{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hdOQy8vcIw1l"
      },
      "source": [
        "# 4장. 데이터 표현과 특성 공학"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NlkpirlKIw19"
      },
      "source": [
        "*아래 링크를 통해 이 노트북을 주피터 노트북 뷰어(nbviewer.org)로 보거나 구글 코랩(colab.research.google.com)에서 실행할 수 있습니다.*\n",
        "\n",
        "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://nbviewer.org/github/rickiepark/intro_ml_with_python_2nd_revised/blob/main/04-representing-data-feature-engineering.ipynb\"><img src=\"https://jupyter.org/assets/share.png\" width=\"60\" />주피터 노트북 뷰어로 보기</a>\n",
        "  </td>\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/rickiepark/intro_ml_with_python_2nd_revised/blob/main/04-representing-data-feature-engineering.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />구글 코랩(Colab)에서 실행하기</a>\n",
        "  </td>\n",
        "</table>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m3sTVe-VIw1_"
      },
      "source": [
        "이 노트북은 맷플롯립 그래프에 한글을 쓰기 위해 나눔 폰트를 사용합니다. 코랩의 경우 다음 셀에서 나눔 폰트를 직접 설치합니다."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "prx3T3RQIw2F",
        "outputId": "68117cbb-75e4-43a5-9531-2b817fd82ee7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "debconf: unable to initialize frontend: Dialog\n",
            "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78, <> line 1.)\n",
            "debconf: falling back to frontend: Readline\n",
            "debconf: unable to initialize frontend: Readline\n",
            "debconf: (This frontend requires a controlling tty.)\n",
            "debconf: falling back to frontend: Teletype\n",
            "dpkg-preconfigure: unable to re-open stdin: \n",
            "Selecting previously unselected package fonts-nanum.\n",
            "(Reading database ... 124947 files and directories currently installed.)\n",
            "Preparing to unpack .../fonts-nanum_20200506-1_all.deb ...\n",
            "Unpacking fonts-nanum (20200506-1) ...\n",
            "Setting up fonts-nanum (20200506-1) ...\n",
            "Processing triggers for fontconfig (2.13.1-4.2ubuntu5) ...\n"
          ]
        }
      ],
      "source": [
        "# 노트북이 코랩에서 실행 중인지 체크합니다.\n",
        "import os\n",
        "import sys\n",
        "if 'google.colab' in sys.modules:\n",
        "    if not os.path.isdir('mglearn'):\n",
        "        # mglearn을 다운받고 압축을 풉니다.\n",
        "        !wget -q -O mglearn.tar.gz https://bit.ly/mglearn-tar-gz\n",
        "        !tar -xzf mglearn.tar.gz\n",
        "    !wget -q -O data.tar.gz https://bit.ly/data-tar-gz\n",
        "    !tar -xzf data.tar.gz\n",
        "    # 나눔 폰트를 설치합니다.\n",
        "    !sudo apt-get -qq -y install fonts-nanum\n",
        "    import matplotlib.font_manager as fm\n",
        "    font_files = fm.findSystemFonts(fontpaths=['/usr/share/fonts/truetype/nanum'])\n",
        "    for fpath in font_files:\n",
        "        fm.fontManager.addfont(fpath)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "hide_input": false,
        "id": "GS_PeFL7Iw2p"
      },
      "outputs": [],
      "source": [
        "import sklearn\n",
        "from preamble import *\n",
        "import matplotlib\n",
        "\n",
        "# 나눔 폰트를 사용합니다.\n",
        "matplotlib.rc('font', family='NanumBarunGothic')\n",
        "matplotlib.rcParams['axes.unicode_minus'] = False"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rxcNIb6zIw2r"
      },
      "source": [
        "## 4.1 범주형 변수"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NijQVnAFIw21"
      },
      "source": [
        "### 4.1.1 원-핫-인코딩 (가변수)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "zqU-vIeqIw27",
        "outputId": "5d8a69f5-6559-4b46-bab2-618749910a9e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   age          workclass   education   gender  hours-per-week  \\\n",
              "0   39          State-gov   Bachelors     Male              40   \n",
              "1   50   Self-emp-not-inc   Bachelors     Male              13   \n",
              "2   38            Private     HS-grad     Male              40   \n",
              "3   53            Private        11th     Male              40   \n",
              "4   28            Private   Bachelors   Female              40   \n",
              "\n",
              "           occupation  income  \n",
              "0        Adm-clerical   <=50K  \n",
              "1     Exec-managerial   <=50K  \n",
              "2   Handlers-cleaners   <=50K  \n",
              "3   Handlers-cleaners   <=50K  \n",
              "4      Prof-specialty   <=50K  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0dfd9742-325c-404d-95b1-ae9061caee76\" 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>age</th>\n",
              "      <th>workclass</th>\n",
              "      <th>education</th>\n",
              "      <th>gender</th>\n",
              "      <th>hours-per-week</th>\n",
              "      <th>occupation</th>\n",
              "      <th>income</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>39</td>\n",
              "      <td>State-gov</td>\n",
              "      <td>Bachelors</td>\n",
              "      <td>Male</td>\n",
              "      <td>40</td>\n",
              "      <td>Adm-clerical</td>\n",
              "      <td>&lt;=50K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>50</td>\n",
              "      <td>Self-emp-not-inc</td>\n",
              "      <td>Bachelors</td>\n",
              "      <td>Male</td>\n",
              "      <td>13</td>\n",
              "      <td>Exec-managerial</td>\n",
              "      <td>&lt;=50K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>38</td>\n",
              "      <td>Private</td>\n",
              "      <td>HS-grad</td>\n",
              "      <td>Male</td>\n",
              "      <td>40</td>\n",
              "      <td>Handlers-cleaners</td>\n",
              "      <td>&lt;=50K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>53</td>\n",
              "      <td>Private</td>\n",
              "      <td>11th</td>\n",
              "      <td>Male</td>\n",
              "      <td>40</td>\n",
              "      <td>Handlers-cleaners</td>\n",
              "      <td>&lt;=50K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>28</td>\n",
              "      <td>Private</td>\n",
              "      <td>Bachelors</td>\n",
              "      <td>Female</td>\n",
              "      <td>40</td>\n",
              "      <td>Prof-specialty</td>\n",
              "      <td>&lt;=50K</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-0dfd9742-325c-404d-95b1-ae9061caee76')\"\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",
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              "  </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-0dfd9742-325c-404d-95b1-ae9061caee76 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-0dfd9742-325c-404d-95b1-ae9061caee76');\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-4bf6ccfc-93dd-4344-bb66-192738c918d2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4bf6ccfc-93dd-4344-bb66-192738c918d2')\"\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-4bf6ccfc-93dd-4344-bb66-192738c918d2 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": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 32561,\n  \"fields\": [\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13,\n        \"min\": 17,\n        \"max\": 90,\n        \"num_unique_values\": 73,\n        \"samples\": [\n          28,\n          73,\n          35\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"workclass\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          \" Without-pay\",\n          \" Self-emp-not-inc\",\n          \" ?\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"education\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 16,\n        \"samples\": [\n          \" Bachelors\",\n          \" HS-grad\",\n          \" Some-college\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"gender\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \" Female\",\n          \" Male\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hours-per-week\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12,\n        \"min\": 1,\n        \"max\": 99,\n        \"num_unique_values\": 94,\n        \"samples\": [\n          6,\n          22\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"occupation\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \" Machine-op-inspct\",\n          \" ?\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"income\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \" >50K\",\n          \" <=50K\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "import os\n",
        "# 이 파일은 열 이름을 나타내는 헤더가 없으므로 header=None으로 지정하고\n",
        "# \"names\" 매개변수로 열 이름을 제공합니다\n",
        "data = pd.read_csv(\n",
        "    os.path.join(mglearn.datasets.DATA_PATH, \"adult.data\"), header=None, index_col=False,\n",
        "    names=['age', 'workclass', 'fnlwgt', 'education',  'education-num',\n",
        "           'marital-status', 'occupation', 'relationship', 'race', 'gender',\n",
        "           'capital-gain', 'capital-loss', 'hours-per-week', 'native-country',\n",
        "           'income'])\n",
        "# 예제를 위해 몇개의 열만 선택합니다\n",
        "data = data[['age', 'workclass', 'education', 'gender', 'hours-per-week',\n",
        "             'occupation', 'income']]\n",
        "data.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KXlv-FGZIw3H"
      },
      "source": [
        "#### 문자열로 된 범주형 데이터 확인하기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "scrolled": true,
        "id": "rXJg_Xa5Iw3I",
        "outputId": "f33ca3e7-934b-4172-e477-e70905f3b6ad",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "gender\n",
            "Male      21790\n",
            "Female    10771\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(data.gender.value_counts())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "SQmhSoUqIw3J",
        "outputId": "81911d2f-84f4-4b26-9600-65a4fa8c00ce",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "원본 특성:\n",
            " ['age', 'workclass', 'education', 'gender', 'hours-per-week', 'occupation', 'income'] \n",
            "\n",
