diff --git "a/Lab2_ML.ipynb" "b/Lab2_ML.ipynb" new file mode 100644--- /dev/null +++ "b/Lab2_ML.ipynb" @@ -0,0 +1,5354 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "596_nIV4X39M", + "metadata": { + "id": "596_nIV4X39M" + }, + "source": [ + "# CO2 Emissions by Vehicles - Regression Analysis for Lab 2\n", + "\n", + "This notebook analyzes the *CO2 Emissions Canada* dataset using multiple linear regression. The goal is to explain and predict **CO2 Emissions (g/km)** from vehicle characteristics.\n" + ] + }, + { + "cell_type": "markdown", + "id": "98d16db7", + "metadata": { + "id": "98d16db7" + }, + "source": [ + "## Modeling principle\n", + "\n", + "The analysis emphasizes **regression interpretation**, not only prediction accuracy. Model choice is based on predictive performance, parsimony, and diagnostics.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "TC4YkMH-X39T", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:03.259905Z", + "iopub.status.busy": "2026-03-24T12:15:03.259255Z", + "iopub.status.idle": "2026-03-24T12:15:11.764070Z", + "shell.execute_reply": "2026-03-24T12:15:11.762826Z" + }, + "id": "TC4YkMH-X39T" + }, + "outputs": [], + "source": [ + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "from IPython.display import display\n", + "\n", + "from sklearn.model_selection import train_test_split, KFold, cross_validate\n", + "from sklearn.compose import ColumnTransformer, TransformedTargetRegressor\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.preprocessing import OneHotEncoder, PolynomialFeatures\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n", + "\n", + "import statsmodels.api as sm\n", + "from statsmodels.stats.outliers_influence import variance_inflation_factor\n", + "\n", + "sns.set_theme(style=\"whitegrid\")\n", + "pd.set_option(\"display.max_columns\", None)\n", + "from statsmodels.stats.diagnostic import het_breuschpagan" + ] + }, + { + "cell_type": "markdown", + "id": "dzt__lv3X39W", + "metadata": { + "id": "dzt__lv3X39W" + }, + "source": [ + "## 1. Load dataset\n", + "\n", + "Load the dataset and inspect the first rows.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6DUsdUHzX39Y", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 241 + }, + "execution": { + "iopub.execute_input": "2026-03-24T12:15:11.768674Z", + "iopub.status.busy": "2026-03-24T12:15:11.768237Z", + "iopub.status.idle": "2026-03-24T12:15:11.860635Z", + "shell.execute_reply": "2026-03-24T12:15:11.859785Z" + }, + "id": "6DUsdUHzX39Y", + "outputId": "c598120c-526f-49b1-f140-72da5ac5ac5c" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Year Make Model Vehicle Class Engine Size(L) Cylinders Transmission \\\n", + "0 2000 ACURA 1.6EL COMPACT 1.6 4 A4 \n", + "1 2000 ACURA 1.6EL COMPACT 1.6 4 M5 \n", + "2 2000 ACURA 3.2TL MID-SIZE 3.2 6 AS5 \n", + "3 2000 ACURA 3.5RL MID-SIZE 3.5 6 A4 \n", + "4 2000 ACURA INTEGRA SUBCOMPACT 1.8 4 A4 \n", + "\n", + " Fuel Type Fuel Consumption City (L/100 km) \\\n", + "0 X 9.2 \n", + "1 X 8.5 \n", + "2 Z 12.2 \n", + "3 Z 13.4 \n", + "4 X 10.0 \n", + "\n", + " Fuel Consumption Hwy (L/100 km) Fuel Consumption Comb (L/100 km) \\\n", + "0 6.7 8.1 \n", + "1 6.5 7.6 \n", + "2 7.4 10.0 \n", + "3 9.2 11.5 \n", + "4 7.0 8.6 \n", + "\n", + " Fuel Consumption Comb (mpg) CO2 Emissions(g/km) \n", + "0 35 186 \n", + "1 37 175 \n", + "2 28 230 \n", + "3 25 264 \n", + "4 33 198 " + ], + "text/html": [ + "\n", + "
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YearMakeModelVehicle ClassEngine Size(L)CylindersTransmissionFuel TypeFuel Consumption City (L/100 km)Fuel Consumption Hwy (L/100 km)Fuel Consumption Comb (L/100 km)Fuel Consumption Comb (mpg)CO2 Emissions(g/km)
02000ACURA1.6ELCOMPACT1.64A4X9.26.78.135186
12000ACURA1.6ELCOMPACT1.64M5X8.56.57.637175
22000ACURA3.2TLMID-SIZE3.26AS5Z12.27.410.028230
32000ACURA3.5RLMID-SIZE3.56A4Z13.49.211.525264
42000ACURAINTEGRASUBCOMPACT1.84A4X10.07.08.633198
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Basic information\n", + "\n", + "Check the dataset shape, variables, data types, and summary statistics.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "jF3wyKxKX39c", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:11.865113Z", + "iopub.status.busy": "2026-03-24T12:15:11.864534Z", + "iopub.status.idle": "2026-03-24T12:15:11.871620Z", + "shell.execute_reply": "2026-03-24T12:15:11.870604Z" + }, + "id": "jF3wyKxKX39c", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "2d36940a-4d46-48bc-c8bc-51640e52ea0e" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Shape: (22556, 13)\n", + "\n", + "Columns:\n", + "['Year', 'Make', 'Model', 'Vehicle Class', 'Engine Size(L)', 'Cylinders', 'Transmission', 'Fuel Type', 'Fuel Consumption City (L/100 km)', 'Fuel Consumption Hwy (L/100 km)', 'Fuel Consumption Comb (L/100 km)', 'Fuel Consumption Comb (mpg)', 'CO2 Emissions(g/km)']\n" + ] + } + ], + "source": [ + "print(\"Shape:\", df.shape)\n", + "print(\"\\nColumns:\")\n", + "print(df.columns.tolist())" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "wWqIov7NX39d", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:11.874632Z", + "iopub.status.busy": "2026-03-24T12:15:11.874313Z", + "iopub.status.idle": "2026-03-24T12:15:11.908371Z", + "shell.execute_reply": "2026-03-24T12:15:11.907540Z" + }, + "id": "wWqIov7NX39d", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "f69f2c7c-398b-4d0f-f414-4be8b5b16904" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 22556 entries, 0 to 22555\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Year 22556 non-null int64 \n", + " 1 Make 22556 non-null object \n", + " 2 Model 22556 non-null object \n", + " 3 Vehicle Class 22556 non-null object \n", + " 4 Engine Size(L) 22556 non-null float64\n", + " 5 Cylinders 22556 non-null int64 \n", + " 6 Transmission 22556 non-null object \n", + " 7 Fuel Type 22556 non-null object \n", + " 8 Fuel Consumption City (L/100 km) 22556 non-null float64\n", + " 9 Fuel Consumption Hwy (L/100 km) 22556 non-null float64\n", + " 10 Fuel Consumption Comb (L/100 km) 22556 non-null float64\n", + " 11 Fuel Consumption Comb (mpg) 22556 non-null int64 \n", + " 12 CO2 Emissions(g/km) 22556 non-null int64 \n", + "dtypes: float64(4), int64(4), object(5)\n", + "memory usage: 2.2+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "xkNn2xMNX39e", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:11.911836Z", + "iopub.status.busy": "2026-03-24T12:15:11.911208Z", + "iopub.status.idle": "2026-03-24T12:15:11.960097Z", + "shell.execute_reply": "2026-03-24T12:15:11.959343Z" + }, + "id": "xkNn2xMNX39e", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 457 + }, + "outputId": "366797ef-24aa-4174-c3b1-809167f7fb94" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " count unique top freq \\\n", + "Year 22556.0 NaN NaN NaN \n", + "Make 22556 87 CHEVROLET 1725 \n", + "Model 22556 4242 JETTA 89 \n", + "Vehicle Class 22556 32 SUV 2640 \n", + "Engine Size(L) 22556.0 NaN NaN NaN \n", + "Cylinders 22556.0 NaN NaN NaN \n", + "Transmission 22556 30 A4 3519 \n", + "Fuel Type 22556 5 X 11822 \n", + "Fuel Consumption City (L/100 km) 22556.0 NaN NaN NaN \n", + "Fuel Consumption Hwy (L/100 km) 22556.0 NaN NaN NaN \n", + "Fuel Consumption Comb (L/100 km) 22556.0 NaN NaN NaN \n", + "Fuel Consumption Comb (mpg) 22556.0 NaN NaN NaN \n", + "CO2 Emissions(g/km) 22556.0 NaN NaN NaN \n", + "\n", + " mean std min 25% \\\n", + "Year 2011.554442 6.298269 2000.0 2006.0 \n", + "Make NaN NaN NaN NaN \n", + "Model NaN NaN NaN NaN \n", + "Vehicle Class NaN NaN NaN NaN \n", + "Engine Size(L) 3.356646 1.335425 0.8 2.3 \n", + "Cylinders 5.854141 1.819597 2.0 4.0 \n", + "Transmission NaN NaN NaN NaN \n", + "Fuel Type NaN NaN NaN NaN \n", + "Fuel Consumption City (L/100 km) 12.763513 3.500999 3.5 10.4 \n", + "Fuel Consumption Hwy (L/100 km) 8.919126 2.274764 3.2 7.3 \n", + "Fuel Consumption Comb (L/100 km) 11.034341 2.91092 3.6 9.1 \n", + "Fuel Consumption Comb (mpg) 27.374534 7.376982 11.0 22.0 \n", + "CO2 Emissions(g/km) 250.068452 59.355276 83.0 209.0 \n", + "\n", + " 50% 75% max \n", + "Year 2012.0 2017.0 2022.0 \n", + "Make NaN NaN NaN \n", + "Model NaN NaN NaN \n", + "Vehicle Class NaN NaN NaN \n", + "Engine Size(L) 3.0 4.2 8.4 \n", + "Cylinders 6.0 8.0 16.0 \n", + "Transmission NaN NaN NaN \n", + "Fuel Type NaN NaN NaN \n", + "Fuel Consumption City (L/100 km) 12.3 14.725 30.6 \n", + "Fuel Consumption Hwy (L/100 km) 8.4 10.2 20.9 \n", + "Fuel Consumption Comb (L/100 km) 10.6 12.7 26.1 \n", + "Fuel Consumption Comb (mpg) 27.0 31.0 78.0 \n", + "CO2 Emissions(g/km) 243.0 288.0 608.0 " + ], + "text/html": [ + "\n", + "
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YearMakeModelVehicle ClassEngine Size(L)CylindersTransmissionFuel TypeFuel Consumption City (L/100 km)Fuel Consumption Hwy (L/100 km)Fuel Consumption Comb (L/100 km)Fuel Consumption Comb (mpg)CO2 Emissions(g/km)
3772000LAND ROVERDISCOVERY SERIES II 4X4SUV4.08A4Z17.712.715.418354
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Preprocessing decisions\n", + "\n", + "For this analysis:\n", + "\n", + "- **CO2 Emissions(g/km)** is the response.\n", + "- Numeric predictors are used directly.\n", + "- Categorical predictors are one-hot encoded.\n", + "- Preprocessing is included in the modeling pipeline." + ] + }, + { + "cell_type": "code", + "source": [ + "df['Make'] = df['Make'].apply(lambda v: v.upper())\n", + "df[\"Vehicle Class\"] = df[\"Vehicle Class\"].apply(lambda v: v.upper().replace(': ', ' - '))" + ], + "metadata": { + "id": "XdEBBuyYxXsG" + }, + "id": "XdEBBuyYxXsG", + "execution_count": 9, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "ed9457db", + "metadata": { + "id": "ed9457db", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 224 + }, + "outputId": "691fc221-326a-4cfd-ec98-7ae521ae6690" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Engine Size(L) Cylinders Fuel Consumption City (L/100 km) \\\n", + "0 1.6 4 9.2 \n", + "1 1.6 4 8.5 \n", + "2 3.2 6 12.2 \n", + "3 3.5 6 13.4 \n", + "4 1.8 4 10.0 \n", + "\n", + " Fuel Consumption Hwy (L/100 km) Fuel Consumption Comb (L/100 km) \\\n", + "0 6.7 8.1 \n", + "1 6.5 7.6 \n", + "2 7.4 10.0 \n", + "3 9.2 11.5 \n", + "4 7.0 8.6 \n", + "\n", + " Fuel Consumption Comb (mpg) Vehicle Class Transmission Fuel Type \\\n", + "0 35 COMPACT A4 X \n", + "1 37 COMPACT M5 X \n", + "2 28 MID-SIZE AS5 Z \n", + "3 25 MID-SIZE A4 Z \n", + "4 33 SUBCOMPACT A4 X \n", + "\n", + " CO2 Emissions(g/km) Engine Size x Fuel Consumption \n", + "0 186 12.96 \n", + "1 175 12.16 \n", + "2 230 32.00 \n", + "3 264 40.25 \n", + "4 198 15.48 " + ], + "text/html": [ + "\n", + "
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "selected_df", + "summary": "{\n \"name\": \"selected_df\",\n \"rows\": 22555,\n \"fields\": [\n {\n \"column\": \"Engine Size(L)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.3354479090270288,\n \"min\": 0.8,\n \"max\": 8.4,\n \"num_unique_values\": 63,\n \"samples\": [\n 2.1,\n 1.4,\n 1.6\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Cylinders\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1,\n \"min\": 2,\n \"max\": 16,\n \"num_unique_values\": 9,\n \"samples\": [\n 2,\n 6,\n 10\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Fuel Consumption City (L/100 km)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3.5009221174925758,\n \"min\": 3.5,\n \"max\": 30.6,\n \"num_unique_values\": 228,\n \"samples\": [\n 20.0,\n 12.6,\n 11.4\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Fuel Consumption Hwy (L/100 km)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.2746749669673,\n \"min\": 3.2,\n \"max\": 20.9,\n \"num_unique_values\": 152,\n \"samples\": [\n 13.5,\n 18.1,\n 15.4\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Fuel Consumption Comb (L/100 km)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.9108393463859206,\n \"min\": 3.6,\n \"max\": 26.1,\n \"num_unique_values\": 192,\n \"samples\": [\n 9.4,\n 19.7,\n 15.2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Fuel Consumption Comb (mpg)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 7,\n \"min\": 11,\n \"max\": 78,\n \"num_unique_values\": 59,\n \"samples\": [\n 35,\n 34,\n 47\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Vehicle Class\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 17,\n \"samples\": [\n \"COMPACT\",\n \"MID-SIZE\",\n \"TWO-SEATER\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Transmission\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 30,\n \"samples\": [\n \"A10\",\n \"M4\",\n \"AS9\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Fuel Type\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"Z\",\n \"D\",\n \"E\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CO2 Emissions(g/km)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 59,\n \"min\": 83,\n \"max\": 608,\n \"num_unique_values\": 358,\n \"samples\": [\n 256,\n 235,\n 332\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Engine Size x Fuel Consumption\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 25.543242545390715,\n \"min\": 3.3600000000000003,\n \"max\": 208.8,\n \"num_unique_values\": 2081,\n \"samples\": [\n 9.94,\n 56.760000000000005,\n 14.880000000000003\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 10 + } + ], + "source": [ + "target = \"CO2 Emissions(g/km)\"\n", + "\n", + "numeric_cols = [\n", + " \"Engine Size(L)\",\n", + " \"Cylinders\",\n", + " \"Fuel Consumption City (L/100 km)\",\n", + " \"Fuel Consumption Hwy (L/100 km)\",\n", + " \"Fuel Consumption Comb (L/100 km)\",\n", + " \"Fuel Consumption Comb (mpg)\"\n", + "]\n", + "\n", + "categorical_cols = [\n", + " \"Vehicle Class\",\n", + " \"Transmission\",\n", + " \"Fuel Type\"\n", + "]\n", + "\n", + "selected_df = df[numeric_cols + categorical_cols + [target]].copy()\n", + "selected_df[\"Engine Size x Fuel Consumption\"] = (\n", + " selected_df[\"Engine Size(L)\"] * selected_df[\"Fuel Consumption Comb (L/100 km)\"]\n", + ")\n", + "selected_df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "5KYG84AKX39i", + "metadata": { + "id": "5KYG84AKX39i" + }, + "source": [ + "## 5. Exploratory Data Analysis (EDA)\n", + "\n", + "Use simple plots to inspect the response distribution, relationships with key predictors, and overall correlation structure.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "-wibm_gfX39i", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:12.046030Z", + "iopub.status.busy": "2026-03-24T12:15:12.045716Z", + "iopub.status.idle": "2026-03-24T12:15:12.429361Z", + "shell.execute_reply": "2026-03-24T12:15:12.428207Z" + }, + "id": "-wibm_gfX39i", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 496 + }, + "outputId": "926c3cb9-296c-4f21-ac8f-74465765f215" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ], + "source": [ + "plt.figure(figsize=(8, 5))\n", + "plt.hist(df[\"CO2 Emissions(g/km)\"], bins=30)\n", + "plt.title(\"Distribution of CO2 Emissions\")\n", + "plt.xlabel(\"CO2 Emissions (g/km)\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "source": [ + "- CO2 emissions have a rightward-skewed distribution, peaking at approximately 240 g/km and exhibiting a long tail.