06.1_tree_based_time_series_forecasting.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyNYn5jYfCz+zHs497gZrBjW"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["# Tree-based Time Series Forecasting\n","\n","Prepare a time series for tree-based supervised learning\n","\n","Data source: [HomeStead(US) Electricity Consumption](https://www.kaggle.com/datasets/unajtheb/homesteadus-electricity-consumption?resource=download) from Kaggle"],"metadata":{"id":"qnkpHcV1KsxK"}},{"cell_type":"code","source":["%matplotlib inline\n","from matplotlib import pyplot as plt\n","import pandas as pd\n","import numpy as np"],"metadata":{"id":"evrv7h4fM1Q3"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/gdrive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"DQZ5BIiOM1og","executionInfo":{"status":"ok","timestamp":1705698677408,"user_tz":300,"elapsed":1098,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"19c53523-9375-4279-83a3-ed8ac03b04fd"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"]}]},{"cell_type":"code","source":["path = '/content/gdrive/My Drive/data/time_series'\n","data = pd.read_csv(path + '/electric_consumption.csv')\n","data.tail()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":309},"id":"RRWY5xcmM5VF","executionInfo":{"status":"ok","timestamp":1705698678427,"user_tz":300,"elapsed":327,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"4ee05eba-48e7-4a29-ddf3-bac01b46d570"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                Date  Homestead_maxtempC  Homestead_mintempC  \\\n","22196  12/11/17 4:00                  19                   9   \n","22197  12/11/17 3:00                  19                   9   \n","22198  12/11/17 2:00                  19                   9   \n","22199  12/11/17 1:00                  19                   9   \n","22200  12/11/17 0:00                  19                   9   \n","\n","       Homestead_DewPointC  Homestead_FeelsLikeC  Homestead_HeatIndexC  \\\n","22196                    1                     7                    10   \n","22197                    2                     8                    10   \n","22198                    2                     8                    10   \n","22199                    2                     8                    10   \n","22200                    1                     8                    10   \n","\n","       Homestead_WindChillC  Homestead_WindGustKmph  Homestead_cloudcover  \\\n","22196                     7                      29                     0   \n","22197                     8                      29                     0   \n","22198                     8                      28                     0   \n","22199                     8                      28                     0   \n","22200                     8                      28                     0   \n","\n","       Homestead_humidity  Homestead_precipMM  Homestead_pressure  \\\n","22196                  54                 0.0                1024   \n","22197                  57                 0.0                1024   \n","22198                  56                 0.0                1024   \n","22199                  55                 0.0                1024   \n","22200                  55                 0.0                1024   \n","\n","       Homestead_tempC  Homestead_visibility  Homestead_winddirDegree  \\\n","22196               10                    10                      342   \n","22197               10                    10                      339   \n","22198               10                    10                      338   \n","22199               10                    10                      337   \n","22200               10                    10                      335   \n","\n","       Homestead_windspeedKmph  Consumption  \n","22196                       17           46  \n","22197                       16           52  \n","22198                       16           55  \n","22199                       16           56  \n","22200                       16           56  "],"text/html":["\n","  <div id=\"df-33a4c690-0e60-4a41-b854-ba15a6905285\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","   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<tr>\n","      <th>22196</th>\n","      <td>12/11/17 4:00</td>\n","      <td>19</td>\n","      <td>9</td>\n","      <td>1</td>\n","      <td>7</td>\n","      <td>10</td>\n","      <td>7</td>\n","      <td>29</td>\n","      <td>0</td>\n","      <td>54</td>\n","      <td>0.0</td>\n","      <td>1024</td>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>342</td>\n","      <td>17</td>\n","      <td>46</td>\n","    </tr>\n","    <tr>\n","      <th>22197</th>\n","      <td>12/11/17 3:00</td>\n","      <td>19</td>\n","      <td>9</td>\n","      <td>2</td>\n","      <td>8</td>\n","      <td>10</td>\n","      <td>8</td>\n","      <td>29</td>\n","      <td>0</td>\n","      <td>57</td>\n","      <td>0.0</td>\n","      <td>1024</td>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>339</td>\n","      <td>16</td>\n","      <td>52</td>\n","    </tr>\n","    <tr>\n","      <th>22198</th>\n","      <td>12/11/17 2:00</td>\n","      <td>19</td>\n","      <td>9</td>\n","      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<td>55</td>\n","      <td>0.0</td>\n","      <td>1024</td>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>335</td>\n","      <td>16</td>\n","      <td>56</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-33a4c690-0e60-4a41-b854-ba15a6905285')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    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 dtype='object')"]},"metadata":{},"execution_count":258}]},{"cell_type":"code","source":["data.dtypes"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"79LqrY0pRw77","executionInfo":{"status":"ok","timestamp":1705698680625,"user_tz":300,"elapsed":8,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"11c949d6-d9b4-4d87-87da-03267d907463"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Date                        object\n","Homestead_maxtempC           int64\n","Homestead_mintempC           int64\n","Homestead_DewPointC          int64\n","Homestead_FeelsLikeC         int64\n","Homestead_HeatIndexC         int64\n","Homestead_WindChillC         int64\n","Homestead_WindGustKmph       int64\n","Homestead_cloudcover         int64\n","Homestead_humidity           int64\n","Homestead_precipMM         float64\n","Homestead_pressure           int64\n","Homestead_tempC              int64\n","Homestead_visibility         int64\n","Homestead_winddirDegree      int64\n","Homestead_windspeedKmph      int64\n","Consumption                  int64\n","dtype: object"]},"metadata":{},"execution_count":259}]},{"cell_type":"code","source":["df = data[['Date','Consumption']].copy()\n","df.columns = ['date','y']\n","df[\"date\"] = pd.to_datetime(df[\"date\"])\n","df = df.sort_values(by='date')"],"metadata":{"id":"TvGZPumAKuv-"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["plt.figure(figsize=(10,4))\n","plt.plot(df['date'], df[\"y\"])\n","plt.xlabel(\"Date\")\n","plt.ylabel(\"Consumption\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":388},"id":"RnlE75GPRqcm","executionInfo":{"status":"ok","timestamp":1705698685182,"user_tz":300,"elapsed":729,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"529a7f13-a734-40ec-ecc3-472fafc6aeea"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":204},"id":"cmTNT_drNTB2","executionInfo":{"status":"ok","timestamp":1705698685183,"user_tz":300,"elapsed":256,"user":{"displayName":"Dr. 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-d0fec816-4039-4797-8613-7659b232ae7f\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d0fec816-4039-4797-8613-7659b232ae7f')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-d0fec816-4039-4797-8613-7659b232ae7f button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Please use Series.dt.isocalendar().week instead.\n","  df['week_of_year'] = df.date.dt.weekofyear\n"]},{"output_type":"execute_result","data":{"text/plain":["                     date   y   y-1   y-2   y-3   y-4  y-5  y-6  y-7  y-8  \\\n","22200 2017-12-11 00:00:00  56   NaN   NaN   NaN   NaN  NaN  NaN  NaN  NaN   \n","22199 2017-12-11 01:00:00  56  56.0   NaN   NaN   NaN  NaN  NaN  NaN  NaN   \n","22198 2017-12-11 02:00:00  55  56.0  56.0   NaN   NaN  NaN  NaN  NaN  NaN   \n","22197 2017-12-11 03:00:00  52  55.0  56.0  56.0   NaN  NaN  NaN  NaN  NaN   \n","22196 2017-12-11 04:00:00  46  52.0  55.0  56.0  56.0  NaN  NaN  NaN  NaN   \n","\n","       ...  year  quarter  hour_of_day  weekday  is_year_start  is_year_end  \\\n","22200  ...  2017        4            0        0              0            0   \n","22199  ...  2017        4            1        0              0            0   \n","22198  ...  2017        4            2        0              0            0   \n","22197  ...  2017        4            3        0              0            0   \n","22196  ...  