11c\\ub294 \\uc678\\uad6d\\uc778\\uc5d0 \\ub300\\ud55c \\uc778\\uc2dd\\uacfc \\ud0dc\\ub3c4\\ub97c \\uac1c\\uc120\\ud558\\uace0, \\uadf8\\ub4e4\\uc758 \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc744 \\ucd09\\uc9c4\\ud558\\ub294 \\uc815\\ucc45\\uacfc \\ud504\\ub85c\\uadf8\\ub7a8\\uc744 \\ub354\\uc6b1 \\uac15\\ud654\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n\\uc774\\ub97c \\uc704\\ud574\\uc11c\\ub294 [\\ub098]\\uc5d0\\uc11c \\uc9c0\\uc801\\ud55c \\uac83\\ucc98\\ub7fc, \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0b6\\uc758 \\ubc29\\uc2dd\\uc744 \\uc774\\ud574\\ud558\\uace0 \\uacf5\\uc720\\uc758 \\uc758\\ubbf8\\ub97c \\ub418\\uc0c8\\uaca8\\uc57c \\ud569\\ub2c8\\ub2e4. \\uc0ac\\ub78c\\ub4e4\\uc740 \\ucc28\\uc774\\ub97c \\uc778\\uc815\\ud558\\uace0 \\uc0b4\\uc544\\uac00\\ub294 \\ub370 \\ud544\\uc694\\ud55c \\uae30\\uc220\\uc744 \\uc2b5\\ub4dd\\ud558\\uace0, \\ub0af\\uc120 \\uc0ac\\ub78c\\ub4e4\\uacfc\\uc758 \\ub300\\uba74\\uc744 \\ub450\\ub824\\uc6cc\\ud558\\uc9c0 \\uc54a\\uace0 \\uc11c\\ub85c\\uc5d0\\uac8c \\uc5f4\\ub9b0 \\ud0dc\\ub3c4\\ub97c \\uac00\\uc9c8 \\ud544\\uc694\\uac00 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub294 [\\ub2e4]\\uc5d0\\uc11c \\uc5b8\\uae09\\ub41c \\uc5f0\\ub300\\uc640 \\uc18c\\uc18d \\uc758\\ubb34\\uc758 \\uac1c\\ub150\\uacfc\\ub3c4 \\uc5f0\\uacb0\\ub429\\ub2c8\\ub2e4. \\uc6b0\\ub9ac\\ub294 \\ub2e4\\ubb38\\ud654 \\uc0ac\\ud68c\\uc5d0\\uc11c \\uc0c1\\ud638 \\uc874\\uc911\\uacfc \\uc774\\ud574\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ud568\\uaed8 \\uc0b4\\uc544\\uac00\\uc57c \\ud568\\uc744 \\uae68\\ub2eb\\uace0, \\ub3c4\\ub355\\uc801 \\ucc45\\uc784\\uacfc \\uc0ac\\ud68c\\uc801 \\uc5f0\\ub300\\ub97c \\uc2e4\\ucc9c\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n\\uadf8\\ub9ac\\uace0 [\\uc0ac]\\uc5d0\\uc11c\\ub294 \\ucee4\\ubba4\\ub2c8\\ucf00\\uc774\\uc158 \\uae30\\uc220\\uc758 \\ubc1c\\ub2ec\\uc744 \\ud1b5\\ud574 \\uc0ac\\ud68c\\uc801 \\uc5f0\\uacb0\\ub9dd\\uacfc \\uad00\\uacc4\\uc131\\uc758 \\ud3ed\\uc774 \\ub113\\uc5b4\\uc9c0\\uace0 \\uc788\\ub2e4\\uace0 \\uc5b8\\uae09\\ud558\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub7ec\\ud55c \\ud2b8\\ub80c\\ub4dc\\ub97c \\ud65c\\uc6a9\\ud558\\uc5ec \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0ac\\ub78c\\ub4e4 \\uac04\\uc5d0 \\uacf5\\uac10\\uacfc \\uc774\\ud574\\ub97c \\ub3c4\\ubaa8\\ud558\\ub294 \\uac83\\uc774 \\uc911\\uc694\\ud569\\ub2c8\\ub2e4. \\ud2b9\\ud788 \\uc778\\ud130\\ub137\\uacfc \\uac19\\uc740 \\ub9e4\\uccb4\\ub97c \\ud1b5\\ud574 \\uc9c4\\uc815\\ud55c \\uc790\\uc544\\ub97c \\ub4dc\\ub7ec\\ub0b4\\uace0 \\uacf5\\uac10\\uc801 \\uc720\\ub300\\ub098 \\uad00\\uacc4\\ub97c \\ud615\\uc131\\ud560 \\uc218 \\uc788\\ub294 \\uae30\\ud68c\\ub97c \\ud655\\ub300\\ud558\\ub294 \\uac83\\uc774 \\ud544\\uc694\\ud569\\ub2c8\\ub2e4.\\n\\n\\ub530\\ub77c\\uc11c, \\uc678\\uad6d\\uc778\\uc5d0 \\ub300\\ud55c \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc744 \\uc704\\ud574\\uc11c\\ub294 \\ud3b8\\uacac\\uacfc \\ucc28\\ubcc4\\uc744 \\uadf9\\ubcf5\\ud558\\uace0, \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0ac\\ub78c\\ub4e4\\uacfc\\uc758 \\uc0c1\\ud638\\uc791\\uc6a9\\uc744 \\ucd09\\uc9c4\\ud558\\ub294 \\uc815\\ucc45\\uacfc \\ud504\\ub85c\\uadf8\\ub7a8\\uc744 \\ub354\\uc6b1 \\uac15\\ud654\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4. \\ub610\\ud55c, \\uc0ac\\ud68c\\uc801 \\uc5f0\\ub300\\uc640 \\uc18c\\uc18d \\uc758\\ubb34\\ub97c \\uc778\\uc2dd\\ud558\\uace0, \\uc0c1\\ud638 \\uc874\\uc911\\uacfc \\uc774\\ud574\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ub2e4\\ubb38\\ud654 \\uc0ac\\ud68c\\uc5d0\\uc11c \\ud568\\uaed8 \\uc0b4\\uc544\\uac00\\ub294 \\ubc29\\ubc95\\uc744 \\ubaa8\\uc0c9\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"generated_probabilty\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"NULL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import time\n",
        "\n",
        "results = []\n",
        "\n",
        "for i in range(len(test_df)):\n",
        "  generated_text = test_df.iloc[i,0]\n",
        "  prompt_template = f'''\n",
        "  ### Instruction\n",
        "\n",
        "  I will give you some sentence written in korean\n",
        "  Please answer only in number which means the probabilty that the written text\n",
        "  is generated by LLM(AI)\n",
        "  Please only answer between 0 and 100 and your answer should only in number format.\n",
        "  Do not answer multiple number format only one number answer should be returned.\n",
        "\n",
        "  And here is my total Sentence\n",
        "  {generated_text}\n",
        "  '''\n",
        "\n",
        "  answer = chat_gemini(prompt_template)\n",
        "  results.append(answer)\n",
        "  time.sleep(3)\n",
        "\n",
        "  if i%10 == 0:\n",
        "    print(f\"progress : {i}\")\n",
        "\n",
        "test_df['generated_probability'] = results"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zf-9N-Tv7QPa",
        "outputId": "b9a0c57b-3c39-4391-c8ac-d76066c9c23e"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "progress : 0\n",
            "progress : 10\n",
            "progress : 20\n",
            "progress : 30\n",
            "progress : 40\n",
            "progress : 50\n",
            "progress : 60\n",
            "progress : 70\n",
            "progress : 80\n",
            "progress : 90\n",
            "progress : 100\n",
            "progress : 110\n",
            "progress : 120\n",
            "progress : 130\n",
            "progress : 140\n",
            "progress : 150\n",
            "progress : 160\n",
            "progress : 170\n",
            "progress : 180\n",
            "progress : 190\n",
            "progress : 200\n",
            "progress : 210\n",
            "progress : 220\n",
            "progress : 230\n",
            "progress : 240\n",
            "progress : 250\n",
            "progress : 260\n",
            "progress : 270\n",
            "progress : 280\n",
            "progress : 290\n",
            "progress : 300\n",
            "progress : 310\n",
            "progress : 320\n",
            "progress : 330\n",
            "progress : 340\n",
            "progress : 350\n",
            "progress : 360\n",
            "progress : 370\n",
            "progress : 380\n",
            "progress : 390\n",
            "progress : 400\n",
            "progress : 410\n",
            "progress : 420\n",
            "progress : 430\n",
            "progress : 440\n",
            "progress : 450\n",
            "progress : 460\n",
            "progress : 470\n",
            "progress : 480\n",
            "progress : 490\n",
            "progress : 500\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_df.to_excel('/content/drive/MyDrive/result.xlsx',index=False)"
      ],
      "metadata": {
        "id": "YOPGCQvM51Ux"
      },
      "execution_count": 64,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "LgAvgoevJp3r",
        "outputId": "d79f0248-db54-48e7-ca3d-0fe66a5d7677"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                             생성 Text  label  \\\n",
