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[MRG+1] DOC Emphasis on "higher return values are better..." #6909

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4 changes: 2 additions & 2 deletions doc/modules/model_evaluation.rst
Original file line number Diff line number Diff line change
Expand Up @@ -48,8 +48,8 @@ Common cases: predefined values

For the most common use cases, you can designate a scorer object with the
``scoring`` parameter; the table below shows all possible values.
All scorer objects follow the convention that higher return values are better
than lower return values. Thus the returns from mean_absolute_error
All scorer objects follow the convention that **higher return values are better
than lower return values**. Thus the returns from mean_absolute_error
and mean_squared_error, which measure the distance between the model
and the data, are negated.

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