Statistical Comparisons of Classifiers over Multiple Data Sets Statistical Comparisons of Classifiers over Multiple Data Sets
Paper summary Describes how to compare classifiers when they were evaluated on multiple datasets (e.g. CIFAR 10, MNIST and SVHN). Recommends Wilcoxon signed ranks test and Friedman test with the corresponding post-hoc tests. Introduce CD (critical difference) diagrams. * McNemar test and 5x2cv are good when comparing two classifiers on one dataset * Describes the Wilcoxon Signed-Ranks Test in section 3.1.3 in detail
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Statistical Comparisons of Classifiers over Multiple Data Sets
Dem\v{s}ar, Janez
JMLR.org J. Mach. Learn. Res. - 2006 via Local Bibsonomy
Keywords: significance, testing, prediction, classification


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