F1 Score

What is the F1 Score?

The F1-score is a metric used to evaluate a machine learning model. It can be seen as a way to quantify the overall performance of a model.

The F1-score is the harmonic mean of the Precision and Recall scores.

F_1 = 2\frac{Precision * Recall}{Precision + Recall}

Related Terms

• Recall
• Precision
• Accuracy