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Table 1 Accuracy measures and ROC analysis for the ELISA-SVP based on Sp and Se equal criterion

From: Development of diagnostic tools for IBDV detection using plants as bioreactors

 Cut off 0.25Cut off 0.28ROC analysis
0.95 CI0.95 CIAUC0.95 CICorrectly classified
Se0.970.94–0.990.970.93–0.990.9910.981–1.00199%
Sp0.970.93–0.990.970.93–0.99 
PPV0.970.94–0.990.970.94–0.99
NPV0.960.93–0.990.960.92–0.99
FP6 6 
FN7 8 
  1. Se sensitivity, Sp specificity, PPV positive predictive value, NPV negative predictive value, FP false positive, FN false negative, AUC area under the ROC curve, CI confidence interval