Two class classifiers are used in many complex problems in which the classification results could have serious consequences. In such situations the cost for a wrong classification can be so high that can be convenient to avoid a decision and reject the sample. This paper presents a comparison between two different reject rules (the Chow’s and the ROC rule). In particular, the experiments show that the Chow’s rule is inappropriate when the estimates of the a posteriori probabilities are not reliable.

An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules

MARROCCO, Claudio;MOLINARA, Mario;TORTORELLA, Francesco
2007-01-01

Abstract

Two class classifiers are used in many complex problems in which the classification results could have serious consequences. In such situations the cost for a wrong classification can be so high that can be convenient to avoid a decision and reject the sample. This paper presents a comparison between two different reject rules (the Chow’s and the ROC rule). In particular, the experiments show that the Chow’s rule is inappropriate when the estimates of the a posteriori probabilities are not reliable.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11580/1239
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