# Medical Time Series Classification on SleepEDF 5-Classes

Source: [Medical Time Series Classification on SleepEDF 5-Classes](<https://www.sota2.com/research/sota/medical-time-series-classification-on-sleepedf-5-classes>)

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

Data updated: 2026-05-04T08:30:58.783Z

Evaluation of Medical Time Series Classification performance on the 5-class configuration of the SleepEDF dataset, reporting Accuracy, Precision, Recall, F1-score, and AUROC.

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 | Medical Time Series Classification |
| Dataset (including any stated split) | SleepEDF 5-Classes |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 12 of 12 |
| 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/medical-time-series-classification-on-sleepedf-5-classes.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/medical-time-series-classification-on-sleepedf-5-classes.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/medical-time-series-classification-on-sleepedf-5-classes.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1-score](<https://www.sota2.com/research/sota/medical-time-series-classification-on-sleepedf-5-classes.md?metric=F1-score>): Higher is better; unit: PERCENT.

- [AUROC](<https://www.sota2.com/research/sota/medical-time-series-classification-on-sleepedf-5-classes.md?metric=AUROC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| TS-Fingerprint | 84.18 | Not recorded | 69f82806c0f56ed8430889b3 |
| Medformer | 84.05 | Not recorded | 69f82806c0f56ed8430889b3 |
| MTST | 82.4 | Not recorded | 69f82806c0f56ed8430889b3 |
| iTransformer | 81.68 | Not recorded | 69f82806c0f56ed8430889b3 |
| PatchTST | 81.35 | Not recorded | 69f82806c0f56ed8430889b3 |
| Crossformer | 80.76 | Not recorded | 69f82806c0f56ed8430889b3 |
| Nonformer | 75.51 | Not recorded | 69f82806c0f56ed8430889b3 |
| Informer | 73.6 | Not recorded | 69f82806c0f56ed8430889b3 |
| Reformer | 72.99 | Not recorded | 69f82806c0f56ed8430889b3 |
| Transformer | 70.3 | Not recorded | 69f82806c0f56ed8430889b3 |
| FEDformer | 69.16 | Not recorded | 69f82806c0f56ed8430889b3 |
| Autoformer | 68.78 | Not recorded | 69f82806c0f56ed8430889b3 |

### TS-Fingerprint

Accuracy: 84.18. Result ID: 69f8592847f34ce924dc0d3c.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Medformer

Accuracy: 84.05. Result ID: 69f8592847f34ce924dc0d3b.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75521e209131cea6727f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### MTST

Accuracy: 82.4. Result ID: 69f8592847f34ce924dc0d36.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa729f1e209131cea5799b.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### iTransformer

Accuracy: 81.68. Result ID: 69f8592847f34ce924dc0d35.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72851e209131cea56f9c.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### PatchTST

Accuracy: 81.35. Result ID: 69f8592847f34ce924dc0d38.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6eb21e209131cea4181f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Crossformer

Accuracy: 80.76. Result ID: 69f8592847f34ce924dc0d32.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Nonformer

Accuracy: 75.51. Result ID: 69f8592847f34ce924dc0d37.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa713e1e209131cea50092.md>)

[Implementation](<https://github.com/thuml/Nonstationary_Transformers>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Informer

Accuracy: 73.6. Result ID: 69f8592847f34ce924dc0d34.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa699f1e209131cea23263.md>)

[Implementation](<https://github.com/zhouhaoyi/Informer2020>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Reformer

Accuracy: 72.99. Result ID: 69f8592847f34ce924dc0d39.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa671b1e209131cea143ed.md>)

[Implementation](<https://github.com/google/trax/tree/master/trax/models/reformer>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Transformer

Accuracy: 70.3. Result ID: 69f8592847f34ce924dc0d3a.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa703d1e209131cea49db1.md>)

[Implementation](<https://github.com/tensorflow/tensor2tensor>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### FEDformer

Accuracy: 69.16. Result ID: 69f8592847f34ce924dc0d33.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cbf1e209131cea35c29.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Autoformer

Accuracy: 68.78. Result ID: 69f8592847f34ce924dc0d31.

[Reporting paper](<https://www.sota2.com/research/paper/69f82806c0f56ed8430889b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b9a1e209131cea2f3a3.md>)

[Implementation](<https://github.com/thuml/Autoformer>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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