Semi_supervised_Meta_Pseudo_Labels_Data_Preprocessing.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4Cv6GucBWMdA"
      },
      "source": [
        "# Google Drive 연결"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6s_Qu2w5V9dU",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bb1bfce4-f7a9-4736-b069-0c13f9a1130c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GEU-iaV4WS2c"
      },
      "source": [
        "# Import Libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vT0r2HyFWdCY"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "from xgboost import XGBClassifier\n",
        "from xgboost import plot_importance\n",
        "\n",
        "from sklearn.experimental import enable_iterative_imputer\n",
        "from sklearn.impute import IterativeImputer\n",
        "\n",
        "import seaborn as sns\n",
        "\n",
        "import torch\n",
        "from torch import nn, Tensor\n",
        "import torch.optim as optim\n",
        "import torch.nn.functional as F\n",
        "\n",
        "from tqdm.notebook import tqdm"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f-ob6Tv9Wr24"
      },
      "source": [
        "# 데이터 Load"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 687
        },
        "id": "3IM11Zw6WtWw",
        "outputId": "4204cf4b-e6d8-40a7-aa60-f53bcc14bff3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             ID  Month  Day_of_Month  Estimated_Departure_Time  \\\n",
              "0  TRAIN_000000      4            15                       NaN   \n",
              "1  TRAIN_000001      8            15                     740.0   \n",
              "2  TRAIN_000002      9             6                    1610.0   \n",
              "3  TRAIN_000003      7            10                     905.0   \n",
              "4  TRAIN_000004      1            11                     900.0   \n",
              "5  TRAIN_000005      4            13                    1545.0   \n",
              "6  TRAIN_000006      1            20                    1742.0   \n",
              "7  TRAIN_000007      4            20                    1815.0   \n",
              "8  TRAIN_000008      6            13                    1420.0   \n",
              "9  TRAIN_000009      6             6                     650.0   \n",
              "\n",
              "   Estimated_Arrival_Time  Cancelled  Diverted Origin_Airport  \\\n",
              "0                     NaN          0         0            OKC   \n",
              "1                  1024.0          0         0            ORD   \n",
              "2                  1805.0          0         0            CLT   \n",
              "3                  1735.0          0         0            LAX   \n",
              "4                  1019.0          0         0            SFO   \n",
              "5                     NaN          0         0            EWR   \n",
              "6                  1903.0          0         0            EWR   \n",
              "7                  1955.0          0         0            ORD   \n",
              "8                  1550.0          0         0            BWI   \n",
              "9                   838.0          0         0            LIT   \n",
              "\n",
              "   Origin_Airport_ID    Origin_State Destination_Airport  \\\n",
              "0              13851        Oklahoma                 HOU   \n",
              "1              13930        Illinois                 SLC   \n",
              "2              11057  North Carolina                 LGA   \n",
              "3              12892      California                 EWR   \n",
              "4              14771      California                 ACV   \n",
              "5              11618             NaN                 DCA   \n",
              "6              11618      New Jersey                 BOS   \n",
              "7              13930        Illinois                 MCI   \n",
              "8              10821             NaN                 CLT   \n",
              "9              12992        Arkansas                 IAH   \n",
              "\n",
              "   Destination_Airport_ID Destination_State  Distance  \\\n",
              "0                   12191             Texas     419.0   \n",
              "1                   14869              Utah    1250.0   \n",
              "2                   12953          New York     544.0   \n",
              "3                   11618        New Jersey    2454.0   \n",
              "4                   10157        California     250.0   \n",
              "5                   11278          Virginia     199.0   \n",
              "6                   10721     Massachusetts     200.0   \n",
              "7                   13198          Missouri     403.0   \n",
              "8                   11057    North Carolina     361.0   \n",
              "9                   12266             Texas     374.0   \n",
              "\n",
              "                    Airline Carrier_Code(IATA)  Carrier_ID(DOT) Tail_Number  \\\n",
              "0    Southwest Airlines Co.                 WN          19393.0      N7858A   \n",
              "1     SkyWest Airlines Inc.                 UA          20304.0      N125SY   \n",
              "2    American Airlines Inc.                 AA          19805.0      N103US   \n",
