Table 2 Performance metrics [83]
Metric | Equation |
|---|---|
Accuracy is the percentage of instances (evidence) correctly classified. | \( \frac{TP+ TN}{TP+ TN+ FP+ FN} \) |
Recall is the percentage of instances that were correctly classified as positive. | \( \frac{TP}{TP+ FN} \) |
Precision is the percentage of instances classified as positive (evidence) that are actually positive. | \( \frac{TP}{TP+ FP} \) |
F Measure is the harmonic mean of precision and recall, meaning it combines the precision and recall. | \( \frac{2\ x\ precision\ \mathrm{x}\ recall}{precision+ recall} \) |
Error Rate is the proportion of instances that are incorrectly classified. | \( \frac{FP+ FN}{TP+ FN+ FP+ TN} \) |