Deconstructing Cross-Entropy for Probabilistic Binary Classifiers

Deconstructing Cross-Entropy for Probabilistic Binary Classifiers

In this work, we analyze the cross-entropy function, widely used in classifiers both as a performance measure and as an optimization objective. We contextualize cross-entropy in the light of Bayesian decision theory, the formal probabilistic framework for making decisions, and we thoroughly analyze...

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Bibliographic Details
Main Authors: Daniel Ramos, Javier Franco-Pedroso, Alicia Lozano-Diez, Joaquin Gonzalez-Rodriguez
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Entropy
Subjects:
Bayesian
cross-entropy
probabilistic
classifier
discrimination
calibration
ECE plot
Online Access:http://www.mdpi.com/1099-4300/20/3/208

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