Skip to main content

Table 4 Comparisons of classifying the normal and the cancer samples (F1-score%)

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

97.62

32.30

54.97

96.72

97.28

97.72

97.74

KNN

96.91

55.23

57.10

96.69

97.12

97.21

97.21

MLP

98.56

49.42

58.51

97.55

97.64

97.76

97.83

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