              "3     United Air Lines Inc.                 UA              NaN      N595UA   \n",
              "4     SkyWest Airlines Inc.                 UA          20304.0      N161SY   \n",
              "5         Republic Airlines                 UA          20452.0      N657RW   \n",
              "6     United Air Lines Inc.                 UA              NaN      N66825   \n",
              "7                       NaN                 UA          20304.0      N110SY   \n",
              "8    Southwest Airlines Co.                 WN          19393.0      N765SW   \n",
              "9  ExpressJet Airlines Inc.                 UA          20366.0      N14902   \n",
              "\n",
              "         Delay  \n",
              "0          NaN  \n",
              "1          NaN  \n",
              "2          NaN  \n",
              "3          NaN  \n",
              "4          NaN  \n",
              "5  Not_Delayed  \n",
              "6  Not_Delayed  \n",
              "7          NaN  \n",
              "8  Not_Delayed  \n",
              "9          NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-75c100eb-5cee-4bbd-be1a-3a850c65f769\">\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>ID</th>\n",
              "      <th>Month</th>\n",
              "      <th>Day_of_Month</th>\n",
              "      <th>Estimated_Departure_Time</th>\n",
              "      <th>Estimated_Arrival_Time</th>\n",
              "      <th>Cancelled</th>\n",
              "      <th>Diverted</th>\n",
              "      <th>Origin_Airport</th>\n",
              "      <th>Origin_Airport_ID</th>\n",
              "      <th>Origin_State</th>\n",
              "      <th>Destination_Airport</th>\n",
              "      <th>Destination_Airport_ID</th>\n",
              "      <th>Destination_State</th>\n",
              "      <th>Distance</th>\n",
              "      <th>Airline</th>\n",
              "      <th>Carrier_Code(IATA)</th>\n",
              "      <th>Carrier_ID(DOT)</th>\n",
              "      <th>Tail_Number</th>\n",
              "      <th>Delay</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>TRAIN_000000</td>\n",
              "      <td>4</td>\n",
              "      <td>15</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>OKC</td>\n",
              "      <td>13851</td>\n",
              "      <td>Oklahoma</td>\n",
              "      <td>HOU</td>\n",
              "      <td>12191</td>\n",
              "      <td>Texas</td>\n",
              "      <td>419.0</td>\n",
              "      <td>Southwest Airlines Co.</td>\n",
              "      <td>WN</td>\n",
              "      <td>19393.0</td>\n",
              "      <td>N7858A</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>TRAIN_000001</td>\n",
              "      <td>8</td>\n",
              "      <td>15</td>\n",
              "      <td>740.0</td>\n",
              "      <td>1024.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>ORD</td>\n",
              "      <td>13930</td>\n",
              "      <td>Illinois</td>\n",
              "      <td>SLC</td>\n",
              "      <td>14869</td>\n",
              "      <td>Utah</td>\n",
              "      <td>1250.0</td>\n",
              "      <td>SkyWest Airlines Inc.</td>\n",
              "      <td>UA</td>\n",
              "      <td>20304.0</td>\n",
              "      <td>N125SY</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>TRAIN_000002</td>\n",
              "      <td>9</td>\n",
              "      <td>6</td>\n",
              "      <td>1610.0</td>\n",
              "      <td>1805.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>CLT</td>\n",
              "      <td>11057</td>\n",
              "      <td>North Carolina</td>\n",
              "      <td>LGA</td>\n",
              "      <td>12953</td>\n",
              "      <td>New York</td>\n",
              "      <td>544.0</td>\n",
              "      <td>American Airlines Inc.</td>\n",
              "      <td>AA</td>\n",
              "      <td>19805.0</td>\n",
              "      <td>N103US</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>TRAIN_000003</td>\n",
              "      <td>7</td>\n",
              "      <td>10</td>\n",
              "      <td>905.0</td>\n",
              "      <td>1735.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>LAX</td>\n",
              "      <td>12892</td>\n",
              "      <td>California</td>\n",
              "      <td>EWR</td>\n",
              "      <td>11618</td>\n",
              "      <td>New Jersey</td>\n",
              "      <td>2454.0</td>\n",
              "      <td>United Air Lines Inc.</td>\n",
              "      <td>UA</td>\n",
              "      <td>NaN</td>\n",
              "      <td>N595UA</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>TRAIN_000004</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>900.0</td>\n",
              "      <td>1019.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>SFO</td>\n",
              "      <td>14771</td>\n",
              "      <td>California</td>\n",
              "      <td>ACV</td>\n",
              "      <td>10157</td>\n",
              "      <td>California</td>\n",
              "      <td>250.0</td>\n",
              "      <td>SkyWest Airlines Inc.</td>\n",
              "      <td>UA</td>\n",
