Two stage partial classification for inconsistent and imbalanced classes

Bedingfield, Susan and Smith-Miles, Kate 2006, Two stage partial classification for inconsistent and imbalanced classes, in Sustainable Development Through Effective Man-Machine Co-Existence: Proceedings of the International Conference on Information and Automation (ICA`06), Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 167-171.

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Title Two stage partial classification for inconsistent and imbalanced classes
Author(s) Bedingfield, Susan
Smith-Miles, Kate
Conference name International Conference on Information and Automation (2nd: 2006: Colombo, Sri Lanka)
Conference location Colombo, Sri Lanka
Conference dates December 14-17 2006
Title of proceedings Sustainable Development Through Effective Man-Machine Co-Existence: Proceedings of the International Conference on Information and Automation (ICA`06)
Editor(s) Institute of Electrical and Electronics Engineers
Publication date 2006
Conference series International Conference on Information and Automation
Start page 167
End page 171
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Summary When deriving classification rules for a non-symmetric database with a binary target class, it is common practice to generate rules for the majority class, then any object which is not covered by a rule of suitable accuracy is by default given the minority class prediction. However, in the case where misclassification costs for the minority class significantly outweigh those of the majority class, this may mean that there are still costly incorrect predictions. We examine the capability of an evolutionary algorithm to detect these potentially costly misclassifications.
ISBN 1424405556
9781424405558
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2006, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009796

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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