model_training.ipynb

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            "Requirement already satisfied: pycaret in /usr/local/lib/python3.6/dist-packages (1.0.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from pycaret) (1.18.4)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.6/dist-packages (from pycaret) (0.15.1)\n",
            "Requirement already satisfied: kmodes==0.10.1 in /usr/local/lib/python3.6/dist-packages (from pycaret) (0.10.1)\n",
            "Requirement already satisfied: wordcloud in /usr/local/lib/python3.6/dist-packages (from pycaret) (1.5.0)\n",
            "Requirement already satisfied: datefinder==0.7.0 in /usr/local/lib/python3.6/dist-packages (from pycaret) (0.7.0)\n",
            "Requirement already satisfied: datetime in /usr/local/lib/python3.6/dist-packages (from pycaret) (4.3)\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eBC-PdmQkVcS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8cjxsT4UkY8t",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df=pd.read_csv(\"GB.csv\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "75MNeVcLksO6",
        "colab_type": "code",
        "outputId": "71de94a0-8637-4328-c629-885fb77eb50a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 330
        }
      },
      "source": [
        "\n",
        "\n",
        "df.head()"
      ],
      "execution_count": 585,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>ishol/week</th>\n",
              "      <th>group</th>\n",
              "      <th>name</th>\n",
              "      <th>quantity</th>\n",
              "      <th>unit_cogs</th>\n",
              "      <th>monthly_Avgtemp</th>\n",
              "      <th>monthly_avg_FeelsLikeC</th>\n",
              "      <th>monthly_avg_HeatIndexC</th>\n",
              "      <th>monthly_avg_cloudcover</th>\n",
              "      <th>monthly_avg_humidity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2018-01-05</td>\n",
              "      <td>11</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>376.0</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>15.965</td>\n",
              "      <td>15.42</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>73.23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2018-01-07</td>\n",
              "      <td>9</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>356.0</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>19.725</td>\n",
              "      <td>19.90</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>75.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2018-01-06</td>\n",
              "      <td>9</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>349.0</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>17.065</td>\n",
              "      <td>17.10</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>72.30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2018-01-08</td>\n",
              "      <td>9</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>WODA MUSZYNIANKA PLUS 1_5L N/G</td>\n",
              "      <td>288.0</td>\n",
              "      <td>1.239688</td>\n",
              "      <td>19.920</td>\n",
              "      <td>20.06</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>69.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2018-01-04</td>\n",
              "      <td>10</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>254.0</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>12.080</td>\n",
              "      <td>10.37</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>72.47</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         date  ishol/week  ... monthly_avg_cloudcover monthly_avg_humidity\n",
              "0  2018-01-05          11  ...                      0                73.23\n",
              "1  2018-01-07           9  ...                      1                75.97\n",
              "2  2018-01-06           9  ...                      1                72.30\n",
              "3  2018-01-08           9  ...                      0                69.97\n",
              "4  2018-01-04          10  ...                      1                72.47\n",
              "\n",
              "[5 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 585
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EwDIiBQ6prY0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "min(df[\"quantity\"])\n",
        "df=df.drop([\"date\"],axis=1)\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JnFFadRVZokH",
        "colab_type": "code",
        "outputId": "a7813a26-43f7-4c21-fb60-596fd725d7c1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 330
        }
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 587,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>ishol/week</th>\n",
              "      <th>group</th>\n",
              "      <th>name</th>\n",
              "      <th>quantity</th>\n",
              "      <th>unit_cogs</th>\n",
              "      <th>monthly_Avgtemp</th>\n",
              "      <th>monthly_avg_FeelsLikeC</th>\n",
              "      <th>monthly_avg_HeatIndexC</th>\n",
              "      <th>monthly_avg_cloudcover</th>\n",
              "      <th>monthly_avg_humidity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>11</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>376.0</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>15.965</td>\n",
              "      <td>15.42</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>73.23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>9</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>356.0</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>19.725</td>\n",
              "      <td>19.90</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>75.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>349.0</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>17.065</td>\n",
              "      <td>17.10</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>72.30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>WODA MUSZYNIANKA PLUS 1_5L N/G</td>\n",
              "      <td>288.0</td>\n",
              "      <td>1.239688</td>\n",
              "      <td>19.920</td>\n",
              "      <td>20.06</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>69.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>254.0</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>12.080</td>\n",
              "      <td>10.37</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>72.47</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   ishol/week        group  ... monthly_avg_cloudcover  monthly_avg_humidity\n",
              "0          11  DRINK_JUICE  ...                      0                 73.23\n",
              "1           9  DRINK_JUICE  ...                      1                 75.97\n",
              "2           9  DRINK_JUICE  ...                      1                 72.30\n",
              "3           9  DRINK_JUICE  ...                      0                 69.97\n",
              "4          10  DRINK_JUICE  ...                      1                 72.47\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 587
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1mdVyh3giR6s",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df=df[df[\"quantity\"]>1]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7P8bDd6XCGMq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "df[\"quantity\"]=np.log(df[\"quantity\"])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WR9tLst4i0jn",
        "colab_type": "code",
        "outputId": "1cfeb4be-18d0-42e8-c7b2-3975675b97a4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 330
        }
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 590,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>ishol/week</th>\n",
              "      <th>group</th>\n",
              "      <th>name</th>\n",
              "      <th>quantity</th>\n",
              "      <th>unit_cogs</th>\n",
              "      <th>monthly_Avgtemp</th>\n",
              "      <th>monthly_avg_FeelsLikeC</th>\n",
              "      <th>monthly_avg_HeatIndexC</th>\n",
              "      <th>monthly_avg_cloudcover</th>\n",
              "      <th>monthly_avg_humidity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>11</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>5.929589</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>15.965</td>\n",
