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project_timeseries_xgboost.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/EvanMarie/d85714009077433cab35c46bc44d7a8b/project_timeseries_xgboost.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"id": "4a24b847-3ec5-49ef-b03d-75f73467496f",
"metadata": {
"id": "4a24b847-3ec5-49ef-b03d-75f73467496f"
},
"source": [
"<a name=\"top\"></a>\n",
"\n",
"---\n",
"\n",
"**Sections:** ● [Top](#top) ● [The Data](#data) ● [Feature Engineering](#features) ● [Investigating Correlation](#correlation) ● [Lag Features](#lag_features) ● [Splitting](#splitting) ● [The Model](#model) ● [Results with Traditional Split](#traditional_results) ● [Using Cross-Validation](#cross_validation) ● [Making Future Predictions](#future_predictions) \n",
"\n",
"---\n",
"\n",
"\n",
"<center><img src = \"http://www.evanmarie.com/content/files/notebook_images/xgboost_banner.png\" width = 900></center>\n",
"\n",
"\n",
"<font size = 4>\n",
"\n",
"**Evan Marie online**: \n",
"[EvanMarie@Proton.me](mailto:evanmarie@proton.me) | [Linked In](https://www.linkedin.com/in/evanmarie/) | [GitHub](https://github.com/EvanMarie) | [Hugging Face](https://huggingface.co/EvanMarie) | [Mastadon](https://sigmoid.social/@EvanMarie) |\n",
"[Jovian.ai](https://jovian.ai/evanmarie) | [TikTok](https://www.tiktok.com/@evanmarie_123) | [CodeWars](https://www.codewars.com/users/EvanMarie) | Discord ⇨ ✨ EvanMarie ✨#6114"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3754f5b8-86ea-4f38-8f15-4d046d014abd",
"metadata": {
"id": "3754f5b8-86ea-4f38-8f15-4d046d014abd"
},
"outputs": [],
"source": [
"from helpers import *\n",
"import_all()\n",
"from xgboost import XGBRegressor\n",
"%matplotlib inline\n",
"import seaborn as sns\n",
"from sklearn.metrics import mean_squared_error\n",
"from sklearn.model_selection import TimeSeriesSplit"
]
},
{
"cell_type": "markdown",
"id": "88658df7-e5e3-41c0-9165-18041397feb9",
"metadata": {
"id": "88658df7-e5e3-41c0-9165-18041397feb9"
},
"source": [
"<a name=\"data\"></a>\n",
"\n",
"---\n",
"\n",
"**Sections:** ● [Top](#top) ● [The Data](#data) ● [Feature Engineering](#features) ● [Investigating Correlation](#correlation) ● [Lag Features](#lag_features) ● [Splitting](#splitting) ● [The Model](#model) ● [Results with Traditional Split](#traditional_results) ● [Using Cross-Validation](#cross_validation) ● [Making Future Predictions](#future_predictions) \n",
"\n",
"---\n",
"\n",
"<span style = 'background-color: purple; padding: 5px 5px 3px 5px; line-height: 1.5; color:white;border-radius: 3px;'><font size = 4>**The Data**</font></span>\n",
"* This data is an excerpt from a [**Kaggle maintained and regularly update dataset collection**](https://www.kaggle.com/datasets/albertovidalrod/electricity-consumption-uk-20092022?select=historic_demand_2009_2022_noNaN.csv)\n",
"* The dataset reflects the energy consumption as reported by the National Grid ESO, Great Britain's electricity system operator\n",
"* Consumption is recorded twice an hour\n",
"* The data covers January 1, 2009 to December 31, 2022"
]
},
{
"cell_type": "markdown",
"id": "e8bab160-b50a-4644-95d9-f8638b2dfb9f",
"metadata": {
"tags": [],
"id": "e8bab160-b50a-4644-95d9-f8638b2dfb9f"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Importing Data**\n",
"\t"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "aaaee5b8-6fea-4908-a24a-99ce2d942c4a",
"metadata": {
"id": "aaaee5b8-6fea-4908-a24a-99ce2d942c4a",
"outputId": "6c9cf4a1-6744-4549-e6cb-4aa474c5168c"
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"outputs": [
{
"data": {
"text/html": [
"<span style = 'display: block; width: 250.0px; \t\t\t\t\t\tline-height: 2; background: #333333;\t\t\t\t\t\tmargin-left: auto; margin-right: auto;\t\t\t\t\t\tborder: 1px solid text_color;\t\t\t\t\t\tborder-radius: 3px; text-align: center;\t\t\t\t\t\tpadding: 3px 8px 3px 8px;'>\t\t\t\t\t\t<b><font size=4><text style=color:white>UK Power Consumption Data\t\t\t\t\t\t</text></font></b></style>"
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"<center><style type=\"text/css\">\n",
"#T_f6405 caption {\n",
" background: #333333;\n",
" border-radius: 3px;\n",
" padding: 5px;\n",
" color: white;\n",
" font-size: 12px;\n",
" font-weight: bold;\n",
"}\n",
"</style>\n",
"<table id=\"T_f6405\" style='display:inline-block'>\n",
" <caption>head(5)</caption>\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th id=\"T_f6405_level0_col0\" class=\"col_heading level0 col0\" >consumption</th>\n",
" <th id=\"T_f6405_level0_col1\" class=\"col_heading level0 col1\" >holiday</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"index_name level0\" >datetime</th>\n",
" <th class=\"blank col0\" >&nbsp;</th>\n",
" <th class=\"blank col1\" >&nbsp;</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_f6405_level0_row0\" class=\"row_heading level0 row0\" >2009-01-01 00:00:00</th>\n",
" <td id=\"T_f6405_row0_col0\" class=\"data row0 col0\" >38,704</td>\n",
" <td id=\"T_f6405_row0_col1\" class=\"data row0 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_f6405_level0_row1\" class=\"row_heading level0 row1\" >2009-01-01 00:30:00</th>\n",
" <td id=\"T_f6405_row1_col0\" class=\"data row1 col0\" >38,964</td>\n",
" <td id=\"T_f6405_row1_col1\" class=\"data row1 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_f6405_level0_row2\" class=\"row_heading level0 row2\" >2009-01-01 01:00:00</th>\n",
" <td id=\"T_f6405_row2_col0\" class=\"data row2 col0\" >38,651</td>\n",
" <td id=\"T_f6405_row2_col1\" class=\"data row2 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_f6405_level0_row3\" class=\"row_heading level0 row3\" >2009-01-01 01:30:00</th>\n",
" <td id=\"T_f6405_row3_col0\" class=\"data row3 col0\" >37,775</td>\n",
" <td id=\"T_f6405_row3_col1\" class=\"data row3 col1\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_f6405_level0_row4\" class=\"row_heading level0 row4\" >2009-01-01 02:00:00</th>\n",
" <td id=\"T_f6405_row4_col0\" class=\"data row4 col0\" >37,298</td>\n",
" <td id=\"T_f6405_row4_col1\" class=\"data row4 col1\" >1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"&nbsp;&nbsp;&nbsp;<style type=\"text/css\">\n",
"#T_d2719 caption {\n",
" background: #333333;\n",
" border-radius: 3px;\n",
" padding: 5px;\n",
" color: white;\n",
" font-size: 12px;\n",
" font-weight: bold;\n",
"}\n",
"</style>\n",
"<table id=\"T_d2719\" style='display:inline-block'>\n",
" <caption>tail(5)</caption>\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th id=\"T_d2719_level0_col0\" class=\"col_heading level0 col0\" >consumption</th>\n",
" <th id=\"T_d2719_level0_col1\" class=\"col_heading level0 col1\" >holiday</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"index_name level0\" >datetime</th>\n",
" <th class=\"blank col0\" >&nbsp;</th>\n",
" <th class=\"blank col1\" >&nbsp;</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_d2719_level0_row0\" class=\"row_heading level0 row0\" >2022-12-31 21:30:00</th>\n",
" <td id=\"T_d2719_row0_col0\" class=\"data row0 col0\" >25,634</td>\n",
" <td id=\"T_d2719_row0_col1\" class=\"data row0 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_d2719_level0_row1\" class=\"row_heading level0 row1\" >2022-12-31 22:00:00</th>\n",
" <td id=\"T_d2719_row1_col0\" class=\"data row1 col0\" >24,788</td>\n",
" <td id=\"T_d2719_row1_col1\" class=\"data row1 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_d2719_level0_row2\" class=\"row_heading level0 row2\" >2022-12-31 22:30:00</th>\n",
" <td id=\"T_d2719_row2_col0\" class=\"data row2 col0\" >24,365</td>\n",
" <td id=\"T_d2719_row2_col1\" class=\"data row2 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_d2719_level0_row3\" class=\"row_heading level0 row3\" >2022-12-31 23:00:00</th>\n",
" <td id=\"T_d2719_row3_col0\" class=\"data row3 col0\" >24,766</td>\n",
" <td id=\"T_d2719_row3_col1\" class=\"data row3 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_d2719_level0_row4\" class=\"row_heading level0 row4\" >2022-12-31 23:30:00</th>\n",
" <td id=\"T_d2719_row4_col0\" class=\"data row4 col0\" >24,843</td>\n",
" <td id=\"T_d2719_row4_col1\" class=\"data row4 col1\" >0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"&nbsp;&nbsp;&nbsp;"
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"name": "stdout",
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"text": [
"\n"
]
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],
"source": [
"data = pd.read_csv('uk_power_consumption.csv', parse_dates = ['settlement_date'])\n",
"data = data[['settlement_date', 'tsd', 'is_holiday']]\n",
"data.columns = ['datetime', 'consumption', 'holiday']\n",
"data = data.set_index('datetime', drop=True)\n",
"\n",
"\n",
"head_tail_horz(data, 5, \"UK Power Consumption Data\", intraday = True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "28bc46ac-20ba-44c3-91c4-c0fb08334c95",
"metadata": {
"id": "28bc46ac-20ba-44c3-91c4-c0fb08334c95"
