DOC Normalization of linear_model decision_function
@@ -266,8 +266,8 @@ class LinearClassifierMixin(ClassifierMixin):
"""
Predict confidence scores for samples.
- The confidence score for a sample is the signed distance of that
- sample to the hyperplane.
+ The confidence score for a sample is proportional to the signed
+ distance of that sample to the hyperplane.
Parameters
----------
