B-ROC Curves for the Assessment of Classifiers over Imbalanced Data Sets

Abstract

The class imbalance problem appears to be ubiquitous to a large portion of the machine learning and data mining communities. One of the key questions in this setting is how to evaluate the learning algorithms in the case of class imbalances. In this paper we introduce the Bayesian Receiver Operating Characteristic (B-ROC) curves, as a set of tradeoff curves… (More)

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Cite this paper

@inproceedings{Crdenas2006BROCCF, title={B-ROC Curves for the Assessment of Classifiers over Imbalanced Data Sets}, author={Alvaro A. C{\'a}rdenas and John S. Baras}, booktitle={AAAI}, year={2006} }