Table 5.

Classification results of different ensemble methods

Models	AUC	ACC (%)	SEN (%)	SPEC (%)	Precision (%)	Recall (%)	F1 (%)
Feature-Ensemble	0.8247	76.00	87.50	55.56	77.78	87.50	82.35
Decision-Ensemble-UA	0.8837	82.00	84.38	77.78	87.10	84.38	85.71
Decision-Ensemble-WA(0.3)	0.8490	80.00	81.25	77.78	86.67	81.25	83.87
Decision-Ensemble-WA(0.7)	0.8559	74.00	75.00	72.22	82.76	75.00	78.69