### IR Precision Precision measures the accuracy of the positive predictions. In the context of content extraction, it indicates the proportion of extracted content that was relevant or correct. High precision means that most of what the model extracted was indeed the content you were looking for, minimizing false positives (irrelevant content mistakenly extracted). **Formula:** Precision=True PositivesTrue Positives+False Positives\text{Precision} = \frac{\text{True Positives}}{\text{True Positives} + \text{False Positives}}Precision=True Positives+False PositivesTrue Positives​