DOC Fix typo in model_evaluation.rst
@@ -1737,7 +1737,7 @@ implements several such simple strategies for classification:
set class distribution.
- ``most_frequent`` always predicts the most frequent label in the training set.
- ``prior`` always predicts the class that maximizes the class prior
- (like ``most_frequent`) and ``predict_proba`` returns the class prior.
+ (like ``most_frequent``) and ``predict_proba`` returns the class prior.
- ``uniform`` generates predictions uniformly at random.
- ``constant`` always predicts a constant label that is provided by the user.
A major motivation of this method is F1-scoring, when the positive class