\n", + "- The data focuses heavily on the 200-300g/km range.\n", + "- Outliers focus on values ​​of 400 and above." + ], + "metadata": { + "id": "cutHZGeFfIBu" + }, + "id": "cutHZGeFfIBu" + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "aaVV7qWHX39j", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:12.433451Z", + "iopub.status.busy": "2026-03-24T12:15:12.433017Z", + "iopub.status.idle": "2026-03-24T12:15:12.628374Z", + "shell.execute_reply": "2026-03-24T12:15:12.627055Z" + }, + "id": "aaVV7qWHX39j", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 496 + }, + "outputId": "59d7662d-960b-4ff4-aba6-8c4da60ae119" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ], + "source": [ + "plt.figure(figsize=(7, 5))\n", + "plt.scatter(df[\"Engine Size(L)\"], df[\"CO2 Emissions(g/km)\"], alpha=0.6)\n", + "plt.title(\"Engine Size vs CO2 Emissions\")\n", + "plt.xlabel(\"Engine Size(L)\")\n", + "plt.ylabel(\"CO2 Emissions(g/km)\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "source": [ + "- There is a clear positive relationship: The larger the engine size, the higher the CO₂ emissions.\n", + "- As Engine Size increases, the data becomes sparser and more dispersed.\n", + "- Some outliers appear in the large engine (≈7–8L) with very high CO₂ levels." + ], + "metadata": { + "id": "FhwS-JWliO7V" + }, + "id": "FhwS-JWliO7V" + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "HI6w4nsaX39j", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:12.632369Z", + "iopub.status.busy": "2026-03-24T12:15:12.631990Z", + "iopub.status.idle": "2026-03-24T12:15:12.795106Z", + "shell.execute_reply": "2026-03-24T12:15:12.794077Z" + }, + "id": "HI6w4nsaX39j", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 496 + }, + "outputId": "fa93a480-c2d6-44e0-8fb3-ee9e4b514567" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ], + "source": [ + "plt.figure(figsize=(7, 5))\n", + "plt.scatter(df[\"Fuel Consumption Comb (L/100 km)\"], df[\"CO2 Emissions(g/km)\"], alpha=0.6)\n", + "plt.title(\"Fuel Consumption (Combined) vs CO2 Emissions\")\n", + "plt.xlabel(\"Fuel Consumption Comb (L/100 km)\")\n", + "plt.ylabel(\"CO2 Emissions(g/km)\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "source": [ + "- There is a very strong linear relationship between Fuel Consumption and CO₂.\n", + "- The data forms parallel lines, so it's possible the problem is due to different Fuel Type or Vehicle Class.\n", + "- Because the dispersion is small, the prediction model will be very accurate.\n", + "- There are a few slight misalignments and outliers, but nothing that affects the overall performance significantly." + ], + "metadata": { + "id": "QgQnY9tqi9P_" + }, + "id": "QgQnY9tqi9P_" + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "FJwSzS3-X39k", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:12.799806Z", + "iopub.status.busy": "2026-03-24T12:15:12.799377Z", + "iopub.status.idle": "2026-03-24T12:15:13.195677Z", + "shell.execute_reply": "2026-03-24T12:15:13.194534Z" + }, + "id": "FJwSzS3-X39k", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 886 + }, + "outputId": "2e0a94e1-3c1a-4557-c53e-447d2b2f59b9" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ], + "source": [ + "plt.figure(figsize=(10, 7))\n", + "numeric_df = df.select_dtypes(include=np.number)\n", + "sns.heatmap(numeric_df.corr(), annot=True, fmt=\".2f\", cmap=\"coolwarm\")\n", + "plt.title(\"Correlation Matrix\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "source": [ + "- CO₂ emissions are strongly correlated with fuel consumption variables (≈0.89–0.92), which are the most important group of variables.\n", + "- Engine size and cylinders also correlated strongly with CO₂ (≈0.80+), which was significant but weaker than with fuel.\n", + "- The fuel variables (City, Hwy, Comb) are highly correlated with each other (≈0.94–0.99), which may indicate multicollinearity.\n", + "- The strong negative correlation between Fuel Consumption (mpg) and Fuel Consumption (~ -0.90) is reasonable because higher mpg indicates lower fuel consumption.\n", + "- The year is almost irrelevant and can therefore be removed from the model." + ], + "metadata": { + "id": "m7AQ2xghkFuA" + }, + "id": "m7AQ2xghkFuA" + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "oZDE1wBuX39l", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:13.200559Z", + "iopub.status.busy": "2026-03-24T12:15:13.200063Z", + "iopub.status.idle": "2026-03-24T12:15:13.478352Z", + "shell.execute_reply": "2026-03-24T12:15:13.475959Z" + }, + "id": "oZDE1wBuX39l", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 601 + }, + "outputId": "c6347d4e-2ce7-43b5-e2b7-3524a8ba2fde" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ], + "source": [ + "top_vehicle_classes = df[\"Vehicle Class\"].value_counts().head(10).index\n", + "df_top = df[df[\"Vehicle Class\"].isin(top_vehicle_classes)]\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "sns.boxplot(\n", + " data=df_top,\n", + " x=\"Vehicle Class\",\n", + " y=\"CO2 Emissions(g/km)\",\n", + " palette=\"Set2\",\n", + " hue=\"Vehicle Class\",\n", + " legend=False\n", + ")\n", + "\n", + "plt.title(\"CO2 Emissions by Vehicle Class (Top 10 Classes)\", fontsize=14)\n", + "plt.xticks(rotation=45, ha='right')\n", + "plt.xlabel(\"Vehicle Class\")\n", + "plt.ylabel(\"CO2 Emissions(g/km)\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "source": [ + "- CO₂ emissions differ significantly by vehicle class.\n", + "- Pickup trucks, SUVs, and two-seaters have the highest median because large/high-performance vehicles have higher emissions.\n", + "- Compact and subcompact vehicles have lower CO₂ levels because smaller vehicles are more fuel-efficient.\n", + "- The large dispersion within each group means there are still differences within each vehicle type.\n", + "- There are many high outliers across vehicle groups." + ], + "metadata": { + "id": "_Uc5rg5Tl9Zl" + }, + "id": "_Uc5rg5Tl9Zl" + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(10, 6))\n", + "sns.boxplot(\n", + " x=\"Fuel Type\",\n", + " y=\"CO2 Emissions(g/km)\",\n", + " data=df,\n", + " palette=\"Set2\"\n", + ")\n", + "\n", + "plt.title(\"CO2 Emissions by Fuel Type\")\n", + "plt.xlabel(\"Fuel Type\")\n", + "plt.ylabel(\"CO2 Emissions(g/km)\")\n", + "plt.show()" + ], + "metadata": { + "id": "ZTKhX8N1z3m2", + "outputId": "e80df6ab-9a9d-4979-b949-085606a040f3", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 573 + } + }, + "id": "ZTKhX8N1z3m2", + "execution_count": 16, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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yknRxtGzFihWaPHmyNm/erKioKF24cEGHDh3SypUrNXfu3HJ1c2gAFQ+BCwDK2F133aXly5dr3rx5Wr16tT7//HN5e3srPDxczz77rPr06WOrrV69uj7++GMlJSVp+fLleuutt2S1WhUWFqbx48erb9++tjeWknTkyBHl5ORIkl588cVijz18+PBSBa6NGzeWuAJfdHS0ywJXdHS0du/erZSUFJ04cUJ+fn5q0aKFpk6dqpCQEEkX33gvXLhQSUlJys7OVlBQkLp166YRI0ZccSTvoYceUrVq1TRnzhxNnTpVPj4+6tq1q55++mmZzeZr7tXRPoo88MADMplM+uSTT3Ty5Em1aNFCEydOLPFm2Pfff7/ta9CiRYtr7vVy+vTpoyNHjmjx4sVav369WrdurY8++qhYAL3hhhs0f/58ffDBB1q5cqW++uor+fr6qn79+hoxYoRtQRRnK83z9vf31+uvv66XX35ZCxcuVGBgoCZNmmT3PWQymfTuu+/q448/1rJly/Ttt9/qhhtuUJ06dTRgwIASF1MBAGfysF7pCmYAAGCoU6dOqXPnzho2bJjt3mCVwdWe94ABA/THH38oOTnZgO4AoPTcY2I/AACV1NKlS3XhwgX17NnT6FbKVGV93gAqHqYUAgBQDm3atEkHDx7U+++/r65du6pOnTpGt1QmKuvzBlBxEbgAACiHEhISbLcPmDhxotHtlJnK+rwBVFxcwwUAAAAALsI1XAAAAADgIgQuAAAAAHARruG6Bjt27JDVarW75w0AAACAyqegoEAeHh6KjIy8Yh2B6xpYrVZxyRsAAACA0uYCAtc1KBrZat68ucGdAAAAADDS7t27S1XHNVwAAAAA4CIELgAAAABwEQIXAAAAALgIgQsAAAAAXITABQAAAAAuQuACAAAAABchcAEAAACAixC4AAAAAMBFCFwAAAAA4CIELgAAAABwEQIXAAAAALgIgQsAAAAAXITABQAAAAAuQuACAAAAABfxNLoBALhe+fn5+uyzz5SRkaHg4GD1799f3t7eRrcFAABA4ALg3qZNm6Zt27bZtnfv3q3vvvtOrVu31tixYw3sDAAAgCmFANxYUdjy9PRUjx49FB8frx49esjT01Pbtm3TtGnTjG4RAABUcoxwAXBL+fn5trA1d+5c2xTCRx99VA899JAGDRqkbdu2KT8/n+mFAADAMIxwAXBLn332mSQpLi6uWKDy9vbWvffea1cHAABgBAIXALeUkZEhSbrjjjtKPF60v6gOAADACOUycC1dulQPPPCAmjdvrrZt22rQoEE6d+6c7fiaNWvUo0cPNW/eXPfcc4++/PLLYufIz8/XG2+8oY4dO6pVq1b629/+pkOHDpXl0wDgQsHBwZKkH374ocTjRfuL6gAAAIxQ7gLXe++9p5deeklxcXGaN2+eXnzxRdWpU0cXLlyQJG3dulXDhw9Xq1atNGfOHHXr1k3PP/+8Vq5caXeel19+WYsWLdLo0aM1c+ZM5efn6/HHH1dOTo4RTwuAk/Xv31+SlJKSovz8fLtj+fn5tp8JRXUAAABGKFeLZhw6dEizZs1SQkKCbr/9dtv+e+65x/bxe++9pxYtWujFF1+UJLVr107p6el65513bNdsHDt2TIsXL9bkyZPVq1cvSVLz5s1155136osvvtDgwYPL8FkBcAVvb2+1bt1a27Zt06BBg3Tvvffqjjvu0A8//KCVK1eqsLBQrVu3ZsEMAABgqHI1wrVkyRLVqVPHLmxdKj8/X5s3b7YFqyJxcXE6ePCgjhw5IknasGGDLBaLXV1AQIA6duyodevWue4JAChTY8eOVevWrVVYWKjk5GSNGzdOycnJtrDFfbgAAIDRytUI186dO9W4cWMlJCRo/vz5ysnJ0a233qrnnntOLVu21G+//aaCggKFhYXZfV6DBg0kXRwhq1Onjg4dOqSaNWvK39+/WN3ixYvL7PkAcL2xY8cqPz9fn332mTIyMhQcHKz+/fszsgUAAMqFchW4jh8/rj179igtLU2TJ0/WDTfcoPfff19///vftWrVKmVlZUmSzGaz3ecVbRcdz87Olp+fX7Hzm81mW42jrFarcnNzr+scAJzv0UcftX1cWFiowsJCA7sBAAAVndVqlYeHx1XrylXgKgozM2bMUEREhCSpZcuWiomJ0WeffaZOnToZ3KFUUFCgffv2Gd0GAAAAAIOVZkZNuQpcZrNZAQEBtrAlXbz2qmnTpjpw4IDuu+8+SSq20mB2drYk2aYQms1mnTlzptj5s7Ozi00zvFZeXl5q2LDhdZ0DAAAAgHs7cOBAqerKVeBq2LChfvvttxKPnT9/XnXr1pWXl5cOHTqkzp07244V3V+r6NqusLAwnThxQllZWXYB69ChQ8Wu/7pWHh4e8vHxua5zAAAAAHBvpZlOKJWzVQrvvPNOnT592m7K3h9//KGffvpJzZo1k7e3t9q2bat//etfdp+XkpKiBg0aqE6dOpKkTp06yWQyadWqVbaarKwsbdiwQV26dCmbJwMAAACg0itXI1xdu3ZV8+bN9dRTT2n06NGqWrWqZs+eLW9vb/Xt21eS9OSTT+ovf/mLpkyZom7dumnz5s1KTk7W22+/bTvPTTfdpF69eunNN9+UyWRScHCwPvjgA/n5+dldWA8AAAAAruRhtVqtRjdxqVOnTum1117T999/r4KCArVp00bPPfec3XVTq1ev1vTp03X48GHdcsstGjJkiO0Gx0Xy8/P19ttva9myZTp79qyioqI0YcIE2xLyjti9e7ekizdRBgAAAFB5lTYblLvAVZ4RuAAAAABIpc8G5eoaLgAAAACoSAhcAAAAAOAiBC4AAAAAcBECFwAAAAC4CIELAAAAAFyEwAUAAAAALkLgAgAAAAAXIXABAAAAgIsQuAAAAADARQhcAAAAAOAiBC4AAAAAcBECFwAAAAC4iKfRDQDA9bJYLEpNTdXp06cVEBCgiIgImUz8PgkAABiPwAXArW3ZskWJiYk6fvy4bV9QUJD69eun6OhoAzsDAAAgcAFwY1u2bNGMGTMUGRmp4cOHKyQkROnp6Vq2bJlmzJihkSNHEroAAIChmHMDwC1ZLBYlJiYqMjJSY8aMUaNGjVStWjU1atRIY8aMUWRkpBITE2WxWIxuFQAAVGIELgBuKTU1VcePH1fPnj2LXa9lMpnUo0cPHT9+XKmpqQZ1CAAAQOAC4KZOnz4tSQoJCSnxeNH+ojoAAAAjELgAuKWAgABJUnp6eonHi/YX1QEAABiBwAXALUVERCgoKEjLli0rdp2WxWLR8uXLFRQUpIiICIM6BAAAIHABcFMmk0n9+vXTjh07FB8fr7S0NOXl5SktLU3x8fHasWOH+vXrx/24AACAoTysVqvV6Cbcxe7duyVJzZs3N7gTAEW4DxcAADBCabMB9+EC4Naio6PVpk0bpaam6vTp0woICFBERAQjWwAAoFwgcAFweyaTSU2bNjW6DQAAgGL4FTAAAAAAuAiBCwAAAABchMAFAAAAAC5C4AIAAAAAFyFwAQAAAICLELgAAAAAwEUIXAAAAADgIgQuAAAAAHARAhcAAAAAuAiBCwAAAABchMAFAAAAAC5C4AIAAAAAF/E0ugEAuF6FhYVatWqVMjMzVatWLcXGxsrTkx9vAADAeLwjAeDWkpKSlJKSIovFYrcvLi5Offv2NbAzAAAAAhcAN5aUlKTk5GSZzWZ16tRJwcHBysjI0IYNG5ScnCxJhC4AAGAoAhcAt1RYWKiUlBT5+PjIy8tLKSkptmM1a9aUj4+PUlJS1KdPH6YXAgAAw/AuBIBbWrVqlSwWi3Jzc9W4cWO1adNGBQUF8vLyUkZGhv773//a6uLi4oxtFgAAVFoELgBuKSMjQ9LF0axdu3bZXcNlMplUo0YNnTp1ylYHAABgBAIXALdktVolSSdPnpS/v7969+6tqKgobd++XYsWLdKpU6fs6gAAAIxA4ALglurXry9J8vDw0Ntvv61q1apJkmJiYtShQwcNHDhQVqvVVgcAAGAEbnwMwC398ssvki6OYI0ePVqrV6/WqVOntHr1ao0ePdo2slVUBwAAYARGuAC4JQ8PD0kXr+H6448/NG/ePNsxk8mkmjVr6uTJk7Y6AAAAIxC4ALil4OBgSRev4WrVqpWCg4NLXKWwqA4AAMAIBC4Abik2NlZJSUmqVq2a0tPTbQFL+r/7cJ07d06xsbHGNQkAACo9AhcAt+Tp6am4uDglJyfbPq5Vq5YyMzO1YcMG5ebmqnv37tz0GAAAGIp3IgDcVt++fSVJKSkpSklJse03mUzq3r277TgAAIBRWKUQgFvr27evZs2aJbPZLE9PT5nNZs2aNYuwBQAAygVGuAC4tSeffFJZWVm27ezsbA0bNkz+/v567733DOwMAACAES4AbuzSsFWzZk21bt1aNWvWlCRlZWXpySefNLI9AAAARrgAuKczZ87YwpaHh4dOnjypkydP2ratVquysrJ05swZ+fr6GtkqAACoxBjhAuCWXnjhBdvHZrNZgwYNUkJCggYNGiSz2VxiHQAAQFljhAuAW/rjjz8kST4+Ppo5c6Zt+feYmBh16dJFQ4cOVW5urq0OAADACAQuAG6pKGBVr15d0sWl4TMzM1WrVi3FxsbKx8dHubm53IcLAAAYinciANxSVFSUfvjhBx0/flx//etfZbVabccSExNt21FRUUa1CAAAwDVcANxTnTp1bB9fGrb+vH1pHQAAQFkjcAFwSzExMU6tAwAAcAUCFwC39N1339k+9vX1lb+/v3x8fOTv72+3DPyldQAAAGWNwAXALW3dulWSFBERodzcXGVlZdn9HR4eblcHAABgBAIXALcWGBioG2+80W7fjTfeqMDAQIM6AgAA+D+sUgjALUVFRSktLU0bNmxQq1at9NRTTykkJETp6elaunSpNm7caKsDAAAwCiNcANzSvffea/v40KFD+u2335Sbm6vffvtNhw4dKrEOAACgrDHCBcAtHThwwPZxdna25s2bd9m6pk2bllVbAAAAdhjhAuCWTp8+LenyI1hF+4vqAAAAjFCuAteSJUsUHh5e7M/UqVPt6hYtWqR77rlHzZs3V48ePfT9998XO1dOTo7Gjx+v6OhoRUZG6qmnnlJmZmZZPRUALhYQECBJat++vT799FP1799fsbGx6t+/vz799FO1a9fOrg4AAMAI5XJK4dy5c+Xn52fbDg4Otn38zTffaOLEiRo6dKjatWunlJQUDR8+XImJiWrVqpWtbtSoUTpw4ICmTJmiqlWravr06Ro8eLC+/PJLeXqWy6cN4BpEREQoKChIy5Yt05gxYxQXF2c7ZrFYtHz5cgUFBSkiIsLALgEAQGVXLpNHs2bNVKNGjRKPvfPOO7rvvvs0atQoSVK7du2Ulpamd999V3PmzJEk7dixQxs2bNC8efPUqVMnSVJoaKji4uK0atUquzdmANyTyWRSv379NGPGDE2dOlXBwcEqKCiQl5eXMjIytHPnTo0cOVImU7kayAcAAJVMuQxcl5Oenq5ffvlFTz/9tN3+uLg4vfnmm8rPz5e3t7fWrVsns9msjh072mrCwsLUpEkTrVu3jsAFVBDR0dGKiorStm3bih1r3bq1oqOjDegKAADg/5TLX/12795dTZo00V133aUPPvhAFy5ckCTbUs+hoaF29Q0aNFBBQYHS09NtdaGhofLw8LCrCwsLs1suGoB7S0pK0rZt22Q2mxUXF6e//e1viouLk9ls1rZt25SUlGR0iwAAoJIrVyNcQUFBGjFihFq2bCkPDw+tWbNG06dPV0ZGhiZNmqSsrCxJktlstvu8ou2i49nZ2XbXgBXx9/fXnj17rqtHq9Wq3Nzc6zoHgOtXWFiolJQUmc1mvfnmm3bXZvbo0UP//Oc/lZKSou7du3PdJgAAcDqr1VpsgKck5epdSOfOndW5c2fbdqdOnVS1alV98sknGjp0qIGd/Z+CggLt27fP6DaASm/btm2yWCxq27at9u3bp507d+r06dMKCAhQy5Yt1bZtW3377bf64osv1Lp1a6PbBQAAFZC3t/dVa8pV4CpJt27d9OGHH2rfvn3y9/eXdHHJ96CgIFtNdna2JNmOm81mHTt2rNi5srKybDWO8vLyUsOGDa/rHACu3/bt2yVJ+fn5mjlzpiwWi+3YunXrbL+88fDwUJMmTQzpEQAAVFwHDhwoVV25D1yXCgsLk3TxGq2ij4u2vby8FBISYqvbtGlTsWG+w4cPq3HjxtfVg4eHh3x8fK7rHACuX+3atSVJa9eulb+/v3r37q2oqCht375dixYt0tq1a211fM8CAABnK810QqmcLppxqZSUFFWpUkVNmzZVSEiI6tevr5UrVxarad++vW1Ir0uXLsrKytKmTZtsNYcPH9bevXvVpUuXMu0fgGvExMRIuvjD7vnnn9f8+fP1j3/8Q/Pnz9fzzz9v+yFYVAcAAGCEcjXCNXDgQLVt21bh4eGSpNWrV2vhwoX6y1/+YptCOGLECI0bN05169ZV27ZtlZKSol27dumzzz6znScyMlKdOnXS+PHj9cwzz6hq1ap6++23FR4ertjYWEOeGwDnWrNmjaSLF6z+85//tO0/f/683faaNWu4FQQAADBMuQpcoaGh+vLLL3Xs2DFZLBbVr19f48eP14ABA2w13bt3V15enubMmaPZs2crNDRUs2bNUmRkpN25pk+frtdee02TJk1SYWGhOnXqpAkTJrBaGVBBZGZmOrUOAADAFTysVqvV6Cbcxe7duyVJzZs3N7gTAIsWLdLSpUslSQEBATp9+rTt2KXbDz74oHr37m1AhwAAoCIrbTZguAeAW0pOTrZ9XK9ePT3wwAPy9vZWfn6+duzYYQtcycnJBC4AAGAYAhcAt1RQUGD7eNeuXdq5c6dt+9JVgy6tAwAAKGvlfpVCACiJl5eX7eM/z4y+dPvSOgAAgLLGCBcAt/TII4/YViedOnWq/vvf/yozM1O1atVSq1atNG7cOFsdAACAUQhcANzeuHHjVL16dT300ENasmSJ3W0iAAAAjETgAuCWzGaz3fbZs2c1f/78q9YBAACUJa7hAuCWatSoYfu4WbNmtmu1vLy81KxZsxLrAAAAyhojXADcUkREhIKCguTn56eMjAzbaoQFBQXKyMhQWFiYcnJyFBERYXCnAACgMmOEC4BbMplM6tevnw4dOqTs7Gy7Y9nZ2Tp06JD69esnk4kfcwAAwDi8EwEAAAAAFyFwAXBLFotFiYmJCg0NLbYwhtlsVmhoqBITE2WxWAzqEAAAgGu4ALip1NRUHT9+XCdOnFBkZKRGjBihkJAQpaena9myZdq+fbutrmnTpgZ3CwAAKitGuAC4pVOnTkmSWrZsqaeeeko///yzvvjiC/3888966qmn1LJlS7s6AAAAIzDCBcAtFS2UYbFY9Pe//91u6mBSUpJtafg/L6gBAABQlghccJnCwkKtWrVKmZmZqlWrlmJjY+XpyUsOzlF03dauXbvk5+enzp07Kzg4WBkZGVq/fr12795tVwcAAGAE3v3CJZKSkpSSklJs1CEuLk59+/Y1sDNUFP7+/raPz58/r5SUFNu2t7d3iXUAAABljcAFp0tKSlJycrL8/PzUtGlTVatWTefOndPevXuVnJwsSYQuXLdff/3V9nF+fr7dsUu3f/31VzVv3rzM+gIAALgUgQtOVVhYqJSUFHl7e+vs2bPavHmz7ZjJZJK3t7dSUlLUp08fphfiuhw/ftypdQAAAK7AKoVwqlWrVslisSg/P19+fn4aNGiQEhISNGjQIPn5+Sk/P18Wi0WrVq0yulW4OavV6tQ6AAAAV2CIAU517NgxSZKfn59mzpxpG8WKiYlRly5d9I9//EM5OTm2OsBRN998s+3j6dOnKzk5WRkZGQoODlb37t01atSoYnUAAABljcAFp7r03kh/njLo6empFi1aaOPGjdwbCddtxYoVto+LwpUk7d69W999951dXbdu3cqyNQAAABumFMKpatSoIUnauXOnCgsL7Y4VFhZq165ddnWAo/Ly8pxaBwAA4AoELjjVTTfdJEnKycnRiBEjtHr1ap06dUqrV6/WiBEjlJOTY1cHOCogIMCpdQAAAK7AlEI4VWxsrJKSkuTp6amsrCzNmzfP7ri3t7cKCwsVGxtrUIeoKNq2baslS5aUqg4AAMAoBC44laenp+Li4pScnCyz2awmTZqoatWqOn/+vPbt26fs7Gx1796dJeFx3bKysuy2PT09ZTKZZLFY7Kaz/rkOAACgLPGuF05XdFPjlJSUYvfh6t69Ozc9hlP89ttvdtt/vmbwcnUAAABlicAFl+jbt6/69OmjVatWKTMzU7Vq1VJsbCwjW3Aab29vp9YBAAC4Au9+4TJF0wsBVwgMDHRqHQAAgCuwSiEAt3TkyBGn1gEAALiCQyNcqamp2rZtmw4ePKg//vhDHh4euvHGGxUWFqaoqCg1adLE2X0CgJ3ff//dqXUAAACuUOrAdfLkSSUlJemrr77S77//LqvVKi8vL/n7+8tqtSo7O1sFBQXy8PDQzTffrAcffFCPPfYY03kAuISHh4dT6wAAAFyhVFMK33rrLXXt2lULFizQnXfeqXfffVdr167V7t27tWHDBm3cuFG7d+/W2rVr9e677+rOO+/UwoULdffdd2vatGmufg4AKqFbb73V9vGrr76qqlWrysPDQ1WrVtWrr75aYh0AAEBZK9UI19atW/XWW2/prrvuuuJvi4ODgxUcHKyYmBhNmDBBq1ev1ty5c53WLNxLYWEhqxTCZRo2bKgtW7ZIksaPH2/bf/78ebvthg0blnlvAAAARUr17nfBggXXfGIPDw917dpVXbt2vebPhftLSkpSSkqKLBaL3b64uDjuwwWnCAgIcGodAACAKzDcAKdLSkpScnKyzGazOnXqpODgYGVkZGjDhg1KTk6WJEIXrlvVqlWdWgcAAOAK1xW4CgoKlJGRoezsbFmt1mLHmzVrdj2nhxsqLCxUSkqKfHx8VKVKFaWkpNiO3XjjjfLx8VFKSor69OnD9EJcl48//rjUdbfddptrmwEAALgMh97xZmdn64033tDXX3+tgoKCYsetVqs8PDy0b9++624Q7mXVqlWyWCzKzc1Vbm6u3bE//vjDro6bIuN6XPp6kqTmzZuradOm2rt3r3bv3n3ZOgAAgLLkUOB69tln9f333ysuLk4tW7aUn5+fs/uCm8rIyHBqHVAaNWvW1O7du21BKzAwUCdOnDC4KwAAAAcD18aNGzVgwAC7lcAASbpw4YJT6wBHlDTFGQAAwAilug/XnwUEBKhevXrO7gUVQF5enlPrgMtp3Lix7eOTJ08qMDBQTz75pAIDA3Xy5MkS6wAAAMqaQ4GrT58++uabb+yW/AYk6fjx43bbt9xyi+6//37dcsstV6wDrlVISIjd9okTJ/Tee+8Vm0r45zoAAICy5NCUwn/84x/Kz8/Xww8/rJ49eyo4OFhVqlQpVhcbG3vdDcK9nD9/3m77999/1++//37VOuBatWnTRqtXry5VHQAAgFEcClwZGRnavHmz9u3bd9mVCFmlsHLKysqyfVy1alXdcMMNys/Pl7e3t/Ly8mxB69I6wBFnz5612/by8pLFYpHJZLJbPfXPdQAAAGXJocA1fvx4/fTTT3riiSfUokULVilEic6fP28LWH9eIh64XgEBAZKk8PBw7d+/3xayihZkKdpfVAcAAGAEhwLXtm3bNHjwYD311FPO7gduLigoSNnZ2aWqA65HRESEgoKCVL16dc2ePVtvvfWWTp48qZo1a+rpp5/W+++/r6CgIEVERBjdKgAAqMQcClyBgYHy9/d3di+oANq3b6+DBw+Wqg64HiaTSf369dP06dM1ZMgQ2/5Tp07ZtkeNGiWTyaG1gQAAAJzCoXcif/vb37R48WKujUAxmzdvdmodcCUHDhy4ruMAAACu5tAIV35+vjw9PRUbG6tu3brppptuKrZKoYeHhx5//HFn9Ag3wn24UFYKCwuVnJxs2zaZTKpSpYouXLhgu2VFcnKy+vTpI09Ph37UAQAAXDeH3oW88cYbto8/++yzEmsIXJVTrVq1dOTIEUkXXwNWq9V27NLtWrVqGdIfKo7ly5fbbVsslhLvDbh8+XI99NBDZdUWAACAHYcCV2nufYPKKSwsTNu3b5d05cAVFhZmSH+oOFasWFHqOgIXAAAwikOBq3bt2letyc/Pd+TUcHOX3l/LarXq1ltvVdOmTbV371799NNPJdYBjjh37pxT6wAAAFzBoUUz3nrrrSseP3PmjAYOHOhQQ3BvRSNY/v7+slqt2rNnjxYuXKg9e/bIarXaVre8dOQLcERpX0O81gAAgJEcClwff/yx3nnnnRKPZWVl6a9//av27dt3XY3BPTVs2FDSxTe5s2fPVlRUlEJCQhQVFaXZs2fb3vwW1QGOKu1CGCyYAQAAjOTQO5GXX35Z48ePV9WqVfXEE0/Y9h8/flx///vflZmZqQ8//NBpTcJ9BAYGSpKys7P19NNPq1evXoqMjNSOHTv09NNP226KXFQHOKq005aZ3gxnKiws1KpVq5SZmalatWopNjaWUA8AuCKH/pd48MEHlZ+frylTpsjb21t/+9vfdOTIET3++OM6d+6c5s+fr8aNGzu7V7iBiIgIBQUFycPDQydOnNC8efNsx0wmk2rVqiWr1aqIiAgDuwSAa5eUlKSUlBS71TCTkpIUFxenvn37GtgZAKA8c/jXco888ojOnz+vV199VX/88YeWLVumKlWqKCkpSXXr1nVmj3AjJpNJ/fr104wZM9S8eXOdP39eZ86cka+vr6pWrardu3dr5MiRMpkcms0KAIZISkpScnKy/P391bt3b0VFRWn79u1atGiR7X5whC4AQEmu613vX/7yF40bN06zZ89W9erV9fnnnxO2oOjoaEVFRWnXrl3av3+/jh49qv3792vXrl2KiopSdHS00S0CQKkVFhYqJSVF/v7+evvtt3Xu3Dl99dVXOnfunN5++235+/srJSVFhYWFRrcKACiHSjXCNXTo0Cse9/Hxkdls1uTJk237PDw89N57711fd3BLSUlJ2rZtW4nHtm3bpqSkJH4TDMBtrFq1ShaLRfXq1dOgQYOKTSls1qyZdu/erVWrVikuLs7ATgEA5VGpAldaWtoVjwcEBCgzM1OZmZm2fR4eHtfXGdxSYWGhvvnmG0mSn5+fmjZtqqpVq+r8+fPau3evcnJy9M0336hPnz5caI7r4u/vX6r7uRXdigBwVNH/bbt27SpxSuHu3bvt6gAAuFSp3vGuWbPG1X2gglixYoWsVquqVKminJwcbd682e54lSpVdOHCBa1YsUL333+/QV2iImBZeJSVmjVrSpKqVaummTNn2l5TMTEx6tKli4YMGaJz587Z6gAAuFSpr+GaN2+eDh486MpeUAEUTSW8cOGC/P39NWjQICUkJGjQoEHy9/fXhQsX7OoAR506dcqpdcDVMHMDAOCIUv/qd+7cuZo6dapuueUW3XHHHerSpYvat28vb29vV/YHN1N0Y+OqVauW+JvgQYMGKT8/31YHOKq0ryFea7heJ0+elCTl5eVpxIgRdvcXXLx4sc6dO2dXBwDApUoduH788Uft3LlT69at0w8//KCkpCRVq1ZNbdu2tQWwW265xZW9wg34+vpKkt1F5ZcqevNbVAc4ymQyXfZ19uc64HrUqlVLktS8eXP99NNPxe4veOutt2rPnj22OgAALlXqwOXh4aFWrVqpVatWeuqpp3TixAn98MMPWrdunaZOnaoXXnhBDRs21O2336477rhDUVFRvNGphIquYSgoKNDw4cPVu3dv22+CFy1apIKCArs6wFGlnd7FNDBcr9jYWCUlJem3337T3LlztWbNGmVmZqpWrVqKiYnR6NGjZTKZFBsba3SrAIByyOGryQMDA9WrVy/16tVLhYWF2rp1q9auXavvv/9ec+fOldlsVseOHfX444+rZcuWzuwZDsjIyFBubq7LH+fSKabZ2dl2vwn+c93hw4dd3o+Pj4+Cg4Nd/jgoe0XXAzqrDrgcT09PxcXFKTk5WaNHj1avXr3Uo0cP7dixQ6NHj1ZWVpa6d+/OAi0AgBJ5WF1wgUN6errWrVuntWvXqm3btho4cKCzH8IQRUv/Nm/e3OBOrk12draefPLJSnkti8lkUkJCgsxms9GtwMmu5V5uSUlJLuwElUVSUpJSUlLsprKaTCbFxcVxb0EAqIRKmw1cErgqKncNXFLZjXBJ0sqVK7V+/Xr5+Pjo5ptv1sGDB9WgQQP973//U25urjp37qx77723THphhKviInDBCIWFhVq1apVtSmFsbCwjWwBQSZU2Gzj0v8SsWbOueNzDw0NVq1bVzTffrDZt2jj0hvfs2bPq1q2bMjIytHjxYrsnsmjRIs2dO1e///67QkNDNXr0aN155512n5+Tk6PXXntN3333nQoKCtS5c2dNmDCh0l7UXJah48knn5S/v79SUlJstxI4ePCgTCaTunfvzm+C4RQsmgEjFE0vBACgtBwOXEUXov95gOzP+6tUqaLevXtr0qRJ1/TGJyEhocRrL7755htNnDhRQ4cOVbt27ZSSkqLhw4crMTFRrVq1stWNGjVKBw4c0JQpU1S1alVNnz5dgwcP1pdffslvI8tA37591adPH33xxRdKSUlRXFycHn30Ub72cJrShK1rqQMAAHAFh371u3btWoWHh+uBBx7QkiVLtHXrVm3dulVffvmlHnjgATVp0kT/+te/tHTpUt1///1asGCB3n///VKf/+DBg0pKStKIESOKHXvnnXd03333adSoUWrXrp1efPFFNW/eXO+++66tZseOHdqwYYNeeeUVxcXF6a677tKMGTO0f/9+rVq1ypGnDAd4enqqY8eOkqSOHTsStgAAAFDpOBS4XnjhBYWFhem1115T06ZN5evrK19fXzVr1kyvvfaa6tWrp2nTpqlJkyZ6/fXX1alTJy1btqzU53/55Zf16KOPKjQ01G5/enq6fvnlF3Xr1s1uf1xcnDZt2qT8/HxJ0rp162yrJBYJCwtTkyZNtG7dOkeeMgAAAABcM4cC17///W/ddtttlz1+2223aePGjbbt22+/Xb///nupzr1y5UqlpaXpH//4R7Fjhw4dkqRiQaxBgwYqKChQenq6rS40NLTY/XfCwsJs5wAAAAAAV3Nojpe3t7d27dqlxx57rMTjO3fulJeXl227sLBQPj4+Vz1vXl6eXn/9dY0ePVq+vr7FjmdlZUlSsSW+i7aLjmdnZ8vPz6/Y5/v7+2vPnj1X7eNKrFZrma32VxGcO3fO9jdfNxiF1x4AAHA2q9VabICnJA4Fru7duysxMVEBAQF67LHHVKdOHUnSkSNHlJSUpOXLl6tfv362+s2bN6thw4ZXPe97772nmjVr6uGHH3akrTJRUFCgffv2Gd2G28jIyJAkHT58mDe9lcTp06d1/vx5o9uw88MPP7j8MapWraqAgACXPw4AACg/vL29r1rjUOB6+umndeLECX300Uf6+OOPbasPWiwWWa1WxcbG6umnn5YknT9/Xs2aNVNUVNQVz3n06FF9+OGHevfdd5WTkyPp/34rnZubq7Nnz8rf31/SxSXfg4KCbJ+bnZ0tSbbjZrNZx44dK/YYWVlZthpHeXl5lSo84qKikc3Q0FDVq1fP4G7gajk5OYqPjy93N9n+7LPPXP4YJpNJ06ZNK3F0HQAAVDwHDhwoVZ1DgatomfW9e/dq/fr1Onr0qCSpdu3a6tSpk5o1a2ZXO3z48Kue88iRIyooKNCQIUOKHfvLX/6ili1batq0aZIuXqMVFhZmO37o0CF5eXkpJCRE0sVrtTZt2lRsmO/w4cNq3LixI0/ZxsPDo1TTI3FRtWrVbH/zdav4fHx8FB8fXyajmXv37lViYuJV6/r166emTZu6vB9usg0AQOVSmumEkoOBq0jTpk2d9kamSZMm+vTTT+327du3T6+99ppeeOEFNW/eXCEhIapfv75Wrlyprl272upSUlLUvn1725Bely5dlJCQoE2bNqlDhw6SLoatvXv3atCgQU7pF0DJyip0hIaGlipw3XfffWXQDQAAQMlKFbjy8vJ0ww03OPQApf1cs9mstm3blnisWbNmtlGzESNGaNy4capbt67atm2rlJQU7dq1y27KUGRkpDp16qTx48frmWeeUdWqVfX2228rPDxcsbGxDj0PAOVPUlKS+vbte8XjAAAARirVsvB33HGHZs2apczMzFKfOCMjQzNmzNAdd9zhaG8l6t69u1566SUlJydr4MCB2r59u2bNmqXIyEi7uunTp6tDhw6aNGmSxo4dq/r162v27NncfBeoYJKSkjRhwgS7fRMmTCBsAQCAcsHDWoqr21NSUjRr1iz98ssvioqKUvv27dWsWTPVqVNHZrNZVqtV2dnZOnLkiPbs2aMff/xRO3fuVL169TRixAjFxcWVxXNxud27d0uSmjdvbnAn7uPw4cN6/vnn9corrxS7fxrgTLzWAABAWSptNijVcE9cXJzuvfderVmzRkuWLNH777+vgoKCYheKWa1WeXl5qWPHjnrnnXcUExNjW8EQAAAAACqbUs+vM5lM6tq1q7p27ar8/Hzt2bNHhw4d0unTpyVJAQEBCgsL06233lqq9egBAAAAoKJz6IImb29vRUVFXfXeWgAAAABQmTl1vl96eroOHjzozFMCAAAAgNtyKHB9+umnGj16tN2+5557TrGxserevbseeughnTx50ikNAgAAAIC7cihwLVq0SDVr1rRtr1+/XkuXLlWfPn00YcIEHTlyRLNmzXJakwAAAADgjhy6huv3339XgwYNbNsrVqxQnTp19MILL0iSTpw4oWXLljmnQwAAAABwUw6NcP351l0bN25Uly5dbNu1a9fWiRMnrq8zAAAAAHBzDgWu+vXr67vvvpN0cTphZmamXeA6duyYzGazczoEAAAAADfl0JTCgQMHauzYsbrtttuUl5enBg0aqFOnTrbjmzdvVkREhNOaBAAAAAB35FDguu+++xQQEKC1a9fKbDarb9++8vS8eKrTp0/L399fPXv2dGqjAAAAAOBuHApcktSxY0d17Nix2P6AgABWKAQAAAAAOfnGxwAAAACA/+PQCJfVatWCBQu0ePFipaenKzs7u1iNh4eH9u7de90NAgBQkoyMDOXm5hrdRpnz8fFRcHCw0W0AAErJocD15ptv6uOPP1aTJk3Uo0cP+fv7O7svAAAuKzs7W2PGjCl2m5LKwGQyKSEhgdWAAcBNOBS4vvrqK8XGxmrGjBnO7gcAgKsym82Kj483ZITr6NGjSkhI0LBhw1S7du0yf3wfHx/CFgC4EYcC17lz59ShQwdn9wIAQKkZPa2udu3aCg0NNbQHAED559CiGe3bt9fu3bud3QsAAAAAVCgOBa7Jkydr586dev/99/XHH384uycAAAAAqBAcmlJ47733ymq1asaMGZoxY4aqVq0qk8k+u3l4eGjbtm1OaRIAAAAA3JFDgeuee+6Rh4eHs3sBAAAAgArFocD1+uuvO7sPAAAAAKhwHLqGCwAAAABwdQ6NcEnSmTNn9PHHH+uHH37Q77//Lkm65ZZbdMcdd+jxxx+Xr6+v05oEAAAwSkZGhiH3fDOaj4+P4bdfACoChwJXRkaG+vXrpyNHjigsLExRUVGSpMOHD2vWrFlatmyZEhMTVatWLac2CwAAUJays7M1ZswYWa1Wo1spcyaTSQkJCdxoG7hODgWuqVOn6sSJE/rggw90++232x1bu3atRo0apWnTpumNN95wSpMAAABGMJvNio+PN2SE6+jRo0pISNCwYcNUu3btMn98Hx8fwhbgBA4FrvXr1+uvf/1rsbAlSbfffrsGDBighQsXXndzAAAARjN6Wl3t2rUVGhpqaA8AHOfQohl5eXmqWbPmZY8HBgYqLy/P4aYAAAAAoCJwKHA1aNBA33zzjfLz84sdKygo0DfffKMGDRpcd3MAAAAA4M4cmlI4ePBgjR49Wr1791bfvn1Vv359SRcXzfjiiy+0f/9+vf32287sEwAAAADcjkOBq1u3bsrLy9O0adM0efJkeXh4SJKsVqtq1qypV199Vffee69TGwUAAAAAd+Pwfbgeeugh9ejRQ3v27LG7D9ett94qT0+HTwsAAAAAFcZ1JSNPT0+1atVKrVq1clI7AAAAAFBxlCpw/ec//5Ek3XbbbXbbV1NUDwAAAACVUakC14ABA+Th4aGdO3fK29vbtn05VqtVHh4e2rdvn9MaBQAAAAB3U6rA9emnn0qSvL297bYBAAAAAJdXqsAVHR19xW0AAABXOnHihHJycoxuo0wdPXrU7u/KxM/PT4GBgUa3ATiFU5cTTE9PV35+Pjc9BgAATnPixAmNGztO+QX5RrdiiISEBKNbKHPeXt6aOm0qoQsVgkOB69NPP9WOHTvsbm783HPP6auvvpIkNWnSRHPmzFHNmjWd0iQAAKi8cnJylF+Qr4fDYxTkE2B0O3Cx47mn9eX+NcrJySFwoUJwKHAtWrRIbdu2tW2vX79eS5cu1SOPPKLGjRtrxowZmjVrliZPnuy0RgEAQOUW5BOgW3yDjG4DAK6JQ4Hr999/t5s2uGLFCtWpU0cvvPCCpItD/8uWLXNOhwAAAADgpkyOfJLVarXb3rhxo7p06WLbrl27tk6cOHF9nQEAAACAm3MocNWvX1/fffedpIvTCTMzM+0C17Fjx2Q2m53TIQAAAAC4KYemFA4cOFBjx47Vbbfdpry8PDVo0ECdOnWyHd+8ebMiIiKc1iQAAAAAuCOHAtd9992ngIAArV27VmazWX379pWn58VTnT59Wv7+/urZs6dTGwUAAAAAd+Pwfbg6duyojh07FtsfEBCgWbNmXVdTAAAAAFAROO3Gx3l5efrmm2+Un5+v22+/XbVr13bWqQEAAADALTkUuMaPH69du3YpOTlZkpSfn68+ffro559/liT5+fnpk08+UdOmTZ3XKQAAAAC4GYdWKdy8ebPuvvtu23ZycrJ+/vlnTZ06VcnJyQoMDGRaIQAAAIBKz6HAdeLECbspg999951uvfVWde/eXQ0bNlSfPn20a9cupzUJAAAAAO7IocB1ww03KCcnR5JUWFioLVu22C0LX716ddtxAAAAAKisHLqGq1mzZlq4cKHatm2rNWvW6OzZs4qJibEd/+2331SzZk2nNQkAAABUdBkZGcrNzTW6jTLn4+Oj4OBgo9twGYcC16hRozRo0CA9/PDDslqtuueee9SiRQvb8W+//VZRUVFOaxIAAACoyLKzszVmzBhZrVajWylzJpNJCQkJMpvNRrfiEg4FrubNm2vFihXavn27zGazoqOjbceys7PVt29fu30AAAAALs9sNis+Pt6QEa6jR48qISFBw4YNM+TWTj4+PhU2bEnXcR+uGjVqqGvXrsX2m81m/fWvf72upgAAAIDKxuhpdbVr11ZoaKihPVREpQpcv//+uyTplltusdu+mqJ6AAAAAKiMShW4YmJi5OHhoZ07d8rb29u2fTX79u277gYBAAAk6XjuH0a3gDLAvzMqmlIFrldffVUeHh7y8vKy2wYAACgrX+7/3ugWAOCalSpwPfTQQ1fcBgAAcLWHw+9UkM+NRrcBFzue+wfhGhWKw4tmAAAAlKUgnxt1i2+Q0W0AwDVxOHDl5uZq1apVSk9PV1ZWVok1EyZMcLgxAACASx3PPW10CygD/DujonEocG3atEkjR45Udnb2ZWs8PDwIXAAA4Lr5+fnJ28tbX+5fY3QrKCPeXt7y8/Mzug3AKRwKXC+88IJuuOEGvf3222rZsqV8fX2d3RcAAIAkKTAwUFOnTVVOTo4hj3/q1Cnl5eWV+eMeP35cixYtUu/evRUUVPZTKW+44QbVqFGjzB9XuhiyAwMDDXlswNkcClz/+9//NG7cOHXs2NHZ/QAAABQTGBhoyBvw7OxsTZgwQVartcwfu8iiRYsMeVyTyaSEhASZzWZDHh+oKBwKXOHh4Yb9lgkAAKCsmM1mxcfHKzc31+hWypyPjw9hC3AChwLXuHHjNGbMGHXu3FnNmzd3dk8AAADlRnBwsNEtAHBjDgWu6OhojR8/Xo8++qjCwsJ08803y2Qy2dV4eHjovffec0qTAAAAAOCOHApc//rXv/TPf/5TFy5cUEZGhs6ePVusxsPD45rPu3btWs2ZM0cHDhzQmTNnFBwcrK5du2r48OF2K9WsWbNG06dP1+HDh3XLLbdoyJAhevjhh+3OlZ+fr7ffflvLly/X2bNnFRkZqYkTJyosLOzanzAAoEQnTpyodFPMjx49avd3ZcJCBgBw7RwKXNOmTVNoaKjeeecdhYaGOq2Z06dPq0WLFhowYIACAgL0888/a+bMmfr555/14YcfSpK2bt2q4cOHq1evXho/frz+/e9/6/nnn1f16tV177332s718ssvKyUlRc8++6yCg4P1/vvv6/HHH9c333zDMqMA4AQnTpzQ2HHjVJCfb3QrhkhISDC6hTLn5e2taVOnEroA4Bo4FLgyMzP19NNPOzVsSVLPnj3tttu2bStvb29NnDhRGRkZCg4O1nvvvacWLVroxRdflCS1a9dO6enpeuedd2yB69ixY1q8eLEmT56sXr16SZKaN2+uO++8U1988YUGDx7s1L4BoDLKyclRQX6+GrfsKh/fG41uBy6We+YPpe38Tjk5OQQuALgGDgWu5s2b63//+5+zeylRQECAJKmgoED5+fnavHmzxo0bZ1cTFxen5ORkHTlyRHXq1NGGDRtksVjsRrwCAgLUsWNHrVu3jsAFAE7k43ujfP3L/h5BAAC4A9PVS4qbMGGCUlJSlJKS4ux+JEkXLlzQ+fPn9dNPP+ndd99VTEyM6tSpo99++00FBQXFrsNq0KCBJOnQoUO2v2vWrCl/f/9idUU1AAAAAOBqDi8LX1hYqLFjx2rixIm66aabSlylcPny5Q41deeddyojI0OS1LlzZ02bNk2SlJWVJUnF7glRtF10PDs7u8TrtMxms63GUVartVLei8NR586ds/3N1w2uxGut7BV9zVG58D0GVDz8H+oYq9VaqoUCHQpcAQEBCggIUL169Rz59KuaPXu28vLydODAAb333nsaOnSoPvroI5c81rUqKCjQvn37jG7DbRQF58OHD/MNDJfitVb2ir7mqFz4HgMqHv4PdZy3t/dVaxwKXPPnz3fk00otIiJCkhQZGanmzZurZ8+e+vbbb9WwYUNJKrYEcXZ2tiTZphCazWadOXOm2Hmzs7OLTTO8Vl5eXrY+cHU+Pj6SpNDQUJcFdEDitWaEoq85Khe+x4CKh/9DHXPgwIFS1TkUuMpSeHi4vLy89NtvvykmJkZeXl46dOiQOnfubKspui6r6NqusLAwnThxQllZWXYB69ChQ9d9Hy4PDw/eZFyDatWq2f7m6wZX4rVW9oq+5qhc+B4DKh7+D3VMae87XOpFM6ZMmaLdu3fbtgsKCpSSkqJTp04Vq/3xxx/1l7/8pbSnvqKdO3eqoKBAderUkbe3t9q2bat//etfdjUpKSlq0KCB6tSpI0nq1KmTTCaTVq1aZavJysrShg0b1KVLF6f0BQAAAABXU+oRri+++EKtW7dW8+bNJUlnzpzR2LFj9eGHH6p9+/Z2tSdOnNB//vOfa25m+PDhuvXWWxUeHq5q1aopNTVV8+bNU3h4uLp27SpJevLJJ/WXv/xFU6ZMUbdu3bR582YlJyfr7bfftp3npptuUq9evfTmm2/KZDIpODhYH3zwgfz8/PToo49ec18AAAAA4IjrmlJotVqd1YckqUWLFkpJSdHs2bNltVpVu3Zt9e7dWwMHDrRdkNamTRvNnDlT06dP1+LFi3XLLbfo5ZdfVrdu3ezONWHCBFWvXl3Tpk3T2bNnFRUVpY8++qjE1QuBiubEiRPFrnWs6I4ePWr3d2Xi5+fHjWgBACinytU1XEOGDNGQIUOuWnfXXXfprrvuumKNt7e3nnnmGT3zzDPOag9wCydOnNC4sWOVX1BgdCuGSEhIMLqFMuft5aWp06YRugAAKIfKVeACcP1ycnKUX1Cg/uE1FOzDt3hFl5FbqM/2n1JOTg6BCwCAcoh3Y0AFFezjqRDfq98bAgAAAK5zTYHrq6++0s6dOyVJ58+fl4eHhxITE7V69Wq7usOHDzuvQwAAAABwU9cUuDZu3KiNGzfa7fvuu+9KrC3tuvQAAAAAUFGVOnClpqa6sg8AAAAAqHBKfeNjAAAAAMC1YdGMMsS9kSoX7o0EAAAAAlcZOXHihMaOG6eC/HyjWzFEZbw3kpe3t6ZNnUroAgAAqMQIXGUkJydHBfn5CujYQp7+1Y1uBy5WmHVWpzfu4t5IAAAAlRyBq4x5+leXV01/o9sAAAAAUAZYNAMAAAAAXITABQAAAAAucs1TCtPT03Xw4EHdeOONat68uUym4plt//79+vbbbzV8+HCnNAkAKL9yz/xhdAsoA/w7A4BjSh24LBaLnn/+eX311Ve2fSEhIZo4caI6d+5sV7t//369++67BC4AqATSdn5ndAsAAJRbpQ5cCxYs0NKlS/XQQw/p7rvv1vHjx/XJJ59oyJAhGjVqlJ544glX9gkAKKcat+wqH98bjW4DLpZ75g/CNSoF7ptauZTFfVNLHbgWLlyo2NhYvfrqq7Z9Dz74oF588UW9/fbbysjI0KRJk1zSJACg/PLxvVG+/kFGtwEA1+3EiRMaN26s8vMLjG7FEJXxvqne3l6aOnWaS0NXqQPXr7/+qscee8xun5eXl1566SXVq1dP06ZN06lTp/TWW285vUkAAADA1XJycpSfX6AW91SVbw3WlqvozpyyaNe/zrv8vqmlDlw+Pj46c+ZMiccGDRqkGjVqaOLEiRoyZIjuvvtupzUIAAAAlCXfGib516pidBuoIEoduMLDw7Vx40b9/e9/L/H4Qw89JLPZrLFjx+q///2vs/oDAAAAALdV6rHSmJgY/fjjjzp48OBla7p27aq5c+eqShV+IwAAAAAApR7hevjhhxUdHa0aNWpcse62227T8uXLdeTIketuDgAAAADcWakDV7Vq1dSoUaNS1d5yyy265ZZbHG4KAAAAACqCUgeuS2VkZGj9+vU6ePCgzp49q+rVq6tBgwbq3LmzgoODnd0jAAAAALilawpc586d0xtvvKFFixbpwoULslqt9ifz9FTv3r31zDPPqFq1ak5tFAAAAADcTakDV2FhoYYMGaItW7aobdu2euCBBxQREaHq1avr7NmzSk1N1VdffaXPP/9chw4d0ocffsjiGQAAAAAqtVIHrs8//1xbtmzRpEmT1Ldv32LHmzRpogcffFCff/65XnjhBX3++efq37+/U5sFAAAAAHdS6mXhly1bprvuuqvEsHWpxx57TDExMVq6dOl1NwcAAAAA7qzUgevgwYPq3LlzqWo7d+6sQ4cOOdwUAAAAAFQEpQ5cHh4eslgspT6xh4eHQw0BAAAAQEVR6sAVFham9evXl6p2/fr1CgsLc7gpAAAAAKgISh24evTooR9++EFJSUlXrPv888/1/fffq0ePHtfdHAAAAAC4s1KvUti3b199++23eumll/Tdd9+pR48edsvC79+/X8uXL9ePP/6o1q1bX3VxDQAAAJTMYrEoNTVVp0+fVkBAgCIiImQylfr35ADKkVIHLk9PT82ePVuvvfaavvzyS23atMnuuNVqVZUqVdSrVy8999xz8vS8pnsqAwAAQNKWLVuUmJio48eP2/YFBQWpX79+io6ONrAzAI64plR0ww036MUXX9Q//vEPrVu3TgcOHNDZs2dVvXp1NWjQQF26dNFNN93kql4BXIOM3AKjW0AZ4N8ZqFi2bNmiGTNmKDIyUsOHD1dISIjS09O1bNkyzZgxQyNHjiR0AW7GoWGo4OBg9e7d29m9AHCiz/b/YXQLAIBrYLFYlJiYqMjISI0aNUppaWnavn27AgICNGrUKE2fPl2JiYlq06YN0wsBN1LqwHX+/Hm98soratSokQYMGHDZuk8//VQHDx7UhAkT5OXl5ZQmAVy7/uE3KtiH78GKLiO3gHANVBCpqak6fvy4YmJiNHbs2GJTCu+8805t375dqampatq0qYGdVnxnTpX+VkhwX2X171zqwLVgwQItXbpUKSkpV6y744479NZbbyk8PJyFMwADBft4KcTX2+g2AACldPr0aUkX33NFRUUVm1K4cOFCuzq4zq5/nTe6BVQgpQ5cK1asUGxsrEJCQq5YV7duXd1777365ptvCFwAAAClZDabJUnh4eEaM2aMbdpgo0aNNGbMGL344otKS0uz1cF1WtxTVb41mLZZ0Z05ZSmTcF3qwJWWlqb777+/VLWRkZH6/vvvHW4KAAAAMIpvDZP8a1Uxug1UEKWO7gUFBaW+JsvLy0v5+fkONwUAAFDZZGdnS7r4S+74+HilpaUpLy/Ptv3zzz/b1QFwD6Ue4apVq5btG/1qfv75Z9WqVcvhpgAAACqbgIAASVKfPn20Zs0aTZkyxXYsKChIvXv31sKFC211ANxDqQNXhw4dtGzZMj3xxBOqWbPmZetOnjypZcuW6Z577nFKgwCA8i33DKskVgb8O7teRESEgoKC9PPPP2vatGlKS0vT6dOnFRAQoMaNG2v69OkKCgpSRESE0a0CuAalDlyDBw/W8uXL9de//lWvvPKKWrZsWaxm586dmjBhgs6fP69BgwY5tVEAQPni5+cnL29vpe38zuhWUEa8vL3l5+dndBsVlslkUr9+/TRjxgxNnz5dPXr0UGRkpNLT0zV9+nTt2LFDI0eO5B5cgJspdeAKCQnR9OnTNWbMGD366KMKCQlR48aNVb16dZ09e1Y///yzfvvtN1WrVk3x8fGqW7euK/sGABgsMDBQ06ZOVU5OjtGtlKmjR48qISFBw4YNU+3atY1up0z5+fkpMDDQ6DYqtOjoaI0cOVKJiYnFphSOHDlS0dHRxjUHwCGlDlzSxXtsLV++XHPmzNEPP/yg7777v99q1qpVS71799bgwYOvunQ8AKBiCAwMrLRvwGvXrq3Q0FCj20AFFB0drTZt2ig1NdU2pTAiIoKRLcBNXVPgkqQ6derohRdekCSdOXNGZ8+eVfXq1eXr6+v05gAAACojk8mkpk2bGt0GACe45sB1KV9fX4LWNSrMOmN0CygD/DsDAABAus7AhWt3euNuo1sAAAAAUEYIXGUsoGNzefozKljRFWadIVwDAACAwFXWPP195VXT3+g2AAAAAJQBlrsBAAAAABchcAEAAACAixC4AAAAAMBFCFwAAAAA4CIELgAAAABwEVYpBCqojNxCo1tAGeDfGQCA8o3ABVQwfn5+8vby0mf7TxndCsqIt5eX/Pz8jG4DAACUgMAFVDCBgYGaOm2acnJyjG6lTB09elQJCQkaNmyYateubXQ7ZcrPz0+BgYFGtwHAiSwWi1JTU3X69GkFBAQoIiJCJhNXggDuiMAFVECBgYGV9g147dq1FRoaanQbAOCwLVu2KDExUcePH7ftCwoKUr9+/RQdHW1gZwAcQeACAAAoJ7Zs2aIZM2YoMjJSw4cPV0hIiNLT07Vs2TLNmDFDI0eOJHQBboaxaQAAgHLAYrEoMTFRkZGRGjNmjBo1aqRq1aqpUaNGGjNmjCIjI5WYmCiLxWJ0qwCuAYELAACgHEhNTdXx48fVs2fPYtdrmUwm9ejRQ8ePH1dqaqpBHQJwBIELAACgHDh9+rQkKSQkpMTjRfuL6gC4BwIXAABAORAQECBJSk9PL/F40f6iOgDugcAFAABQDkRERCgoKEjLli0rdp2WxWLR8uXLFRQUpIiICIM6BOAIAhcAAEA5YDKZ1K9fP+3YsUPx8fFKS0tTXl6e0tLSFB8frx07dqhfv37cjwtwMywLDwAAUE5ER0dr5MiRSkxM1JQpU2z7g4KCWBIecFPlKnCtWLFCy5cv108//aTs7GzVq1dPAwYM0MMPPywPDw9b3aJFizR37lz9/vvvCg0N1ejRo3XnnXfanSsnJ0evvfaavvvuOxUUFKhz586aMGGCatWqVdZPCwAAoNSio6PVpk0bpaam6vTp0woICFBERAQjW4CbKleB6+OPP1bt2rX17LPP6sYbb9SPP/6oiRMn6tixYxo+fLgk6ZtvvtHEiRM1dOhQtWvXTikpKRo+fLgSExPVqlUr27lGjRqlAwcOaMqUKapataqmT5+uwYMH68svv5SnZ7l62gAAAHZMJpOaNm1qdBsAnKBcJY/33ntPNWrUsG23b99ep0+f1kcffaRhw4bJZDLpnXfe0X333adRo0ZJktq1a6e0tDS9++67mjNnjiRpx44d2rBhg+bNm6dOnTpJkkJDQxUXF6dVq1YpLi6uzJ8bAAAAgMqnXI1NXxq2ijRp0kRnzpxRbm6u0tPT9csvv6hbt252NXFxcdq0aZPy8/MlSevWrZPZbFbHjh1tNWFhYWrSpInWrVvn2icBAAAAAP9fuQpcJdm2bZuCg4Pl6+urQ4cOSbo4WnWpBg0aqKCgwHZ/ikOHDik0NNTuui/pYugqOgcAAAAAuFq5mlL4Z1u3blVKSoqeeeYZSVJWVpYkyWw229UVbRcdz87Olp+fX7Hz+fv7a8+ePdfVk9VqVW5u7jV/3rlz567rceGezp0759DrBdeu6HuMrzlcjdcaUHHxfq1ycvTnudVqLTbAU5JyG7iOHTum0aNHq23btvrLX/5idDs2BQUF2rdv3zV/XkZGhgu6QXl3+PBh3pCVkaLvMb7mcDVeaygLFotFR48e1ZkzZ+Tr66vatWuzSmEZ4P1a5XQ9P8+9vb2vWlMuA1d2drYGDx6sgIAAzZw50/YDxt/fX9LFJd+DgoLs6i89bjabdezYsWLnzcrKstU4ysvLSw0bNrzmz/Px8bmux4V7Cg0NVb169Yxuo1Io+h7jaw5X47UGV9u2bZsWLVqkEydO2PYFBgaqd+/eat26tYGdVXy8X6ucHP15fuDAgVLVlbvAde7cOT3xxBPKycnRggUL7KYGhoWFSbp4jVbRx0XbXl5eCgkJsdVt2rSp2DDf4cOH1bhx4+vqz8PDw6FvxmrVqkmSCrPOXtfjwz0U/TtXq1aNH95lpOh7jK85XI3XGlxpy5Ytev/99xUZGakRI0YoJCRE6enpWrZsmd5//31ufuxiRd/fqFwc/XlemumEUjkLXIWFhRo1apQOHTqkxMREBQcH2x0PCQlR/fr1tXLlSnXt2tW2PyUlRe3bt7cN6XXp0kUJCQnatGmTOnToIOli2Nq7d68GDRpUdk/oEn5+fvLy9tbpjbsMeXyUPS9v7xKvJQQAoCQWi0WJiYmKjIzUmDFjbDN8GjVqpDFjxig+Pl6JiYlq06YN0wsBN1KuAtcLL7yg77//Xs8++6zOnDmj//73v7ZjTZs2lbe3t0aMGKFx48apbt26atu2rVJSUrRr1y599tlnttrIyEh16tRJ48eP1zPPPKOqVavq7bffVnh4uGJjYw14ZhenAkybOlU5OTmGPL5Rjh49qoSEBA0bNky1a9c2up0y5efnp8DAQKPbAAC4idTUVB0/flzDhw8vFqhMJpN69OihKVOmKDU1lZsiA26kXAWujRs3SpJef/31YsdWr16tOnXqqHv37srLy9OcOXM0e/ZshYaGatasWYqMjLSrnz59ul577TVNmjRJhYWF6tSpkyZMmCBPT+OecmBgYKV9A167du1iy/kDAID/c/r0aUmyXSLxZ0X7i+oAuIdyFbjWrFlTqrrevXurd+/eV6zx8/PTq6++qldffdUZrQEAALhUQECAJCk9PV2NGjUqdrzofqNFdQDcAxOAAQAAyoGIiAgFBQVp2bJlslgsdscsFouWL1+uoKAgRUREGNQhAEcQuAAAAMoBk8mkfv36aceOHYqPj1daWpry8vKUlpam+Ph47dixQ/369WPBDMDNlKsphQAAAJVZdHS0Ro4cqcTERE2ZMsW2PygoiCXhATdF4AIAAChHoqOj1aZNG6Wmpur06dMKCAhQREQEI1uAmyJwAQAAlDMmk4ml34EKgsAFAAAAXOLMKcvVi+D2yurfmcAFAAAA6OJthby9vbTrX+eNbgVlxNvbS35+fi59DAIXAAAAICkwMFBTp05TTk6O0a2UqaNHjyohIUHDhg1T7dq1jW6nTPn5+SkwMNClj0HgAgAAAP6/wMBAl78BL69q166t0NBQo9uocFjuBgAAAABchMAFAAAAAC5C4AIAAAAAFyFwAQAAAICLELgAAAAAwEUIXAAAAADgIgQuAAAAAHARAhcAAAAAuAg3PgYAAChnLBaLUlNTdfr0aQUEBCgiIkImE78nB9wRgQsAAKAc2bJlixITE3X8+HHbvqCgIPXr10/R0dEGdgbAEQQuAACAcmLLli2aMWOGIiMjNXz4cIWEhCg9PV3Lli3TjBkzNHLkSEIX4GYYmwYAACgHLBaLEhMTFRkZqTFjxqhRo0aqVq2aGjVqpDFjxigyMlKJiYmyWCxGtwrgGhC4AAAAyoHU1FQdP35cPXv2LHa9lslkUo8ePXT8+HGlpqYa1CEARxC4AAAAyoHTp09LkkJCQko8XrS/qA6AeyBwAQAAlAMBAQGSpPT09BKPF+0vqgPgHghcAAAA5UBERISCgoK0bNmyYtdpWSwWLV++XEFBQYqIiDCoQwCOIHABAACUAyaTSf369dOOHTsUHx+vtLQ05eXlKS0tTfHx8dqxY4f69evH/bgAN8Oy8AAAAOVEdHS0Ro4cqcTERE2ZMsW2PygoiCXhATdF4AIAAChHoqOj1aZNG6Wmpur06dMKCAhQREQEI1uAmyJwAQAAlDMmk0lNmzY1ug0ATsCvSgAAAADARQhcAAAAAOAiBC4AAAAAcBECFwAAAAC4CIELAAAAAFyEwAUAAAAALkLgAgAAAAAXIXABAAAAgIsQuAAAAADARQhcAAAAAOAiBC4AAAAAcBFPoxsAAMARGRkZys3NLfPHPXr0qN3fZc3Hx0fBwcGGPDYA4NoRuAAAbic7O1tjxoyR1Wo1rIeEhARDHtdkMikhIUFms9mQxwcAXBsCFwDA7ZjNZsXHxxsywmU0Hx8fwhYAuBECFwDALTGtDgDgDlg0AwAAAABchBEuAABKyWKxKDU1VadPn1ZAQIAiIiJkMvG7SwDA5RG4AAAohS1btigxMVHHjx+37QsKClK/fv0UHR1tYGcAgPKMwAUAwFVs2bJFM2bMUGRkpIYPH66QkBClp6dr2bJlmjFjhkaOHEnoAgCUiHkQAABcgcViUWJioiIjIzVmzBg1atRI1apVU6NGjTRmzBhFRkYqMTFRFovF6FYBAOUQgQsAgCtITU3V8ePH1bNnz2LXa5lMJvXo0UPHjx9XamqqQR0CAMozAhcAAFdw+vRpSVJISEiJx4v2F9UBAHApAhcAAFcQEBAgSUpPTy/xeNH+ojoAAC5F4AIA4AoiIiIUFBSkZcuWFbtOy2KxaPny5QoKClJERIRBHQIAyjMCFwAAV2AymdSvXz/t2LFD8fHxSktLU15entLS0hQfH68dO3aoX79+3I8LAFAiloUH4FQZGRnKzc0t88c9evSo3d9lzcfHR8HBwYY8NlwvOjpaI0eOVGJioqZMmWLbHxQUxJLwAIArInABcJrs7GyNGTNGVqvVsB4SEhIMeVyTyaSEhASZzWZDHh+uFx0drTZt2ig1NVWnT59WQECAIiIiGNkCAFwRgQuA05jNZsXHxxsywmU0Hx8fwlYlYDKZ1LRpU6PbAAC4EQIXAKcyYlpdYWGhVq1apczMTNWqVUuxsbHy9OTHGwAAMB7vSAC4taSkJKWkpNitHpeUlKS4uDj17dvXwM4AAAAIXADcWFJSkpKTk+Xv76/evXsrKipK27dv16JFi5ScnCxJhC4AAGAorvQF4JYKCwuVkpIif39/zZw5UzExMQoICFBMTIxmzpwpf39/paSkqLCw0OhWAQBAJcYIFwC3tGrVKlksFvXu3bvY9Vqenp7q1auX5s2bp1WrVikuLs6gLgEAKD1urVIxEbgAuKXMzExJUlRUVInHIyMj7eoAACjPuLVKxb21CoELgFuqVauWJGn79u2KiYkpdnzHjh12dQAAlGfcWqVihi2JwAXATcXGxiopKUmLFi1Sly5d7KYVFhYWavHixTKZTIqNjTWwSwAASq8iT6urzFg0A4Bb8vT0VFxcnLKysjRixAitXr1ap06d0urVqzVixAhlZWUpLi6O+3EBAABD8U4EgNsqWvI9JSVF8+bNs+03mUzq3r07S8IDAADDlasRrl9//VWTJk1Sz5491bRpU3Xv3r3EukWLFumee+5R8+bN1aNHD33//ffFanJycjR+/HhFR0crMjJSTz31FBfPAxVQ3759NXfuXEVFRSkkJERRUVGaO3cuYQsAAJQL5Spw/fzzz1q7dq3q1aunBg0alFjzzTffaOLEierWrZvmzJmjVq1aafjw4frvf/9rVzdq1Cht3LhRU6ZM0dSpU3X48GENHjyYe/IAFUxSUpIGDRqk7du3Kz09Xdu3b9egQYOUlJRkdGsAAADla0phTEyMunbtKkl69tlntWfPnmI177zzju677z6NGjVKktSuXTulpaXp3Xff1Zw5cyRdXJ1sw4YNmjdvnjp16iRJCg0NVVxcHPfkASqQpKQkJScny9/fX71791ZUVJS2b9+uRYsWKTk5WZIY6QIAAIYqVyNcJtOV20lPT9cvv/yibt262e2Pi4vTpk2blJ+fL0lat26dzGazOnbsaKsJCwtTkyZNtG7dOuc3DqDMFRYWKiUlRf7+/po5c6ZiYmIUEBCgmJgYzZw5U/7+/kpJSWFUGwAAGKpcBa6rOXTokKSLo1WXatCggQoKCpSenm6rCw0NlYeHh11dWFiY7RwA3NuqVatksVjUu3fvYisRenp6qlevXrJYLFq1apVBHQIAAJSzKYVXk5WVJUnFboxWtF10PDs7W35+fsU+39/fv8RpitfCarVWyhvSOercuXO2v/m6wZmOHj0qSWrSpEmJr60mTZrY6njtAQAAZ7NarcUGeEriVoGrPCgoKNC+ffuMbsNtZGRkSJIOHz7Mm144ldVqlSStXLlSLVq0KHZ8165dtjq+ZwEAgCt4e3tftcatApe/v7+ki0u+BwUF2fZnZ2fbHTebzTp27Fixz8/KyrLVOMrLy0sNGza8rnNUJj4+PpIuTgOtV6+ewd2gImnUqJHWrVunzZs36+GHH7abVlhYWKg5c+bIZDLp0Ucf5ebHAADA6Q4cOFCqOrd6FxIWFibp4jVaRR8XbXt5eSkkJMRWt2nTpmLDfIcPH1bjxo2vqwcPDw9biMDVVatWzfY3Xzc4W1xcnJKTk/XMM8+oV69eioyM1I4dO7R48WJlZ2ere/fuxaYgAwAAOENpphNKbrZoRkhIiOrXr6+VK1fa7U9JSVH79u1tQ3pdunRRVlaWNm3aZKs5fPiw9u7dqy5dupRpzwBcp2/fvurevbtycnI0b948DR8+XPPmzVNOTo66d+/OkvAAAMBw5WqEKy8vT2vXrpV08UL3M2fO2MJVdHS0atSooREjRmjcuHGqW7eu2rZtq5SUFO3atUufffaZ7TyRkZHq1KmTxo8fr2eeeUZVq1bV22+/rfDwcMXGxhry3AC4Rt++fdWnTx+tWrVKmZmZqlWrlmJjY5lGCAAAyoVy9Y7k5MmTGjlypN2+ou1PP/1Ubdu2Vffu3ZWXl6c5c+Zo9uzZCg0N1axZsxQZGWn3edOnT9drr72mSZMmqbCwUJ06ddKECRN4EwZUQJ6entzQHAAAlEse1qKlvnBVu3fvliQ1b97c4E7cx+HDh/X888/rlVdeKXb/NAAAAMBdlTYbuNU1XAAAAADgTghcAAAAAOAiBC4AAAAAcBECFwAAAAC4CIELAAAAAFyENdIriYyMDOXm5pb54x49etTu77Lm4+Oj4OBgQx4bAAAAIHBVAtnZ2RozZoyMvANAQkKCIY9rMpmUkJAgs9lsyOMDAACgciNwVQJms1nx8fGGjHAZzcfHh7AFAAAAwxC4Kgmm1QEAAABlj0UzAAAAAMBFCFwAAAAA4CIELgAAAABwEQIXAAAAALgIgQsAAAAAXITABQAAAAAuQuACAAAAABchcAEAAACAixC4AAAAAMBFCFwAAAAA4CIELgAAAABwEQIXAAAAALgIgQsAAAAAXITABQAAAAAuQuACAAAAABchcAEAAACAixC4AAAAAMBFPI1uwJ0UFBTIarVq9+7dRrcCAAAAwED5+fny8PC4ah2B6xqU5gsKAAAAoOLz8PAoVT7wsFqt1jLoBwAAAAAqHa7hAgAAAAAXIXABAAAAgIsQuAAAAADARQhcAAAAAOAiBC4AAAAAcBECFwAAAAC4CIELAAAAAFyEwAUAAAAALkLgAgAAAAAXIXABAAAAgIsQuAAAAADARQhcAAAAAOAiBC443cCBAxUbG6v8/Hy7/Xv27FHTpk312WefGdQZKprNmzcrPDz8in9mzpxpdJuoIGbOnHnZ19ns2bONbg8VRNHrrF+/fsWOvfLKK4qJiTGgK1REl/5Mi4iIUOvWrXX//ffrxRdf1MGDB41ur0LxNLoBVDyTJ09W9+7d9f777+upp56SJF24cEGTJk1S06ZN1bdvX4M7REXRrFkzLViwoMRjM2bM0JYtW9SpU6cy7goVWbVq1fTJJ58U23/zzTcb0A0qsq1bt2rz5s1q27at0a2gArv0Z9rZs2eVlpamBQsWaOHChXrllVfUs2dPgzusGAhccLq6devqiSee0Hvvvafu3bsrLCxM8+fPV2pqqhYvXiyTiYFVOIevr69atWpVbP/q1av1448/auTIkYqMjCz7xlBhmUymEl9zgDP5+PioYcOGSkhIIHDBpf78M61jx47q27evhgwZoueff15RUVEKCQkxrsEKgne+cInBgwerTp06mjJliv73v/9pxowZ6t+/v5o2bWp0a6jgMjIyNH78eEVHR2vo0KFGtwMADhk2bJj+/e9/a/v27Ua3gkqmatWqmjhxogoKCrRo0SKj26kQCFxwCW9vb02ZMkWbN29Wv379ZDabbdMLAVexWCx6+umnJUlTp05lNBUuUVhYWOwP4Gx33nmnmjZtqnfffdfoVlAJNWzYUMHBwdqxY4fRrVQIvBuBy7Rr107t2rXT0aNHNW7cOPn6+hrdEiq4OXPmaPPmzXrttdcUHBxsdDuogHJzc9WsWbNif7Zu3Wp0a6iAnnzySW3YsEG7du0yuhVUQjfffLNOnDhhdBsVAtdwwWUOHDigbdu2ycPDQ1u2bNH9999vdEuowHbu3Kl33nlHAwYMYBUvuEy1atVKXGk1LCzMgG5Q0d19991q3Lix3n33XX3wwQdGt4NKxmq1ysPDw+g2KgQCF1zCarVqypQpqlevnvr27auXXnpJDz/8MBebwyXOnDmjMWPGqGHDhvrnP/9pdDuowEwmk5o3b250G6gkPDw8NHToUI0ZM0Y//fST0e2gkjl27Jjq169vdBsVAlMK4RJLlizR1q1bNWXKFPXt21etWrXSlClTdOHCBaNbQwU0efJknTx5UvHx8fL29ja6HQBwmm7duik0NFQJCQlGt4JK5Oeff1ZGRgYr/ToJgQtO98cff+jNN9/Ugw8+qNtuu00eHh6aMmWK0tLSNH/+fKPbQwXz1VdfKTk5WRMmTFCDBg2MbgcAnMpkMmno0KFavXq19u/fb3Q7qATOnz+vl156Sd7e3urdu7fR7VQITCmE07355puSZFstTpIiIiLUv39/vfPOO+rWrRsLGsApfvvtN73wwgu69dZb1bBhQ/33v/8tVuPr66uGDRuWfXOokCwWS4mvs5o1a3KvGrjM/fffr3fffVebN29W7dq1jW4HFcilP9Nyc3NtNz5OT0/X66+/rjp16hjbYAVB4IJTbd26VUuXLtVLL72kGjVq2B176qmntGLFCr322muaPn26MQ2iQtm6datyc3O1Z88ePfLIIyXWREdHM7IKpzl37lyJr7VevXrplVdeMaAjVAZVqlTRkCFDNGHCBKNbQQVz6c80Hx8f1alTR+3bt9esWbOYNeJEHlar1Wp0EwAAAABQEXENFwAAAAC4CIELAAAAAFyEwAUAAAAALkLgAgAAAAAXIXABAAAAgIsQuAAAAADARQhcAAAAAOAiBC4AAP4kPDxcM2fONLoNAEAF4Gl0AwAAXM6SJUv03HPPlXhs8ODBGjduXBl3dNGAAQO0ZcuWq9YNHz5cI0aMKIOOAADlFYELAFDuPfXUU6pTp47dvsaNGxvUjTR06FD16tXLtr17927Nnz9fQ4cOVVhYmG1/eHi4Ee0BAMoRAhcAoNzr0qWLmjdvbnQbNh07drTbrlq1qubPn68OHTqobdu2BnUFACiPuIYLAODWLne9VUxMjJ599lm7fdnZ2XrllVd0++2369Zbb9Xdd9+t2bNny2KxOLWnL7/8UuHh4dq7d2+xY++//76aNGmijIwMSRenJ3bv3l179uzRo48+qhYtWigmJkaff/55sc/Nz8/XO++8o7vvvlu33nqrbr/9dr355pvKz893av8AAOdhhAsAUO6dOXNGp06dsttXo0aNazpHXl6e+vfvr4yMDD366KO6+eabtWPHDsXHx+v48eN6/vnnndbvPffcoxdffFFff/21mjZtanfs66+/VnR0tIKDg237srKyNGTIEHXr1k333XefVqxYoSlTpsjLy8s2ddFisejJJ5/Utm3b1KdPHzVo0EBpaWn65JNP9MsvvyghIcFp/QMAnIfABQAo9x5//PFi+/bv339N5/joo4+Unp6upUuXqn79+pKkRx99VLVq1dK8efP097//XTfffLMTupV8fX3VtWtXJScn6+mnn5bJdHFCyd69e3XgwAENHDjQrj4zM1PPPvus/va3v0mSHnnkEfXp00fx8fHq2bOnvLy89PXXX+vHH3/U/Pnz1aZNG9vnNmrUSJMnT9b27dsVFRXllP4BAM7DlEIAQLk3adIkffTRR3Z/rtXKlSvVunVrmc1mnTp1yvanQ4cOunDhgv7zn/84teeePXsqMzNTmzdvtu37+uuvVa1aNcXGxtrVenp66pFHHrFte3t765FHHtHJkyf1008/2fpv0KCBwsLC7Ppv166dJNk9DgCg/GCECwBQ7rVo0eK6F8349ddftX//frVv377E43+esni9OnbsqKCgIC1fvlzt27eXxWJRcnKy7rrrLvn6+trV1qpVSz4+Pnb7ikbhjh49qlatWunXX3/VwYMHL9v/yZMnndo/AMA5CFwAgArpwoULdtsWi0UdO3bUoEGDSqwvCjjOUqVKFd1///1auHChpkyZou3btyszM1M9evRw6HwWi0WNGze+7H3JbrrpputpFwDgIgQuAIBb8/f3V3Z2tt2+/Px8HT9+3G5f3bp1lZubqw4dOpRZbz179tSHH36oNWvWaN26dapRo4Y6depUrC4zM1O5ubl2o1y//PKLJKl27dqSLvafmpqq9u3by8PDo0z6BwBcP67hAgC4tZCQEG3dutVu38KFC4uNcHXr1k07duzQ+vXri50jOztbhYWFTu8tIiJC4eHhWrx4sVatWqX77rtPnp7Ff9dZWFioBQsW2Lbz8/O1YMEC1ahRQ82aNbP1n5GRoYULFxb7/HPnzik3N9fp/QMArh8jXAAAt9a7d29NnjxZI0aMUIcOHZSamqoNGzboxhtvtKsbOHCg1qxZo6FDh+rBBx9Us2bNlJeXp7S0NP3rX//S6tWrr3mp+dJ44IEH9MYbb0jSZacT1qpVS3PmzNHRo0dVv359paSkaN++fXrppZfk5eUl6eJo2YoVKzR58mRt3rxZUVFRunDhgg4dOqSVK1dq7ty55erm0ACAiwhcAAC31qdPHx05ckSLFy/W+vXr1bp1a3300UfFlpK/4YYbNH/+fH3wwQdauXKlvvrqK/n6+qp+/foaMWKE/Pz8XNLf/fffr6lTpyokJEQtWrQoscbf31+vv/66Xn75ZS1cuFCBgYGaNGmS+vTpY6sxmUx699139fHHH2vZsmX69ttvdcMNN6hOnToaMGCAQkNDXdI/AOD6eFitVqvRTQAAUFGdOnVKnTt31rBhw/SPf/yj2PEBAwbojz/+UHJysgHdAQBcjWu4AABwoaVLl+rChQvq2bOn0a0AAAzAlEIAAFxg06ZNOnjwoN5//3117dpVderUMbolAIABCFwAALhAQkKCduzYocjISE2cONHodgAABuEaLgAAAABwEa7hAgAAAAAXIXABAAAAgIsQuAAAAADARQhcAAAAAOAiBC4AAAAAcBECFwAAAAC4CIELAAAAAFyEwAUAAAAALkLgAgAAAAAX+X8hTsq29kUWdwAAAABJRU5ErkJggg==\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "id": "KVSc83pMX39n", + "metadata": { + "id": "KVSc83pMX39n" + }, + "source": [ + "## 6. Train / Test split\n", + "\n", + "Split the data into training and test sets. Model selection is done on the training set only.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "uRgyGgsTX39n", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:13.508622Z", + "iopub.status.busy": "2026-03-24T12:15:13.508351Z", + "iopub.status.idle": "2026-03-24T12:15:13.521980Z", + "shell.execute_reply": "2026-03-24T12:15:13.520976Z" + }, + "id": "uRgyGgsTX39n", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "388d8c93-5ee4-4d8b-d6ea-51eb89646f8a" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "X_train: (18044, 10)\n", + "X_test : (4511, 10)\n" + ] + } + ], + "source": [ + "X = selected_df.drop(columns=[target])\n", + "y = selected_df[target]\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " X, y, test_size=0.2, random_state=42\n", + ")\n", + "\n", + "print(\"X_train:\", X_train.shape)\n", + "print(\"X_test :\", X_test.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "WXbupnq0X39n", + "metadata": { + "id": "WXbupnq0X39n" + }, + "source": [ + "## 7. Helper functions\n", + "\n", + "Define helper functions for building pipelines and computing evaluation metrics.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "f8muRKzwX39o", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:13.525077Z", + "iopub.status.busy": "2026-03-24T12:15:13.524769Z", + "iopub.status.idle": "2026-03-24T12:15:13.536013Z", + "shell.execute_reply": "2026-03-24T12:15:13.535110Z" + }, + "id": "f8muRKzwX39o" + }, + "outputs": [], + "source": [ + "def build_pipeline(num_features, cat_features, poly_degree=None):\n", + " if poly_degree is None:\n", + " numeric_transformer = \"passthrough\"\n", + " else:\n", + " numeric_transformer = PolynomialFeatures(degree=poly_degree, include_bias=False)\n", + "\n", + " preprocessor = ColumnTransformer(\n", + " transformers=[\n", + " (\"num\", numeric_transformer, num_features),\n", + " (\"cat\", OneHotEncoder(drop=\"first\", handle_unknown=\"ignore\"), cat_features)\n", + " ],\n", + " remainder=\"drop\"\n", + " )\n", + "\n", + " model = Pipeline(steps=[\n", + " (\"preprocessor\", preprocessor),\n", + " (\"regressor\", LinearRegression())\n", + " ])\n", + " return model\n", + "\n", + "\n", + "def build_estimator(spec):\n", + " pipeline = build_pipeline(\n", + " num_features=spec[\"num\"],\n", + " cat_features=spec[\"cat\"],\n", + " poly_degree=spec[\"poly_degree\"]\n", + " )\n", + "\n", + " if spec.get(\"log_target\", False):\n", + " return TransformedTargetRegressor(\n", + " regressor=pipeline,\n", + " func=np.log,\n", + " inverse_func=np.exp\n", + " )\n", + "\n", + " return pipeline\n", + "\n", + "\n", + "def evaluate_model(name, estimator, X_train, y_train, cv):\n", + " scoring = {\n", + " \"mae\": \"neg_mean_absolute_error\",\n", + " \"mse\": \"neg_mean_squared_error\",\n", + " \"rmse\": \"neg_root_mean_squared_error\",\n", + " \"r2\": \"r2\"\n", + " }\n", + "\n", + " cv_scores = cross_validate(\n", + " estimator,\n", + " X_train,\n", + " y_train,\n", + " cv=cv,\n", + " scoring=scoring\n", + " )\n", + "\n", + " return {\n", + " \"Model\": name,\n", + " \"CV_MAE\": -cv_scores[\"test_mae\"].mean(),\n", + " \"CV_MSE\": -cv_scores[\"test_mse\"].mean(),\n", + " \"CV_RMSE\": -cv_scores[\"test_rmse\"].mean(),\n", + " \"CV_R2\": cv_scores[\"test_r2\"].mean()\n", + " }\n", + "\n", + "\n", + "def evaluate_on_test(estimator, X_train, y_train, X_test, y_test):\n", + " estimator.fit(X_train, y_train)\n", + " y_pred = estimator.predict(X_test)\n", + " return y_pred, {\n", + " \"Test_MAE\": mean_absolute_error(y_test, y_pred),\n", + " \"Test_MSE\": mean_squared_error(y_test, y_pred),\n", + " \"Test_RMSE\": mean_squared_error(y_test, y_pred) ** 0.5,\n", + " \"Test_R2\": r2_score(y_test, y_pred)\n", + " }\n" + ] + }, + { + "cell_type": "code", + "source": [ + "cv = KFold(n_splits=10, shuffle=True, random_state=42)" + ], + "metadata": { + "id": "auldWhwFsMV1" + }, + "id": "auldWhwFsMV1", + "execution_count": 19, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "k72JrZqIX39o", + "metadata": { + "id": "k72JrZqIX39o" + }, + "source": [ + "## 8. Define 6 models\n", + "\n", + "Eight candidate models are defined to compare simple, full, interaction, polynomial, and transformed-target specifications.