Algorithm
Precision Score
Description
Precision, or Positive Predictive Value, measures the proportion of positive identifications that were
actually correct. It answers the question: 'Of all the classes we predicted as positive, how many were
actually positive?' High precision relates to the low false positive rate.
$$ \text{Precision} = \frac{TP}{TP + FP} $$
Use Cases
Fraud Detection (Minimize False Positives)