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Pairwise Multiple Comparisons: Theory and Computation (SpringerBriefs in Statistics) Book Reviews from YouTube

Multiple Comparisons
11.3 Multiple Pairwise Comparisons (L11 Model Eval. Part 4)
Bonferroni's Method for Pairwise Multiple Comparisons
11.2 McNemar's Test for Pairwise Classifier Comparison (L11 Model Eval. Part 4)
On slide 24, there is a definition of M (that is not explained) and an explanation of "L" (which never seems to be used). Are we right to understand that "L" should be "M" on slide 24 (~ 4:35)?
Very well explained👍👍
What if you want to test only if T4 is different from 1 2 and 3? Would the test statistic be different from that of comparing all pairs?
Thank you very much for such a nice explanation. I have a question, can we apply it for multi-label classification as well, in which case we might have partial correct or incorrect prediction, rather than correct or incorrect as binary values.
Beautifully explained 👍

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