Table 3.

Evaluation metrics used in the analysis.

$Accuracy=\frac{\text{TP}+\text{TN}}{\text{TP}+\text{TN}+\text{FP}+\text{FN }}$	(9)
$Sensitivity=\frac{\text{TP}}{\text{Positive}}$	(10)
$Sensitivity=\frac{\text{TN}}{\text{Negative}}$	(11)
$Precision=\frac{\text{TP}}{\text{TP}+\text{ FP}}$	(12)
$F\_score=\frac{\left(\left(1+bet{a}^2\right)\right)\ast (sensitivity\ast precision))}{(\left(bet{a}^2\right)\ast (precision+sensitivity\left)\right)}$	(13)
$MCC=\frac{\left(TP\ast TN\right)-\left(FP\ast FN\right)}{{\left(\left(TP+FP\right)\ast \left(TP+FN\right)\ast \left(TN+FP\right)\ast \left(TN+FN\right)\right)}^{0.5}}$	(14)
$po=acc;pe=\frac{\left(P\ast \left(TP+FP\right)\right)+\left(N\ast \left(FN+TN\right)\right)}{{\left(TP+TN+FP+FN\right)}^2}$	(15)
$kappa=\frac{po-pe}{1-pe},\frac{pe-po}{1-po}$	(16)
$Kappa=\text{max}\left(kappa\right)$	(17)
$Dice=\frac{(2\ast \text{TP})}{(2\ast \left(\text{TP}+\text{FP}+\text{FN }\right)}$	(18)
$Jaccard=\frac{dice}{2-dice}$	(19)