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Table 2 Evaluation measures employed in this study.

From: Predicting microRNA precursors with a generalized Gaussian components based density estimation algorithm

Measure

Abbreviation

Equation

Sensitivity (recall)

%SE

TP/(TP+FN)

Specificity

%SP

TN/(TN+FP)

Accuracy

%ACC

(TP+TN)/(TP+TN+FP+FN)

F-measure

%Fm

2TP/(2TP+FP+FN)

Matthews' correlation coefficient

%MCC

(TP × TN-FP × FN)/sqrt((TP+FP) × (TN+FN) × (TP+FN) × (TN+FP))

  1. The definition of the abbreviations used: TP is the number of real pre-miRNAs detected; FN is the number of real pre-miRNAs missed; TN is the number of pseudo hairpins correctly classified; and FN is the number of pseudo hairpins incorrectly classified as pre-miRNA.
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BMC Bioinformatics

ISSN: 1471-2105

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