A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management

Table 3

The comparison of our answer selection method with baseline methods using different k settings.

Setting	Methods	Accuracy	Precision	Recall	F1
k=5	KNN	0.8052	0.6820	0.5679	0.5746
	GaussianNB	0.7383	0.6980	0.8026	0.6956
	RF	0.8301	0.7339	0.7097	0.7203
	SVM	0.8373	0.7513	0.8029	0.7706
	PPN	0.8842	0.8129	0.8540	0.8305
	Our method	0.9222	0.8859	0.8657	0.8753
k=10	KNN	0.9032	0.8076	0.5258	0.5247
	RF	0.9106	0.7523	0.7277	0.7391
	GaussianNB	0.8956	0.7197	0.7737	0.7422
	SVM	0.9154	0.7642	0.8399	0.7951
	PPN	0.9271	0.7897	0.8633	0.8206
	Our method	0.9651	0.9415	0.8559	0.8929