New feature selection method for multi-class data: Iteratively weighted AUC (IWA)

Abstract

This paper deals with the new filter feature selection method Iteratively Weighted Area under Receiver Operating Characteristic (IWA). It is aimed for the multi-class problems with quantitative inputs. The experiments prove its superior quality in comparison to the equivalent methods.

DOI: 10.1109/IDAACS.2011.6072769

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Cite this paper

@article{Honzk2011NewFS, title={New feature selection method for multi-class data: Iteratively weighted AUC (IWA)}, author={Petr Honz{\'i}k and Pavel Kucera and Ondrej Hyncica and Daniel Haupt}, journal={Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems}, year={2011}, volume={1}, pages={336-340} }