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An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons

dc.contributor.authorGarcía López, Salvador es_ES
dc.contributor.authorHerrera Triguero, Francisco es_ES
dc.date.accessioned2014-09-05T10:11:27Z
dc.date.available2014-09-05T10:11:27Z
dc.date.issued2008
dc.identifier.citationGarcía López, S.; Herrera, F. An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons. Journal of Machine Learning Research, 9: 2677-2694 (2008). [http://hdl.handle.net/10481/32916]es_ES
dc.identifier.issn1532-4435
dc.identifier.urihttp://hdl.handle.net/10481/32916
dc.description.abstractIn a recently published paper in JMLR, Demsar (2006) recommends a set of non-parametric statistical tests and procedures which can be safely used for comparing the performance of classifiers over multiple data sets. After studying the paper, we realize that the paper correctly introduces the basic procedures and some of the most advanced ones when comparing a control method. However, it does not deal with some advanced topics in depth. Regarding these topics, we focus on more powerful proposals of statistical procedures for comparing n*n classifiers. Moreover, we illustrate an easy way of obtaining adjusted and comparable p-values in multiple comparison procedures.en_EN
dc.description.sponsorshipThis research has been supported by the project TIN2005-08386-C05-01. S. García holds a FPU scholarship from Spanish Ministry of Education and Science.es_ES
dc.language.isoenges_ES
dc.publisherMIT Presses_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es_ES
dc.subjectStatistical methodsen_EN
dc.subjectNon-parametric testen_EN
dc.subjectMultiple comparison testsen_EN
dc.subjectAdjusted p-valuesen_EN
dc.subjectLogically related hypothesesen_EN
dc.titleAn extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisonsen_EN
dc.typejournal articleen_EN
dc.rights.accessRightsopen accessen_EN


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