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. 2010 Jan 14;26(5):668–675. doi: 10.1093/bioinformatics/btq005

Table 3.

Statistical comparisons between C4.5 and the two BRL algorithms using BACC

Comparison Average Diff. t-test Wilcoxon
(t-score) (Z-score)
BRL1versus 63.66 versus 7.02 0.015 0.011
C4.5 56.64 (2.624) (2.555)
BRL1000 versus 67.65 versus 11.01 0.001 0.001
C4.5 56.64 (3.988) (3.254)
BRL1000 versus 67.65 versus 3.99 0.050 0.029
BRL1 63.66 (2.071) (2.190)

We do not compare Ripper and Conjunctive Rule Learner because C4.5 and the two BRL algorithms completely dominate on both performance measures. BRL1 stands for BRL with beam size 1 and BRL1000 represents BRL with beam size 1000. We use both two-sided t-test and two-sided Wilcoxon signed rank test. Those P-values that are significant (≤0.05) are in bold and scores with a positive value favor the first method in the comparison.