Time Series Classification On
Métriques
Accuracy
NLL
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy | NLL |
|---|---|---|
| variational-gaussian-processes-with-signature | 0.991 | 0.031 |
| seq2tens-an-efficient-representation-of | 0.957 | - |
| variational-gaussian-processes-with-signature | 0.233 | 2.506 |
| variational-gaussian-processes-with-signature | 0.941 | 0.409 |
| variational-gaussian-processes-with-signature | 0.979 | 0.108 |
| multivariate-lstm-fcns-for-time-series | 1 | - |
| variational-gaussian-processes-with-signature | 0.925 | 0.258 |
| seq2tens-an-efficient-representation-of | 0.994 | - |
| variational-gaussian-processes-with-signature | 0.114 | 3.523 |