Table 1.

Metrics are used to evaluate the different classifiers and their corresponding equation. Where TP, FP, TN, and FN are True Positive, False Positive, True Negative, and False Positive, respectively. $P_o$ is the probability of Observed agreement, and $P_c$ is the probability of chance agreement. MCC is the Matthews correlation coefficient.

Metric	Equation
Precision	$\frac{TP}{TP+FP}$
Recall	$\frac{TP}{TP+FN}$
F1-score	$\frac{2\times (Precision\times Recall)}{Precision+Recall}$
MCC	$\frac{TP\times TN–FP\times FN}{\sqrt{(TP+FP)(TP+FN)(TN+FP)(TN+FN)}}$
BA	$\left(\frac{TP}{(TP+FN)}/\frac{TN}{(TN+FP)}\right)/2$