F1-Score

machine-learning classification statistics

Definition

F1-Score

The F1-score is the harmonic mean of Precision and Recall. It provides a single metric that balances both concerns, particularly useful in the presence of class imbalance. Formally:

$$F_1=2\cdot \frac{\text{Precision}\cdot \text{Recall}}{\text{Precision}+\text{Recall}}$$