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.