              "      <td>15.42</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>73.23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>9</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>5.874931</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>19.725</td>\n",
              "      <td>19.90</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>75.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>5.855072</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>17.065</td>\n",
              "      <td>17.10</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>72.30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>WODA MUSZYNIANKA PLUS 1_5L N/G</td>\n",
              "      <td>5.662960</td>\n",
              "      <td>1.239688</td>\n",
              "      <td>19.920</td>\n",
              "      <td>20.06</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>69.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10</td>\n",
              "      <td>DRINK_JUICE</td>\n",
              "      <td>ORANZADA W BUT.ZWROTNEJ</td>\n",
              "      <td>5.537334</td>\n",
              "      <td>0.450000</td>\n",
              "      <td>12.080</td>\n",
              "      <td>10.37</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>72.47</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   ishol/week        group  ... monthly_avg_cloudcover  monthly_avg_humidity\n",
              "0          11  DRINK_JUICE  ...                      0                 73.23\n",
              "1           9  DRINK_JUICE  ...                      1                 75.97\n",
              "2           9  DRINK_JUICE  ...                      1                 72.30\n",
              "3           9  DRINK_JUICE  ...                      0                 69.97\n",
              "4          10  DRINK_JUICE  ...                      1                 72.47\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 590
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4WFTL3oXlja7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from pycaret.regression import*"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NHFdtREaltTK",
        "colab_type": "code",
        "outputId": "5c26e298-8f3b-4ccf-e7fe-c5f8a5f16527",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 973,
          "referenced_widgets": [
            "e4d09982163c40d98488e20d5050a948",
            "74d782d7dd424ef6836d2f88352a106c",
            "d0943f7aee164e6d9ed1fd5724a256c9",
            "b97a789e3a5b42a18d0a61f569dc1854",
            "ab5bb622010d454881b2e7a273aec374",
            "2b1cfca8d61248148d19fbdeb48169d6"
          ]
        }
      },
      "source": [
        "model=setup(data = df, target = 'quantity', session_id=123,normalize=True,high_cardinality_features = ['name',\"group\"],numeric_features=[\"ishol/week\",\"monthly_avg_HeatIndexC\",\"monthly_avg_cloudcover\"])"
      ],
      "execution_count": 593,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " \n",
            "Setup Succesfully Completed!\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "    #T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row8_col1 {\n",
              "            background-color:  lightgreen;\n",
              "        }    #T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row15_col1 {\n",
              "            background-color:  lightgreen;\n",
              "        }</style><table id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Description</th>        <th class=\"col_heading level0 col1\" >Value</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row0_col0\" class=\"data row0 col0\" >session_id</td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row0_col1\" class=\"data row0 col1\" >123</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row1_col0\" class=\"data row1 col0\" >Transform Target </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row1_col1\" class=\"data row1 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Transform Target Method</td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row2_col1\" class=\"data row2 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Original Data</td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row3_col1\" class=\"data row3 col1\" >(5772, 10)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Missing Values </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row4_col1\" class=\"data row4 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row5_col0\" class=\"data row5 col0\" >Numeric Features </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row5_col1\" class=\"data row5 col1\" >7</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Categorical Features </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row6_col1\" class=\"data row6 col1\" >2</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Ordinal Features </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row7_col1\" class=\"data row7 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row8_col0\" class=\"data row8 col0\" >High Cardinality Features </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row8_col1\" class=\"data row8 col1\" >True</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row9_col0\" class=\"data row9 col0\" >High Cardinality Method </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row9_col1\" class=\"data row9 col1\" >frequency</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row10_col0\" class=\"data row10 col0\" >Sampled Data</td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row10_col1\" class=\"data row10 col1\" >(5772, 10)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row11_col0\" class=\"data row11 col0\" >Transformed Train Set</td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row11_col1\" class=\"data row11 col1\" >(4040, 8)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row12_col0\" class=\"data row12 col0\" >Transformed Test Set</td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row12_col1\" class=\"data row12 col1\" >(1732, 8)</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row13_col0\" class=\"data row13 col0\" >Numeric Imputer </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row13_col1\" class=\"data row13 col1\" >mean</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row14_col0\" class=\"data row14 col0\" >Categorical Imputer </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row14_col1\" class=\"data row14 col1\" >constant</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row15_col0\" class=\"data row15 col0\" >Normalize </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row15_col1\" class=\"data row15 col1\" >True</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row16_col0\" class=\"data row16 col0\" >Normalize Method </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row16_col1\" class=\"data row16 col1\" >zscore</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row17_col0\" class=\"data row17 col0\" >Transformation </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row17_col1\" class=\"data row17 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row18_col0\" class=\"data row18 col0\" >Transformation Method </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row18_col1\" class=\"data row18 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row19_col0\" class=\"data row19 col0\" >PCA </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row19_col1\" class=\"data row19 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row20_col0\" class=\"data row20 col0\" >PCA Method </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row20_col1\" class=\"data row20 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row21_col0\" class=\"data row21 col0\" >PCA Components </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row21_col1\" class=\"data row21 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row22_col0\" class=\"data row22 col0\" >Ignore Low Variance </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row22_col1\" class=\"data row22 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row23_col0\" class=\"data row23 col0\" >Combine Rare Levels </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row23_col1\" class=\"data row23 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row24_col0\" class=\"data row24 col0\" >Rare Level Threshold </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row24_col1\" class=\"data row24 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row25_col0\" class=\"data row25 col0\" >Numeric Binning </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row25_col1\" class=\"data row25 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row26_col0\" class=\"data row26 col0\" >Remove Outliers </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row26_col1\" class=\"data row26 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row27_col0\" class=\"data row27 col0\" >Outliers Threshold </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row27_col1\" class=\"data row27 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row28_col0\" class=\"data row28 col0\" >Remove Multicollinearity </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row28_col1\" class=\"data row28 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row29_col0\" class=\"data row29 col0\" >Multicollinearity Threshold </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row29_col1\" class=\"data row29 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row30_col0\" class=\"data row30 col0\" >Clustering </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row30_col1\" class=\"data row30 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row31_col0\" class=\"data row31 col0\" >Clustering Iteration </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row31_col1\" class=\"data row31 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row32_col0\" class=\"data row32 col0\" >Polynomial Features </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row32_col1\" class=\"data row32 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row33_col0\" class=\"data row33 col0\" >Polynomial Degree </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row33_col1\" class=\"data row33 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row34_col0\" class=\"data row34 col0\" >Trignometry Features </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row34_col1\" class=\"data row34 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row35_col0\" class=\"data row35 col0\" >Polynomial Threshold </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row35_col1\" class=\"data row35 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row36_col0\" class=\"data row36 col0\" >Group Features </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row36_col1\" class=\"data row36 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row37_col0\" class=\"data row37 col0\" >Feature Selection </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row37_col1\" class=\"data row37 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row38_col0\" class=\"data row38 col0\" >Features Selection Threshold </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row38_col1\" class=\"data row38 col1\" >None</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row39_col0\" class=\"data row39 col0\" >Feature Interaction </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row39_col1\" class=\"data row39 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row40_col0\" class=\"data row40 col0\" >Feature Ratio </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row40_col1\" class=\"data row40 col1\" >False</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002level0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row41_col0\" class=\"data row41 col0\" >Interaction Threshold </td>\n",
              "                        <td id=\"T_9b5be6d4_9dd7_11ea_9c0e_0242ac1c0002row41_col1\" class=\"data row41 col1\" >None</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7ff8284be588>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nATUo3aemIh6",
        "colab_type": "code",
        "outputId": "4613624e-2d11-4765-b799-1d2af9444a22",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 510,
          "referenced_widgets": [
            "2021e937c26f484cb958169a0e220b91",
            "b15c59043d68463792d4643c61ecc607",
            "e69ad9fa3c5f4618ae98ab37f531d419"
          ]
        }
      },
      "source": [
        "compare_models()"
      ],
      "execution_count": 595,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col0 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col1 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col2 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col3 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col4 {\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col5 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }    #T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col6 {\n",
              "            : ;\n",
              "            text-align:  left;\n",
              "        }</style><table id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Model</th>        <th class=\"col_heading level0 col1\" >MAE</th>        <th class=\"col_heading level0 col2\" >MSE</th>        <th class=\"col_heading level0 col3\" >RMSE</th>        <th class=\"col_heading level0 col4\" >R2</th>        <th class=\"col_heading level0 col5\" >RMSLE</th>        <th class=\"col_heading level0 col6\" >MAPE</th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row0_col0\" class=\"data row0 col0\" >Light Gradient Boosting Machine</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.587500</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.549200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.740600</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row0_col4\" class=\"data row0 col4\" >0.561800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row0_col5\" class=\"data row0 col5\" >0.255200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row0_col6\" class=\"data row0 col6\" >0.407500</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row1_col0\" class=\"data row1 col0\" >CatBoost Regressor</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row1_col1\" class=\"data row1 col1\" >0.590300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row1_col2\" class=\"data row1 col2\" >0.554900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row1_col3\" class=\"data row1 col3\" >0.744400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row1_col4\" class=\"data row1 col4\" >0.558000</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row1_col5\" class=\"data row1 col5\" >0.255900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row1_col6\" class=\"data row1 col6\" >0.410500</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row2_col0\" class=\"data row2 col0\" >Gradient Boosting Regressor</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row2_col1\" class=\"data row2 col1\" >0.601600</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row2_col2\" class=\"data row2 col2\" >0.572400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.756000</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row2_col4\" class=\"data row2 col4\" >0.544600</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row2_col5\" class=\"data row2 col5\" >0.258200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row2_col6\" class=\"data row2 col6\" >0.418700</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row3_col0\" class=\"data row3 col0\" >Random Forest</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row3_col1\" class=\"data row3 col1\" >0.588800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row3_col2\" class=\"data row3 col2\" >0.570900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row3_col3\" class=\"data row3 col3\" >0.755100</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row3_col4\" class=\"data row3 col4\" >0.543200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row3_col5\" class=\"data row3 col5\" >0.260800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row3_col6\" class=\"data row3 col6\" >0.410700</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col0\" class=\"data row4 col0\" >Extreme Gradient Boosting</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col1\" class=\"data row4 col1\" >0.604000</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col2\" class=\"data row4 col2\" >0.575800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col3\" class=\"data row4 col3\" >0.758200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col4\" class=\"data row4 col4\" >0.541800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col5\" class=\"data row4 