A Study of Machine-Learning Classifiers for Hypertension Based on Radial Pulse Wave

Table 4

Selected (top 12) features in model.

model	Feature variable	Feature importance
Adaboost	t	0.126
	BMI	0.109
	HR	0.083
	h1/t1	0.066
	Ad	0.057
	w2	0.051
	t2	0.049
	t3	0.049
	w1/t	0.040
	h5	0.034
	h3/h1	0.034
	As	0.034
Gradient Boosting	H20 score	0.128
	BMI	0.075
	t	0.065
	h1/t1	0.055
	t3	0.048
	h5	0.042
	t5	0.042
	Ad	0.041
	t2	0.041
	t1	0.039
	h4	0.039
	w2/t	0.039