Imbalanced Data Sets - SMOTE, "Balanced" etc

@Nyd3r wrote:

Please help with understanding …

1- in logistic regression when applying python sklearn option “balanced” (link below), does this option automatically weight the different classes to make them balanced ?

2-If the first option balanced the classes, do I need to use techniques like SMOTE etc… ?

3-If I use a technique like XGBoost do I need to balance my classes ?

Thank you

http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html

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