Table 11 Accuracy, \(\kappa \), and % of cases where each algorithm outperformed others when using DeepSleepNet
Algorithm | Average ± standard deviation % accuracy | Average ± standard deviation Cohen’s \(\kappa \) | % of cases where algorithm was best |
|---|---|---|---|
Head Re-train | 63.7 ± 4.2 | 0.637 ± 0.144 | 63.9 |
Subspace alignment | 54.5 ± 3.6 | 0.545 ± 0.147 | 1.4 |
Per-Class CORAL | 61.3 ± 4.6 | 0.613 ± 0.139 | 13.2 |
CORAL | 62.5 ± 3.9 | 0.625 ± 0.132 | 19.4 |
DDC | N/A | N/A | N/A |