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"outputs": [],
"source": [
"def timeseries_overview(df, main_col):\n",
"\tindex_col = ['number of records', 'number of columns', \n",
"\t\t\t\t 'missing values', 'columns', 'start date',\n",
"\t\t\t\t'end date', 'main column min', 'main column max']\n",
"\t\n",
"\tnum_records = df.shape[0]\n",
"\tnum_cols = df.shape[1]\n",
"\tmissing_values = df.isna().sum().sum()\n",
"\tcolumns = ', '.join(list(df.columns))\n",
"\tstart_date = min(df.index).strftime('%m/%d/%Y')\n",
"\tend_date = max(df.index).strftime('%m/%d/%Y')\n",
"\tmain_min = min(df[main_col])\n",
"\tmain_max = max(df[main_col])\n",
"\t\n",
"\tvalues = [num_records, num_cols, missing_values, \n",
"\t\t\t columns, start_date, end_date, main_min, main_max]\n",
"\t\n",
"\toverview = pd.concat([pd.Series(index_col), pd.Series(values)], axis = 1)\n",
"\toverview.columns = ['aspects', 'information']\n",
"\toverview.set_index('aspects')\n",
"\t\n",
"\tstyling = {'information': [{'selector': '',\n",
"\t\t\t\t\t\t\t 'props': [('font-size', '15px'),\n",
"\t\t\t\t\t\t\t\t\t('padding-right', '15px'),\n",
"\t\t\t\t\t\t\t\t\t('padding-left', '35px')]}],\n",
"\t\t\t 'aspects': [{'selector': '',\n",
"\t\t\t\t\t\t 'props': [('font-weight', 'bold'),\n",
"\t\t\t\t\t\t\t\t ('font-size', '15px'),\n",
"\t\t\t\t\t\t\t\t ('padding-right', '15px'),\n",
"\t\t\t\t\t\t\t\t ('padding-left', '15px')]}]}\n",
"\t\n",
"\tpretty('Initial DataFrame Overview', fontsize=4)\n",
"\t\n",
"\treturn overview.style\\\n",
"\t\t\t\t .hide(axis='index')\\\n",
"\t\t\t\t .set_table_styles(styling)\\\n",
"\t\t\t\t .format(precision=0, thousands=\",\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "116cc88b-d92f-43a6-a0cc-8f895069a959",
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"id": "116cc88b-d92f-43a6-a0cc-8f895069a959",
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{
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"<span style = 'line-height: 2; background: #444444; width: None; border: 1px solid text_color; border-radius: 0px; text-align: center; padding: 5px;'> <b><font size=4><text style=color:white>Initial DataFrame Overview </text></font></b></style>"
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"text/html": [
"<style type=\"text/css\">\n",
"#T_eefce .col1 {\n",
" font-size: 15px;\n",
" padding-right: 15px;\n",
" padding-left: 35px;\n",
"}\n",
"#T_eefce .col0 {\n",
" font-weight: bold;\n",
" font-size: 15px;\n",
" padding-right: 15px;\n",
" padding-left: 15px;\n",
"}\n",
"</style>\n",
"<table id=\"T_eefce\">\n",
" <thead>\n",
" <tr>\n",
" <th id=\"T_eefce_level0_col0\" class=\"col_heading level0 col0\" >aspects</th>\n",
" <th id=\"T_eefce_level0_col1\" class=\"col_heading level0 col1\" >information</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td id=\"T_eefce_row0_col0\" class=\"data row0 col0\" >number of records</td>\n",
" <td id=\"T_eefce_row0_col1\" class=\"data row0 col1\" >244,676</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_eefce_row1_col0\" class=\"data row1 col0\" >number of columns</td>\n",
" <td id=\"T_eefce_row1_col1\" class=\"data row1 col1\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_eefce_row2_col0\" class=\"data row2 col0\" >missing values</td>\n",
" <td id=\"T_eefce_row2_col1\" class=\"data row2 col1\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_eefce_row3_col0\" class=\"data row3 col0\" >columns</td>\n",
" <td id=\"T_eefce_row3_col1\" class=\"data row3 col1\" >consumption, holiday</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_eefce_row4_col0\" class=\"data row4 col0\" >start date</td>\n",
" <td id=\"T_eefce_row4_col1\" class=\"data row4 col1\" >01/01/2009</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_eefce_row5_col0\" class=\"data row5 col0\" >end date</td>\n",
" <td id=\"T_eefce_row5_col1\" class=\"data row5 col1\" >12/31/2022</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_eefce_row6_col0\" class=\"data row6 col0\" >main column min</td>\n",
" <td id=\"T_eefce_row6_col1\" class=\"data row6 col1\" >16,629</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_eefce_row7_col0\" class=\"data row7 col0\" >main column max</td>\n",
" <td id=\"T_eefce_row7_col1\" class=\"data row7 col1\" >60,147</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
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"metadata": {},
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"source": [
"timeseries_overview(data, 'consumption')"
]
},
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"cell_type": "markdown",
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"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Initial Plotting**\n",
"\t"
]
},
{
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"id": "1148e413-fcc7-4bcd-84d9-aa93667b7edc",
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"colors = sns.color_palette('husl', 11)\n",
"colors"
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\n",
"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(facecolor = '#333333', figsize = (13,7));\n",
"ax = plt.axes();\n",
"ax.set_facecolor('#444444')\n",
"data['consumption'].plot(color = colors[9], \n",
"\t\t ax = ax);\n",
"ax.grid()\n",
"plt.xlabel('years', color = 'white', fontsize = 15)\n",
"plt.ylabel('energy usage', color = 'white', fontsize = 15)\n",
"plt.xticks(color='white'); plt.yticks(color='white');\n",
"plt.title('Energy Consumption in the UK: 2009-20022', fontsize = 20, \n",
"\t\t pad = 20, color = 'white');"
]
},
{
"cell_type": "markdown",
"id": "ede28d56-7af2-417a-beee-c0d5b42a83f2",
"metadata": {
"id": "ede28d56-7af2-417a-beee-c0d5b42a83f2"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Looking at a Single Week of Data**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5f438495-7817-400e-be19-0d850f7ed199",
"metadata": {
"id": "5f438495-7817-400e-be19-0d850f7ed199",
"outputId": "8244b4aa-90c5-4367-8316-53bc4eb5479c"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize = (13, 7), facecolor = '#333333')\n",
"ax.set_facecolor('#444444')\n",
"data['consumption'].iloc[(data.index > '01-23-2013') \\\n",
"\t\t & (data.index < '01-30-2013')].plot(ax = ax, linewidth = 3, color = 'cyan')\n",
"ax.grid()\n",
"plt.xlabel('dates', color = 'white', fontsize = 15)\n",
"plt.ylabel('energy usage', color = 'white', fontsize = 15)\n",
"plt.tick_params(labelcolor = 'white', which = 'both')\n",
"plt.title('Energy Usage: January 23-30, 2013', fontsize = 20, \n",
"\t\t pad = 20, color = 'white');\n",
"plt.legend().remove()"
]
},
{
"cell_type": "markdown",
"id": "c171fc02-01db-425c-86ff-dc88fb73b253",
"metadata": {
"id": "c171fc02-01db-425c-86ff-dc88fb73b253"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Distribution of Energy Use Values**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ab1997c1-6d72-4a59-9de1-e5b3b002044c",
"metadata": {
"id": "ab1997c1-6d72-4a59-9de1-e5b3b002044c",
"outputId": "1ecdfe13-54de-46fd-b309-659ce72313ee"
},
"outputs": [
{
"data": {
"image/png": 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Um5ursLAwbdq0SVLhVJvg4GAtWrRIkhQbGysfHx+FhIRY1ykJCQmRj4+PYmNjy3z+4rvmFJeXl1dl5wjnYDabC8OvHEnZZQy8ynOTnKnGGXvi3Or1uRmyC2Rwsp742XJurnZuNX4d1eC51XiNM/bkqueWI8lgkNlsdpk3Tbm5uS7TK+CsXPk6qsh7dqcMSry9vRUUFGT9ulWrVurUqZPS09N18uRJffjhh4qIiNDhw4f1119/KSIiQtnZ2Vq/fr0k6ezZs1qzZo2mTJmi9PR0ZWRkaPLkyTpw4IBiYmIkSX/++ae2bdumGTNmaO7cuZIKp+9ER0fr0KFDNX/SAAAAAACg1jllUNKlSxe9+eab1q8ff/xxSdKXX36p2bNna+XKlTIajXrqqafk4+Oj+Ph4TZw4UVlZWdb7LFiwQGazWS+88IK8vLwUExOj2bNnKz8/31ozc+ZMTZs2Ta+//rokKTo6WvPmzauhswQAAAAAAM7GKYOSn3/+WVdccYXNmqVLl2rp0qVlHs/JydH8+fM1f/78MmsyMjL09NNPO9wnAAAAAACoW5wyKAEAAADg/IpPly9Nenq6kpKSaqgbAKgaBCUAAAAAKqZ5Q8mcr8jISJtl589lK2LcWMISAC6FoAQAAABAxZiMkoe7NGGDlJBWek1HXxmXDJLJZCIoAeBSCEoAAAAAOCYhTYolBAFQtxCUAAAAAKg2rGMCwNUQlKDeCggIkMlkuuB2Dw8PSVLr1q1ruiUAAIC6g3VMALgoghLUSwEBAVqxPEpGb68LjuXm5uqrr77S1KlTa6EzAACAOoJ1TAC4KIIS1Esmk6kwJCntH+4GkiZ4Sf+Kkf6vb630BwAAUGewjgkAF0NQgvqttH+4vdwktZaOnqmVlgAAAAAAtce9thsAAAAAAABwFowoAQAAAFCrytsZR2J3HAA1h6AEAAAAQO2wc2ccid1xANQcghIAAAAAtcOenXEkdscBUKMISgAAAADULnbGAeBEWMwVAAAAAADAgqAEAAAAAADAgqAEAAAAAADAgqAEAAAAAADAgqAEAAAAAADAgqAEAAAAAADAgu2BAQAAANQJAQEBMplMJW7z8PCQJLVv315ms1np6elKSmIrYgBlIygBAAAA4BKCgoLKPObr66tnnp6lBl7GErfn5ubqq6++0sKFC2UwGHT+XLYixo0lLAFQJoISAAAAAM6teUPJnK/IyMjyaydskBLS/vd1A0kTvKRbVkttfWVcMkgmk4mgBECZCEoAAAAAODeTUfJwvzAEKW5gG2lGn8LjscVCEC83Sa2l+GQpp0a6BeDiCEoAAAAAuIa/hyDFdfS1+2FsTeGRxDomQD1HUAIAAACgfrBzCg/rmAD1G0EJAAAAgPrBnik8HVnHBKjvCEoAAAAA1C+2pvAAqPfca7sBAAAAAAAAZ8GIEgAAAAD4GxZ8BeovghIAAAAAKMKCr0C9R1CCOikgIEAmk6nM4+V9QgAAAIB6igVfgXqPoAR1TkBAgFYsj5LR26u2WwEAAICrYsFXoN4iKEGdYzKZCkMSW58CDGwjzehTs40BAAAAAJweQQnqLlufAnT0rdleAAAAUO+UNx1cYlFYwBkRlAAAAABAFbN3OjiLwgLOh6AEAAAAABxga4OAoKCg8qeDsygs4JQISgAAAACgIuzcQlgSi8ICLoigBAAAAAAqwp4thNk8AHBZBCUAAAAA4Ag2DwDqJIISAAAAAKhFttY6KcLuOEDNISgBAAAAgNpQgbVO2B0HqDkEJQAAAABQG+xZ60RidxyghhGUAAAAAEBtYmccwKm413YDAAAAAAAAzoIRJQAAAADgAspb9JUFX4GqQVACAAAAAM7MzkVfWfAVqBoEJQAAAADgzOxZ9JUFX4EqQ1ACAAAAAK6ARV+