2017        4            4        0              0            0   \n","\n","       is_month_start  is_month_end  is_quarter_start  is_quarter_end  \n","22200               0             0                 0               0  \n","22199               0             0                 0               0  \n","22198               0             0                 0               0  \n","22197               0             0                 0               0  \n","22196               0             0                 0               0  \n","\n","[5 rows x 42 columns]"],"text/html":["\n","  <div id=\"df-b56963a4-314c-4890-a8d2-23e9e08cff7a\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-e8b76e55-5e95-4a39-b029-3cba58d8f7e1\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e8b76e55-5e95-4a39-b029-3cba58d8f7e1')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-e8b76e55-5e95-4a39-b029-3cba58d8f7e1 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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'hour_of_day_18', 'hour_of_day_19', 'hour_of_day_20', 'hour_of_day_21',\n","       'hour_of_day_22', 'hour_of_day_23'],\n","      dtype='object', length=175)"]},"metadata":{},"execution_count":269}]},{"cell_type":"markdown","source":["### (1.3) Creating moving average variables"],"metadata":{"id":"px81-Epllevw"}},{"cell_type":"code","source":["def roll_mean_features(df, windows):\n","    df = df.copy()\n","    for window in windows:\n","        df['mv_' + str(window)] = df['y'].transform(\n","            lambda x: x.shift(1).rolling(window=window, min_periods=5, win_type=\"triang\").mean())\n","    return df\n","df = roll_mean_features(df, [6, 9, 12, 15, 18, 21, 24])\n","df.tail()"],"metadata":{"id":"tsDpga-PT_OG","colab":{"base_uri":"https://localhost:8080/","height":233},"executionInfo":{"status":"ok","timestamp":1705698702664,"user_tz":300,"elapsed":278,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"b76b28b6-7b39-48e5-ebac-a6bd1cdc151d"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                 date    y   y-1   y-2   y-3   y-4   y-5   y-6   y-7   y-8  \\\n","4 2020-06-25 13:00:00   73  67.0  66.0  67.0  66.0  67.0  70.0  73.0  79.0   \n","3 2020-06-25 14:00:00   82  73.0  67.0  66.0  67.0  66.0  67.0  70.0  73.0   \n","2 2020-06-25 15:00:00   74  82.0  73.0  67.0  66.0  67.0  66.0  67.0  70.0   \n","1 2020-06-25 16:00:00   99  74.0  82.0  73.0  67.0  66.0  67.0  66.0  67.0   \n","0 2020-06-25 17:00:00  103  99.0  74.0  82.0  73.0  67.0  66.0  67.0  66.0   \n","\n","   ...  hour_of_day_21  hour_of_day_22  hour_of_day_23       mv_6   mv_9  \\\n","4  ...               0               0               0  66.722222  69.68   \n","3  ...               0               0               0  66.888889  68.24   \n","2  ...               0               0               0  68.500000  68.24   \n","1  ...               0               0               0  71.388889  69.00   \n","0  ...               0               0               0  75.722222  71.36   \n","\n","       mv_12      mv_15      mv_18      mv_21      mv_24  \n","4  75.402778  83.015625  89.567901  94.000000  96.479167  \n","3  72.180556  79.109375  85.598765  91.008264  94.454861  \n","2  70.166667  76.000000  81.901235  87.925620  92.052083  \n","1  69.333333  73.609375  78.679012  84.851240  89.409722  \n","0  69.708333  72.343750  76.172840  82.140496  86.750000  \n","\n","[5 rows x 182 columns]"],"text/html":["\n","  <div id=\"df-e0184d8c-b3db-400b-809d-46d8acf39a2d\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" 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<td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>66.722222</td>\n","      <td>69.68</td>\n","      <td>75.402778</td>\n","      <td>83.015625</td>\n","      <td>89.567901</td>\n","      <td>94.000000</td>\n","      <td>96.479167</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2020-06-25 14:00:00</td>\n","      <td>82</td>\n","      <td>73.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>67.0</td>\n","      <td>70.0</td>\n","      <td>73.0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>66.888889</td>\n","      <td>68.24</td>\n","      <td>72.180556</td>\n","      <td>79.109375</td>\n","      <td>85.598765</td>\n","      <td>91.008264</td>\n","      <td>94.454861</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2020-06-25 15:00:00</td>\n","      <td>74</td>\n","      <td>82.0</td>\n","      <td>73.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>67.0</td>\n","      <td>70.0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>68.500000</td>\n","      <td>68.24</td>\n","      <td>70.166667</td>\n","      <td>76.000000</td>\n","      <td>81.901235</td>\n","      <td>87.925620</td>\n","      <td>92.052083</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2020-06-25 16:00:00</td>\n","      <td>99</td>\n","      <td>74.0</td>\n","      <td>82.0</td>\n","      <td>73.