NotesByLex

Precision

Metrics

Precision is a measure of how many results returned are correct.

Precision=TPTP+FP\text{Precision} = \frac{TP}{TP + FP}

where TPTP is the number of true positives and FPFP is the number of false positives.

It's usually paired with Recall, and the two are combined in the F1-Score. See also Confusion Matrix.