Exploration of Digital Health Technologies

Table 1

Performance comparison for different classification methods

Method	AUC	CA	F1	Precision	Recall
Tree	0.925	0.928	0.928	0.928	0.928
SVM	0.992	0.952	0.951	0.955	0.952
Random Forest	0.986	0.950	0.950	0.950	0.950
SAL Network	0.997	0.994	0.994	0.994	0.994
Naive Bayes	0.983	0.934	0.934	0.934	0.934
Logistic Regression	0.927	0.929	0.929	0.929	0.929

AUC: area under the ROC curve; CA: classification accuracy