Cost-sensitive learning and decision making for Massachusetts PIP claim fraud data
Viaene, Stijn Derrig, Richard A. Dedene, Guido (+)
Viaene, Stijn
Derrig, Richard A.
Dedene, Guido (+)
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Publication Type
Journal article with impact factor
Editor
Supervisor
Publication Year
2004
Journal
International journal of Intelligent Systems
Book
Publication Volume
19
Publication Issue
12
Publication Begin page
1197
Publication End page
1215
Publication Number of pages
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Abstract
In this article, we investigate the issue of cost-sensitive classification for a data set of Massachusetts closed personal injury protection (PIP) automobile insurance claims that were previously investigated for suspicion of fraud by domain experts and for which we obtained cost information. After a theoretical exposition on cost-sensitive learning and decision-making methods, we then apply these methods to the claims data at hand to contrast the predictive performance of the documented methods for a selection of decision tree and rule learners. We use standard logistic regression and (smoothed) naive Bayes as benchmarks.
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Keywords
Operations & Supply Chain Management