구내식당_식수인원_예측.ipynb

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      "name": "구내식당_식수인원_예측",
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    {
      "cell_type": "markdown",
      "source": [
        "# 구내식당 식수 인원 예측 AI 경진대회"
      ],
      "metadata": {
        "id": "-bElbL3RQTd0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 1. 데이터 불러오기"
      ],
      "metadata": {
        "id": "sXnnUsvfQ55d"
      }
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      "metadata": {
        "id": "gaZdZdudPmDu"
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      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "from datetime import datetime, timedelta\n",
        "from xgboost import XGBRegressor"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "path = \"/content/drive/MyDrive/Dacon/튜토리얼/data/구내식당_식사인원_예측_data/\""
      ],
      "metadata": {
        "id": "auNhRe57QaVG"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train = pd.read_csv(path + \"train.csv\")\n",
        "test = pd.read_csv(path + \"test.csv\")\n",
        "submission = pd.read_csv(path + \"sample_submission.csv\")"
      ],
      "metadata": {
        "id": "EFYUBzbeQrAw"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 2. 데이터 살펴보기"
      ],
      "metadata": {
        "id": "UPma6XOyQ8tg"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "데이터 설명\n",
        "\n",
        " - 일자 --> date\n",
        " - 요일 --> dow\n",
        " - 본사정원수 --> employees\n",
        " - 본사휴가자수 --> vacation\n",
        " - 본사출장자수 --> bustrip\n",
        " - 시간외근무명령서승인건수 --> overtime\n",
        " - 현본사소속재택근무자수 --> home\n",
        " - 조식메뉴 --> breakfast\n",
        " - 중식메뉴 --> lunch\n",
        " - 석식메뉴 --> dinner\n",
        " - **중식계  (타깃)** --> target_lunch\n",
        " - **석식계 (타깃)** --> target_dinner"
      ],
      "metadata": {
        "id": "IdPrhtgTUQED"
      }
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    {
      "cell_type": "code",
      "source": [
        "# 칼럼명 영어로 수정\n",
        "\n",
        "train.columns = ['date', 'dow', 'employees', 'vacation', 'bustrip', 'overtime', 'home', 'break', 'lunch', 'dinner', 'target_lunch', 'target_dinner']\n",
        "\n",
        "test.columns = ['date', 'dow', 'employees', 'vacation', 'bustrip', 'overtime', 'home', 'break', 'lunch', 'dinner']\n",
        "train.head(2)"
      ],
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        "id": "sLCLCEus6_nm",
        "outputId": "a3dc327d-55f0-4cd7-8c3c-425f44a1f952"
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      "execution_count": 4,
      "outputs": [
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              "      <td>쌀밥/잡곡밥 (쌀,현미흑미:국내산) 오징어찌개  쇠불고기 (쇠고기:호주산) 계란찜 ...</td>\n",
              "      <td>쌀밥/잡곡밥 (쌀,현미흑미:국내산) 육개장  자반고등어구이  두부조림  건파래무침 ...</td>\n",
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              "      <td>50</td>\n",
              "      <td>173</td>\n",
              "      <td>319</td>\n",
              "      <td>0.0</td>\n",
              "      <td>모닝롤/단호박샌드  우유/두유/주스 계란후라이  팥죽/쌀밥 (쌀:국내산) 호박젓국찌...</td>\n",
              "      <td>쌀밥/잡곡밥 (쌀,현미흑미:국내산) 김치찌개  가자미튀김  모둠소세지구이  마늘쫑무...</td>\n",
              "      <td>콩나물밥*양념장 (쌀,현미흑미:국내산) 어묵국  유산슬 (쇠고기:호주산) 아삭고추무...</td>\n",
              "      <td>867.0</td>\n",
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              "         date dow  ...  target_lunch  target_dinner\n",
              "0  2016-02-01   월  ...        1039.0          331.0\n",
              "1  2016-02-02   화  ...         867.0          560.0\n",
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              "      <th>1</th>\n",
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              "      <td>2983</td>\n",
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              "         date  ...                                         dinner\n",
              "0  2021-01-27  ...  흑미밥 얼큰순두부찌개 쇠고기우엉볶음 버섯햄볶음 (New)아삭이고추무절임 포기김치 \n",
              "1  2021-01-28  ...            충무김밥 우동국물 오징어무침 꽃맛살샐러드 얼갈이쌈장무침 석박지 \n",
              "\n",
              "[2 rows x 10 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['date'] = pd.to_datetime(train['date'])\n",
        "test['date'] = pd.to_datetime(test['date'])"
      ],
      "metadata": {
        "id": "cKDsero4ihs4"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 각 요일을 1,2,3,4,5로 mapping 하기\n",
        "train['dow'] = train['date'].dt.weekday + 1\n",
        "test['dow'] = test['date'].dt.weekday + 1"
      ],
      "metadata": {
        "id": "CTDJWIAKctKJ"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "휴가자, 출장자, 재택근무자 뺀 인원이 구내식당을 사용할 수 있는 인원이므로 모두 빼주자."
