DOC clarified f-beta score docs for beta param
@@ -1081,7 +1081,7 @@ def fbeta_score(y_true, y_pred, beta, labels=None, pos_label=1,
Estimated targets as returned by a classifier.
beta : float
- Weight of precision in harmonic mean.
+ Determines the weight of recall in the combined score.
labels : list, optional
The set of labels to include when ``average != 'binary'``, and their
