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

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4 Author(s)
Petr Honzík ; Brno University of Technology, Faculty of Electrical Engineering and Communication, Department of Control and Instrumentation, Kolejní 2906/4, 61200, Brno, Czech Republic ; Pavel Kučera ; Ondřej Hynčica ; Daniel Haupt

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.

Published in:

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on  (Volume:1 )

Date of Conference:

15-17 Sept. 2011