            "get_dummies 후의 특성:\n",
            " ['age', 'hours-per-week', 'workclass_ ?', 'workclass_ Federal-gov', 'workclass_ Local-gov', 'workclass_ Never-worked', 'workclass_ Private', 'workclass_ Self-emp-inc', 'workclass_ Self-emp-not-inc', 'workclass_ State-gov', 'workclass_ Without-pay', 'education_ 10th', 'education_ 11th', 'education_ 12th', 'education_ 1st-4th', 'education_ 5th-6th', 'education_ 7th-8th', 'education_ 9th', 'education_ Assoc-acdm', 'education_ Assoc-voc', 'education_ Bachelors', 'education_ Doctorate', 'education_ HS-grad', 'education_ Masters', 'education_ Preschool', 'education_ Prof-school', 'education_ Some-college', 'gender_ Female', 'gender_ Male', 'occupation_ ?', 'occupation_ Adm-clerical', 'occupation_ Armed-Forces', 'occupation_ Craft-repair', 'occupation_ Exec-managerial', 'occupation_ Farming-fishing', 'occupation_ Handlers-cleaners', 'occupation_ Machine-op-inspct', 'occupation_ Other-service', 'occupation_ Priv-house-serv', 'occupation_ Prof-specialty', 'occupation_ Protective-serv', 'occupation_ Sales', 'occupation_ Tech-support', 'occupation_ Transport-moving', 'income_ <=50K', 'income_ >50K']\n"
          ]
        }
      ],
      "source": [
        "print(\"원본 특성:\\n\", list(data.columns), \"\\n\")\n",
        "data_dummies = pd.get_dummies(data)\n",
        "print(\"get_dummies 후의 특성:\\n\", list(data_dummies.columns))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "VOW5QUVNIw3K",
        "outputId": "b924f3d3-3f38-4eed-8ea2-469d6445e400",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   age  hours-per-week  workclass_ ?  workclass_ Federal-gov  ...  \\\n",
              "0   39              40         False                   False  ...   \n",
              "1   50              13         False                   False  ...   \n",
              "2   38              40         False                   False  ...   \n",
              "3   53              40         False                   False  ...   \n",
              "4   28              40         False                   False  ...   \n",
              "\n",
              "   occupation_ Tech-support  occupation_ Transport-moving  income_ <=50K  \\\n",
              "0                     False                         False           True   \n",
              "1                     False                         False           True   \n",
              "2                     False                         False           True   \n",
              "3                     False                         False           True   \n",
              "4                     False                         False           True   \n",
              "\n",
              "   income_ >50K  \n",
              "0         False  \n",
              "1         False  \n",
              "2         False  \n",
              "3         False  \n",
              "4         False  \n",
              "\n",
              "[5 rows x 46 columns]"
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              "        document.querySelector('#df-53e7f47c-dc87-4196-8cf0-c761ffc8b6b0 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-53e7f47c-dc87-4196-8cf0-c761ffc8b6b0');\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",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "</svg>\n",
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              "\n",
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              "  }\n",
              "\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "  }\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",
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              "      border-right-color: var(--fill-color);\n",
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              "      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-8e7d77cf-d9f3-4650-b234-307d546d0c8b 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": "data_dummies"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "data_dummies.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "scrolled": true,
        "id": "rLfGa57LIw3L",
        "outputId": "6c2fbaf5-078f-451b-a0db-665c04e77ecc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "X.shape: (32561, 44)  y.shape: (32561,)\n"
          ]
        }
      ],
      "source": [
        "features = data_dummies.loc[:, 'age':'occupation_ Transport-moving']\n",
        "# NumPy 배열 추출\n",
        "X = features.values\n",
        "y = data_dummies['income_ >50K'].values\n",
        "print(\"X.shape: {}  y.shape: {}\".format(X.shape, y.shape))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "esf4MCETIw3L",
        "outputId": "9fca03c7-3c90-420e-b22c-fba82a822585",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 점수: 0.81\n"
          ]
        }
      ],
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)\n",
        "logreg = LogisticRegression(max_iter=5000)\n",
        "logreg.fit(X_train, y_train)\n",
        "print(\"테스트 점수: {:.2f}\".format(logreg.score(X_test, y_test)))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hwpp6RJLIw3M"
      },
      "source": [
        "### 4.1.2 숫자로 표현된 범주형 특성"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "N9R6ud5IIw3N",
        "outputId": "3ab9951a-2b86-4468-e955-74e737d6cfc1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   숫자 특성 범주형 특성\n",
              "0      0     양말\n",
              "1      1     여우\n",
              "2      2     양말\n",
              "3      1     상자"
            ],
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              "\n",
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              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
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              "      <th></th>\n",
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              "      <td>2</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>상자</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-ac3b272c-1d8c-4fee-a3ba-0d8abdb8affa')\"\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-ac3b272c-1d8c-4fee-a3ba-0d8abdb8affa 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-ac3b272c-1d8c-4fee-a3ba-0d8abdb8affa');\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-9c94b95d-f4fe-4461-a9ef-f89d6d3135bb\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9c94b95d-f4fe-4461-a9ef-f89d6d3135bb')\"\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-9c94b95d-f4fe-4461-a9ef-f89d6d3135bb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_80dde43e-adbe-4341-bdb2-29cb2d950dee\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('demo_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\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",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_80dde43e-adbe-4341-bdb2-29cb2d950dee button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('demo_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "demo_df",
              "summary": "{\n  \"name\": \"demo_df\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"\\uc22b\\uc790 \\ud2b9\\uc131\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc94\\uc8fc\\ud615 \\ud2b9\\uc131\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"\\uc591\\ub9d0\",\n          \"\\uc5ec\\uc6b0\",\n          \"\\uc0c1\\uc790\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "# 숫자 특성과 범주형 문자열 특성을 가진 DataFrame을 만듭니다\n",
        "demo_df = pd.DataFrame({'숫자 특성': [0, 1, 2, 1],\n",
        "                        '범주형 특성': ['양말', '여우', '양말', '상자']})\n",
        "demo_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "4_oFHwMDIw3N",
        "outputId": "84258ecc-5070-4c33-a1e3-7a35cca19d95",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   숫자 특성  범주형 특성_상자  범주형 특성_양말  범주형 특성_여우\n",
              "0      0      False       True      False\n",
              "1      1      False      False       True\n",
              "2      2      False       True      False\n",
              "3      1       True      False      False"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b25437c9-4f15-48a2-a765-1cdd39fca411\" 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>숫자 특성</th>\n",
              "      <th>범주형 특성_상자</th>\n",
              "      <th>범주형 특성_양말</th>\n",
              "      <th>범주형 특성_여우</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</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-b25437c9-4f15-48a2-a765-1cdd39fca411')\"\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-b25437c9-4f15-48a2-a765-1cdd39fca411 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-b25437c9-4f15-48a2-a765-1cdd39fca411');\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-156e7bad-1ac6-4808-981f-9b7e14493f25\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-156e7bad-1ac6-4808-981f-9b7e14493f25')\"\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",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    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",
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              "      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-156e7bad-1ac6-4808-981f-9b7e14493f25 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",
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"\\uc22b\\uc790 \\ud2b9\\uc131\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc94\\uc8fc\\ud615 \\ud2b9\\uc131_\\uc0c1\\uc790\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc94\\uc8fc\\ud615 \\ud2b9\\uc131_\\uc591\\ub9d0\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          false,\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc94\\uc8fc\\ud615 \\ud2b9\\uc131_\\uc5ec\\uc6b0\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "pd.get_dummies(demo_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "0tG6_iweIw3O",
        "outputId": "5d5da70f-81ee-4845-f5a4-561d9f37907d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   숫자 특성_0  숫자 특성_1  숫자 특성_2  범주형 특성_상자  범주형 특성_양말  범주형 특성_여우\n",
              "0     True    False    False      False       True      False\n",
              "1    False     True    False      False      False       True\n",
              "2    False    False     True      False       True      False\n",
              "3    False     True    False       True      False      False"
            ],
