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Table 4 Average G-mean value of different algorithms with different dataset

From: Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification

G-mean NN SMOTE-NN R-SMOTE-NN SRA-NN ASCB_DmSMOTE-NN
ThoraricSurgery 0.179 0.651 0.479 ± 0.22 0.715 ± 0.12 0.843 ± 0.05
Ecoli 0.630 0.904 0.768 ± 0.18 0.813 ± 0.12 0.875 ± 0.04
Sick Euthyroid 0.613 0.916 0.750 ± 0.15 0.832 ± 0.10 0.916 ± 0.04
Yeast_ML8 0.000 0.690 0.641 ± 0.14 0.926 ± 0.07 0.928 ± 0.05
Thyroid Sick 0.453 0.916 0.811 ± 0.14 0.898 ± 0.05 0.836 ± 0.6
Arrhythmia 0.091 0.880 0.802 ± 0.13 0.904 ± 0.06 0.951 ± 0.4
Mammography 0.520 0.896 0.795 ± 0.12 0.746 ± 0.06 0.926 ± 0.5
G_average 0.355 0.836 0.721 ± 0.14 0.833 ± 0.10 0.896 ± 0.05
  1. The italicized entries represent the best performance