Cautious Calibration in Binary Classification

Mari-Liis Allikivi, Joonas Järve, Meelis Kull

Being cautious is crucial for enhancing the trustworthiness of machine learning systems integrated into decision-making pipelines. Although calibrated probabilities help in optimal…