# Sleep Staging on Sleep-EDF-SC EEG

Source: [Sleep Staging on Sleep-EDF-SC EEG](<https://www.sota2.com/research/sota/sleep-staging-on-sleep-edf-sc-eeg>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:51:24.207Z

Evaluation of sleep staging performance using the Sleep-EDF-SC EEG dataset, reporting Accuracy, Macro F1 score, and Cohen's Kappa.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Sleep Staging |
| Dataset (including any stated split) | Sleep-EDF-SC EEG |
| Metric | Macro F1 |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 19 of 19 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Macro F1](<https://www.sota2.com/research/sota/sleep-staging-on-sleep-edf-sc-eeg.md?metric=Macro%20F1>): Higher is better; unit: PERCENT.

- [Accuracy](<https://www.sota2.com/research/sota/sleep-staging-on-sleep-edf-sc-eeg.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Cohen's Kappa](<https://www.sota2.com/research/sota/sleep-staging-on-sleep-edf-sc-eeg.md?metric=Cohen%27s%20Kappa>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Macro F1 | Result date | Report paper |
| --- | --- | --- | --- |
| Sleep Transformer | 78.8 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| XSleepnet2 | 78.7 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| XSleepnet1 | 78.4 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| TinySleepNet | 78.1 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| RobustSleepNet | 77.9 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| IITNet | 77.7 | Not recorded | 68fa68311e209131cea1aaab |
| Classical ML Pipeline | 77.5 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| Classical ML Pipeline | 77.2 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| Classical ML Pipeline | 77.1 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| DeepSleepNet | 76.9 | Not recorded | 68fa68311e209131cea1aaab |
| Classical ML Pipeline | 76.8 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| RobustSleepNet | 76.3 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| DeepSleepNet-Lite | 75.2 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| SeqSleepNet+ | 75.1 | Not recorded | 68fa68311e209131cea1aaab |
| Sleep Transformer | 74.3 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| RobustSleepNet | 73.8 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| SleepEEGNet | 73.6 | Not recorded | 68fa6e2a1e209131cea3e3e6 |
| DeepSleepNet+ | 73.4 | Not recorded | 68fa68311e209131cea1aaab |

### Sleep Transformer

Macro F1: 78.8. Result ID: 699007573a6c314849fd9551.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ba21e209131cea2f70b.md>)

Recorded evaluation configuration: {"Year":"2022","Technique":"transformer","LP":"FT","Signals":"EEG"}. This record does not assert independent reproduction.

### XSleepnet2

Macro F1: 78.7. Result ID: 699007573a6c314849fd9552.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69b31e209131cea2390d.md>)

[Implementation](<http://github.com/pquochuy/xsleepnet>)

Recorded evaluation configuration: {"Year":"2021","Technique":"CNN & RNN","LP":"LFS","Signals":"EEG + EOG"}. This record does not assert independent reproduction.

### XSleepnet1

Macro F1: 78.4. Result ID: 699007573a6c314849fd9553.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69b31e209131cea2390d.md>)

[Implementation](<http://github.com/pquochuy/xsleepnet>)

Recorded evaluation configuration: {"Year":"2020","Technique":"CNN & RNN","LP":"LFS","Signals":"EEG"}. This record does not assert independent reproduction.

### TinySleepNet

Macro F1: 78.1. Result ID: 699007573a6c314849fd9554.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

Recorded evaluation configuration: {"Year":"2020","Technique":"CNN & RNN","LP":"LFS","Signals":"EEG"}. This record does not assert independent reproduction.

### RobustSleepNet

Macro F1: 77.9. Result ID: 699007573a6c314849fd9555.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a3d1e209131cea26e5e.md>)

Recorded evaluation configuration: {"Year":"2021","Technique":"RNN","LP":"FT","Signals":"EEG + EOG"}. This record does not assert independent reproduction.

### IITNet

Macro F1: 77.7. Result ID: 698d61778b517eb433211191.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67ac1e209131cea17ae2.md>)

Recorded evaluation configuration: {"Transfer learning":"No"}. This record does not assert independent reproduction.