              "      <td>20304.0</td>\n",
              "      <td>N161SY</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>TRAIN_000005</td>\n",
              "      <td>4</td>\n",
              "      <td>13</td>\n",
              "      <td>1545.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>EWR</td>\n",
              "      <td>11618</td>\n",
              "      <td>NaN</td>\n",
              "      <td>DCA</td>\n",
              "      <td>11278</td>\n",
              "      <td>Virginia</td>\n",
              "      <td>199.0</td>\n",
              "      <td>Republic Airlines</td>\n",
              "      <td>UA</td>\n",
              "      <td>20452.0</td>\n",
              "      <td>N657RW</td>\n",
              "      <td>Not_Delayed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>TRAIN_000006</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>1742.0</td>\n",
              "      <td>1903.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>EWR</td>\n",
              "      <td>11618</td>\n",
              "      <td>New Jersey</td>\n",
              "      <td>BOS</td>\n",
              "      <td>10721</td>\n",
              "      <td>Massachusetts</td>\n",
              "      <td>200.0</td>\n",
              "      <td>United Air Lines Inc.</td>\n",
              "      <td>UA</td>\n",
              "      <td>NaN</td>\n",
              "      <td>N66825</td>\n",
              "      <td>Not_Delayed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>TRAIN_000007</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>1815.0</td>\n",
              "      <td>1955.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>ORD</td>\n",
              "      <td>13930</td>\n",
              "      <td>Illinois</td>\n",
              "      <td>MCI</td>\n",
              "      <td>13198</td>\n",
              "      <td>Missouri</td>\n",
              "      <td>403.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>UA</td>\n",
              "      <td>20304.0</td>\n",
              "      <td>N110SY</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>TRAIN_000008</td>\n",
              "      <td>6</td>\n",
              "      <td>13</td>\n",
              "      <td>1420.0</td>\n",
              "      <td>1550.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>BWI</td>\n",
              "      <td>10821</td>\n",
              "      <td>NaN</td>\n",
              "      <td>CLT</td>\n",
              "      <td>11057</td>\n",
              "      <td>North Carolina</td>\n",
              "      <td>361.0</td>\n",
              "      <td>Southwest Airlines Co.</td>\n",
              "      <td>WN</td>\n",
              "      <td>19393.0</td>\n",
              "      <td>N765SW</td>\n",
              "      <td>Not_Delayed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>TRAIN_000009</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>650.0</td>\n",
              "      <td>838.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>LIT</td>\n",
              "      <td>12992</td>\n",
              "      <td>Arkansas</td>\n",
              "      <td>IAH</td>\n",
              "      <td>12266</td>\n",
              "      <td>Texas</td>\n",
              "      <td>374.0</td>\n",
              "      <td>ExpressJet Airlines Inc.</td>\n",
              "      <td>UA</td>\n",
              "      <td>20366.0</td>\n",
              "      <td>N14902</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-75c100eb-5cee-4bbd-be1a-3a850c65f769')\"\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",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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-75c100eb-5cee-4bbd-be1a-3a850c65f769 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-75c100eb-5cee-4bbd-be1a-3a850c65f769');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "root_path = '/content/drive/MyDrive/Dacon'\n",
        "train_df = pd.read_csv(root_path + '/train.csv')\n",
        "\n",
        "train_df.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dE1S_9fDasJT",
        "outputId": "4f06a2a7-a46d-4f62-bef9-cf1a72ca90b5"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1000000 entries, 0 to 999999\n",
            "Data columns (total 19 columns):\n",
            " #   Column                    Non-Null Count    Dtype  \n",
            "---  ------                    --------------    -----  \n",
            " 0   ID                        1000000 non-null  object \n",
            " 1   Month                     1000000 non-null  int64  \n",
            " 2   Day_of_Month              1000000 non-null  int64  \n",
            " 3   Estimated_Departure_Time  890981 non-null   float64\n",
            " 4   Estimated_Arrival_Time    890960 non-null   float64\n",
            " 5   Cancelled                 1000000 non-null  int64  \n",
            " 6   Diverted                  1000000 non-null  int64  \n",
            " 7   Origin_Airport            1000000 non-null  object \n",
            " 8   Origin_Airport_ID         1000000 non-null  int64  \n",
            " 9   Origin_State              890985 non-null   object \n",
            " 10  Destination_Airport       1000000 non-null  object \n",
            " 11  Destination_Airport_ID    1000000 non-null  int64  \n",
            " 12  Destination_State         890921 non-null   object \n",