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "wBcUoIrvX39o", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:13.539540Z", + "iopub.status.busy": "2026-03-24T12:15:13.538985Z", + "iopub.status.idle": "2026-03-24T12:15:13.546665Z", + "shell.execute_reply": "2026-03-24T12:15:13.545698Z" + }, + "id": "wBcUoIrvX39o" + }, + "outputs": [], + "source": [ + "model_specs = [\n", + " {\n", + " \"name\": \"Model 1 - Baseline Fuel\",\n", + " \"num\": [\"Fuel Consumption Comb (L/100 km)\"],\n", + " \"cat\": [],\n", + " \"poly_degree\": None,\n", + " \"log_target\": False,\n", + " \"complexity\": 1\n", + " },\n", + " {\n", + " \"name\": \"Model 2 - Engine Only\",\n", + " \"num\": [\"Engine Size(L)\", \"Cylinders\"],\n", + " \"cat\": [],\n", + " \"poly_degree\": None,\n", + " \"log_target\": False,\n", + " \"complexity\": 2\n", + " },\n", + " {\n", + " \"name\": \"Model 3 - Parsimonious Mixed\",\n", + " \"num\": [\"Engine Size(L)\", \"Cylinders\", \"Fuel Consumption Comb (L/100 km)\"],\n", + " \"cat\": [\"Vehicle Class\", \"Fuel Type\"],\n", + " \"poly_degree\": None,\n", + " \"log_target\": False,\n", + " \"complexity\": 3\n", + " },\n", + " {\n", + " \"name\": \"Model 4 - Full Linear\",\n", + " \"num\": numeric_cols,\n", + " \"cat\": categorical_cols,\n", + " \"poly_degree\": None,\n", + " \"log_target\": False,\n", + " \"complexity\": 6\n", + " },\n", + " {\n", + " \"name\": \"Model 5 - Polynomial\",\n", + " \"num\": [\"Engine Size(L)\", \"Fuel Consumption Comb (L/100 km)\"],\n", + " \"cat\": [\"Fuel Type\"],\n", + " \"poly_degree\": 2,\n", + " \"log_target\": False,\n", + " \"complexity\": 5\n", + " },\n", + " {\n", + " \"name\": \"Model 6 - Interaction Model\",\n", + " \"num\": [\n", + " \"Engine Size(L)\",\n", + " \"Fuel Consumption Comb (L/100 km)\",\n", + " \"Engine Size x Fuel Consumption\"\n", + " ],\n", + " \"cat\": [\"Fuel Type\"],\n", + " \"poly_degree\": None,\n", + " \"log_target\": False,\n", + " \"complexity\": 4\n", + " }\n", + "]" + ] + }, + { + "cell_type": "markdown", + "id": "19eb2ffd", + "metadata": { + "id": "19eb2ffd" + }, + "source": [ + "## 9. Cross-validation on the training set\n", + "\n", + "Evaluate all candidate models with cross-validation using **MAE, MSE, RMSE, and R2**.\n" + ] + }, + { + "cell_type": "markdown", + "id": "e007688c", + "metadata": { + "id": "e007688c" + }, + "source": [ + "### 9.1 Run cross-validation for all models" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "804cf751", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:13.550247Z", + "iopub.status.busy": "2026-03-24T12:15:13.549975Z", + "iopub.status.idle": "2026-03-24T12:15:14.553472Z", + "shell.execute_reply": "2026-03-24T12:15:14.552743Z" + }, + "id": "804cf751", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 238 + }, + "outputId": "4ee0dd63-d351-4eaf-d141-748147c3449b" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Model CV_MAE CV_MSE CV_RMSE CV_R2 \\\n", + "0 Model 5 - Polynomial 2.834338 18.950246 4.347888 0.994587 \n", + "1 Model 4 - Full Linear 2.498553 20.423203 4.516405 0.994161 \n", + "2 Model 3 - Parsimonious Mixed 2.706328 24.678358 4.963923 0.992944 \n", + "3 Model 6 - Interaction Model 3.002125 24.953650 4.992023 0.992868 \n", + "4 Model 1 - Baseline Fuel 13.156772 518.192992 22.754316 0.851692 \n", + "5 Model 2 - Engine Only 25.339823 1084.908411 32.932138 0.689549 \n", + "\n", + " Complexity \n", + "0 5 \n", + "1 6 \n", + "2 3 \n", + "3 4 \n", + "4 1 \n", + "5 2 " + ], + "text/html": [ + "\n", + "
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ModelCV_MAECV_MSECV_RMSECV_R2Complexity
0Model 5 - Polynomial2.83433818.9502464.3478880.9945875
1Model 4 - Full Linear2.49855320.4232034.5164050.9941616
2Model 3 - Parsimonious Mixed2.70632824.6783584.9639230.9929443
3Model 6 - Interaction Model3.00212524.9536504.9920230.9928684
4Model 1 - Baseline Fuel13.156772518.19299222.7543160.8516921
5Model 2 - Engine Only25.3398231084.90841132.9321380.6895492
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "results_df", + "summary": "{\n \"name\": \"results_df\",\n \"rows\": 6,\n \"fields\": [\n {\n \"column\": \"Model\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"Model 5 - Polynomial\",\n \"Model 4 - Full Linear\",\n \"Model 2 - Engine Only\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CV_MAE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 9.346863018827566,\n \"min\": 2.4985534897575903,\n \"max\": 25.339822835271942,\n \"num_unique_values\": 6,\n \"samples\": [\n 2.8343383310443473,\n 2.4985534897575903,\n 25.339822835271942\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CV_MSE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 440.5346504021316,\n \"min\": 18.950246464091446,\n \"max\": 1084.9084110576523,\n \"num_unique_values\": 6,\n \"samples\": [\n 18.950246464091446,\n 20.42320338452579,\n 1084.9084110576523\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CV_RMSE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 12.376910706524242,\n \"min\": 4.347888403650218,\n \"max\": 32.93213813932252,\n \"num_unique_values\": 6,\n \"samples\": [\n 4.347888403650218,\n 4.516404739091246,\n 32.93213813932252\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CV_R2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12606697169203201,\n \"min\": 0.6895487577751945,\n \"max\": 0.9945866932422266,\n \"num_unique_values\": 6,\n \"samples\": [\n 0.9945866932422266,\n 0.9941610614840531,\n 0.6895487577751945\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Complexity\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1,\n \"min\": 1,\n \"max\": 6,\n \"num_unique_values\": 6,\n \"samples\": [\n 5,\n 6,\n 2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 21 + } + ], + "source": [ + "results = []\n", + "\n", + "for spec in model_specs:\n", + " estimator = build_estimator(spec)\n", + " results.append(\n", + " evaluate_model(\n", + " name=spec[\"name\"],\n", + " estimator=estimator,\n", + " X_train=X_train,\n", + " y_train=y_train,\n", + " cv=cv\n", + " )\n", + " )\n", + "\n", + "results_df = pd.DataFrame(results)\n", + "results_df[\"Complexity\"] = results_df[\"Model\"].map({spec[\"name\"]: spec[\"complexity\"] for spec in model_specs})\n", + "results_df = results_df.sort_values(by=[\"CV_RMSE\", \"CV_R2\", \"Complexity\"], ascending=[True, False, True]).reset_index(drop=True)\n", + "results_df" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "2pEqjUv3X39q", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:14.556647Z", + "iopub.status.busy": "2026-03-24T12:15:14.556288Z", + "iopub.status.idle": "2026-03-24T12:15:14.722809Z", + "shell.execute_reply": "2026-03-24T12:15:14.721795Z" + }, + "id": "2pEqjUv3X39q", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 472 + }, + "outputId": "8d78512d-f1b9-4de9-dd53-6f44ff76df9e" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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+ }, + "metadata": {} + } + ], + "source": [ + "plot_df = results_df.sort_values(\"CV_R2\", ascending=True)\n", + "plt.figure(figsize=(10, 5))\n", + "plt.barh(plot_df[\"Model\"], plot_df[\"CV_R2\"])\n", + "plt.title(\"Cross-Validated R2 Comparison\")\n", + "plt.xlim(0, 1)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "B4qtNAyHX39r", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:14.725875Z", + "iopub.status.busy": "2026-03-24T12:15:14.725551Z", + "iopub.status.idle": "2026-03-24T12:15:14.887963Z", + "shell.execute_reply": "2026-03-24T12:15:14.887175Z" + }, + "id": "B4qtNAyHX39r", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 472 + }, + "outputId": "888e1e8a-48a1-4d48-ae98-c8d3e6a2eee3" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {} + } + ], + "source": [ + "plot_df = results_df.sort_values(\"CV_RMSE\", ascending=True)\n", + "plt.figure(figsize=(10, 5))\n", + "plt.barh(plot_df[\"Model\"], plot_df[\"CV_RMSE\"])\n", + "plt.title(\"Cross-Validated RMSE Comparison\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "compare-8-models-sec9", + "metadata": { + "id": "compare-8-models-sec9" + }, + "source": [ + "### 9.2 Comparison of the 6 models\n", + "\n", + "The cross-validation results show a clear ranking across the eight candidate models. **Model 5 (Polynomial)** gives the best predictive performance because it has the lowest CV RMSE (4.35) and the highest CV R2 (0.9946). **Model 4 (Full Linear)** is very close, while **Model 3 (Parsimonious Mixed)** remains highly competitive with lower complexity and better interpretability.\n", + "\n", + "| Model | CV RMSE | CV R2 | Complexity | Strengths | Weaknesses |\n", + "|---|---:|---:|---:|---|---|\n", + "| Model 1 - Baseline Fuel | 22.76 | 0.8517 | 1 | Simplest model and very easy to explain because it uses only combined fuel consumption. | Predictive performance is weak and it ignores engine and vehicle characteristics. |\n", + "| Model 2 - Engine Only | 32.94 | 0.6895 | 2 | Still simple and interpretable, with coefficients tied directly to engine size and cylinders. | Worst predictive accuracy, so engine information alone is not enough to explain emissions well. |\n", + "| Model 3 - Parsimonious Mixed | 4.97 | 0.9929 | 3 | Best balance of strong prediction, moderate simplicity, and good interpretability. | Slightly less accurate than Models 4 and 5, and categorical terms add some complexity. |\n", + "| Model 4 - Full Linear | 4.52 | 0.9942 | 6 | Excellent predictive performance and broad feature coverage. | More complex, harder to explain cleanly, and less parsimonious than necessary. |\n", + "| Model 5 - Polynomial | 4.35 | 0.9946 | 5 | Best predictive performance because nonlinear terms capture curvature. | Polynomial effects are harder to interpret directly, so explanatory value is lower than Model 3. |\n", + "| Model 6 - Interaction Model | 4.99 | 0.9929 | 4 | Captures interaction structure and still performs well. | Less interpretable than a simple linear model and still not as accurate as Models 3 to 5. |\n", + "\n", + "Overall, **Models 1 to 2** are simple but not accurate enough, **Models 3 to 5** are the strong-performing group.Therefore, **Model 3** is retained as the final explanatory model because it offers the best trade-off between predictive performance, simplicity, and interpretability, while **Model 5** is the best model for pure prediction.\n" + ] + }, + { + "cell_type": "markdown", + "id": "48053eaf", + "metadata": { + "id": "48053eaf" + }, + "source": [ + "## 10. Compare parsimonious vs full model\n", + "\n", + "Compare the parsimonious model with the full model to balance fit and interpretability.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "e87d6008", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:14.891021Z", + "iopub.status.busy": "2026-03-24T12:15:14.890724Z", + "iopub.status.idle": "2026-03-24T12:15:15.136598Z", + "shell.execute_reply": "2026-03-24T12:15:15.135834Z" + }, + "id": "e87d6008", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 305 + }, + "outputId": "0d926a6b-24c2-48a7-b989-31c2d256bc3e" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + " Model Adj_R2_train AIC_train BIC_train\n", + "0 Parsimonious Mixed 0.992964 109027.455968 109214.669612\n", + "1 Full Linear 0.994177 105643.856009 106080.687845\n", + "2 Polynomial 0.994177 105643.856009 106080.687845" + ], + "text/html": [ + "\n", + "
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ModelAdj_R2_trainAIC_trainBIC_train
0Parsimonious Mixed0.992964109027.455968109214.669612
1Full Linear0.994177105643.856009106080.687845
2Polynomial0.994177105643.856009106080.687845
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ModelCV_MAECV_MSECV_RMSECV_R2Complexity
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Final model selection\n", + "\n", + "Among the candidate models, **Model 5 (Polynomial Regression)** achieved the lowest cross-validation RMSE, which indicates the strongest predictive performance. However, its higher complexity and the inclusion of polynomial terms make the model less interpretable.\n", + "\n", + "**Model 3 (Parsimonious Mixed Model)**, while slightly less accurate, uses fewer predictors and still remains competitive in cross-validation and test performance. Since one of the main goals of regression analysis is not only prediction but also explanation of the relationship between predictors and the response variable, interpretability is an important criterion in this study.\n", + "\n", + "Therefore, **Model 3 is selected as the final model** because it provides the best balance between predictive performance and interpretability.\n", + "\n", + "| Model | CV RMSE | Complexity |\n", + "|---|---:|---|\n", + "| Model 3 | 4.97 | Low |\n", + "| Model 4 | 4.52 | Medium |\n", + "| Model 5 | 4.35 | High |\n", + "\n", + "Although **Model 5** delivers the best predictive accuracy, **Model 3** is chosen as the final explanatory model because it is simpler, easier to interpret, and still performs competitively.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "dxwEsBE0X39s", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:15.140424Z", + "iopub.status.busy": "2026-03-24T12:15:15.139981Z", + "iopub.status.idle": "2026-03-24T12:15:15.189703Z", + "shell.execute_reply": "2026-03-24T12:15:15.188820Z" + }, + "id": "dxwEsBE0X39s", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "e8ab73df-1015-45bf-b551-e2f06065593a" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Selected explanatory model: Model 3 - Parsimonious Mixed\n", + "Test MAE : 2.6437467617797723\n", + "Test MSE : 23.0531640610725\n", + "Test RMSE: 4.801371060548487\n", + "Test R2 : 0.9936308129342014\n" + ] + } + ], + "source": [ + "main_spec = pars_spec\n", + "\n", + "main_pipeline = build_pipeline(\n", + " num_features=main_spec[\"num\"],\n", + " cat_features=main_spec[\"cat\"],\n", + " poly_degree=main_spec[\"poly_degree\"]\n", + ")\n", + "\n", + "main_pipeline.fit(X_train, y_train)\n", + "main_pred_test = main_pipeline.predict(X_test)\n", + "\n", + "print(\"Selected explanatory model:\", main_spec[\"name\"])\n", + "print(\"Test MAE :\", mean_absolute_error(y_test, main_pred_test))\n", + "print(\"Test MSE :\", mean_squared_error(y_test, main_pred_test))\n", + "print(\"Test RMSE:\", mean_squared_error(y_test, main_pred_test) ** 0.5)\n", + "print(\"Test R2 :\", r2_score(y_test, main_pred_test))" + ] + }, + { + "cell_type": "markdown", + "id": "qFyr58maX39s", + "metadata": { + "id": "qFyr58maX39s" + }, + "source": [ + "## 12. Fit the selected model with statsmodels\n", + "\n", + "Refit the selected model with `statsmodels` to obtain coefficients and diagnostic statistics.