      ],
      "metadata": {
        "id": "HepbhsmA36YN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "train['employees'] = train['employees'] - train['vacation'] - train['bustrip'] - train['home']\n",
        "test['employees'] = test['employees'] - test['vacation'] - test['bustrip'] - test['home']\n",
        "\n",
        "drops = ['vacation', 'bustrip', 'home']\n",
        "train.drop(drops, axis=1, inplace=True)\n",
        "test.drop(drops, axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "Av2s2Je0AVLl"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 조식메뉴는 불필요하다고 생각하여 제거\n",
        "\n",
        "train.drop(['break'], axis=1, inplace=True)\n",
        "test.drop(['break'], axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "BmRXSBrqAxad"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 190
        },
        "id": "kJLJfA474XWo",
        "outputId": "81d78f5a-75e5-40e1-e86d-a0329da6853b"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-39dbb505-ee5a-4fbf-9892-0a957a29b0b9\">\n",
              "    <div 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>date</th>\n",
              "      <th>dow</th>\n",
              "      <th>employees</th>\n",
              "      <th>overtime</th>\n",
              "      <th>lunch</th>\n",
              "      <th>dinner</th>\n",
              "      <th>target_lunch</th>\n",
              "      <th>target_dinner</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2016-02-01</td>\n",
              "      <td>1</td>\n",
              "      <td>2401.0</td>\n",
              "      <td>238</td>\n",
              "      <td>쌀밥/잡곡밥 (쌀,현미흑미:국내산) 오징어찌개  쇠불고기 (쇠고기:호주산) 계란찜 ...</td>\n",
              "      <td>쌀밥/잡곡밥 (쌀,현미흑미:국내산) 육개장  자반고등어구이  두부조림  건파래무침 ...</td>\n",
              "      <td>1039.0</td>\n",
              "      <td>331.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2016-02-02</td>\n",
              "      <td>2</td>\n",
              "      <td>2378.0</td>\n",
              "      <td>319</td>\n",
              "      <td>쌀밥/잡곡밥 (쌀,현미흑미:국내산) 김치찌개  가자미튀김  모둠소세지구이  마늘쫑무...</td>\n",
              "      <td>콩나물밥*양념장 (쌀,현미흑미:국내산) 어묵국  유산슬 (쇠고기:호주산) 아삭고추무...</td>\n",
              "      <td>867.0</td>\n",
              "      <td>560.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-39dbb505-ee5a-4fbf-9892-0a957a29b0b9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-39dbb505-ee5a-4fbf-9892-0a957a29b0b9 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-39dbb505-ee5a-4fbf-9892-0a957a29b0b9');\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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "        date  dow  ...  target_lunch  target_dinner\n",
              "0 2016-02-01    1  ...        1039.0          331.0\n",
              "1 2016-02-02    2  ...         867.0          560.0\n",
              "\n",
              "[2 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 시계열 데이터 시각화\n",
        "train[train['date'].dt.year==2020].plot(x='date', y=['target_lunch', 'target_dinner'], figsize=(30,5), grid=True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 271
        },
        "id": "4ERqFr4b4k4P",
        "outputId": "1c2f1c69-33d8-435f-bf3d-64c65d65cf69"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 2160x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train[train['date'].dt.year==2018].plot(x='date', y=['target_lunch', 'target_dinner'], figsize=(30,5), grid=True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 271
        },
        "id": "sQKfpJDlKSFO",
        "outputId": "9dfd6002-ff92-42e2-9506-7e3676753e3b"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 2160x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 요일별 target값\n",
        "plt.bar(train['dow'], train['target_lunch'], label='lunch')\n",
        "plt.bar(train['dow'], train['target_dinner'], label='dinner')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "o_qfoo0BCbxT",
        "outputId": "cad70a76-8de6-4cf9-d169-b4c7e53f436d"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 월, 일 칼럼 추가\n",
        "train['month'] = train['date'].dt.month\n",
        "test['month'] = test['date'].dt.month\n",
        "\n",
        "train['day'] = train['date'].dt.day\n",
        "test['day'] = test['date'].dt.day"
      ],
      "metadata": {
