Sleep Stage Detection On Sleep Edf
Metrics
Accuracy
Cohen's kappa
Macro-F1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy | Cohen's kappa | Macro-F1 |
|---|---|---|---|
| sleepyco-automatic-sleep-scoring-with-feature | 86.8% | 0.820 | 0.812 |
| do-not-sleep-on-linear-models-simple-and | 86.6% | 0.816 | 0.810 |
| deepsleepnet-a-model-for-automatic-sleep | 82% | 0.76 | 0.769 |
| intra-and-inter-epoch-temporal-context | 84.0% | - | - |
| xsleepnet-multi-view-sequential-model-for | 86.4% | 0.813 | 0.809 |
| joint-classification-and-prediction-cnn | 81.9% | - | - |
| do-not-sleep-on-linear-models-simple-and | 86.3% | 0.813 | 0.805 |
| deep-convolutional-neural-networks-for-10 | 81.3% | - | - |