Please use this identifier to cite or link to this item:
http://repositorio.inesctec.pt/handle/123456789/7175
Title: | Combining ranking with traditional methods for ordinal class imbalance |
Authors: | Cruz,R Kelwin Alexander Correia Pinto Costa,JF Ortiz,MP Jaime Cardoso |
Issue Date: | 2017 |
Abstract: | In classification problems, a dataset is said to be imbalanced when the distribution of the target variable is very unequal. Classes contribute unequally to the decision boundary, and special metrics are used to evaluate these datasets. In previous work, we presented pairwise ranking as a method for binary imbalanced classification, and extended to the ordinal case using weights. In this work, we extend ordinal classification using traditional balancing methods. A comparison is made against traditional and ordinal SVMs, in which the ranking adaption proposed is found to be competitive. © Springer International Publishing AG 2017. |
URI: | http://repositorio.inesctec.pt/handle/123456789/7175 http://dx.doi.org/10.1007/978-3-319-59147-6_46 |
metadata.dc.type: | conferenceObject Publication |
Appears in Collections: | CTM - Articles in International Conferences |
Files in This Item:
File | Description | Size | Format | |
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P-00M-W96.pdf | 11.41 MB | Adobe PDF | ![]() View/Open |
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