col5\" >0.258800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row4_col6\" class=\"data row4 col6\" >0.419100</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col0\" class=\"data row5 col0\" >AdaBoost Regressor</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col1\" class=\"data row5 col1\" >0.669100</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col2\" class=\"data row5 col2\" >0.672500</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col3\" class=\"data row5 col3\" >0.819400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col4\" class=\"data row5 col4\" >0.465100</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col5\" class=\"data row5 col5\" >0.286300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row5_col6\" class=\"data row5 col6\" >0.509500</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col0\" class=\"data row6 col0\" >Extra Trees Regressor</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col1\" class=\"data row6 col1\" >0.671300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col2\" class=\"data row6 col2\" >0.748500</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.864700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col4\" class=\"data row6 col4\" >0.400000</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col5\" class=\"data row6 col5\" >0.294600</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row6_col6\" class=\"data row6 col6\" >0.453900</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col0\" class=\"data row7 col0\" >Support Vector Machine</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col1\" class=\"data row7 col1\" >0.669600</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col2\" class=\"data row7 col2\" >0.774100</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.878300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col4\" class=\"data row7 col4\" >0.388900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col5\" class=\"data row7 col5\" >0.281300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row7_col6\" class=\"data row7 col6\" >0.444300</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col0\" class=\"data row8 col0\" >K Neighbors Regressor</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col1\" class=\"data row8 col1\" >0.702000</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col2\" class=\"data row8 col2\" >0.824300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col3\" class=\"data row8 col3\" >0.906900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col4\" class=\"data row8 col4\" >0.345900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col5\" class=\"data row8 col5\" >0.294900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row8_col6\" class=\"data row8 col6\" >0.470500</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col0\" class=\"data row9 col0\" >Bayesian Ridge</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col1\" class=\"data row9 col1\" >0.742300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col2\" class=\"data row9 col2\" >0.915300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col3\" class=\"data row9 col3\" >0.955300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col4\" class=\"data row9 col4\" >0.276400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col5\" class=\"data row9 col5\" >0.305200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row9_col6\" class=\"data row9 col6\" >0.499200</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col0\" class=\"data row10 col0\" >Linear Regression</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col1\" class=\"data row10 col1\" >0.742400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col2\" class=\"data row10 col2\" >0.915400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col3\" class=\"data row10 col3\" >0.955300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col4\" class=\"data row10 col4\" >0.276300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col5\" class=\"data row10 col5\" >0.305300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row10_col6\" class=\"data row10 col6\" >0.499100</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col0\" class=\"data row11 col0\" >Ridge Regression</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col1\" class=\"data row11 col1\" >0.742400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col2\" class=\"data row11 col2\" >0.915400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col3\" class=\"data row11 col3\" >0.955300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col4\" class=\"data row11 col4\" >0.276300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col5\" class=\"data row11 col5\" >0.305300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row11_col6\" class=\"data row11 col6\" >0.499100</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col0\" class=\"data row12 col0\" >Least Angle Regression</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col1\" class=\"data row12 col1\" >0.744300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col2\" class=\"data row12 col2\" >0.919800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col3\" class=\"data row12 col3\" >0.957700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col4\" class=\"data row12 col4\" >0.272500</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col5\" class=\"data row12 col5\" >0.306100</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row12_col6\" class=\"data row12 col6\" >0.500100</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col0\" class=\"data row13 col0\" >Huber Regressor</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col1\" class=\"data row13 col1\" >0.734300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col2\" class=\"data row13 col2\" >0.926300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col3\" class=\"data row13 col3\" >0.960700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col4\" class=\"data row13 col4\" >0.269200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col5\" class=\"data row13 col5\" >0.301700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row13_col6\" class=\"data row13 col6\" >0.474100</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col0\" class=\"data row14 col0\" >Random Sample Consensus</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col1\" class=\"data row14 col1\" >0.736200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col2\" class=\"data row14 col2\" >0.925900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col3\" class=\"data row14 col3\" >0.960700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col4\" class=\"data row14 col4\" >0.268700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col5\" class=\"data row14 col5\" >0.303400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row14_col6\" class=\"data row14 col6\" >0.474400</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col0\" class=\"data row15 col0\" >Orthogonal Matching Pursuit</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col1\" class=\"data row15 col1\" >0.756600</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col2\" class=\"data row15 col2\" >0.951100</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col3\" class=\"data row15 col3\" >0.973800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col4\" class=\"data row15 col4\" >0.248100</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col5\" class=\"data row15 col5\" >0.311400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row15_col6\" class=\"data row15 col6\" >0.513500</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col0\" class=\"data row16 col0\" >TheilSen Regressor</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col1\" class=\"data row16 col1\" >0.740800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col2\" class=\"data row16 col2\" >0.954100</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col3\" class=\"data row16 col3\" >0.975000</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col4\" class=\"data row16 col4\" >0.246800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col5\" class=\"data row16 col5\" >0.305300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row16_col6\" class=\"data row16 col6\" >0.477100</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col0\" class=\"data row17 col0\" >Decision Tree</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col1\" class=\"data row17 