M. Güneş

Interpretable Machine Learning for Daily Streamflow Using Gam And Xgboost With Shap-Based Analysis

Predicting and interpreting streamflow changes is critical for the long-term sustainability of water resources under climate variability. This study investigates daily streamflow dynamics in Turkey's Sakarya River Basin using Generalized Additive Models (GAM), Extreme Gradient Boosting (XGBoost), and Explainable AI tec...