udityamerit/Wildfire-Risk-Prediction-Using-Regression-ML-Model

This project performs end-to-end wildfire risk prediction using multiple regression models based on the Algerian Forest Fires dataset. It covers complete data preprocessing, feature engineering, model training, evaluation, and deployment. # 🔥 Wildfire Risk Prediction Using Regression ML Model This project performs end-to-end wildfire risk prediction using multiple regression models based on the **Algerian Forest Fires dataset**. It covers complete data preprocessing, feature engineering, model training, evaluation, and deployment. --- ## 📌 Project Overview Wildfires have become increasingly frequent and intense, affecting ecosystems and economies. In this project, we use real-world data from Algerian forests to build predictive models that estimate **Fire Weather Index (FWI)**, which indicates the potential for wildfire risk. We build multiple regression models and compare their performance using standard metrics. --- ## 📊 Dataset Information - **Source**: Algerian Forest Fires Dataset (UCI Repository) - **Attributes**: - Temperature, Relative Humidity, Wind, Rain - DC, DMC, FFMC, ISI (fire danger indices) - FWI (target variable) - **Target**: `FWI` (Fire Weather Index — numerical value) --- ## 🧹 Data Preprocessing - Combined two region-wise datasets into one - Converted region column to numerical category - Converted all columns to appropriate data types - Handled missing values - Feature scaling using `StandardScaler` - Split into `train` and `test` sets (80:20) --- ## 🤖 ML Models Used - Linear Regression - Lasso Regression - Ridge Regression - ElasticNet Regression - Decision Tree Regressor - Random Forest Regressor --- ## 📈 Evaluation Metrics - Mean Absolute Error (MAE) - Mean Squared Error (MSE) - Root Mean Squared Error (RMSE) - R² Score --- ## ✅ Best Model After comparing multiple models, **Random Forest Regressor** achieved the best performance based on R² score and lowest errors. --- ## 📊 Visualizations - Correlation Heatmap - Feature Distribution - Actual vs Predicted Line Plots - Residual Plots *(All visuals are included in the notebook for deeper insights.)* --- ## 🧰 Tech Stack - Python - Pandas, NumPy - Scikit-learn - Seaborn, Matplotlib - Jupyter Notebook --- …