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Bonferroni refers to a method of adjustment for multiple comparisons in which the p value is divided by the number of tests. It is more conservative than many other such methods.

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How to properly perform Bonferroni Correction with multiple datasets and questions

also that I am testing a different set of algorithms (G H and I) on a different dataset, and I want to test whether G is better than the other two: G > H G > I In these cases if I wished to perform a Bonferroni
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