The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems

Jordan M. Malof; Maciej A. Mazurowski; Georgia D. Tourassi

doi:10.1109/IJCNN.2009.5178759

The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems

Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper the effect of class imbalance in the case base of a case-based classifier is investigated as it pertains to case base reduction and the resulting classifier performance. A k-nearest neighbor algorithm is used as a classifier and the Random Mutation Hill Climbing (RMHC) algorithm is used for case base reduction. The effects at various levels of positive class prevalence are tested in a binary classification problem. The results indicate that class imbalance is detrimental to both case base reduction and classifier performance. Selection with RMHC generally improves the classification performance regardless of the case base prevalence.

Original language	English
Title of host publication	2009 International Joint Conference on Neural Networks, IJCNN 2009
Pages	1975-1980
Number of pages	6
DOIs	https://doi.org/10.1109/IJCNN.2009.5178759
State	Published - 2009
Externally published	Yes
Event	2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA, United States Duration: Jun 14 2009 → Jun 19 2009

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks

Conference

Conference	2009 International Joint Conference on Neural Networks, IJCNN 2009
Country/Territory	United States
City	Atlanta, GA
Period	06/14/09 → 06/19/09

Keywords

Cased-based learning
Computer-aided decision
Imbalance

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10.1109/IJCNN.2009.5178759

Cite this

Malof, J. M., Mazurowski, M. A., & Tourassi, G. D. (2009). The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. In 2009 International Joint Conference on Neural Networks, IJCNN 2009 (pp. 1975-1980). Article 5178759 (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2009.5178759

@inproceedings{58da9466d66c447ead30d31a6f7c2049,

title = "The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems",

abstract = "In this paper the effect of class imbalance in the case base of a case-based classifier is investigated as it pertains to case base reduction and the resulting classifier performance. A k-nearest neighbor algorithm is used as a classifier and the Random Mutation Hill Climbing (RMHC) algorithm is used for case base reduction. The effects at various levels of positive class prevalence are tested in a binary classification problem. The results indicate that class imbalance is detrimental to both case base reduction and classifier performance. Selection with RMHC generally improves the classification performance regardless of the case base prevalence.",

keywords = "Cased-based learning, Computer-aided decision, Imbalance",

author = "Malof, {Jordan M.} and Mazurowski, {Maciej A.} and Tourassi, {Georgia D.}",

year = "2009",

doi = "10.1109/IJCNN.2009.5178759",

language = "English",

isbn = "9781424435531",

series = "Proceedings of the International Joint Conference on Neural Networks",

pages = "1975--1980",

booktitle = "2009 International Joint Conference on Neural Networks, IJCNN 2009",

note = "2009 International Joint Conference on Neural Networks, IJCNN 2009 ; Conference date: 14-06-2009 Through 19-06-2009",

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Malof, JM, Mazurowski, MA & Tourassi, GD 2009, The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. in 2009 International Joint Conference on Neural Networks, IJCNN 2009., 5178759, Proceedings of the International Joint Conference on Neural Networks, pp. 1975-1980, 2009 International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, GA, United States, 06/14/09. https://doi.org/10.1109/IJCNN.2009.5178759

The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. / Malof, Jordan M.; Mazurowski, Maciej A.; Tourassi, Georgia D.
2009 International Joint Conference on Neural Networks, IJCNN 2009. 2009. p. 1975-1980 5178759 (Proceedings of the International Joint Conference on Neural Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Mazurowski, Maciej A.

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Y1 - 2009

N2 - In this paper the effect of class imbalance in the case base of a case-based classifier is investigated as it pertains to case base reduction and the resulting classifier performance. A k-nearest neighbor algorithm is used as a classifier and the Random Mutation Hill Climbing (RMHC) algorithm is used for case base reduction. The effects at various levels of positive class prevalence are tested in a binary classification problem. The results indicate that class imbalance is detrimental to both case base reduction and classifier performance. Selection with RMHC generally improves the classification performance regardless of the case base prevalence.

AB - In this paper the effect of class imbalance in the case base of a case-based classifier is investigated as it pertains to case base reduction and the resulting classifier performance. A k-nearest neighbor algorithm is used as a classifier and the Random Mutation Hill Climbing (RMHC) algorithm is used for case base reduction. The effects at various levels of positive class prevalence are tested in a binary classification problem. The results indicate that class imbalance is detrimental to both case base reduction and classifier performance. Selection with RMHC generally improves the classification performance regardless of the case base prevalence.

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M3 - Conference contribution

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SN - 9781424435531

T3 - Proceedings of the International Joint Conference on Neural Networks

SP - 1975

EP - 1980

BT - 2009 International Joint Conference on Neural Networks, IJCNN 2009

T2 - 2009 International Joint Conference on Neural Networks, IJCNN 2009

Y2 - 14 June 2009 through 19 June 2009

ER -

The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems

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Keywords

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