| Paper | Code | Accuracy | Cohen's kappa | Macro-F1 | Macro-averaged Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging | ✓ Link | 89.1% | Deep Sleep Net | 2019-10-31 | |||
| Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging | ✓ Link | 88.8% | Simple Sleep Net | 2019-10-31 | |||
| Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring | ✓ Link | 86.7% | 0.803 | 0.817 | CatBoost | 2022-07-15 | |
| DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG | ✓ Link | 86.2% | 0.8 | 0.817 | DeepSleepNet | 2017-03-12 | |
| []() | 85.3% | 0.786 | 0.807 | Linear model | |||
| Structure-Preserving Transformers for Sequences of SPD Matrices | ✓ Link | 0.8124 | 84.40% | SPDTransNet | 2023-09-14 |