            " 13  Distance                  1000000 non-null  float64\n",
            " 14  Airline                   891080 non-null   object \n",
            " 15  Carrier_Code(IATA)        891010 non-null   object \n",
            " 16  Carrier_ID(DOT)           891003 non-null   float64\n",
            " 17  Tail_Number               1000000 non-null  object \n",
            " 18  Delay                     255001 non-null   object \n",
            "dtypes: float64(4), int64(6), object(9)\n",
            "memory usage: 145.0+ MB\n"
          ]
        }
      ],
      "source": [
        "train_df.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ODjMPdpqadQl"
      },
      "source": [
        "# 결측치 확인"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b2w-dsNgahV_",
        "outputId": "fa46141e-34fb-4cdb-8c30-53084806b217"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ID                               0\n",
              "Month                            0\n",
              "Day_of_Month                     0\n",
              "Estimated_Departure_Time    109019\n",
              "Estimated_Arrival_Time      109040\n",
              "Cancelled                        0\n",
              "Diverted                         0\n",
              "Origin_Airport                   0\n",
              "Origin_Airport_ID                0\n",
              "Origin_State                109015\n",
              "Destination_Airport              0\n",
              "Destination_Airport_ID           0\n",
              "Destination_State           109079\n",
              "Distance                         0\n",
              "Airline                     108920\n",
              "Carrier_Code(IATA)          108990\n",
              "Carrier_ID(DOT)             108997\n",
              "Tail_Number                      0\n",
              "Delay                       744999\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "miss_values = train_df.isnull().sum()\n",
        "miss_values"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A1q4kNymhMIu"
      },
      "source": [
        "# XGBoost를 통한 feature 중요도 파악"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "J4RdvDkNm9Od",
        "outputId": "05eebdc7-2fa0-4e5b-eb72-d6dc0287d521"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Delayed' 'Not_Delayed']\n",
            "CPU times: user 23.2 s, sys: 14.9 ms, total: 23.2 s\n",
            "Wall time: 13.9 s\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric='logloss',\n",
              "              feature_types=None, gamma=None, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=None, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=None,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_parallel_tree=None, predictor=None, random_state=None, ...)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=&#x27;logloss&#x27;,\n",
              "              feature_types=None, gamma=None, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=None, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=None,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_parallel_tree=None, predictor=None, random_state=None, ...)</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 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 sk-toggleable__label-arrow\">XGBClassifier</label><div class=\"sk-toggleable__content\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=&#x27;logloss&#x27;,\n",
              "              feature_types=None, gamma=None, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=None, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=None,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_parallel_tree=None, predictor=None, random_state=None, ...)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "%%time\n",
        "\n",
        "# NaN을 포함하는 모든 row를 drop\n",
        "drop_df = train_df.dropna(axis=0).drop(['ID'], axis=1)\n",
        "\n",
        "# Label Encoding\n",
        "for c in ['Origin_Airport', 'Origin_State', 'Destination_Airport', 'Destination_State', 'Airline', 'Carrier_Code(IATA)', 'Tail_Number', 'Delay']:\n",
        "    le = LabelEncoder()\n",
        "    le.fit(drop_df[c])\n",
        "    drop_df[c] = le.transform(drop_df[c])\n",
        "\n",
        "    if c == 'Delay':\n",
        "        print(le.classes_)\n",
        "\n",
        "# XGBoost\n",
        "\n",
        "features = drop_df.iloc[:, :-1]\n",
        "target = drop_df['Delay']\n",
        "\n",
        "model = XGBClassifier(eval_metric='logloss')\n",
        "model.fit(features, target)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "TDvXquyi_68o",
        "outputId": "d3a70d53-2141-48ec-9fde-cf06a56eeeeb"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plot_importance(model)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M_ebQTAePX9k"
      },
      "source": [
        "# 결측치 채우기 : Iterative Imputation for Departure/Arrival Time Feature\n",
        "IterativeImputer : 반복되는 라운드 로빈 방식을 통해 iteration, 각 feature에 대해 회귀 분석을 진행해서 결측값을 예측  \n",
        "Round-robin : 기회를 동등하게 갖는 방식"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X0YIPpR3Pcmh",
        "outputId": "7cdf2293-a372-4d34-a91d-04c331468603"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "CPU times: user 13.4 s, sys: 9.22 s, total: 22.6 s\n",
            "Wall time: 19.1 s\n"
          ]
        }
      ],
      "source": [