BGsFirgAAAAAAABYEJQAAAAAAABYEJQAAAAAAABYEJQAAAAAAABYEJQAAAAAAABbsegMAAAAAdURQUJDN4+np6WwfDJSDoAQAAAAAXF3zhpI5X5GRkTbLzp/LVsS4sYQlgA0EJXApAQEBMplMNmvKS9EBAACAOsdklDzcpQkbpIS00ms6+sq4ZJBMJhNBCWADQQlcRkBAgFYsj5LR26u2WwEAAACcU0KaFEsIAlQGQQlchslkKgxJbKXkkjSwjTSjT801BgAAAACoMwhK4HrKS8k7+tZcLwAAAICLYcFXwDaCEgAAAACoD1jwFbALQQkAAAAA1Acs+ArYhaAEAAAAAOoTFnwFbHKv7QYAAAAAAACcBUEJAAAAAACABUEJAAAAAACABUEJAAAAAACABYu5AgAAAABKCAoKsnk8PT2dXXFQZxGUwGkEBATIZDKVeby8F2sAAAAAldS8oWTOV2RkpM2y8+eyFTFuLGEJ6iSCEjiFgIAArVgeJaO3V223AgAAANRfJqPk4S5N2FC4jXBpOvrKuGSQTCYTQQnqJIISOAWTyVQYkth6QR7YRprRp2YbAwAAAOqjhDQplhAE9RNBCZyLrRfkjr412wsAAACAMrGOCeoqghIAAAAAgP1YxwR1HEEJAAAAAMB+FVjHpGvXrvrrr79sPhwjT+BsCEoAAAAAABVna9q8naNOJPtGnpS3Q6ZE4IKqQ1ACAAAAAKha9ow6kewaeeLr66tnnp6lBl5Gm0/JVB9UFYIS1IjyEuDyFoICAAAA4ILK2z2nAiNP2LIYNYWgBNUuICBAK5ZHFW7/CwAAAABF7Bl5MrCNNKMPWxajxhCUoNqZTKbCkMSeFz8AAAAA9Y+tEKSjb832gnqPoAQ1hxc/AAAAANWovCn9LPgKexCUAAAAAABcm51rnbDgK+xBUAIAAAAAcG32rHXCgq+wE0EJAAAAAKBuYMFXVAGCEgAAAABAvcE6JigPQQkqLSAgQCaTqczj5b0QAQAAAEC1Yx0T2ImgRNLtt9+ue++9V/7+/jp48KBefvll7d69u7bbcgkBAQFasTyqcPtfAAAAAHBWrGMCO9X7oOSGG27Q1KlT9eKLL2rPnj267bbbtGjRIt1xxx06efJkbbdX6+wZLWL09rL9YjOwjTSjTzV1CAAAAAAVYMc6JuWNivf09FReXl65T2VPnT01TAeqWfU+KBk9erTWrFmjNWvWSJIWLFigPn366Pbbb9fixYtrubvaVaHRIrZebDr6Vm1jAAAAAFAd7JyeU2DOl5uHe7kPZ0+dPTXns7M1e84cpaWV8eG0CFOqUr0OSjw9PXXppZfq7bffLnH79u3bFRoaWjtN1SBGiwAAAABAMfZMzxnYRm4z+tiusbfOnpreLWV87mrNnTvXZuv2hCmOjnDx8PCQJLVv315ms7nOhzL1Oihp2rSpPD09lZqaWuL21NRU+fv7l3qf/Px8FRQUWL+2Z7iVM/Lz89PL8/+lBl5Gm3UpKSlS/hnJPav0gpxMKSVFCjZI7o1KrwlUzdVUwWPlekpZWVlKCTDK4EznVkPn77Q1ztgT51b+ddS1oQxO0lOt1DhjT5yby5xbrV1HNXButVbjjD1xbtV+bi7/b5Iz9lQfzs2e90C2auyts6emQbZ0Ok16c490/EzpNR19pbsv1dSpU8vuR46PcMnNzdWWLVv0z3/+UwaDQTnZ5/XY1McL3y+6mOLv58vi1rNnz/Kr6ih/f3+tX79eERERiouLs94+duxYDRkyRLfffvsF9zl27JiOHz9ek20CAAAAAIAqcNlll6lBgwY2a+r1iJLTp08rLy9Pfn5+JW739fUtMxlr0aKFAgMDrV/n5+fLbDbL09NTbm5u1dovaobZbFZcXJwuu+wy6xAzABXDdQRUHtcRUDW4loDKqwvXUUFBgfLz8+XpWX4MUq+Dkry8PP32228KCwvT1q1brbeHhYXp22+/LfU+7u4lhyB5eHjIYDBUZ5uoJR4eHi77IgA4C64joPK4joCqwbUEVF59uY7qdVAiSe+//77mzJmjffv2KTY2VrfddptatGihVatW1XZrAAAAAACghtX7oGTjxo0ymUx64IEH5O/vr8TERE2ePFknTpyo7dYAAAAAAEANq/dBiST95z//0X/+85/abgNOws3NTS1btmTNGaASuI6AyuM6AqoG1xJQefXtOqrXu94AAAAAAAAUZ3sDZQAAAAAAgHqEoAQAAAAAAMCCoAQAAAAAAMCCoAQAAAAAAMCCXW/g0u6//34NGDBA7dq10/nz5xUbG6vXXntNhw4dKlE3fvx4DR8+XD4+Ptq7d69eeuklHTx40HrcYDBoypQpCg8Pl9Fo1I4dO/Tiiy/q1KlT1hofHx9Nnz5d/fr1kyRFR0dr3rx5OnPmjLUmMDBQTz75pHr16qXz589r/fr1euWVV5SXl1fN3wmgckaMGKHbb79dLVu2lCQdPHhQy5Yt0w8//GCt4ToCKub+++/XxIkT9cEHH2jBggXW27mWANvGjx+v8ePHl7gtOTlZgwcPLlHDdQTYFhAQoEmTJumqq66Sl5eXDh06pGeffVa//fabtYZrqXSMKIFL69Gjhz799FNFREToH//4hzw8PPT666/Ly8vLWjNmzBiNGjVK8+bN05gxY5SSkqLFixerYcOG1pqpU6eqf//+ioyM1AMPPCBvb28tXLhQ7u7/u0See+45derUSZMmTdKkSZPUqVMnzZkzx3rc3d1dr776qry9vfXAAw8oMjJSAwcO1GOPPVYz3wygEk6dOqXXX39d9913n+677z7t3LlTL7/8stq3by+J6wioqC5dumj48OH6/fffS9zOtQTYJzExUeHh4dY/d999t/UY1xFQPh8fHy1fvlx5eXmaPHmy7rjjDr3yyivKzMy01nAtlY2gBC7t0Ucf1dq1a3Xw4EElJCRo9uzZatmypTp37mytGTlypFasWKEtW7YoMTFRs2bNkpeXl/VTiUaNGmnYsGF65ZVXFBMTo/3792vmzJnq0KGDevfuLUlq166d+vbtq2effVZxcXGKi4vTc889p379+qlt27aSpCuvvFIXX3yxZs6cqf379ysmJkavvPKKbr31VjVq1KjmvzlABXz33Xfatm2bDh8+rMOHD+uNN95QVlaWLrvsMklcR0BFeHt769lnn9Xzzz9f4hdSiWsJsFdeXp5SUlKsf06fPm09xnUElG/MmDE6efKk5syZo7179+r48ePasWOHjh49aq3hWiobQQnqlMaNG0uSMjIyJEmtWrWSv7+/tm/fbq3Jzc3Vrl27FBoaKknq3LmzDAZDiZrk5GQlJiZaa0JDQ5WZmam9e/daa+Lj45WZmWmtueyyy5SYmKjk5GRrzY8//iij0ahLL720ms4YqHru7u4aNGiQvL29FRsby3UEVNCTTz6pbdu2KSYmpsTtXEuA/dq0aaOvv/5aa9as0dy5c9WqVStJXEeAvfr166d9+/bpxRdf1IYNG/T+++/r1ltvtR7nWrKNNUpQpzz++OP65ZdflJiYKEny8/OTJKWkpJSoS0lJsa7F4Ofnp5ycnAs+9UtNTZW/v7+1JjU19YLnS01NtT5HaTWZmZnKycmxPg7gzIKDg7VixQo1aNBA586d0/Tp0/XHH39Y/5HjOgLKN2jQIF166aW67777LjjGv0mAfeLj4zVr1iwdOnRIfn5+GjdunJYvX6677rqL6wiwU6tWrTRixAi9//77WrFihUJCQjRt2jTl5uZq3bp1XEvlIChBnfHEE0+oQ4cOeuCBBy44VlBQUOJrNze3C277O0dqSqu353EAZ3Do0CGNGjVKPj4+GjhwoJ555pkSi+lxHQG2BQYGaurUqZo4caJycnLKrONaAmwrvpB4YmKiYmNj9fnnn2vo0KGKi4uTxHUElMfd3V2//vqr3njjDUnS/v371b59e40YMULr1q2z1nEtlY6pN6gTilZZnjBhQokVmIsS0r8nlc2aNbOmmikpKWrQoIF8fHxK1Pj6+lrvn5KSombNml3wvL6+viUepyg1LeLj4yODwXBBUgs4o7y8PB05ckT79u3T4sWL9fvvv2vkyJFcR4CdLr30Uvn5+endd9/V9u3btX37dvXs2VN33323tm/fzrUEOCg7O1uJiYkKCgriOgLslJycrD/++KPEbX/88YdatGghifdJ5SEogct74oknNGDAAD388MM6duxYiWNHjx5VcnKywsLCrLd5enqqR48eio2NlSTt27dPubm5JWr8/PwUHBxsrYmNjZWPj49CQkKsNSEhIfLx8bHWxMXFKTg4uMSLwJVXXqnz58+X2IILcBVubm4yGAxcR4CdduzYobvuukujR4+2/tm7d6/Wr1+v0aNHcy0BDjIYDGrXrp2Sk5O5jgA77dmzx7qYapG2bdvq+PHjknifVB6m3sClPfnkkxo8eLCmTp2qrKws68V35swZnT9/XpL04YcfKiIiQocPH9Zff/2liIgIZWdna/369ZKks2fPas2aNZoyZYrS09OVkZGhyZMn68CBA9aF+P78809t27ZNM2bM0Ny5cyVJM2bMUHR0tA4dOiRJ2r59u/744w/NmTNHixYtUpMmTTR58mR9/vnnOnv2bE1/a4AKeeSRR/TDDz/o5MmTatiwocLDw9WzZ089+uijkriOAHtkZWVZ18gqkp2drdOnT1tv51oCyjd58mR99913OnHihHx9fTVu3Dg1atRIa9eulcR1BNjjgw8+UFRUlCIiIrRx40aFhIRo+PDhev755601XEtlc+vZs6dzTgoC7LBz585Sb3/mmWes/5hK0vjx43XbbbfJx8dH8fHxmjdvXolfZhs0aKDJkycrPDxcXl5eiomJ0UsvvaSTJ09aa5o0aaJp06apX79+kqTo6GjNmzdPZ86csdYEBgbqqaeeUq9evZSdna3//ve/euWVV5Sbm1vVpw5UqZkzZ6pXr17y9/fXmTNnlJCQoHfeeUc//fSTtYbrCKi4N998U/v379eCBQust3EtAbbNnTtXl19+uZo2baq0tDTFx8fr3//+d4lpBFxHQPmuvvpqTZw4UUFBQTp27Jjef/99ff755//f3t2FRnWtcRh/0pwYaSPRdmI6osbUNlTbYsYRjVajrZKLlhjagkWDJF5JbTWItOJVUPBCNODHRSFaqgiCqP2gBC806SgIVowdRG0NDlJNTFprWzFWk4zxXHQ7kE7sUY7HmMPzu9qz3zV7vbNhYPizZu0+Y/wu9c+gRJIkSZIkKeAeJZIkSZIkSQGDEkmSJEmSpIBBiSRJkiRJUsCgRJIkSZIkKWBQIkmSJEmSFDAokSRJkiRJChiUSJIkSZIkBQxKJEnS/4Xa2lpOnjxJNBod6FYkSdIgZlAiSZIUiEajnDx5ktra2oFuRZIkDRCDEkmSJEmSpIBBiSRJkiRJUuBfA92AJEnSw3jzzTepqqpi/Pjx3Lx5k+PHj7Nt27Z+xxYXF1NWVkYkEiE/P58hQ4bQ0dFBLBZj586ddHZ2psbW1tZSXl4OQHl5eeoYoL6+nvr6+tTrcDjMkiVLKCkpIRQKcfPmTU6dOsX27du5cOFCWh8lJSVUVlbywgsvMGLECK5fv05bWxvfffcd27dvf1S3RpIkPQIZ0Wj07kA3IUmS9CAWLFjAJ598QjKZ5NSpU/zxxx9EIhHu3LlDS0sLpaWlLF26lObmZgA+//xzioqKSCQSdHR0kJWVxcsvv0xeXh6JRILq6mpu3boFQEVFBXPnzmXGjBlcvnyZeDyemjcWi3HkyBEAJk2axJYtW8jJySGRSHDx4kXy8vJ47bXX6O7upqamJjU/wHvvvceaNWvo6uoiHo/z+++/M2LECMaNG0d+fj5Tpkx5fDdQkiT9R64okSRJg0I4HKampoauri5WrFiRCiOys7Opq6ujtLQ07T07duzg9OnT3LhxI3UuKyuLjz/+mHfffZfKykp27NgBwNdff01rayszZswgHo+zdu3atOs988wzbNiwgezsbFavXk1jY2OqNnXqVDZv3sy6deuoqKggmUwCUFVVRWdnJwsXLqS9vb3P9XxCjyRJTx73KJEkSYPC/Pnzyc7OpqGhoc+Kja6uLjZu3Ehvb2/ae44dO9YnJAHo6emhrq6OZDLJ7NmzH7qHUCjE7t27+4QkACdOnGD//v3k5+cza9as1Plnn32Wtra2tJAE6PM5JEnSk8EVJZIkaVAoLi4G4PDhw2m1n376ifPnzzNhwoS0Wl5eHqWlpRQUFJCTk0NGRgbwV2AyZsyYh+ph2rRpAKm/4fxdPB5n0aJFTJw4kW+//RaAH374gUgkwkcffcSXX35JW1vbQ80pSZIeL4MSSZI0KOTl5QHQ0dHRb72joyMtKKmsrOTDDz9kyJAhj6SHcDgMwK5du/5x3PDhw1PHGzZsYNOmTVRXV1NdXc0vv/xCPB6nsbGRpqYm7t51uzhJkp4kBiWSJGlQuLcS5EGDhVdffZWVK1dy48YN1q9fT3NzM9euXaOnpweAgwcPpsKXB5WZmQnAoUOHuH379n3HnTlzJnV84cIFFixYwPTp03n99deJRqOUlZVRVlbG999/zwcffJDaz0SSJA08gxJJkjQoXL16lYKCAsLhMJcvX06rP//8831ev/HGGwB8+umnNDQ09KllZ2fz3HPPPXQPP//8M+PGjeOzzz7r9zHA99Pd3c2RI0dSf9kpLCxk/fr1RCIRKioqOHDgwEP3IkmS/jfczFWSJA0K9x7XO2/evLTa2LFjKSoq6nNu2LBhwF/hxt/NmzePp55K/xl0b7XJvZUjf3fixAkA5syZ88B99+fixYvs27cPgBdffPG/upYkSXq0DEokSdKg8M0339Dd3c1bb72V2tgV/lodsmrVqrRw49KlSwBUVFT0qRUWFrJ8+fJ+57h69SoABQUF/da/+OILfvvtN5YsWUJ5eXlafejQobz99tuMHDky1dv7779PTk5On3EZGRmUlJQA999zRZIkDYyMaDTqDmKSJGlQWLhwIatWrSKZTNLc3Mz169cpLi6mt7eXlpYWSktLWbp0Kc3NzeTm5rJ3715CoRCtra2cO3eO3NxcJk+eTCwW45VXXmHUqFFMmTKlzxx79uyhqKiIs2fPkkgk6O3t5ejRoxw9ehSASZMmUVdXx/Dhw7ly5QqJRIKenh7y8/MpLCzk6aefZtGiRbS0tJCTk0MsFqO7u5sff/yR9vZ2srKymDBhAuFwmNbWVhYvXpz2CGNJkjRwDEokSdKgMnfuXKqqqhg/fjx//vknx48fZ+vWrSxbtozy8vJUUAIwcuRIli9fzuTJk8nNzeXKlSs0NDSwe/duvvrqq36DktGjR1NTU0MkEmHYsGFkZmZSX19PfX19akwoFKKyspKZM2cSDoe5c+cOv/76K+fPn6epqYlYLEYymSQzM5N33nmHqVOn8tJLLxEKhejp6aG9vZ2mpib27t1LZ2fnY71/kiTpnxmUSJIkSZIkBdyjRJIkSZIkKWBQIkmSJEmSFDAokSRJkiRJChiUSJIkSZIkBQxKJEmSJEmSAgYlkiRJkiRJAYMSSZIkSZKkgEGJJEmSJElSwKBEkiRJkiQpYFAiSZIkSZIUMCiRJEmSJEkKGJRIkiRJkiQFDEokSZIkSZIC/wYsV0is6XcBbAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize = (13, 7), facecolor = '#333333')\n",
"ax.set_facecolor('#444444')\n",
"data['consumption'].plot(kind = 'hist', bins = 100,\n",
"\t\t\t\t color = 'deeppink', edgecolor = 'white');\n",
"ax.grid()\n",
"plt.xlabel('dates', color = 'white', fontsize = 15)\n",
"plt.ylabel('energy usage', color = 'white', fontsize = 15)\n",
"plt.tick_params(labelcolor = 'white', which = 'both')\n",
"plt.title('Distribution of Energy Use Values', \n",
"\t\t fontsize = 20, pad = 20, color = 'white');\n",
"plt.legend().remove()"
]
},
{
"cell_type": "markdown",
"id": "c65d6aa4-4752-4c0c-b0fe-983df01f7c4c",
"metadata": {
"id": "c65d6aa4-4752-4c0c-b0fe-983df01f7c4c"
},
"source": [
"<a name=\"features\"></a>\n",
"\n",
"---\n",
"\n",
"**Sections:** ● [Top](#top) ● [The Data](#data) ● [Feature Engineering](#features) ● [Investigating Correlation](#correlation) ● [Lag Features](#lag_features) ● [Splitting](#splitting) ● [The Model](#model) ● [Results with Traditional Split](#traditional_results) ● [Using Cross-Validation](#cross_validation) ● [Making Future Predictions](#future_predictions) \n",
"\n",
"---\n",
"\n",
"<span style = 'background-color: purple; padding: 5px 5px 3px 5px; line-height: 1.5; color:white;border-radius: 3px;'><font size = 4>**Feature Engineering**</font></span>"
