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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
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Statistical testing: Multiple classifiers, 1 domain. Would rANOVA be appropriate?
A Classification Perspective, 2011, p. 240 ff." for the repeated measures ANOVA and the other book sections for more scenarios in this domain (2/>2 classifiers on single/multiple domains) and the suggested …
4
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Friedman's test to identify best of multiple classifiers on multiple domains
I have several classifiers $f_i\ (i=1, \cdots, N)$ and calculated performance measures on multiple domains $(D)$ for each. Thus, there are $N \times D$ values.
I want to find out (increasing complexit …