Missing data estimation on UNOS-Lung
0.0606Mean RMSEM-RNN (MI)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| M-RNN (MI)Category=M-RNN, Imputation Type=Multiple Imputation2017.11 | 0.0606 | — | |
| M-RNN (SI)Category=M-RNN, Imputation Type=Single Imputation2017.11 | 0.0609 | — | |
| MissForestCategory=Imputation2017.11 | 0.0652 | 7.1 | |
| Auto-encoderCategory=Others2017.11 | 0.0712 | 14.9 | |
| Matrix CompletionCategory=Others2017.11 | 0.0942 | 35.7 | |
| MCMCCategory=Others2017.11 | 0.1124 | 46.1 | |
| MICECategory=Imputation2017.11 | 0.1151 | 47.4 | |
| [25]Category=RNN-based2017.11 | 0.1172 | 48.3 | |
| CubicCategory=Interpolation2017.11 | 0.1177 | 48.5 | |
| SplineCategory=Interpolation2017.11 | 0.1199 | 49.5 | |
| [24]Category=RNN-based2017.11 | 0.1264 | 52.1 | |
| [23]Category=RNN-based2017.11 | 0.1343 | 54.9 |