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The Wilcoxon rank sum test, also known as Mann-Whitney U test, is a non-parametric rank test to assess whether one of two samples has larger values than the other.

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How to carry out the Wilcoxon test to compare multiple classifiers?

I have run some unsupervised domain adaptation algorithms on two data sets. (TJM, JDA, GFK, and ARTL). I read this paper that states that the Wilcoxon test is better than parametric tests. I am trying …
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