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

Table 3

Results on the classification of machine learning model.

Model	ACC	AUC	SP	ST
RF	0.841	0.832	0.936	0.728
RF	0.853	0.848	0.905	0.792
Gradient Boosting	0.852	0.843	0.941	0.746
Gradient Boosting	0.864	0.859	0.920	0.798
SVM	0.796	0.792	0.833	0.752
SVM	0.832	0.828	0.865	0.792
AdaBoost	0.839	0.830	0.921	0.740
AdaBoost	0.864	0.858	0.925	0.792
KNeighbors	0.729	0.716	0.852	0.580
KNeighbors	0.736	0.728	0.830	0.625

Models with an asterisk mean that K-means is applied before using these models.