{ "cells": [ { "cell_type": "markdown", "id": "57cf4ac1", "metadata": {}, "source": [ "# Lesson 16 activity: feature engineering\n", "\n", "## Notebook set up\n", "\n", "Submit your notebook to the class leaderboard on HuggingFace at [huggingface.co/spaces/gperdrizet/leaderboard](https://huggingface.co/spaces/gperdrizet/leaderboard)\n", "\n", "**Your task**: Apply at least two different feature engineering techniques to the `housing_df` dataframe to improve the dataset. At the end of the notebook, your engineered dataset and the original dataset will be used to train a linear regression model to predict `MedHouseVal`. Your goal is to achieve better model performance via feature engineering.\n", "\n", "Don't change any of the code in the Model evaluation section of the notebook, especially the output saving. Otherwise the leaderboard scoring may not work!\n", "\n", "**Note**: If you have read ahead or you are familiar with the basics of training ML models, no there is no train-test split and yes, this means data leakage/genralizability is a concern. We will cover those topics in the next unit. For now, the goal is to keep things simple while still giving you an idea of how your feature engineering effects model performance.\n", "\n", "Before applying transformations, explore the dataset to understand what techniques would be most beneficial.\n", "\n", "### Import libraries" ] }, { "cell_type": "code", "execution_count": 1, "id": "6be57799", "metadata": {}, "outputs": [], "source": [ "from pathlib import Path\n", "\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from sklearn.linear_model import LinearRegression\n", "from sklearn.model_selection import cross_val_score\n", "\n", "# Set random seed for reproducibility\n", "np.random.seed(315)" ] }, { "cell_type": "markdown", "id": "f0f01df0", "metadata": {}, "source": [ "### Load dataset" ] }, { "cell_type": "code", "execution_count": 2, "id": "857336f2", "metadata": {}, "outputs": [], "source": [ "# Load California housing dataset\n", "original_housing_df = pd.read_csv('https://media.githubusercontent.com/media/gperdrizet/fullstack-2605/refs/heads/main/data/california_housing.csv')\n", "housing_df = original_housing_df.copy()" ] }, { "cell_type": "markdown", "id": "18b3f456", "metadata": {}, "source": [ "## Task 1: Explore the dataset\n", "\n", "Before deciding what feature engineering techniques to apply, explore the dataset to understand its characteristics.\n", "\n", "**Things to investigate**:\n", "- Display basic information about the dataset (`.info()`, `.describe()`)\n", "- Check for missing values\n", "- Examine feature distributions (histograms, box plots)\n", "- Look at feature scales and ranges\n", "\n", "Use this exploration to inform your feature engineering decisions in the following tasks." ] }, { "cell_type": "code", "execution_count": 3, "id": "fbda2f56", "metadata": {}, "outputs": [], "source": [ "# YOUR CODE HERE\n" ] }, { "cell_type": "markdown", "id": "da4399a5", "metadata": {}, "source": [ "## Task 2: Apply your first feature engineering technique\n", "\n", "Based on your exploration, apply your first feature engineering technique.\n", "\n", "**Example approaches**:\n", "- Transform skewed features using log, sqrt, power, or quantile transformations\n", "- Create bins/categories from continuous variables\n", "- Create interaction features (e.g., rooms per household = total rooms / households)" ] }, { "cell_type": "code", "execution_count": 4, "id": "5140a3a5", "metadata": {}, "outputs": [], "source": [ "# YOUR CODE HERE\n" ] }, { "cell_type": "markdown", "id": "1110a0a2", "metadata": {}, "source": [ "## Task 3: Apply your second feature engineering technique\n", "\n", "**Example approaches**:\n", "- Scale features to similar ranges\n", "- Encode any categorical variables you created\n", "- Create aggregate statistics by groups" ] }, { "cell_type": "code", "execution_count": 5, "id": "04645938", "metadata": {}, "outputs": [], "source": [ "# YOUR CODE HERE\n" ] }, { "cell_type": "markdown", "id": "ea90f141", "metadata": {}, "source": [ "## (Optional) Additional feature engineering\n", "\n", "Add more techniques if you'd like to experiment further." ] }, { "cell_type": "code", "execution_count": 6, "id": "abee0a0c", "metadata": {}, "outputs": [], "source": [ "# YOUR CODE HERE (optional)\n" ] }, { "cell_type": "markdown", "id": "11834ffc", "metadata": {}, "source": [ "## Model evaluation\n", "\n", "Now we'll compare model performance on the original dataset versus your engineered dataset.