It is calculated from true positives divided by true positives plus false positives. Raising a decision threshold often improves precision while reducing recall, so the operating point matters.
Precision is the fraction of predicted positive cases that are actually positive under the reference labels.
It is calculated from true positives divided by true positives plus false positives. Raising a decision threshold often improves precision while reducing recall, so the operating point matters.