Precision vs Recall
/prɪˈsɪʒən vɜːsəs rɪˈkɔːl/
Definition
Precision measures correctness of positive predictions; recall measures how many actual positives were found.
Example in context
"High recall, low precision: we catch all fraudulent transactions but flag too many legitimate ones."
Related terms
Practice this term
Master Precision vs Recall in context by working through exercises in the Data Science & ML module. You'll see the term used in real engineering scenarios with multiple-choice, fill-in-the-blank, and matching drills.