              "0  \\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...      1   \n",
              "1  제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...      1   \n",
              "2  주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...      1   \n",
              "3  네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...      1   \n",
              "4  네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...      1   \n",
              "\n",
              "  generated_probabilty                              generated_probability  \n",
              "0                 NULL  ## 확률 분석 결과:\\n\\n**제시문 (가): 95**\\n**제시문 (나): 70...  \n",
              "1                 NULL                                                 55  \n",
              "2                 NULL                                                 30  \n",
              "3                 NULL  ## 70 \\n\\nThis is a complex question that requ...  \n",
              "4                 NULL                                                 75  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6a0f3338-ecc9-43b4-9a29-cbb5563290ba\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>생성 Text</th>\n",
              "      <th>label</th>\n",
              "      <th>generated_probabilty</th>\n",
              "      <th>generated_probability</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>\\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>## 확률 분석 결과:\\n\\n**제시문 (가): 95**\\n**제시문 (나): 70...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>## 70 \\n\\nThis is a complex question that requ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>75</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6a0f3338-ecc9-43b4-9a29-cbb5563290ba')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-6a0f3338-ecc9-43b4-9a29-cbb5563290ba button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-6a0f3338-ecc9-43b4-9a29-cbb5563290ba');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-f14dbe4d-0137-4444-801d-db66be843947\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f14dbe4d-0137-4444-801d-db66be843947')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f14dbe4d-0137-4444-801d-db66be843947 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "test_df",
              "summary": "{\n  \"name\": \"test_df\",\n  \"rows\": 502,\n  \"fields\": [\n    {\n      \"column\": \"\\uc0dd\\uc131 Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 501,\n        \"samples\": [\n          \"\\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uc785\\uc7a5\\uc740 \\ub2e8\\uc21c\\ud788 \\uae30\\uc220\\uc801 \\ud574\\uacb0\\ucc45\\uc744 \\ucc3e\\ub294 \\uac83\\uc744 \\ub118\\uc5b4, \\uc0ac\\ud68c\\uc801 \\ucc45\\uc784\\uacfc \\uc778\\uac04\\uc758 \\uc0b6\\uc5d0 \\ub300\\ud55c \\uace0\\ubbfc\\uc744 \\ubc18\\uc601\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4. (\\uac00)\\uc5d0\\uc11c\\ub294 \\uc9c0\\uad6c \\uc628\\ub09c\\ud654\\ub85c \\uc778\\ud55c \\uc778\\ub958\\uc758 \\uace0\\ud1b5\\uc744 \\uac15\\uc870\\ud558\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub7ec\\ud55c \\uc0c1\\ud669\\uc5d0\\uc11c \\uc6b0\\ub9ac\\ub294 \\ub2e8\\uc21c\\ud788 \\uae30\\ud6c4 \\uae30\\uc220\\uc758 \\ubc1c\\uc804\\ub9cc\\uc73c\\ub85c \\ubb38\\uc81c\\ub97c \\ud574\\uacb0\\ud560 \\uc218 \\uc5c6\\ub2e4\\ub294 \\uc810\\uc744 \\uc778\\uc2dd\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n(\\ub098)\\uc5d0\\uc11c\\ub294 \\uc694\\ub098\\uc2a4\\uc758 \\ucc45\\uc784\\uc758 \\uba85\\ubc95\\uacfc \\uc9c0\\uc18d \\uac00\\ub2a5\\ud55c \\ubc1c\\uc804\\uc758 \\uac1c\\ub150\\uc774 \\uc18c\\uac1c\\ub418\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\ud574\\uacb0\\uc740 \\ub2e8\\uc21c\\ud788 \\ud604\\uc7ac \\uc138\\ub300\\uc758 \\uc774\\uc775\\uc744 \\uc704\\ud55c \\uac83\\uc774 \\uc544\\ub2c8\\ub77c \\ubbf8\\ub798 \\uc138\\ub300\\uc640 \\uc790\\uc5f0\\uc5d0 \\ub300\\ud55c \\ucc45\\uc784\\uc744 \\uace0\\ub824\\ud569\\ub2c8\\ub2e4.\\n\\n(\\ub2e4)\\uc5d0\\uc11c\\ub294 \\ubbf8\\uc138\\uba3c\\uc9c0\\ub85c \\uc778\\ud55c \\ud658\\uacbd \\ubb38\\uc81c\\uac00 \\uacbd\\uc81c\\uc801 \\ubd88\\ud3c9\\ub4f1\\uc744 \\uc2ec\\ud654\\uc2dc\\ud0a4\\uace0 \\uc788\\ub294 \\ud604\\uc2e4\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4. \\uc774\\ub294 \\ud658\\uacbd \\ubb38\\uc81c\\uac00 \\ub2e8\\uc21c\\ud788 \\uae30\\uc220\\uc801\\uc778 \\uce21\\uba74\\ubfd0 \\uc544\\ub2c8\\ub77c \\uc0ac\\ud68c\\uc801, \\uacbd\\uc81c\\uc801 \\uce21\\uba74\\uc5d0\\uc11c\\ub3c4 \\uc2ec\\uac01\\ud55c \\ubb38\\uc81c\\uc784\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4.\\n\\n(\\ub77c)\\uc5d0\\uc11c\\ub294 \\uad6d\\uac00\\uc640 \\uad6d\\ubbfc \\uac04\\uc758 \\uc0c1\\ud638\\ucc45\\uc784\\uacfc \\ubcf5\\uc9c0\\uad8c\\uc5d0 \\ub300\\ud55c \\uc774\\uc57c\\uae30\\uac00 \\ub098\\uc635\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\ub294 \\uac1c\\uc778\\uc758 \\uc790\\uc720\\uc640 \\uad8c\\ub9ac\\ubfd0\\ub9cc \\uc544\\ub2c8\\ub77c \\uad6d\\uac00\\uc758 \\ucc45\\uc784\\uacfc \\uad6d\\ubbfc\\uc758 \\ubcf5\\uc9c0\\uad8c\\uacfc\\ub3c4 \\uc5f0\\uacb0\\ub418\\uc5b4 \\uc788\\uc74c\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4.\\n\\n\\uc774\\ub7ec\\ud55c \\uad00\\uc810\\uc5d0\\uc11c \\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uc785\\uc7a5\\uc740 \\ub2e8\\uc21c\\ud788 \\ud658\\uacbd\\uc744 \\ubcf4\\ud638\\ud558\\uace0 \\uae30\\uc220\\uc801\\uc778 \\ud574\\uacb0\\ucc45\\uc744 \\ubaa8\\uc0c9\\ud558\\ub294 \\uac83\\uc744 \\ub118\\uc5b4, \\uc0ac\\ud68c\\uc801 \\ucc45\\uc784\\uacfc \\ubbf8\\ub798 \\uc138\\ub300\\uc5d0 \\ub300\\ud55c \\ubc30\\ub824\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ud574\\uacb0\\ucc45\\uc744 \\ubaa8\\uc0c9\\ud574\\uc57c \\ud55c\\ub2e4\\ub294 \\uac83\\uc785\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\ub294 \\uc6b0\\ub9ac\\uc758 \\uc0b6\\uacfc \\ubbf8\\ub798\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uace0\\ubbfc\\uc758 \\ub300\\uc0c1\\uc774\\uba70, \\uc774\\ub97c \\ud574\\uacb0\\ud558\\uae30 \\uc704\\ud574\\uc11c\\ub294 \\uc0ac\\ud68c\\uc801, \\uacbd\\uc81c\\uc801, \\uc778\\uac04\\uc801\\uc778 \\uce21\\uba74\\uc744 \\ubaa8\\ub450 \\uace0\\ub824\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\",\n          \"\\uc81c\\uc2dc\\ubb38 [\\uac00]\\ub294 \\uc815\\ubd80\\uac00 \\uc2dc\\uc7a5 \\uacbd\\uc81c \\uac1c\\uc785\\uc5d0 \\uc788\\uc5b4\\uc11c \\uad6d\\uac00\\uc801 \\uc774\\uc775 \\ubcf4\\ud638\\ub97c \\uc704\\ud55c \\ubaa9\\uc801\\uc744 \\uac00\\n\\uc9c0\\uace0 \\uc2dc\\uc7a5 \\uacbd\\uc81c \\uac1c\\uc785\\uc5d0 \\ub300\\ud55c \\uc815\\ub2f9\\uc131\\uc744 \\ud655\\ubcf4\\ud558\\ub294 \\uae0d\\uc815\\uc801\\uc778 \\uba74\\uc744 \\uac15\\uc870\\ud558\\uace0 \\uc788\\ub2e4. \\uc774\\ub7f0\\n\\uc815\\ubd80\\uc758 \\uc5ed\\ud560\\uc744 \\ubc14\\ud0d5\\uc73c\\ub85c \\uc81c\\uc2dc\\ubb38 [\\ub098]\\uc640 [\\ub77c]\\ub294 \\uc815\\ubd80 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc758 \\ubd80\\uc815\\uc801\\uc778 \\uba74, \\uc81c\\uc2dc\\ubb38\\n[\\ub2e4]\\uc640 [\\ubc14]\\ub294 \\uc815\\ubd80 \\uc5ed\\ud560\\uc5d0 \\ub300\\ud55c \\uae0d\\uc815\\uc801\\uc778 \\uba74, \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\ub294 \\uc591\\ucabd \\ubaa8\\ub450\\uac00 \\uc874\\uc7ac\\ud55c\\ub2e4\\ub294\\n\\uacb0\\uacfc\\ub97c \\ub3c4\\ucd9c\\ud560 \\uc218 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub098]\\ub294 \\uacf5\\uae30\\uc5c5 \\uacbd\\uc601 \\uc2e4\\uc801\\uc774 \\uc545\\ud654\\ud558\\uc5ec \\ubd80\\ucc44\\uac00 \\uc99d\\uac00\\ud558\\ub294 \\uac83\\uc740 \\uc138\\uae08\\uc73c\\ub85c \\ucda9\\ub2f9\\ub418\\n\\ub294 \\uacf5\\uae30\\uc5c5\\uc758 \\uc6b4\\uc601\\uc0c1 \\uad6d\\ubbfc\\uc5d0\\uac8c \\uadf8\\ub9ac\\uace0 \\uad6d\\uac00 \\uacbd\\uc81c\\uc5d0 \\uc7ac\\uc815 \\ubd80\\ub2f4\\uc744 \\uc548\\uaca8\\uc8fc\\ub294 \\ubd80\\uc815\\uc801 \\uc601\\ud5a5\\n\\uc744 \\uc900\\ub2e4\\ub294 \\uac83\\uc774\\ub2e4. \\ub530\\ub77c\\uc11c \\uc81c\\uc2dc\\ubb38 [\\ub098]\\ub294 \\uc815\\ubd80\\uc758 \\uacf5\\uae30\\uc5c5\\uc744 \\ud1b5\\ud55c \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc740 \\uacbd\\uc81c \\ubc1c\\n\\uc804\\uc5d0 \\ubd80\\uc815\\uc801 \\uc601\\ud5a5\\uc744 \\uc900\\ub2e4\\ub294 \\uac83\\uc744 \\ubcf4\\uc5ec \\uc900\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub2e4]\\uc5d0\\uc11c \\uad6d\\uac00\\ub294 \\uc0ac\\ud68c \\ubcf4\\ud5d8\\uc744 \\ud1b5\\ud574\\uc11c \\uad6d\\ubbfc\\uc744 \\ubcf4\\ud638\\ud558\\ub294 \\ucc45\\uc784\\uacfc \\uc5ed\\ud560\\uc744 \\uc218\\ud589\\ud558\\n\\uc9c0\\ub9cc, \\uad6d\\ubbfc \\uac74\\uac15 \\ubcf4\\ud5d8, \\uad6d\\ubbfc\\uc5f0\\uae08 \\ub4f1\\uc740 \\uad6d\\uac00\\uc758 \\uc7ac\\uc815\\uc801 \\ubd80\\ub2f4\\uc744 \\uc545\\ud654\\uc2dc\\ud0ac \\uc218 \\uc788\\ub294 \\uc704\\ud5d8\\n\\uc694\\uc18c\\uc774\\uba70 \\uacbd\\uc81c\\uc801\\uc778 \\uce21\\uba74\\uc73c\\ub85c \\ubcf4\\uc558\\uc744 \\ub54c \\ubd80\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uc744 \\uc904 \\uc218 \\uc788\\ub294 \\uc7a0\\uc7ac\\uc801 \\uc694\\uc18c\\ub4e4\\uc744\\n\\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub77c]\\ub294 \\uc5ed\\uc0ac\\uc801 \\uc0ac\\uc2e4\\uc744 \\ud1a0\\ub300\\ub85c \\uc815\\ubd80\\uac00 \\uc2dc\\uc7a5 \\uacbd\\uc81c\\uc5d0 \\uac1c\\uc785\\ud574\\uc11c \\uc2a4\\ud0dc\\uadf8\\ud50c\\ub808\\uc774\\uc158\\uc774\\n\\uc0dd\\uaca8\\ub098\\uace0 \\uc774\\ub294 \\uc815\\ubd80\\uc758 \\uac1c\\uc785\\uc744 \\ucd95\\uc18c\\ud574\\uc57c \\ud55c\\ub2e4\\ub294 \\uc2e0\\uc790\\uc720\\uc8fc\\uc758 \\uc8fc\\uc7a5\\uc5d0\\ub3c4 \\uc5f0\\uacb0\\uc774 \\ub418\\uace0 \\uc788\\n\\ub2e4. \\ud2b9\\ud788 \\uc11d\\uc720 \\ud30c\\ub3d9 \\ub4f1 \\uc704\\uae30 \\uc0c1\\ud669\\uc5d0\\uc11c \\uc815\\ubd80\\uc758 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc774 \\ubb38\\uc81c \\ud574\\uacb0\\uc5d0 \\ub3c4\\uc6c0\\uc774 \\ub418\\uc9c0\\n\\uc54a\\ub294\\ub2e4\\ub294 \\uc810\\uc744 \\ub098\\ud0c0\\ub0b4\\uace0 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\ub294 \\uc601\\uad6d\\uc758 \\ube0c\\ub809\\uc2dc\\ud2b8 \\uc758\\uc0ac\\uacb0\\uc815\\uc774 \\uacbd\\uc81c\\uc5d0 \\uae0d\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uacfc \\ubd80\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uc744\\n\\ub3d9\\uc2dc\\uc5d0 \\uc904 \\uc218 \\uc788\\ub294 \\uc810\\uc744 \\uac15\\uc870\\ud55c\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ubc14]\\ub294 \\uad6d\\uac00\\uac00 \\uad6d\\ubbfc\\uc744 \\uc704\\ud574 \\uc758\\ub8cc\\ube44, \\uc2e4\\uc9c1\\n\\uc2dc \\uc0dd\\uacc4 \\uc9c0\\uc6d0 \\ub4f1 \\ubcf5\\uc9c0\\uc801\\uc778 \\ucc45\\uc784\\uacfc \\uc5ed\\ud560\\uc744 \\uac15\\uc870\\ud55c\\ub2e4. \\ub2e4\\ub9cc \\uc0ac\\ud68c\\ubcf4\\uc7a5\\uc81c\\ub3c4 \\uc720\\uc9c0\\ub97c \\uc704\\ud574\\n\\uacbd\\uc81c \\ubc1c\\uc804\\uc5d0 \\ub354\\uc6b1 \\ub178\\ub825\\uc744 \\uae30\\uc6b8\\uc5ec\\uc57c\\ud558\\ub294 \\uc5f0\\uad00\\uc131\\uc744 \\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\uacbd\\uc81c \\ubc1c\\uc804\\uacfc \\ubcf5\\uc9c0\\uc5d0 \\uc788\\uc5b4\\uc11c \\uad6d\\uac00\\uc758 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc740 \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\uc640 \\uac19\\uc774 \\uae0d\\uc815\\uc801\\uc778 \\uba74\\uacfc\\n\\ubd80\\uc815\\uc801\\uc778 \\uba74 \\ubaa8\\ub450 \\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\ud558\\uc9c0\\ub9cc \\uc81c\\uc2dc\\ubb38 [\\ub098]\\uc640 [\\ub77c]\\uc640 \\uac19\\uc774 \\ube44\\ud6a8\\uc728\\uc131\\uc744 \\uc5b8\\uae09\\ud560\\n\\uc218\\ub3c4 \\uc788\\uace0 [\\ub2e4]\\uc640 [\\ubc14]\\uc640 \\uac19\\uc774 \\ubcf5\\uc9c0\\uc640 \\uc5f0\\uacc4\\ub41c \\uae0d\\uc815\\uc801\\uc778 \\uba74\\ub3c4 \\uc81c\\uc2dc \\ub420 \\uc218 \\uc788\\ub2e4.\",\n          \"[\\ub098]~[\\uc0ac]\\ub294 \\ub2e4\\uc591\\ud55c \\uc0ac\\ud68c \\ubb38\\uc81c\\uc640 \\uadf8\\uc5d0 \\ub300\\ud55c \\uc124\\uba85\\uc744 \\ub2e4\\ub8e8\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. [\\uac00]\\uc5d0\\uc11c\\ub294 \\uc678\\uad6d\\uc778 \\ub178\\ub3d9\\uc790\\uc640 \\uacb0\\ud63c \\uc774\\ubbfc\\uc790\\ub4e4\\uc774 \\uc678\\uad6d\\uc778\\uc73c\\ub85c \\uc778\\uc2dd\\ub418\\uc5b4 \\uc0ac\\ud68c\\uc801\\uc73c\\ub85c \\ud1b5\\ud569\\ub418\\ub294 \\ub370 \\uc5b4\\ub824\\uc6c0\\uc744 \\uacaa\\ub294 \\ubb38\\uc81c\\ub97c \\ub2e4\\ub8e8\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uadf8\\ub4e4\\uc740 \\uc5b8\\uc5b4 \\uc18c\\ud1b5\\uc758 \\uc5b4\\ub824\\uc6c0\\uacfc \\ucde8\\uc5c5 \\uc815\\ubcf4 \\ubd80\\uc871\\uc73c\\ub85c \\uc77c\\uc790\\ub9ac\\ub97c \\uc5bb\\ub294 \\ub370 \\uc5b4\\ub824\\uc6c0\\uc744 \\uacaa\\uc73c\\uba70, \\uc6b0\\ub9ac \\uc0ac\\ud68c\\uc758 \\ud3b8\\uacac\\uacfc \\ucc28\\ubcc4\\ub85c \\uc778\\ud574 \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc5d0 \\ub9ce\\uc740 \\uc7a5\\uc560\\ub97c \\uacaa\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\uc5d0 \\ub300\\uc751\\ud558\\uae30 \\uc704\\ud574\\uc11c\\ub294 \\uc678\\uad6d\\uc778\\uc5d0 \\ub300\\ud55c \\uc778\\uc2dd\\uacfc \\ud0dc\\ub3c4\\ub97c \\uac1c\\uc120\\ud558\\uace0, \\uadf8\\ub4e4\\uc758 \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc744 \\ucd09\\uc9c4\\ud558\\ub294 \\uc815\\ucc45\\uacfc \\ud504\\ub85c\\uadf8\\ub7a8\\uc744 \\ub354\\uc6b1 \\uac15\\ud654\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n\\uc774\\ub97c \\uc704\\ud574\\uc11c\\ub294 [\\ub098]\\uc5d0\\uc11c \\uc9c0\\uc801\\ud55c \\uac83\\ucc98\\ub7fc, \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0b6\\uc758 \\ubc29\\uc2dd\\uc744 \\uc774\\ud574\\ud558\\uace0 \\uacf5\\uc720\\uc758 \\uc758\\ubbf8\\ub97c \\ub418\\uc0c8\\uaca8\\uc57c \\ud569\\ub2c8\\ub2e4. \\uc0ac\\ub78c\\ub4e4\\uc740 \\ucc28\\uc774\\ub97c \\uc778\\uc815\\ud558\\uace0 \\uc0b4\\uc544\\uac00\\ub294 \\ub370 \\ud544\\uc694\\ud55c \\uae30\\uc220\\uc744 \\uc2b5\\ub4dd\\ud558\\uace0, \\ub0af\\uc120 \\uc0ac\\ub78c\\ub4e4\\uacfc\\uc758 \\ub300\\uba74\\uc744 \\ub450\\ub824\\uc6cc\\ud558\\uc9c0 \\uc54a\\uace0 \\uc11c\\ub85c\\uc5d0\\uac8c \\uc5f4\\ub9b0 \\ud0dc\\ub3c4\\ub97c \\uac00\\uc9c8 \\ud544\\uc694\\uac00 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub294 [\\ub2e4]\\uc5d0\\uc11c \\uc5b8\\uae09\\ub41c \\uc5f0\\ub300\\uc640 \\uc18c\\uc18d \\uc758\\ubb34\\uc758 \\uac1c\\ub150\\uacfc\\ub3c4 \\uc5f0\\uacb0\\ub429\\ub2c8\\ub2e4. \\uc6b0\\ub9ac\\ub294 \\ub2e4\\ubb38\\ud654 \\uc0ac\\ud68c\\uc5d0\\uc11c \\uc0c1\\ud638 \\uc874\\uc911\\uacfc \\uc774\\ud574\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ud568\\uaed8 \\uc0b4\\uc544\\uac00\\uc57c \\ud568\\uc744 \\uae68\\ub2eb\\uace0, \\ub3c4\\ub355\\uc801 \\ucc45\\uc784\\uacfc \\uc0ac\\ud68c\\uc801 \\uc5f0\\ub300\\ub97c \\uc2e4\\ucc9c\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n\\uadf8\\ub9ac\\uace0 [\\uc0ac]\\uc5d0\\uc11c\\ub294 \\ucee4\\ubba4\\ub2c8\\ucf00\\uc774\\uc158 \\uae30\\uc220\\uc758 \\ubc1c\\ub2ec\\uc744 \\ud1b5\\ud574 \\uc0ac\\ud68c\\uc801 \\uc5f0\\uacb0\\ub9dd\\uacfc \\uad00\\uacc4\\uc131\\uc758 \\ud3ed\\uc774 \\ub113\\uc5b4\\uc9c0\\uace0 \\uc788\\ub2e4\\uace0 \\uc5b8\\uae09\\ud558\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub7ec\\ud55c \\ud2b8\\ub80c\\ub4dc\\ub97c \\ud65c\\uc6a9\\ud558\\uc5ec \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0ac\\ub78c\\ub4e4 \\uac04\\uc5d0 \\uacf5\\uac10\\uacfc \\uc774\\ud574\\ub97c \\ub3c4\\ubaa8\\ud558\\ub294 \\uac83\\uc774 \\uc911\\uc694\\ud569\\ub2c8\\ub2e4. \\ud2b9\\ud788 \\uc778\\ud130\\ub137\\uacfc \\uac19\\uc740 \\ub9e4\\uccb4\\ub97c \\ud1b5\\ud574 \\uc9c4\\uc815\\ud55c \\uc790\\uc544\\ub97c \\ub4dc\\ub7ec\\ub0b4\\uace0 \\uacf5\\uac10\\uc801 \\uc720\\ub300\\ub098 \\uad00\\uacc4\\ub97c \\ud615\\uc131\\ud560 \\uc218 \\uc788\\ub294 \\uae30\\ud68c\\ub97c \\ud655\\ub300\\ud558\\ub294 \\uac83\\uc774 \\ud544\\uc694\\ud569\\ub2c8\\ub2e4.\\n\\n\\ub530\\ub77c\\uc11c, \\uc678\\uad6d\\uc778\\uc5d0 \\ub300\\ud55c \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc744 \\uc704\\ud574\\uc11c\\ub294 \\ud3b8\\uacac\\uacfc \\ucc28\\ubcc4\\uc744 \\uadf9\\ubcf5\\ud558\\uace0, \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0ac\\ub78c\\ub4e4\\uacfc\\uc758 \\uc0c1\\ud638\\uc791\\uc6a9\\uc744 \\ucd09\\uc9c4\\ud558\\ub294 \\uc815\\ucc45\\uacfc \\ud504\\ub85c\\uadf8\\ub7a8\\uc744 \\ub354\\uc6b1 \\uac15\\ud654\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4. \\ub610\\ud55c, \\uc0ac\\ud68c\\uc801 \\uc5f0\\ub300\\uc640 \\uc18c\\uc18d \\uc758\\ubb34\\ub97c \\uc778\\uc2dd\\ud558\\uace0, \\uc0c1\\ud638 \\uc874\\uc911\\uacfc \\uc774\\ud574\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ub2e4\\ubb38\\ud654 \\uc0ac\\ud68c\\uc5d0\\uc11c \\ud568\\uaed8 \\uc0b4\\uc544\\uac00\\ub294 \\ubc29\\ubc95\\uc744 \\ubaa8\\uc0c9\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"generated_probabilty\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"NULL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"generated_probability\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 128,\n        \"samples\": [\n          \"15\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "\n",
        "def extract_and_average_integers_from_text(text):\n",
        "    integers = [int(num) for num in re.findall(r'\\b\\d+\\b', text)]  # 정수 추출 후 정수로 변환하여 리스트에 저장\n",
        "    if not integers:\n",
        "        return None  # 정수가 없으면 None 반환\n",
        "    average = sum(integers) / len(integers)  # 평균값 계산\n",
        "    return average"
      ],
      "metadata": {
        "id": "gTmCKOQE4ei0"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 테스트를 위한 문자열\n",
        "test_text = \"문자열에서 10 정수를 0 추출하는 0 정규식입니다.\"\n",
        "\n",
        "extract_and_average_integers_from_text(test_text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MCsnUoUv5gJL",
        "outputId": "2cf712bc-9c1e-4271-e806-b1e9fe9a3f79"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.3333333333333335"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fixed_results = []\n",
        "for result in results:\n",
        "  fixed_result = extract_and_average_integers_from_text(result)\n",
        "  fixed_results.append(fixed_result)"
      ],
      "metadata": {
        "id": "8PeUoJBP5jH5"
      },
      "execution_count": 70,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fixed_results"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sVoVvaeD5pRU",
        "outputId": "b77cd7f3-3249-439e-9c38-231a9728b9eb"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[75.0,\n",
              " 55.0,\n",
              " 30.0,\n",
              " 70.0,\n",
              " 75.0,\n",
              " 65.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 60.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 70.0,\n",
              " 55.0,\n",
              " 85.0,\n",
              " 40.0,\n",
              " 65.0,\n",
              " 35.0,\n",
              " 75.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 70.0,\n",
              " 88.0,\n",
              " 78.0,\n",
              " 78.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 80.0,\n",
              " 65.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 60.0,\n",
              " 55.0,\n",
              " 60.0,\n",
              " 99.0,\n",
              " 85.0,\n",
              " 20.0,\n",
              " 70.0,\n",
              " 75.0,\n",
              " 72.5,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 55.0,\n",
              " 85.0,\n",
              " 0.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 40.0,\n",
              " 72.25,\n",
              " 50.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 40.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 45.0,\n",
              " 45.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 40.0,\n",
              " 70.0,\n",
              " 80.0,\n",
              " 75.0,\n",
              " 56.0,\n",
              " 75.0,\n",
              " 70.0,\n",
              " 30.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 70.0,\n",
              " 54.0,\n",
              " 55.0,\n",
              " 60.0,\n",
              " 75.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 55.0,\n",
              " 42.0,\n",
              " 80.0,\n",
              " 78.0,\n",
              " 73.0,\n",
              " 50.0,\n",
              " 70.0,\n",
              " 70.0,\n",
              " 82.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 60.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 45.0,\n",
              " 70.0,\n",
              " 43.10344827586207,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 70.0,\n",
              " 65.0,\n",
              " 75.0,\n",
              " 50.0,\n",
              " 55.0,\n",
              " 85.0,\n",
              " 73.33333333333333,\n",
              " 50.0,\n",
              " 85.0,\n",
              " 80.0,\n",
              " 87.0,\n",
              " 60.0,\n",
              " 50.0,\n",
              " 10.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 40.0,\n",
              " 65.0,\n",
              " 90.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 47.5,\n",
              " 85.0,\n",
              " 30.0,\n",
              " 86.0,\n",
              " 80.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 99.0,\n",
              " 65.0,\n",
              " 70.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 50.0,\n",
              " 55.0,\n",
              " 98.0,\n",
              " 75.0,\n",
