The Predictive Credit Risk Model with Implementation of Basel Regulations
Credit risk is one of the most important issues in the field of financial risk management.This topic has become a major focus by the financial institutions and regulatory authorities. It is critical for large banking institutions to adapt a robust credit risk assessment. In this paper, machine learning algorithms are compared on predicting the housing loan default status. The compared methods are:
