Title :
New feature selection method for multi-class data: Iteratively weighted AUC (IWA)
Author :
Petr Honzík;Pavel Kučera;Ondřej Hynčica;Daniel Haupt
Author_Institution :
Brno University of Technology, Faculty of Electrical Engineering and Communication, Department of Control and Instrumentation, Kolejní
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.
Keywords :
"Correlation","Machine learning","Mathematical model","Computational modeling","Accuracy","Filtering algorithms","Indexes"
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Print_ISBN :
978-1-4577-1426-9
DOI :
10.1109/IDAACS.2011.6072769