]
},
{
"cell_type": "markdown",
"id": "02d4da66-d373-4f9b-9c2f-51cf807d649d",
"metadata": {
"id": "02d4da66-d373-4f9b-9c2f-51cf807d649d"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Time Series DateTime Index Feature Creation**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8685d4a7-5ce2-4b2a-8ec9-bdaf4cd1c39a",
"metadata": {
"id": "8685d4a7-5ce2-4b2a-8ec9-bdaf4cd1c39a"
},
"outputs": [],
"source": [
"def featurize_datetime_index(df, daytime = True):\n",
"\tdf = df.copy()\n",
"\t\n",
"\tdf['hour'] = df.index.hour\n",
"\tdf['weekday'] = df.index.dayofweek\n",
"\tdf['weekday_name'] = df.index.strftime('%A')\n",
"\tdf['month'] = df.index.month\n",
"\tdf['month_name'] = df.index.strftime('%B')\n",
"\tdf['quarter'] = df.index.quarter\n",
"\tdf['year'] = df.index.year\n",
"\tdf['week_of_year'] = df.index.isocalendar().week\n",
"\tdf['day_of_year'] = df.index.dayofyear\n",
"\t\n",
"\tif daytime:\n",
"\t\t# Add column with category for time of day: \n",
"\t\t# midnight, early_morning, late_morning, afternoon, evening, night \n",
"\t\tdef time_of_day(hour):\n",
"\t\t\tif hour >= 0 and hour < 6:\n",
"\t\t\t\treturn 'midnight'\n",
"\t\t\telif hour >= 6 and hour < 9:\n",
"\t\t\t\treturn 'early_morning'\n",
"\t\t\telif hour >= 9 and hour < 12:\n",
"\t\t\t\treturn 'late_morning'\n",
"\t\t\telif hour >= 12 and hour < 15:\n",
"\t\t\t\treturn 'afternoon'\n",
"\t\t\telif hour >= 15 and hour < 18:\n",
"\t\t\t\treturn 'evening'\n",
"\t\t\telse:\n",
"\t\t\t\treturn 'night'\n",
"\n",
"\t\tdf['time_of_day'] = (df['hour'].apply(time_of_day)).astype('category')\n",
"\t\t\n",
"\tdf['weekday_name'] = df['weekday_name'].astype('category')\n",
"\tdf['month_name'] = df['month_name'].astype('category')\n",
"\t\n",
"\treturn df"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f3380063-8488-4412-b404-04a26236d281",
"metadata": {
"id": "f3380063-8488-4412-b404-04a26236d281"
},
"outputs": [],
"source": [
"df = featurize_datetime_index(data.copy())"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ccfea0a1-92df-4837-ba6e-7336d54fd0b6",
"metadata": {
"id": "ccfea0a1-92df-4837-ba6e-7336d54fd0b6",
"outputId": "14b99855-f4cf-4974-a386-4d725b864713"
},
"outputs": [
{
"data": {
"text/html": [
"<span style = 'display: block; width: 480.0px; \t\t\t\t\t\tline-height: 2; background: #333333;\t\t\t\t\t\tmargin-left: auto; margin-right: auto;\t\t\t\t\t\tborder: 1px solid text_color;\t\t\t\t\t\tborder-radius: 3px; text-align: center;\t\t\t\t\t\tpadding: 3px 8px 3px 8px;'>\t\t\t\t\t\t<b><font size=4><text style=color:white>DF with Added Datetime Features (Random Samples)\t\t\t\t\t\t</text></font></b></style>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<center><style type=\"text/css\">\n",
"#T_7fdd5 caption {\n",
" background: #333333;\n",
" border-radius: 3px;\n",
" padding: 5px;\n",
" color: white;\n",
" font-size: 12px;\n",
" font-weight: bold;\n",
"}\n",
"</style>\n",
"<table id=\"T_7fdd5\" style='display:inline-block'>\n",
" <caption>head(5)</caption>\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th id=\"T_7fdd5_level0_col0\" class=\"col_heading level0 col0\" >consumption</th>\n",
" <th id=\"T_7fdd5_level0_col1\" class=\"col_heading level0 col1\" >holiday</th>\n",
" <th id=\"T_7fdd5_level0_col2\" class=\"col_heading level0 col2\" >hour</th>\n",
" <th id=\"T_7fdd5_level0_col3\" class=\"col_heading level0 col3\" >weekday</th>\n",
" <th id=\"T_7fdd5_level0_col4\" class=\"col_heading level0 col4\" >weekday_name</th>\n",
" <th id=\"T_7fdd5_level0_col5\" class=\"col_heading level0 col5\" >month</th>\n",
" <th id=\"T_7fdd5_level0_col6\" class=\"col_heading level0 col6\" >month_name</th>\n",
" <th id=\"T_7fdd5_level0_col7\" class=\"col_heading level0 col7\" >quarter</th>\n",
" <th id=\"T_7fdd5_level0_col8\" class=\"col_heading level0 col8\" >year</th>\n",
" <th id=\"T_7fdd5_level0_col9\" class=\"col_heading level0 col9\" >week_of_year</th>\n",
" <th id=\"T_7fdd5_level0_col10\" class=\"col_heading level0 col10\" >day_of_year</th>\n",
" <th id=\"T_7fdd5_level0_col11\" class=\"col_heading level0 col11\" >time_of_day</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"index_name level0\" >datetime</th>\n",
" <th class=\"blank col0\" >&nbsp;</th>\n",
" <th class=\"blank col1\" >&nbsp;</th>\n",
" <th class=\"blank col2\" >&nbsp;</th>\n",
" <th class=\"blank col3\" >&nbsp;</th>\n",
" <th class=\"blank col4\" >&nbsp;</th>\n",
" <th class=\"blank col5\" >&nbsp;</th>\n",
" <th class=\"blank col6\" >&nbsp;</th>\n",
" <th class=\"blank col7\" >&nbsp;</th>\n",
" <th class=\"blank col8\" >&nbsp;</th>\n",
" <th class=\"blank col9\" >&nbsp;</th>\n",
" <th class=\"blank col10\" >&nbsp;</th>\n",
" <th class=\"blank col11\" >&nbsp;</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_7fdd5_level0_row0\" class=\"row_heading level0 row0\" >2019-03-23 18:00:00</th>\n",
" <td id=\"T_7fdd5_row0_col0\" class=\"data row0 col0\" >37,097</td>\n",
" <td id=\"T_7fdd5_row0_col1\" class=\"data row0 col1\" >0</td>\n",
" <td id=\"T_7fdd5_row0_col2\" class=\"data row0 col2\" >18</td>\n",
" <td id=\"T_7fdd5_row0_col3\" class=\"data row0 col3\" >5</td>\n",
" <td id=\"T_7fdd5_row0_col4\" class=\"data row0 col4\" >Saturday</td>\n",
" <td id=\"T_7fdd5_row0_col5\" class=\"data row0 col5\" >3</td>\n",
" <td id=\"T_7fdd5_row0_col6\" class=\"data row0 col6\" >March</td>\n",
" <td id=\"T_7fdd5_row0_col7\" class=\"data row0 col7\" >1</td>\n",
" <td id=\"T_7fdd5_row0_col8\" class=\"data row0 col8\" >2,019</td>\n",
" <td id=\"T_7fdd5_row0_col9\" class=\"data row0 col9\" >12</td>\n",
" <td id=\"T_7fdd5_row0_col10\" class=\"data row0 col10\" >82</td>\n",
" <td id=\"T_7fdd5_row0_col11\" class=\"data row0 col11\" >night</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7fdd5_level0_row1\" class=\"row_heading level0 row1\" >2021-10-07 21:00:00</th>\n",
" <td id=\"T_7fdd5_row1_col0\" class=\"data row1 col0\" >30,872</td>\n",
" <td id=\"T_7fdd5_row1_col1\" class=\"data row1 col1\" >0</td>\n",
" <td id=\"T_7fdd5_row1_col2\" class=\"data row1 col2\" >21</td>\n",
" <td id=\"T_7fdd5_row1_col3\" class=\"data row1 col3\" >3</td>\n",
" <td id=\"T_7fdd5_row1_col4\" class=\"data row1 col4\" >Thursday</td>\n",
" <td id=\"T_7fdd5_row1_col5\" class=\"data row1 col5\" >10</td>\n",
" <td id=\"T_7fdd5_row1_col6\" class=\"data row1 col6\" >October</td>\n",
" <td id=\"T_7fdd5_row1_col7\" class=\"data row1 col7\" >4</td>\n",
" <td id=\"T_7fdd5_row1_col8\" class=\"data row1 col8\" >2,021</td>\n",
" <td id=\"T_7fdd5_row1_col9\" class=\"data row1 col9\" >40</td>\n",
" <td id=\"T_7fdd5_row1_col10\" class=\"data row1 col10\" >280</td>\n",
" <td id=\"T_7fdd5_row1_col11\" class=\"data row1 col11\" >night</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7fdd5_level0_row2\" class=\"row_heading level0 row2\" >2022-06-20 08:30:00</th>\n",
" <td id=\"T_7fdd5_row2_col0\" class=\"data row2 col0\" >30,410</td>\n",
" <td id=\"T_7fdd5_row2_col1\" class=\"data row2 col1\" >0</td>\n",
" <td id=\"T_7fdd5_row2_col2\" class=\"data row2 col2\" >8</td>\n",
" <td id=\"T_7fdd5_row2_col3\" class=\"data row2 col3\" >0</td>\n",
" <td id=\"T_7fdd5_row2_col4\" class=\"data row2 col4\" >Monday</td>\n",
" <td id=\"T_7fdd5_row2_col5\" class=\"data row2 col5\" >6</td>\n",
" <td id=\"T_7fdd5_row2_col6\" class=\"data row2 col6\" >June</td>\n",
" <td id=\"T_7fdd5_row2_col7\" class=\"data row2 col7\" >2</td>\n",
" <td id=\"T_7fdd5_row2_col8\" class=\"data row2 col8\" >2,022</td>\n",
" <td id=\"T_7fdd5_row2_col9\" class=\"data row2 col9\" >25</td>\n",
" <td id=\"T_7fdd5_row2_col10\" class=\"data row2 col10\" >171</td>\n",
" <td id=\"T_7fdd5_row2_col11\" class=\"data row2 col11\" >early_morning</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7fdd5_level0_row3\" class=\"row_heading level0 row3\" >2010-11-15 23:00:00</th>\n",
" <td id=\"T_7fdd5_row3_col0\" class=\"data row3 col0\" >36,683</td>\n",
" <td id=\"T_7fdd5_row3_col1\" class=\"data row3 col1\" >0</td>\n",
" <td id=\"T_7fdd5_row3_col2\" class=\"data row3 col2\" >23</td>\n",
" <td id=\"T_7fdd5_row3_col3\" class=\"data row3 col3\" >0</td>\n",
" <td id=\"T_7fdd5_row3_col4\" class=\"data row3 col4\" >Monday</td>\n",
" <td id=\"T_7fdd5_row3_col5\" class=\"data row3 col5\" >11</td>\n",
" <td id=\"T_7fdd5_row3_col6\" class=\"data row3 col6\" >November</td>\n",
" <td id=\"T_7fdd5_row3_col7\" class=\"data row3 col7\" >4</td>\n",
" <td id=\"T_7fdd5_row3_col8\" class=\"data row3 col8\" >2,010</td>\n",
" <td id=\"T_7fdd5_row3_col9\" class=\"data row3 col9\" >46</td>\n",
" <td id=\"T_7fdd5_row3_col10\" class=\"data row3 col10\" >319</td>\n",
" <td id=\"T_7fdd5_row3_col11\" class=\"data row3 col11\" >night</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7fdd5_level0_row4\" class=\"row_heading level0 row4\" >2016-11-06 21:00:00</th>\n",
" <td id=\"T_7fdd5_row4_col0\" class=\"data row4 col0\" >35,070</td>\n",
" <td id=\"T_7fdd5_row4_col1\" class=\"data row4 col1\" >0</td>\n",