              " 25.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 55.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 65.0,\n",
              " 70.0,\n",
              " 70.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 55.0,\n",
              " 60.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 70.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 45.0,\n",
              " 70.0,\n",
              " 20.0,\n",
              " 15.0,\n",
              " 85.0,\n",
              " 80.0,\n",
              " 85.0,\n",
              " 55.0,\n",
              " 75.0,\n",
              " 82.0,\n",
              " 85.0,\n",
              " 80.0,\n",
              " 65.0,\n",
              " 85.0,\n",
              " 45.0,\n",
              " 80.0,\n",
              " 75.0,\n",
              " 45.0,\n",
              " 80.0,\n",
              " 50.0,\n",
              " 75.0,\n",
              " 60.0,\n",
              " 55.0,\n",
              " 85.0,\n",
              " 60.0,\n",
              " 50.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 70.0,\n",
              " 78.0,\n",
              " 30.0,\n",
              " 10.0,\n",
              " 80.0,\n",
              " 75.0,\n",
              " 65.0,\n",
              " 85.0,\n",
              " 65.0,\n",
              " 75.0,\n",
              " 50.0,\n",
              " 75.0,\n",
              " 100.0,\n",
              " 50.0,\n",
              " 45.0,\n",
              " 30.0,\n",
              " 30.0,\n",
              " 55.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 55.0,\n",
              " 55.0,\n",
              " 50.0,\n",
              " 75.0,\n",
              " 20.0,\n",
              " 85.0,\n",
              " 65.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 60.0,\n",
              " 70.0,\n",
              " 3.0,\n",
              " 45.0,\n",
              " 85.0,\n",
              " 90.0,\n",
              " 87.0,\n",
              " 75.0,\n",
              " 90.0,\n",
              " 85.0,\n",
              " 60.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 0.0,\n",
              " 75.0,\n",
              " 95.0,\n",
              " 55.0,\n",
              " 40.0,\n",
              " 55.0,\n",
              " 0.0,\n",
              " 10.0,\n",
              " 70.0,\n",
              " 65.0,\n",
              " 75.0,\n",
              " 88.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 20.0,\n",
              " 40.0,\n",
              " 52.0,\n",
              " 55.0,\n",
              " 43.75,\n",
              " 75.0,\n",
              " 100.0,\n",
              " 95.0,\n",
              " 85.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 95.0,\n",
              " 50.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 40.0,\n",
              " 85.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 55.0,\n",
              " 80.0,\n",
              " 85.0,\n",
              " 50.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 50.0,\n",
              " 45.0,\n",
              " 60.0,\n",
              " 75.0,\n",
              " 65.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 95.0,\n",
              " 55.0,\n",
              " 95.0,\n",
              " 65.0,\n",
              " 70.0,\n",
              " 75.0,\n",
              " 65.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 0.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 77.0,\n",
              " 75.0,\n",
              " 100.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 95.0,\n",
              " 85.0,\n",
              " 78.0,\n",
              " 75.0,\n",
              " 65.0,\n",
              " 80.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 30.0,\n",
              " 75.0,\n",
              " 60.0,\n",
              " 55.0,\n",
              " 75.0,\n",
              " 90.0,\n",
              " 95.0,\n",
              " 76.0,\n",
              " 70.0,\n",
              " 80.0,\n",
              " 65.0,\n",
              " 55.0,\n",
              " 90.0,\n",
              " 0.0,\n",
              " 85.0,\n",
              " 80.0,\n",
              " 85.0,\n",
              " 91.0,\n",
              " 58.0,\n",
              " 55.0,\n",
              " 55.0,\n",
              " 85.0,\n",
              " 15.0,\n",
              " 95.0,\n",
              " 65.0,\n",
              " 40.0,\n",
              " 91.0,\n",
              " 75.0,\n",
              " 55.0,\n",
              " 90.0,\n",
              " 85.0,\n",
              " 95.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 0.0,\n",
              " 72.0,\n",
              " 85.0,\n",
              " 65.0,\n",
              " 65.0,\n",
              " 85.0,\n",
              " 90.0,\n",
              " 55.0,\n",
              " 55.0,\n",
              " 77.5,\n",
              " 75.0,\n",
              " 88.0,\n",
              " 80.0,\n",
              " 70.0,\n",
              " 666.6666666666666,\n",
              " 70.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 70.0,\n",
              " 45.0,\n",
              " 75.0,\n",
              " 78.0,\n",
              " 55.0,\n",
              " 80.0,\n",
              " 35.0,\n",
              " 65.0,\n",
              " 60.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 20.0,\n",
              " 70.0,\n",
              " 85.0,\n",
              " 40.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 50.0,\n",
              " 70.0,\n",
              " 60.0,\n",
              " 85.0,\n",
              " 90.0,\n",
              " 75.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 95.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 70.0,\n",
              " 75.0,\n",
              " 100.0,\n",
              " 15.0,\n",
              " 65.0,\n",
              " 87.0,\n",
              " 95.0,\n",
              " 40.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 95.0,\n",
              " 65.0,\n",
              " 65.0,\n",
              " 75.0,\n",
              " 90.0,\n",
              " 60.0,\n",
              " 75.0,\n",
              " 80.0,\n",
              " 70.0,\n",
              " 65.0,\n",
              " 55.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 80.0,\n",
              " 55.0,\n",
              " 75.0,\n",
              " 55.0,\n",
              " 85.0,\n",
              " 80.0,\n",
              " 90.0,\n",
              " 75.0,\n",
              " 50.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 20.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 60.0,\n",
              " 85.0,\n",
              " 90.0,\n",
              " 20.0,\n",
              " 85.0,\n",
              " 54.0,\n",
              " 70.0,\n",
              " 75.0,\n",
              " 95.0,\n",
              " 75.0,\n",
              " 85.0,\n",
              " 39.25,\n",
              " 50.0,\n",
              " 95.0,\n",
              " 95.0,\n",
              " 0.0,\n",
              " 85.0,\n",
              " 60.0,\n",
              " 90.0,\n",
              " 70.0,\n",
              " 85.0,\n",
              " 87.0,\n",
