Drought prediction in Algeria

This repository contains the complete dataset and analytical workflow to reproduce the results of the study "Comparative Machine Learning Modeling for Agricultural Drought Prediction in Algeria Using SHAP-Based Sensitivity Analysis". The research focuses on developing and evaluating machine learning models (e.g., ANN, SVM, Random Forest) for predicting meteorological drought using the Standardized Precipitation Index (SPI) across four regions in Algeria: Sétif, Oum El Bouaghi, Tiaret, and Sidi Bel Abbès.