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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