col1\" >0.744900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col2\" class=\"data row17 col2\" >0.964800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col3\" class=\"data row17 col3\" >0.981700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col4\" class=\"data row17 col4\" >0.226300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col5\" class=\"data row17 col5\" >0.343200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row17_col6\" class=\"data row17 col6\" >0.492000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col0\" class=\"data row18 col0\" >Elastic Net</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col1\" class=\"data row18 col1\" >0.867000</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col2\" class=\"data row18 col2\" >1.224900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col3\" class=\"data row18 col3\" >1.103600</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col4\" class=\"data row18 col4\" >0.038800</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col5\" class=\"data row18 col5\" >0.351500</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row18_col6\" class=\"data row18 col6\" >0.614000</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col0\" class=\"data row19 col0\" >Lasso Regression</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col1\" class=\"data row19 col1\" >0.887500</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col2\" class=\"data row19 col2\" >1.279700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col3\" class=\"data row19 col3\" >1.128200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col4\" class=\"data row19 col4\" >-0.004900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col5\" class=\"data row19 col5\" >0.359500</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row19_col6\" class=\"data row19 col6\" >0.628700</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col0\" class=\"data row20 col0\" >Lasso Least Angle Regression</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col1\" class=\"data row20 col1\" >0.887500</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col2\" class=\"data row20 col2\" >1.279700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col3\" class=\"data row20 col3\" >1.128200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col4\" class=\"data row20 col4\" >-0.004900</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col5\" class=\"data row20 col5\" >0.359500</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row20_col6\" class=\"data row20 col6\" >0.628700</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col0\" class=\"data row21 col0\" >Passive Aggressive Regressor</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col1\" class=\"data row21 col1\" >1.077700</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col2\" class=\"data row21 col2\" >1.901300</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col3\" class=\"data row21 col3\" >1.367200</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col4\" class=\"data row21 col4\" >-0.550400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col5\" class=\"data row21 col5\" >0.430400</td>\n",
              "                        <td id=\"T_ca77c67c_9dd7_11ea_9c0e_0242ac1c0002row21_col6\" class=\"data row21 col6\" >0.771700</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7ff8284be240>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 595
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aUU5PYHTnTwu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426,
          "referenced_widgets": [
            "af7fefb76bea4ae4b429ce3b8777a37b",
            "2d1fee10d70d40c1b97db7a8b199c28a",
            "f6c86db4c99d4c5ead0661286cd697fd"
          ]
        },
        "outputId": "9d19ad58-2bac-4ee9-c3a5-e8f8636b012b"
      },
      "source": [
        "model=create_model( \"lightgbm\")"
      ],
      "execution_count": 596,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<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>MAE</th>\n",
              "      <th>MSE</th>\n",
              "      <th>RMSE</th>\n",
              "      <th>R2</th>\n",
              "      <th>RMSLE</th>\n",
              "      <th>MAPE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.5733</td>\n",
              "      <td>0.5086</td>\n",
              "      <td>0.7131</td>\n",
              "      <td>0.5140</td>\n",
              "      <td>0.2559</td>\n",
              "      <td>0.4205</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.5998</td>\n",
              "      <td>0.5725</td>\n",
              "      <td>0.7566</td>\n",
              "      <td>0.4917</td>\n",
              "      <td>0.2600</td>\n",
              "      <td>0.3957</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.6229</td>\n",
              "      <td>0.6340</td>\n",
              "      <td>0.7962</td>\n",
              "      <td>0.5677</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.4313</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.5699</td>\n",
              "      <td>0.5200</td>\n",
              "      <td>0.7211</td>\n",
              "      <td>0.5855</td>\n",
              "      <td>0.2486</td>\n",
              "      <td>0.3867</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.5870</td>\n",
              "      <td>0.5457</td>\n",
              "      <td>0.7387</td>\n",
              "      <td>0.5587</td>\n",
              "      <td>0.2501</td>\n",
              "      <td>0.3947</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.5838</td>\n",
              "      <td>0.5568</td>\n",
              "      <td>0.7462</td>\n",
              "      <td>0.6398</td>\n",
              "      <td>0.2541</td>\n",
              "      <td>0.4004</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.5571</td>\n",
              "      <td>0.4833</td>\n",
              "      <td>0.6952</td>\n",
              "      <td>0.5645</td>\n",
              "      <td>0.2452</td>\n",
              "      <td>0.4028</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.5829</td>\n",
              "      <td>0.5294</td>\n",
              "      <td>0.7276</td>\n",
              "      <td>0.6441</td>\n",
              "      <td>0.2542</td>\n",
              "      <td>0.4180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.6087</td>\n",
              "      <td>0.5972</td>\n",
              "      <td>0.7728</td>\n",
              "      <td>0.5874</td>\n",
              "      <td>0.2627</td>\n",
              "      <td>0.4226</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.5900</td>\n",
              "      <td>0.5451</td>\n",
              "      <td>0.7383</td>\n",
              "      <td>0.4649</td>\n",
              "      <td>0.2548</td>\n",
              "      <td>0.4026</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mean</th>\n",
              "      <td>0.5875</td>\n",
              "      <td>0.5492</td>\n",
              "      <td>0.7406</td>\n",
              "      <td>0.5618</td>\n",
              "      <td>0.2552</td>\n",
              "      <td>0.4075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SD</th>\n",
              "      <td>0.0183</td>\n",
              "      <td>0.0417</td>\n",
              "      <td>0.0279</td>\n",
              "      <td>0.0554</td>\n",
              "      <td>0.0061</td>\n",
              "      <td>0.0138</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         MAE     MSE    RMSE      R2   RMSLE    MAPE\n",
              "0     0.5733  0.5086  0.7131  0.5140  0.2559  0.4205\n",
              "1     0.5998  0.5725  0.7566  0.4917  0.2600  0.3957\n",
              "2     0.6229  0.6340  0.7962  0.5677  0.2664  0.4313\n",
              "3     0.5699  0.5200  0.7211  0.5855  0.2486  0.3867\n",
              "4     0.5870  0.5457  0.7387  0.5587  0.2501  0.3947\n",
              "5     0.5838  0.5568  0.7462  0.6398  0.2541  0.4004\n",
              "6     0.5571  0.4833  0.6952  0.5645  0.2452  0.4028\n",
              "7     0.5829  0.5294  0.7276  0.6441  0.2542  0.4180\n",
              "8     0.6087  0.5972  0.7728  0.5874  0.2627  0.4226\n",
              "9     0.5900  0.5451  0.7383  0.4649  0.2548  0.4026\n",
              "Mean  0.5875  0.5492  0.7406  0.5618  0.2552  0.4075\n",
              "SD    0.0183  0.0417  0.0279  0.0554  0.0061  0.0138"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7XpGZh2NgGvw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426,
