Table 4.

Performance of the support vector machine (SVM) classifier for the differential diagnosis of rhabdomyosarcoma (RMS) and yolk sac tumors (YSTs).

Model	AUC (95% Cl)		Accuracy		Sensitivity		Specificity
	Training set	Test set	Training set	Test set	Training set	Test set	Training set	Test set
NP	0.855	0.700	0.882	0.778	0.927	0.750	0.841	0.800
	(0.762, 0.922)	(0.328, 0.940)
AP	0.973	0.800	0.953	0.778	1.0	1.0	0.909	0.600
	(0.913, 0.996)	(0.422, 0.979)
VP	0.855	0.750	0.788	0.889	0.732	0.750	0.841	1.0
	(0.762, 0.922)	(0.373, 0.962)