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Table 2 Averaged AUCs for cross-validation measurements on balanced samples using MLNs

From: Learning a Markov Logic network for supervised gene regulatory network inference

  MLN
λ AUC-ROC AUC-PR
20 80.8 ± 6.1 82.7 ± 5.4
50 84.3 ± 3.5 85.5 ± 4.0
100 84.4±2.8 86.2±3.2
500 83.4 ± 2.7 86.0 ± 2.7
750 83.3 ± 2.8 85.8 ± 2.8
  1. The table reports the averaged AUC values and standard deviations obtained with MLNs for thirty ten folds cross-validation experiments conducted on a regulatory network between the genes in G A . The results are reported for different values of the regularization parameter λ.