Time Series Classification On Cmusubject16
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 | 1.000 | 0.088 |
| multivariate-lstm-fcns-for-time-series | 1 | - |
| variational-gaussian-processes-with-signature | 0.993 | 0.089 |
| variational-gaussian-processes-with-signature | 0.979 | 0.089 |
| seq2tens-an-efficient-representation-of | 1 | - |
| variational-gaussian-processes-with-signature | 1.000 | 0.040 |
| variational-gaussian-processes-with-signature | 0.924 | 0.270 |
| seq2tens-an-efficient-representation-of | 1 | - |
| variational-gaussian-processes-with-signature | 0.897 | 0.255 |