Table 3.

Performances of the supervised algorithms using raw data.

	Accuracy ± std	F-measure	Recall	Precision	Specificity
k-NN (%)	96.53 ± 0.20	94.60	94.57	94.62	99.67
RF (%)	94.89 ± 0.57	82.87	82.28	83.46	99.43
SVM (%)	94.22 ± 0.28	90.66	90.98	90.33	99.56
SLGMM (%)	84.54 ± 0.30	69.94	69.99	69.88	98.39