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Table 12 Holm post-hoc test results based on the G-means

From: Boosting methods for multi-class imbalanced data classification: an experimental review

Control method (CatBoost)
Algorithm Z p-value Holm Hypothesis (α = 0.05)
AdaBoost.MH 2.1385 0.0324 0.0062 Not rejected
SAMME 1.9857 0.047 0.0071 Not rejected
LogitBoost 0.6328 0.5268 0.05 Not rejected
GradientBoost 1.7675 0.0771 0.01 Not rejected
XGBoost 1.1565 0.2474 0.0166 Not rejected
MEBoost 2.1385 0.0324 0.0055 Not rejected
SMOTEBoost 0.7637 0.445 0.025 Not rejected
RUSBoost 2.5531 0.0106 0.0038 Not rejected
LightGBM 2.2912 0.0219 0.005 Not rejected
AdaC1 2.5313 0.0113 0.0041 Not rejected
AdaC2 1.7021 0.0887 0.0125 Not rejected
AdaC3 2.3349 0.0195 0.0045 Not rejected
AdaCost 1.833 0.0667 0.0083 Not rejected