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. 2023 Nov 24;11:e47859. doi: 10.2196/47859

Table 2.

Validation results obtained using the DTa classifier: mean (SD) values of 5 experiments.

Data type, GANb, and approach NSCLCc Breast cancer Diabetes
AUCd F1-score AUC F1-score AUC F1-score
ODe 66.06 (1.31) 66.11 (1.30) 61.14 (1.66) 49.64 (1.06) 65.58 (0.13) 47.82 (0.04)
Balanced STDf

CTGANg, no condition 63.46 (1.91) 61.87 (1.83) 59.10 (2.17) 62.20 (1.93) 57.19 (0.25) 49.16 (0.10)
CTGAN, CSh 59.95 (1.26) 58.65 (2.44) 64.65 (1.66) 56.67 (1.31) 58.93 (0.18) 47.89 (0.09)
CTGAN, DCi 74.50 (1.23) 71.99 (0.77)j 73.31 (1.11)j 67.10 (1.83) 61.57 (0.09)j 50.45 (0.05)
CopulaGANk, no condition 66.11 (1.32) 65.16 (1.27) 59.82 (1.69) 52.32 (2.11) 58.93 (0.24 47.13 (0.04)
CopulaGAN, CS 63.87 (2.02) 63.07 (1.87) 67.96 (2.15) 62.20 (1.93) 60.08 (0.17) 49.77 (0.04)
CopulaGAN, DC 74.87 (0.77)j 70.54 (0.76) 70.66 (0.85) 68.92 (1.78)j 60.61 (0.06) 53.80 (0.08)j
Imbalanced STD

CTGAN, no condition 50.93 (0.89) 44.99 (1.97) 52.48 (0.09 38.75 (0.51 57.60 (0.14 47.09 (0.01
CTGAN, CS 50.64 (0.80) 44.80 (1.48) 52.48 (0.09) 38.75 (0.51) 58.34 (0.24) 47.09 (0.01)
CTGAN, DC 57.99 (2.06) 57.78 (2.81) 56.00 (0.31) 38.75 (0.51) 60.52 (0.05) 50.36 (0.10)
CopulaGAN, no condition 52.32 (1.05) 48.38 (1.92) 53.81 (0.63) 38.75 (0.51) 57.10 (0.21) 47.09 (0.01)
CopulaGAN, CS 52.06 (0.91) 47.62 (1.70) 55.50 (1.01) 38.75 (0.51) 56.21 (0.24) 47.09 (0.01)
CopulaGAN, DC 55.86 (3.10) 54.12 (4.60) 57.95 (0.76) 38.75 (0.51) 59.38 (0.15) 50.22 (0.08)

aDT: decision tree.

bGAN: generative adversarial network.

cNSCLC: non–small cell lung cancer.

dAUC: area under the curve.

eOD: original data.

fSTD: synthetic tabular data.

gCTGAN: conditional tabular generative adversarial network.

hCS: conditional sampling.

iDC: divide and conquer.

jThe best results.

kCopulaGAN: copula generative adversarial network.