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Table 13 Ranks computed by the Wilcoxon test based on the G-means

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

Algorithms AdaBoost.MH SAMME CatBoost LogitBoost GradientBoost XGBoost MEBoost SMOTEBoost RUSBoost LightGBM AdaC1 AdaC2 AdaC3 AdaCost
AdaBoost.MH 48 31 26 68 38 70 41 78 74 68 51 70 55
SAMME 57 32 20 66.5 40.5 71.5 44 72 72.5 72 65 93 71.5
CatBoost 89 73 67 82 75 85 63 83 92 86 85 86 78
LogitBoost 79 85 53 75 75 70 60 82 79 103 76 85 84
GradientBoost 41 53 23 30 57.5 52.5 47 60 81.5 67 46 59 66
XGBoost 67 79 30 30 62.5 74.5 45.5 75 77.5 82 72 73 79
MEBoost 35 48 20 35 67.5 45.5 36 54 80.5 64.5 40 47 52
SMOTEBoost 79 76 57 60 73 74.5 84 100 89 99 80 101 72
RUSBoost 42 33 22 23 45 30 51 20 69 69 59 54 53
LightGBM 31 42.5 13 26 38.5 42.5 39.5 31 36 56 35 43 55
AdaC1 52 33 19 17 38 23 55.5 21 36 49 44 48 31
AdaC2 54 40 35 29 59 33 65 40 61 70 76 65 56
AdaC3 50 27 34 35 61 47 73 19 66 77 72 55 49
AdaCost 65 48 42 36 54 41 68 48 67 65 74 64 71