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Table 4 Holm post-hoc test results based on the MAUCs

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 3.3387 0.0008 0.0038 Rejected
SAMME 2.7277 0.0045 0.0055 Rejected
LogitBoost 1.3311 0.1831 0.0008 Not rejected
GradientBoost 2.2258 0.026 0.01 Not rejected
XGBoost 1.1783 0.2386 0.025 Not rejected
MEBoost 2.9022 0.0037 0.0041 Rejected
SMOTEBoost 1.0038 0.3154 0.05 Not rejected
RUSBoost 2.8804 0.0039 0.0045 Rejected
LightGBM 2.6186 0.0088 0.0062 Not rejected
AdaC1 3.3387 0.0008 0.0038 Rejected
AdaC2 2.8368 0.0045 0.005 Rejected
AdaC3 2.4876 0.0128 0.0083 Not rejected
AdaCost 2.1167 0.0342 0.0125 Not rejected