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Fix LogisticRegressionCV default solver value in docstring (scikit-learn#9962)
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sklearn/linear_model/logistic.py

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@@ -1415,7 +1415,7 @@ class LogisticRegressionCV(LogisticRegression, BaseEstimator,
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default scoring option used is 'accuracy'.
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solver : {'newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga'},
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default: 'liblinear'
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default: 'lbfgs'
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Algorithm to use in the optimization problem.
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- For small datasets, 'liblinear' is a good choice, whereas 'sag' and

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