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

Authors

C. Marrocco, M. Molinara, F. Tortorella


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.


Doi :
10.1007/978-3-540-73499-4_5                
Published in :

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