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Updated documentation for scoring parameter #8346

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Feb 13, 2017
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Updated documentation for scoring parameter #8346

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2 changes: 1 addition & 1 deletion sklearn/linear_model/logistic.py
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Expand Up @@ -1377,7 +1377,7 @@ class LogisticRegressionCV(LogisticRegression, BaseEstimator,
a scorer callable object / function with signature
``scorer(estimator, X, y)``. For a list of scoring functions
that can be used, look at :mod:`sklearn.metrics`. The
default scoring option used is accuracy_score.
default scoring option used is 'accuracy'.


solver : {'newton-cg', 'lbfgs', 'liblinear', 'sag'}
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