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              "      <th>숫자 특성_2</th>\n",
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              "      <th>범주형 특성_양말</th>\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f6e130e6-1920-4204-8438-23bbf49c13e9')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
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              "    }\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",
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              "\n",
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              "\n",
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              "  </style>\n",
              "\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-f6e130e6-1920-4204-8438-23bbf49c13e9 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-f6e130e6-1920-4204-8438-23bbf49c13e9');\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",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "      --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",
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              "    20% {\n",
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              "      border-top-color: var(--fill-color);\n",
              "    }\n",
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              "      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-73e7bd30-a108-46b7-913f-42f5df868fa9 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",
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"\\uc22b\\uc790 \\ud2b9\\uc131_0\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          false,\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uc22b\\uc790 \\ud2b9\\uc131_1\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\uc22b\\uc790 \\ud2b9\\uc131_2\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc94\\uc8fc\\ud615 \\ud2b9\\uc131_\\uc0c1\\uc790\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc94\\uc8fc\\ud615 \\ud2b9\\uc131_\\uc591\\ub9d0\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          false,\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\ubc94\\uc8fc\\ud615 \\ud2b9\\uc131_\\uc5ec\\uc6b0\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "demo_df['숫자 특성'] = demo_df['숫자 특성'].astype(str)\n",
        "pd.get_dummies(demo_df, columns=['숫자 특성', '범주형 특성'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0Jkjtz_fIw3Y"
      },
      "source": [
        "## 4.2 OneHotEncoder와 ColumnTransformer: scikit-learn으로 범주형 변수 다루기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "scrolled": true,
        "id": "FgtaV2nCIw3Z",
        "outputId": "ca715db7-61af-43b6-dca3-11e3f79eae77",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1. 0. 0. 0. 1. 0.]\n",
            " [0. 1. 0. 0. 0. 1.]\n",
            " [0. 0. 1. 0. 1. 0.]\n",
            " [0. 1. 0. 1. 0. 0.]]\n"
          ]
        }
      ],
      "source": [
        "from sklearn.preprocessing import OneHotEncoder\n",
        "# sparse_output=False로 설정하면 OneHotEncode가 희소 행렬이 아니라 넘파이 배열을 반환합니다\n",
        "ohe = OneHotEncoder(sparse_output=False)\n",
        "print(ohe.fit_transform(demo_df))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "BfOgxSDJIw3e",
        "outputId": "2804cd39-e8ad-475d-8e95-5e7e7384cec1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['숫자 특성_0' '숫자 특성_1' '숫자 특성_2' '범주형 특성_상자' '범주형 특성_양말' '범주형 특성_여우']\n"
          ]
        }
      ],
      "source": [
        "# get_feature_names() 메서드가 1.0에서 deprecated 되었고 1.2 버전에서 삭제될 예정입니다.\n",
        "# 대신 get_feature_names_out()을 사용합니다.\n",
        "print(ohe.get_feature_names_out())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "0c74momiIw3k",
        "outputId": "e4e04ff8-d17e-4ee6-accb-05047a254e92",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   age          workclass   education   gender  hours-per-week  \\\n",
              "0   39          State-gov   Bachelors     Male              40   \n",
              "1   50   Self-emp-not-inc   Bachelors     Male              13   \n",
              "2   38            Private     HS-grad     Male              40   \n",
              "3   53            Private        11th     Male              40   \n",
              "4   28            Private   Bachelors   Female              40   \n",
              "\n",
              "           occupation  income  \n",
              "0        Adm-clerical   <=50K  \n",
              "1     Exec-managerial   <=50K  \n",
              "2   Handlers-cleaners   <=50K  \n",
              "3   Handlers-cleaners   <=50K  \n",
              "4      Prof-specialty   <=50K  "
            ],
            "text/html": [
              "\n",
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              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>age</th>\n",
              "      <th>workclass</th>\n",
              "      <th>education</th>\n",
              "      <th>gender</th>\n",
              "      <th>hours-per-week</th>\n",
              "      <th>occupation</th>\n",
              "      <th>income</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>39</td>\n",
              "      <td>State-gov</td>\n",
              "      <td>Bachelors</td>\n",
              "      <td>Male</td>\n",
              "      <td>40</td>\n",
              "      <td>Adm-clerical</td>\n",
              "      <td>&lt;=50K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>50</td>\n",
              "      <td>Self-emp-not-inc</td>\n",
              "      <td>Bachelors</td>\n",
              "      <td>Male</td>\n",
              "      <td>13</td>\n",
              "      <td>Exec-managerial</td>\n",
              "      <td>&lt;=50K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>38</td>\n",
              "      <td>Private</td>\n",
              "      <td>HS-grad</td>\n",
              "      <td>Male</td>\n",
              "      <td>40</td>\n",
              "      <td>Handlers-cleaners</td>\n",
              "      <td>&lt;=50K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>53</td>\n",
              "      <td>Private</td>\n",
              "      <td>11th</td>\n",
              "      <td>Male</td>\n",
              "      <td>40</td>\n",
              "      <td>Handlers-cleaners</td>\n",
              "      <td>&lt;=50K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>28</td>\n",
              "      <td>Private</td>\n",
              "      <td>Bachelors</td>\n",
              "      <td>Female</td>\n",
              "      <td>40</td>\n",
              "      <td>Prof-specialty</td>\n",
              "      <td>&lt;=50K</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-25ef362a-e7e0-4f5f-949a-e8a982a26bd6')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </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-25ef362a-e7e0-4f5f-949a-e8a982a26bd6 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-25ef362a-e7e0-4f5f-949a-e8a982a26bd6');\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",
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              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-3e55db99-88fa-44f3-82fe-235e2221079a\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3e55db99-88fa-44f3-82fe-235e2221079a')\"\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",
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              "    <g>\n",
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              "    </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-3e55db99-88fa-44f3-82fe-235e2221079a 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": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 32561,\n  \"fields\": [\n    {\n      \"column\": \"age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13,\n        \"min\": 17,\n        \"max\": 90,\n        \"num_unique_values\": 73,\n        \"samples\": [\n          28,\n          73,\n          35\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"workclass\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          \" Without-pay\",\n          \" Self-emp-not-inc\",\n          \" ?\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"education\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 16,\n        \"samples\": [\n          \" Bachelors\",\n          \" HS-grad\",\n          \" Some-college\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"gender\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \" Female\",\n          \" Male\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hours-per-week\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12,\n        \"min\": 1,\n        \"max\": 99,\n        \"num_unique_values\": 94,\n        \"samples\": [\n          6,\n          22\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"occupation\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \" Machine-op-inspct\",\n          \" ?\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"income\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \" >50K\",\n          \" <=50K\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "9AxYs_FgIw3n"
      },
      "outputs": [],
      "source": [
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "ct = ColumnTransformer(\n",
        "    [(\"scaling\", StandardScaler(), ['age', 'hours-per-week']),\n",
        "     (\"onehot\", OneHotEncoder(sparse_output=False),\n",
        "      ['workclass', 'education', 'gender', 'occupation'])])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "BtnCutqRIw3s",
        "outputId": "a40dbef3-4de5-4563-a823-a5e5fd4e082d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(24420, 44)\n"
          ]
        }
      ],
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "# income을 제외한 모든 열을 추출합니다\n",
        "data_features = data.drop(\"income\", axis=1)\n",
        "# 데이터프레임과 incom을 분할합니다.\n",
        "X_train, X_test, y_train, y_test = train_test_split(\n",
        "    data_features, data.income, random_state=0)\n",
        "\n",
        "ct.fit(X_train)\n",
        "X_train_trans = ct.transform(X_train)\n",
        "print(X_train_trans.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "6ibrgrDXIw3u",
        "outputId": "8a384ece-40c6-4602-c2a4-53e2047075bc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 점수: 0.81\n"
          ]
