Mini toolsDefinition
A balanced measure combining precision and recall into a single metric. Provides a balanced assessment of model performance.
Detailed Explanation
The F1 score is the harmonic mean of precision and recall: 2 * (Precision * Recall) / (Precision + Recall). It provides a single score that balances both precision and recall, particularly useful when an uneven class distribution exists. Values range from 0 to 1, where 1 represents perfect precision and recall.
Use Cases
Common in information retrieval systems, document classification, and any scenario where balance between precision and recall is important.
