DOC improve wording of the F1 score as a harmonic mean (#21390)

scalyvladimir · web-flow · commit e34b64c7ac57 · 2021-10-21T14:05:35.000-07:00
diff --git a/sklearn/metrics/_classification.py b/sklearn/metrics/_classification.py
@@ -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::