        "%%time\n",
        "\n",
        "# object data 제거 -> Numeric data\n",
        "drop_columns = ['ID', 'Origin_State', 'Destination_State', 'Airline', 'Carrier_Code(IATA)', 'Carrier_ID(DOT)', 'Origin_Airport', 'Destination_Airport', 'Tail_Number', 'Delay']\n",
        "train_feature = train_df.drop(drop_columns, axis=1)\n",
        "\n",
        "imputer = IterativeImputer(random_state=42)\n",
        "imputed_feature = imputer.fit_transform(train_feature)\n",
        "\n",
        "imputed_feature = pd.DataFrame(imputed_feature, columns=train_feature.columns) # imputed features"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "uwNIgNTzK9T4",
        "outputId": "f8582c66-d1e0-44ce-b7c0-ee7d59d7d79f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Month  Day_of_Month  Estimated_Departure_Time  Estimated_Arrival_Time  \\\n",
              "0    4.0          15.0               1333.469563             1486.207808   \n",
              "1    8.0          15.0                740.000000             1024.000000   \n",
              "2    9.0           6.0               1610.000000             1805.000000   \n",
              "\n",
              "   Cancelled  Diverted  Origin_Airport_ID  Destination_Airport_ID  Distance  \n",
              "0        0.0       0.0            13851.0                 12191.0     419.0  \n",
              "1        0.0       0.0            13930.0                 14869.0    1250.0  \n",
              "2        0.0       0.0            11057.0                 12953.0     544.0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b06ecb5d-d1c0-45e4-9fae-76ba59048bd2\">\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>Month</th>\n",
              "      <th>Day_of_Month</th>\n",
              "      <th>Estimated_Departure_Time</th>\n",
              "      <th>Estimated_Arrival_Time</th>\n",
              "      <th>Cancelled</th>\n",
              "      <th>Diverted</th>\n",
              "      <th>Origin_Airport_ID</th>\n",
              "      <th>Destination_Airport_ID</th>\n",
              "      <th>Distance</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>1333.469563</td>\n",
              "      <td>1486.207808</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>13851.0</td>\n",
              "      <td>12191.0</td>\n",
              "      <td>419.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>8.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>740.000000</td>\n",
              "      <td>1024.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>13930.0</td>\n",
              "      <td>14869.0</td>\n",
              "      <td>1250.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1610.000000</td>\n",
              "      <td>1805.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11057.0</td>\n",
              "      <td>12953.0</td>\n",
              "      <td>544.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b06ecb5d-d1c0-45e4-9fae-76ba59048bd2')\"\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",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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-b06ecb5d-d1c0-45e4-9fae-76ba59048bd2 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-b06ecb5d-d1c0-45e4-9fae-76ba59048bd2');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "imputed_feature.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fDNHqU9CLBQw",
        "outputId": "a3035da6-7217-4b52-b2a8-eeee10613121"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1000000 entries, 0 to 999999\n",
            "Data columns (total 9 columns):\n",
            " #   Column                    Non-Null Count    Dtype  \n",
            "---  ------                    --------------    -----  \n",
            " 0   Month                     1000000 non-null  float64\n",
            " 1   Day_of_Month              1000000 non-null  float64\n",
            " 2   Estimated_Departure_Time  1000000 non-null  float64\n",
            " 3   Estimated_Arrival_Time    1000000 non-null  float64\n",
            " 4   Cancelled                 1000000 non-null  float64\n",
            " 5   Diverted                  1000000 non-null  float64\n",
            " 6   Origin_Airport_ID         1000000 non-null  float64\n",
            " 7   Destination_Airport_ID    1000000 non-null  float64\n",
            " 8   Distance                  1000000 non-null  float64\n",
            "dtypes: float64(9)\n",
            "memory usage: 68.7 MB\n"
          ]
        }
      ],
      "source": [
        "imputed_feature.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DT450XoMjMC1"
      },
      "source": [
        "# Preparing Train Data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "P2Itj0xGRGxG"
      },
      "outputs": [],
      "source": [
        "target_df = [train_df[data] for data in ['Origin_Airport', 'Destination_Airport', 'Tail_Number', 'Delay']]\n",
        "target_df.insert(0, imputed_feature)\n",
        "final_df = pd.concat(target_df, axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "Pq3SwqSWTSSJ",
        "outputId": "659480cb-828b-4faa-8057-153629c87fa3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Month  Day_of_Month  Estimated_Departure_Time  Estimated_Arrival_Time  \\\n",
              "0    4.0          15.0               1333.469563             1486.207808   \n",
