Table 4B.

Results of supervised learning algorithms on SWELL-KW dataset (K-fold cross validation).

Datasets	Classifiers	Feature	Test-train split	Classification accuracy	Standard deviation	Confidence limits
						Lower	Upper
SWELL-KW dataset	Logistic regression	Heart rate	10-fold cross validation	70.2%	0.002	70.0%	70.4%
	Gaussian Naive Bayes			70.3%	0.002	70.4%	70.5%
	Decision tree			74.8%	0.002	74.6%	75.0%
	Random forest			75.0%	0.003	74.8%	75.2%
	AdaBoost			74.6%	0.003	74.4%	74.8%
	KNN = 2			62.8%	0.002	62.6%	63.0%
	KNN = 5			72.0%	0.003	71.8%	72.2%