Beyond Binary Classification: A Comprehensive Survival Analysis and Calibration Assessment of the Heart Failure Clinical Records Datase
Background: The Heart Failure Clinical Records dataset (n = 299) is among the most extensively reused benchmark datasets in clinical machine learning, yet the overwhelming majority of published analyses treat patient mortality as a static binary classification target and rarely test the statistical assumptions underlyi...