Table IV.

Efficiency of SVM classifier for E-MTAB-4421 and E-MTAB-4451 according to sensitivity, specificity, PPV, NPV and AUROC.

Datasets	Number of samples	Accuracy	Sensitivity	Specificity	PPV	NPV	AUROC
E-MTAB-4421	265	0.966	1	0.845	0.963	1	0.948
E-MTAB-4451	106	0.906	0.946	0.86	0.883	0.935	0.947

PPV, positive predictive value; NPV, negative predictive value; AUROC, area under receiver operating characteristic curve; SVM, support vector machine.