AUC-Based Linear Combination of Dichotomizers
Autori: a cura di D. YEUNG, J.T. KWOK, A. FRED, F. ROLI, D. DE RIDDER, MARROCCO, Claudio, MOLINARA, Mario, TORTORELLA, Francesco
Rivista/Conferenza: Lecture Notes in Computer Science 4109
Abstract
The combination of classifiers is an established technique to improve the classification performance. The combination rules proposed up to now generally try to decrease the classification error rate, which is a performance measure not suitable in many real situations and particularly when dealing with two class problems. In this case, a good alternative is given by the Area under the Receiver Operating Characteristic curve (AUC). This paper presents a method for the linear combination of two-class classifiers aimed at maximizing the AUC. The effectiveness of the approach has been confirmed by the tests performed on standard datasets.
BibTeX
@article{acuradidyeungjtkwokafred2006auc,
title={AUC-Based Linear Combination of Dichotomizers},
author={a cura di D. YEUNG, J.T. KWOK, A. FRED and F. ROLI and D. DE RIDDER and MARROCCO, Claudio and MOLINARA, Mario and TORTORELLA, Francesco},
journal={Lecture Notes in Computer Science 4109},
year={2006},
doi={10.1007/11815921_78}
}