collaborators

1 paper

cs.LG2025

On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers

Markus Kängsepp, Kaspar Valk, Meelis Kull

Every uncalibrated classifier has a corresponding true calibration map that calibrates its confidence. Deviations of this idealistic map from the identity map reveal miscalibration…