. 2020 Sep 18;20(18):5362. doi: 10.3390/s20185362

Table 1.

Classification performance obtained when classifying the LDV-beat dataset with Random Forest (RF), Decision Tree (DT), K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) classifiers. Classification recall ( $R e c_{i}$ ), precision ( $P r e c_{i}$ ), and f1-score ( $f 1_{i}$ ) are reported for the class beat (i = 1) and no-beat (i = 0).

	Prec		Rec		f1
	Beat	No-Beat	Beat	No-Beat	Beat	No-Beat
RF	0.98	0.93	0.92	0.98	0.93	0.93
DT	0.95	0.94	0.93	0.96	0.93	0.94
KNN	0.97	0.95	0.94	0.98	0.95	0.95
SVM	0.96	0.97	0.96	0.96	0.96	0.98