Applied Bionics and Biomechanics / 2017 / Article / Tab 5

Research Article

Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics

Table 5

Features occurrences for classification score higher than 85%.

FeaturesOccurrences, %FeaturesOccurrences, %

VLFn(Fr)50.89Nd4.73
VLF(Fr)50.89M04.73
VLFn(wt)47.93WLF4.73
W1/2VLF34.91IARP3.55
LF/HF(Fr)34.32IC2.96
HR33.73HF(Fr)2.96
SDVLF30.18α2 LF2.96
(LF/HF)max24.26LFn(wt)2.37
LF/HF(wt)18.34SI2.37
(LF/HF)int18.34LFn(Fr)1.78
W1/2LF17.75αmin LF1.78
H13.61ARI1.78
WVLF13.02HFn(Fr)1.78
IAS10.65SDHF1.18
VLF(wt)7.69IAB0.59
RF6.51NN500.59
αmax LF5.92α0 LF0.59
M5.33αmax VLF0.59

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