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Table 2 AUC results obtained by our approach with different values of the parameters n and $\gamma$.

From: Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach

n

γ

 

0.5

0.6

0.7

0.8

0.9

5,000

0.582

0.599

0.614

0.629

0.647

10,000

0.585

0.601

0.616

0.634

0.649

15,000

0.579

0.594

0.601

0.625

0.640