Conformal prediction offers an alternative framework for representing machine learning outputs instead of point prediction scores. This approach has the potential to improve transparency and reduce ...

Methods 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 ...