This paper presents a novel reject rule for SVM classifiers, based on the Receiver Operating Characteristic curve. The rule minimizes the expected classification cost, defined on the basis of classification and error costs peculiar for the application at hand. Experiments performed with different kernels on several data sets publicly available confirmed the effectiveness of the proposed reject rule.

A ROC-based Reject Rule for Support Vector Machines

TORTORELLA, Francesco
2003

Abstract

This paper presents a novel reject rule for SVM classifiers, based on the Receiver Operating Characteristic curve. The rule minimizes the expected classification cost, defined on the basis of classification and error costs peculiar for the application at hand. Experiments performed with different kernels on several data sets publicly available confirmed the effectiveness of the proposed reject rule.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11580/11937
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