# Forecasting on 9 respiratory sequences (average)

Source: [Forecasting on 9 respiratory sequences (average)](<https://www.sota2.com/research/sota/forecasting-on-9-respiratory-sequences-average>)

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

Data updated: 2026-02-26T05:49:31.930Z

Evaluation of models performing forecasting tasks on 9 averaged respiratory signal sequences, assessed using metrics like MAE, RMSE, and Jitter.

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 | Forecasting |
| Dataset (including any stated split) | 9 respiratory sequences (average) |
| Metric | MAE (mm) |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 5 of 5 |
| 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

- [MAE (mm)](<https://www.sota2.com/research/sota/forecasting-on-9-respiratory-sequences-average.md?metric=MAE%20(mm)>): Lower is better; unit: SCALAR.

- [RMSE (mm)](<https://www.sota2.com/research/sota/forecasting-on-9-respiratory-sequences-average.md?metric=RMSE%20(mm)>): Lower is better; unit: SCALAR.

- [nRMSE](<https://www.sota2.com/research/sota/forecasting-on-9-respiratory-sequences-average.md?metric=nRMSE>): Lower is better; unit: PERCENT.

- [Max Error (mm)](<https://www.sota2.com/research/sota/forecasting-on-9-respiratory-sequences-average.md?metric=Max%20Error%20(mm)>): Lower is better; unit: SCALAR.

- [Jitter (mm)](<https://www.sota2.com/research/sota/forecasting-on-9-respiratory-sequences-average.md?metric=Jitter%20(mm)>): Lower is better; unit: SCALAR.

## Recorded results

| Method | MAE (mm) | Result date | Report paper |
| --- | --- | --- | --- |
| RNN RTRL | 0.834 | Not recorded | 68fa6e031e209131cea3d6a5 |
| RNN UORO | 0.845 | Not recorded | 68fa6e031e209131cea3d6a5 |
| LMS | 0.957 | Not recorded | 68fa6e031e209131cea3d6a5 |
| No prediction | 3.27 | Not recorded | 68fa6e031e209131cea3d6a5 |
| Lin. regression | 4.45 | Not recorded | 68fa6e031e209131cea3d6a5 |

### RNN RTRL

MAE (mm): 0.834. Result ID: 698fff403a6c314849fd59e7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d6a5.md>)

Recorded evaluation configuration: {"Prediction Horizon":"0.1s - 2.0s"}. This record does not assert independent reproduction.

### RNN UORO

MAE (mm): 0.845. Result ID: 698fff403a6c314849fd59e6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d6a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d6a5.md>)

[Implementation](<https://doi.org/10.5281/zenodo.5506964>)

Recorded evaluation configuration: {"Prediction Horizon":"0.1s - 2.0s"}. This record does not assert independent reproduction.

### LMS

MAE (mm): 0.957. Result ID: 698fff403a6c314849fd59e8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d6a5.md>)

Recorded evaluation configuration: {"Prediction Horizon":"0.1s - 2.0s"}. This record does not assert independent reproduction.

### No prediction

MAE (mm): 3.27. Result ID: 698fff403a6c314849fd59ea.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d6a5.md>)

Recorded evaluation configuration: {"Prediction Horizon":"0.1s - 2.0s"}. This record does not assert independent reproduction.

### Lin. regression

MAE (mm): 4.45. Result ID: 698fff403a6c314849fd59e9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d6a5.md>)

Recorded evaluation configuration: {"Prediction Horizon":"0.1s - 2.0s"}. This record does not assert independent reproduction.

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