Automatic Sleep Stage Classification On Sleep 1
Metrics
Accuracy
Cohen’s Kappa score
Number of parameters (M)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy | Cohen’s Kappa score | Number of parameters (M) |
|---|---|---|---|
| towards-interpretable-sleep-stage | 80.8 | 0.736 | 0.32 |
| an-attention-based-deep-learning-approach-for | 84.4 | - | - |
| time-series-representation-learning-via | 83.0 | - | - |
| towards-interpretable-sleep-stage | 84.3 | 0.785 | 4.05 |