Guixiang Zhu

DAUNT: Ensemble Disagreement as Actionable Uncertainty for Imbalanced Fraud Detection

Detecting a few hundred fraudulent transactions among hundreds of thousands is an extreme class-imbalance problem where one miss can cost a full transaction value. Stacking heterogeneous classifiers is the standard recipe, yet under a leakage-free, precision–recall evaluation, its ranking gain over the best single mode...