Sleep Stage Classification on Sleepedf SC
87.86Accuracy (ACC)GamSleepNet
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| GamSleepNetParameters=30.86k2026.07 | 87.86 | 82.62 | 0.839 | 93.46 | 54.07 | 89.18 | 89.42 | 88.44 | |
| SleepycoParameters=2.38M2026.07 | 84.6 | 79 | 0.787 | 93.5 | 50.4 | 86.5 | 80.5 | 84.2 | |
| XSleepNetParameters=3.00M2026.07 | 84 | 77.9 | 0.778 | 93.3 | 49.9 | 86 | 78.7 | 81.8 | |
| Korkalainen et al.Parameters=1.53M2026.07 | 83.7 | — | 0.77 | — | — | — | — | — | |
| TinySleepNetParameters=1.36M2026.07 | 83.1 | 78.1 | 0.77 | 92.8 | 51 | 85.3 | 81.1 | 80.3 | |
| SeqSleepNetParameters=1.28M2026.07 | 82.6 | 76.4 | 0.76 | — | — | — | — | — | |
| SleepTransformerParameters=18.99M2026.07 | 81.4 | 74.3 | 0.743 | 91.7 | 40.4 | 84.3 | 77.9 | 77.2 | |
| U-TimeParameters=1.63M2026.07 | 81.3 | 76.3 | 0.745 | 92 | 51 | 83.5 | 74.6 | 80.2 | |
| SleepEEGNetParameters=2.60M2026.07 | 80 | 73.6 | 0.73 | 91.7 | 44.1 | 82.5 | 73.5 | 76.1 |