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>67.0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>71.388889</td>\n","      <td>69.00</td>\n","      <td>69.333333</td>\n","      <td>73.609375</td>\n","      <td>78.679012</td>\n","      <td>84.851240</td>\n","      <td>89.409722</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>2020-06-25 17:00:00</td>\n","      <td>103</td>\n","      <td>99.0</td>\n","      <td>74.0</td>\n","      <td>82.0</td>\n","      <td>73.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>75.722222</td>\n","      <td>71.36</td>\n","      <td>69.708333</td>\n","      <td>72.343750</td>\n","      <td>76.172840</td>\n","      <td>82.140496</td>\n","      <td>86.750000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 182 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e0184d8c-b3db-400b-809d-46d8acf39a2d')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            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69.333333  73.609375  78.679012   \n","0 2020-06-25 17:00:00  75.722222  71.36  69.708333  72.343750  76.172840   \n","\n","       mv_21      mv_24  \n","4  94.000000  96.479167  \n","3  91.008264  94.454861  \n","2  87.925620  92.052083  \n","1  84.851240  89.409722  \n","0  82.140496  86.750000  "],"text/html":["\n","  <div id=\"df-70949192-4ea6-4ef2-9ec9-197ea3e2458c\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>date</th>\n","      <th>mv_6</th>\n","      <th>mv_9</th>\n","      <th>mv_12</th>\n","      <th>mv_15</th>\n","      <th>mv_18</th>\n","      <th>mv_21</th>\n","    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<td>71.388889</td>\n","      <td>69.00</td>\n","      <td>69.333333</td>\n","      <td>73.609375</td>\n","      <td>78.679012</td>\n","      <td>84.851240</td>\n","      <td>89.409722</td>\n","    </tr>\n","    <tr>\n","      <th>0</th>\n","      <td>2020-06-25 17:00:00</td>\n","      <td>75.722222</td>\n","      <td>71.36</td>\n","      <td>69.708333</td>\n","      <td>72.343750</td>\n","      <td>76.172840</td>\n","      <td>82.140496</td>\n","      <td>86.750000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-70949192-4ea6-4ef2-9ec9-197ea3e2458c')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path 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split"],"metadata":{"id":"qpYS7sA-qy-y"}},{"cell_type":"code","source":["from datetime import timedelta\n","num_days = (df['date'].max() - df['date'].min()).days\n","oot = num_days*0.2 # reserve 20% for out-of-time\n","cutdate = df['date'].max() - timedelta(days = oot)"],"metadata":{"id":"WXaxjw4btQXi"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["train = df.loc[(df['date'] <= cutdate), :]\n","print(\"Training data: from\", train['date'].min(),\"to\", train['date'].max() )\n","\n","test = df.loc[(df['date'] > cutdate), :]\n","print(\"Test data: from\", test['date'].min(), \"to\", test['date'].max() )"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"m_awSX4MrFmA","executionInfo":{"status":"ok","timestamp":1705698707253,"user_tz":300,"elapsed":228,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"34bafde1-faa6-4567-f397-2c834b727d76"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Training data: from 2017-12-11 00:00:00 to 2019-12-23 07:00:00\n","Test data: from 2019-12-23 08:00:00 to 2020-06-25 17:00:00\n"]}]},{"cell_type":"code","source":["train.tail()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":233},"id":"_GZ50jw_swnd","executionInfo":{"status":"ok","timestamp":1705698708307,"user_tz":300,"elapsed":572,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"0bab4d07-de15-4c8e-9af6-67daeb2650d0"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                    date   y   y-1   y-2   y-3   y-4   y-5   y-6   y-7   y-8  \\\n","4431 2019-12-23 03:00:00  65  67.0  67.0  66.0  62.0  59.0  59.0  60.0  59.0   \n","4430 2019-12-23 04:00:00  62  65.0  67.0  67.0  66.0  62.0  59.0  59.0  60.0   \n","4429 2019-12-23 05:00:00  56  62.0  65.0  67.0  67.0  66.0  62.0  59.0  59.0   \n","4428 2019-12-23 06:00:00  50  56.0  62.0  65.0  67.0  67.0  66.0  62.0  59.0   \n","4427 2019-12-23 07:00:00  46  50.0  56.0  62.0  65.0  67.0  67.0  66.0  62.0   \n","\n","      ...  hour_of_day_21  hour_of_day_22  hour_of_day_23       mv_6   mv_9  \\\n","4431  ...               0               0               0  63.555556  61.40   \n","4430  ...               0               0               0  65.333333  62.64   \n","4429  ...               0               0               0  65.944444  63.76   \n","4428  ...               0               0               0  64.944444  64.20   \n","4427  ...               