DOC VotingClassifier example weights incorrect
@@ -14,8 +14,8 @@ First, three exemplary classifiers are initialized (`DecisionTreeClassifier`,
`KNeighborsClassifier`, and `SVC`) and used to initialize a
soft-voting `VotingClassifier` with weights `[2, 1, 2]`, which means that
the predicted probabilities of the `DecisionTreeClassifier` and `SVC`
-count 5 times as much as the weights of the `KNeighborsClassifier` classifier
-when the averaged probability is calculated.
+each count 2 times as much as the weights of the `KNeighborsClassifier`
+classifier when the averaged probability is calculated.
"""
print(__doc__)
