Table 1.

Feature selection methods and classifiers for the top ten models

Classifier	Feature selection method	AUC	ACC	Sensitivity	Specificity
Logistic	gini-index	0.797	0.722	0.758	0.693
Logistic	ll-l21	0.763	0.681	0.716	0.653
Bagging	CIFE	0.764	0.671	0.636	0.707
Logistic	reliefF	0.759	0.662	0.676	0.655
Bagging	MRMR	0.743	0.662	0.616	0.729
Bagging	MIFS	0.742	0.670	0.656	0.673
Adaboosting	f-score	0.740	0.671	0.756	0.593
SVM	MRMR	0.739	0.712	0.733	0.695
SVM	CIFE	0.734	0.692	0.713	0.676
SVM	MIFS	0.734	0.712	0.733	0.695