Recall

Recall is the proportion of actual positive cases that a model correctly identifies. In other words: of all the correct results, how many did I return?

$\text{Recall} = \frac{TP}{TP + FN}$

It's also known as Sensitivity or true positive rate. It's usually considered alongside Precision, and the two are combined in the F1-Score.