              "1    8.0          15.0                740.000000             1024.000000   \n",
              "2    9.0           6.0               1610.000000             1805.000000   \n",
              "3    7.0          10.0                905.000000             1735.000000   \n",
              "4    1.0          11.0                900.000000             1019.000000   \n",
              "5    4.0          13.0               1545.000000             1639.334379   \n",
              "6    1.0          20.0               1742.000000             1903.000000   \n",
              "7    4.0          20.0               1815.000000             1955.000000   \n",
              "8    6.0          13.0               1420.000000             1550.000000   \n",
              "9    6.0           6.0                650.000000              838.000000   \n",
              "\n",
              "   Cancelled  Diverted  Origin_Airport_ID  Destination_Airport_ID  Distance  \\\n",
              "0        0.0       0.0            13851.0                 12191.0     419.0   \n",
              "1        0.0       0.0            13930.0                 14869.0    1250.0   \n",
              "2        0.0       0.0            11057.0                 12953.0     544.0   \n",
              "3        0.0       0.0            12892.0                 11618.0    2454.0   \n",
              "4        0.0       0.0            14771.0                 10157.0     250.0   \n",
              "5        0.0       0.0            11618.0                 11278.0     199.0   \n",
              "6        0.0       0.0            11618.0                 10721.0     200.0   \n",
              "7        0.0       0.0            13930.0                 13198.0     403.0   \n",
              "8        0.0       0.0            10821.0                 11057.0     361.0   \n",
              "9        0.0       0.0            12992.0                 12266.0     374.0   \n",
              "\n",
              "  Origin_Airport Destination_Airport Tail_Number        Delay  \n",
              "0            OKC                 HOU      N7858A          NaN  \n",
              "1            ORD                 SLC      N125SY          NaN  \n",
              "2            CLT                 LGA      N103US          NaN  \n",
              "3            LAX                 EWR      N595UA          NaN  \n",
              "4            SFO                 ACV      N161SY          NaN  \n",
              "5            EWR                 DCA      N657RW  Not_Delayed  \n",
              "6            EWR                 BOS      N66825  Not_Delayed  \n",
              "7            ORD                 MCI      N110SY          NaN  \n",
              "8            BWI                 CLT      N765SW  Not_Delayed  \n",
              "9            LIT                 IAH      N14902          NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-92db7495-8dc6-4f1e-bef1-ecdccf4b9ba1\">\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>Month</th>\n",
              "      <th>Day_of_Month</th>\n",
              "      <th>Estimated_Departure_Time</th>\n",
              "      <th>Estimated_Arrival_Time</th>\n",
              "      <th>Cancelled</th>\n",
              "      <th>Diverted</th>\n",
              "      <th>Origin_Airport_ID</th>\n",
              "      <th>Destination_Airport_ID</th>\n",
              "      <th>Distance</th>\n",
              "      <th>Origin_Airport</th>\n",
              "      <th>Destination_Airport</th>\n",
              "      <th>Tail_Number</th>\n",
              "      <th>Delay</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>1333.469563</td>\n",
              "      <td>1486.207808</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>13851.0</td>\n",
              "      <td>12191.0</td>\n",
              "      <td>419.0</td>\n",
              "      <td>OKC</td>\n",
              "      <td>HOU</td>\n",
              "      <td>N7858A</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>8.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>740.000000</td>\n",
              "      <td>1024.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>13930.0</td>\n",
              "      <td>14869.0</td>\n",
              "      <td>1250.0</td>\n",
              "      <td>ORD</td>\n",
              "      <td>SLC</td>\n",
              "      <td>N125SY</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1610.000000</td>\n",
              "      <td>1805.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11057.0</td>\n",
              "      <td>12953.0</td>\n",
              "      <td>544.0</td>\n",
              "      <td>CLT</td>\n",
              "      <td>LGA</td>\n",
              "      <td>N103US</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>905.000000</td>\n",
              "      <td>1735.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>12892.0</td>\n",
              "      <td>11618.0</td>\n",
              "      <td>2454.0</td>\n",
              "      <td>LAX</td>\n",
              "      <td>EWR</td>\n",
              "      <td>N595UA</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>900.000000</td>\n",
              "      <td>1019.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14771.0</td>\n",
              "      <td>10157.0</td>\n",
              "      <td>250.0</td>\n",
              "      <td>SFO</td>\n",
