Binary Classifier Calibration Using a Bayesian Non-Parametric Approach

Learning probabilistic predictive models that are well calibrated is critical for many prediction and decision-making tasks in Data mining. This paper presents two new non-parametric methods for calibrating outputs of binary classification models: a method based on the Bayes optimal selection and a...

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Bibliographic Details

Published in:	Proceedings of the ... SIAM International Conference on Data Mining Vol. 2015; p. 208
Main Authors:	Naeini, Mahdi Pakdaman, Cooper, Gregory F, Hauskrecht, Milos
Format:	Journal Article
Language:	English
Published:	United States 2015
ISSN:	2167-0102
Online Access:	Get more information
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