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dc.contributor.authorOrtigosa-Hernández J.en_US
dc.contributor.authorInza I.en_US
dc.contributor.authorLozano J.A.en_US
dc.date.accessioned2017-08-06T10:32:32Z
dc.date.available2017-08-06T10:32:32Z
dc.date.issued2017-07-30
dc.identifier.issn0167-8655
dc.identifier.urihttp://hdl.handle.net/20.500.11824/716
dc.description.abstractSince many important real-world classification problems involve learning from unbalanced data, the challenging class-imbalance problem has lately received con- siderable attention in the community. Most of the methodological contributions proposed in the literature carry out a set of experiments over a battery of specific datasets. In these cases, in order to be able to draw meaningful conclusions from the experiments, authors often measure the class-imbalance extent of each tested dataset using imbalance-ratio, i.e. dividing the frequencies of the majority class by the minority class. In this paper, we argue that, although imbalance-ratio is an informative measure for binary problems, it is not adequate for the multi-class scenario due to the fact that, in that scenario, it groups problems with disparate class-imbalance extents under the same numerical value. Thus, in order to overcome this drawback, in this paper, we propose imbalance-degree as a novel and normalised measure which is capable of properly measuring the class-imbalance extent of a multi-class problem. Experimental results show that imbalance-degree is more adequate than imbalance- ratio since it is more sensitive in reflecting the hindrance produced by skewed multi- class distributions to the learning processes.en_US
dc.description.sponsorshipTIN2013-41272P, IT609-13, AP2008-00766en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.publisherPattern Recognition Letteren_US
dc.relationES/1PE/SEV-2013-0323en_US
dc.relationEUS/BERC/BERC.2014-2017en_US
dc.relationEUS/ELKARTEKen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.titleMeasuring the Class-imbalance Extent of Multi-class Problemsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeinfo:eu-repo/semantics/acceptedVersionen_US


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