        }
      ],
      "source": [
        "logreg = LogisticRegression(max_iter=1000)\n",
        "logreg.fit(X_train_trans, y_train)\n",
        "\n",
        "X_test_trans = ct.transform(X_test)\n",
        "print(\"테스트 점수: {:.2f}\".format(logreg.score(X_test_trans, y_test)))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "ZjnSVylvIw3v",
        "outputId": "2d03a21e-b07f-42e4-8832-9d8876300d48",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "OneHotEncoder(sparse_output=False)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-1 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-1 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-1 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-1 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>OneHotEncoder(sparse_output=False)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>OneHotEncoder</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.preprocessing.OneHotEncoder.html\">?<span>Documentation for OneHotEncoder</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>OneHotEncoder(sparse_output=False)</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "ct.named_transformers_.onehot"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S7yBZFbCIw3v"
      },
      "source": [
        "## 4.3 make_column_transformer로 간편하게 ColumnTransformer 만들기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "hPJZS3xzIw3z"
      },
      "outputs": [],
      "source": [
        "from sklearn.compose import make_column_transformer\n",
        "ct = make_column_transformer(\n",
        "    (StandardScaler(), ['age', 'hours-per-week']),\n",
        "    (OneHotEncoder(sparse_output=False), ['workclass', 'education', 'gender', 'occupation']))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WDBR8NVJIw30"
      },
      "source": [
        "## 4.4 구간 분할, 이산화 그리고 선형 모델, 트리 모델"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "sIb614haIw31",
        "outputId": "3e775624-c1b6-4148-9b12-990a66616ec5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.tree import DecisionTreeRegressor\n",
        "\n",
        "X, y = mglearn.datasets.make_wave(n_samples=120)\n",
        "line = np.linspace(-3, 3, 1000, endpoint=False).reshape(-1, 1)\n",
        "\n",
        "reg = DecisionTreeRegressor(min_samples_leaf=3).fit(X, y)\n",
        "plt.plot(line, reg.predict(line), label=\"결정 트리\")\n",
        "\n",
        "reg = LinearRegression().fit(X, y)\n",
        "plt.plot(line, reg.predict(line), '--', label=\"선형 회귀\")\n",
        "\n",
        "plt.plot(X[:, 0], y, 'o', c='k')\n",
        "plt.ylabel(\"회귀 출력\")\n",
        "plt.xlabel(\"입력 특성\")\n",
        "plt.legend(loc=\"best\")\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "Qmp8Vs48Iw32"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import KBinsDiscretizer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "y8aASbjdIw32",
        "outputId": "3c2cf610-a3b3-488f-9f07-ec936a1aea19",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "bin edges: \n",
            " [array([-2.967, -2.378, -1.789, -1.2  , -0.612, -0.023,  0.566,  1.155,\n",
            "         1.744,  2.333,  2.921])                                       ]\n"
          ]
        }
      ],
      "source": [
        "kb = KBinsDiscretizer(n_bins=10, strategy='uniform')\n",
        "kb.fit(X)\n",
        "print(\"bin edges: \\n\", kb.bin_edges_)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "ejWyXxQoIw35",
        "outputId": "20a52b9a-f0e6-4851-fb7c-2ee5c76453e9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Compressed Sparse Row sparse matrix of dtype 'float64'\n",
              "\twith 120 stored elements and shape (120, 10)>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "X_binned = kb.transform(X)\n",
        "X_binned"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "OQhQ98-uIw36",
        "outputId": "9e8cbb60-f468-47da-ab53-2a46446bb727",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[-0.753]\n",
            " [ 2.704]\n",
            " [ 1.392]\n",
            " [ 0.592]\n",
            " [-2.064]\n",
            " [-2.064]\n",
            " [-2.651]\n",
            " [ 2.197]\n",
            " [ 0.607]\n",
            " [ 1.248]]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0., 0., 0., 1., 0., 0., 0., 0., 0., 0.],\n",
              "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],\n",
              "       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],\n",
              "       [0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
              "       [0., 1., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
              "       [0., 1., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
              "       [1., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
              "       [0., 0., 0., 0., 0., 0., 0., 0., 1., 0.],\n",
              "       [0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
              "       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.]])"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ],
      "source": [
        "print(X[:10])\n",
        "X_binned.toarray()[:10]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "bGE_lzdJIw37"
      },
      "outputs": [],
      "source": [
        "kb = KBinsDiscretizer(n_bins=10, strategy='uniform', encode='onehot-dense')\n",
        "kb.fit(X)\n",
        "X_binned = kb.transform(X)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "ptdBtCoBIw38",
        "outputId": "223a60d4-517b-4068-df8c-48c27a25f7c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "line_binned = kb.transform(line)\n",
        "\n",
        "reg = LinearRegression().fit(X_binned, y)\n",
        "plt.plot(line, reg.predict(line_binned), label='구간 선형 회귀')\n",
        "\n",
        "reg = DecisionTreeRegressor(min_samples_split=3).fit(X_binned, y)\n",
        "plt.plot(line, reg.predict(line_binned), label='구간 결정 트리')\n",
        "plt.plot(X[:, 0], y, 'o', c='k')\n",
        "plt.vlines(kb.bin_edges_[0], -3, 3, linewidth=1, alpha=.2)\n",
        "plt.legend(loc=\"best\")\n",
        "plt.ylabel(\"회귀 출력\")\n",
        "plt.xlabel(\"입력 특성\")\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wkizf20fIw39"
      },
      "source": [
        "## 4.5 상호작용과 다항식"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "K-IJo7d7Iw3-",
        "outputId": "f8600ba4-a326-4b49-8498-d02266c07809",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(120, 11)\n"
          ]
        }
      ],
      "source": [
        "X_combined = np.hstack([X, X_binned])\n",
        "print(X_combined.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "WTflF9qmIw3-",
        "outputId": "096583a5-bb4b-4260-fb9b-15eeb58eff17",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "reg = LinearRegression().fit(X_combined, y)\n",
        "\n",
        "line_combined = np.hstack([line, line_binned])\n",
        "plt.plot(line, reg.predict(line_combined), label='원본 특성을 더한 선형 회귀')\n",
        "\n",
        "plt.vlines(kb.bin_edges_[0], -3, 3, linewidth=1, alpha=.2)\n",
        "plt.legend(loc=\"best\")\n",
        "plt.ylabel(\"회귀 출력\")\n",
        "plt.xlabel(\"입력 특성\")\n",
        "plt.plot(X[:, 0], y, 'o', c='k')\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "k5EpjYALIw3_",
        "outputId": "2291aa33-f0d2-4492-dc2d-9c21cbac0300",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(120, 20)\n"
          ]
        }
      ],
      "source": [
        "X_product = np.hstack([X_binned, X * X_binned])\n",
        "print(X_product.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "6BmM8PThIw3_",
        "outputId": "321de614-4124-4e2f-b69b-4b07e998ccdf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "reg = LinearRegression().fit(X_product, y)\n",
        "\n",
        "line_product = np.hstack([line_binned, line * line_binned])\n",
        "plt.plot(line, reg.predict(line_product), label='원본 특성을 곱한 선형 회귀')\n",
        "\n",
        "plt.vlines(kb.bin_edges_[0], -3, 3, linewidth=1, alpha=.2)\n",
        "\n",
        "plt.plot(X[:, 0], y, 'o', c='k')\n",
        "plt.ylabel(\"회귀 출력\")\n",
        "plt.xlabel(\"입력 특성\")\n",
        "plt.legend(loc=\"best\")\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "ysbRYiNxIw3_"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import PolynomialFeatures\n",
        "\n",
        "# x ** 10까지 고차항을 추가합니다\n",
        "# 기본값인 \"include_bias=True\"는 절편에 해당하는 1인 특성을 추가합니다\n",
        "poly = PolynomialFeatures(degree=10, include_bias=False)\n",
        "poly.fit(X)\n",
        "X_poly = poly.transform(X)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "id": "VKiNC_QZIw4B",
        "outputId": "dc5567e6-de9d-40f9-c0e3-8695daa20aba",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "X_poly.shape: (120, 10)\n"
          ]
        }
      ],
      "source": [
        "print(\"X_poly.shape:\", X_poly.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "scrolled": true,
        "id": "H85nbXgxIw4D",
        "outputId": "b3567f33-0540-4284-fef2-cae24ab6e44d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "X 원소:\n",
            " [[-0.753]\n",
            " [ 2.704]\n",
            " [ 1.392]\n",
            " [ 0.592]\n",
            " [-2.064]]\n",
            "X_poly 원소:\n",
            " [[   -0.753     0.567    -0.427     0.321    -0.242     0.182    -0.137\n",
            "      0.103    -0.078     0.058]\n",
            " [    2.704     7.313    19.777    53.482   144.632   391.125  1057.714\n",
            "   2860.36   7735.232 20918.278]\n",
            " [    1.392     1.938     2.697     3.754     5.226     7.274    10.125\n",
            "     14.094    19.618    27.307]\n",
            " [    0.592     0.35      0.207     0.123     0.073     0.043     0.025\n",
            "      0.015     0.009     0.005]\n",
            " [   -2.064     4.26     -8.791    18.144   -37.448    77.289  -159.516\n",
            "    329.222  -679.478  1402.367]]\n"
          ]
        }
      ],
      "source": [
        "print(\"X 원소:\\n\", X[:5])\n",
        "print(\"X_poly 원소:\\n\", X_poly[:5])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "scrolled": true,
        "id": "sODM2cJIIw4F",
        "outputId": "ff3e4024-13f1-488f-ae47-a89b7395103d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "항 이름:\n",
