Pruning is a common technique to avoid over-fitting in decision trees. Most pruning techniques do not ac- count for one important factor - multiple compar-.
KDD
What Does Correcting for Multiple. Testing Mean? • When people say “adjusting p-values for the number of hypothesis tests performed” what they mean is.
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the centers of intervals stationary adjusting for multiple comparisons by making the The main multiple comparisons problem is that the probability a ...
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to correct for multiple testing in a genomics experiment” (p. 24). 43) argued that “a policy of not making adjustments for multiple comparisons is ...
Therefore it is obvious that the proper adjustment of statistical inference is required for multiple comparisons (2). In the present paper
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Keywords: Multiple comparison methods Multiple outcome
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12 févr. 2008 The Bonferroni method of adjusting for multiple comparisons is easy to compute but is well known to be conservative in the presence of LD.
In the context of multiple outcomes the power of the study can be defined in a number of ways depending on the clinical objective of the trial: i) 'disjunctive
to control one kind or another of overall Type I error rate. The Bonferroni adjustment is a simple and trustworthy statistical procedure for assuring
comparison procedure when a Kruskal–Wallis test is rejected and it is now im- The test is frequently used with multiple-comparison adjustments.