arXiv stat.ML
· Papers
Cross-Audit Projection for Model Risk Prediction
arXiv:2607.02328v1 Announce Type: cross Abstract: For training-data-based model risk prediction, $K$-fold cross-validation~(CV) is widely used to mitigate the well-known over-optimism of the empirical risk and is often regarded as reliable. However, for binary classification via empirical risk minimization, our numeric