Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods

Valery Manokhin, Daniel Grønhaug

We study model-agnostic post-hoc calibration methods intended to improve probabilistic predictions in supervised binary classification on real i.i.d. tabular data, with particular…