Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers

Meelis Kull, Telmo de Menezes e Silva Filho, Peter A. Flach

Abstract: For optimal decision making under variable class distributions and misclassification costs a classifier needs to produce well-calibrated estimates of the posterior probability. Isotonic calibration...