Table 8 Binary classification and performance metrics.
Parameter | Formula |
|---|---|
Accuracy | \(Accuracy = \frac{TP + TN}{{TP + TN + FP + FN}} \times 100\) |
Precision | \(\Pr ecision = \frac{TP}{{TP + FP}} \times 100\) |
Recall | \({\text{Re}} call = \frac{TP}{{TP + FN}} \times 100\) |
F1-score | \(F1 - score = \frac{{2 \times \Pr ecision \times {\text{Re}} call}}{{\Pr ecision + {\text{Re}} call}}\) |
Area_Under_ROC (AUROC) | \(TPR = \frac{TP}{{TP + FN}}\) \(FPR = \frac{FP}{{FP + TN}}\) |
