Table 3. MLP, RBF neural networks and linear SVM (), SVM with polynomial kernel () and SVM with RBF kernel () classifications using the top 5, top 10 and top 15 features selected via KS-test of the HRV records from normal (N) and cardiovascular risk (R) subjects.

#Features	Classifier		Se (%)	Sp (%)	Np (%)	Pp (%)	Ac (%)
5	MLP*	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	93.33	100.00	93.75	100.00	96.67
	RBFNN*	Training set	96.67	100.00	96.67	100.00	98.33
		Test set	85.71	93.33	87.50	92.31	89.66
	SVM (Linear)	Training set	71.88	75.00	70.00	76.67	73.33
		Test set	72.73	72.73	72.73	72.73	72.73
	SVM (Polynomial kernel)	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	84.09	70.45	81.58	74.00	80.00
	SVM (RBF kernel)	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	74.24	78.79	75.36	77.78	76.52
10	MLP*	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	86.67	80.00	85.71	81.25	83.33
	RBFNN	Training set	96.67	90.00	96.43	90.63	93.33
		Test set	60.00	100.00	71.43	100.00	80.00
	SVM (Linear)	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	86.36	77.27	85.00	79.17	81.82
	SVM (Polynomial kernel)	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	86.36	75.00	84.62	77.55	80.68
	SVM (RBF kernel)*	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	96.97	81.82	96.43	84.21	89.39
15	MLP*	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	73.33	100.00	78.95	100.00	86.67
	RBFNN	Training set	83.33	83.33	83.33	83.33	83.33
		Test set	60.00	100.00	72.43	100.00	80.00
	SVM (Linear)	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	77.27	77.27	77.27	77.27	77.27
	SVM (Polynomial kernel)	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	90.91	70.45	88.57	75.47	80.68
	SVM (RBF kernel)*	Training set	100.00	100.00	100.00	100.00	100.00
		Test set	93.94	77.27	92.73	80.52	85.61

*Classifiers that presented the higher performances on each experiment.