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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 0.25

Cut off 0.28

ROC analysis

0.95 CI

0.95 CI

AUC

0.95 CI

Correctly classified

Se

0.97

0.94–0.99

0.97

0.93–0.99

0.991

0.981–1.001

99%

Sp

0.97

0.93–0.99

0.97

0.93–0.99

 

PPV

0.97

0.94–0.99

0.97

0.94–0.99

NPV

0.96

0.93–0.99

0.96

0.92–0.99

FP

6

 

6

 

FN

7

 

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