A Framework of Rebalancing Imbalanced Healthcare Data for Rare Events’ Classification: A Case of Look-Alike Sound-Alike Mix-Up Incident Detection

Table 4

Performance of conventional classifiers.

	LR	L.SVM	DT	R.SVM
Recall	0.521	0.479	0.375	0.396
Precision	0.694	0.767	0.750	0.792
F-score	0.595	0.590	0.500	0.528
Accuracy	0.850	0.859	0.841	0.850