Condition-Stratified Robustness Analysis of Post-Hoc Calibration Methods for Probabilistic Classifiers

Post-hoc calibration is widely adopted to correct probability estimates from trained classifiers, yet most evaluations report aggregate performance without testing whether that performance holds across distinct operating conditions within a single dataset. We present a pre-registered, condition-stra...