Precision vs Sensitivity: What’s the Difference in Data Analysis?
Is precision the same as sensitivity?
No. Precision measures how many predicted positives are correct, while sensitivity (recall) measures how many actual positives are correctly identified.
When building machine learning models, especially for critical applications like medical diagnostics, fraud detection, or missile defense systems, two important metrics often come up: sensitivity (also called recall) and precision.
Although they both measure how well a model performs, they answer different questions. In this article, we’ll break down the difference between sensitivity vs precision, provide formulas, intuitive explanations, and real-world examples so you know when to prioritize one over the other.
