Metric | Explanation | Formula |
---|---|---|
Accuracy | How often are the model's predictions correct? | (TP + TN) / (TP + TN + FN + FP) |
Precision | When the model predicts positive, how often is it correct? | TP / (TP + FP) |
Sensitivity (Recall) or TPR | When it is actually positive, how often it correctly predicts? | TP / (TP + FN) |
Specificity or TNR | When it is actually negative, how often it correctly predicts? | TN / (TN + FP) |
Balanced accuracy | The mean of sensitivity and specificity | (TPR + TNR) / 2 |
F-Measure | The harmonic mean of precision and sensitivity | 2 × Precision × Recall / (Precision + Recall) |