%0 Conference Paper %1 4053137 %A Liu, Xu-Ying %A Zhou, Zhi-Hua %B Data Mining, 2006. ICDM '06. Sixth International Conference on %D 2006 %K auc class cost evaluation imbalance sensitive %P 970-974 %R 10.1109/ICDM.2006.158 %T The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study %U http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=4053137 %X 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.

@inproceedings{4053137, 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.}, added-at = {2014-06-03T16:56:46.000+0200}, author = {Liu, Xu-Ying and Zhou, Zhi-Hua}, biburl = {https://www.bibsonomy.org/bibtex/2f40094c843478ae0be7d72b594f4133f/jil}, booktitle = {Data Mining, 2006. ICDM '06. Sixth International Conference on}, description = {IEEE Xplore Full-Text HTML : The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study}, doi = {10.1109/ICDM.2006.158}, interhash = {a57e979401f966c14947421fe282f9d0}, intrahash = {f40094c843478ae0be7d72b594f4133f}, issn = {1550-4786}, keywords = {auc class cost evaluation imbalance sensitive}, month = dec, pages = {970-974}, timestamp = {2014-06-03T16:56:46.000+0200}, title = {The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study}, url = {http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=4053137}, year = 2006 }