Parameter Estimation on Synthetic Dataset 60% MNAR (test)
0.8624RMSE (Imputed)AV-LR
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| AV-LRTraining Time (s)=62.915 ± 6.292, Testing Time (s)=0.156 ± 0.0162026.03 | 0.8624 | 0.33 | 1.3 | 0.54 | |
| DLGLMTraining Time (s)=80.556 ± 8.056, Testing Time (s)=6.078 ± 0.6082026.03 | 0.88 | 0.34 | 1.35 | 0.56 | |
| NotMIWAETraining Time (s)=44.607 ± 4.461, Testing Time (s)=1.232 ± 0.1232026.03 | 0.92 | 0.36 | 1.42 | 0.6 | |
| missForestTraining Time (s)=30.708 ± 5.000, Testing Time (s)=14.315 ± 2.5002026.03 | 1.0749 | 0.628 | 2.0712 | 0.712 | |
| MICETraining Time (s)=0.118 ± 0.020, Testing Time (s)=0.079 ± 0.0102026.03 | 1.2579 | 0.5791 | 2.053 | 0.5545 | |
| SAEMTraining Time (s)=4211.332 ± 181.877, Testing Time (s)=36.433 ± 6.5112026.03 | 1.3 | 0.62 | 2 | 0.66 | |
| MeanTraining Time (s)=0.012 ± 0.002, Testing Time (s)=0.000 ± 0.0002026.03 | 1.4825 | 0.7354 | 2.9295 | 0.7709 |