Evaluation of Stream Mining Classifiers for Real-Time Clinical Decision Support System: A Case Study of Blood Glucose Prediction in Diabetes Therapy

Table 7

Numeric results of AUCs of the classifiers.

Classifier	VFDT	iOVFDT	Bayes	Perceptron
Precision	0.894	0.892	0.938*	0.827
Recall	0.991*	0.985	0.953	0.245
𝐹-measure	0.940	0.936	0.945*	0.436

∗Refers to a winning classifier that has the highest performance.