interpretability, SHAP (SHapley Additive exPlanations) values were utilized, identifying the most influential variables affecting …

study employs data on two provinces in Türkiye, Şırnak and Istanbul, and uses XGBoost and Tree SHAP algorithms and a probit …

forecasting power, with ANN outperforming all others. Using SHapley Additive exPlanations (SHAP), we identified an EKC …

crisis. Using a cross-national dataset and applying XGBoost and SHAP, we examine how dynamic, within-country features, both …

crisis. Using a cross-national dataset and applying XGBoost and SHAP, we examine how dynamic, within-country features, both …

, SHapley Additive exPlanations (SHAP) were applied to RFR, identifying lagged current account balance, GDP per capita, and … lagged population as key predictors, along with total population and government net lending/borrowing. SHAP plots provided … through SHapley Additive exPlanations (SHAP). Key economic indicators, including lagged current account balances, GDP per …

-agnostic Explanations (LIME) and the Shapley Additive Explanations (SHAP). This XAI approach thus enables us to interpret the prediction …