Photoplethysmography Biometric Recognition Model Based on Sparse Softmax Vector and k-Nearest Neighbor

Table 4

Average recognition rates based on repeating all experiments five times.

Dataset	Classifier	Average recognition rate (%) based on
		1	2	3	4	5
BIDMC	k-NN	100.0	99.98	99.75	100.0	100.0
	RF	98.77	96.98	97.92	98.21	98.49
	LDC	99.15	98.68	98.58	99.72	98.68
	NB	98.68	97.74	98.76	98.96	99.15
MIMIC	k-NN	96.56	98.81	95.69	96.84	98.13
	RF	92.97	91.56	89.22	94.84	88.91
	LDC	95.31	94.84	93.28	89.69	90.00
	NB	96.25	97.5	98.91	94.38	98.69
CapnoBase	k-NN	100.0	99.9	99.95	100.0	99.76
	RF	97.24	97.9	98.05	98.33	96.43
	LDC	98.24	98.29	97.67	99.24	98.43
	NB	99.52	99.67	99.86	99.81	99.71