Data Science & ML
Intermediate
Precision
Of all positive predictions, the fraction that were correct.
Formula
Variables
TPTrue positives
FPFalse positives
Example
TP=80, FP=20: Precision = 0.80
Did You Know?
Precision matters when false positives are costly (e.g., spam filters).