Table 2.

Statistical measures and their formulas used for evaluating the classifiers

Statistical measure	Formula
Accuracy	$\frac{\mathit{\text{TP}}+\mathit{\text{TN}}}{\mathit{\text{TP}}+\mathit{\text{TN}}+\mathit{\text{FP}}+\mathit{\text{FN}}}$
Sensitivity	$\frac{\mathit{\text{TP}}}{\mathit{\text{TP}}+\mathit{\text{FP}}}$
Specificity	$\frac{\mathit{\text{TN}}}{\mathit{\text{TN}}+\mathit{\text{FP}}}$
Precision	$\frac{\mathit{\text{TP}}}{\mathit{\text{TP}}+\mathit{\text{FP}}}$
F-score	$\frac{2\ast \mathit{\text{TP}}}{2\ast \mathit{\text{TP}}+\mathit{\text{FP}}+\mathit{\text{FN}}}$
MCC	$\frac{\mathit{\text{TP}}\ast \mathit{\text{TN}}-\mathit{\text{FP}}\ast \mathit{\text{FN}}}{\sqrt{(\mathit{\text{TP}}+\mathit{\text{FP}})(\mathit{\text{TP}}+\mathit{\text{FN}})(\mathit{\text{TN}}+\mathit{\text{FP}})(\mathit{\text{TN}}+\mathit{\text{FN}})}}$

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