Time Series Classification On Digitshapes
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 | 0.008 |
multivariate-lstm-fcns-for-time-series | 1 | - |
variational-gaussian-processes-with-signature | 1.000 | 0.035 |
variational-gaussian-processes-with-signature | 1.000 | 0.035 |
variational-gaussian-processes-with-signature | 1.000 | 0.021 |
variational-gaussian-processes-with-signature | 1.000 | 0.013 |
seq2tens-an-efficient-representation-of | 1 | - |
variational-gaussian-processes-with-signature | 0.812 | 0.727 |
seq2tens-an-efficient-representation-of | 1 | - |