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Table 1 Prediction accuracies of the 10-fold cross-validation experiments.

From: MiRTif: a support vector machine-based microRNA target interaction filter

Positive set

Negative set

  

TP

FN

SE (%)

TN

FP

SP (%)

Q (%)

AUC

163

32

83.59

28

10

73.68

81.97

0.86

  1. Prediction accuracies are given in TP (true positive), FN (false negative), TN (true negative), FP (false positive), sensitivity SE = TP/(TP + FN), specificity SP = TN/(TN + FP), overall accuracy Q = (TP + TN)/(TP + FN + TN + FP), and AUC (area under the ROC curve).
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BMC Bioinformatics

ISSN: 1471-2105

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