Multivariate Time Series Imputation On 1
Métriques
MAE (10% of data as GT)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | MAE (10% of data as GT) |
|---|---|
| saits-self-attention-based-imputation-for | 0.186 |
| imputets-time-series-missing-value-imputation | 0.390 |
| estimating-missing-data-in-temporal-data | 0.451 |
| multiple-imputation-using-chained-equations | 0.634 |
| neural-ordinary-differential-equations | - |
| latent-odes-for-irregularly-sampled-time | - |
| latent-odes-for-irregularly-sampled-time | - |
| neural-ordinary-differential-equations | - |
| brits-bidirectional-recurrent-imputation-for | 0.281 |