Precision vs. Recall vs. F1 Score: Which Metric Should You Use?

Precision quantifies the accuracy of positive predictions, recall measures the ability to find all actual positives, and the F1 score balances these two metrics. This guide clarifies their definitions, operational boundaries, and practical use in evaluating AI model performance.