Table 1.

Definitions of metrics utilized.

Metrics	Definition
TP	True Positive. Samples predicted to be positive with a positive ground truth label.
FP	False Positive. Samples predicted to be positive with a negative ground truth label.
FN	False Negative. Samples predicted to be negative with a positive ground truth label.
TN	True Negative. Samples predicted to be negative with a negative ground truth label.
Accuracy	$\mathrm{accuracy}=\frac{\mathrm{TP}+\mathrm{TN}}{\mathrm{TP}+\mathrm{TN}+\mathrm{FP}+\mathrm{FN}}$
Precision	$\mathrm{precision}=\frac{\mathrm{TP}}{\mathrm{TP}+\mathrm{FP}}$
Recall	$\mathrm{recall}=\frac{\mathrm{TP}}{\mathrm{TP}+\mathrm{FN}}$
F1 Score	$\mathrm{F}1=\frac{2\ast \mathrm{precision}\ast \mathrm{recall}}{\mathrm{recall}+\mathrm{precision}}$