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F1 Score

AI/ML Fundamentals

Harmonic mean of precision and recall

What is F1 Score?

Balanced metric combining precision and recall. F1 = 2 * (precision * recall) / (precision + recall). Ranges from 0 to 1.

Real-World Examples

  • •Evaluating models with imbalanced classes
  • •F1 = 0.85 indicates good balance of precision/recall

When to Use This

When you need balance between precision and recall

Related Terms

Learn more about concepts related to F1 Score

Precision

Of predicted positives, how many are actually positive

Recall (Sensitivity)

Of actual positives, how many did we find

Accuracy

Percentage of correct predictions