Conformal prediction (CP), a distribution-agnostic and model-agnostic framework, addresses this problem by replacing point predictions with prediction sets containing all true classes at a ...

Conformal prediction (CP) is a distribution-agnostic framework for generating statistically calibrated prediction sets whose size reflects model uncertainty. In this study, we applied an extension ...