            " ['x0' 'x0^2' 'x0^3' 'x0^4' 'x0^5' 'x0^6' 'x0^7' 'x0^8' 'x0^9' 'x0^10']\n"
          ]
        }
      ],
      "source": [
        "# get_feature_names() 메서드가 1.0에서 deprecated 되었고 1.2 버전에서 삭제될 예정입니다.\n",
        "# 대신 get_feature_names_out()을 사용합니다.\n",
        "print(\"항 이름:\\n\", poly.get_feature_names_out())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "id": "MM72GuNTIw4G",
        "outputId": "df8b4fcb-d1e5-444b-b80d-d78e1f4abfa1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "reg = LinearRegression().fit(X_poly, y)\n",
        "\n",
        "line_poly = poly.transform(line)\n",
        "plt.plot(line, reg.predict(line_poly), label='다항 선형 회귀')\n",
        "plt.plot(X[:, 0], y, 'o', c='k')\n",
        "plt.ylabel(\"회귀 출력\")\n",
        "plt.xlabel(\"입력 특성\")\n",
        "plt.legend(loc=\"best\")\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "hgkxKEjKIw4G",
        "outputId": "9ccd8ac1-e85d-469c-bb7f-0a4e50daa5f3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from sklearn.svm import SVR\n",
        "\n",
        "for gamma in [1, 10]:\n",
        "    svr = SVR(gamma=gamma).fit(X, y)\n",
        "    plt.plot(line, svr.predict(line), label='SVR gamma={}'.format(gamma))\n",
        "\n",
        "plt.plot(X[:, 0], y, 'o', c='k')\n",
        "plt.ylabel(\"회귀 출력\")\n",
        "plt.xlabel(\"입력 특성\")\n",
        "plt.legend(loc=\"best\")\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "id": "gd3fG73eIw4H"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "\n",
        "# 보스턴 주택 데이터셋이 1.2 버전에서 삭제되므로 직접 다운로드합니다.\n",
        "data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n",
        "raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n",
        "data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n",
        "target = raw_df.values[1::2, 2]\n",
        "X_train, X_test, y_train, y_test = train_test_split(data, target,\n",
        "                                                    random_state=0)\n",
        "\n",
        "# 데이터 스케일 조정\n",
        "scaler = MinMaxScaler()\n",
        "X_train_scaled = scaler.fit_transform(X_train)\n",
        "X_test_scaled = scaler.transform(X_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "id": "nnRgSZWjIw4H",
        "outputId": "3f1061f9-e884-4c80-a62e-6eea912026cc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "X_train.shape: (379, 13)\n",
            "X_train_poly.shape: (379, 105)\n"
          ]
        }
      ],
      "source": [
        "poly = PolynomialFeatures(degree=2).fit(X_train_scaled)\n",
        "X_train_poly = poly.transform(X_train_scaled)\n",
        "X_test_poly = poly.transform(X_test_scaled)\n",
        "print(\"X_train.shape:\", X_train.shape)\n",
        "print(\"X_train_poly.shape:\", X_train_poly.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "GgZCRbymIw4J",
        "outputId": "4de02270-f166-4409-f17e-2f400fe7c1f4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "다항 특성 이름:\n",
            " ['1' 'x0' 'x1' 'x2' 'x3' 'x4' 'x5' 'x6' 'x7' 'x8' 'x9' 'x10' 'x11' 'x12'\n",
            " 'x0^2' 'x0 x1' 'x0 x2' 'x0 x3' 'x0 x4' 'x0 x5' 'x0 x6' 'x0 x7' 'x0 x8'\n",
            " 'x0 x9' 'x0 x10' 'x0 x11' 'x0 x12' 'x1^2' 'x1 x2' 'x1 x3' 'x1 x4' 'x1 x5'\n",
            " 'x1 x6' 'x1 x7' 'x1 x8' 'x1 x9' 'x1 x10' 'x1 x11' 'x1 x12' 'x2^2' 'x2 x3'\n",
            " 'x2 x4' 'x2 x5' 'x2 x6' 'x2 x7' 'x2 x8' 'x2 x9' 'x2 x10' 'x2 x11'\n",
            " 'x2 x12' 'x3^2' 'x3 x4' 'x3 x5' 'x3 x6' 'x3 x7' 'x3 x8' 'x3 x9' 'x3 x10'\n",
            " 'x3 x11' 'x3 x12' 'x4^2' 'x4 x5' 'x4 x6' 'x4 x7' 'x4 x8' 'x4 x9' 'x4 x10'\n",
            " 'x4 x11' 'x4 x12' 'x5^2' 'x5 x6' 'x5 x7' 'x5 x8' 'x5 x9' 'x5 x10'\n",
            " 'x5 x11' 'x5 x12' 'x6^2' 'x6 x7' 'x6 x8' 'x6 x9' 'x6 x10' 'x6 x11'\n",
            " 'x6 x12' 'x7^2' 'x7 x8' 'x7 x9' 'x7 x10' 'x7 x11' 'x7 x12' 'x8^2' 'x8 x9'\n",
            " 'x8 x10' 'x8 x11' 'x8 x12' 'x9^2' 'x9 x10' 'x9 x11' 'x9 x12' 'x10^2'\n",
            " 'x10 x11' 'x10 x12' 'x11^2' 'x11 x12' 'x12^2']\n"
          ]
        }
      ],
      "source": [
        "# get_feature_names() 메서드가 1.0에서 deprecated 되었고 1.2 버전에서 삭제될 예정입니다.\n",
        "# 대신 get_feature_names_out()을 사용합니다.\n",
        "print(\"다항 특성 이름:\\n\", poly.get_feature_names_out())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "id": "kSjfWTQQIw4K",
        "outputId": "1953f57c-e9ee-443e-da0b-4eb487a23fe5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "상호작용 특성이 없을 때 점수: 0.621\n",
            "상호작용 특성이 있을 때 점수: 0.753\n"
          ]
        }
      ],
      "source": [
        "from sklearn.linear_model import Ridge\n",
        "ridge = Ridge().fit(X_train_scaled, y_train)\n",
        "print(\"상호작용 특성이 없을 때 점수: {:.3f}\".format(ridge.score(X_test_scaled, y_test)))\n",
        "ridge = Ridge().fit(X_train_poly, y_train)\n",
        "print(\"상호작용 특성이 있을 때 점수: {:.3f}\".format(ridge.score(X_test_poly, y_test)))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "id": "J0HAGJpfIw4L",
        "outputId": "88840b40-ec8c-4479-89f5-8276ad3ae1e8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "상호작용 특성이 없을 때 점수: 0.795\n",
            "상호작용 특성이 있을 때 점수: 0.780\n"
          ]
        }
      ],
      "source": [
        "from sklearn.ensemble import RandomForestRegressor\n",
        "rf = RandomForestRegressor(n_estimators=100, random_state=0).fit(X_train_scaled, y_train)\n",
        "print(\"상호작용 특성이 없을 때 점수: {:.3f}\".format(rf.score(X_test_scaled, y_test)))\n",
        "rf = RandomForestRegressor(n_estimators=100, random_state=0).fit(X_train_poly, y_train)\n",
        "print(\"상호작용 특성이 있을 때 점수: {:.3f}\".format(rf.score(X_test_poly, y_test)))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qcQsnngOIw4M"
      },
      "source": [
        "## 4.6 일변량 비선형 변환"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "id": "odTyERvWIw4M",
        "outputId": "78a1620c-f5a4-46e9-b186-01107bcda14d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ 56  81  25  20  27  18  12  21 109   7]\n"
          ]
        }
      ],
      "source": [
        "rnd = np.random.RandomState(0)\n",
        "X_org = rnd.normal(size=(1000, 3))\n",
        "w = rnd.normal(size=3)\n",
        "\n",
        "X = rnd.poisson(10 * np.exp(X_org))\n",
        "y = np.dot(X_org, w)\n",
        "print(X[:10, 0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "scrolled": true,
        "id": "sKqs7xgpIw4N",
        "outputId": "71730da4-7aea-4341-aefe-e5088c48613a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "특성 출현 횟수:\n",
            " [28 38 68 48 61 59 45 56 37 40 35 34 36 26 23 26 27 21 23 23 18 21 10  9\n",
            " 17  9  7 14 12  7  3  8  4  5  5  3  4  2  4  1  1  3  2  5  3  8  2  5\n",
            "  2  1  2  3  3  2  2  3  3  0  1  2  1  0  0  3  1  0  0  0  1  3  0  1\n",
            "  0  2  0  1  1  0  0  0  0  1  0  0  2  2  0  1  1  0  0  0  0  1  1  0\n",
            "  0  0  0  0  0  0  1  0  0  0  0  0  1  1  0  0  1  0  0  0  0  0  0  0\n",
            "  1  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1]\n"
          ]
        }
      ],
      "source": [
        "print(\"특성 출현 횟수:\\n\", np.bincount(X[:, 0]))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "id": "wYBMliVlIw4N",
        "outputId": "9a3e6d90-035e-4de1-8f54-24142f3a09e4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 454
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.xlim(0, 160)\n",
        "plt.ylim(0, 70)\n",
        "bins = np.bincount(X[:, 0])\n",
        "plt.bar(range(len(bins)), bins, color='grey')\n",
        "plt.ylabel(\"출현 횟수\")\n",
        "plt.xlabel(\"값\")\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "mxSOHs9fIw4N",
        "outputId": "3f027b12-d14e-460e-83e2-ef6177edebdb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 점수: 0.622\n"
          ]
        }
      ],
      "source": [
        "from sklearn.linear_model import Ridge\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)\n",
        "score = Ridge().fit(X_train, y_train).score(X_test, y_test)\n",
        "print(\"테스트 점수: {:.3f}\".format(score))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "id": "DKjp5UcnIw4O"
      },
      "outputs": [],
      "source": [
        "X_train_log = np.log(X_train + 1)\n",
        "X_test_log = np.log(X_test + 1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "id": "-2miAqoWIw4O",
        "outputId": "37ceefc2-920e-44ae-ffee-2d1fa3108cf3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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N+s6+zzzzjHJyciRxQzwAAGCtQReZgoKC8M8/+9nPuKcMAACwzBdqIatXr454/Ytf/EKbNm36QoEAAAAGqt8iY7fb5XA4PnecO3dOknTgwAE5nc5hDw0AACAN4NTSkSNHet3e3t6u06dPa/r06UpOTtalS5e0a9culZaWDnlIAACA3vRbZHJycvT222/L5/Np6dKl4e2nT5/WmjVrVF9fL0lat26dFi1apKlTpw5fWgAAgGsM6BqZ999/X2+//bYaGxt1//3361e/+pXS0tL0ySef6I9//KPmzZun//mf/9GWLVuGOy8AAEBYv0UmKytLNptNoVBI69ev1913363169erq6tL7e3tSkxMlNPp1JUrV9Te3n4zMgMAAEgaQJG5dOlS+OfGxkZVV1drzpw52rBhg3p6ejRhwgS98cYb+ru/+7vrnsUEAAAwnAb19etQKCSbzab4+HgdPHhQoVAovAqzadMmHT16VA0NDcMSFAAA4C8N6oZ4Y8eO1f/93//p6NGj+sMf/qCFCxeqs7MzvO+b3/ymfvOb32jWrFnDEhZApPLycqsjAICl+l2Ree6558IrMd/5znc0bdo0TZo0SRkZGZKknp6e8LHz58/X+fPnhy8tAADANfotMn//938f/nnt2rX64IMPVFNT0+uxRUVFev7554cuHQAAwOcY0KmllStXhn+eNm1a+OeHHnpIY8aMCb++7bbbhjAaAADA5xv0QyOv9aMf/WiocgAAAAwaj64GAADGosgAAABjUWQAAICx+r1G5o9//GO/k6SmpiolJUWBQEA/+clP9MQTTwxJOAAAgM/Tb5GZOXNmxGubzSa73a5gMBi+v8yGDRv01FNPqbOzUyUlJRQZAABwU/RbZILBYMRrh8Ohjo4OfeUrX9H27dt1xx13ROwPhUJDmxAAAKAPA7pG5sKFC/re974nScrOzpbdbtcdd9yhUaNGXXeszWYb2oQAAAB96LfIBINBXb58WTt37pQkbd++Xf/4j/+oSZMmKTk5edgDAgAA9KXfU0uxsbH63//9X0lSe3u7CgoK9NBDD+mtt97SpUuX5PF4hiRIVVWV/vVf/1V79+5Vfn6+Ojo6tG7dOu3atUvBYFALFy7U5s2blZSUNCS/D7ASD3sEgKHR74rMZxf0hkIh7d+/XzNmzNBzzz2nHTt29PnMpcE6duyYtm/frokTJ4a3Pfroo2psbNSHH36opqYmSdIjjzwyJL8PAACMDP2uyFx7zcv58+d1++23S5IyMzPl8/kkSZ2dnaqqqlJXV9egAwQCARUXF+tnP/uZiouLJUl+v1/btm3Tvn37lJCQIEmqrq5WZmamjh8/runTpw/69wAAgJFnQCsyn5k8ebIOHTokSTp8+LCysrIkST09PTp8+LCOHj2qBx54YFABNm3apNzcXOXn54e3NTQ0KBQKKTc3N7wtIyNDWVlZqqur63Ouzs5OtbW1RQwAADBy9bsi8/3vf182m002m015eXkaPXq07rzzTp0/f17PPPOMJGn06NF67bXXBv3L3333XW3fvl1HjhyJ2O71epWUlKSYmMh4LpdLXq+3z/kqKyu59gAAgFtIv0WmsrJSp0+fDq/MvPHGG/rNb36jrKwszZs374Z/cVdXl4qLi/Xzn/9cY8aMidgXDAZ7/Rr3Zzfi60tJSUn4a+KS1NbWpszMzBvOCAAAotuA7iMzceJEHThwQNKnqy//8A//8IXvF/PUU09pzpw5+upXv3rdvqSkJLW2tl53cz2fz/e5X/l2Op1KSEiIGAAAYOTqd0VGkmJiYsJ38L1y5Yri4+N13333qb29/YZ/8aFDh1RXV6df//rX4W1tbW1aunSpMjMz1dXVpWPHjunuu++W9GmJOXHihNxu9w3/TgAAMLIM+unXhYWF2r17d/j1b3/7W/32t7/VH/7wB0nSihUrBjTP66+/rra2NrW2toZHVlaWfve73+n48eMqKirSunXr5Pf7dfXqVa1du1azZ8/W7NmzBxsZAACMUAMqMt/97nfl9/vV1dWlw4cPa9q0aeF9Dz30kB599FEtX75ckvTyyy8PSbCtW7cqLS1NU6ZMUXp6utrb27Vr164hmRsAAIwM/Z5aOnz4sF566SW99957euyxxzRx4kRNnTo14piTJ09q/Pjxkr7YQyNPnToV/jkhIUEvvfTSDc8FAABGvn5XZObPn69Ro0bJbrfrX/7lX/Sd73wnYj8PiQQAAFYZ0KmlQCCg559/Xj6fT8uWLZP06c3nuPAWAABYacAX+06ePFl/+7d/G77xncPh0D//8z8PWzAAAID+DPgRBcFgUN/+9rf1/PPPS/r0K9mrV68e3nQAAACfo98ic+2jBxYvXqwzZ87oxIkT1x3X3d2t3//+90ObDgAA4HP0+62lxYsXa/z48bLZbIqNjVVOTo7eeeed8P7PHhyZlJSk1atXKyMjY/jSAgAAXGNAd/b905/+FP7529/+trKzs8OvT548KSnyq9PASMVDSQEgugyoyFzrs69fX1tmAAAArDDoRxR8pr6+fihzAAAADNoNFxkAAACrUWQAAICxKDIAAMBYFBkAAGAsigwAADAWRQYAABiLIgMAAIxFkQEAAMaiyAAAAGNRZAAAgLEoMgAAwFgUGQAAYCyKDAAAMBZFBgAAGIsiAwAAjEWRAQAAxqLIAAAAY1FkAACAsWKsDgAAsE55efmQzFNWVjYk8wCDxYoMAAAwFkUGAAAYiyIDAACMRZEBAADGsvRi31deeUUej0cfffSRYmJilJOTo8rKSuXk5CgYDOrJJ5/Uiy++qK6uLs2aNUtbtmzRpEmTrIw84nHhHwDAJJauyOzevVvV1dU6e/asTp8+rXvuuUdLlixRMBhUVVWVampqVF9fr5aWFmVnZ6uwsFCBQMDKyAAAIIpYWmR++ctfas6cObLZbIqJidE3vvENnT17VufPn5fH41FpaalSU1PlcDhUUVGhpqYm7dmzx8rIAAAgikTNNTItLS2qqqrSfffdpytXrsjr9SovLy+8Py4uTm63W3V1dX3O0dnZqba2togBAABGrqgoMvPmzVN6erpOnz6tl19+WV6vV5LkcrkijnO5XOF9vamsrFRiYmJ4ZGZmDmtuAABgragoMvv375fX69X06dM1f/58BYNBSZLNZos4zm63h/f1pqSkRH6/Pzyam5uHNTcAALBW1DyiICUlRc8995zGjh2r9957T5Lk8/mUlpYWPsbn82nKlCl9zuF0OuV0Ooc7KgAAiBKWrcj09PRct81ut8vhcOj2229XYmKiGhoawvsCgYCOHDkit9t9M2MCAIAoZtmKzPvvv68nn3xSmzZt0owZM9TV1aX169fL5XJp4cKFWrlypTZs2KBZs2YpOTlZP/zhDxUfH6/CwkKrIgPox1DdhwgABsqyIjNjxgwtXrxYxcXF+vjjjxUTE6N7771Xe/bsUXx8vCoqKtTR0aGcnBx1d3fL7XartrZWcXFxVkUGAABRxrIi43A4tGbNGq1Zs6bX/bGxsfJ4PPJ4PDc5GQAAMEVUfGsJAADgRlBkAACAsSgyAADAWBQZAABgLIoMAAAwFkUGAAAYiyIDAACMRZEBAADGosgAAABjUWQAAICxKDIAAMBYFBkAAGAsigwAADAWRQYAABiLIgMAAIxFkQEAAMaiyAAAAGNRZAAAgLEoMgAAwFgUGQAAYCyKDAAAMBZFBgAAGIsiAwAAjBVjdQAAgPnKy8uHZJ6ysrIhmQe3DlZkAACAsSgyAADAWBQZAABgLIoMAAAwFkUGAAAYiyIDAACMRZEBAADGosgAAABjWXpDvEOHDmnjxo2qr6+Xw+HQ9OnT9ZOf/EQzZ85UMBjUk08+qRdffFFdXV2aNWuWtmzZokmTJlkZGQAwjLixHgbL0hWZJ554QqtWrVJLS4s++eQTffnLX9bXv/51SVJVVZVqampUX1+vlpYWZWdnq7CwUIFAwMrIAAAgilhaZN544w197Wtfk8PhkN1u17e+9S01NTXJ6/XK4/GotLRUqampcjgcqqioUFNTk/bs2WNlZAAAEEUsLTIxMZFntg4ePCiXy6XLly/L6/UqLy8vvC8uLk5ut1t1dXV9ztfZ2am2traIAQAARq6oudj3o48+0uOPP67q6mqdO3dOkuRyuSKOcblc8nq9fc5RWVmpxMTE8MjMzBzWzAAAwFpRUWQuXryoBx98UCtWrNDy5csVDAYlSTabLeI4u90e3tebkpIS+f3+8Ghubh7W3AAAwFqWfmtJki5fvqyCggLNmjVLP/7xjyVJSUlJkiSfz6e0tLTwsT6fT1OmTOlzLqfTKafTObyBAQBA1LB0Rebq1ataunSp0tPTtW3btvAKzNSpU5WYmKiGhobwsYFAQEeOHJHb7bYqLgAAiDKWrch0dXVp2bJlcjqd2rlzZ8SFvzExMVq5cqU2bNigWbNmKTk5WT/84Q8VHx+vwsJCqyJH4F4HABC9+Dv61mFZkTl48KBqa2s1fvx4ZWVlRezbvn27Kioq1NHRoZycHHV3d8vtdqu2tlZxcXEWJQYAANHGsiKzYMEChUKhzz3G4/HI4/HcpEQAAMA0UfGtJQAAgBtBkQEAAMaiyAAAAGNRZAAAgLEoMgAAwFgUGQAAYCyKDAAAMBZFBgAAGIsiAwAAjEWRAQAAxqLIAAAAY1FkAACAsSgyAADAWBQZAABgLIoMAAAwFkUGAAAYiyIDAACMRZEBAADGosgAAABjUWQAAICxKDIAAMBYFBkAAGAsigwAADAWRQYAABiLIgMAAIxFkQEAAMaiyAAAAGNRZAAAgLEoMgAAwFgUGQAAYCyKDAAAMBZFBgAAGMvyItPc3Kzc3FzZbDYFAoHw9mAwqNLSUmVkZCglJUUFBQU6deqUdUEBAEDUsbTIvPPOO5o7d65mzpx53b6qqirV1NSovr5eLS0tys7OVmFhYUTZAQAAtzZLi8zUqVN1/PhxPfLIIxHbQ6GQPB6PSktLlZqaKofDoYqKCjU1NWnPnj0WpQUAANHG0iKTlJSkMWPGXLf95MmT8nq9ysvLC2+Li4uT2+1WXV1dn/N1dnaqra0tYgAAgJHL8mtkeuP1eiVJLpcrYrvL5Qrv601lZaUSExPDIzMzc1hzAgAAa0VlkQkGg5Ikm80Wsd1ut4f39aakpER+vz88mpubhzUnAACwVozVAXqTlJQkSfL5fEpLSwtv9/l8mjJlSp/vczqdcjqdw54PAABEh6hckZk6daoSExPV0NAQ3hYIBHTkyBG53W4LkwEAgGgSlUUmJiZGK1eu1IYNG9TS0qLu7m6VlpYqPj5ehYWFVscDAABRIipPLUlSRUWFOjo6lJOTo+7ubrndbtXW1iouLs7qaAAAIEpERZHJz89XKBSK2BYbGyuPxyOPx2NRKgAAEO2i8tQSAADAQETFigwAAOhfeXn5kMxTVlY2JPNEA1ZkAACAsSgyAADAWBQZAABgLIoMAAAwFhf7AgDQh6G6uBbDhxUZAABgLIoMAAAwFkUGAAAYiyIDAACMRZEBAADGosgAAABjUWQAAICxKDIAAMBYFBkAAGAsigwAADAWRQYAABiLIgMAAIzFQyMBALjFDNXDMMvKyoZkni+CFRkAAGAsigwAADAWRQYAABiLIgMAAIxFkQEAAMaiyAAAAGNRZAAAgLEoMgAAwFgUGQAAYCyKDAAAMBZFBgAAGIsiAwAAjBXVRaajo0OrVq1SWlqaXC6XHn74YV24cMHqWAAAIEpEdZF59NFH1djYqA8//FBNTU2SpEceecTiVAAAIFrEWB2gL36/X9u2bdO+ffuUkJAgSaqurlZmZqaOHz+u6dOnW5wQAABYLWqLTENDg0KhkHJzc8PbMjIylJWVpbq6ul6LTGdnpzo7O8Ov/X6/JKmtrW3I83V0dAzJPMOR7YuItj/XSM0DACPBcP0b9tm8oVCo/4NDUeo//uM/Qi6X67rt9957b6iysrLX95SVlYUkMRgMBoPBGAGjubm5374QtSsywWBQNpvtuu12u13BYLDX95SUlOh73/texBw+n09JSUm9znWj2tralJmZqebm5vBpLww/Pndr8Llbg8/dGnzu1vjLzz0UCunSpUtKT0/v971RW2SSkpLU2tqqUCgUUUJ8Pp+Sk5N7fY/T6ZTT6YzYNm7cuGHLmJCQwP/oFuBztwafuzX43K3B526Naz/3xMTEAb0nar+1dM8996irq0vHjh0Lb/P5fDpx4oTcbreFyQAAQLSI2iLjcrlUVFSkdevWye/36+rVq1q7dq1mz56t2bNnWx0PAABEgagtMpK0detWpaWlacqUKUpPT1d7e7t27dpldSw5nU6VlZVddxoLw4vP3Rp87tbgc7cGn7s1vsjnbguFBvLdJgAAgOgT1SsyAAAAn4ciAwAAjEWRAQAAxqLIDBJP5LZOc3OzcnNzZbPZFAgErI5zSzh06JAeeOABpaSkKC0tTYsWLdJ7771ndawR75VXXlFeXp5cLpcmTpyoBx54QEePHrU61i2jqqpKNptN+/btszrKLSE/P1/jx49XampqeBQWFg74/RSZQeKJ3NZ45513NHfuXM2cOdPqKLeUJ554QqtWrVJLS4s++eQTffnLX9bXv/51q2ONeLt371Z1dbXOnj2r06dP65577tGSJUv6vKs5hs6xY8e0fft2TZw40eoot5SamhqdPXs2PHbv3j3g9/KtpUHw+/2aMGGC9u3bp7lz50qSPv74Y2VmZqqxsZEncg+jCxcuyOl0qr6+XgsXLlR3d7diYqL2xtQjRiAQiPicGxsbddddd+ns2bNyuVwWJru1HD16VDNnzpTX61VKSorVcUasQCCgOXPm6Ec/+pGKi4v14osvKj8/3+pYI15+fr42btx4w581KzKD0N8TuTF8kpKSNGbMGKtj3HL+siwePHhQLperz8eEYOi1tLSoqqpK9913HyVmmG3atEm5ubmUF8NQZAbB6/UqKSnpur/cXS6XvF6vRamAm+Ojjz7S448/rurqajkcDqvj3BLmzZun9PR0nT59Wi+//LLVcUa0d999V9u3b1dVVZXVUW5JDz/8sFJSUnTnnXdqxYoVOnHixIDfS5EZhBt5IjcwEly8eFEPPvigVqxYoeXLl1sd55axf/9+eb1eTZ8+XfPnz1dHR4fVkUakrq4uFRcX6+c//zkrvxZ49dVXdebMGZ07d061tbXq7u7WggUL5PP5BvR+iswgXPtE7mt93hO5AdNdvnxZBQUFmjVrln784x9bHeeWk5KSoueee04nTpzQm2++aXWcEempp57SnDlz9NWvftXqKLekCRMmyG7/tI5MnjxZL7zwgi5cuDDg/98pMoPAE7lxq7l69aqWLl2q9PR0bdu2rdcVSQytnp6e67bZ7XY5HA5O6Q2TQ4cOaceOHRo3blx4NDU1aenSpZo3b57V8W453d3d6unp0fjx4wd0PEVmEHgiN24lXV1dWrZsmZxOp3bu3Mm3xG6S999/Xw8++KDef/99SZ/+d3jsscfkcrn4R3WYvP7662pra1Nra2t4ZGVl6Xe/+532799vdbwR7dixY9q8ebNaW1slSefPn1dxcbHuvffeAV90TZEZpGh9Ijcw1A4ePKja2lrV19crKysr4mZVb7zxhtXxRqwZM2Zo8eLFKi4ulsvl0uTJk3X69Gnt2bNH8fHxVscDhlRaWpoaGxs1c+ZMpaSk6O6775bL5dJrr7024BVI7iMDAACMxYoMAAAwFkUGAAAYiyIDAACMRZEBAADGosgAAABjUWQAAICxKDIAAMBYFBkAAGAsigwAY117P89x48Zp37591oUBYAmKDAAjzJw5UzExMeHhcDgUExOj9vZ2q6MBsBBPgQNghIMHD4afDG2327Vx40YdOnRIo0ePDh9z+fJltba2asyYMTzkErhF8KwlAMZpbGxUXl6e/vM//1OLFi2S9OmpJb/fL0nau3fvgJ+cC8BsnFoCYJT/+q//Un5+vh577LFwifnM3r17FQqFKDHALYS1VwBR78KFC3rllVf0y1/+Uo2Njfq3f/s3/dM//ZPVsQBEAYoMgKjn8/n07LPPqqioSK+99pomTJhw3THr1q1TVlaWBekAWIlrZAAY44MPPtC0adMUGxurt99+WxkZGcrKytLOnTtlt9v1jW98w+qIAG4yrpEBYIwZM2bok08+kSQ9+eSTeuuttyR9em1MQ0ODldEAWIQiA8Aod911l8aMGRNx87vjx4/L6/VaFwqAZSgyAIzy4Ycf6vLly+FvJv35z3/WBx98oN///vdqamqyNhyAm46LfQEYpaenR4FAQKFQSBcvXtS3vvUtrV+/XoFAQEVFRXr99dc1btw4q2MCuEm42BeAMWw2W8TrtLQ0zZkzR7/+9a8VCoW0bNkyFRQUaPXq1RYlBHCzUWQAGOuzlZnY2FhJn67WOBwOi1MBuJkoMgAAwFhc7AsAAIxFkQEAAMaiyAAAAGNRZAAAgLEoMgAAwFgUGQAAYCyKDAAAMBZFBgAAGIsiAwAAjPX/AOhrDPOfoL1uAAAAAElFTkSuQmCC\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.hist(X_train_log[:, 0], bins=25, color='gray')\n",
        "plt.ylabel(\"출현 횟수\")\n",
        "plt.xlabel(\"값\")\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "id": "y1cu5C8_Iw4O",
        "outputId": "a60b3922-0efb-4dcb-c2f7-8c54d809fdd8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 점수: 0.875\n"
          ]
        }
      ],
      "source": [
        "score = Ridge().fit(X_train_log, y_train).score(X_test_log, y_test)\n",
        "print(\"테스트 점수: {:.3f}\".format(score))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GkPUOncwIw4P"
      },
      "source": [
        "## 4.7 특성 자동 선택\n",
        "### 4.7.1 일변량 통계"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "id": "jzsMG7ebIw4P",
        "outputId": "200cf051-fc6a-4dd7-b590-5e920e41eb50",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "X_train.shape: (284, 80)\n",
            "X_train_selected.shape: (284, 40)\n"
          ]
        }
      ],
      "source": [
        "from sklearn.datasets import load_breast_cancer\n",
        "from sklearn.feature_selection import SelectPercentile, f_classif\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "cancer = load_breast_cancer()\n",
        "\n",
        "# 고정된 난수를 발생시킵니다\n",
        "rng = np.random.RandomState(42)\n",
        "noise = rng.normal(size=(len(cancer.data), 50))\n",
        "# 데이터에 노이즈 특성을 추가합니다\n",
        "# 처음 30개는 원본 특성이고 다음 50개는 노이즈입니다\n",
        "X_w_noise = np.hstack([cancer.data, noise])\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(\n",
        "    X_w_noise, cancer.target, random_state=0, test_size=.5)\n",
        "# f_classif(기본값)와 SelectPercentile을 사용하여 특성의 50%를 선택합니다\n",
        "select = SelectPercentile(score_func=f_classif, percentile=50)\n",
        "select.fit(X_train, y_train)\n",
        "# 훈련 세트에 적용합니다\n",
        "X_train_selected = select.transform(X_train)\n",
        "\n",
        "print(\"X_train.shape:\", X_train.shape)\n",
        "print(\"X_train_selected.shape:\", X_train_selected.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "id": "aCY3CHWwIw4Q",
        "outputId": "97763d7e-490b-49eb-90a5-16e0c35c6aa8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 212
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ True  True  True  True  True  True  True  True  True False  True False\n",
            "  True  True  True  True  True  True False False  True  True  True  True\n",
            "  True  True  True  True  True  True False False False  True False  True\n",
            " False False  True False False False False  True False False  True False\n",
            " False  True False  True False False False False False False  True False\n",
            "  True False False False False  True False  True False False False False\n",
            "  True  True False  True False False False False]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x200 with 1 Axes>"
            ],