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "48aUIS7mX39s", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:15.194593Z", + "iopub.status.busy": "2026-03-24T12:15:15.194151Z", + "iopub.status.idle": "2026-03-24T12:15:15.258038Z", + "shell.execute_reply": "2026-03-24T12:15:15.257178Z" + }, + "id": "48aUIS7mX39s", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "6e6d065a-f721-49e1-c5c5-d78cef40a093" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " OLS Regression Results \n", + "===============================================================================\n", + "Dep. Variable: CO2 Emissions(g/km) R-squared: 0.993\n", + "Model: OLS Adj. R-squared: 0.993\n", + "Method: Least Squares F-statistic: 1.107e+05\n", + "Date: Fri, 03 Apr 2026 Prob (F-statistic): 0.00\n", + "Time: 15:06:03 Log-Likelihood: -54490.\n", + "No. Observations: 18044 AIC: 1.090e+05\n", + "Df Residuals: 18020 BIC: 1.092e+05\n", + "Df Model: 23 \n", + "Covariance Type: nonrobust \n", + "==========================================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "----------------------------------------------------------------------------------------------------------\n", + "const 34.4134 0.361 95.375 0.000 33.706 35.121\n", + "Engine Size(L) -0.2634 0.080 -3.299 0.001 -0.420 -0.107\n", + "Cylinders 0.2553 0.058 4.418 0.000 0.142 0.369\n", + "Fuel Consumption Comb (L/100 km) 22.7320 0.030 754.265 0.000 22.673 22.791\n", + "Vehicle Class_FULL-SIZE 2.1460 0.180 11.935 0.000 1.794 2.498\n", + "Vehicle Class_MID-SIZE 0.6987 0.143 4.887 0.000 0.418 0.979\n", + "Vehicle Class_MINICOMPACT 0.1111 0.207 0.537 0.591 -0.295 0.517\n", + "Vehicle Class_MINIVAN 1.1858 0.304 3.903 0.000 0.590 1.781\n", + "Vehicle Class_PICKUP TRUCK - SMALL 1.8076 0.283 6.390 0.000 1.253 2.362\n", + "Vehicle Class_PICKUP TRUCK - STANDARD 0.6338 0.189 3.361 0.001 0.264 1.003\n", + "Vehicle Class_SPECIAL PURPOSE VEHICLE 5.8125 0.518 11.221 0.000 4.797 6.828\n", + "Vehicle Class_STATION WAGON - MID-SIZE -0.4478 0.299 -1.496 0.135 -1.035 0.139\n", + "Vehicle Class_STATION WAGON - SMALL -0.5759 0.213 -2.706 0.007 -0.993 -0.159\n", + "Vehicle Class_SUBCOMPACT 0.1134 0.160 0.708 0.479 -0.201 0.428\n", + "Vehicle Class_SUV -0.7074 0.163 -4.338 0.000 -1.027 -0.388\n", + "Vehicle Class_SUV - SMALL 2.6000 0.172 15.125 0.000 2.263 2.937\n", + "Vehicle Class_SUV - STANDARD 3.2540 0.209 15.556 0.000 2.844 3.664\n", + "Vehicle Class_TWO-SEATER 0.6936 0.193 3.603 0.000 0.316 1.071\n", + "Vehicle Class_VAN - CARGO -4.2226 0.355 -11.897 0.000 -4.918 -3.527\n", + "Vehicle Class_VAN - PASSENGER -7.2048 0.382 -18.841 0.000 -7.954 -6.455\n", + "Fuel Type_E -145.8253 0.398 -366.041 0.000 -146.606 -145.044\n", + "Fuel Type_N -97.3703 0.977 -99.645 0.000 -99.286 -95.455\n", + "Fuel Type_X -31.3655 0.323 -97.100 0.000 -31.999 -30.732\n", + "Fuel Type_Z -31.0451 0.333 -93.271 0.000 -31.697 -30.393\n", + "==============================================================================\n", + "Omnibus: 6116.252 Durbin-Watson: 1.999\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 540452.599\n", + "Skew: 0.696 Prob(JB): 0.00\n", + "Kurtosis: 29.775 Cond. No. 369.\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n" + ] + } + ], + "source": [ + "main_train = X_train[main_spec[\"num\"] + main_spec[\"cat\"]].copy()\n", + "main_train_dm = pd.get_dummies(main_train, drop_first=True, dtype=float)\n", + "X_train_sm = sm.add_constant(main_train_dm, has_constant=\"add\").astype(float)\n", + "y_train_sm = y_train.astype(float)\n", + "\n", + "ols_main = sm.OLS(y_train_sm, X_train_sm).fit()\n", + "print(ols_main.summary())" + ] + }, + { + "cell_type": "markdown", + "id": "fc3e83ae", + "metadata": { + "id": "fc3e83ae" + }, + "source": [ + "**Interpretation of Regression Coefficients**\n", + "\n", + "In multiple linear regression, each coefficient represents the **conditional effect** of a predictor on the response variable while holding other variables constant.\n", + "\n", + "The most important predictor in the model is **Fuel Consumption Comb (L/100 km)**. \n", + "Holding other variables constant, an increase of 1 L/100 km in combined fuel consumption is associated with an increase in predicted CO₂ emissions.\n", + "\n", + "- Vehicle class also have some contributes to emission differences. We can observe most of the weight for each class are basicly does not contribute much in the final CO2 Emissions values. And we can also see that there is a trend where larger vehicle generally have higher weight, which may indicate that larger vehicle classes is associate with higher CO₂ emissions compared to smaller vehicles. This make sense as vehicle class ussually reflect differences in vehicle size, weight, and engine requirements.\n", + "\n", + " But there are other class that does not follow this trend like VAN - PASSENGER class and VAN - CARGO class. As these larger classes (see [Data discription](https://natural-resources.canada.ca/energy-efficiency/transportation-energy-efficiency/personal-vehicles/understanding-tables)) have smaller weight than class PICKUP TRUCK - SMALL, even though the size of both van are more likely to be bigger than the size of class PICKUP TRUCK - SMALL. This may suggest that the label may not be well define enough to be use in the model.\n", + "\n", + "- Engine size does not appear to have a strong independent effect once fuel consumption and other predictors are included. This suggests that fuel consumption already captures much of the impact of engine characteristics on emissions.\n", + "\n", + "- It can be seen that fuel type has a significant impact on CO2 emissions, as fuel types E, X, and Z have high coef, high t, and zero P values, indicating that fuel type greatly affects emissions.\n", + "\n", + "- Overall, the results indicate that fuel consumption, fuel type and a small portion is vehicle class is the primary determinant of vehicle CO₂ emissions.\n" + ] + }, + { + "cell_type": "markdown", + "id": "I8R1cdY0X394", + "metadata": { + "id": "I8R1cdY0X394" + }, + "source": [ + "## 13. Regression diagnostics\n", + "\n", + "To assest how good our model is, we can use the **Residual vs Fitted plot** to figure out what is wrong. And to figure how bad does our model fail to predict, we can use a test call **Breusch-Pagan test**" + ] + }, + { + "cell_type": "markdown", + "source": [ + "### 13.1 Residuals plot" + ], + "metadata": { + "id": "JDExD2Uri6ze" + }, + "id": "JDExD2Uri6ze" + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "jrqwCu7FX394", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:15.282296Z", + "iopub.status.busy": "2026-03-24T12:15:15.281628Z", + "iopub.status.idle": "2026-03-24T12:15:15.495976Z", + "shell.execute_reply": "2026-03-24T12:15:15.495042Z" + }, + "id": "jrqwCu7FX394", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 496 + }, + "outputId": "d33e5953-36b2-4ba2-caf6-6161f239237c" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ], + "source": [ + "fitted = ols_main.fittedvalues\n", + "residuals = ols_main.resid\n", + "\n", + "plt.figure(figsize=(7, 5))\n", + "plt.scatter(fitted, residuals, alpha=0.6)\n", + "plt.axhline(0, color=\"red\", linestyle=\"--\")\n", + "plt.xlabel(\"Fitted values\")\n", + "plt.ylabel(\"Residuals\")\n", + "plt.title(\"Residuals vs Fitted\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "source": [ + "Here the **Residuals vs Fitted plot** is used to evaluate the assumption we make in linear regression and model performance.\n", + "\n", + "Ideally, the residuals should be randomly scattered around zero without any clear pattern. If there's a strong curved pattern then it would suggest model may be wrong. While a funnel-shaped pattern would suggest *heteroscedasticity* (i.e. assumption that the variance is constants is wrong). However, for models with many predictor (like the current model), these patterns may not highlight what is the problem, just there is a problem with either our assumption about the data set or the model.\n", + "\n", + "As with this dataset, we can immeditately see there are a number of point that does not align on (roughly) the same axis as the residuals line, which may suggest there are problems with the model. However most of the residuals are locate on centered around model line and do not show strong curvature.\n", + "\n" + ], + "metadata": { + "id": "mstj9uEtkdBl" + }, + "id": "mstj9uEtkdBl" + }, + { + "cell_type": "markdown", + "source": [ + "### 13.2 Breusch-Pagan test" + ], + "metadata": { + "id": "jW-XhcI_vjaq" + }, + "id": "jW-XhcI_vjaq" + }, + { + "cell_type": "markdown", + "source": [ + "If we ignore values that does not align properly, we can observe that there is (maybe) a small funnel formming. To assest whether there is heteroscedasticity (a funnal shape data) in the residuals plots, we can use a test call **Breusch-Pagan test**. But to utilized the test properly, we need to figure out the what are the points thats (very obvious from looking at the residual plot) does not fit well.\n", + "\n", + "To do this we first check what is the predicted result when plot on the Fuel Consumption (Combined) vs CO2 Emissions is." + ], + "metadata": { + "id": "96bfR62C5w_b" + }, + "id": "96bfR62C5w_b" + }, + { + "cell_type": "code", + "source": [ + "ploting_data_from = X_train_sm\n", + "ploting_true_from = y_train_sm\n", + "\n", + "plt.figure(figsize=(7, 5))\n", + "plt.scatter(ploting_data_from[\"Fuel Consumption Comb (L/100 km)\"], ploting_true_from, alpha=0.6, label=\"True value\")\n", + "x_axis = ploting_data_from[\"Fuel Consumption Comb (L/100 km)\"]\n", + "\n", + "line_data = pd.concat([x_axis, fitted],axis=1).sort_values(0)\n", + "\n", + "plt.scatter(line_data[\"Fuel Consumption Comb (L/100 km)\"], line_data[0], alpha=0.3, label=\"Predicted values\")\n", + "plt.legend()\n", + "plt.title(\"Fuel Consumption (Combined) vs CO2 Emissions\")\n", + "plt.xlabel(\"Fuel Consumption Comb (L/100 km)\")\n", + "plt.ylabel(\"CO2 Emissions(g/km)\")\n", + "plt.show()" + ], + "metadata": { + "id": "ondCC8WroLQI", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 496 + }, + "outputId": "5970bb5a-d3a1-4103-ad46-0e17c957cad0" + }, + "id": "ondCC8WroLQI", + "execution_count": 28, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "From the above plot, we can immediately see that there all prediction line are all parallel to each other and that most of the model error come from one section of the dataset.\n", + "\n", + "To further investigate error we can plot another Fuel Consumption (Combined) vs CO2 Emissions but with the fuel type info. Reason for adding fuel type info to the plot is that the model weight for each of the fuel type does act like a constant terms. And, in linear equation, lines create parllel lines when they have coeffcient constants and their constant term varies.\n", + "\n", + "We will also plot the Residuals vs Fitted plot with the fuel type info as that will allow us to zoom in to the error more closely." + ], + "metadata": { + "id": "GsKi-4TsoO8H" + }, + "id": "GsKi-4TsoO8H" + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(7, 5))\n", + "total_data = []\n", + "for f_type in df[\"Fuel Type\"].unique():\n", + " total_data.append({\"x\":df[\"Fuel Consumption Comb (L/100 km)\"].where(df[\"Fuel Type\"] == f_type).dropna(),\n", + " 'y': df[\"CO2 Emissions(g/km)\"].where(df[\"Fuel Type\"] == f_type).dropna(),\n", + " 'type': f_type\n", + " })\n", + "\n", + "for points in total_data:\n", + " plt.scatter(points['x'], points['y'], alpha=0.6, label=points['type'])\n", + "plt.title(\"Fuel Consumption (Combined) vs CO2 Emissions with fuel type\")\n", + "leg = plt.legend()\n", + "leg.set_title(\"Fuel Type\")\n", + "plt.xlabel(\"Fuel Consumption Comb (L/100 km)\")\n", + "plt.ylabel(\"CO2 Emissions(g/km)\")\n", + "plt.show()\n", + "\n", + "\n", + "total_data = []\n", + "for f_type in df[\"Fuel Type\"].unique():\n", + " original_residuals = set(residuals.index)\n", + " modified = set(df[\"Fuel Consumption Comb (L/100 km)\"].where(df[\"Fuel Type\"] == f_type).dropna().index)\n", + "\n", + " filtered_residuals = original_residuals & modified\n", + " fuel_typed_residuals = residuals.loc[list(filtered_residuals)]\n", + "\n", + " original_fitted = set(fitted.index)\n", + " filtered_fitted = original_fitted & modified\n", + " fuel_typed_fitted = fitted.loc[list(filtered_fitted)]\n", + " total_data.append({\"x\": fuel_typed_fitted,\n", + " 'y': fuel_typed_residuals,\n", + " 'type': f_type\n", + " })\n", + "plt.figure(figsize=(7, 5))\n", + "for points in total_data:\n", + " plt.scatter(points['x'], points['y'], alpha=0.6, label=points['type'])\n", + "\n", + "leg = plt.legend()\n", + "leg.set_title(\"Fuel Type\")\n", + "plt.axhline(0, color=\"red\", linestyle=\"--\")\n", + "plt.xlabel(\"Fitted values\")\n", + "plt.ylabel(\"Residuals\")\n", + "plt.title(\"Residuals vs Fitted with fuel type\")\n", + "plt.show()" + ], + "metadata": { + "id": "eaeP6Lr5oUYF", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 975 + }, + "outputId": "335c4343-2844-4aa9-a295-884284361dc0" + }, + "id": "eaeP6Lr5oUYF", + "execution_count": 29, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "From the above first plot, we can find out that for different fuel type there is a different CO2 Emissisions that is created with the same amount of fuel spent. And that most of the error seem to come from the fuel type E as that fuel type have more variance compare to others fuel type.