From: Background-foreground segmentation for interior sensing in automotive industry
Name | Formula |
---|---|
Precision | \(\Pr = \frac{TP}{TP+FP}\) |
Recall | \(\operatorname{Re} = \frac{TP}{TP+FN}\) |
Specificity | \(\mathrm{Sp} = \frac{TN}{TN+FP}\) |
Accuracy | \(\mathrm{Acc} = \frac{TP+TN}{TP+TN+FP+FN}\) |
Similarity | \(\mathrm{Sim} = \frac{TP}{TP+FP+FN}\) |
\(F_{1}\)-score | \(F_{1} = \frac{\Pr\cdot \operatorname{Re}}{\Pr +\operatorname{Re}} = \frac{2TP}{2TP+FP+FN} \) |