        "id": "3fidtvsgiiPI"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train.drop('date', axis=1, inplace=True)\n",
        "test.drop('date', axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "7iC35JGcLqdC"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(nrows = 1, ncols = 2, figsize = (18, 4))\n",
        "sns.distplot(train[\"target_lunch\"], ax = ax[0], color = 'orange', kde = False, rug = True)\n",
        "sns.distplot(train[\"target_dinner\"], ax = ax[1], color = 'green', kde = False, rug = True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "rle9w19dmWVR",
        "outputId": "1f5cc7a9-ed67-43b9-e08a-d9e8f5091ad8"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2103: FutureWarning: The `axis` variable is no longer used and will be removed. Instead, assign variables directly to `x` or `y`.\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2103: FutureWarning: The `axis` variable is no longer used and will be removed. Instead, assign variables directly to `x` or `y`.\n",
            "  warnings.warn(msg, FutureWarning)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "석식계가 0인 데이터가 좀 있음.\n",
        "\n",
        "오류로 보이기 때문에 살펴보자.\n",
        "\n",
        "중식계 예측 모델과 석식계 예측 모델을 따로 하는 것이 좋을 것 같다."
      ],
      "metadata": {
        "id": "uWJBZiuJ8mzZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "len(train[train['target_dinner']==0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ji-SXKIK6aPF",
        "outputId": "f31fd426-9547-43b3-bb75-ad72d70799e5"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "43"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train[train['target_dinner']==0][39:44]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 174
        },
        "id": "n77hBpqOAFiX",
        "outputId": "f926af9d-6dba-4f63-beb0-88c0114e15fd"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-c6356ca3-99a0-4897-bdbb-471618fe6cde\">\n",
              "    <div 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>dow</th>\n",
              "      <th>employees</th>\n",
              "      <th>overtime</th>\n",
              "      <th>lunch</th>\n",
              "      <th>dinner</th>\n",
              "      <th>target_lunch</th>\n",
              "      <th>target_dinner</th>\n",
              "      <th>month</th>\n",
              "      <th>day</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>955</th>\n",
              "      <td>2</td>\n",
              "      <td>2253.0</td>\n",
              "      <td>22</td>\n",
              "      <td>쌀밥/잡곡밥 (쌀:국내산) 배추된장국  닭볶음탕 (닭:국내산) 부추깻잎전  양배추쌈...</td>\n",
              "      <td>*</td>\n",
              "      <td>349.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>12</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>973</th>\n",
              "      <td>3</td>\n",
              "      <td>2506.0</td>\n",
              "      <td>4</td>\n",
              "      <td>콩나물밥*양념장 (쌀:국내산,소고기:호주) 가쯔오장국  치킨핑거 (닭:국내산) 꽃맛...</td>\n",
              "      <td>자기개발의날</td>\n",
              "      <td>1197.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>993</th>\n",
              "      <td>3</td>\n",
              "      <td>2573.0</td>\n",
              "      <td>4</td>\n",
              "      <td>낙지비빔밥 (쌀:국내,낙지:중국산) 팽이장국  치킨텐더*콘소스D (닭:국내산) 과일...</td>\n",
              "      <td>자기개발의날</td>\n",
              "      <td>1105.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1166</th>\n",
              "      <td>3</td>\n",
              "      <td>2237.0</td>\n",
              "      <td>3</td>\n",
              "      <td>쌀밥/흑미밥/찰현미밥 콩비지김치찌개 해물누룽지탕 탕평채 고추장감자조림 깍두기/수제과...</td>\n",
              "      <td>＜자기 계발의 날＞</td>\n",
              "      <td>1146.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c6356ca3-99a0-4897-bdbb-471618fe6cde')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "    .colab-df-convert {\n",
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              "    .colab-df-convert:hover {\n",
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              "      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-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-c6356ca3-99a0-4897-bdbb-471618fe6cde 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-c6356ca3-99a0-4897-bdbb-471618fe6cde');\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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "      dow  employees  overtime  ... target_dinner month  day\n",
