Recognition of the Impulse of Love at First Sight Based on Electrocardiograph Signal

Table 3

Classification performance of the five classifiers without feature selection.

Classifier	Se	Sp	F1	AUC	ACC
SVM	0.7103	0.5305	0.6512	0.6209	0.6221
RF	0.6984	0.6186	0.6717	0.6616	0.6604
NB	0.5	0.6363	0.5513	0.6017	0.5988
KNN	0.5949	0.6363	0.6037	0.62	0.6128
DT	0.6001	0.6037	0.5977	0.6122	0.6011

SVM: support vector machine; RF: random forest; NB: naive bayes; KNN: K-nearest neighbor; DT: decision tree.