" <td id=\"T_7fdd5_row4_col2\" class=\"data row4 col2\" >21</td>\n",
" <td id=\"T_7fdd5_row4_col3\" class=\"data row4 col3\" >6</td>\n",
" <td id=\"T_7fdd5_row4_col4\" class=\"data row4 col4\" >Sunday</td>\n",
" <td id=\"T_7fdd5_row4_col5\" class=\"data row4 col5\" >11</td>\n",
" <td id=\"T_7fdd5_row4_col6\" class=\"data row4 col6\" >November</td>\n",
" <td id=\"T_7fdd5_row4_col7\" class=\"data row4 col7\" >4</td>\n",
" <td id=\"T_7fdd5_row4_col8\" class=\"data row4 col8\" >2,016</td>\n",
" <td id=\"T_7fdd5_row4_col9\" class=\"data row4 col9\" >44</td>\n",
" <td id=\"T_7fdd5_row4_col10\" class=\"data row4 col10\" >311</td>\n",
" <td id=\"T_7fdd5_row4_col11\" class=\"data row4 col11\" >night</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"&nbsp;&nbsp;&nbsp;<style type=\"text/css\">\n",
"#T_4d3f2 caption {\n",
" background: #333333;\n",
" border-radius: 3px;\n",
" padding: 5px;\n",
" color: white;\n",
" font-size: 12px;\n",
" font-weight: bold;\n",
"}\n",
"</style>\n",
"<table id=\"T_4d3f2\" style='display:inline-block'>\n",
" <caption>tail(5)</caption>\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th id=\"T_4d3f2_level0_col0\" class=\"col_heading level0 col0\" >consumption</th>\n",
" <th id=\"T_4d3f2_level0_col1\" class=\"col_heading level0 col1\" >holiday</th>\n",
" <th id=\"T_4d3f2_level0_col2\" class=\"col_heading level0 col2\" >hour</th>\n",
" <th id=\"T_4d3f2_level0_col3\" class=\"col_heading level0 col3\" >weekday</th>\n",
" <th id=\"T_4d3f2_level0_col4\" class=\"col_heading level0 col4\" >weekday_name</th>\n",
" <th id=\"T_4d3f2_level0_col5\" class=\"col_heading level0 col5\" >month</th>\n",
" <th id=\"T_4d3f2_level0_col6\" class=\"col_heading level0 col6\" >month_name</th>\n",
" <th id=\"T_4d3f2_level0_col7\" class=\"col_heading level0 col7\" >quarter</th>\n",
" <th id=\"T_4d3f2_level0_col8\" class=\"col_heading level0 col8\" >year</th>\n",
" <th id=\"T_4d3f2_level0_col9\" class=\"col_heading level0 col9\" >week_of_year</th>\n",
" <th id=\"T_4d3f2_level0_col10\" class=\"col_heading level0 col10\" >day_of_year</th>\n",
" <th id=\"T_4d3f2_level0_col11\" class=\"col_heading level0 col11\" >time_of_day</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"index_name level0\" >datetime</th>\n",
" <th class=\"blank col0\" >&nbsp;</th>\n",
" <th class=\"blank col1\" >&nbsp;</th>\n",
" <th class=\"blank col2\" >&nbsp;</th>\n",
" <th class=\"blank col3\" >&nbsp;</th>\n",
" <th class=\"blank col4\" >&nbsp;</th>\n",
" <th class=\"blank col5\" >&nbsp;</th>\n",
" <th class=\"blank col6\" >&nbsp;</th>\n",
" <th class=\"blank col7\" >&nbsp;</th>\n",
" <th class=\"blank col8\" >&nbsp;</th>\n",
" <th class=\"blank col9\" >&nbsp;</th>\n",
" <th class=\"blank col10\" >&nbsp;</th>\n",
" <th class=\"blank col11\" >&nbsp;</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_4d3f2_level0_row0\" class=\"row_heading level0 row0\" >2014-05-08 14:30:00</th>\n",
" <td id=\"T_4d3f2_row0_col0\" class=\"data row0 col0\" >39,753</td>\n",
" <td id=\"T_4d3f2_row0_col1\" class=\"data row0 col1\" >0</td>\n",
" <td id=\"T_4d3f2_row0_col2\" class=\"data row0 col2\" >14</td>\n",
" <td id=\"T_4d3f2_row0_col3\" class=\"data row0 col3\" >3</td>\n",
" <td id=\"T_4d3f2_row0_col4\" class=\"data row0 col4\" >Thursday</td>\n",
" <td id=\"T_4d3f2_row0_col5\" class=\"data row0 col5\" >5</td>\n",
" <td id=\"T_4d3f2_row0_col6\" class=\"data row0 col6\" >May</td>\n",
" <td id=\"T_4d3f2_row0_col7\" class=\"data row0 col7\" >2</td>\n",
" <td id=\"T_4d3f2_row0_col8\" class=\"data row0 col8\" >2,014</td>\n",
" <td id=\"T_4d3f2_row0_col9\" class=\"data row0 col9\" >19</td>\n",
" <td id=\"T_4d3f2_row0_col10\" class=\"data row0 col10\" >128</td>\n",
" <td id=\"T_4d3f2_row0_col11\" class=\"data row0 col11\" >afternoon</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_4d3f2_level0_row1\" class=\"row_heading level0 row1\" >2011-04-05 12:30:00</th>\n",
" <td id=\"T_4d3f2_row1_col0\" class=\"data row1 col0\" >43,494</td>\n",
" <td id=\"T_4d3f2_row1_col1\" class=\"data row1 col1\" >0</td>\n",
" <td id=\"T_4d3f2_row1_col2\" class=\"data row1 col2\" >12</td>\n",
" <td id=\"T_4d3f2_row1_col3\" class=\"data row1 col3\" >1</td>\n",
" <td id=\"T_4d3f2_row1_col4\" class=\"data row1 col4\" >Tuesday</td>\n",
" <td id=\"T_4d3f2_row1_col5\" class=\"data row1 col5\" >4</td>\n",
" <td id=\"T_4d3f2_row1_col6\" class=\"data row1 col6\" >April</td>\n",
" <td id=\"T_4d3f2_row1_col7\" class=\"data row1 col7\" >2</td>\n",
" <td id=\"T_4d3f2_row1_col8\" class=\"data row1 col8\" >2,011</td>\n",
" <td id=\"T_4d3f2_row1_col9\" class=\"data row1 col9\" >14</td>\n",
" <td id=\"T_4d3f2_row1_col10\" class=\"data row1 col10\" >95</td>\n",
" <td id=\"T_4d3f2_row1_col11\" class=\"data row1 col11\" >afternoon</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_4d3f2_level0_row2\" class=\"row_heading level0 row2\" >2011-12-01 06:00:00</th>\n",
" <td id=\"T_4d3f2_row2_col0\" class=\"data row2 col0\" >33,868</td>\n",
" <td id=\"T_4d3f2_row2_col1\" class=\"data row2 col1\" >0</td>\n",
" <td id=\"T_4d3f2_row2_col2\" class=\"data row2 col2\" >6</td>\n",
" <td id=\"T_4d3f2_row2_col3\" class=\"data row2 col3\" >3</td>\n",
" <td id=\"T_4d3f2_row2_col4\" class=\"data row2 col4\" >Thursday</td>\n",
" <td id=\"T_4d3f2_row2_col5\" class=\"data row2 col5\" >12</td>\n",
" <td id=\"T_4d3f2_row2_col6\" class=\"data row2 col6\" >December</td>\n",
" <td id=\"T_4d3f2_row2_col7\" class=\"data row2 col7\" >4</td>\n",
" <td id=\"T_4d3f2_row2_col8\" class=\"data row2 col8\" >2,011</td>\n",
" <td id=\"T_4d3f2_row2_col9\" class=\"data row2 col9\" >48</td>\n",
" <td id=\"T_4d3f2_row2_col10\" class=\"data row2 col10\" >335</td>\n",
" <td id=\"T_4d3f2_row2_col11\" class=\"data row2 col11\" >early_morning</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_4d3f2_level0_row3\" class=\"row_heading level0 row3\" >2012-04-03 07:30:00</th>\n",
" <td id=\"T_4d3f2_row3_col0\" class=\"data row3 col0\" >38,705</td>\n",
" <td id=\"T_4d3f2_row3_col1\" class=\"data row3 col1\" >0</td>\n",
" <td id=\"T_4d3f2_row3_col2\" class=\"data row3 col2\" >7</td>\n",
" <td id=\"T_4d3f2_row3_col3\" class=\"data row3 col3\" >1</td>\n",
" <td id=\"T_4d3f2_row3_col4\" class=\"data row3 col4\" >Tuesday</td>\n",
" <td id=\"T_4d3f2_row3_col5\" class=\"data row3 col5\" >4</td>\n",
" <td id=\"T_4d3f2_row3_col6\" class=\"data row3 col6\" >April</td>\n",
" <td id=\"T_4d3f2_row3_col7\" class=\"data row3 col7\" >2</td>\n",
" <td id=\"T_4d3f2_row3_col8\" class=\"data row3 col8\" >2,012</td>\n",
" <td id=\"T_4d3f2_row3_col9\" class=\"data row3 col9\" >14</td>\n",
" <td id=\"T_4d3f2_row3_col10\" class=\"data row3 col10\" >94</td>\n",
" <td id=\"T_4d3f2_row3_col11\" class=\"data row3 col11\" >early_morning</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_4d3f2_level0_row4\" class=\"row_heading level0 row4\" >2019-05-04 17:00:00</th>\n",
" <td id=\"T_4d3f2_row4_col0\" class=\"data row4 col0\" >26,747</td>\n",
" <td id=\"T_4d3f2_row4_col1\" class=\"data row4 col1\" >0</td>\n",
" <td id=\"T_4d3f2_row4_col2\" class=\"data row4 col2\" >17</td>\n",
" <td id=\"T_4d3f2_row4_col3\" class=\"data row4 col3\" >5</td>\n",
" <td id=\"T_4d3f2_row4_col4\" class=\"data row4 col4\" >Saturday</td>\n",
" <td id=\"T_4d3f2_row4_col5\" class=\"data row4 col5\" >5</td>\n",
" <td id=\"T_4d3f2_row4_col6\" class=\"data row4 col6\" >May</td>\n",
" <td id=\"T_4d3f2_row4_col7\" class=\"data row4 col7\" >2</td>\n",
" <td id=\"T_4d3f2_row4_col8\" class=\"data row4 col8\" >2,019</td>\n",
" <td id=\"T_4d3f2_row4_col9\" class=\"data row4 col9\" >18</td>\n",
" <td id=\"T_4d3f2_row4_col10\" class=\"data row4 col10\" >124</td>\n",
" <td id=\"T_4d3f2_row4_col11\" class=\"data row4 col11\" >evening</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"&nbsp;&nbsp;&nbsp;"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"head_tail_horz(df.sample(10), 5, 'DF with Added Datetime Features (Random Samples)', intraday=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fa03d825-c01c-45d5-9f50-084375d13e55",
"metadata": {
"id": "fa03d825-c01c-45d5-9f50-084375d13e55",
"outputId": "54a611bd-a961-4205-9c7b-c8e1db5f1b86"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"DatetimeIndex: 244676 entries, 2009-01-01 00:00:00 to 2022-12-31 23:30:00\n",
"Data columns (total 12 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 consumption 244676 non-null int64 \n",
" 1 holiday 244676 non-null int64 \n",
" 2 hour 244676 non-null int64 \n",
" 3 weekday 244676 non-null int64 \n",
" 4 weekday_name 244676 non-null category\n",
" 5 month 244676 non-null int64 \n",
" 6 month_name 244676 non-null category\n",
" 7 quarter 244676 non-null int64 \n",
" 8 year 244676 non-null int64 \n",
" 9 week_of_year 244676 non-null UInt32 \n",
" 10 day_of_year 244676 non-null int64 \n",
" 11 time_of_day 244676 non-null category\n",
"dtypes: UInt32(1), category(3), int64(8)\n",
"memory usage: 18.7 MB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "markdown",
