How Models Learn

Precision

Of the cases a classifier flags as positive, the share that really are: TP / (TP + FP).

Precision is P(actually positive | flagged): TP / (TP + FP).
From Probability and Bayes, step “Why this matters for AI”

See it in action

Try precision hands-on in the lesson Probability and Bayes, part of the The maths behind AI course.

Open the lesson