Sleep Stage Detection On Shhs Single Channel
Métriques
Accuracy
Cohen's Kappa
Macro-F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy | Cohen's Kappa | Macro-F1 |
|---|---|---|---|
| mc2sleepnet-multi-modal-cross-masking-with | 88.5% | 0.840 | 0.823 |
| sleepyco-automatic-sleep-scoring-with-feature | 87.9% | 0.830 | 0.807 |
| xsleepnet-multi-view-sequential-model-for | 87.7% | 0.828 | 0.801 |
| mc2sleepnet-multi-modal-cross-masking-with | 88.6% | 0.841 | 0.821 |
| neuronet-a-novel-hybrid-self-supervised | 86.88% | - | 0.812 |