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2 changes: 1 addition & 1 deletion sklearn/metrics/_classification.py
Original file line number Diff line number Diff line change
Expand Up @@ -991,7 +991,7 @@ def f1_score(
):
"""Compute the F1 score, also known as balanced F-score or F-measure.

The F1 score can be interpreted as a weighted average of the precision and
The F1 score can be interpreted as a harmonic mean of the precision and
recall, where an F1 score reaches its best value at 1 and worst score at 0.
The relative contribution of precision and recall to the F1 score are
equal. The formula for the F1 score is::
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