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Table 2 Statistical measures and their formulas used for evaluating the classifiers

From: nRC: non-coding RNA Classifier based on structural features

Statistical measure

Formula

Accuracy

\(\frac {TP + TN}{TP + TN + FP+ FN}\)

Sensitivity

\(\frac {TP}{TP+FP}\)

Specificity

\(\frac {TN}{TN + FP}\)

Precision

\(\frac {TP}{TP + FP}\)

F-score

\(\frac {2*TP}{2*TP + FP + FN}\)

MCC

\(\frac {TP*TN - FP*FN}{\sqrt {(TP + FP)(TP+FN)(TN+FP)(TN+FN)}}\)

  1. TP are true positives, TN are true negatives, FP are false positives, FN are false negatives