What is precision in AI models?

What is precision in AI models?

Precision in AI models refers to the ratio of true positive predictions to the total positive predictions made by the model.

Why is precision important in evaluating AI models?

Precision is crucial because it helps assess the accuracy of the model's positive predictions, reducing false positives.

How does precision differ from recall?

Precision focuses on the accuracy of positive predictions, while recall measures the model's ability to identify all relevant instances.

Can you give an example of precision in a real-world application?

Sure! In email filtering, precision measures how many of the emails marked as spam are actually spam.