Table 5.

Prediction outcomes using independent datasets.

Dataset	Method	Classifier	Acc (%)	Sen (%)	Sp (%)	MCC	AUC
AVP105	Hybrid features + BTG	Bagging	76.26	74.57	77.96	0.52	0.91
		ETC	78.07	76.27	79.66	0.55	0.90
		XGB	71.15	79.66	62.71	0.42	0.78
		CatBoost	81.44	79.66	83.05	0.62	0.89
		DNN	96.09	94.83	97.33	0.92	0.98
AVP111	Hybrid features + BTG	Bagging	76.16	85.37	66.73	0.53	0.81
		ETC	75.00	66.67	83.31	0.50	0.82
		XGB	70.83	58.83	83.33	0.43	0.78
		CatBoost	79.16	66.67	91.67	0.60	0.85
		DNN	95.73	95.38	97.77	0.92	0.97