Table 5 Binary classifier evaluation metrics
From: Integrated structure-based protein interface prediction
Precision = \(\frac{TP}{{TP + FP}}\) |
Recall = True Positive Rate (TPR) = \(\frac{TP}{{TP + FN}}\) |
False Positive Rate (TPR) = \(\frac{FP}{{FP + TN}}\) |
F-Score = \(\frac{2*Precision*Recall}{{Precision + Recall}}\) |
MCC = \(\frac{TP*TN - FP*FN}{{\sqrt {\left( {TP + FP} \right)\left( {TP + FN} \right)\left( {TN + FP} \right)\left( {TN + FN} \right)} }}\) |