Table 1.

The sensitivity and specificity in predicting functional surfaces of metalloendopeptidase enzymes. The prediction sensitivity is calculated as $\frac{\mathit{\text{TP}}}{\mathit{\text{TP}}+\mathit{\text{FN}}}$, and specificity as $\frac{\mathit{\text{TN}}}{\mathit{\text{TN}}+\mathit{\text{FP}}}$, where TP represents true positive, FN false negative, TN true negative, and FP false positive.

Class	Sensitivity	Specificty
Bontoxilysin	0.96	0.94
Ser-protease	0.89	0.92
Astacin	0.91	0.87
Thermolysin	0.94	0.90
Pep-lys-mep	0.92	0.89
Reprolysin	0.94	0.91
MMP	0.95	0.89
Overall	0.93	0.89