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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.
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BMC Bioinformatics

ISSN: 1471-2105

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