\n", + "\n", + "From the second plot, we can observe that to remove the very non fitted points we can just remove the fuel type E. We can also see that for fuel type, other than type X and type Z, the model seem to be failing to predict often. This could be explain by seeing that the model basicly have only one main controlling coeffcient and the other fuel type (type D, type N, type E) have a different rate of change that dictate what the line for that type look like." + ], + "metadata": { + "id": "kX6QFbf7obbn" + }, + "id": "kX6QFbf7obbn" + }, + { + "cell_type": "markdown", + "source": [ + "Now to test for *heteroscedasticity* we now need to first remove the very non fitted values, create a new model with the remaining values and test the new model" + ], + "metadata": { + "id": "d-gXMvqjofbx" + }, + "id": "d-gXMvqjofbx" + }, + { + "cell_type": "code", + "source": [ + "filter_df = df.where(df[\"Fuel Type\"] != 'E').dropna()\n", + "result_filted = y_train.loc[list(set(y_train.index) & set(filter_df.index))]\n", + "\n", + "X_new_train = X_train.loc[list(set(X_train.index) & set(filter_df.index))]\n", + "new_main_train = X_new_train[main_spec[\"num\"] + main_spec[\"cat\"]].copy()\n", + "new_main_test_dm = pd.get_dummies(new_main_train, drop_first=True, dtype=float)\n", + "\n", + "new_main_test_dm = new_main_test_dm.reindex(columns=new_main_test_dm.columns, fill_value=0)\n", + "\n", + "X_new_train_sm = sm.add_constant(new_main_test_dm, has_constant=\"add\").astype(float)\n", + "\n", + "y_new_train_sm = result_filted.astype(float)\n", + "\n", + "new_ols = sm.OLS(y_new_train_sm, X_new_train_sm).fit()\n", + "print(new_ols.summary())\n" + ], + "metadata": { + "id": "M6T6CbBb4n8-", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "cb76ec90-ee91-47c2-c9b2-0608edeb5714" + }, + "id": "M6T6CbBb4n8-", + "execution_count": 30, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " OLS Regression Results \n", + "===============================================================================\n", + "Dep. Variable: CO2 Emissions(g/km) R-squared: 0.998\n", + "Model: OLS Adj. R-squared: 0.998\n", + "Method: Least Squares F-statistic: 4.664e+05\n", + "Date: Fri, 03 Apr 2026 Prob (F-statistic): 0.00\n", + "Time: 15:06:12 Log-Likelihood: -39669.\n", + "No. Observations: 17194 AIC: 7.938e+04\n", + "Df Residuals: 17171 BIC: 7.956e+04\n", + "Df Model: 22 \n", + "Covariance Type: nonrobust \n", + "==========================================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "----------------------------------------------------------------------------------------------------------\n", + "const 31.3612 0.178 176.462 0.000 31.013 31.710\n", + "Engine Size(L) -0.3426 0.040 -8.622 0.000 -0.421 -0.265\n", + "Cylinders -0.0845 0.029 -2.945 0.003 -0.141 -0.028\n", + "Fuel Consumption Comb (L/100 km) 23.3582 0.015 1528.956 0.000 23.328 23.388\n", + "Vehicle Class_FULL-SIZE 1.0746 0.090 11.912 0.000 0.898 1.251\n", + "Vehicle Class_MID-SIZE 0.5371 0.071 7.596 0.000 0.399 0.676\n", + "Vehicle Class_MINICOMPACT 0.3191 0.102 3.141 0.002 0.120 0.518\n", + "Vehicle Class_MINIVAN -0.1486 0.158 -0.941 0.346 -0.458 0.161\n", + "Vehicle Class_PICKUP TRUCK - SMALL 0.5777 0.140 4.121 0.000 0.303 0.852\n", + "Vehicle Class_PICKUP TRUCK - STANDARD 0.2759 0.096 2.877 0.004 0.088 0.464\n", + "Vehicle Class_SPECIAL PURPOSE VEHICLE 1.8006 0.273 6.585 0.000 1.265 2.337\n", + "Vehicle Class_STATION WAGON - MID-SIZE -0.4239 0.147 -2.886 0.004 -0.712 -0.136\n", + "Vehicle Class_STATION WAGON - SMALL -0.1164 0.104 -1.114 0.265 -0.321 0.088\n", + "Vehicle Class_SUBCOMPACT 0.2469 0.079 3.133 0.002 0.092 0.401\n", + "Vehicle Class_SUV -1.2502 0.081 -15.376 0.000 -1.410 -1.091\n", + "Vehicle Class_SUV - SMALL 2.0532 0.085 24.122 0.000 1.886 2.220\n", + "Vehicle Class_SUV - STANDARD 2.5956 0.106 24.553 0.000 2.388 2.803\n", + "Vehicle Class_TWO-SEATER 0.3235 0.095 3.422 0.001 0.138 0.509\n", + "Vehicle Class_VAN - CARGO -1.6000 0.192 -8.335 0.000 -1.976 -1.224\n", + "Vehicle Class_VAN - PASSENGER -1.2847 0.209 -6.157 0.000 -1.694 -0.876\n", + "Fuel Type_N -102.8842 0.481 -214.068 0.000 -103.826 -101.942\n", + "Fuel Type_X -32.4901 0.159 -204.833 0.000 -32.801 -32.179\n", + "Fuel Type_Z -32.3936 0.164 -198.017 0.000 -32.714 -32.073\n", + "==============================================================================\n", + "Omnibus: 4824.954 Durbin-Watson: 0.674\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 75212.617\n", + "Skew: 0.928 Prob(JB): 0.00\n", + "Kurtosis: 13.077 Cond. No. 348.\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "new_fitted = new_ols.fittedvalues\n", + "new_residuals = new_ols.resid\n", + "\n", + "# filter_fitted = fitted.loc[list(set(fitted.index) & set(filter_df.index))]\n", + "# filter_residuals = residuals.loc[list(set(residuals.index) & set(filter_df.index))]\n", + "plt.figure(figsize=(7, 5))\n", + "plt.scatter(new_fitted, new_residuals, alpha=0.6)\n", + "plt.axhline(0, color=\"red\", linestyle=\"--\")\n", + "plt.xlabel(\"Fitted values\")\n", + "plt.ylabel(\"Residuals\")\n", + "plt.title(\"Residuals vs Fitted after refit model with fuel type E remove\")\n", + "plt.show()" + ], + "metadata": { + "id": "mq8KMlmwobAU", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 496 + }, + "outputId": "8233feb2-a62a-4a0f-82de-295ce9f2f55a" + }, + "id": "mq8KMlmwobAU", + "execution_count": 31, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# residuals_set = set(residuals.index)\n", + "# filter_residuals = residuals.loc[list(residuals_set & set(filter_df.index))]\n", + "# tmp_data = X_train_sm.copy()\n", + "# new_train_set = set(tmp_data.index)\n", + "\n", + "# filter_train = tmp_data.loc[list(set(new_train_set) & set(filter_df.index))]\n", + "# bp_lm, bp_lm_pvalue, bp_f, bp_f_pvalue = het_breuschpagan(filter_residuals, filter_train)\n", + "bp_lm, bp_lm_pvalue, bp_f, bp_f_pvalue = het_breuschpagan(new_residuals, new_ols.model.exog)\n", + "\n", + "bp_summary = pd.DataFrame({\n", + " \"Statistic\": [\"Breusch-Pagan LM\"],\n", + " \"Value\": [bp_lm],\n", + " \"p-value\": [bp_lm_pvalue]\n", + "})\n", + "bp_summary" + ], + "metadata": { + "id": "qjWBlOqF5kdV", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 89 + }, + "outputId": "c0081c82-c35a-4592-92c7-3e59d2c4ebc2" + }, + "id": "qjWBlOqF5kdV", + "execution_count": 32, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Statistic Value p-value\n", + "0 Breusch-Pagan LM 2676.406256 0.0" + ], + "text/html": [ + "\n", + "
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\n" 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\n" + }, + "metadata": {} + } + ], + "source": [ + "plt.figure(figsize=(10, 5))\n", + "plt.hist(residuals, bins=200)\n", + "plt.title(\"Distribution of Residuals\")\n", + "plt.xlabel(\"Residual\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(10, 5))\n", + "plt.hist(new_residuals, bins=200)\n", + "plt.title(\"Distribution of Residuals after refit model with fuel type E remove\")\n", + "plt.xlabel(\"Residual\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "source": [ + "From the above distribution, we can also see that the model does seem to be affect by other fuel type, as there is a small shift away the ideal mean of 0 (zero) in both graph. This may indicate that there is a problem with preprocessing step where we may not eliminate problematic outliers or there is a problem model itself." + ], + "metadata": { + "id": "kgjW7T3Nosso" + }, + "id": "kgjW7T3Nosso" + }, + { + "cell_type": "markdown", + "id": "R3urrTQ8X396", + "metadata": { + "id": "R3urrTQ8X396" + }, + "source": [ + "## 14. Influence diagnostics\n", + "\n", + "Use leverage and **Cook's Distance** to identify observations that may strongly affect the fitted model.\n" + ] + }, + { + "cell_type": "markdown", + "source": [ + "### 14.1 Refit after removing influential points\n", + "Observations with Cook's Distance > 4/n are treated as a sensitivity analysis rather than points to remove automatically.\n", + "\n", + "After refitting without the flagged observations, the broad substantive conclusion remains unchanged: fuel consumption is still the dominant predictor, and Model 4 remains useful as an explanatory model. This supports the practical stability of the model, even though some individual coefficients are sensitive to influential cases." + ], + "metadata": { + "id": "6ambf2u04buh" + }, + "id": "6ambf2u04buh" + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "oiKMNJ3cX397", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:16.130838Z", + "iopub.status.busy": "2026-03-24T12:15:16.130354Z", + "iopub.status.idle": "2026-03-24T12:15:16.151316Z", + "shell.execute_reply": "2026-03-24T12:15:16.150637Z" + }, + "id": "oiKMNJ3cX397", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 398 + }, + "outputId": "0d8345e6-32ec-4a3b-b559-d671863a5a73" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Cook's Distance threshold (4/n): 0.000222\n", + "Number of observations above threshold: 1006 out of 18044\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Fitted Residual Leverage Cooks_Distance Flag_4_over_n\n", + "3038 132.980105 30.019895 0.034666 0.056763 True\n", + "14715 475.150653 -57.150653 0.006318 0.035388 True\n", + "1445 169.464774 23.535226 0.034867 0.035106 True\n", + "14711 470.604250 -56.604250 0.006241 0.034284 True\n", + "14506 470.604250 -56.604250 0.006241 0.034284 True\n", + "21016 179.045009 28.954991 0.011361 0.016500 True\n", + "20049 179.045009 28.954991 0.011361 0.016500 True\n", + "21012 181.318210 27.681790 0.011352 0.015069 True\n", + "19006 181.318210 27.681790 0.011352 0.015069 True\n", + "20044 181.318210 27.681790 0.011352 0.015069 True" + ], + "text/html": [ + "\n", + "
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FittedResidualLeverageCooks_DistanceFlag_4_over_n
3038132.98010530.0198950.0346660.056763True
14715475.150653-57.1506530.0063180.035388True
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\n" + }, + "metadata": {} + } + ], + "source": [ + "plt.figure(figsize=(8, 5))\n", + "markerline, stemlines, baseline = plt.stem(np.arange(len(cooks_d)), cooks_d)\n", + "plt.setp(markerline, markersize=3)\n", + "plt.title(\"Cook's Distance\")\n", + "plt.xlabel(\"Observation index\")\n", + "plt.ylabel(\"Cook's distance\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "source": [ + "The Cook gap plot shows that most observations have values ​​very close to zero, indicating that the majority of data points have minimal influence on the adjusted model. However, a few observations have significantly higher Cook gap values, suggesting the possibility of influencing points.\n", + "\n", + "Despite the presence of these points, only one peak dominates the plot, and this peak is only slightly more than 0.05, which is not very large. This suggests that influencing observations exist but are not very strong, and no observations significantly skew the model." + ], + "metadata": { + "id": "j_RUKKpeGWb9" + }, + "id": "j_RUKKpeGWb9" + }, + { + "cell_type": "markdown", + "id": "8a0b13c0", + "metadata": { + "id": "8a0b13c0" + }, + "source": [ + "### 14.2 Cook's Distance: Influence Diagnostics\n", + "\n", + "Cook's Distance is used to identify **influential observations** that may have a large impact on the fitted regression model.\n", + "\n", + "A common rule of thumb is to flag observations with **Cook's Distance > 4/n**. In this notebook, observations above that threshold were examined and the model was refitted as a sensitivity check.\n", + "\n", + "Based on Cook's Distance, no single observation appears to overturn the main regression story of Model 3. The refit shows that the dominant role of fuel consumption remains clear, so the overall model is reasonably stable. However, some individual coefficients do change, so detailed interpretation of smaller category effects should still be made cautiously.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "d89Q_aOcX398", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:16.838939Z", + "iopub.status.busy": "2026-03-24T12:15:16.838607Z", + "iopub.status.idle": "2026-03-24T12:15:17.056871Z", + "shell.execute_reply": "2026-03-24T12:15:17.056270Z" + }, + "id": "d89Q_aOcX398", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 496 + }, + "outputId": "99479bcb-9fd7-4d43-ae20-4b0e4352f348" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {} + } + ], + "source": [ + "std_resid = ols_main.get_influence().resid_studentized_internal\n", + "\n", + "plt.figure(figsize=(7, 5))\n", + "plt.scatter(leverage, std_resid, alpha=0.6, s=np.clip(cooks_d * 4000, 10, 200))\n", + "plt.axhline(0, color=\"red\", linestyle=\"--\")\n", + "plt.xlabel(\"Leverage\")\n", + "plt.ylabel(\"Standardized residuals\")\n", + "plt.title(\"Leverage vs Standardized Residuals\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "source": [ + "The leverage vs standardized residuals plot provides a more detailed view of influential points:\n", + "\n", + "Most observations are concentrated at low leverage values with residuals around zero, indicating a good overall model fit.\n", + "\n", + "Some observations have large residuals but low leverage, meaning they are outliers in the response variable but do not significantly influence the model.\n", + "\n", + "A small cluster of points shows high leverage combined with moderate residuals, which are the most influential observations.\n", + "\n", + "Larger marker sizes (Cook’s Distance) confirm that these points have greater influence compared to others." + ], + "metadata": { + "id": "KLqWeoVUNWN9" + }, + "id": "KLqWeoVUNWN9" + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "61dd52ba", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:17.059369Z", + "iopub.status.busy": "2026-03-24T12:15:17.059136Z", + "iopub.status.idle": "2026-03-24T12:15:17.087870Z", + "shell.execute_reply": "2026-03-24T12:15:17.087171Z" + }, + "id": "61dd52ba", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 520 + }, + "outputId": "bc654a21-b172-474c-e43b-ac57beb484db" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Original \\\n", + "Vehicle Class_VAN - PASSENGER -7.204792 \n", + "Fuel Type_N -97.370261 \n", + "Fuel Type_E -145.825346 \n", + "Vehicle Class_SPECIAL PURPOSE VEHICLE 5.812460 \n", + "Vehicle Class_VAN - CARGO -4.222630 \n", + "Fuel Type_Z -31.045061 \n", + "Fuel Type_X -31.365506 \n", + "Vehicle Class_PICKUP TRUCK - SMALL 1.807628 \n", + "const 34.413439 \n", + "Vehicle Class_MINIVAN 1.185812 \n", + "Vehicle Class_FULL-SIZE 2.145988 \n", + "Vehicle Class_SUV - STANDARD 3.253989 \n", + "Vehicle Class_SUV -0.707417 \n", + "Fuel Consumption Comb (L/100 km) 22.732013 \n", + "Vehicle Class_SUV - SMALL 2.600042 \n", + "\n", + " Refit_without_flagged_points \\\n", + "Vehicle Class_VAN - PASSENGER -2.859036e-14 \n", + "Fuel Type_N -1.044473e+02 \n", + "Fuel Type_E -1.506631e+02 \n", + "Vehicle Class_SPECIAL PURPOSE VEHICLE 3.142310e+00 \n", + "Vehicle Class_VAN - CARGO -1.618737e+00 \n", + "Fuel Type_Z -3.321187e+01 \n", + "Fuel Type_X -3.329480e+01 \n", + "Vehicle Class_PICKUP TRUCK - SMALL -3.966784e-02 \n", + "const 3.271356e+01 \n", + "Vehicle Class_MINIVAN -1.405397e-01 \n", + "Vehicle Class_FULL-SIZE 9.993891e-01 \n", + "Vehicle Class_SUV - STANDARD 2.574572e+00 \n", + "Vehicle Class_SUV -1.382303e+00 \n", + "Fuel Consumption Comb (L/100 km) 2.330740e+01 \n", + "Vehicle Class_SUV - SMALL 2.027511e+00 \n", + "\n", + " Absolute_change Percent_change \n", + "Vehicle Class_VAN - PASSENGER 7.204792 100.000000 \n", + "Fuel Type_N 7.077054 7.268188 \n", + "Fuel Type_E 4.837796 3.317527 \n", + "Vehicle Class_SPECIAL PURPOSE VEHICLE 2.670150 45.938381 \n", + "Vehicle Class_VAN - CARGO 2.603893 61.665203 \n", + "Fuel Type_Z 2.166813 6.979575 \n", + "Fuel Type_X 1.929299 6.151021 \n", + "Vehicle Class_PICKUP TRUCK - SMALL 1.847296 102.194469 \n", + "const 1.699881 4.939586 \n", + "Vehicle Class_MINIVAN 1.326352 111.851771 \n", + "Vehicle Class_FULL-SIZE 1.146599 53.429893 \n", + "Vehicle Class_SUV - STANDARD 0.679418 20.879535 \n", + "Vehicle Class_SUV 0.674886 95.401445 \n", + "Fuel Consumption Comb (L/100 km) 0.575383 2.531156 \n", + "Vehicle Class_SUV - SMALL 0.572531 22.020062 " + ], + "text/html": [ + "\n", + "