              " 95.0,\n",
              " 85.0,\n",
              " 80.0,\n",
              " 60.0,\n",
              " 75.0,\n",
              " 60.0,\n",
              " 45.0,\n",
              " 75.0,\n",
              " 55.0,\n",
              " 65.0,\n",
              " 65.0,\n",
              " 31.0,\n",
              " 75.0,\n",
              " 0.0,\n",
              " 70.0,\n",
              " 76.0,\n",
              " 65.0,\n",
              " 40.0,\n",
              " 65.0,\n",
              " 85.0,\n",
              " 85.0,\n",
              " 75.0,\n",
              " 40.0,\n",
              " 100.0,\n",
              " 75.0,\n",
              " 75.0,\n",
              " 38.44444444444444,\n",
              " 55.0,\n",
              " 75.0,\n",
              " 80.0,\n",
              " 85.0,\n",
              " 91.0,\n",
              " 75.0,\n",
              " 60.0,\n",
              " 35.0,\n",
              " 15.0,\n",
              " 70.0,\n",
              " 45.0,\n",
              " 45.0,\n",
              " 75.0]"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_df['fixed_probability'] = fixed_results"
      ],
      "metadata": {
        "id": "CqXPRmRk6tq0"
      },
      "execution_count": 72,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "3nbOsT_O61ZU",
        "outputId": "394e1630-0ba6-431f-b15e-384968b5ce49"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                             생성 Text  label  \\\n",
              "0  \\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...      1   \n",
              "1  제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...      1   \n",
              "2  주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...      1   \n",
              "3  네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...      1   \n",
              "4  네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...      1   \n",
              "\n",
              "  generated_probabilty                              generated_probability  \\\n",
              "0                 NULL  ## 확률 분석 결과:\\n\\n**제시문 (가): 95**\\n**제시문 (나): 70...   \n",
              "1                 NULL                                                 55   \n",
              "2                 NULL                                                 30   \n",
              "3                 NULL  ## 70 \\n\\nThis is a complex question that requ...   \n",
              "4                 NULL                                                 75   \n",
              "\n",
              "   fixed_probability  \n",
              "0               75.0  \n",
              "1               55.0  \n",
              "2               30.0  \n",
              "3               70.0  \n",
              "4               75.0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4c812136-b549-49c8-b24b-21ee0556a12d\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>생성 Text</th>\n",
              "      <th>label</th>\n",
              "      <th>generated_probabilty</th>\n",
              "      <th>generated_probability</th>\n",
              "      <th>fixed_probability</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>\\n제시문 (가)는 역사적으로 새로운 종교를 창설하려는 시도가 실패로 끝났음에도 불...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>## 확률 분석 결과:\\n\\n**제시문 (가): 95**\\n**제시문 (나): 70...</td>\n",
              "      <td>75.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>제시문 가-2에서는 돈 키호테와 산초의 대화를 통해 현실과 환상 사이의 갈등이 나타...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>55</td>\n",
              "      <td>55.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>주제어로 선택된 공통 키워드는 \"아름다움\"입니다.\\n\\n제시문 (가)에서는 매화의 ...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>30</td>\n",
              "      <td>30.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>네 제시문들의 순서를 정하기 위해서는 각 제시문이 개인과 사회 간 영향을 어떻게 다...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>## 70 \\n\\nThis is a complex question that requ...</td>\n",
              "      <td>70.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>네 제시문들에는 현대 사회에서의 갈등 상황에 대한 다양한 해법과 접근 방식이 내포되...</td>\n",
              "      <td>1</td>\n",
              "      <td>NULL</td>\n",
              "      <td>75</td>\n",
              "      <td>75.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4c812136-b549-49c8-b24b-21ee0556a12d')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-4c812136-b549-49c8-b24b-21ee0556a12d button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4c812136-b549-49c8-b24b-21ee0556a12d');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-7a66c06c-bd00-4ffa-be33-90ba47d572ef\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7a66c06c-bd00-4ffa-be33-90ba47d572ef')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7a66c06c-bd00-4ffa-be33-90ba47d572ef button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "test_df",
              "summary": "{\n  \"name\": \"test_df\",\n  \"rows\": 502,\n  \"fields\": [\n    {\n      \"column\": \"\\uc0dd\\uc131 Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 501,\n        \"samples\": [\n          \"\\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uc785\\uc7a5\\uc740 \\ub2e8\\uc21c\\ud788 \\uae30\\uc220\\uc801 \\ud574\\uacb0\\ucc45\\uc744 \\ucc3e\\ub294 \\uac83\\uc744 \\ub118\\uc5b4, \\uc0ac\\ud68c\\uc801 \\ucc45\\uc784\\uacfc \\uc778\\uac04\\uc758 \\uc0b6\\uc5d0 \\ub300\\ud55c \\uace0\\ubbfc\\uc744 \\ubc18\\uc601\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4. (\\uac00)\\uc5d0\\uc11c\\ub294 \\uc9c0\\uad6c \\uc628\\ub09c\\ud654\\ub85c \\uc778\\ud55c \\uc778\\ub958\\uc758 \\uace0\\ud1b5\\uc744 \\uac15\\uc870\\ud558\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub7ec\\ud55c \\uc0c1\\ud669\\uc5d0\\uc11c \\uc6b0\\ub9ac\\ub294 \\ub2e8\\uc21c\\ud788 \\uae30\\ud6c4 \\uae30\\uc220\\uc758 \\ubc1c\\uc804\\ub9cc\\uc73c\\ub85c \\ubb38\\uc81c\\ub97c \\ud574\\uacb0\\ud560 \\uc218 \\uc5c6\\ub2e4\\ub294 \\uc810\\uc744 \\uc778\\uc2dd\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n(\\ub098)\\uc5d0\\uc11c\\ub294 \\uc694\\ub098\\uc2a4\\uc758 \\ucc45\\uc784\\uc758 \\uba85\\ubc95\\uacfc \\uc9c0\\uc18d \\uac00\\ub2a5\\ud55c \\ubc1c\\uc804\\uc758 \\uac1c\\ub150\\uc774 \\uc18c\\uac1c\\ub418\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\ud574\\uacb0\\uc740 \\ub2e8\\uc21c\\ud788 \\ud604\\uc7ac \\uc138\\ub300\\uc758 \\uc774\\uc775\\uc744 \\uc704\\ud55c \\uac83\\uc774 \\uc544\\ub2c8\\ub77c \\ubbf8\\ub798 \\uc138\\ub300\\uc640 \\uc790\\uc5f0\\uc5d0 \\ub300\\ud55c \\ucc45\\uc784\\uc744 \\uace0\\ub824\\ud569\\ub2c8\\ub2e4.\\n\\n(\\ub2e4)\\uc5d0\\uc11c\\ub294 \\ubbf8\\uc138\\uba3c\\uc9c0\\ub85c \\uc778\\ud55c \\ud658\\uacbd \\ubb38\\uc81c\\uac00 \\uacbd\\uc81c\\uc801 \\ubd88\\ud3c9\\ub4f1\\uc744 \\uc2ec\\ud654\\uc2dc\\ud0a4\\uace0 \\uc788\\ub294 \\ud604\\uc2e4\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4. \\uc774\\ub294 \\ud658\\uacbd \\ubb38\\uc81c\\uac00 \\ub2e8\\uc21c\\ud788 \\uae30\\uc220\\uc801\\uc778 \\uce21\\uba74\\ubfd0 \\uc544\\ub2c8\\ub77c \\uc0ac\\ud68c\\uc801, \\uacbd\\uc81c\\uc801 \\uce21\\uba74\\uc5d0\\uc11c\\ub3c4 \\uc2ec\\uac01\\ud55c \\ubb38\\uc81c\\uc784\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4.