The metric that measures the proportion of positive predictions that are actually correct is called ________.
- Differential Privacy / DP
- Container / Image
- Precision
- Fairness
Answer: Precision
Precision = TP / (TP + FP). Critical for imbalanced classification tasks where false positives are costly (fraud detection, medical diagnosis). Complements recall for comprehensive evaluation.