2.2 Understanding the performance of machine learning models.pdf
EBA-related study analyzing machine learning models for credit default prediction, comparing their performance with traditional methods like Logistic Regression. Evaluates predictive power, calibration, and regulatory capital savings under the IRB approach, highlighting economic benefits and supervisory challenges of ML adoption in banking.