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Table 2 Classification Matrix for ROC/PR Evaluation

From: Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling

  

predicted

  

positive link

negative link

non-existent link

 

positive link

TP

FP

FN

actual

negative link

FP

TP

FN

 

non-existent link

FP

FP

TN

  1. Mapping of three-class classification problem (no edge present, positive regulation, negative regulation) onto two-class ROC/PR evaluation. TP: True Positive, TN: True Negative, FP: False Positive, FN: False Negative.
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BMC Bioinformatics

ISSN: 1471-2105

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