Time Series Classification On Arabicdigits
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| seq2tens-an-efficient-representation-of | 0.968 |
| multivariate-lstm-fcns-for-time-series | 0.99 |
| variational-gaussian-processes-with-signature | 0.984 |
| seq2tens-an-efficient-representation-of | 0.993 |
| variational-gaussian-processes-with-signature | 0.985 |
| variational-gaussian-processes-with-signature | 0.994 |
| variational-gaussian-processes-with-signature | 0.986 |
| variational-gaussian-processes-with-signature | 0.979 |
| variational-gaussian-processes-with-signature | 0.992 |
| improving-position-encoding-of-transformers | 0.9945 |