What does the F1-score measure and when should it be preferred over accuracy?

Question

Machine Learning — Medium

What does the F1-score measure and when should it be preferred over accuracy?

Accepted Answer

The F1-score is the harmonic mean of precision and recall, making it a better metric for imbalanced datasets where accuracy can be misleading. It balances both false positives and false negatives, providing a more accurate representation of model performance.