What is the difference between F1 Score and Accuracy?

What is the difference between F1 Score and Accuracy?

F1 Score is a measure of a model's accuracy that considers both precision and recall, while accuracy simply measures the overall correctness.

When should I use F1 Score instead of Accuracy?

Use F1 Score when you have imbalanced classes, as it provides a better measure of the minority class performance.

Can you give an example of when F1 Score is more useful?

Sure! In a medical diagnosis scenario, if a test identifies a rare disease, F1 Score helps evaluate how well the test identifies true positives.

What are the limitations of using F1 Score?

F1 Score can be misleading if the class distribution is highly imbalanced, as it may not reflect the overall performance.