0               0               0  62.277778  63.68   \n","\n","          mv_12      mv_15      mv_18      mv_21      mv_24  \n","4431  60.361111  58.562500  56.154321  53.776860  52.222222  \n","4430  61.194444  59.781250  57.604938  55.148760  53.322917  \n","4429  62.069444  60.765625  58.901235  56.462810  54.506944  \n","4428  62.875000  61.484375  59.975309  57.652893  55.673611  \n","4427  63.250000  61.906250  60.759259  58.644628  56.753472  \n","\n","[5 rows x 182 columns]"],"text/html":["\n","  <div id=\"df-015bfcf1-d9d2-4f02-9069-f4ee97be9cb4\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>date</th>\n","      <th>y</th>\n","      <th>y-1</th>\n","      <th>y-2</th>\n","      <th>y-3</th>\n","      <th>y-4</th>\n","      <th>y-5</th>\n","      <th>y-6</th>\n","      <th>y-7</th>\n","      <th>y-8</th>\n","      <th>...</th>\n","      <th>hour_of_day_21</th>\n","      <th>hour_of_day_22</th>\n","      <th>hour_of_day_23</th>\n","      <th>mv_6</th>\n","      <th>mv_9</th>\n","      <th>mv_12</th>\n","      <th>mv_15</th>\n","      <th>mv_18</th>\n","      <th>mv_21</th>\n","      <th>mv_24</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>4431</th>\n","      <td>2019-12-23 03:00:00</td>\n","      <td>65</td>\n","      <td>67.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>62.0</td>\n","      <td>59.0</td>\n","      <td>59.0</td>\n","      <td>60.0</td>\n","      <td>59.0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>63.555556</td>\n","      <td>61.40</td>\n","      <td>60.361111</td>\n","      <td>58.562500</td>\n","      <td>56.154321</td>\n","      <td>53.776860</td>\n","      <td>52.222222</td>\n","    </tr>\n","    <tr>\n","      <th>4430</th>\n","      <td>2019-12-23 04:00:00</td>\n","      <td>62</td>\n","      <td>65.0</td>\n","      <td>67.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>62.0</td>\n","      <td>59.0</td>\n","      <td>59.0</td>\n","      <td>60.0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>65.333333</td>\n","      <td>62.64</td>\n","      <td>61.194444</td>\n","      <td>59.781250</td>\n","      <td>57.604938</td>\n","      <td>55.148760</td>\n","      <td>53.322917</td>\n","    </tr>\n","    <tr>\n","      <th>4429</th>\n","      <td>2019-12-23 05:00:00</td>\n","      <td>56</td>\n","      <td>62.0</td>\n","      <td>65.0</td>\n","      <td>67.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>62.0</td>\n","      <td>59.0</td>\n","      <td>59.0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>65.944444</td>\n","      <td>63.76</td>\n","      <td>62.069444</td>\n","      <td>60.765625</td>\n","      <td>58.901235</td>\n","      <td>56.462810</td>\n","      <td>54.506944</td>\n","    </tr>\n","    <tr>\n","      <th>4428</th>\n","      <td>2019-12-23 06:00:00</td>\n","      <td>50</td>\n","      <td>56.0</td>\n","      <td>62.0</td>\n","      <td>65.0</td>\n","      <td>67.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>62.0</td>\n","      <td>59.0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>64.944444</td>\n","      <td>64.20</td>\n","      <td>62.875000</td>\n","      <td>61.484375</td>\n","      <td>59.975309</td>\n","      <td>57.652893</td>\n","      <td>55.673611</td>\n","    </tr>\n","    <tr>\n","      <th>4427</th>\n","      <td>2019-12-23 07:00:00</td>\n","      <td>46</td>\n","      <td>50.0</td>\n","      <td>56.0</td>\n","      <td>62.0</td>\n","      <td>65.0</td>\n","      <td>67.0</td>\n","      <td>67.0</td>\n","      <td>66.0</td>\n","      <td>62.0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>62.277778</td>\n","      <td>63.68</td>\n","      <td>63.250000</td>\n","      <td>61.906250</td>\n","      <td>60.759259</td>\n","      <td>58.644628</td>\n","      <td>56.753472</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 182 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-015bfcf1-d9d2-4f02-9069-f4ee97be9cb4')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  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Will use it instead of argument\n","  _log_warning(f\"Found `{alias}` in params. Will use it instead of argument\")\n"]},{"output_type":"stream","name":"stdout","text":["[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n","[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n"]}]},{"cell_type":"markdown","source":["### (2.3) Forecasting"],"metadata":{"id":"HQmWEfvVJMU2"}},{"cell_type":"code","source":["from sklearn.metrics import mean_absolute_percentage_error\n","y_pred_train = model.predict(X_train)\n","y_pred_test = model.predict(X_test)\n","mean_absolute_percentage_error(Y_test, y_pred_test)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_cz_7LIDwX_4","executionInfo":{"status":"ok","timestamp":1705700571536,"user_tz":300,"elapsed":5010,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"94709f35-8ce9-4a8d-cefc-af0171b16b2b"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.019042954742338802"]},"metadata":{},"execution_count":296}]},{"cell_type":"code","source":["X_test.