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Table 2 Comparison of AUROC values on Macrophage data

From: Constructing non-stationary Dynamic Bayesian Networks with a flexible lag choosing mechanism

 

CMV

IFN γ

CMV + IFN γ

RJnsDBNs

1

0.7778

0.2222

ASnsDBNs

1

0.6667

0.6667

FLnsDBNs

1

0.8333

1

  1. TP, true positive; FP, false positive; TN, true negative; FN, false negative.
  2. Sensitivity = TP/(TP+FN).
  3. Specificity = TN/(TN+FP)
  4. Complementary Specificity = 1- Specificity = FP/(TN+FP). The ROC curves are plotted with the Sensitivity scores against the corresponding Complementary Specificity scores.