Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics

Table 5

Features occurrences for classification score higher than 85%.

Features	Occurrences, %	Features	Occurrences, %
VLFn(Fr)	50.89	Nd	4.73
VLF(Fr)	50.89	M0	4.73
VLFn(wt)	47.93	WLF	4.73
W1/2VLF	34.91	IARP	3.55
LF/HF(Fr)	34.32	IC	2.96
HR	33.73	HF(Fr)	2.96
SDVLF	30.18	α2 LF	2.96
(LF/HF)max	24.26	LFn(wt)	2.37
LF/HF(wt)	18.34	SI	2.37
(LF/HF)int	18.34	LFn(Fr)	1.78
W1/2LF	17.75	αmin LF	1.78
H	13.61	ARI	1.78
WVLF	13.02	HFn(Fr)	1.78
IAS	10.65	SDHF	1.18
VLF(wt)	7.69	IAB	0.59
RF	6.51	NN50	0.59
αmax LF	5.92	α0 LF	0.59
M	5.33	αmax VLF	0.59