          "referenced_widgets": [
            "80ffa52753f84387a41c11bb11f75469",
            "2d6031856d68405290d38b27f93045e3",
            "c9a899b2a038460e84989f6a963a3935"
          ]
        },
        "outputId": "316352ad-8c43-4337-f9f3-bdc2ddace78b"
      },
      "source": [
        "tuned_mod=tune_model('lightgbm')"
      ],
      "execution_count": 597,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<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>MAE</th>\n",
              "      <th>MSE</th>\n",
              "      <th>RMSE</th>\n",
              "      <th>R2</th>\n",
              "      <th>RMSLE</th>\n",
              "      <th>MAPE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.5644</td>\n",
              "      <td>0.4911</td>\n",
              "      <td>0.7008</td>\n",
              "      <td>0.5307</td>\n",
              "      <td>0.2510</td>\n",
              "      <td>0.4181</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.5521</td>\n",
              "      <td>0.7430</td>\n",
              "      <td>0.5098</td>\n",
              "      <td>0.2544</td>\n",
              "      <td>0.3885</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.6294</td>\n",
              "      <td>0.6354</td>\n",
              "      <td>0.7971</td>\n",
              "      <td>0.5667</td>\n",
              "      <td>0.2658</td>\n",
              "      <td>0.4339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.5794</td>\n",
              "      <td>0.5375</td>\n",
              "      <td>0.7332</td>\n",
              "      <td>0.5715</td>\n",
              "      <td>0.2516</td>\n",
              "      <td>0.3944</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.5881</td>\n",
              "      <td>0.5451</td>\n",
              "      <td>0.7383</td>\n",
              "      <td>0.5592</td>\n",
              "      <td>0.2478</td>\n",
              "      <td>0.3940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.5950</td>\n",
              "      <td>0.5595</td>\n",
              "      <td>0.7480</td>\n",
              "      <td>0.6380</td>\n",
              "      <td>0.2545</td>\n",
              "      <td>0.4111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.5437</td>\n",
              "      <td>0.4629</td>\n",
              "      <td>0.6804</td>\n",
              "      <td>0.5829</td>\n",
              "      <td>0.2404</td>\n",
              "      <td>0.3993</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.6011</td>\n",
              "      <td>0.5629</td>\n",
              "      <td>0.7503</td>\n",
              "      <td>0.6215</td>\n",
              "      <td>0.2589</td>\n",
              "      <td>0.4310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.6043</td>\n",
              "      <td>0.5865</td>\n",
              "      <td>0.7658</td>\n",
              "      <td>0.5948</td>\n",
              "      <td>0.2613</td>\n",
              "      <td>0.4218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.5972</td>\n",
              "      <td>0.5443</td>\n",
              "      <td>0.7377</td>\n",
              "      <td>0.4657</td>\n",
              "      <td>0.2529</td>\n",
              "      <td>0.4033</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mean</th>\n",
              "      <td>0.5896</td>\n",
              "      <td>0.5477</td>\n",
              "      <td>0.7395</td>\n",
              "      <td>0.5641</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4095</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SD</th>\n",
              "      <td>0.0221</td>\n",
              "      <td>0.0448</td>\n",
              "      <td>0.0304</td>\n",
              "      <td>0.0489</td>\n",
              "      <td>0.0068</td>\n",
              "      <td>0.0153</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         MAE     MSE    RMSE      R2   RMSLE    MAPE\n",
              "0     0.5644  0.4911  0.7008  0.5307  0.2510  0.4181\n",
              "1     0.5932  0.5521  0.7430  0.5098  0.2544  0.3885\n",
              "2     0.6294  0.6354  0.7971  0.5667  0.2658  0.4339\n",
              "3     0.5794  0.5375  0.7332  0.5715  0.2516  0.3944\n",
              "4     0.5881  0.5451  0.7383  0.5592  0.2478  0.3940\n",
              "5     0.5950  0.5595  0.7480  0.6380  0.2545  0.4111\n",
              "6     0.5437  0.4629  0.6804  0.5829  0.2404  0.3993\n",
              "7     0.6011  0.5629  0.7503  0.6215  0.2589  0.4310\n",
              "8     0.6043  0.5865  0.7658  0.5948  0.2613  0.4218\n",
              "9     0.5972  0.5443  0.7377  0.4657  0.2529  0.4033\n",
              "Mean  0.5896  0.5477  0.7395  0.5641  0.2539  0.4095\n",
              "SD    0.0221  0.0448  0.0304  0.0489  0.0068  0.0153"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N9WresPoxtWr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426,
          "referenced_widgets": [
            "210ac61d314a492398db3d6432ddcfbe",
            "cff3fb25fc77407e9fbaaa11b4fad884",
            "124a0eb3d54142788cdba7276fad4925"
          ]
        },
        "outputId": "479fec3c-7abd-4e9b-f7b5-c302487661b0"
      },
      "source": [
        "tuned_mod2=tune_model('lightgbm',n_iter=30)"
      ],
      "execution_count": 598,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\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>MAE</th>\n",
              "      <th>MSE</th>\n",
              "      <th>RMSE</th>\n",
              "      <th>R2</th>\n",
              "      <th>RMSLE</th>\n",
              "      <th>MAPE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.5686</td>\n",
              "      <td>0.5007</td>\n",
              "      <td>0.7076</td>\n",
              "      <td>0.5215</td>\n",
              "      <td>0.2525</td>\n",
              "      <td>0.4170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.5960</td>\n",
              "      <td>0.5589</td>\n",
              "      <td>0.7476</td>\n",
              "      <td>0.5038</td>\n",
              "      <td>0.2563</td>\n",
              "      <td>0.3902</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.6217</td>\n",
              "      <td>0.6332</td>\n",
              "      <td>0.7957</td>\n",
              "      <td>0.5682</td>\n",
              "      <td>0.2656</td>\n",
              "      <td>0.4296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.5716</td>\n",
              "      <td>0.5184</td>\n",
              "      <td>0.7200</td>\n",
              "      <td>0.5867</td>\n",
              "      <td>0.2487</td>\n",
              "      <td>0.3915</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.5807</td>\n",
              "      <td>0.5334</td>\n",
              "      <td>0.7303</td>\n",
              "      <td>0.5686</td>\n",
              "      <td>0.2451</td>\n",
              "      <td>0.3865</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.5943</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>0.7468</td>\n",
              "      <td>0.6392</td>\n",
              "      <td>0.2536</td>\n",
              "      <td>0.4068</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.5437</td>\n",
              "      <td>0.4650</td>\n",
              "      <td>0.6819</td>\n",
              "      <td>0.5809</td>\n",
              "      <td>0.2413</td>\n",
              "      <td>0.3974</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.5908</td>\n",
              "      <td>0.5504</td>\n",
              "      <td>0.7419</td>\n",
              "      <td>0.6299</td>\n",
              "      <td>0.2563</td>\n",
              "      <td>0.4224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.6028</td>\n",
              "      <td>0.5872</td>\n",
              "      <td>0.7663</td>\n",
              "      <td>0.5943</td>\n",
              "      <td>0.2617</td>\n",
              "      <td>0.4210</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.5900</td>\n",
              "      <td>0.5352</td>\n",
              "      <td>0.7316</td>\n",
              "      <td>0.4746</td>\n",
              "      <td>0.2517</td>\n",
              "      <td>0.4003</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mean</th>\n",
              "      <td>0.5860</td>\n",
              "      <td>0.5440</td>\n",
