Evaluating model calibration in classification

19 Feb 2019Juozas VaicenaviciusDavid WidmannCarl AnderssonFredrik LindstenJacob RollThomas B. Schön

Probabilistic classifiers output a probability distribution on target classes rather than just a class prediction. Besides providing a clear separation of prediction and decision making, the main advantage of probabilistic models is their ability to represent uncertainty about predictions... (read more)

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