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An Extension on ``Statistical Comparisons of Classifiers over Multiple Data Sets'' for all Pairwise Comparisons

机译:所有成对比较的``分类器在多个数据集上的统计比较''的扩展

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In a recently published paper in JMLR, Demšar (2006) recommendsa set of non-parametric statistical tests and procedures which canbe safely used for comparing the performance of classifiers overmultiple data sets. After studying the paper, we realize that thepaper correctly introduces the basic procedures and some of themost advanced ones when comparing a control method. However, itdoes not deal with some advanced topics in depth. Regarding thesetopics, we focus on more powerful proposals of statisticalprocedures for comparing n × n classifiers. Moreover, weillustrate an easy way of obtaining adjusted and comparablep-values in multiple comparison procedures. color="gray">
机译:在最近发表于JMLR的论文中,Demšar(2006)推荐了一组非参数统计检验和程序,可以安全地用于比较多个数据集上分类器的性能。通过研究本文,我们认识到,在比较控制方法时,本文正确地介绍了基本过程和一些最先进的过程。但是,它没有深入处理一些高级主题。关于这些主题,我们将重点放在比较有力的统计程序建议上,以比较 n × n 分类器。此外,我们举例说明了在多个比较过程中获得调整后的和可比较的 p 值的简便方法。 color =“ gray”>

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