Table 6.

Accuracy, Precision, F1-Score, and Recall obtained by Acharya et al. (2012) and Mumtaz et al. (2016) proposed methods.

Method	Classifiers	Accuracy	Precision	F1 Score	Recall
Acharya et al. (2012)	SVM Linear	50.67 ± 19.05	49.24 ± 23.82	46.67 ± 20.73	50.67 ± 19.05
	SVM Polynomial 1	48.5 ± 11.51	46.49 ± 20.88	41.04 ± 12.04	48.5 ± 11.51
	SVM Polynomial 2	49.83 ± 4.61	44.95 ± 26.64	35.34 ± 5.66	49.83 ± 4.61
	SVM Polynomial 3	49.67 ± 2.33	34.91 ± 21.47	34.01 ± 2.69	49.67 ± 2.33
	SVM RBF	50.17 ± 2.42	37.54 ± 21.67	34.76 ± 3.50	50.17 ± 2.42
Mumtaz et al. (2016)	Logistic Regression	58.00 ± 10.18	60.10 ± 10.64	54.92 ± 12.18	58.00 ± 10.18

The bold values are mean and standard deviation, respectively.