Table 3:

Summary of classification performance indices including mean values and standard deviations of all 5 SVM models after 10-fold cross validation.

Learning Model	AUC	Accuracy	Sensitivity	Specificity
SVM1	0.596±0.032	0.566±0.033	0.385±0.055	0.735±0.044
SVM2-Stacked	0.717±0.022	0.659±0.030	0.565±0.052	0.747±0.037
SVM3-Stacked	0.734±0.017	0.676±0.041	0.585±0.058	0.761±0.032
SVM2-Pseudo	0.750±0.043	0.699±0.036	0.665±0.064	0.731±0.028
SVM3-Pseudo	0.756±0.042	0.704±0.035	0.676±0.061	0.731±0.028