"id": "3f8a3136-4a70-4565-9c81-4fe92aa6bb36",
"metadata": {
"id": "3f8a3136-4a70-4565-9c81-4fe92aa6bb36"
},
"source": [
"<a name=\"correlation\"></a>\n",
"\n",
"---\n",
"\n",
"**Sections:** ● [Top](#top) ● [The Data](#data) ● [Feature Engineering](#features) ● [Investigating Correlation](#correlation) ● [Lag Features](#lag_features) ● [Splitting](#splitting) ● [The Model](#model) ● [Results with Traditional Split](#traditional_results) ● [Using Cross-Validation](#cross_validation) ● [Making Future Predictions](#future_predictions) \n",
"\n",
"---\n",
"\n",
"<span style = 'background-color: purple; padding: 5px 5px 3px 5px; line-height: 1.5; color:white;border-radius: 3px;'><font size = 4>**Investigating Correlation**</font></span>"
]
},
{
"cell_type": "markdown",
"id": "625bc20b-6a6e-43d1-b7f8-0e0ed3bd8e8a",
"metadata": {
"id": "625bc20b-6a6e-43d1-b7f8-0e0ed3bd8e8a"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Visualize Correlation Between Features and Target**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6824e39c-6427-4b2b-ade2-9259a4bc9c23",
"metadata": {
"id": "6824e39c-6427-4b2b-ade2-9259a4bc9c23"
},
"outputs": [],
"source": [
"def boxplot_correlation(df, feature_x, feature_y, order = None, palette = None):\n",
"\t\n",
"\tfig, ax = plt.subplots(figsize = (13, 7), facecolor = '#333333')\n",
"\tax.set_facecolor('LightGray')\n",
"\t\n",
"\tsns.boxplot(data = df, \n",
"\t\t\t\tx = feature_x, \n",
"\t\t\t\ty = feature_y,\n",
"\t\t\t order = order,\n",
"\t\t\t palette = palette)\n",
"\t\n",
"\tx_name = str(df[feature_x].name)\n",
"\ty_name = str(df[feature_y].name)\n",
"\t\n",
"\tax.grid()\n",
"\tplt.xlabel(x_name, color = 'white', fontsize = 15)\n",
"\tplt.ylabel(y_name, color = 'white', fontsize = 15)\n",
"\tplt.xticks(color='white'); plt.yticks(color='white');\n",
"\tplt.title(f'Feature Correlation: {x_name.capitalize()} - {y_name.capitalize()}', \n",
"\t\t\t fontsize = 20, pad = 20, color = 'white');"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1c20863c-1551-4959-be36-a70f132be11a",
"metadata": {
"id": "1c20863c-1551-4959-be36-a70f132be11a",
"outputId": "444e8f1e-aebc-4d71-a2d8-7a4c34be9e38"
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"boxplot_correlation(df, 'hour', 'consumption', \n",
"\t\t\t\t\tpalette = colors)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bfdf2ca2-fa75-4fb0-aabb-594d4ab04043",
"metadata": {
"id": "bfdf2ca2-fa75-4fb0-aabb-594d4ab04043",
"outputId": "a9a5784d-b095-4e1c-94a6-52aa2ee1ac1b"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"daytimes = ['midnight', 'early_morning', 'late_morning', 'afternoon', \n",
"\t\t\t'evening', 'night']\n",
"\n",
"boxplot_correlation(df, 'time_of_day', 'consumption', \n",
"\t\t\t\t\torder = daytimes, palette = colors)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "77551bd7-964c-4fa6-9d38-c1954af743f2",
"metadata": {
"id": "77551bd7-964c-4fa6-9d38-c1954af743f2",
"outputId": "a574c3fd-9b43-4a0e-b14f-68bc8ab57e0b"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"months = ['January', 'February', 'March', 'April', 'May', 'June', 'July',\n",
" 'August', 'September', 'October', 'November', 'December']\n",
"\n",
"boxplot_correlation(df, 'month_name', 'consumption', \n",
"\t\t\t\t\torder = months, palette = colors)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "56fad83b-c51a-4c01-99f5-97a4332fcafe",
"metadata": {
"id": "56fad83b-c51a-4c01-99f5-97a4332fcafe",
"outputId": "4dbfc1ec-ab44-43c4-f93c-61020d1979a1"
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"boxplot_correlation(df, 'quarter', 'consumption',\n",
"\t\t\t\t palette = colors)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d2db847b-5c1c-4246-99ce-fced38fdb207",
"metadata": {
"id": "d2db847b-5c1c-4246-99ce-fced38fdb207",
"outputId": "73fb7c72-16f8-4e03-cd98-c740ca5caa25"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"boxplot_correlation(df, 'week_of_year', 'consumption',\n",
"\t\t\t\t palette = colors)"
]
},
{
"cell_type": "markdown",
"id": "d9cecb19-886d-4dc2-ba6b-2e4b7cce9dd7",
"metadata": {
"id": "d9cecb19-886d-4dc2-ba6b-2e4b7cce9dd7"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Converting `week_of_year` to float for model training**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8728cec6-1f23-44ce-a7cc-fe1a494a4e3a",
"metadata": {
"id": "8728cec6-1f23-44ce-a7cc-fe1a494a4e3a"
},
"outputs": [],
"source": [
"df['week_of_year'] = df.week_of_year.astype(float)"
]
},
{
"cell_type": "markdown",
"id": "6cd71410-b803-4056-9aef-fd8e74eb6441",
"metadata": {
"id": "6cd71410-b803-4056-9aef-fd8e74eb6441"
},
"source": [
"<a name=\"lag_features\"></a>\n",
"\n",
"---\n",
"\n",
"**Sections:** ● [Top](#top) ● [The Data](#data) ● [Feature Engineering](#features) ● [Investigating Correlation](#correlation) ● [Lag Features](#lag_features) ● [Splitting](#splitting) ● [The Model](#model) ● [Results with Traditional Split](#traditional_results) ● [Using Cross-Validation](#cross_validation) ● [Making Future Predictions](#future_predictions) \n",
"\n",
"---\n",
"\n",
"<span style = 'background-color: purple; padding: 5px 5px 3px 5px; line-height: 1.5; color:white;border-radius: 3px;'><font size = 4>**Lag Features**</font></span>"
]
},
{
"cell_type": "markdown",
"id": "eeffb4ef-c13f-4365-8884-9f43574739ae",
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"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Forecasting Horizon & Lag Features**\n",
"* Lag Features: telling the model to look back into the past, and use the target value for that many days back as a new feature fed into the model\n",
"* in this case, it is a value from the energy usage column\n",
"* we are saving this column as a `dict` called `target_map`\n",
"* using 364 as the increment, because it is perfectly divisible by 7 and will line up days of the week\n",
"* the forecast horizon cannot extend farther than the shortest lag chosen\n",
"* using `map()` to map the values"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "91d770b3-12e1-41c0-809d-55b1f62e863c",
"metadata": {
"id": "91d770b3-12e1-41c0-809d-55b1f62e863c"
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"outputs": [],
"source": [
"def year_lags(df, target_column, lag_label_list):\n",
"\t\n",
"\ttarget_map = df[target_column].to_dict()\n",
"\tinputs = lag_label_list.copy()\n",
"\t\n",
"\tfor tup in inputs:\n",
"\t\tdf[tup[1]] = (df.index - pd.Timedelta(tup[0])).map(target_map)\n",
"\t\n",
"\treturn df"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fbf2ab6b-41e4-4cea-aa6f-f65a2f0bca31",
"metadata": {
"id": "fbf2ab6b-41e4-4cea-aa6f-f65a2f0bca31"
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"outputs": [],
"source": [
"lag_label_list = [('364 days', 'one_year'),\n",
"\t\t\t\t ('728 days', 'two_year'),\n",
"\t\t\t\t ('1092 days', 'three_year')]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b94f57c8-953b-49f5-a894-c1556e32bbff",
"metadata": {
"id": "b94f57c8-953b-49f5-a894-c1556e32bbff"
},
"outputs": [],
"source": [
"df_lags = df.copy()\n",
"df_lags = year_lags(df_lags, 'consumption', lag_label_list)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2be7cae9-9ebb-49be-9cfb-86e093d37305",
"metadata": {
"id": "2be7cae9-9ebb-49be-9cfb-86e093d37305",
"outputId": "738fd19e-5184-460c-d0ec-5a0e0e6f2bd5"
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"outputs": [
{
"data": {
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"<span style = 'display: block; width: 38%; \t\t\t\t\t\tline-height: 2; background: #333333;\t\t\t\t\t\tmargin-left: auto; margin-right: auto;\t\t\t\t\t\tborder: 1px solid text_color;\t\t\t\t\t\tborder-radius: 3px; text-align: center;\t\t\t\t\t\tpadding: 3px 8px 3px 8px;'>\t\t\t\t\t\t<b><font size=3><text style=color:white>Columns and Missing Values\t\t\t\t\t\t</text></font></b></style>"
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" <th>missing</th>\n",
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"missing_values(df_lags[['one_year', 'two_year', 'three_year']])"
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{
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"source": [
"<a name=\"splitting\"></a>\n",
"\n",
"---\n",
"\n",
"**Sections:** ● [Top](#top) ● [The Data](#data) ● [Feature Engineering](#features) ● [Investigating Correlation](#correlation) ● [Lag Features](#lag_features) ● [Splitting](#splitting) ● [The Model](#model) ● [Results with Traditional Split](#traditional_results) ● [Using Cross-Validation](#cross_validation) ● [Making Future Predictions](#future_predictions) \n",
"\n",
"---\n",
"\n",
"<span style = 'background-color: purple; padding: 5px 5px 3px 5px; line-height: 1.5; color:white;border-radius: 3px;'><font size = 4>**Splitting the Data**</font></span>\n",
"* Because I noticed that I actually got better results training without the lag features added, I will be running each operation on both the data without lag features and with lag features for comparison."
