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Table 3 Comparisons of classifying the normal and the cancer samples (Accuracy%)

From: Mdwgan-gp: data augmentation for gene expression data based on multiple discriminator WGAN-GP

Methods

Real

CGAN

CWGAN

CWGAN-GP

Gene-CWGAN

S-WGAN-GP

MDWGAN-GP

RF

97.63

39.47

55.49

96.70

97.29

97.72

97.74

KNN

96.91

64.04

64.61

96.68

97.11

97.21

97.20

MLP

98.55

48.87

59.56

97.54

97.64

97.75

97.82

  1. Bold value indicates the best result acquired for a certain tissue