\\n\\n(\\ub77c)\\uc5d0\\uc11c\\ub294 \\uad6d\\uac00\\uc640 \\uad6d\\ubbfc \\uac04\\uc758 \\uc0c1\\ud638\\ucc45\\uc784\\uacfc \\ubcf5\\uc9c0\\uad8c\\uc5d0 \\ub300\\ud55c \\uc774\\uc57c\\uae30\\uac00 \\ub098\\uc635\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\ub294 \\uac1c\\uc778\\uc758 \\uc790\\uc720\\uc640 \\uad8c\\ub9ac\\ubfd0\\ub9cc \\uc544\\ub2c8\\ub77c \\uad6d\\uac00\\uc758 \\ucc45\\uc784\\uacfc \\uad6d\\ubbfc\\uc758 \\ubcf5\\uc9c0\\uad8c\\uacfc\\ub3c4 \\uc5f0\\uacb0\\ub418\\uc5b4 \\uc788\\uc74c\\uc744 \\ubcf4\\uc5ec\\uc90d\\ub2c8\\ub2e4.\\n\\n\\uc774\\ub7ec\\ud55c \\uad00\\uc810\\uc5d0\\uc11c \\ud658\\uacbd \\ubb38\\uc81c\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uc785\\uc7a5\\uc740 \\ub2e8\\uc21c\\ud788 \\ud658\\uacbd\\uc744 \\ubcf4\\ud638\\ud558\\uace0 \\uae30\\uc220\\uc801\\uc778 \\ud574\\uacb0\\ucc45\\uc744 \\ubaa8\\uc0c9\\ud558\\ub294 \\uac83\\uc744 \\ub118\\uc5b4, \\uc0ac\\ud68c\\uc801 \\ucc45\\uc784\\uacfc \\ubbf8\\ub798 \\uc138\\ub300\\uc5d0 \\ub300\\ud55c \\ubc30\\ub824\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ud574\\uacb0\\ucc45\\uc744 \\ubaa8\\uc0c9\\ud574\\uc57c \\ud55c\\ub2e4\\ub294 \\uac83\\uc785\\ub2c8\\ub2e4. \\ud658\\uacbd \\ubb38\\uc81c\\ub294 \\uc6b0\\ub9ac\\uc758 \\uc0b6\\uacfc \\ubbf8\\ub798\\uc5d0 \\ub300\\ud55c \\uc724\\ub9ac\\uc801 \\uace0\\ubbfc\\uc758 \\ub300\\uc0c1\\uc774\\uba70, \\uc774\\ub97c \\ud574\\uacb0\\ud558\\uae30 \\uc704\\ud574\\uc11c\\ub294 \\uc0ac\\ud68c\\uc801, \\uacbd\\uc81c\\uc801, \\uc778\\uac04\\uc801\\uc778 \\uce21\\uba74\\uc744 \\ubaa8\\ub450 \\uace0\\ub824\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\",\n          \"\\uc81c\\uc2dc\\ubb38 [\\uac00]\\ub294 \\uc815\\ubd80\\uac00 \\uc2dc\\uc7a5 \\uacbd\\uc81c \\uac1c\\uc785\\uc5d0 \\uc788\\uc5b4\\uc11c \\uad6d\\uac00\\uc801 \\uc774\\uc775 \\ubcf4\\ud638\\ub97c \\uc704\\ud55c \\ubaa9\\uc801\\uc744 \\uac00\\n\\uc9c0\\uace0 \\uc2dc\\uc7a5 \\uacbd\\uc81c \\uac1c\\uc785\\uc5d0 \\ub300\\ud55c \\uc815\\ub2f9\\uc131\\uc744 \\ud655\\ubcf4\\ud558\\ub294 \\uae0d\\uc815\\uc801\\uc778 \\uba74\\uc744 \\uac15\\uc870\\ud558\\uace0 \\uc788\\ub2e4. \\uc774\\ub7f0\\n\\uc815\\ubd80\\uc758 \\uc5ed\\ud560\\uc744 \\ubc14\\ud0d5\\uc73c\\ub85c \\uc81c\\uc2dc\\ubb38 [\\ub098]\\uc640 [\\ub77c]\\ub294 \\uc815\\ubd80 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc758 \\ubd80\\uc815\\uc801\\uc778 \\uba74, \\uc81c\\uc2dc\\ubb38\\n[\\ub2e4]\\uc640 [\\ubc14]\\ub294 \\uc815\\ubd80 \\uc5ed\\ud560\\uc5d0 \\ub300\\ud55c \\uae0d\\uc815\\uc801\\uc778 \\uba74, \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\ub294 \\uc591\\ucabd \\ubaa8\\ub450\\uac00 \\uc874\\uc7ac\\ud55c\\ub2e4\\ub294\\n\\uacb0\\uacfc\\ub97c \\ub3c4\\ucd9c\\ud560 \\uc218 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub098]\\ub294 \\uacf5\\uae30\\uc5c5 \\uacbd\\uc601 \\uc2e4\\uc801\\uc774 \\uc545\\ud654\\ud558\\uc5ec \\ubd80\\ucc44\\uac00 \\uc99d\\uac00\\ud558\\ub294 \\uac83\\uc740 \\uc138\\uae08\\uc73c\\ub85c \\ucda9\\ub2f9\\ub418\\n\\ub294 \\uacf5\\uae30\\uc5c5\\uc758 \\uc6b4\\uc601\\uc0c1 \\uad6d\\ubbfc\\uc5d0\\uac8c \\uadf8\\ub9ac\\uace0 \\uad6d\\uac00 \\uacbd\\uc81c\\uc5d0 \\uc7ac\\uc815 \\ubd80\\ub2f4\\uc744 \\uc548\\uaca8\\uc8fc\\ub294 \\ubd80\\uc815\\uc801 \\uc601\\ud5a5\\n\\uc744 \\uc900\\ub2e4\\ub294 \\uac83\\uc774\\ub2e4. \\ub530\\ub77c\\uc11c \\uc81c\\uc2dc\\ubb38 [\\ub098]\\ub294 \\uc815\\ubd80\\uc758 \\uacf5\\uae30\\uc5c5\\uc744 \\ud1b5\\ud55c \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc740 \\uacbd\\uc81c \\ubc1c\\n\\uc804\\uc5d0 \\ubd80\\uc815\\uc801 \\uc601\\ud5a5\\uc744 \\uc900\\ub2e4\\ub294 \\uac83\\uc744 \\ubcf4\\uc5ec \\uc900\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub2e4]\\uc5d0\\uc11c \\uad6d\\uac00\\ub294 \\uc0ac\\ud68c \\ubcf4\\ud5d8\\uc744 \\ud1b5\\ud574\\uc11c \\uad6d\\ubbfc\\uc744 \\ubcf4\\ud638\\ud558\\ub294 \\ucc45\\uc784\\uacfc \\uc5ed\\ud560\\uc744 \\uc218\\ud589\\ud558\\n\\uc9c0\\ub9cc, \\uad6d\\ubbfc \\uac74\\uac15 \\ubcf4\\ud5d8, \\uad6d\\ubbfc\\uc5f0\\uae08 \\ub4f1\\uc740 \\uad6d\\uac00\\uc758 \\uc7ac\\uc815\\uc801 \\ubd80\\ub2f4\\uc744 \\uc545\\ud654\\uc2dc\\ud0ac \\uc218 \\uc788\\ub294 \\uc704\\ud5d8\\n\\uc694\\uc18c\\uc774\\uba70 \\uacbd\\uc81c\\uc801\\uc778 \\uce21\\uba74\\uc73c\\ub85c \\ubcf4\\uc558\\uc744 \\ub54c \\ubd80\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uc744 \\uc904 \\uc218 \\uc788\\ub294 \\uc7a0\\uc7ac\\uc801 \\uc694\\uc18c\\ub4e4\\uc744\\n\\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub77c]\\ub294 \\uc5ed\\uc0ac\\uc801 \\uc0ac\\uc2e4\\uc744 \\ud1a0\\ub300\\ub85c \\uc815\\ubd80\\uac00 \\uc2dc\\uc7a5 \\uacbd\\uc81c\\uc5d0 \\uac1c\\uc785\\ud574\\uc11c \\uc2a4\\ud0dc\\uadf8\\ud50c\\ub808\\uc774\\uc158\\uc774\\n\\uc0dd\\uaca8\\ub098\\uace0 \\uc774\\ub294 \\uc815\\ubd80\\uc758 \\uac1c\\uc785\\uc744 \\ucd95\\uc18c\\ud574\\uc57c \\ud55c\\ub2e4\\ub294 \\uc2e0\\uc790\\uc720\\uc8fc\\uc758 \\uc8fc\\uc7a5\\uc5d0\\ub3c4 \\uc5f0\\uacb0\\uc774 \\ub418\\uace0 \\uc788\\n\\ub2e4. \\ud2b9\\ud788 \\uc11d\\uc720 \\ud30c\\ub3d9 \\ub4f1 \\uc704\\uae30 \\uc0c1\\ud669\\uc5d0\\uc11c \\uc815\\ubd80\\uc758 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc774 \\ubb38\\uc81c \\ud574\\uacb0\\uc5d0 \\ub3c4\\uc6c0\\uc774 \\ub418\\uc9c0\\n\\uc54a\\ub294\\ub2e4\\ub294 \\uc810\\uc744 \\ub098\\ud0c0\\ub0b4\\uace0 \\uc788\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\ub294 \\uc601\\uad6d\\uc758 \\ube0c\\ub809\\uc2dc\\ud2b8 \\uc758\\uc0ac\\uacb0\\uc815\\uc774 \\uacbd\\uc81c\\uc5d0 \\uae0d\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uacfc \\ubd80\\uc815\\uc801\\uc778 \\uc601\\ud5a5\\uc744\\n\\ub3d9\\uc2dc\\uc5d0 \\uc904 \\uc218 \\uc788\\ub294 \\uc810\\uc744 \\uac15\\uc870\\ud55c\\ub2e4. \\uc81c\\uc2dc\\ubb38 [\\ubc14]\\ub294 \\uad6d\\uac00\\uac00 \\uad6d\\ubbfc\\uc744 \\uc704\\ud574 \\uc758\\ub8cc\\ube44, \\uc2e4\\uc9c1\\n\\uc2dc \\uc0dd\\uacc4 \\uc9c0\\uc6d0 \\ub4f1 \\ubcf5\\uc9c0\\uc801\\uc778 \\ucc45\\uc784\\uacfc \\uc5ed\\ud560\\uc744 \\uac15\\uc870\\ud55c\\ub2e4. \\ub2e4\\ub9cc \\uc0ac\\ud68c\\ubcf4\\uc7a5\\uc81c\\ub3c4 \\uc720\\uc9c0\\ub97c \\uc704\\ud574\\n\\uacbd\\uc81c \\ubc1c\\uc804\\uc5d0 \\ub354\\uc6b1 \\ub178\\ub825\\uc744 \\uae30\\uc6b8\\uc5ec\\uc57c\\ud558\\ub294 \\uc5f0\\uad00\\uc131\\uc744 \\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\uacbd\\uc81c \\ubc1c\\uc804\\uacfc \\ubcf5\\uc9c0\\uc5d0 \\uc788\\uc5b4\\uc11c \\uad6d\\uac00\\uc758 \\uc2dc\\uc7a5 \\uac1c\\uc785\\uc740 \\uc81c\\uc2dc\\ubb38 [\\ub9c8]\\uc640 \\uac19\\uc774 \\uae0d\\uc815\\uc801\\uc778 \\uba74\\uacfc\\n\\ubd80\\uc815\\uc801\\uc778 \\uba74 \\ubaa8\\ub450 \\uac00\\uc9c0\\uace0 \\uc788\\ub2e4. \\ud558\\uc9c0\\ub9cc \\uc81c\\uc2dc\\ubb38 [\\ub098]\\uc640 [\\ub77c]\\uc640 \\uac19\\uc774 \\ube44\\ud6a8\\uc728\\uc131\\uc744 \\uc5b8\\uae09\\ud560\\n\\uc218\\ub3c4 \\uc788\\uace0 [\\ub2e4]\\uc640 [\\ubc14]\\uc640 \\uac19\\uc774 \\ubcf5\\uc9c0\\uc640 \\uc5f0\\uacc4\\ub41c \\uae0d\\uc815\\uc801\\uc778 \\uba74\\ub3c4 \\uc81c\\uc2dc \\ub420 \\uc218 \\uc788\\ub2e4.