Table 1.
ID dataset YearPredictionMSD with MR.
| Model | Missing Rate | RMSE |
|---|---|---|
| BBP | MR = 0.1 | 16.6 ± 0.1 |
| MC-dropout | 12.4 ± 0.4 | |
| ANPs–SDE-Net | 9.3 ± 0.6 | |
| SDE-Net | 9.3 ± 0.7 | |
| CNPs–SDE-Net | 9.1 ± 0.6 | |
| BBP | MR = 0.3 | 20.4 ± 0.5 |
| MC-dropout | 15.2 ± 0.6 | |
| ANPs–SDE-Net | 13.1 ± 0.9 | |
| SDE-Net | 13.1 ± 1.0 | |
| CNPs-SDE Net | 12.9 ± 0.8 | |
| BBP | MR = 0.5 | 23.5 ± 0.4 |
| MC-dropout | 17.5 ± 1.0 | |
| ANPs–SDE-Net | 16.1 ± 1.1 | |
| SDE-Net | 16.1 ± 1.2 | |
| CNPs–SDE-Net | 15.8 ± 1.0 | |
| BBP | MR = 0.7 | 26.3 ± 1.1 |
| MC-dropout | 19.6 ± 1.2 | |
| ANPs–SDE-Net | 18.5 ± 1.3 | |
| SDE-Net | 18.5 ± 1.4 | |
| CNPs–SDE-Net | 18.2 ± 1.2 | |
| BBP | MR = 0.9 | 28.8 ± 1.3 |
| MC-dropout | 21.5 ± 1.3 | |
| ANPs–SDE-Net | 20.7 ± 1.4 | |
| SDE-Net | 20.7 ± 1.6 | |
| CNPs–SDE-Net | 20.4 ± 1.3 |