            "image/png": 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hvqiVYRH9B7XCJp4Ao0COVUeVz/Wjz/f6e01X/EarY/HC71VU+rXW3bEWKL9WoMDj/bWE8v2HJ+wlfQpoGa78sKYTJRp5n0ssGgou9G4rbaFJI/hzFU9t3ifUS0l0C1WbR0luiDRPaqacA2Hv16BLP3e544lKuvdmpr9owfsOflR/S0aOQyIcFynRIZOS0rfqdXMa6XGOfNrDWPGNGzjFez/dAcFjmxCdIVANr3H6hgf24uE7DrXoZ+z4CmqIvvL1Ip3vcLla0k+EhHhypI1QJJZQJd9TR4KqsgQWE0n+cFMTbnV1A2Rviz50q/bbLRmTMsxzJdiMjSKKCWO4i+HxjnuA7BK8wHfGrrpq3Yenp1jMCR86McM507RAOmnS2M8NrXh65W+OVlUoyXIKVWP+1ElWQ5Vjp4hIykMs1hLRWNqnc+RzzR2a4iX99PusBdlNSwNai3nwW0pnVWxaWxg0fgvi1FhU2MKycSvWjf3TO9rZQ71Mll6qiDOZJ0dqCEXqCFV6PXWkoCpLUDGRwoeaFFd/0R/ibz/Umj//A2ak5m8KZW5kc3RyZWFtCmVuZG9iagoyNyAwIG9iago8PCAvTGVuZ3RoIDU3OSAvRmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0KeJw1k0tuJDEMQ/d9Cl2gAevj33l6MJhFcv/tPKqSRUEu25Iokp4nbdhMe1farLCdy/74q+6xFde+X7WvrRpWU/Fa5bY1l31e5dPWCsvrxGXJp/h5ZY5exSVnbovtXePzCtqsSAvnZAxzbkxOPy+njwD4KpvjmgOqnhN2K9McaHm5kdNyqpqDRasv7iT9iyzw7NNVdFd1p9VY5udY+bEYZRVHWIKpkh2qVIGSqYqunCiHeeOyownJU2SyWc/O0Q0+B2Upp8qpxkfncj6YfRDMIUyw7KAtpgsiNzihc5zquWP6E10MNhN7oQzIqTyD2WCFE0ckAAsaauyCXbVncOCwfrskIYZa5GIl4iBNGkuSdwMORu4dyHmn2hW5v4Q72gjvMRK2xjjOJgpDbosIo1N4kJmu8BYcEfKBKT2YWaS7Mf3D3wEllDnSTwj2mDav7jsyrmSHG4t+EcTbMi3yQ3VPu1MyKzLbffxaAN0pIXRTORJBOXWWbQidgxtjtxjYl7tfz0r9McSCq1/Lf17/2k5Bv+9eOVJ6IQQDyZae6tF/1HaGu/JX2WlTqo4cLh9jLiq385sak7VoKhlC9GX0f9bRaS7xpW3ciqIlbM+AR2oW+HzIaOKOWLPVkP7Is2TKeqxOjFazV6kTp9PtnDh9QpUcsKTO8K3nkT2bHoysnleYsMGWhXc/AMY47GB18Z9j/dg8eMBa6RnpRkirzpGlVSVQPRuf8nc/TqrxDH2JHLGLm3azW7crudDKnT+KSJ2//wGXcOAkCmVuZHN0cmVhbQplbmRvYmoKMjggMCBvYmoKPDwgL0xlbmd0aCA3NCAvRmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0KeJwztTBWMFAwMVTQNTZVMDUyUTA3tFBIMeQyMoYI5XIZmhiBWTlcJiYmCmYmFiCWIYIB0pDDBdMKYZmB1cPMyOHK4EoDABaKFC4KZW5kc3RyZWFtCmVuZG9iagoyOSAwIG9iago8PCAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAvRm9ybSAvQkJveCBbIC00NSAtMjg3IDEwMDAgODM4IF0gL0xlbmd0aCAxMTMKL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCnicTc5LDoAwCATQPafoBUzkV+qFjAu8/1ao0bJpXjIdAFB7Y+N2Q8pUm4PRUdQHhkioSA+bKVbR+NJfIpxpvEu5zeHb63DBiLm8Y9yQIsqJWJCZ/7+y0cXahqxRSb4TZV9AmWcxF82Cr24OOh/6cTHLCmVuZHN0cmVhbQplbmRvYmoKMzAgMCBvYmoKPDwgL1R5cGUgL1hPYmplY3QgL1N1YnR5cGUgL0Zvcm0gL0JCb3ggWyAtNDUgLTI4NyAxMDAwIDgzOCBdIC9MZW5ndGggNDU2Ci9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4nE1TSXIEMQi79yv4QKpsVvs9qUrl0Pn/NRLuSeaEpgEhgefKuaRC5eciytpyX1r+hpi9r1fdfX1ftabkDPQQhRu+zjneELP3X133jBLTxR6iAbahohu120VL5fPKFaLB2chYSQKrGjOWomODzWTuklgpcxUyEVtm4YsW4hDfU2YuZIiyMHzVG/igHP2PnXBI+QPsvi9Lbz4zfKmE4sDEBK/WggboCWpaULoelaqjdSsc0sfc+3E24ZNeyUDvHZUqGwUyUGuYpwMRlWCbUxyeFc5cMcu3uM9WAJ+cjk041Jrhd3EbliqOLTpYHCzu2ZHbGI1Cd1cEK7snsH+yJLZB1sQVz5zEDjg512gluV/aahy1fct4Yvv5xkvZwNUvCsh4teMx8TIsm3k4+lU42xYiJthmJhKKB98SdI5zV5/cbuACjldI1U6tHh3hDXkiwy5ZwdudHnNtFlNvVpvzmcPdcbKu1UoU+GjTOmq1rNV31OoMEN5zV8ABe3T35cFyflVfnHMUKqAAkzVCqET9aFPnm6BatWylat5+GOEHDonomBXcwenhVsjCLZGVeztz4vkX5aOLuz7aevv42teA+td9eKuvX32XwDoKZW5kc3RyZWFtCmVuZG9iagoxNiAwIG9iago8PCAvVHlwZSAvRm9udCAvQmFzZUZvbnQgL0ZMUkJQTytOYW51bUJhcnVuR290aGljIC9GaXJzdENoYXIgMAovTGFzdENoYXIgMjU1IC9Gb250RGVzY3JpcHRvciAxNSAwIFIgL1N1YnR5cGUgL1R5cGUzCi9OYW1lIC9GTFJCUE8rTmFudW1CYXJ1bkdvdGhpYyAvRm9udEJCb3ggWyAtNDUgLTI4NyAxMDAwIDgzOCBdCi9Gb250TWF0cml4IFsgMC4wMDEgMCAwIDAuMDAxIDAgMCBdIC9DaGFyUHJvY3MgMTcgMCBSCi9FbmNvZGluZyA8PCAvVHlwZSAvRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsgMzIgL2NpZDEgNDggL2NpZDE3IC9jaWQxOCAvY2lkMTkgL2NpZDIwIC9jaWQyMSAvY2lkMjIgL2NpZDIzIC9jaWQyNCBdCj4+Ci9XaWR0aHMgMTQgMCBSID4+CmVuZG9iagoxNSAwIG9iago8PCAvVHlwZSAvRm9udERlc2NyaXB0b3IgL0ZvbnROYW1lIC9GTFJCUE8rTmFudW1CYXJ1bkdvdGhpYyAvRmxhZ3MgMzIKL0ZvbnRCQm94IFsgLTQ1IC0yODcgMTAwMCA4MzggXSAvQXNjZW50IDg1MCAvRGVzY2VudCAtMjk5IC9DYXBIZWlnaHQgMAovWEhlaWdodCAwIC9JdGFsaWNBbmdsZSAwIC9TdGVtViAwIC9NYXhXaWR0aCAxMDUyID4+CmVuZG9iagoxNCAwIG9iagpbIDg5MiAyMjQgODkyIDIyNCAyMjQgMjI0IDIyNCAyMjQgMjI0IDg5MiA4OTIgMjI0IDIyNCA4OTIgMjI0IDIyNCAyMjQgMjI0CjIyNCAyMjQgMjI0IDIyNCAyMjQgMjI0IDIyNCAyMjQgMjI0IDIyNCAyMjQgMjI0IDIyNCAyMjQgMjI0IDQ0NiAyOTcgNTgzIDU4Mwo4OTIgODkyIDI5NyA0NDYgNDQ2IDQ0NiA1ODMgMjk3IDU4MyAyOTcgNDQ2IDU4MyA1ODMgNTgzIDU4MyA1ODMgNTgzIDU4MyA1ODMKNTgzIDU4MyAyOTcgMjk3IDQ0NiA1ODMgNDQ2IDY2OSAxMDUyIDY0NCA2MjcgNjM5IDcyMSA1OTYgNTU0IDcxMCA3MTggMjQ3CjQxMCA2MjYgNTI5IDg4NCA3MTAgNzUyIDU4NiA3NTIgNjEwIDU5MiA2MjEgNjk2IDYzNSA5NjEgNjE3IDYxMSA1OTQgNDQ2IDk2MQo0NDYgNDM0IDQ0NiAyOTcgNTYwIDU4OCA0OTAgNTg4IDU1OSAzNDAgNTg4IDU5MiAyNDQgMzAxIDUzMCAyNDQgODkyIDU5MiA1NzcKNTg4IDU4OCAzODMgNDc1IDM1NyA1OTIgNTMwIDc4OCA1MjggNTMwIDQ3MyA0NDYgNDQ2IDQ0NiA2NjkgMjI0IDg5MiAyMjQgMjI0CjIyNCAyMjQgODkyIDg5MiA4OTIgMjI0IDg5MiAyMjQgODkyIDg5MiAyMjQgMjI0IDIyNCAyMjQgMzAzIDMwMyA0NDYgNDQ2IDg5Mgo4OTIgODkyIDg5MiA4OTIgMjI0IDg5MiA4OTIgMjI0IDIyNCAyMjQgMjk3IDg5MiA4OTIgODkyIDg5MiA4OTIgMjI0IDQ0NiA4OTIKODkyIDg5MiA4OTIgODkyIDg5MiA4OTIgMjI0IDQ0NiA4OTIgNDQ2IDQ0NiA4OTIgMjI0IDg5MiA0NDYgNDQ2IDQ0NiA4OTIgODkyCjg5MiA4OTIgODkyIDg5MiAyMjQgMjI0IDIyNCAyMjQgMjI0IDIyNCA4OTIgMjI0IDIyNCAyMjQgMjI0IDIyNCAyMjQgMjI0IDIyNAoyMjQgODkyIDIyNCAyMjQgMjI0IDIyNCAyMjQgMjI0IDg5MiA4OTIgMjI0IDIyNCAyMjQgMjI0IDIyNCA4OTIgODkyIDIyNCAyMjQKMjI0IDIyNCAyMjQgMjI0IDg5MiAyMjQgMjI0IDIyNCAyMjQgMjI0IDIyNCAyMjQgMjI0IDIyNCA4OTIgMjI0IDIyNCAyMjQgMjI0CjIyNCAyMjQgODkyIDg5MiAyMjQgMjI0IDIyNCAyMjQgMjI0IDg5MiAyMjQgXQplbmRvYmoKMTcgMCBvYmoKPDwgL2NpZDEgMTggMCBSIC9jaWQxNyAxOSAwIFIgL2NpZDE4IDIwIDAgUiAvY2lkMTkgMjEgMCBSIC9jaWQyMCAyMiAwIFIKL2NpZDIxIDI0IDAgUiAvY2lkMjIgMjUgMCBSIC9jaWQyMyAyNyAwIFIgL2NpZDI0IDI4IDAgUiA+PgplbmRvYmoKMyAwIG9iago8PCAvRjEgMTYgMCBSID4+CmVuZG9iago0IDAgb2JqCjw8IC9BMSA8PCAvVHlwZSAvRXh0R1N0YXRlIC9DQSAwIC9jYSAxID4+Ci9BMiA8PCAvVHlwZSAvRXh0R1N0YXRlIC9DQSAxIC9jYSAxID4+ID4+CmVuZG9iago1IDAgb2JqCjw8ID4+CmVuZG9iago2IDAgb2JqCjw8ID4+CmVuZG9iago3IDAgb2JqCjw8IC9JMSAxMyAwIFIgL0YxLU5hbnVtQmFydW5Hb3RoaWMtY2lkMjAxOSAyMyAwIFIKL0YxLU5hbnVtQmFydW5Hb3RoaWMtY2lkMjIzOSAyNiAwIFIgL0YxLU5hbnVtQmFydW5Hb3RoaWMtY2lkMzE2OCAyOSAwIFIKL0YxLU5hbnVtQmFydW5Hb3RoaWMtY2lkMzM0NCAzMCAwIFIgPj4KZW5kb2JqCjEzIDAgb2JqCjw8IC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9JbWFnZSAvV2lkdGggMTI0MSAvSGVpZ2h0IDE2Ci9Db2xvclNwYWNlIFsgL0luZGV4ZWQgL0RldmljZVJHQiAxICj///8AAAApIF0gL0JpdHNQZXJDb21wb25lbnQgMQovRmlsdGVyIC9GbGF0ZURlY29kZQovRGVjb2RlUGFybXMgPDwgL1ByZWRpY3RvciAxMCAvQ29sb3JzIDEgL0NvbHVtbnMgMTI0MSAvQml0c1BlckNvbXBvbmVudCAxID4+Ci9MZW5ndGggMzEgMCBSID4+CnN0cmVhbQp4nO3OwQ2AIBQD0BoPHB2BUVzN0RzFETx6MJT+aCBq4gTtCegHHvjOjswNcz8oAMbPGLkgonrgqUXigStxH3ohBkjVBT2Tysz13j3q1H5Hq40zzjjjjDPOOOOM+8dVCCvezQplbmRzdHJlYW0KZW5kb2JqCjMxIDAgb2JqCjk4CmVuZG9iagoyIDAgb2JqCjw8IC9UeXBlIC9QYWdlcyAvS2lkcyBbIDExIDAgUiBdIC9Db3VudCAxID4+CmVuZG9iagozMiAwIG9iago8PCAvQ3JlYXRvciAoTWF0cGxvdGxpYiB2My4xMC4wLCBodHRwczovL21hdHBsb3RsaWIub3JnKQovUHJvZHVjZXIgKE1hdHBsb3RsaWIgcGRmIGJhY2tlbmQgdjMuMTAuMCkKL0NyZWF0aW9uRGF0ZSAoRDoyMDI1MDMxNDA2MzMzN1opID4+CmVuZG9iagp4cmVmCjAgMzMKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDAwMDE2IDAwMDAwIG4gCjAwMDAwMDgzMzkgMDAwMDAgbiAKMDAwMDAwNzU5OSAwMDAwMCBuIAowMDAwMDA3NjMxIDAwMDAwIG4gCjAwMDAwMDc3MzAgMDAwMDAgbiAKMDAwMDAwNzc1MSAwMDAwMCBuIAowMDAwMDA3NzcyIDAwMDAwIG4gCjAwMDAwMDAwNjUgMDAwMDAgbiAKMDAwMDAwMDM0MiAwMDAwMCBuIAowMDAwMDAxMDU0IDAwMDAwIG4gCjAwMDAwMDAyMDggMDAwMDAgbiAKMDAwMDAwMTAzNCAwMDAwMCBuIAowMDAwMDA3OTQ4IDAwMDAwIG4gCjAwMDAwMDY0MDcgMDAwMDAgbiAKMDAwMDAwNjE5NyAwMDAwMCBuIAowMDAwMDA1ODEzIDAwMDAwIG4gCjAwMDAwMDc0NTIgMDAwMDAgbiAKMDAwMDAwMTA3NCAwMDAwMCBuIAowMDAwMDAxMTY0IDAwMDAwIG4gCjAwMDAwMDE0NTggMDAwMDAgbiAKMDAwMDAwMTY2NyAwMDAwMCBuIAowMDAwMDAyMDEyIDAwMDAwIG4gCjAwMDAwMDI1OTkgMDAwMDAgbiAKMDAwMDAwMjg1MSAwMDAwMCBuIAowMDAwMDAzMDMyIDAwMDAwIG4gCjAwMDAwMDM0NzkgMDAwMDAgbiAKMDAwMDAwNDE4NCAwMDAwMCBuIAowMDAwMDA0ODM2IDAwMDAwIG4gCjAwMDAwMDQ5ODIgMDAwMDAgbiAKMDAwMDAwNTIyNiAwMDAwMCBuIAowMDAwMDA4MzIwIDAwMDAwIG4gCjAwMDAwMDgzOTkgMDAwMDAgbiAKdHJhaWxlcgo8PCAvU2l6ZSAzMyAvUm9vdCAxIDAgUiAvSW5mbyAzMiAwIFIgPj4Kc3RhcnR4cmVmCjg1NTIKJSVFT0YK\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "mask = select.get_support()\n",
        "print(mask)\n",
        "# True는 검은색, False는 흰색으로 마스킹합니다\n",
        "plt.matshow(mask.reshape(1, -1), cmap='gray_r')\n",
        "plt.xlabel(\"특성 번호\")\n",
        "plt.yticks([0])\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "id": "tep5JmwXIw4Q",
        "outputId": "6beed2c6-d527-4487-d007-78e3c1e3e13a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "전체 특성을 사용한 점수: 0.951\n",
            "선택된 일부 특성을 사용한 점수: 0.933\n"
          ]
        }
      ],
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "\n",
        "# 테스트 데이터 변환\n",
        "X_test_selected = select.transform(X_test)\n",
        "\n",
        "lr = LogisticRegression(max_iter=5000)\n",
        "lr.fit(X_train, y_train)\n",
        "print(\"전체 특성을 사용한 점수: {:.3f}\".format(lr.score(X_test, y_test)))\n",
        "lr.fit(X_train_selected, y_train)\n",
        "print(\"선택된 일부 특성을 사용한 점수: {:.3f}\".format(\n",
        "        lr.score(X_test_selected, y_test)))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qyDSp8FFIw4R"
      },
      "source": [
        "### 4.7.2 모델 기반 특성 선택"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "id": "QI8NWBcVIw4U"
      },
      "outputs": [],
      "source": [
        "from sklearn.feature_selection import SelectFromModel\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "select = SelectFromModel(\n",
        "    RandomForestClassifier(n_estimators=100, random_state=42),\n",
        "    threshold=\"median\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "id": "yXkAP4U-Iw4U",
        "outputId": "3988f30c-7040-4282-a29e-e8e8f3a581c8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "X_train.shape: (284, 80)\n",
            "X_train_l1.shape: (284, 40)\n"
          ]
        }
      ],
      "source": [
        "select.fit(X_train, y_train)\n",
        "X_train_l1 = select.transform(X_train)\n",
        "print(\"X_train.shape:\", X_train.shape)\n",
        "print(\"X_train_l1.shape:\", X_train_l1.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {
        "id": "dDXKPekBIw4V",
        "outputId": "922c1340-fce9-4190-8561-3a48802eeec7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 84
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x200 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "mask = select.get_support()\n",
        "# True는 검은색, False는 흰색으로 마스킹합니다\n",
        "plt.matshow(mask.reshape(1, -1), cmap='gray_r')\n",
        "plt.xlabel(\"특성 번호\")\n",
        "plt.yticks([0])\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "metadata": {
        "id": "ccv4m3eLIw4W",
        "outputId": "b4fd24e9-e8c4-4ae6-dda1-5e88a6e0566e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 점수: 0.947\n"
          ]
        }
      ],
      "source": [
        "X_test_l1 = select.transform(X_test)\n",
        "score = LogisticRegression(max_iter=5000).fit(X_train_l1, y_train).score(X_test_l1, y_test)\n",
        "print(\"테스트 점수: {:.3f}\".format(score))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VLA7xrELIw4W"
      },
      "source": [
        "### 4.7.3 반복적 특성 선택"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "id": "gHxjaECrIw4X",
        "outputId": "b86e8ffc-da93-47f2-998b-4dc9287302d3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 84
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x200 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from sklearn.feature_selection import RFE\n",
