Chowdhury Aseer Ruthbah

Decomposing Apparent Skill in Machine-Learning Event Classification: A Multi-Catalog Study of Label Structure, Feature Coupling, and Operational Generalization

Machine-learning evaluation assumes that a held-out target represents the decision problem of interest. That assumption is difficult to satisfy when labels are constructed retrospectively from the same observational record that supplies the predictors, because a classifier can th...