Imbalanced Classification on 27 imbalanced datasets benchmark leaderboard · SOTA2 Research

Imbalanced Classification on 27 imbalanced datasets

1Avg Rank (DT)GMR

Evaluation Results

Method
GMR2026.02	1	5.93	5.3	2.19	2.89	6.67	5.59	4.22
EditedNearestNeighbours2026.02	6.74	9.93	9.37	7.96	9.33	9.7	8.74	8.82
NeighbourhoodCleaningRule2026.02	6.96	9.07	9.96	6.52	9.44	9.93	8.22	8.59
AllKNN2026.02	6.96	10.67	9.11	9.04	8.81	9.52	9.81	9.13
RepeatedEditedNearestNeighbours2026.02	7.67	10.48	11.04	8.89	10.52	10.63	11.07	10.04
OneSidedSelection2026.02	8.56	8.81	7.7	7.11	8.48	8.81	8.7	8.31
RandomOverSampler2026.02	8.89	6.59	8.74	12.63	8.19	8.19	6.89	8.59
None2026.02	10	8.81	8.44	7.44	8.26	6.44	8.33	8.25
TomekLinks2026.02	10.15	7.74	8.33	7.52	8.3	6.96	7.56	8.08
SVMSMOTE2026.02	10.19	8.7	7.33	9.44	8.85	6.89	9.11	8.64
SMOTE2026.02	10.41	8.37	10.52	11.07	7.78	8.41	8.59	9.31
ADASYN2026.02	10.85	11.81	13	12.96	10.67	9.74	10.41	11.35
SMOTETomek2026.02	11.04	8.44	10.52	11.22	8	7.52	8.44	9.31
SMOTEN2026.02	11.59	12.63	13.44	11.37	13.33	11.52	13.41	12.47
BorderlineSMOTE2026.02	11.67	10.44	11.37	10.93	10.7	10.3	10.44	10.84
SMOTEENN2026.02	12.41	11	11.15	15.59	10.63	12.11	10.26	11.88
InstanceHardnessThreshold2026.02	13.48	14.81	13.37	11.37	14.93	15.63	16.22	14.26
RandomUnderSampler2026.02	15.3	14.26	11.37	14.7	15.44	15.48	14.78	14.48
CNN2026.02	15.48	11.67	9.78	11.89	15.41	14.63	13.63	13.21
NearMiss2026.02	19.33	19.26	18.81	19.26	19.37	19.74	19.19	19.28