Neural meta-learner

LLM explanations for credit risk fail despite predictive model gains

Researchers have developed a multi-scale stacking ensemble for credit risk prediction that integrates gradient-boosting learners and a residual network, achieving a test ROC-AUC of 0.9539. While this ensemble shows a sm…