Qi-Hang Yang

Credit Risk Assessment and Explainability of Machine Learning

The credit risk model should choose between forecasting ability, interpretation requirements, misjudgment cost, and compliance conditions, and form a more stable application path through traditional model benchmarks, machine learning assistance, interpretation tools, and manual review.