Publication

Cost-sensitive learning and decision making revisited

Viaene, Stijn
; 
Dedene, Guido
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Publication Type
Journal article with impact factor
Editor
Supervisor
Publication Year
2005-10
Journal
European Journal of Operational Research
Book
Publication Volume
166
Publication Issue
1
Publication Begin page
212
Publication End page
220
Publication Number of pages
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Abstract
In many real-life decision making situations the default assumption of equal misclassification costs underlying pattern recognition techniques is most likely violated. Then, cost-sensitive learning and decision making bring help for making cost-benefit-wise optimal decisions. This paper brings an up-to-date overview of several methods that aim to make a broad variety of error-based learners cost-sensitive. More specifically, we revisit direct minimum expected cost classification, MetaCost, over- and undersampling, and cost-sensitive boosting.
Research Projects
Organizational Units
Journal Issue
Keywords
46 Information and Computing Sciences, 4611 Machine Learning
Citation
Knowledge Domain/Industry
Operations & Supply Chain Management
DOI
https://doi.org/10.1016/j.ejor.2004.03.031
URI
http://hdl.handle.net/20.500.12127/1294
Other links
https://doi.org/10.1016/j.ejor.2004.03.031
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