Table 5.

Results of conventional machine learning methods.

Method	Sleep		Fatigue
	Accuracy (%)	AUROC	Accuracy (%)	AUROC
AdaBoost - Decision Stump	62.07	0.63	46.64	0.55
AdaBoost - Random Forest	59.97	0.65	51.24	0.55
K-Nearest Neighbor	60.55	0.55	51.88	0.53
Weighted K-Nearest Neighbor	65.27	0.62	68.05	0.51
Neural Network	63.47	0.64	54.80	0.59
Random Forest	63.32	0.63	52.46	0.57
Support Vector Machine	64.47	0.50	55.94	0.50
LUCCK	66.95	0.66	87.59	0.68