\",\n          \"[\\ub098]~[\\uc0ac]\\ub294 \\ub2e4\\uc591\\ud55c \\uc0ac\\ud68c \\ubb38\\uc81c\\uc640 \\uadf8\\uc5d0 \\ub300\\ud55c \\uc124\\uba85\\uc744 \\ub2e4\\ub8e8\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. [\\uac00]\\uc5d0\\uc11c\\ub294 \\uc678\\uad6d\\uc778 \\ub178\\ub3d9\\uc790\\uc640 \\uacb0\\ud63c \\uc774\\ubbfc\\uc790\\ub4e4\\uc774 \\uc678\\uad6d\\uc778\\uc73c\\ub85c \\uc778\\uc2dd\\ub418\\uc5b4 \\uc0ac\\ud68c\\uc801\\uc73c\\ub85c \\ud1b5\\ud569\\ub418\\ub294 \\ub370 \\uc5b4\\ub824\\uc6c0\\uc744 \\uacaa\\ub294 \\ubb38\\uc81c\\ub97c \\ub2e4\\ub8e8\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uadf8\\ub4e4\\uc740 \\uc5b8\\uc5b4 \\uc18c\\ud1b5\\uc758 \\uc5b4\\ub824\\uc6c0\\uacfc \\ucde8\\uc5c5 \\uc815\\ubcf4 \\ubd80\\uc871\\uc73c\\ub85c \\uc77c\\uc790\\ub9ac\\ub97c \\uc5bb\\ub294 \\ub370 \\uc5b4\\ub824\\uc6c0\\uc744 \\uacaa\\uc73c\\uba70, \\uc6b0\\ub9ac \\uc0ac\\ud68c\\uc758 \\ud3b8\\uacac\\uacfc \\ucc28\\ubcc4\\ub85c \\uc778\\ud574 \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc5d0 \\ub9ce\\uc740 \\uc7a5\\uc560\\ub97c \\uacaa\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\uc5d0 \\ub300\\uc751\\ud558\\uae30 \\uc704\\ud574\\uc11c\\ub294 \\uc678\\uad6d\\uc778\\uc5d0 \\ub300\\ud55c \\uc778\\uc2dd\\uacfc \\ud0dc\\ub3c4\\ub97c \\uac1c\\uc120\\ud558\\uace0, \\uadf8\\ub4e4\\uc758 \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc744 \\ucd09\\uc9c4\\ud558\\ub294 \\uc815\\ucc45\\uacfc \\ud504\\ub85c\\uadf8\\ub7a8\\uc744 \\ub354\\uc6b1 \\uac15\\ud654\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n\\uc774\\ub97c \\uc704\\ud574\\uc11c\\ub294 [\\ub098]\\uc5d0\\uc11c \\uc9c0\\uc801\\ud55c \\uac83\\ucc98\\ub7fc, \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0b6\\uc758 \\ubc29\\uc2dd\\uc744 \\uc774\\ud574\\ud558\\uace0 \\uacf5\\uc720\\uc758 \\uc758\\ubbf8\\ub97c \\ub418\\uc0c8\\uaca8\\uc57c \\ud569\\ub2c8\\ub2e4. \\uc0ac\\ub78c\\ub4e4\\uc740 \\ucc28\\uc774\\ub97c \\uc778\\uc815\\ud558\\uace0 \\uc0b4\\uc544\\uac00\\ub294 \\ub370 \\ud544\\uc694\\ud55c \\uae30\\uc220\\uc744 \\uc2b5\\ub4dd\\ud558\\uace0, \\ub0af\\uc120 \\uc0ac\\ub78c\\ub4e4\\uacfc\\uc758 \\ub300\\uba74\\uc744 \\ub450\\ub824\\uc6cc\\ud558\\uc9c0 \\uc54a\\uace0 \\uc11c\\ub85c\\uc5d0\\uac8c \\uc5f4\\ub9b0 \\ud0dc\\ub3c4\\ub97c \\uac00\\uc9c8 \\ud544\\uc694\\uac00 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub294 [\\ub2e4]\\uc5d0\\uc11c \\uc5b8\\uae09\\ub41c \\uc5f0\\ub300\\uc640 \\uc18c\\uc18d \\uc758\\ubb34\\uc758 \\uac1c\\ub150\\uacfc\\ub3c4 \\uc5f0\\uacb0\\ub429\\ub2c8\\ub2e4. \\uc6b0\\ub9ac\\ub294 \\ub2e4\\ubb38\\ud654 \\uc0ac\\ud68c\\uc5d0\\uc11c \\uc0c1\\ud638 \\uc874\\uc911\\uacfc \\uc774\\ud574\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ud568\\uaed8 \\uc0b4\\uc544\\uac00\\uc57c \\ud568\\uc744 \\uae68\\ub2eb\\uace0, \\ub3c4\\ub355\\uc801 \\ucc45\\uc784\\uacfc \\uc0ac\\ud68c\\uc801 \\uc5f0\\ub300\\ub97c \\uc2e4\\ucc9c\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\\n\\n\\uadf8\\ub9ac\\uace0 [\\uc0ac]\\uc5d0\\uc11c\\ub294 \\ucee4\\ubba4\\ub2c8\\ucf00\\uc774\\uc158 \\uae30\\uc220\\uc758 \\ubc1c\\ub2ec\\uc744 \\ud1b5\\ud574 \\uc0ac\\ud68c\\uc801 \\uc5f0\\uacb0\\ub9dd\\uacfc \\uad00\\uacc4\\uc131\\uc758 \\ud3ed\\uc774 \\ub113\\uc5b4\\uc9c0\\uace0 \\uc788\\ub2e4\\uace0 \\uc5b8\\uae09\\ud558\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774\\ub7ec\\ud55c \\ud2b8\\ub80c\\ub4dc\\ub97c \\ud65c\\uc6a9\\ud558\\uc5ec \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0ac\\ub78c\\ub4e4 \\uac04\\uc5d0 \\uacf5\\uac10\\uacfc \\uc774\\ud574\\ub97c \\ub3c4\\ubaa8\\ud558\\ub294 \\uac83\\uc774 \\uc911\\uc694\\ud569\\ub2c8\\ub2e4. \\ud2b9\\ud788 \\uc778\\ud130\\ub137\\uacfc \\uac19\\uc740 \\ub9e4\\uccb4\\ub97c \\ud1b5\\ud574 \\uc9c4\\uc815\\ud55c \\uc790\\uc544\\ub97c \\ub4dc\\ub7ec\\ub0b4\\uace0 \\uacf5\\uac10\\uc801 \\uc720\\ub300\\ub098 \\uad00\\uacc4\\ub97c \\ud615\\uc131\\ud560 \\uc218 \\uc788\\ub294 \\uae30\\ud68c\\ub97c \\ud655\\ub300\\ud558\\ub294 \\uac83\\uc774 \\ud544\\uc694\\ud569\\ub2c8\\ub2e4.\\n\\n\\ub530\\ub77c\\uc11c, \\uc678\\uad6d\\uc778\\uc5d0 \\ub300\\ud55c \\uc0ac\\ud68c\\uc801 \\ud1b5\\ud569\\uc744 \\uc704\\ud574\\uc11c\\ub294 \\ud3b8\\uacac\\uacfc \\ucc28\\ubcc4\\uc744 \\uadf9\\ubcf5\\ud558\\uace0, \\uc11c\\ub85c \\ub2e4\\ub978 \\uc0ac\\ub78c\\ub4e4\\uacfc\\uc758 \\uc0c1\\ud638\\uc791\\uc6a9\\uc744 \\ucd09\\uc9c4\\ud558\\ub294 \\uc815\\ucc45\\uacfc \\ud504\\ub85c\\uadf8\\ub7a8\\uc744 \\ub354\\uc6b1 \\uac15\\ud654\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4. \\ub610\\ud55c, \\uc0ac\\ud68c\\uc801 \\uc5f0\\ub300\\uc640 \\uc18c\\uc18d \\uc758\\ubb34\\ub97c \\uc778\\uc2dd\\ud558\\uace0, \\uc0c1\\ud638 \\uc874\\uc911\\uacfc \\uc774\\ud574\\ub97c \\ubc14\\ud0d5\\uc73c\\ub85c \\ub2e4\\ubb38\\ud654 \\uc0ac\\ud68c\\uc5d0\\uc11c \\ud568\\uaed8 \\uc0b4\\uc544\\uac00\\ub294 \\ubc29\\ubc95\\uc744 \\ubaa8\\uc0c9\\ud574\\uc57c \\ud569\\ub2c8\\ub2e4.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"generated_probabilty\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"NULL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"generated_probability\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 128,\n        \"samples\": [\n          \"15\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fixed_probability\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33.43523540775823,\n        \"min\": 0.0,\n        \"max\": 666.6666666666666,\n        \"num_unique_values\": 49,\n        \"samples\": [\n          99.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import roc_curve, auc\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 실제 라벨\n",
        "y_true = test_df['label'].values\n",
        "\n",
        "# ROC 곡선 그리기\n",
        "fpr, tpr, thresholds = roc_curve(y_true, fixed_results)\n",
        "roc_auc = auc(fpr, tpr)\n",
        "\n",
        "# ROC 곡선 시각화\n",
        "plt.figure()\n",
        "plt.plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = %0.2f)' % roc_auc)\n",
        "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
        "plt.xlim([0.0, 1.0])\n",
        "plt.ylim([0.0, 1.05])\n",
        "plt.xlabel('False Positive Rate')\n",
        "plt.ylabel('True Positive Rate')\n",
        "plt.title('Receiver Operating Characteristic Curve')\n",
        "plt.legend(loc=\"lower right\")\n",
        "\n",
        "# ROC-AUC 면적 출력\n",
        "print(\"ROC-AUC 면적:\", roc_auc)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 490
        },
        "id": "IzRNX1nQ6-bi",
        "outputId": "f5deafda-d771-4137-afab-10f86dbea510"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ROC-AUC 면적: 0.48572178477690287\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import f1_score\n",
        "\n",
        "# F1 스코어 계산\n",
        "y_pred = [1 if score > 50 else 0 for score in fixed_results]  # fixed_results는 모델 예측 결과로 가정\n",
        "f1 = f1_score(y_true, y_pred)\n",
        "\n",
        "# F1 스코어 출력\n",
        "print(\"F1 Score:\", f1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SxEt7gHq7VoN",
        "outputId": "09fb8616-3885-4e30-9b77-47f7c9c66bdd"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "F1 Score: 0.7818411097099621\n"
          ]
        }
      ]
    }
  ]
}