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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.