Table 5.
Average and std of data utility metrics computed on BREAST small-set
| PCD ↓ | Log-Cluster ↓ | CrCl-RS (1) | CrCl-SR (1) | Supp. Coverage ↑ | |
|---|---|---|---|---|---|
| Method | |||||
| IM | 0.73 (0.0) | -5.38 (0.87) | 0.96 (0.0) | 1.0 (0.0) | 0.99 (0.01) |
| BN | 0.28 (0.01) | -8.38 (1.12) | 0.99 (0.0) | 1.0 (0.0) | 0.98 (0.01) |
| MPoM | 0.03 (0.01) | -10.5 (0.46) | 1.0 (0.0) | 1.0 (0.0) | 1.0 (0.01) |
| CLGP | 0.17 (0.01) | -7.8 (0.65) | 0.99 (0.01) | 1.0 (0.01) | 1.0 (0.0) |
| MC-MedGAN | 0.76 (0.01) | -3.17 (0.1) | 1.0 (0.01) | 0.75 (0.0) | 0.95 (0.01) |
| MICE-LR | 0.07 (0.01) | -8.34 (0.29) | 0.99 (0.0) | 1.0 (0.0) | 1.0 (0.0) |
| MICE-LR-DESC | 0.06 (0.01) | -9.36 (0.49) | 0.99 (0.0) | 1.0 (0.0) | 1.0 (0.01) |
| MICE-DT | 0.02 (0.0) | -11.61 (0.3) | 1.01 (0.0) | 1.0 (0.0) | 0.99 (0.01) |
CrCl-RS and CrCl-SR are the cross-classification metric computed on real → synthetic (RS) and synthetic → real (SR), respectively. Metrics were computed from 10 synthetically generated datasets. The symbols on the right side of metric’s name indicate: ↑ the higher the better, ↓ the lower the better, and (1) the closer to one the better