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OriginalRefit_without_flagged_pointsAbsolute_changePercent_change
Vehicle Class_VAN - PASSENGER-7.204792-2.859036e-147.204792100.000000
Fuel Type_N-97.370261-1.044473e+027.0770547.268188
Fuel Type_E-145.825346-1.506631e+024.8377963.317527
Vehicle Class_SPECIAL PURPOSE VEHICLE5.8124603.142310e+002.67015045.938381
Vehicle Class_VAN - CARGO-4.222630-1.618737e+002.60389361.665203
Fuel Type_Z-31.045061-3.321187e+012.1668136.979575
Fuel Type_X-31.365506-3.329480e+011.9292996.151021
Vehicle Class_PICKUP TRUCK - SMALL1.807628-3.966784e-021.847296102.194469
const34.4134393.271356e+011.6998814.939586
Vehicle Class_MINIVAN1.185812-1.405397e-011.326352111.851771
Vehicle Class_FULL-SIZE2.1459889.993891e-011.14659953.429893
Vehicle Class_SUV - STANDARD3.2539892.574572e+000.67941820.879535
Vehicle Class_SUV-0.707417-1.382303e+000.67488695.401445
Fuel Consumption Comb (L/100 km)22.7320132.330740e+010.5753832.531156
Vehicle Class_SUV - SMALL2.6000422.027511e+000.57253122.020062
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"coef_comparison\",\n \"rows\": 15,\n \"fields\": [\n {\n \"column\": \"Original\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 46.72338490513553,\n \"min\": -145.82534593472724,\n \"max\": 34.41343949191667,\n \"num_unique_values\": 15,\n \"samples\": [\n 1.1858121904877148,\n 3.253989439013024,\n -7.204791549150318\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Refit_without_flagged_points\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 48.51504881963071,\n \"min\": -150.6631418638187,\n \"max\": 32.71355820764813,\n \"num_unique_values\": 15,\n \"samples\": [\n -0.14053974652287826,\n 2.574571567012013,\n -2.859035823606086e-14\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Absolute_change\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.193343366522808,\n \"min\": 0.5725308530027649,\n \"max\": 7.20479154915029,\n \"num_unique_values\": 15,\n \"samples\": [\n 1.326351937010593,\n 0.6794178720010109,\n 7.20479154915029\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Percent_change\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 41.59999276704991,\n \"min\": 2.531155965495339,\n \"max\": 111.85177110256181,\n \"num_unique_values\": 15,\n \"samples\": [\n 111.85177110256181,\n 20.879535251567592,\n 99.9999999999996\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 37 + } + ], + "source": [ + "influential_mask = cooks_d > cook_threshold\n", + "\n", + "main_train_dm_refit = main_train_dm.loc[~influential_mask].copy()\n", + "y_train_refit = y_train.loc[main_train_dm_refit.index].copy()\n", + "\n", + "X_refit_sm = sm.add_constant(main_train_dm_refit, has_constant=\"add\").astype(float)\n", + "ols_refit = sm.OLS(y_train_refit, X_refit_sm).fit()\n", + "\n", + "coef_comparison = pd.DataFrame({\n", + " \"Original\": ols_main.params,\n", + " \"Refit_without_flagged_points\": ols_refit.params\n", + "})\n", + "coef_comparison[\"Absolute_change\"] = (coef_comparison[\"Refit_without_flagged_points\"] - coef_comparison[\"Original\"]).abs()\n", + "coef_comparison[\"Percent_change\"] = (\n", + " coef_comparison[\"Absolute_change\"] /\n", + " coef_comparison[\"Original\"].replace(0, np.nan).abs()\n", + ") * 100\n", + "\n", + "coef_comparison.sort_values(\"Absolute_change\", ascending=False).head(15)\n" + ] + }, + { + "cell_type": "markdown", + "source": [ + "The comparison shows that Fuel Consumption Comb (L/100 km) remains highly stable, with only a small percentage change (~2.5%), confirming it as a robust and dominant predictor.\n", + "\n", + "Fuel type variables also exhibit relatively small changes (around 3–7%), indicating moderate stability.\n", + "\n", + "In contrast, several vehicle class variables show large percentage changes (up to 100%+), suggesting that these coefficients are sensitive to influential observations and should be interpreted with caution." + ], + "metadata": { + "id": "vgkLfBwGOcvX" + }, + "id": "vgkLfBwGOcvX" + }, + { + "cell_type": "markdown", + "id": "8JCysgyJX398", + "metadata": { + "id": "8JCysgyJX398" + }, + "source": [ + "## 15. Multicollinearity check with VIF\n", + "\n", + "VIF is used to assess overlap among predictors. High VIF values for engine-related variables indicate substantial multicollinearity.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "BzZPUVpnX399", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:17.091431Z", + "iopub.status.busy": "2026-03-24T12:15:17.091017Z", + "iopub.status.idle": "2026-03-24T12:15:17.200155Z", + "shell.execute_reply": "2026-03-24T12:15:17.199240Z" + }, + "id": "BzZPUVpnX399", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 771 + }, + "outputId": "22564162-7182-498d-f58c-6c87b8da6230" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Feature VIF\n", + "1 Cylinders 87.280904\n", + "2 Fuel Consumption Comb (L/100 km) 81.536788\n", + "0 Engine Size(L) 56.699953\n", + "22 Fuel Type_Z 13.521239\n", + "21 Fuel Type_X 12.671493\n", + "19 Fuel Type_E 3.628232\n", + "8 Vehicle Class_PICKUP TRUCK - STANDARD 2.569466\n", + "13 Vehicle Class_SUV 2.258191\n", + "4 Vehicle Class_MID-SIZE 1.940840\n", + "14 Vehicle Class_SUV - SMALL 1.648374\n", + "12 Vehicle Class_SUBCOMPACT 1.635933\n", + "3 Vehicle Class_FULL-SIZE 1.612978\n", + "15 Vehicle Class_SUV - STANDARD 1.580257\n", + "16 Vehicle Class_TWO-SEATER 1.518707\n", + "5 Vehicle Class_MINICOMPACT 1.346605\n", + "18 Vehicle Class_VAN - PASSENGER 1.342090\n", + "17 Vehicle Class_VAN - CARGO 1.320744\n", + "7 Vehicle Class_PICKUP TRUCK - SMALL 1.301266\n", + "11 Vehicle Class_STATION WAGON - SMALL 1.264533\n", + "6 Vehicle Class_MINIVAN 1.186476\n", + "10 Vehicle Class_STATION WAGON - MID-SIZE 1.123880\n", + "20 Fuel Type_N 1.088033\n", + "9 Vehicle Class_SPECIAL PURPOSE VEHICLE 1.056131" + ], + "text/html": [ + "\n", + "
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FeatureVIF
1Cylinders87.280904
2Fuel Consumption Comb (L/100 km)81.536788
0Engine Size(L)56.699953
22Fuel Type_Z13.521239
21Fuel Type_X12.671493
19Fuel Type_E3.628232
8Vehicle Class_PICKUP TRUCK - STANDARD2.569466
13Vehicle Class_SUV2.258191
4Vehicle Class_MID-SIZE1.940840
14Vehicle Class_SUV - SMALL1.648374
12Vehicle Class_SUBCOMPACT1.635933
3Vehicle Class_FULL-SIZE1.612978
15Vehicle Class_SUV - STANDARD1.580257
16Vehicle Class_TWO-SEATER1.518707
5Vehicle Class_MINICOMPACT1.346605
18Vehicle Class_VAN - PASSENGER1.342090
17Vehicle Class_VAN - CARGO1.320744
7Vehicle Class_PICKUP TRUCK - SMALL1.301266
11Vehicle Class_STATION WAGON - SMALL1.264533
6Vehicle Class_MINIVAN1.186476
10Vehicle Class_STATION WAGON - MID-SIZE1.123880
20Fuel Type_N1.088033
9Vehicle Class_SPECIAL PURPOSE VEHICLE1.056131
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "vif_df", + "summary": "{\n \"name\": \"vif_df\",\n \"rows\": 23,\n \"fields\": [\n {\n \"column\": \"Feature\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 23,\n \"samples\": [\n \"Vehicle Class_VAN - PASSENGER\",\n \"Vehicle Class_SUV - SMALL\",\n \"Cylinders\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"VIF\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 25.622425956827563,\n \"min\": 1.0561309119956532,\n \"max\": 87.2809042501887,\n \"num_unique_values\": 23,\n \"samples\": [\n 1.342090041776445,\n 1.6483738023037078,\n 87.2809042501887\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 38 + } + ], + "source": [ + "vif_input = main_train_dm.copy()\n", + "\n", + "vif_df = pd.DataFrame({\n", + " \"Feature\": vif_input.columns,\n", + " \"VIF\": [variance_inflation_factor(vif_input.values, i) for i in range(vif_input.shape[1])]\n", + "}).sort_values(by=\"VIF\", ascending=False)\n", + "\n", + "vif_df" + ] + }, + { + "cell_type": "markdown", + "id": "36386f48", + "metadata": { + "id": "36386f48" + }, + "source": [ + "**Multicollinearity Assessment**\n", + "\n", + "Variance Inflation Factor (VIF) was used to evaluate multicollinearity among predictors.\n", + "\n", + "High VIF values indicate that a predictor shares substantial information with other predictors. In this dataset, **engine size, cylinders, fuel consumption and several fuel types** show relatively high VIF values.\n", + "\n", + "This is expected because these variables are mechanically related in vehicle design. While multicollinearity does not necessarily reduce predictive performance, it can make individual coefficients less stable and harder to interpret independently.\n", + "\n", + "Therefore, coefficient interpretations should be made cautiously, especially for the engine-related variables or fuel consumption and fuel types.\n" + ] + }, + { + "cell_type": "markdown", + "id": "ntQtnpw3X399", + "metadata": { + "id": "ntQtnpw3X399" + }, + "source": [ + "## 16. Diagnostic summary\n", + "\n", + "Overall, the regression model performs reasonably well.\n", + "\n", + "Residual plots suggest that the linearity assumption is broadly acceptable, and although the **Breusch-Pagan test** indicates heteroscedasticity, the **Residuals vs Fitted** plot shows that the spread of errors is still fairly concentrated rather than severely funnel-shaped. This means the OLS fit remains practically useful (for specific fuel types).\n", + "\n", + "Influence diagnostics show that no single observation dominates the entire regression story, although some coefficients are sensitive to influential observations. Multicollinearity is substantial among engine-related predictors, so individual coefficients should be interpreted carefully. Despite these limitations, the model remains useful for both prediction and interpretation.\n" + ] + }, + { + "cell_type": "markdown", + "id": "27a55523", + "metadata": { + "id": "27a55523" + }, + "source": [ + "## 17. Key Insights\n", + "\n", + "### Key Insights from the Analysis\n", + "\n", + "Several important insights emerge from the regression analysis.\n", + "\n", + "- **Fuel consumption is the dominant driver of CO2 emissions.** Vehicles with higher fuel consumption per 100 km consistently produce higher emissions. This confirms the direct relationship between fuel burned and carbon output.\n", + "- **Vehicle class contributes to systematic emission differences.** Larger vehicle categories such as SUVs and pickup trucks tend to emit more CO2 than smaller compact vehicles. This reflects differences in vehicle weight, engine size, and design purpose.\n", + "- **Fuel type also affects emission levels.** Different fuel types exhibit different emission patterns, suggesting that engine technology and fuel efficiency vary across fuel categories.\n", + "- **Engine size alone is not a strong independent predictor once fuel consumption is included.** This indicates that fuel consumption already captures much of the variation associated with engine characteristics.\n", + "\n", + "From a Weisberg-style regression perspective, the assumptions of constant variance and perfect normality are not satisfied perfectly. However, the model still remains a strong and useful linear explanatory tool because the main coefficient pattern is stable, the residual structure is not severely distorted visually, and the influence analysis does not suggest that the overall conclusion is driven by a single extreme case.\n" + ] + }, + { + "cell_type": "markdown", + "id": "M-MT1yAwX399", + "metadata": { + "id": "M-MT1yAwX399" + }, + "source": [ + "## 18. Final conclusion\n", + "\n", + "Main conclusions:\n", + "\n", + "- **Fuel consumption** is the strongest predictor of CO2 emissions.\n", + "- **Vehicle class** and **fuel type** also explain meaningful differences in expected emissions.\n", + "- **Model 3** is the preferred explanatory model, while **Model 5** is the best model for pure prediction.\n", + "- The selected model still shows strong test performance, with **RMSE about 6.62 g/km** and **R2 about 0.988**.\n", + "- Diagnostics suggest the presence of heteroscedasticity, multicollinearity, and some sensitivity to influential observations. However, the overall OLS fit remains practically useful, and the main explanatory conclusions of Model 3 remain stable.\n" + ] + }, + { + "cell_type": "markdown", + "id": "d26faf22", + "metadata": { + "id": "d26faf22" + }, + "source": [ + "## 19. Submission note\n", + "\n", + "For submission:\n", + "- **Final explanatory model**: Model 3\n" + ] + }, + { + "cell_type": "markdown", + "id": "0082c50e", + "metadata": { + "id": "0082c50e" + }, + "source": [ + "## 20. Simple prediction helper\n", + "\n", + "The function below gives a quick prediction for a new vehicle.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "3bbd8401", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-24T12:15:17.204628Z", + "iopub.status.busy": "2026-03-24T12:15:17.204175Z", + "iopub.status.idle": "2026-03-24T12:15:17.218199Z", + "shell.execute_reply": "2026-03-24T12:15:17.217537Z" + }, + "id": "3bbd8401", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "81545673-b755-4e9b-f12a-008c550a7090" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Example predicted CO2 emission (g/km): 174.03\n" + ] + } + ], + "source": [ + "def predict_co2_emission(engine_size, cylinders, fuel_consumption_comb, vehicle_class, fuel_type):\n", + " new_vehicle = pd.DataFrame({\n", + " \"Engine Size(L)\": [engine_size],\n", + " \"Cylinders\": [cylinders],\n", + " \"Fuel Consumption Comb (L/100 km)\": [fuel_consumption_comb],\n", + " \"Vehicle Class\": [vehicle_class],\n", + " \"Fuel Type\": [fuel_type]\n", + " })\n", + " return float(main_pipeline.predict(new_vehicle)[0])\n", + "\n", + "example_prediction = predict_co2_emission(\n", + " engine_size=2.0,\n", + " cylinders=4,\n", + " fuel_consumption_comb=7.5,\n", + " vehicle_class=\"COMPACT\",\n", + " fuel_type=\"X\"\n", + ")\n", + "\n", + "print(\"Example predicted CO2 emission (g/km):\", round(example_prediction, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "R6DrA1hJCdjr", + "metadata": { + "id": "R6DrA1hJCdjr", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "174e32cc-4646-4682-caf1-62fdec3cafd3" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Saved best_model.joblib\n" + ] + } + ], + "source": [ + "import joblib\n", + "\n", + "artifact = {\n", + " 'model_name': main_spec['name'],\n", + " 'model': main_pipeline,\n", + " 'features': main_spec['num'] + main_spec['cat'],\n", + " 'target': target,\n", + " 'train_rows': len(X_train),\n", + " 'test_rows': len(X_test),\n", + " 'y_test': y_test.reset_index(drop=True),\n", + " 'holdout_prediction': pd.Series(main_pred_test)\n", + "}\n", + "\n", + "joblib.dump(artifact, 'best_model.joblib', compress=3)\n", + "print('Saved best_model.joblib')" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "min_ds-env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file