              "      <td>0.7370</td>\n",
              "      <td>0.5668</td>\n",
              "      <td>0.2533</td>\n",
              "      <td>0.4063</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SD</th>\n",
              "      <td>0.0202</td>\n",
              "      <td>0.0438</td>\n",
              "      <td>0.0297</td>\n",
              "      <td>0.0501</td>\n",
              "      <td>0.0069</td>\n",
              "      <td>0.0145</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         MAE     MSE    RMSE      R2   RMSLE    MAPE\n",
              "0     0.5686  0.5007  0.7076  0.5215  0.2525  0.4170\n",
              "1     0.5960  0.5589  0.7476  0.5038  0.2563  0.3902\n",
              "2     0.6217  0.6332  0.7957  0.5682  0.2656  0.4296\n",
              "3     0.5716  0.5184  0.7200  0.5867  0.2487  0.3915\n",
              "4     0.5807  0.5334  0.7303  0.5686  0.2451  0.3865\n",
              "5     0.5943  0.5577  0.7468  0.6392  0.2536  0.4068\n",
              "6     0.5437  0.4650  0.6819  0.5809  0.2413  0.3974\n",
              "7     0.5908  0.5504  0.7419  0.6299  0.2563  0.4224\n",
              "8     0.6028  0.5872  0.7663  0.5943  0.2617  0.4210\n",
              "9     0.5900  0.5352  0.7316  0.4746  0.2517  0.4003\n",
              "Mean  0.5860  0.5440  0.7370  0.5668  0.2533  0.4063\n",
              "SD    0.0202  0.0438  0.0297  0.0501  0.0069  0.0145"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YPY4OvPUjjXB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426,
          "referenced_widgets": [
            "2913302054754e16968c1ab5b1ea0486",
            "5741a7cb1cca4e2db865ad18b58bdf5e",
            "a7bd7beb31f74ba59f18f64c052f00f9"
          ]
        },
        "outputId": "e797ab94-c6e1-4ad6-b5e0-55978d555549"
      },
      "source": [
        "ensembled_model=ensemble_model(tuned_mod, method = 'Boosting')\n"
      ],
      "execution_count": 599,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<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>MAE</th>\n",
              "      <th>MSE</th>\n",
              "      <th>RMSE</th>\n",
              "      <th>R2</th>\n",
              "      <th>RMSLE</th>\n",
              "      <th>MAPE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.5779</td>\n",
              "      <td>0.5139</td>\n",
              "      <td>0.7169</td>\n",
              "      <td>0.5089</td>\n",
              "      <td>0.2572</td>\n",
              "      <td>0.4319</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.6014</td>\n",
              "      <td>0.5585</td>\n",
              "      <td>0.7473</td>\n",
              "      <td>0.5041</td>\n",
              "      <td>0.2574</td>\n",
              "      <td>0.3998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.6284</td>\n",
              "      <td>0.6327</td>\n",
              "      <td>0.7954</td>\n",
              "      <td>0.5685</td>\n",
              "      <td>0.2680</td>\n",
              "      <td>0.4461</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.5752</td>\n",
              "      <td>0.5211</td>\n",
              "      <td>0.7219</td>\n",
              "      <td>0.5846</td>\n",
              "      <td>0.2503</td>\n",
              "      <td>0.3997</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.5883</td>\n",
              "      <td>0.5440</td>\n",
              "      <td>0.7375</td>\n",
              "      <td>0.5601</td>\n",
              "      <td>0.2521</td>\n",
              "      <td>0.4146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.5901</td>\n",
              "      <td>0.5335</td>\n",
              "      <td>0.7304</td>\n",
              "      <td>0.6549</td>\n",
              "      <td>0.2532</td>\n",
              "      <td>0.4172</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.5635</td>\n",
              "      <td>0.4908</td>\n",
              "      <td>0.7006</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>0.2463</td>\n",
              "      <td>0.4159</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.6085</td>\n",
              "      <td>0.5771</td>\n",
              "      <td>0.7597</td>\n",
              "      <td>0.6120</td>\n",
              "      <td>0.2656</td>\n",
              "      <td>0.4482</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.5930</td>\n",
              "      <td>0.5572</td>\n",
              "      <td>0.7465</td>\n",
              "      <td>0.6150</td>\n",
              "      <td>0.2572</td>\n",
              "      <td>0.4221</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.5947</td>\n",
              "      <td>0.5470</td>\n",
              "      <td>0.7396</td>\n",
              "      <td>0.4630</td>\n",
              "      <td>0.2551</td>\n",
              "      <td>0.4133</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mean</th>\n",
              "      <td>0.5921</td>\n",
              "      <td>0.5476</td>\n",
              "      <td>0.7396</td>\n",
              "      <td>0.5629</td>\n",
              "      <td>0.2563</td>\n",
              "      <td>0.4209</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SD</th>\n",
              "      <td>0.0173</td>\n",
              "      <td>0.0369</td>\n",
              "      <td>0.0246</td>\n",
              "      <td>0.0552</td>\n",
              "      <td>0.0063</td>\n",
              "      <td>0.0159</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         MAE     MSE    RMSE      R2   RMSLE    MAPE\n",
              "0     0.5779  0.5139  0.7169  0.5089  0.2572  0.4319\n",
              "1     0.6014  0.5585  0.7473  0.5041  0.2574  0.3998\n",
              "2     0.6284  0.6327  0.7954  0.5685  0.2680  0.4461\n",
              "3     0.5752  0.5211  0.7219  0.5846  0.2503  0.3997\n",
              "4     0.5883  0.5440  0.7375  0.5601  0.2521  0.4146\n",
              "5     0.5901  0.5335  0.7304  0.6549  0.2532  0.4172\n",
              "6     0.5635  0.4908  0.7006  0.5577  0.2463  0.4159\n",
              "7     0.6085  0.5771  0.7597  0.6120  0.2656  0.4482\n",
              "8     0.5930  0.5572  0.7465  0.6150  0.2572  0.4221\n",
              "9     0.5947  0.5470  0.7396  0.4630  0.2551  0.4133\n",
              "Mean  0.5921  0.5476  0.7396  0.5629  0.2563  0.4209\n",
              "SD    0.0173  0.0369  0.0246  0.0552  0.0063  0.0159"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NqLegNQJx3zN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        },
        "outputId": "1fbea011-520c-48ec-b8ae-233895bd3945"
      },
      "source": [
        "print(ensembled_model)"
      ],
      "execution_count": 600,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "AdaBoostRegressor(base_estimator=LGBMRegressor(boosting_type='gbdt',\n",
            "                                               class_weight=None,\n",
            "                                               colsample_bytree=1.0,\n",
            "                                               importance_type='split',\n",
            "                                               learning_rate=0.2, max_depth=20,\n",
            "                                               min_child_samples=20,\n",
            "                                               min_child_weight=0.001,\n",
            "                                               min_split_gain=0.7,\n",
            "                                               n_estimators=120, n_jobs=-1,\n",
            "                                               num_leaves=100, objective=None,\n",
            "                                               random_state=123, reg_alpha=0.6,\n",
            "                                               reg_lambda=0.7, silent=True,\n",
            "                                               subsample=1.0,\n",
            "                                               subsample_for_bin=200000,\n",
            "                                               subsample_freq=0),\n",
            "                  learning_rate=1.0, loss='linear', n_estimators=10,\n",
            "                  random_state=123)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SA7FFce3yG1J",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 378
        },
        "outputId": "7e45f5eb-f2dc-48c8-e235-2bf985ae7779"
      },
      "source": [
