What is the difference between accuracy and recall in machine learning?

What is the difference between accuracy and recall in machine learning?

Accuracy measures the overall correctness of a model, while recall focuses on the ability to identify positive instances.

Can you give me an example of when recall is more important than accuracy?

Sure! In medical diagnosis, identifying all patients with a disease (high recall) is crucial, even if it means some false positives.

How do I calculate accuracy and recall in Python?

You can use the sklearn library. For accuracy, use accuracy_score(y_true, y_pred), and for recall, use `recall_score(y_true, y_pred).

What are some common metrics used alongside accuracy and recall?

Common metrics include precision, F1 score, and AUC-ROC, which provide a more comprehensive view of model performance.