Jia-Wen Xu

Robust Explainable Supplier Risk Prediction under Imperfect Domain Knowledge: Empirically Vetted Monotonic XGBoost with TreeSHAP

The study shows that domain constraints should be auditable inputs rather than unquestioned rules and proposes empirically vetted monotonic XGBoost (EV-Mono), in which domain experts still supply candidate directions while training data are allowed only to veto, never reverse, a candidate constraint.