What are the applications of precision and recall in machine learning?

What are the applications of precision and recall in machine learning?

Precision and recall are crucial for evaluating classification models, especially in imbalanced datasets.

Can you give me examples of where precision and recall are particularly important?

Sure! They are vital in medical diagnosis, spam detection, and information retrieval systems.

How do precision and recall affect model selection?

They help in choosing the right model by balancing false positives and false negatives based on the application.

What is the relationship between precision, recall, and F1 score?

The F1 score is the harmonic mean of precision and recall, providing a single metric to evaluate model performance.