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Table 10 Cohen’s \(\kappa \) (average ± standard deviation) obtained for each algorithm and source using DeepSleepNet

From: Comparison of deep transfer learning algorithms and transferability measures for wearable sleep staging

 

CiCC

ISRUC

MASS

SHHS

WSC

MrOS

Head Re-train

0.611 ± 0.127

0.432 ± 0.133

0.477 ± 0.133

0.466 ± 0.123

0.432 ± 0.121

0.493 ± 0.140

Subspace alignment

0.446 ± 0.131

0.345 ± 0.135

0.301 ± 0.155

0.293 ± 0.113

0.264 ± 0.119

0.342 ± 0.150

Per-Class CORAL

0.584 ± 0.117

0.393 ± 0.118

0.449 ± 0.127

0.424 ± 0.106

0.391 ± 0.129

0.450 ± 0.137

CORAL

0.586 ± 0.119

0.437 ± 0.127

0.452 ± 0.134

0.431 ± 0.113

0.412 ± 0.107

0.478 ± 0.112

DDC

N/A

N/A

N/A

N/A

N/A

N/A