NDLI: The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study

Content Provider	IEEE Xplore Digital Library
Author	Xu-Ying Liu Zhi-Hua Zhou
Copyright Year	2006
Description	Author affiliation: Nat. Lab. for Novel Software Technol., Nanjing Univ., Nanjing (Xu-Ying Liu; Zhi-Hua Zhou)
Abstract	In real-world applications the number of examples in one class may overwhelm the other class, but the primary interest is usually on the minor class. Cost-sensitive learning has been deeded as a good solution to these class-imbalanced tasks, yet it is not clear how does the class-imbalance affect cost-sensitive classifiers. This paper presents an empirical study using 38 data sets, which discloses that class-imbalance often affects the performance of cost-sensitive classifiers: When the misclassification costs are not seriously unequal, cost-sensitive classifiers generally favor natural class distribution although it might be imbalanced; while when misclassification costs are seriously unequal, a balanced class distribution is more favorable.
Starting Page	970
Ending Page	974
File Size	135261
Page Count	5
File Format	PDF
ISBN	0769527017
ISSN	15504786
DOI	10.1109/ICDM.2006.158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Laboratories Application software Design methodology Intrusion detection Medical diagnosis Biomedical monitoring Cost function Data mining Decision trees
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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