DOC Normalization of linear_model decision_function (#19142)

stootoon · jeremiedbb · commit b188f946f25c · 2021-01-19T11:28:01.000+01:00
diff --git a/sklearn/linear_model/_base.py b/sklearn/linear_model/_base.py
@@ -264,8 +264,8 @@ def decision_function(self, X):
         """
         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
         ----------
