Table 2. Evaluation metrics of three learning models from classification tests.

The highest performance values are achieved using filter-bank method.

	SVM			k-NN			Decision trees
	Filter-bank	CCV	DCT	Filter-bank	CCV	DCT	Filter-bank	CCV	DCT
Accuracy [%]	99.03	96.65	94.10	99.01	97.37	95.49	93.45	91.40	83.86
Sensitivity [%]	98.06	93.30	88.19	98.01	94.74	90.98	86.91	82.81	67.72
Specificity [%]	99.35	97.77	96.06	99.31	98.25	96.99	95.64	94.27	89.24
PPV [%]	98.14	93.51	89.18	98.09	94.98	89.26	87.26	83.26	66.31