        "plot_model(ensembled_model, plot = 'error')"
      ],
      "execution_count": 601,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fR_UAJBGyOMW",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "outputId": "21ae8f37-d3d6-44b9-8243-3add56dfd0fa"
      },
      "source": [
        "predict_model(ensembled_model)"
      ],
      "execution_count": 602,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<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>Model</th>\n",
              "      <th>MAE</th>\n",
              "      <th>MSE</th>\n",
              "      <th>RMSE</th>\n",
              "      <th>R2</th>\n",
              "      <th>RMSLE</th>\n",
              "      <th>MAPE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ada Boost Regressor</td>\n",
              "      <td>0.6014</td>\n",
              "      <td>0.5474</td>\n",
              "      <td>0.7399</td>\n",
              "      <td>0.5756</td>\n",
              "      <td>0.2581</td>\n",
              "      <td>0.43</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 Model     MAE     MSE    RMSE      R2   RMSLE  MAPE\n",
              "0  Ada Boost Regressor  0.6014  0.5474  0.7399  0.5756  0.2581  0.43"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>ishol/week</th>\n",
              "      <th>group</th>\n",
              "      <th>name</th>\n",
              "      <th>unit_cogs</th>\n",
              "      <th>monthly_avg_FeelsLikeC</th>\n",
              "      <th>monthly_avg_HeatIndexC</th>\n",
              "      <th>monthly_avg_cloudcover</th>\n",
              "      <th>monthly_avg_humidity</th>\n",
              "      <th>quantity</th>\n",
              "      <th>Label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-0.398009</td>\n",
              "      <td>-1.114535</td>\n",
              "      <td>0.742330</td>\n",
              "      <td>-0.036464</td>\n",
              "      <td>0.945502</td>\n",
              "      <td>1.033787</td>\n",
              "      <td>-0.27851</td>\n",
              "      <td>-0.557923</td>\n",
              "      <td>2.197225</td>\n",
              "      <td>1.6983</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.312147</td>\n",
              "      <td>0.571349</td>\n",
              "      <td>1.252721</td>\n",
              "      <td>-0.086084</td>\n",
              "      <td>-1.119622</td>\n",
              "      <td>-0.597883</td>\n",
              "      <td>2.11547</td>\n",
              "      <td>2.383392</td>\n",
              "      <td>2.639057</td>\n",
              "      <td>1.9065</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-0.398009</td>\n",
              "      <td>0.571349</td>\n",
              "      <td>0.487135</td>\n",
              "      <td>-0.893843</td>\n",
              "      <td>-1.161503</td>\n",
              "      <td>-0.597883</td>\n",
              "      <td>0.91848</td>\n",
              "      <td>-0.389899</td>\n",
              "      <td>3.044522</td>\n",
              "      <td>2.3711</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-0.398009</td>\n",
              "      <td>-1.555539</td>\n",
              "      <td>0.997525</td>\n",
              "      <td>-0.416709</td>\n",
              "      <td>-0.682865</td>\n",
              "      <td>-0.597883</td>\n",
              "      <td>-0.27851</td>\n",
              "      <td>0.941642</td>\n",
              "      <td>2.484907</td>\n",
              "      <td>1.7207</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-0.398009</td>\n",
              "      <td>-1.114535</td>\n",
              "      <td>-1.044037</td>\n",
              "      <td>-0.586723</td>\n",
              "      <td>1.224708</td>\n",
              "      <td>1.033787</td>\n",
              "      <td>-0.27851</td>\n",
              "      <td>0.105138</td>\n",
              "      <td>2.708050</td>\n",
              "      <td>1.4902</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1727</th>\n",
              "      <td>-0.398009</td>\n",
              "      <td>-0.848891</td>\n",
              "      <td>1.252721</td>\n",
              "      <td>-0.133092</td>\n",
              "      <td>-0.682865</td>\n",
              "      <td>-0.597883</td>\n",
              "      <td>-0.27851</td>\n",
              "      <td>0.941642</td>\n",
              "      <td>1.945910</td>\n",
              "      <td>2.9085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1728</th>\n",
              "      <td>2.312147</td>\n",
              "      <td>-1.302049</td>\n",
              "      <td>1.252721</td>\n",
              "      <td>1.168254</td>\n",
              "      <td>-1.119622</td>\n",
              "      <td>-0.597883</td>\n",
              "      <td>2.11547</td>\n",
              "      <td>2.383392</td>\n",
              "      <td>2.014903</td>\n",
              "      <td>3.2151</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1729</th>\n",
              "      <td>-0.398009</td>\n",
              "      <td>0.571349</td>\n",
              "      <td>0.231939</td>\n",
              "      <td>-0.674471</td>\n",
              "      <td>-1.161503</td>\n",
              "      <td>-0.597883</td>\n",
              "      <td>0.91848</td>\n",
              "      <td>-0.389899</td>\n",
              "      <td>1.098612</td>\n",
              "      <td>2.0749</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1730</th>\n",
              "      <td>-0.398009</td>\n",
              "      <td>0.571349</td>\n",
              "      <td>-1.044037</td>\n",
              "      <td>0.373030</td>\n",
              "      <td>1.240662</td>\n",
              "      <td>1.033787</td>\n",
              "      <td>-1.47550</td>\n",
              "      <td>-0.978885</td>\n",
              "      <td>1.386294</td>\n",
              "      <td>1.4516</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1731</th>\n",
              "      <td>0.505376</td>\n",
              "      <td>1.067912</td>\n",
              "      <td>-1.299232</td>\n",
              "      <td>-0.334445</td>\n",
              "      <td>0.274412</td>\n",
              "      <td>-0.597883</td>\n",
              "      <td>-0.27851</td>\n",
              "      <td>-0.527209</td>\n",
              "      <td>1.791759</td>\n",
              "      <td>1.9856</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1732 rows × 10 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      ishol/week     group      name  ...  monthly_avg_humidity  quantity   Label\n",
              "0      -0.398009 -1.114535  0.742330  ...             -0.557923  2.197225  1.6983\n",
              "1       2.312147  0.571349  1.252721  ...              2.383392  2.639057  1.9065\n",
              "2      -0.398009  0.571349  0.487135  ...             -0.389899  3.044522  2.3711\n",
              "3      -0.398009 -1.555539  0.997525  ...              0.941642  2.484907  1.7207\n",
              "4      -0.398009 -1.114535 -1.044037  ...              0.105138  2.708050  1.4902\n",
              "...          ...       ...       ...  ...                   ...       ...     ...\n",
              "1727   -0.398009 -0.848891  1.252721  ...              0.941642  1.945910  2.9085\n",
              "1728    2.312147 -1.302049  1.252721  ...              2.383392  2.014903  3.2151\n",
              "1729   -0.398009  0.571349  0.231939  ...             -0.389899  1.098612  2.0749\n",
              "1730   -0.398009  0.571349 -1.044037  ...             -0.978885  1.386294  1.4516\n",
              "1731    0.505376  1.067912 -1.299232  ...             -0.527209  1.791759  1.9856\n",
              "\n",
              "[1732 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 602
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-Qxik-STyatk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "final_mod=finalize_model(ensembled_model)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fPxcBODPyuD2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "670d9932-6bb1-474d-e466-1cc2678ed043"
      },
      "source": [
        "save_model(final_mod,\"gb\")"
      ],
      "execution_count": 604,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Transformation Pipeline and Model Succesfully Saved\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VdmXNM3g03rt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}