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Table 9 Ranks computed by the Wilcoxon test based on the MMCCs

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 63 16 36 62 25 82 45 84 82 76 75 61 59
SAMME 57 12 30 55 43 62 29 90 74 93 87 70 64
CatBoost 104 108 82 95 84 105 89 116 99 110 110 107 104
LogitBoost 84 90 38 73 58 84 79 96 85 104 106 89 89
GradientBoost 58 65 25 47 50 62 50 75 66 79 71 74 59
XGBoost 95 77 36 62 70 75 61 95 83 106 104 85 83
MEBoost 38 58 15 36 58 30 43 75 83 75 65 59 57
SMOTEBoost 75 91 31 41 70 59 77 104 82 109 113 95 89
RUSBoost 36 30 4 24 45 25 45 16 68 68 54 39 48
LightGBM 38 46 21 35 54 37 37 38 52 63 49 44 50
AdaC1 44 27 10 16 41 14 45 11 52 57 32 31 35
AdaC2 45 33 10 14 49 16 55 7 66 71 88 35 50
AdaC3 59 50 13 31 46 35 61 25 81 76 89 85 59
AdaCost 61 56 16 31 61 37 63 31 72 70 85 70 61