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

Table 6

Numeric results of AUCs of the classifiers.

Test result; Variable(s)	Area	Std. error^a	Asymptotic sig.^b	Asymptotic 95% confidence interval
				Lower bound	Upper bound
VFDT	0.752	0.007	0	0.739	0.765
iOVFDT	0.745	0.007	0	0.732	0.758
Bayes	0.847	0.005	0	0.836	0.858
Perceptron	0.508	0.007	0.228	0.495	0.521

The test result variable(s): VFDT, iOVFDT, Bayes, and Perceptron has at least one tie between the positive actual state group and the negative actual state group. Statistics may be biased.
aUnder the nonparametric assumption.
bNull hypothesis: true area = 0.5.