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AI-DRIVEN CREDIT SCORING IN INDIAN FINANCIAL INSTITUTIONS: OPPORTUNITIES, RISKS, AND REGULATORY IMPLICATIONS Abstract This paper examines whether machine learning models can meaningfully improve upon logistic regression for credit default prediction in the Indian banking context, and whether such improvements come at the cost of interpretability required by regulators. The study uses a panel of […]