              "      <td>ACV</td>\n",
              "      <td>N161SY</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>4.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>1545.000000</td>\n",
              "      <td>1639.334379</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11618.0</td>\n",
              "      <td>11278.0</td>\n",
              "      <td>199.0</td>\n",
              "      <td>EWR</td>\n",
              "      <td>DCA</td>\n",
              "      <td>N657RW</td>\n",
              "      <td>Not_Delayed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>1.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>1742.000000</td>\n",
              "      <td>1903.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11618.0</td>\n",
              "      <td>10721.0</td>\n",
              "      <td>200.0</td>\n",
              "      <td>EWR</td>\n",
              "      <td>BOS</td>\n",
              "      <td>N66825</td>\n",
              "      <td>Not_Delayed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>4.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>1815.000000</td>\n",
              "      <td>1955.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>13930.0</td>\n",
              "      <td>13198.0</td>\n",
              "      <td>403.0</td>\n",
              "      <td>ORD</td>\n",
              "      <td>MCI</td>\n",
              "      <td>N110SY</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>6.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>1420.000000</td>\n",
              "      <td>1550.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10821.0</td>\n",
              "      <td>11057.0</td>\n",
              "      <td>361.0</td>\n",
              "      <td>BWI</td>\n",
              "      <td>CLT</td>\n",
              "      <td>N765SW</td>\n",
              "      <td>Not_Delayed</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>650.000000</td>\n",
              "      <td>838.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>12992.0</td>\n",
              "      <td>12266.0</td>\n",
              "      <td>374.0</td>\n",
              "      <td>LIT</td>\n",
              "      <td>IAH</td>\n",
              "      <td>N14902</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-92db7495-8dc6-4f1e-bef1-ecdccf4b9ba1')\"\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",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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-92db7495-8dc6-4f1e-bef1-ecdccf4b9ba1 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-92db7495-8dc6-4f1e-bef1-ecdccf4b9ba1');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "final_df.head(10)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "knnLE4wfIgSY"
      },
      "source": [
        "## 범주형 데이터 Label Encdoing 진행"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FlK2sc05IlCJ"
      },
      "outputs": [],
      "source": [
        "# Label Encoding for string data\n",
        "for c in ['Origin_Airport', 'Destination_Airport', 'Tail_Number']:\n",
        "    le = LabelEncoder()\n",
        "    le.fit(final_df[c])\n",
        "    final_df[c] = le.transform(final_df[c])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "uUrGB1JOeLzJ",
        "outputId": "89702c1c-06d6-4479-ec32-d2b6d3b8046c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1500 with 12 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "CPU times: user 44.9 s, sys: 1.65 s, total: 46.5 s\n",
            "Wall time: 51.7 s\n"
          ]
        }
      ],
      "source": [
        "%%time\n",
        "\n",
        "fig, axes = plt.subplots(4, 3, figsize=(15, 15))\n",
        "sns.set_theme(style='whitegrid')\n",
        "\n",
        "col_name = final_df.columns.values.tolist()\n",
        "\n",
        "index = 0\n",
        "for row in range(4):\n",
        "    for col in range(3):\n",
        "        sns.histplot(data=final_df, x=col_name[index], kde=True, ax=axes[row, col])\n",
        "        index += 1\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jLaCr-tLDx6a"
      },
      "source": [
        "## Z-score Normalization\n",
        "전체 데이터 평균 : 0  \n",
        "전체 데이터 표준편차 : 1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AyBEpKrQD0c1"
      },
      "outputs": [],
      "source": [
        "# Z-점수 정규화\n",
        "aimed_col = ['Month', 'Day_of_Month', 'Estimated_Departure_Time', 'Estimated_Arrival_Time', 'Origin_Airport_ID', 'Destination_Airport_ID', 'Distance', 'Origin_Airport', 'Destination_Airport', 'Tail_Number']\n",
        "for col in aimed_col:\n",
        "    final_df[col] = (final_df[col] - final_df[col].mean()) / final_df[col].std()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "vDRwNeJkD77c",
        "outputId": "8f8ab430-2495-4269-bf65-4c21b9891c1a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1500 with 12 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "CPU times: user 42.7 s, sys: 1.4 s, total: 44.1 s\n",
            "Wall time: 44.1 s\n"
          ]
        }
      ],
      "source": [
        "%%time\n",
        "\n",
        "fig, axes = plt.subplots(4, 3, figsize=(15, 15))\n",
        "sns.set_theme(style='whitegrid')\n",
        "\n",
        "col_name = final_df.columns.values.tolist()\n",
        "\n",
        "index = 0\n",
        "for row in range(4):\n",
        "    for col in range(3):\n",
