To improve interpretability, the SHAP framework was utilized being a sport-theory–centered system that assigns Each individual function a measurable effect on predictions. To be sure machine Mastering algorithms are both equally effective and generalizable, K-fold cross-validation was employed. This method meticulously divides the dataset