Ravindra Reddy Mallireddy

A multi-metric evaluation framework for machine learning credit scoring models aligned with Basel III and IFRS 9 regulatory validation requirements

The findings illustrate that credit risk model evaluation under regulatory frameworks requires multi-metric assessment under both normal and adversarial conditions, and that model selection based solely on discrimination metrics may overlook critical robustness and governance considerations.