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bHoeA78ZPuow","executionInfo":{"status":"ok","timestamp":1705698731874,"user_tz":300,"elapsed":33,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"379e494d-5f7d-4c50-d158-0eb2a81d0756"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(4427, 180)"]},"metadata":{},"execution_count":283}]},{"cell_type":"code","source":["X_train.columns[0:30]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"o8yLRRnGP5FJ","executionInfo":{"status":"ok","timestamp":1705698731874,"user_tz":300,"elapsed":31,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"c1354835-6e81-4448-9548-38e6cc345f2a"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['y-1', 'y-2', 'y-3', 'y-4', 'y-5', 'y-6', 'y-7', 'y-8', 'y-9', 'y-10',\n","       'y-11', 'y-12', 'y-13', 'y-14', 'y-15', 'y-16', 'y-17', 'y-18', 'y-19',\n","       'y-20', 'y-21', 'y-22', 'y-23', 'y-24', 'y-25', 'day_of_year',\n","       'is_year_start', 'is_year_end', 'is_month_start', 'is_month_end'],\n","      dtype='object')"]},"metadata":{},"execution_count":284}]},{"cell_type":"code","source":["[len(Y_test), len(y_pred_test)]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pbLUPB64NZVw","executionInfo":{"status":"ok","timestamp":1705698731874,"user_tz":300,"elapsed":27,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"3a2ca96a-b1ba-44fc-f4ba-286e9cbdda67"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[4427, 4427]"]},"metadata":{},"execution_count":285}]},{"cell_type":"code","source":["print(\"train: \",[len(y_pred_train), len(Y_train)])\n","print(\"test: \",[len(y_pred_test), len(Y_test)])"],"metadata":{"id":"Bqg6yUqizAbh","executionInfo":{"status":"ok","timestamp":1705698731874,"user_tz":300,"elapsed":23,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"f4a48810-fc5f-45ad-82ae-4c0c18c70d03","colab":{"base_uri":"https://localhost:8080/"}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["train:  [17774, 17774]\n","test:  [4427, 4427]\n"]}]},{"cell_type":"code","source":["train_pred = train.copy()\n","train_pred['y_pred_train'] = y_pred_train\n","\n","test_pred = test.copy()\n","test_pred['y_pred_test'] = y_pred_test\n","\n","[train_pred.shape, test_pred.shape]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"PO98NRResY8b","executionInfo":{"status":"ok","timestamp":1705698731874,"user_tz":300,"elapsed":20,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"f828e10b-a10e-49e5-c9ab-66563ee88add"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[(17774, 183), (4427, 183)]"]},"metadata":{},"execution_count":287}]},{"cell_type":"code","source":["actual_pred = pd.concat([train_pred, test_pred], axis=0)\n","actual_pred.shape"],"metadata":{"id":"DFEkH2XLzCgh","executionInfo":{"status":"ok","timestamp":1705698731874,"user_tz":300,"elapsed":16,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"7a6b3e80-a5b1-48b7-b678-bd75c86b8ed7","colab":{"base_uri":"https://localhost:8080/"}},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(22201, 184)"]},"metadata":{},"execution_count":288}]},{"cell_type":"code","source":["plt.figure(figsize=(10,4))\n","plt.plot(actual_pred['date'], actual_pred[[\"y\",'y_pred_train', 'y_pred_test']])\n","plt.xlabel(\"Date\")\n","plt.ylabel(\"Actual vs. Predictions\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":388},"id":"qFlh6yiPCEm_","executionInfo":{"status":"ok","timestamp":1705698732213,"user_tz":300,"elapsed":351,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"443e2d14-8ebd-4db6-dccf-6eeed0a73e31"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["### (2.4) Variable Explanations"],"metadata":{"id":"Pv6kM9x_JPjY"}},{"cell_type":"code","source":["lgb.plot_importance(model, max_num_features=20, figsize=(10, 10), importance_type=\"gain\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":872},"id":"z25pVTtRBx2P","executionInfo":{"status":"ok","timestamp":1705699331340,"user_tz":300,"elapsed":1615,"user":{"displayName":"Dr. Dataman","userId":"14648496304343042559"}},"outputId":"8c0c711f-1c5c-4a32-b9bd-ba6d11c537a0"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x1000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"0KHS_TGUgrew"},"execution_count":null,"outputs":[]}]}