]
},
{
"cell_type": "markdown",
"id": "151bcb81-79cf-47c8-b220-9412b25f7304",
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"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Traditional Train-Test Split**\n",
"* training data will the first 75% of the data\n",
"* test data will be everything the last 25% of the data"
]
},
{
"cell_type": "code",
"execution_count": null,
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"source": [
"split_point = round(len(df) * .75)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5c9fc022-6923-4ec8-89b1-eb781dc86899",
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"outputs": [],
"source": [
"train_data = df[: split_point]\n",
"test_data = df[split_point :]\n",
"train_data = pd.get_dummies(data=train_data, columns = ['time_of_day'])\n",
"test_data = pd.get_dummies(data=test_data, columns = ['time_of_day'])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cc65db9a-1360-467a-a8a8-1ba8c110e698",
"metadata": {
"id": "cc65db9a-1360-467a-a8a8-1ba8c110e698"
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"outputs": [],
"source": [
"train_data_lags = df_lags[: split_point]\n",
"test_data_lags = df_lags[split_point :]\n",
"train_data_lags = pd.get_dummies(data=train_data_lags, columns = ['time_of_day'])\n",
"test_data_lags = pd.get_dummies(data=test_data_lags, columns = ['time_of_day'])"
]
},
{
"cell_type": "markdown",
"id": "5f1be518-25ac-4636-964e-e0d156c0478f",
"metadata": {
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},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Checking the point at which the training and testing divide**"
]
},
{
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"execution_count": null,
"id": "6a4ab9dc-f540-487b-9d91-2e92f9e806d1",
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" <th>2019-07-06 12:00:00</th>\n",
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"\n",
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" consumption holiday hour weekday weekday_name month \\\n",
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" month_name quarter year week_of_year day_of_year \\\n",
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"d(train_data.tail(1))\n",
"d(test_data.head(1))"
]
},
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"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Visualizing the Traditional Train-Test Split**"
]
},
{
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{
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\n",
"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize = (13, 7), facecolor = '#333333')\n",
"ax.set_facecolor('#444444')\n",
"train_data.plot(ax = ax, label = 'Training Data', color = 'cyan');\n",
"test_data.plot(ax = ax, label = 'Testing Data', color = 'deeppink');\n",
"ax.grid()\n",
"ax.axvline('2019-07-06', color = 'yellow', ls = '--', linewidth = 3)\n",
"plt.xlabel('years', color = 'white', fontsize = 15)\n",
"plt.ylabel('energy usage', color = 'white', fontsize = 15)\n",
"plt.xticks(color='white'); plt.yticks(color='white');\n",
"plt.title('Train-Test Split', fontsize = 20, pad = 20, color = 'white');\n",
"plt.legend().remove()"
]
},
{
"cell_type": "markdown",
"id": "a0a5c3aa-064c-40fa-b3b9-e124dc6c47d6",
"metadata": {
"id": "a0a5c3aa-064c-40fa-b3b9-e124dc6c47d6"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Defining Features & Targets**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "71ac5884-940f-4d64-b028-8f23dd5cc196",
"metadata": {
"id": "71ac5884-940f-4d64-b028-8f23dd5cc196"
},
"outputs": [],
"source": [
"features = ['hour', 'weekday', 'month', 'quarter', 'year', \n",
"\t\t\t'week_of_year', 'day_of_year', 'time_of_day_afternoon', \n",
"\t\t\t'time_of_day_early_morning', 'time_of_day_evening', \n",
"\t\t\t'time_of_day_late_morning', 'time_of_day_midnight', \n",
"\t\t\t'time_of_day_night']\n",
"\n",
"features_lags = ['hour', 'weekday', 'month', 'quarter', 'year', \n",
"\t\t\t'week_of_year', 'day_of_year', 'time_of_day_afternoon', \n",
"\t\t\t'time_of_day_early_morning', 'time_of_day_evening', \n",
"\t\t\t'time_of_day_late_morning', 'time_of_day_midnight', \n",
"\t\t\t'time_of_day_night', 'one_year', 'two_year', 'three_year']\n",
"\t\t\t\t\t\t\t \n",
"target = \"consumption\""
]
},
{
"cell_type": "markdown",
"id": "fd831280-ae7d-4b0c-b56a-25159078daff",
"metadata": {
"id": "fd831280-ae7d-4b0c-b56a-25159078daff"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Defining Training & Testing Data with Features**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c984e4ca-62d6-46d7-b7f2-f8aa7e62b5e2",
"metadata": {
"id": "c984e4ca-62d6-46d7-b7f2-f8aa7e62b5e2"
},
"outputs": [],
"source": [
"train_in = train_data[features]\n",
"train_out = train_data[target]\n",
"test_in = test_data[features]\n",
"test_out = test_data[target]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "381dc72a-6603-4c9c-a91d-5f7012e7e4dd",
"metadata": {
"id": "381dc72a-6603-4c9c-a91d-5f7012e7e4dd"
},
"outputs": [],
"source": [
"train_in_lags = train_data_lags[features_lags]\n",
"train_out_lags = train_data_lags[target]\n",
"test_in_lags = test_data_lags[features_lags]\n",
"test_out_lags = test_data_lags[target]"
]
},
{
"cell_type": "markdown",
"id": "8d1637eb-fc3e-4eb9-aa93-64961a70844f",
"metadata": {
"id": "8d1637eb-fc3e-4eb9-aa93-64961a70844f"
},
"source": [
"<a name=\"model\"></a>\n",
"\n",
"---\n",
"\n",
"**Sections:** ● [Top](#top) ● [The Data](#data) ● [Removing Outliers](#outliers) ● [Feature Engineering](#features) ● [Investigating Correlation](#correlation) ● [Lag Features](#lag_features) ● [Splitting](#splitting) ● [The Model](#model) ● [Results with Traditional Split](#traditional_results) ● [Using Cross-Validation](#cross_validation) ● [Making Future Predictions](#future_predictions) \n",
"\n",
"---\n",
"\n",
"<span style = 'background-color: purple; padding: 5px 5px 3px 5px; line-height: 1.5; color:white;border-radius: 3px;'><font size = 4>**The XGBoost Regressor Model**</font></span>"
]
},
{
"cell_type": "markdown",
"id": "9158648c-3185-4ed0-b55b-55d344a09bdf",
"metadata": {
"id": "9158648c-3185-4ed0-b55b-55d344a09bdf"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Creating the Model (without lags)**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ef9147ad-ccd1-4b63-ba81-522b70f9ec26",
"metadata": {
"id": "ef9147ad-ccd1-4b63-ba81-522b70f9ec26"
},
"outputs": [],
"source": [
"xgb_regressor = XGBRegressor(n_estimators = 1200,\n",
"\t\t\t\t\t\t\t learning_rate = 0.012, \n",
"\t\t\t\t\t\t\t early_stopping_rounds = 23)"
]
},
{
"cell_type": "markdown",
"id": "6923341b-bdac-4444-8f79-9c4eb78ad713",
"metadata": {
"id": "6923341b-bdac-4444-8f79-9c4eb78ad713"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Fitting the Model (without lags)**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "996d7234-ef58-421a-8b5a-92e8bc8407fa",
"metadata": {
"id": "996d7234-ef58-421a-8b5a-92e8bc8407fa",
"outputId": "9f3bb3ee-5084-42be-a08e-25b5fe722c77"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0]\tvalidation_0-rmse:35068.46435\tvalidation_1-rmse:29587.12720\n",
"[25]\tvalidation_0-rmse:26018.01179\tvalidation_1-rmse:21235.48885\n",
"[50]\tvalidation_0-rmse:19337.02538\tvalidation_1-rmse:15148.51055\n",
"[75]\tvalidation_0-rmse:14411.06888\tvalidation_1-rmse:10692.43309\n",
"[100]\tvalidation_0-rmse:10787.75506\tvalidation_1-rmse:7519.52345\n",
"[125]\tvalidation_0-rmse:8131.03112\tvalidation_1-rmse:5323.82623\n",
"[150]\tvalidation_0-rmse:6192.47195\tvalidation_1-rmse:3833.85620\n",
"[175]\tvalidation_0-rmse:4791.75784\tvalidation_1-rmse:2961.30137\n",
"[200]\tvalidation_0-rmse:3789.02170\tvalidation_1-rmse:2547.03297\n",
"[225]\tvalidation_0-rmse:3086.91956\tvalidation_1-rmse:2420.27304\n",
"[250]\tvalidation_0-rmse:2602.61653\tvalidation_1-rmse:2429.93979\n",
"[257]\tvalidation_0-rmse:2496.84033\tvalidation_1-rmse:2442.06684\n"
]
},
{
"data": {
"text/html": [
"<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
" colsample_bylevel=None, colsample_bynode=None,\n",
" colsample_bytree=None, early_stopping_rounds=23,\n",
" enable_categorical=False, eval_metric=None, feature_types=None,\n",
" gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
" interaction_constraints=None, learning_rate=0.012, max_bin=None,\n",
" max_cat_threshold=None, max_cat_to_onehot=None,\n",
" max_delta_step=None, max_depth=None, max_leaves=None,\n",
" min_child_weight=None, missing=nan, monotone_constraints=None,\n",
" n_estimators=1200, n_jobs=None, num_parallel_tree=None,\n",
" predictor=None, random_state=None, ...)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBRegressor</label><div class=\"sk-toggleable__content\"><pre>XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
" colsample_bylevel=None, colsample_bynode=None,\n",
" colsample_bytree=None, early_stopping_rounds=23,\n",
" enable_categorical=False, eval_metric=None, feature_types=None,\n",
" gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
" interaction_constraints=None, learning_rate=0.012, max_bin=None,\n",
" max_cat_threshold=None, max_cat_to_onehot=None,\n",
" max_delta_step=None, max_depth=None, max_leaves=None,\n",
" min_child_weight=None, missing=nan, monotone_constraints=None,\n",
" n_estimators=1200, n_jobs=None, num_parallel_tree=None,\n",
" predictor=None, random_state=None, ...)</pre></div></div></div></div></div>"
],
"text/plain": [
"XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
" colsample_bylevel=None, colsample_bynode=None,\n",
" colsample_bytree=None, early_stopping_rounds=23,\n",
" enable_categorical=False, eval_metric=None, feature_types=None,\n",
" gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
" interaction_constraints=None, learning_rate=0.012, max_bin=None,\n",
" max_cat_threshold=None, max_cat_to_onehot=None,\n",
" max_delta_step=None, max_depth=None, max_leaves=None,\n",
" min_child_weight=None, missing=nan, monotone_constraints=None,\n",
" n_estimators=1200, n_jobs=None, num_parallel_tree=None,\n",
" predictor=None, random_state=None, ...)"
]
},
"execution_count": 181,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"xgb_regressor.fit(train_in, train_out,\n",
"\t\t\t\t eval_set = [(train_in, train_out), \n",
"\t\t\t\t\t\t\t (test_in, test_out)], verbose = 25)"
]
},
{
"cell_type": "markdown",
"id": "b4991563-6241-4350-8754-db09cec48d1b",
"metadata": {
"id": "b4991563-6241-4350-8754-db09cec48d1b"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Fitting the Model (with lags)**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0ecd2bf7-8651-46f0-8c96-560c6c2c425f",
"metadata": {
"id": "0ecd2bf7-8651-46f0-8c96-560c6c2c425f"
},
"outputs": [],
"source": [
"xgb_regressor_lags = XGBRegressor(n_estimators = 1200,\n",
"\t\t\t\t\t\t\t learning_rate = 0.012, \n",
"\t\t\t\t\t\t\t early_stopping_rounds = 23)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1815b4d7-0e6e-4f85-8962-500b303f29c8",
"metadata": {
"id": "1815b4d7-0e6e-4f85-8962-500b303f29c8",
"outputId": "2611b75b-4780-4959-80fd-3ffdb02eda12"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0]\tvalidation_0-rmse:35067.37778\tvalidation_1-rmse:29621.32089\n",
"[25]\tvalidation_0-rmse:25992.89494\tvalidation_1-rmse:21982.27167\n",
"[50]\tvalidation_0-rmse:19296.64994\tvalidation_1-rmse:16362.81470\n",
"[75]\tvalidation_0-rmse:14362.19803\tvalidation_1-rmse:12236.19017\n",
"[100]\tvalidation_0-rmse:10732.97496\tvalidation_1-rmse:9220.63188\n",
"[125]\tvalidation_0-rmse:8075.19740\tvalidation_1-rmse:7039.05742\n",
"[150]\tvalidation_0-rmse:6141.15746\tvalidation_1-rmse:5477.98424\n",
"[175]\tvalidation_0-rmse:4744.45133\tvalidation_1-rmse:4392.53113\n",
"[200]\tvalidation_0-rmse:3752.23105\tvalidation_1-rmse:3673.74192\n",
"[225]\tvalidation_0-rmse:3063.21492\tvalidation_1-rmse:3212.91990\n",
"[250]\tvalidation_0-rmse:2594.90743\tvalidation_1-rmse:2925.86404\n",
"[275]\tvalidation_0-rmse:2282.94267\tvalidation_1-rmse:2750.60546\n",
"[300]\tvalidation_0-rmse:2073.32089\tvalidation_1-rmse:2662.13021\n",
"[325]\tvalidation_0-rmse:1937.22774\tvalidation_1-rmse:2611.90552\n",
"[350]\tvalidation_0-rmse:1836.60203\tvalidation_1-rmse:2585.33120\n",
"[375]\tvalidation_0-rmse:1762.79711\tvalidation_1-rmse:2569.20642\n",
"[400]\tvalidation_0-rmse:1706.81078\tvalidation_1-rmse:2561.84587\n",
"[425]\tvalidation_0-rmse:1670.78904\tvalidation_1-rmse:2555.93349\n",
"[450]\tvalidation_0-rmse:1644.08868\tvalidation_1-rmse:2551.10259\n",
"[475]\tvalidation_0-rmse:1621.20190\tvalidation_1-rmse:2548.89837\n",
"[500]\tvalidation_0-rmse:1604.13354\tvalidation_1-rmse:2547.76779\n",
"[525]\tvalidation_0-rmse:1587.04879\tvalidation_1-rmse:2549.01441\n",
"[531]\tvalidation_0-rmse:1583.52664\tvalidation_1-rmse:2549.17672\n"
]
},
{
"data": {
"text/html": [
"<style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
" colsample_bylevel=None, colsample_bynode=None,\n",
" colsample_bytree=None, early_stopping_rounds=23,\n",
" enable_categorical=False, eval_metric=None, feature_types=None,\n",
" gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
" interaction_constraints=None, learning_rate=0.012, max_bin=None,\n",
" max_cat_threshold=None, max_cat_to_onehot=None,\n",
" max_delta_step=None, max_depth=None, max_leaves=None,\n",
" min_child_weight=None, missing=nan, monotone_constraints=None,\n",
" n_estimators=1200, n_jobs=None, num_parallel_tree=None,\n",
" predictor=None, random_state=None, ...)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBRegressor</label><div class=\"sk-toggleable__content\"><pre>XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
" colsample_bylevel=None, colsample_bynode=None,\n",
" colsample_bytree=None, early_stopping_rounds=23,\n",
" enable_categorical=False, eval_metric=None, feature_types=None,\n",
" gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
" interaction_constraints=None, learning_rate=0.012, max_bin=None,\n",
" max_cat_threshold=None, max_cat_to_onehot=None,\n",
" max_delta_step=None, max_depth=None, max_leaves=None,\n",
" min_child_weight=None, missing=nan, monotone_constraints=None,\n",
" n_estimators=1200, n_jobs=None, num_parallel_tree=None,\n",
" predictor=None, random_state=None, ...)</pre></div></div></div></div></div>"
],
"text/plain": [
"XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
" colsample_bylevel=None, colsample_bynode=None,\n",
" colsample_bytree=None, early_stopping_rounds=23,\n",
" enable_categorical=False, eval_metric=None, feature_types=None,\n",
" gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
" interaction_constraints=None, learning_rate=0.012, max_bin=None,\n",
" max_cat_threshold=None, max_cat_to_onehot=None,\n",
" max_delta_step=None, max_depth=None, max_leaves=None,\n",
" min_child_weight=None, missing=nan, monotone_constraints=None,\n",
" n_estimators=1200, n_jobs=None, num_parallel_tree=None,\n",
" predictor=None, random_state=None, ...)"
