Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion

Table 6

Experimental results of ML-kNN on Six datasets.

Dataset type	Inspection	Tongue	Inquiry	Palpation	Others	Fusional
Average precision	0.80	0.77	0.79	0.78	0.77	0.81
Coverage	0.42	0.40	0.41	0.42	0.39	0.44
Hamming loss	−0.13	−0.13	−0.13	−0.13	−0.13	−0.14
macroF1 measure	0.01	0.01	0.00	0.00	0.00	0.01
microF1 measure	0.01	0.01	0.00	0.00	0.01	0.01
One error	−0.34	−0.38	−0.35	−0.38	−0.38	−0.32
Ranking loss	−0.28	−0.31	−0.29	−0.29	−0.32	−0.25