Regression on King (test)
0.59R²IT-GAN
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| IT-GANVariant=Q2022.02 | 0.59 | 0.6 | 0.12 | 0.28 | 2,040 | |
| IT-GANVariant=Standard2022.02 | 0.59 | 0.6 | 0.12 | 0.27 | 4,570 | |
| IT-GAN (Q)variant=Quantile2022.02 | 0.59 | 0.6 | 0.12 | 0.28 | — | |
| IT-GAN2022.02 | 0.59 | 0.6 | 0.12 | 0.27 | — | |
| IT-GANVariant=L2022.02 | 0.53 | 0.56 | 0.13 | 0.29 | 16,300 | |
| IT-GAN (L)variant=Linear2022.02 | 0.53 | 0.56 | 0.13 | 0.29 | — | |
| Real2022.02 | 0.5 | 0.61 | 0.14 | 0.3 | 0 | |
| RealType=Ground Truth2022.02 | 0.5 | 0.61 | 0.14 | 0.3 | — | |
| TVAE2022.02 | 0.44 | 0.52 | 0.16 | 0.32 | 2,650 | |
| TVAE2022.02 | 0.44 | 0.52 | 0.16 | 0.32 | — | |
| TGAN2022.02 | 0.43 | 0.6 | 0.16 | 0.32 | 5,670 | |
| TGAN2022.02 | 0.43 | 0.6 | 0.16 | 0.32 | — | |
| TableGAN2022.02 | 0.41 | 0.46 | 0.17 | 0.33 | 3,620 | |
| TableGAN2022.02 | 0.41 | 0.46 | 0.17 | 0.33 | — | |
| VeeGAN2022.02 | 0.25 | 0.32 | 0.21 | 0.37 | 68,300 | |
| VeeGAN2022.02 | 0.25 | 0.32 | 0.21 | 0.37 | — | |
| PrivBN2022.02 | -0.01 | 0.51 | 0.31 | 0.44 | 13,000 | |
| CLBN2022.02 | -0.05 | 0.35 | 0.57 | 0.56 | 35,300 | |
| Ind2022.02 | -0.09 | 0.13 | 0.34 | 0.46 | 535 | |
| MedGAN2022.02 | -0.39 | 0.01 | 0.97 | 0.78 | 290,000 | |
| Uniform2022.02 | -0.98 | 0.05 | 3.84 | 1.76 | 255,000 |