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Table 8 Holm post-hoc test results based on the MMCCs

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

2.444

0.0145

0.0038

Not rejected

SAMME

1.833

0.0667

0.0083

Not rejected

LogitBoost

0.48

0.6311

0.05

Not rejected

GradientBoost

1.1783

0.2386

0.0125

Not rejected

XGBoost

0.9383

0.348

0.025

Not rejected

MEBoost

1.9421

0.0521

0.0071

Not rejected

SMOTEBoost

1.1783

0.2386

0.0166

Not rejected

RUSBoost

1.9639

0.0495

0.0062

Not rejected

LightGBM

2.444

0.0145

0.0041

Not rejected

AdaC1

2.1385

0.0324

0.0055

Not rejected

AdaC2

1.7893

0.0735

0.01

Not rejected

AdaC3

2.2694

0.0232

0.005

Not rejected

AdaCost

2.3131

0.0207

0.0045

Not rejected