Hanrun Jin

A Comparative Study of Traditional Statistical Models and Machine Learning Algorithms in Credit Risk Assessment

It is suggested that superior ranking performance does not necessarily imply superior decision quality and that effective credit risk modeling requires balancing predictive flexibility with probabilistic reliability and governance stability.