### Classical ML Pipeline

Macro F1: 77.5. Result ID: 699007573a6c314849fd9556.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Implementation](<https://github.com/predict-idlab/sleep-linear>)

Recorded evaluation configuration: {"Year":"2022","Technique":"Catboost","LP":"LFS","Signals":"EEG + EOG + EMG"}. This record does not assert independent reproduction.

### Classical ML Pipeline

Macro F1: 77.2. Result ID: 699007573a6c314849fd9557.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Implementation](<https://github.com/predict-idlab/sleep-linear>)

Recorded evaluation configuration: {"Year":"2022","Technique":"Catboost","LP":"LFS","Signals":"EEG + EOG"}. This record does not assert independent reproduction.

### Classical ML Pipeline

Macro F1: 77.1. Result ID: 699007573a6c314849fd9558.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Implementation](<https://github.com/predict-idlab/sleep-linear>)

Recorded evaluation configuration: {"Year":"2022","Technique":"Logistic regr.","LP":"LFS","Signals":"EEG + EOG + EMG"}. This record does not assert independent reproduction.

### DeepSleepNet

Macro F1: 76.9. Result ID: 698d61778b517eb433211192.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7d711e209131cea9312c.md>)

[Implementation](<https://github.com/akaraspt/deepsleepnet>)

Recorded evaluation configuration: {"Transfer learning":"No"}. This record does not assert independent reproduction.

### Classical ML Pipeline

Macro F1: 76.8. Result ID: 699007573a6c314849fd9559.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Implementation](<https://github.com/predict-idlab/sleep-linear>)

Recorded evaluation configuration: {"Year":"2022","Technique":"Logistic regr.","LP":"LFS","Signals":"EEG + EOG"}. This record does not assert independent reproduction.

### RobustSleepNet

Macro F1: 76.3. Result ID: 699007573a6c314849fd955a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a3d1e209131cea26e5e.md>)

Recorded evaluation configuration: {"Year":"2021","Technique":"RNN","LP":"LFS","Signals":"EEG + EOG"}. This record does not assert independent reproduction.

### DeepSleepNet-Lite

Macro F1: 75.2. Result ID: 699007573a6c314849fd955b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d711e209131cea39eec.md>)

Recorded evaluation configuration: {"Year":"2021","Technique":"CNN","LP":"LFS","Signals":"EEG"}. This record does not assert independent reproduction.

### SeqSleepNet+

Macro F1: 75.1. Result ID: 698d61778b517eb43321118f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Implementation](<http://github.com/pquochuy/sleep_transfer_learning>)

Recorded evaluation configuration: {"Transfer learning":"Finetuning"}. This record does not assert independent reproduction.

### Sleep Transformer

Macro F1: 74.3. Result ID: 699007573a6c314849fd955c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ba21e209131cea2f70b.md>)

Recorded evaluation configuration: {"Year":"2022","Technique":"transformer","LP":"LFS","Signals":"EEG"}. This record does not assert independent reproduction.

### RobustSleepNet

Macro F1: 73.8. Result ID: 699007573a6c314849fd955d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a3d1e209131cea26e5e.md>)

Recorded evaluation configuration: {"Year":"2021","Technique":"RNN","LP":"DT","Signals":"EEG + EOG"}. This record does not assert independent reproduction.

### SleepEEGNet

Macro F1: 73.6. Result ID: 699007573a6c314849fd955e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e2a1e209131cea3e3e6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5ee81e209131ce9e623f.md>)

Recorded evaluation configuration: {"Year":"2019","Technique":"CNN & RNN","LP":"LFS","Signals":"EEG"}. This record does not assert independent reproduction.

### DeepSleepNet+

Macro F1: 73.4. Result ID: 698d61778b517eb433211190.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Implementation](<http://github.com/pquochuy/sleep_transfer_learning>)

Recorded evaluation configuration: {"Transfer learning":"Finetuning"}. This record does not assert independent reproduction.

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