Time Series Classification On Eigenworms
Métriques
% Test Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | % Test Accuracy |
|---|---|
| unicornn-a-recurrent-model-for-learning-very | 49.7 |
| tsem-temporally-weighted-spatiotemporal | 42 |
| neural-cdes-for-long-time-series-via-the-log | 83.8 |
| long-expressive-memory-for-sequence-modeling-1 | 92.3 |
| unicornn-a-recurrent-model-for-learning-very | 86.7 |
| unicornn-a-recurrent-model-for-learning-very | 90.3 |
| parallelizing-non-linear-sequential-models | 82.1 |
| unicornn-a-recurrent-model-for-learning-very | 40.0 |