        "select = RFE(RandomForestClassifier(n_estimators=100, random_state=42),\n",
        "             n_features_to_select=40)\n",
        "\n",
        "select.fit(X_train, y_train)\n",
        "# 선택된 특성을 표시합니다\n",
        "mask = select.get_support()\n",
        "plt.matshow(mask.reshape(1, -1), cmap='gray_r')\n",
        "plt.xlabel(\"특성 번호\")\n",
        "plt.yticks([0])\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "metadata": {
        "id": "8TEMQ_KQIw4X",
        "outputId": "8f26cb98-3b14-4df7-d867-736e4d3f9cd3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 점수: 0.940\n"
          ]
        }
      ],
      "source": [
        "X_train_rfe = select.transform(X_train)\n",
        "X_test_rfe = select.transform(X_test)\n",
        "\n",
        "score = LogisticRegression(max_iter=5000).fit(X_train_rfe, y_train).score(X_test_rfe, y_test)\n",
        "print(\"테스트 점수: {:.3f}\".format(score))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
        "id": "5rjE2KynIw4Y",
        "outputId": "746734bf-bfd7-4ead-9155-9080d0b98e17",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 점수: 0.951\n"
          ]
        }
      ],
      "source": [
        "print(\"테스트 점수: {:.3f}\".format(select.score(X_test, y_test)))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ooyjwkd1Iw4Y"
      },
      "source": [
        "## 4.8 전문가 지식 활용"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "id": "863nR62sIw4Y"
      },
      "outputs": [],
      "source": [
        "citibike = mglearn.datasets.load_citibike()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "id": "tv6q4MuqIw4Z",
        "outputId": "f111bbc6-d666-4fad-be74-1f591670d1f8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "시티 바이크 데이터:\n",
            " starttime\n",
            "2015-08-01 00:00:00     3\n",
            "2015-08-01 03:00:00     0\n",
            "2015-08-01 06:00:00     9\n",
            "2015-08-01 09:00:00    41\n",
            "2015-08-01 12:00:00    39\n",
            "Freq: 3h, Name: one, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(\"시티 바이크 데이터:\\n\", citibike.head())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 61,
      "metadata": {
        "id": "Qu3xW_H5Iw4Z",
        "outputId": "61118d58-ba83-41fd-d02e-375bd15066b7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 355
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x300 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(10, 3))\n",
        "xticks = pd.date_range(start=citibike.index.min(), end=citibike.index.max(),\n",
        "                       freq='D')\n",
        "week = [\"일\", \"월\", \"화\",\"수\", \"목\", \"금\", \"토\"]\n",
        "xticks_name = [week[int(w)]+d for w, d in zip(xticks.strftime(\"%w\"),\n",
        "                                              xticks.strftime(\" %m-%d\"))]\n",
        "plt.xticks(xticks, xticks_name, rotation=90, ha=\"left\")\n",
        "plt.plot(citibike, linewidth=1)\n",
        "plt.xlabel(\"날짜\")\n",
        "plt.ylabel(\"대여횟수\")\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "id": "2NSnvGpyIw4a"
      },
      "outputs": [],
      "source": [
        "# 타깃값 추출 (대여 횟수)\n",
        "y = citibike.values\n",
        "# 판다스 1.3.0에서 datetime을 astype()으로 정수로 바꾸는 것이 deprecated되었고 향후 삭제될 예정입니다.\n",
        "# 대신 view()를 사용합니다.\n",
        "# POSIX 시간을 10**9로 나누어 변경\n",
        "X = citibike.index.view(\"int64\").reshape(-1, 1) // 10**9"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "id": "TZQ3WR0cIw4c"
      },
      "outputs": [],
      "source": [
        "# 처음 184개 데이터 포인트를 훈련 세트로 사용하고 나머지는 테스트 세트로 사용합니다\n",
        "n_train = 184\n",
        "\n",
        "# 주어진 특성을 사용하여 평가하고 그래프를 만듭니다\n",
        "def eval_on_features(features, target, regressor):\n",
        "    # 훈련 세트와 테스트 세트로 나눕니다\n",
        "    X_train, X_test = features[:n_train], features[n_train:]\n",
        "    # 타깃값도 나눕니다\n",
        "    y_train, y_test = target[:n_train], target[n_train:]\n",
        "    regressor.fit(X_train, y_train)\n",
        "    print(\"테스트 세트 R^2: {:.2f}\".format(regressor.score(X_test, y_test)))\n",
        "    y_pred = regressor.predict(X_test)\n",
        "    y_pred_train = regressor.predict(X_train)\n",
        "    plt.figure(figsize=(10, 3))\n",
        "\n",
        "    plt.xticks(range(0, len(X), 8), xticks_name, rotation=90, ha=\"left\")\n",
        "\n",
        "    plt.plot(range(n_train), y_train, label=\"훈련\")\n",
        "    plt.plot(range(n_train, len(y_test) + n_train), y_test, '-', label=\"테스트\")\n",
        "    plt.plot(range(n_train), y_pred_train, '--', label=\"훈련 예측\")\n",
        "\n",
        "    plt.plot(range(n_train, len(y_test) + n_train), y_pred, '--',\n",
        "             label=\"테스트 예측\")\n",
        "    plt.legend(loc=(1.01, 0))\n",
        "    plt.xlabel(\"날짜\")\n",
        "    plt.ylabel(\"대여횟수\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "scrolled": true,
        "id": "iFSwegq0Iw4d",
        "outputId": "4be2e875-1398-4879-a25e-ffd254edab36",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 세트 R^2: -0.04\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x300 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "regressor = RandomForestRegressor(n_estimators=100, random_state=0)\n",
        "eval_on_features(X, y, regressor)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "scrolled": true,
        "id": "J2cepmuhIw4d",
        "outputId": "796001dc-f49a-4c6d-be33-26e3296bb87e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 세트 R^2: 0.60\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x300 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "X_hour = citibike.index.hour.values.reshape(-1, 1)\n",
        "eval_on_features(X_hour, y, regressor)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 66,
      "metadata": {
        "id": "NXplnn9VIw4j",
        "outputId": "9ee21e9f-41d8-4246-dbaf-70322ad73150",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 세트 R^2: 0.84\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x300 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "X_hour_week = np.hstack([citibike.index.dayofweek.values.reshape(-1, 1),\n",
        "                         citibike.index.hour.values.reshape(-1, 1)])\n",
        "eval_on_features(X_hour_week, y, regressor)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {
        "id": "GVmPBh6JIw4k",
        "outputId": "9ccf83c5-165a-4faa-8a61-cfeedd3d5cb2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 세트 R^2: 0.13\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x300 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "eval_on_features(X_hour_week, y, LinearRegression())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-ArM_JlOIw4m"
      },
      "source": [
        "scikit-learn 0.22 버전에서 OneHotEncoder 클래스가 정수 카테고리를 인식하는 방식이 변경됩니다. 이전에는 훈련 데이터에 나타난 0~최댓값 사이 범위를 카테고리로 인식하여 원-핫 인코딩하지만 0.22 버전부터는 고유한 정수 값을 카테고리로 사용합니다. 0.20 버전부터 정수형 데이터를 변환할 때 이와 관련된 경고가 출력됩니다."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {
        "id": "CkwXDRvqIw4n"
      },
      "outputs": [],
      "source": [
        "enc = OneHotEncoder()\n",
        "X_hour_week_onehot = enc.fit_transform(X_hour_week).toarray()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {
        "scrolled": true,
        "id": "Lw0bQjTIIw4p",
        "outputId": "c27b8f63-285b-485c-b18d-0fec758aa9c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 372
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 세트 R^2: 0.62\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x300 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "eval_on_features(X_hour_week_onehot, y, Ridge())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {
        "id": "M2a4O14-Iw4p",
        "outputId": "3ea52559-258f-4821-dba8-5d85dd6ac824",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "테스트 세트 R^2: 0.85\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x300 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "poly_transformer = PolynomialFeatures(degree=2, interaction_only=True,\n",
        "                                      include_bias=False)\n",
        "X_hour_week_onehot_poly = poly_transformer.fit_transform(X_hour_week_onehot)\n",
        "lr = Ridge()\n",
        "eval_on_features(X_hour_week_onehot_poly, y, lr)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "metadata": {
        "id": "kc25iLV3Iw4p"
      },
      "outputs": [],
      "source": [
        "hour = [\"%02d:00\" % i for i in range(0, 24, 3)]\n",
        "day = [\"월\", \"화\", \"수\", \"목\", \"금\", \"토\", \"일\"]\n",
        "features =  day + hour"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 72,
      "metadata": {
        "scrolled": true,
        "id": "WBA4DOhsIw4q"
      },
      "outputs": [],
      "source": [
        "# get_feature_names() 메서드가 1.0에서 deprecated 되었고 1.2 버전에서 삭제될 예정입니다.\n",
        "# 대신 get_feature_names_out()을 사용합니다.\n",
        "features_poly = poly_transformer.get_feature_names_out(features)\n",
        "features_nonzero = np.array(features_poly)[lr.coef_ != 0]\n",
        "coef_nonzero = lr.coef_[lr.coef_ != 0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {
        "id": "tZ42cCXbIw4q",
        "outputId": "1eaa3735-177d-4844-e73a-cf15f2a00e8f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 230
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x200 with 1 Axes>"
            ],
            "image/png": 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\n",
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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(15, 2))\n",
        "plt.plot(coef_nonzero, 'o')\n",
        "plt.xticks(np.arange(len(coef_nonzero)), features_nonzero, rotation=90)\n",
        "plt.xlabel(\"특성 이름\")\n",
        "plt.ylabel(\"계수 크기\")\n",
        "plt.show() # 책에는 없음"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7soHAtBIIw4r"
      },
      "source": [
        "## 4.9 요약 및 정리"
      ]
    }
  ],
  "metadata": {
    "anaconda-cloud": {},
    "environment": {
      "kernel": "python3",
      "name": "common-cpu.m102",
      "type": "gcloud",
      "uri": "gcr.io/deeplearning-platform-release/base-cpu:m102"
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.12"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}