Table 4. Binary classification of each of four disease classes versus a combined class of the remaining three.

Classes	AUC	Sensitivity@	Specificity@	Accuracy@	Model size
		90% speca	90% sensb	speca = sensb	(k)
T. cruzi vs.	0.97	92%	94%	92%	50
Other	(0.96–0.98)	(90%-94%)	(90%-96%)	(90%-92%)
HBV vs.	0.94	85%	85%	87%	16000
Other	(0.93–0.95)	(78%-90%)	(78%-90%)	(85%-90%)
HCV vs.	0.96	90%	91%	90%	100
Other	(0.94–0.97)	(86%-94%)	(82%-96%)	(88%-93%)
WNV vs.	0.96	87%	88%	89%	1000
Other	(0.95–0.97)	(78%-94%)	(84%-92%)	(86%-91%)

^aspec, specificity

^bsens, sensitivity