              "955     2     2253.0        22  ...           0.0    12   31\n",
              "973     3     2506.0         4  ...           0.0     1   29\n",
              "993     3     2573.0         4  ...           0.0     2   26\n",
              "1166    3     2237.0         3  ...           0.0    11   25\n",
              "\n",
              "[4 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "train 데이터에 석식메뉴가 없는 경우가 있다.\n",
        "\n"
      ],
      "metadata": {
        "id": "UIqs3KGfADEL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 중식 데이터과 석식 데이터 분리\n",
        "train_lunch = train.copy()\n",
        "train_dinner = train.copy()\n",
        "\n",
        "test_lunch = test.copy()\n",
        "test_dinner = test.copy()\n",
        "\n",
        "train_lunch.drop(['dinner', 'target_dinner'], axis=1, inplace=True)\n",
        "train_dinner.drop(['lunch', 'target_lunch'], axis=1, inplace=True)\n",
        "\n",
        "test_lunch.drop(['dinner'], axis=1, inplace=True)\n",
        "test_dinner.drop(['lunch'], axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "P9ZcJhqI6h1O"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 석식 데이터에서 석식메뉴가 없는 날 삭제\n",
        "drops = train_dinner[train_dinner['target_dinner']==0].index\n",
        "\n",
        "train_dinner.drop(drops, axis=0, inplace=True)\n",
        "train_dinner.reset_index(drop=True, inplace=True)"
      ],
      "metadata": {
        "id": "OMruaJ7UMHXx"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 석식메뉴는 표기안되었지만 target값은 있는 행도 삭제\n",
        "train_dinner.iloc[[565]]"
      ],
      "metadata": {
        "id": "xGeJHeww_Bmv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "outputId": "72e9c25d-cd65-4b50-ef2f-0fa3f004cc11"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-136b60f5-8779-4823-9343-2b8a6b2ed485\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\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>dow</th>\n",
              "      <th>employees</th>\n",
              "      <th>overtime</th>\n",
              "      <th>dinner</th>\n",
              "      <th>target_dinner</th>\n",
              "      <th>month</th>\n",
              "      <th>day</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>565</th>\n",
              "      <td>5</td>\n",
              "      <td>2245.0</td>\n",
              "      <td>50</td>\n",
              "      <td>*</td>\n",
              "      <td>448.0</td>\n",
              "      <td>6</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-136b60f5-8779-4823-9343-2b8a6b2ed485')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
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              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      height: 32px;\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",
              "      fill: #174EA6;\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-136b60f5-8779-4823-9343-2b8a6b2ed485 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-136b60f5-8779-4823-9343-2b8a6b2ed485');\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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     dow  employees  overtime         dinner  target_dinner  month  day\n",
              "565    5     2245.0        50        *                448.0      6   22"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_dinner.drop(565, axis=0, inplace=True)\n",
        "train_dinner.reset_index(drop=True, inplace=True)"
      ],
      "metadata": {
        "id": "ARFR1dhjQ4vd"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# train에서 중식메뉴와 석식메뉴 뽑아내기\n",
        "\n",
        "train_lunch_menu = []\n",
        "for i in range(len(train_lunch)):\n",
        "    tmp = train_lunch.loc[i, 'lunch'].split()\n",
        "\n",
        "    for menu in tmp:\n",
        "        if '(' in menu:\n",
        "            tmp.remove(menu)\n",
        "    train_lunch_menu.append(tmp[:3])\n",
        "\n",
        "train_dinner_menu = []\n",
        "for i in range(len(train_dinner)):\n",
        "    tmp = train_dinner.loc[i, 'dinner'].split()\n",
        "\n",
        "    for menu in tmp:\n",
        "        if '(' in menu:     # 원산지 필요 x\n",
        "            tmp.remove(menu)\n",