]
},
"execution_count": 183,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"xgb_regressor_lags.fit(train_in_lags, train_out_lags,\n",
"\t\t\t\t eval_set = [(train_in_lags, train_out_lags), \n",
"\t\t\t\t\t\t\t (test_in_lags, test_out_lags)], \n",
"\t\t\t\t verbose = 25)"
]
},
{
"cell_type": "markdown",
"id": "84643a9f-c395-45f7-ad3a-3f8f93e47c59",
"metadata": {
"id": "84643a9f-c395-45f7-ad3a-3f8f93e47c59"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Feature Importance (without lags)**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c6ccccd6-fbf4-414a-ae68-c3efdfaa0d60",
"metadata": {
"id": "c6ccccd6-fbf4-414a-ae68-c3efdfaa0d60",
"outputId": "a1702c96-90c3-44a6-c6f2-e68b0213c1e9"
},
"outputs": [
{
"data": {
"text/html": [
"<center><style type=\"text/css\">\n",
"#T_7b8a9 caption {\n",
" background: #333333;\n",
" border-radius: 3px;\n",
" padding: 5px;\n",
" color: white;\n",
" font-size: 15px;\n",
" font-weight: bold;\n",
"}\n",
"</style>\n",
"<table id=\"T_7b8a9\" style='display:inline-block'>\n",
" <caption>Feature Importance (no lags)</caption>\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th id=\"T_7b8a9_level0_col0\" class=\"col_heading level0 col0\" >importance</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_7b8a9_level0_row0\" class=\"row_heading level0 row0\" >hour</th>\n",
" <td id=\"T_7b8a9_row0_col0\" class=\"data row0 col0\" >0.3328</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7b8a9_level0_row1\" class=\"row_heading level0 row1\" >week_of_year</th>\n",
" <td id=\"T_7b8a9_row1_col0\" class=\"data row1 col0\" >0.2212</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7b8a9_level0_row2\" class=\"row_heading level0 row2\" >day_of_year</th>\n",
" <td id=\"T_7b8a9_row2_col0\" class=\"data row2 col0\" >0.1193</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7b8a9_level0_row3\" class=\"row_heading level0 row3\" >weekday</th>\n",
" <td id=\"T_7b8a9_row3_col0\" class=\"data row3 col0\" >0.1191</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7b8a9_level0_row4\" class=\"row_heading level0 row4\" >year</th>\n",
" <td id=\"T_7b8a9_row4_col0\" class=\"data row4 col0\" >0.1179</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7b8a9_level0_row5\" class=\"row_heading level0 row5\" >month</th>\n",
" <td id=\"T_7b8a9_row5_col0\" class=\"data row5 col0\" >0.0498</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7b8a9_level0_row6\" class=\"row_heading level0 row6\" >time_of_day_afternoon</th>\n",
" <td id=\"T_7b8a9_row6_col0\" class=\"data row6 col0\" >0.0147</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7b8a9_level0_row7\" class=\"row_heading level0 row7\" >time_of_day_evening</th>\n",
" <td id=\"T_7b8a9_row7_col0\" class=\"data row7 col0\" >0.0127</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7b8a9_level0_row8\" class=\"row_heading level0 row8\" >time_of_day_late_morning</th>\n",
" <td id=\"T_7b8a9_row8_col0\" class=\"data row8 col0\" >0.0125</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"&nbsp;&nbsp;&nbsp;<style type=\"text/css\">\n",
"#T_7c701 caption {\n",
" background: #333333;\n",
" border-radius: 3px;\n",
" padding: 5px;\n",
" color: white;\n",
" font-size: 15px;\n",
" font-weight: bold;\n",
"}\n",
"</style>\n",
"<table id=\"T_7c701\" style='display:inline-block'>\n",
" <caption>Feature Importance (with lags)</caption>\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" >&nbsp;</th>\n",
" <th id=\"T_7c701_level0_col0\" class=\"col_heading level0 col0\" >importance</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th id=\"T_7c701_level0_row0\" class=\"row_heading level0 row0\" >hour</th>\n",
" <td id=\"T_7c701_row0_col0\" class=\"data row0 col0\" >0.3328</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7c701_level0_row1\" class=\"row_heading level0 row1\" >week_of_year</th>\n",
" <td id=\"T_7c701_row1_col0\" class=\"data row1 col0\" >0.2212</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7c701_level0_row2\" class=\"row_heading level0 row2\" >day_of_year</th>\n",
" <td id=\"T_7c701_row2_col0\" class=\"data row2 col0\" >0.1193</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7c701_level0_row3\" class=\"row_heading level0 row3\" >weekday</th>\n",
" <td id=\"T_7c701_row3_col0\" class=\"data row3 col0\" >0.1191</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7c701_level0_row4\" class=\"row_heading level0 row4\" >year</th>\n",
" <td id=\"T_7c701_row4_col0\" class=\"data row4 col0\" >0.1179</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7c701_level0_row5\" class=\"row_heading level0 row5\" >month</th>\n",
" <td id=\"T_7c701_row5_col0\" class=\"data row5 col0\" >0.0498</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7c701_level0_row6\" class=\"row_heading level0 row6\" >time_of_day_afternoon</th>\n",
" <td id=\"T_7c701_row6_col0\" class=\"data row6 col0\" >0.0147</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7c701_level0_row7\" class=\"row_heading level0 row7\" >time_of_day_evening</th>\n",
" <td id=\"T_7c701_row7_col0\" class=\"data row7 col0\" >0.0127</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_7c701_level0_row8\" class=\"row_heading level0 row8\" >time_of_day_late_morning</th>\n",
" <td id=\"T_7c701_row8_col0\" class=\"data row8 col0\" >0.0125</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"&nbsp;&nbsp;&nbsp;"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"feature_importance = pd.DataFrame(data = xgb_regressor.feature_importances_,\n",
"\t\t\t\t\t\t\t\t\tindex = xgb_regressor.feature_names_in_,\n",
"\t\t\t\t\t\t\t\t\tcolumns = ['importance'])\n",
"\n",
"feature_importance = feature_importance[feature_importance.importance > 0.0005]\n",
"\n",
"multi([(feature_importance.sort_values('importance', ascending = False), \n",
"\t\t'Feature Importance (no lags)'),\n",
"\t (feature_importance_lags.sort_values('importance', ascending = False), \n",
"\t\t'Feature Importance (with lags)')], precision = 4)"
]
},
{
"cell_type": "markdown",
"id": "8b1eca9a-2c51-4050-a987-ab9c9f0281d7",
"metadata": {
"id": "8b1eca9a-2c51-4050-a987-ab9c9f0281d7"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Plotting Feature Importance**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "edbb9488-88b3-424f-b80f-546fc5cae09a",
"metadata": {
"id": "edbb9488-88b3-424f-b80f-546fc5cae09a",
"outputId": "daaf0d98-1566-45d2-e83c-fbbf0878ca66"
},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize = (13, 7), facecolor = '#333333')\n",
"ax.set_facecolor('#444444')\n",
"\n",
"feature_importance.sort_values('importance').plot(kind = 'barh', \n",
"\t\t\t\t\t\t\t\t\t\t\t\t color = 'cyan', \n",
"\t\t\t\t\t\t\t\t\t\t\t\t ax = ax)\n",
"ax.grid()\n",
"plt.xlabel('years', color = 'white', fontsize = 15)\n",
"plt.ylabel('energy usage', color = 'white', fontsize = 15)\n",
"plt.xticks(color='white', size = 13); plt.yticks(color='white', size = 13);\n",
"plt.title('Feature Importance Without Lags', fontsize = 20, pad = 20, color = 'white');\n",
"plt.legend().remove()"
]
},
{
"cell_type": "markdown",
"id": "9d5586a8-a75d-48ab-8b11-7779c64e0a1e",
"metadata": {
"id": "9d5586a8-a75d-48ab-8b11-7779c64e0a1e"
},
"source": [
"<a name=\"traditional_results\"></a>\n",
"\n",
"---\n",
"\n",
"**Sections:** ● [Top](#top) ● [The Data](#data) ● [Feature Engineering](#features) ● [Investigating Correlation](#correlation) ● [Lag Features](#lag_features) ● [Splitting](#splitting) ● [The Model](#model) ● [Results with Traditional Split](#traditional_results) ● [Using Cross-Validation](#cross_validation) ● [Making Future Predictions](#future_predictions) \n",
"\n",
"---\n",
"\n",
"<span style = 'background-color: purple; padding: 5px 5px 3px 5px; line-height: 1.5; color:white;border-radius: 3px;'><font size = 4>**Results with Traditional Train-Test Split**</font></span>\n",
"* Because there is no benefit to having the lag data added, for the remainder of the project, I will be working with only the data without lags added."
]
},
{
"cell_type": "markdown",
"id": "c917667d-9d4f-4ea6-82bd-8c4091ffd9d4",
"metadata": {
"id": "c917667d-9d4f-4ea6-82bd-8c4091ffd9d4"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Predicting with Test Data**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "994c7906-3255-4abd-be45-0b3395e2cdb7",
"metadata": {
"id": "994c7906-3255-4abd-be45-0b3395e2cdb7"
},
"outputs": [],
"source": [
"test_data['prediction'] = xgb_regressor.predict(test_in)"
]
},
{
"cell_type": "markdown",
"id": "741a9ca9-8d83-4f1e-a95b-835506716ab5",
"metadata": {
"id": "741a9ca9-8d83-4f1e-a95b-835506716ab5"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Merging Predictions into Original DF**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "767c05aa-dd7b-44c0-9dfd-c4e420c62fec",
"metadata": {
"id": "767c05aa-dd7b-44c0-9dfd-c4e420c62fec"
},
"outputs": [],
"source": [
"df = df.merge(test_data['prediction'], \n",
"\t\t\t how = 'left', \n",
"\t\t\t left_index = True,\n",
"\t\t\t right_index = True)"
]
},
{
"cell_type": "markdown",
"id": "3b21a912-bbd1-4137-bc53-e6a458e4d2bb",
"metadata": {
"id": "3b21a912-bbd1-4137-bc53-e6a458e4d2bb"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Plotting Predictions vs Original Data**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "002bafbd-45cc-46a2-b7a9-ffca685edb19",
"metadata": {
"id": "002bafbd-45cc-46a2-b7a9-ffca685edb19",
"outputId": "98d67f82-905f-47c2-96ff-ee0d22216873"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1300x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(facecolor = '#333333');\n",
"ax = df['consumption'].plot(figsize = (13, 7), color = 'cyan');\n",
"ax.set_facecolor('#444444');\n",
"df['prediction'].plot(ax = ax, style = '.', color = 'deeppink');\n",
"plt.legend();\n",
"ax.grid()\n",
"plt.xlabel('years', color = 'white', fontsize = 15)\n",
"plt.ylabel('energy usage', color = 'white', fontsize = 15)\n",
"plt.xticks(color='white', size = 13); plt.yticks(color='white', size = 13);\n",
"plt.title('Train-Test Split', fontsize = 20, pad = 20, color = 'white');\n",
"plt.legend().remove()\n",
"ax.set_title('Actual Data vs Predicted', color = 'white', size = 20, pad = 20);"
]
},
{
"cell_type": "markdown",
"id": "e5ce4964-5b95-41a6-8b92-10ec990bce21",
"metadata": {
"id": "e5ce4964-5b95-41a6-8b92-10ec990bce21"
},
"source": [
"<font size = 4><span style = 'background-color: #ddddff; padding: 5px 5px 3px 5px; line-height: 1.5; color:black;border-radius: 3px;'>**Predictions vs Targets: One Week Excerpt**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4219c5ea-54a6-486e-900b-f57b161cf1bd",
"metadata": {
"id": "4219c5ea-54a6-486e-900b-f57b161cf1bd",
"outputId": "82c34cda-982e-483e-c9e7-76dca9b290c5"
},
"outputs": [
{
"data": {
"image/png": 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