Effective Strategies for Handling Imbalanced Data in Credit AI Systems
Handling imbalanced data is a critical challenge in developing effective AI-driven credit scoring models. When the distribution of creditworthy and non-creditworthy applicants is uneven, it can compromise the accuracy and fairness of risk assessment systems. Understanding the Challenge of Imbalanced…