        "    train_dinner_menu.append(tmp[:3])"
      ],
      "metadata": {
        "id": "BFvjfdqvmWRL"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "- 밥 -> 국 -> 반찬 순으로 되어있지만, 반찬 중에서 메인 반찬 (3번째 메뉴)에 의해 구내식당에서 식사 여부가 결정될 것이라고 예상해서 3번째 메뉴까지만 뽑아내고 나머지는 버림"
      ],
      "metadata": {
        "id": "C6LpYhy98xAq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# train에 rice, soup, main_menu 칼럼 추가\n",
        "rice = []\n",
        "soup = []\n",
        "main_menu = []\n",
        "\n",
        "for menu in train_lunch_menu:\n",
        "    rice.append(menu[0])\n",
        "    soup.append(menu[1])\n",
        "    main_menu.append(menu[2])\n",
        "\n",
        "train_lunch['rice'] = rice\n",
        "train_lunch['soup'] = soup\n",
        "train_lunch['main_menu'] = main_menu\n",
        "\n",
        "rice = []\n",
        "soup = []\n",
        "main_menu = []\n",
        "\n",
        "for menu in train_dinner_menu:\n",
        "    rice.append(menu[0])\n",
        "    soup.append(menu[1])\n",
        "    main_menu.append(menu[2])\n",
        "\n",
        "train_dinner['rice'] = rice\n",
        "train_dinner['soup'] = soup\n",
        "train_dinner['main_menu'] = main_menu"
      ],
      "metadata": {
        "id": "XttMVava6L1J"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "test에도 전처리 적용"
      ],
      "metadata": {
        "id": "FCiCwjKSfW0I"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# test에서 중식메뉴와 석식메뉴 뽑아내기\n",
        "\n",
        "test_lunch_menu = []\n",
        "for i in range(len(test_lunch)):\n",
        "    tmp = test_lunch.loc[i, 'lunch'].split()\n",
        "\n",
        "    for menu in tmp:\n",
        "        if '(' in menu:\n",
        "            tmp.remove(menu)\n",
        "    test_lunch_menu.append(tmp[:3])\n",
        "\n",
        "test_dinner_menu = []\n",
        "for i in range(len(test_dinner)):\n",
        "    tmp = test_dinner.loc[i, 'dinner'].split()\n",
        "\n",
        "    for menu in tmp:\n",
        "        if '(' in menu:     # 원산지 필요 x\n",
        "            tmp.remove(menu)\n",
        "    test_dinner_menu.append(tmp[:3])"
      ],
      "metadata": {
        "id": "zo5x1jbWe_RM"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# test에 rice, soup, main_menu 칼럼 추가\n",
        "rice = []\n",
        "soup = []\n",
        "main_menu = []\n",
        "\n",
        "for menu in test_lunch_menu:\n",
        "    rice.append(menu[0])\n",
        "    soup.append(menu[1])\n",
        "    main_menu.append(menu[2])\n",
        "\n",
        "test_lunch['rice'] = rice\n",
        "test_lunch['soup'] = soup\n",
        "test_lunch['main_menu'] = main_menu\n",
        "\n",
        "rice = []\n",
        "soup = []\n",
        "main_menu = []\n",
        "\n",
        "for menu in test_dinner_menu:\n",
        "    rice.append(menu[0])\n",
        "    soup.append(menu[1])\n",
        "    main_menu.append(menu[2])\n",
        "\n",
        "test_dinner['rice'] = rice\n",
        "test_dinner['soup'] = soup\n",
        "test_dinner['main_menu'] = main_menu"
      ],
      "metadata": {
        "id": "ciC_4giGoJ1m"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_lunch.drop(['lunch'], axis=1, inplace=True)\n",
        "train_dinner.drop(['dinner'], axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "bmr5XEoG_BkG"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_lunch.drop(['lunch'], axis=1, inplace=True)\n",
        "test_dinner.drop(['dinner'], axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "mqT1HehGf_x7"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_lunch.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YKBwh-OxRH_1",
        "outputId": "cf47396e-8342-4f46-cd1e-66ccf760f519"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1205 entries, 0 to 1204\n",
            "Data columns (total 9 columns):\n",
            " #   Column        Non-Null Count  Dtype  \n",
            "---  ------        --------------  -----  \n",
            " 0   dow           1205 non-null   int64  \n",
            " 1   employees     1205 non-null   float64\n",
            " 2   overtime      1205 non-null   int64  \n",
            " 3   target_lunch  1205 non-null   float64\n",
            " 4   month         1205 non-null   int64  \n",
            " 5   day           1205 non-null   int64  \n",
