Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance

Charles B. Delahunt, Courosh Mehanian, Daniel E. Shea +1

A key task in ML is to optimize models at various stages, e.g. by choosing hyperparameters or picking a stopping point. A traditional ML approach is to use validation loss, i.e. to…