emphasis on "higher return values are better..." (scikit-learn#6909)

Yoav Ram · olologin · commit bac566fd0562 · 2016-08-24T09:33:38.000+03:00
diff --git a/doc/modules/model_evaluation.rst b/doc/modules/model_evaluation.rst
@@ -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.
 