            " 6   rice          1205 non-null   object \n",
            " 7   soup          1205 non-null   object \n",
            " 8   main_menu     1205 non-null   object \n",
            "dtypes: float64(2), int64(4), object(3)\n",
            "memory usage: 84.9+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 범주형 자료형으로 변환\n",
        "train_lunch['rice'] = train_lunch['rice'].astype('category')\n",
        "train_dinner['rice'] = train_dinner['rice'].astype('category')\n",
        "train_lunch['rice'] = train_lunch['rice'].cat.codes\n",
        "train_dinner['rice'] = train_dinner['rice'].cat.codes\n",
        "\n",
        "train_lunch['soup'] = train_lunch['soup'].astype('category')\n",
        "train_dinner['soup'] = train_dinner['soup'].astype('category')\n",
        "train_lunch['soup'] = train_lunch['soup'].cat.codes\n",
        "train_dinner['soup'] = train_dinner['soup'].cat.codes\n",
        "\n",
        "train_lunch['main_menu'] = train_lunch['main_menu'].astype('category')\n",
        "train_dinner['main_menu'] = train_dinner['main_menu'].astype('category')\n",
        "train_lunch['main_menu'] = train_lunch['main_menu'].cat.codes\n",
        "train_dinner['main_menu'] = train_dinner['main_menu'].cat.codes\n",
        "\n",
        "\n",
        "# test 데이터에도 적용\n",
        "test_lunch['rice'] = test_lunch['rice'].astype('category')\n",
        "test_dinner['rice'] = test_dinner['rice'].astype('category')\n",
        "test_lunch['rice'] = test_lunch['rice'].cat.codes\n",
        "test_dinner['rice'] = test_dinner['rice'].cat.codes\n",
        "\n",
        "test_lunch['soup'] = test_lunch['soup'].astype('category')\n",
        "test_dinner['soup'] = test_dinner['soup'].astype('category')\n",
        "test_lunch['soup'] = test_lunch['soup'].cat.codes\n",
        "test_dinner['soup'] = test_dinner['soup'].cat.codes\n",
        "\n",
        "test_lunch['main_menu'] = test_lunch['main_menu'].astype('category')\n",
        "test_dinner['main_menu'] = test_dinner['main_menu'].astype('category')\n",
        "test_lunch['main_menu'] = test_lunch['main_menu'].cat.codes\n",
        "test_dinner['main_menu'] = test_dinner['main_menu'].cat.codes"
      ],
      "metadata": {
        "id": "D52rCyRORH9F"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_dinner.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "27tBVQqigGG1",
        "outputId": "e2891e0e-2e23-4f67-fbc5-fc254ab01c3d"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "      <th></th>\n",
              "      <th>dow</th>\n",
              "      <th>employees</th>\n",
              "      <th>overtime</th>\n",
              "      <th>target_dinner</th>\n",
              "      <th>month</th>\n",
              "      <th>day</th>\n",
              "      <th>rice</th>\n",
              "      <th>soup</th>\n",
              "      <th>main_menu</th>\n",
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              "      <td>2378.0</td>\n",
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              "      <td>2365.0</td>\n",
              "      <td>111</td>\n",
              "      <td>573.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>65</td>\n",
              "      <td>242</td>\n",
              "      <td>428</td>\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-5c0f059a-f379-48f9-83ac-df07cff2681e');\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",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   dow  employees  overtime  target_dinner  month  day  rice  soup  main_menu\n",
              "0    1     2401.0       238          331.0      2    1    65   222        339\n",
              "1    2     2378.0       319          560.0      2    2   109   181        333\n",
              "2    3     2365.0       111          573.0      2    3    65   242        428"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_dinner.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "bvbWzqhtUXku",
        "outputId": "4345a7aa-65ba-4c67-ef06-e452483fc180"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-8f17f940-e11e-4e3c-a7f4-cc3ab73efd31\">\n",
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              "\n",
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              "    }\n",
              "\n",
