Table 3 Prediction accuracies, sensitivities, specificities, AUC values and Matthew's correlation coefficients (MCC) compared between methods (based on COBR dataset)
Tool | Accuracy | Sensitivity | Specificity | AUC | MCC |
|---|---|---|---|---|---|
CHASM | 50% | 0% | 100% | 0.36 | 0.08 |
MutationAssessor | 70% | 91% | 50% | 0.74 | 0.46 |
Condel | 66% | 66% | 66% | 0.68 | 0.33 |
PolyPhen-2 | 65% | 63% | 66% | 0.63 | 0.30 |
SIFT | 64% | 73% | 55% | 0.63 | 0.29 |
SNAP | 62% | 45% | 78% | 0.59 | 0.26 |
mCluster | 50% | 0% | 100% | 0.46 | 0 |
logRE | 54% | 44% | 64% | 0.53 | 0.08 |