# Sleep Stage Prediction on MESA \[54,58\] → (58,95\] Domain Extrapolation Source: [Sleep Stage Prediction on MESA \[54,58\] → (58,95\] Domain Extrapolation]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:27:42.255Z Evaluation of sleep stage prediction performance using the MESA dataset, specifically focusing on the domain extrapolation split defined by indices \[54,58\] to (58,95\]. Metrics reported include accuracy. 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 stage prediction | | Dataset (including any stated split) | MESA \[54,58\] → (58,95\] Domain Extrapolation | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | CIDA | 82.7 | Not recorded | 68fa68471e209131cea1b07f | | PCIDA | 82.5 | Not recorded | 68fa68471e209131cea1b07f | | ADDA | 80.7 | Not recorded | 68fa68471e209131cea1b07f | | CDANN | 80.4 | Not recorded | 68fa68471e209131cea1b07f | | MDD | 80.3 | Not recorded | 68fa68471e209131cea1b07f | | Source-Only | 80.1 | Not recorded | 68fa68471e209131cea1b07f | | CUA | 80.1 | Not recorded | 68fa68471e209131cea1b07f | | DANN | 79.9 | Not recorded | 68fa68471e209131cea1b07f | ### CIDA Accuracy: 82.7. Result ID: 698d66758b517eb43321365b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### PCIDA Accuracy: 82.5. Result ID: 698d66758b517eb43321365c. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### ADDA Accuracy: 80.7. Result ID: 698d66758b517eb433213656. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### CDANN Accuracy: 80.4. Result ID: 698d66758b517eb433213658. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### MDD Accuracy: 80.3. Result ID: 698d66758b517eb433213659. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Source-Only Accuracy: 80.1. Result ID: 698d66758b517eb433213655. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### CUA Accuracy: 80.1. Result ID: 698d66758b517eb43321365a. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### DANN Accuracy: 79.9. Result ID: 698d66758b517eb433213657. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.