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              "        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>dow</th>\n",
              "      <th>employees</th>\n",
              "      <th>overtime</th>\n",
              "      <th>month</th>\n",
              "      <th>day</th>\n",
              "      <th>rice</th>\n",
              "      <th>soup</th>\n",
              "      <th>main_menu</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>3</td>\n",
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              "      <td>25</td>\n",
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              "      <td>4</td>\n",
              "      <td>2319.0</td>\n",
              "      <td>409</td>\n",
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              "      <td>12</td>\n",
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              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>5</td>\n",
              "      <td>2170.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8f17f940-e11e-4e3c-a7f4-cc3ab73efd31')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\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-8f17f940-e11e-4e3c-a7f4-cc3ab73efd31 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-8f17f940-e11e-4e3c-a7f4-cc3ab73efd31');\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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   dow  employees  overtime  month  day  rice  soup  main_menu\n",
              "0    3     2355.0         5      1   27    14    32         25\n",
              "1    4     2319.0       409      1   28    12    34         35\n",
              "2    5     2170.0         0      1   29    14    14         44"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_lunch.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EOhTH3qWRH6r",
        "outputId": "07355c19-6c1a-4f1f-c2d5-2b55382aa195"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1205 entries, 0 to 1204\n",
            "Data columns (total 9 columns):\n",
            " #   Column        Non-Null Count  Dtype  \n",
            "---  ------        --------------  -----  \n",
            " 0   dow           1205 non-null   int64  \n",
            " 1   employees     1205 non-null   float64\n",
            " 2   overtime      1205 non-null   int64  \n",
            " 3   target_lunch  1205 non-null   float64\n",
            " 4   month         1205 non-null   int64  \n",
            " 5   day           1205 non-null   int64  \n",
            " 6   rice          1205 non-null   int8   \n",
            " 7   soup          1205 non-null   int16  \n",
            " 8   main_menu     1205 non-null   int16  \n",
            "dtypes: float64(2), int16(2), int64(4), int8(1)\n",
            "memory usage: 62.5 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_train_lunch = train_lunch['target_lunch']\n",
        "y_train_dinner = train_dinner['target_dinner']\n",
        "\n",
        "train_lunch.drop(['target_lunch'], axis=1, inplace=True)\n",
        "train_dinner.drop(['target_dinner'], axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "nhaYIlD0jeoO"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model_lunch = XGBRegressor()\n",
        "model_dinner = XGBRegressor()\n",
        "\n",
        "model_lunch.fit(train_lunch, y_train_lunch)\n",
        "model_dinner.fit(train_dinner, y_train_dinner)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yjJ0E4EWj0Vx",
        "outputId": "32b366ed-d7c8-47fb-9dc1-a8a393078817"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[05:47:53] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n",
            "[05:47:53] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "XGBRegressor()"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pred_lunch = model_lunch.predict(test_lunch)\n",
        "pred_dinner = model_dinner.predict(test_dinner)"
      ],
      "metadata": {
        "id": "LcmrAMbDkAc-"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "submission['중식계'] = pred_lunch\n",
        "submission['석식계'] = pred_dinner"
      ],
      "metadata": {
        "id": "B7ZlYK9zkESZ"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "submission.to_csv('XGBRegressor.csv', index=False)"
      ],
      "metadata": {
        "id": "qiFJPeV4kXXU"
      },
      "execution_count": 41,
      "outputs": []
    }
  ]
}