From 81b3cf5d5374a8de84f97e150919312cee177462 Mon Sep 17 00:00:00 2001 From: Yoav Ram Date: Sun, 19 Jun 2016 10:31:26 +0300 Subject: [PATCH] emphasis on "higher return values are better..." --- doc/modules/model_evaluation.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/modules/model_evaluation.rst b/doc/modules/model_evaluation.rst index 3bcf1142e410b..798666bfb6901 100644 --- 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.