TABLE 3.

Evaluation metrics based on positive and negative predictions of a model^a

Evaluation metric	Equation
Error rate	$=\frac{\mathrm{FP}\mathrm{+}\mathrm{FN}}{\mathrm{TP}\mathrm{+}\mathrm{FP}\mathrm{+}\mathrm{TN}\mathrm{+}\mathrm{FN}}$
Accuracy	$=\frac{\mathrm{TP}\mathrm{+}\mathrm{TN}}{\mathrm{TP}\mathrm{+}\mathrm{FP}\mathrm{+}\mathrm{TN}\mathrm{+}\mathrm{FN}}$
Precision	$=\frac{\text{TP}}{\mathrm{TP}\mathrm{+}\mathrm{FP}}$
Recall/Sensitivity	$=\frac{\text{TP}}{\mathrm{TP}\mathrm{+}\mathrm{FN}}$
Specificity	$=\frac{\text{TN}}{\mathrm{TN}\mathrm{+}\mathrm{FP}}$
F1	$=\frac{\text{2}\mathrm{P}\times \mathrm{R}}{(\mathrm{P}+\mathrm{R})}$

^aTP, true positive; FP, false positive; TN, true negative; FN, false negative; P, precision; R, recall.