Table 3.

Parameters of ROC curves for prediction of infectious diseases in training set and testing set.

Data set	Cutoff	ACC	SENS	SPEC	PPV	NPV	pDLR	nDLR	FSCR
Training set	0.50	0.78	0.76	0.80	0.76	0.81	3.85	0.29	0.76
Testing set	0.50	0.77	0.80	0.74	0.75	0.79	3.11	0.27	0.77

ACC, Overall accuracy of classification; SENS, Sensitivity; SPEC, Specificity; PPV, Positive predictive value; NPV, Positive predictive value; pDLR, Positive diagnostic likelihood ratio; nDLR, Negative diagnostic likelihood ratio; FSCR, F-score.