To reinforce interpretability, the SHAP framework was utilized to be a recreation-concept–dependent approach that assigns each feature a measurable effect on predictions. By assessing its impact throughout all function combos, SHAP presents a dependable, mathematically sound rationalization of model behavior, clarifying how personal variab