LogisticRegression is a already multiclass classifier by default using
the One vs Rest / All strategy by default (as implemented internally
by liblinear which LogisticRegression is a wrapper of). So you don't
need to use OneVsRest in this case.

If you want more info on multiclass reductions here is the doc:
http://scikit-learn.org/stable/modules/multiclass.html

> Is there a way to check how the normalization of the data is performed?

What normalization? There is no normalization unless you do it
yourself with one of those tools and a pipeline:

http://scikit-learn.org/stable/modules/preprocessing.html

-- 
Olivier

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