\n", "\n", "### Evaluate datasets" ] }, { "cell_type": "code", "execution_count": 7, "id": "ef3a836f", "metadata": {}, "outputs": [], "source": [ "# Create output directory if it doesn't exist\n", "output_directory = 'data/outputs'\n", "Path(output_directory).mkdir(parents=True, exist_ok=True)\n", "\n", "# Save a copy of the engineered dataframe\n", "housing_df.to_csv('data/outputs/housing_df.csv', index=False)" ] }, { "cell_type": "code", "execution_count": 8, "id": "691bfe0c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Mean improvement: 0.00%\n" ] } ], "source": [ "# Create linear regression model\n", "model = LinearRegression()\n", "\n", "# Evaluate on original dataset\n", "scores_original = cross_val_score(\n", " model,\n", " original_housing_df.drop('MedHouseVal', axis=1),\n", " original_housing_df['MedHouseVal'],\n", " cv=10,\n", " scoring='r2'\n", ")\n", "\n", "# Evaluate on engineered dataset\n", "scores_engineered = cross_val_score(\n", " model,\n", " housing_df.drop('MedHouseVal', axis=1),\n", " housing_df['MedHouseVal'],\n", " cv=10,\n", " scoring='r2'\n", ")\n", "\n", "engineered_mean = scores_engineered.mean()\n", "original_mean = scores_original.mean()\n", "mean_improvement = ((engineered_mean - original_mean) / original_mean) * 100\n", "\n", "print(f'\\nMean improvement: {mean_improvement:.2f}%')" ] }, { "cell_type": "markdown", "id": "e017b15b", "metadata": {}, "source": [ "### Visualize model performance comparison" ] }, { "cell_type": "code", "execution_count": 9, "id": "91ff7949", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "original_model = LinearRegression()\n", "original_model.fit(original_housing_df.drop('MedHouseVal', axis=1), original_housing_df['MedHouseVal'])\n", "original_predictions = original_model.predict(original_housing_df.drop('MedHouseVal', axis=1))\n", "\n", "model = LinearRegression()\n", "model.fit(housing_df.drop('MedHouseVal', axis=1), housing_df['MedHouseVal'])\n", "predictions = model.predict(housing_df.drop('MedHouseVal', axis=1))\n", "\n", "# Create boxplot comparing performance\n", "data_to_plot = [scores_original, scores_engineered]\n", "labels = ['Original', 'Engineered']\n", "\n", "fig, axs = plt.subplots(1, 2, figsize=(9,4.5))\n", "\n", "fig.suptitle(f'Model performance comparison\\nmean improvement: {mean_improvement:.2f}%')\n", "\n", "axs[0].set_title('Cross validation R² scores')\n", "axs[0].boxplot(data_to_plot, tick_labels=labels)\n", "axs[0].set_xlabel('Dataset')\n", "axs[0].set_ylabel('R² score')\n", "\n", "axs[1].set_title('Predictions vs true values')\n", "axs[1].plot(\n", " original_housing_df['MedHouseVal'], original_predictions,\n", " 'o', markersize=1, label='Original', alpha=0.25\n", ")\n", "\n", "axs[1].plot(\n", " housing_df['MedHouseVal'], predictions,\n", " 'o', markersize=1, label='Engineered', alpha=0.25\n", ")\n", "\n", "axs[1].set_xlabel('True Values')\n", "axs[1].set_ylabel('Predictions')\n", "\n", "leg = axs[1].legend(loc='upper left', markerscale=8, framealpha=1)\n", "\n", "for lh in leg.legend_handles: \n", " lh.set_alpha(1)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "e13bc24e", "metadata": {}, "source": [ "## 3. Reflection\n", "\n", "**Questions to consider**:\n", "\n", "1. Which feature engineering techniques had the biggest impact on model performance?\n", "2. Did adding more features always improve performance, or did some hurt it?\n", "3. How might you further improve the engineered dataset?\n", "4. What trade-offs did you consider (e.g., interpretability vs performance, complexity vs gains)?" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.12.12" } }, "nbformat": 4, "nbformat_minor": 5 }