        "        sns.histplot(data=final_df, x=col_name[index], kde=True, ax=axes[row, col])\n",
        "        index += 1\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207
        },
        "id": "8QFqvIqIOC75",
        "outputId": "a98369be-90be-4f80-fdc8-56524b19d5e6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Month  Day_of_Month  Estimated_Departure_Time  Estimated_Arrival_Time  \\\n",
              "0 -0.850585     -0.087276                 -0.015940               -0.013746   \n",
              "1  0.304648     -0.087276                 -1.263951               -0.928092   \n",
              "2  0.593456     -1.114261                  0.565577                0.616893   \n",
              "\n",
              "   Cancelled  Diverted  Origin_Airport_ID  Destination_Airport_ID  Distance  \\\n",
              "0        0.0       0.0           0.762223               -0.337124 -0.617949   \n",
              "1        0.0       0.0           0.814371                1.430285  0.788641   \n",
              "2        0.0       0.0          -1.082076                0.165776 -0.406368   \n",
              "\n",
              "   Origin_Airport  Destination_Airport  Tail_Number Delay  \n",
              "0        0.682733            -0.251234     0.598670   NaN  \n",
              "1        0.722746             1.469016    -1.610785   NaN  \n",
              "2       -1.097855             0.198831    -1.704476   NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-bc7caad8-ae1e-468c-b122-79026eff6269\">\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>Month</th>\n",
              "      <th>Day_of_Month</th>\n",
              "      <th>Estimated_Departure_Time</th>\n",
              "      <th>Estimated_Arrival_Time</th>\n",
              "      <th>Cancelled</th>\n",
              "      <th>Diverted</th>\n",
              "      <th>Origin_Airport_ID</th>\n",
              "      <th>Destination_Airport_ID</th>\n",
              "      <th>Distance</th>\n",
              "      <th>Origin_Airport</th>\n",
              "      <th>Destination_Airport</th>\n",
              "      <th>Tail_Number</th>\n",
              "      <th>Delay</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-0.850585</td>\n",
              "      <td>-0.087276</td>\n",
              "      <td>-0.015940</td>\n",
              "      <td>-0.013746</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.762223</td>\n",
              "      <td>-0.337124</td>\n",
              "      <td>-0.617949</td>\n",
              "      <td>0.682733</td>\n",
              "      <td>-0.251234</td>\n",
              "      <td>0.598670</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.304648</td>\n",
              "      <td>-0.087276</td>\n",
              "      <td>-1.263951</td>\n",
              "      <td>-0.928092</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.814371</td>\n",
              "      <td>1.430285</td>\n",
              "      <td>0.788641</td>\n",
              "      <td>0.722746</td>\n",
              "      <td>1.469016</td>\n",
              "      <td>-1.610785</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.593456</td>\n",
              "      <td>-1.114261</td>\n",
              "      <td>0.565577</td>\n",
              "      <td>0.616893</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-1.082076</td>\n",
              "      <td>0.165776</td>\n",
              "      <td>-0.406368</td>\n",
              "      <td>-1.097855</td>\n",
              "      <td>0.198831</td>\n",
              "      <td>-1.704476</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bc7caad8-ae1e-468c-b122-79026eff6269')\"\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",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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-bc7caad8-ae1e-468c-b122-79026eff6269 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-bc7caad8-ae1e-468c-b122-79026eff6269');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "final_df.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h6cLYTzRnr2w",
        "outputId": "a5b835f0-6bd6-4026-a52c-9c61fbef7128"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Delayed' 'Not_Delayed']\n"
          ]
        }
      ],
      "source": [
        "ul_df = final_df.loc[final_df.Delay.isnull()].drop(['Delay'], axis=1)\n",
        "l_df = final_df.loc[final_df.Delay.notnull()]\n",
        "\n",
        "le = LabelEncoder()\n",
        "le.fit(l_df['Delay'])\n",
        "l_df['Delay'] = le.transform(l_df['Delay'])\n",
        "\n",
        "l_x = torch.tensor(l_df.iloc[:, :-1].values).type(torch.float32).to('cuda:0')\n",
        "l_y = torch.tensor(l_df['Delay'].values).type(torch.float32).to('cuda:0')\n",
        "u_x = torch.tensor(ul_df.values).type(torch.float32).to('cuda:0')\n",
        "\n",
        "print(le.classes_)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mg8xI53NyBPb",
        "outputId": "0058474d-46ef-4e55-b944-5afd599a299d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.float32 / torch.float32 / torch.float32\n"
          ]
        }
      ],
      "source": [
        "print(f'{l_x.dtype} / {l_y.dtype} / {u_x.dtype}')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NHkLui2iBj9y"
      },
      "source": [
        "Delayed: 0 / Not_Delayed: 1"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}