# Sleep Staging on Surrey-cEEGrid EEG-EOG

Source: [Sleep Staging on Surrey-cEEGrid EEG-EOG](<https://www.sota2.com/research/sota/sleep-staging-on-surrey-ceegrid-eeg-eog>)

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

Data updated: 2026-02-26T05:27:41.774Z

Evaluation of sleep stage classification performance using the Surrey-cEEGrid EEG-EOG 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) | Surrey-cEEGrid EEG-EOG |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

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

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

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

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| SeqSleepNet+ | 75.3 | Not recorded | 68fa68311e209131cea1aaab |
| Random Forests | 70 | Not recorded | 68fa68311e209131cea1aaab |
| DeepSleepNet+ | 58.2 | Not recorded | 68fa68311e209131cea1aaab |

### SeqSleepNet+

Accuracy: 75.3. Result ID: 698d61778b517eb433211196.

[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.

### Random Forests

Accuracy: 70. Result ID: 698d61778b517eb433211198.

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

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

### DeepSleepNet+

Accuracy: 58.2. Result ID: 698d61778b517eb433211197.

[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.

Page 1 of 1. This is an index page, not the full collection.