valiantProgrammer/Algerian-Forest-Fires-Prediction

Predicts Fire Weather Index using machine learning on Algerian Forest Fires dataset. Six regression models tested: Linear, Ridge, Ridge CV, Lasso, Lasso CV, Elastic Net. Best Model: Ridge CV with R² 0.984, MAE 0.564, RMSE 0.834. Features: Flask web app, 7-tab interactive dashboard, real-time FWI predictions # 🔥 Forest Fire Prediction - Machine Learning Regression Analysis ## 📋 Table of Contents - Overview - Dataset - Models & Results - Mathematical Framework - Technical Stack - Installation & Setup - Usage - Project Structure - Features - Visualizations - Results & Performance - Key Insights - Future Improvements - References --- ## 📖 Overview This project implements a comprehensive end-to-end machine learning solution for predicting the **Fire Weather Index (FWI)** using advanced regression models. The system analyzes meteorological data and Fire Weather Index system components from the **Algerian Forest Fires dataset (2012)** to build predictive models for forest fire risk assessment. The project includes: - **6 Regression Models** trained and evaluated - **Interactive Flask Web Application** with real-time predictions - **Comprehensive ML Dashboard** with 7 feature-rich tabs - **Mathematical Framework** with detailed equations - **9 High-Quality Visualizations** (300 DPI) - **Responsive Light Theme** with modern design - **Production-Ready Code** with proper structure **Live Demo**: Access the dashboard at `localhost` after running the application. --- ## 📊 Dataset ### Source Information - **Dataset**: Algerian Forest Fires (2012) - **Regions**: Bejaia and Sidi-Bel Abbes (Algeria) - **Time Period**: June - September 2012 - **Total Instances**: 244 fire records - **Features**: 11 input variables ### Features Description | Feature | Type | Range | Unit | |---------|------|-------|------| | Temperature | Numeric | 22 - 42 | °C | | Relative Humidity | Numeric | 21 - 90 | % | | Wind Speed | Numeric | 6 - 29 | km/h | | Rainfall | Numeric | 0 - 16.8 | mm | | FFMC Index | Numeric | 28.6 - 92.5 | - | | DMC Index | Numeric | 1.1 - 65.9 | - | | ISI Index | Numeric | 0 - 18.5 | - | | Region | Categorical | 0, 1 | - | | Class | Categorical | 0, 1 | - | ### FWI System Components The **Fire Weather Index (FWI)** system consists of three moisture codes …