Re: [scikit-learn] Is scikit-learn implying neural nets are the best regressor?

2019-10-11 Thread Gael Varoquaux
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[scikit-learn] Is scikit-learn implying neural nets are the best regressor?

2019-10-11 Thread Mike Smith
t;> > scikit-learn@python.org <mailto:scikit-learn@python.org> > >> > https://mail.python.org/mailman/listinfo/scikit-learn > >> > > >> > >> ___ > >

[scikit-learn] scikit supervised learning order

2019-10-11 Thread Mike Smith
;> (y_pred_lbfgs==y_pred_saga).all() == False > >> > > >> > > >> > ___ > >> > scikit-learn mailing list > >> > scikit-learn@python.org <mailto:scikit-learn@python.org> > >>

Re: [scikit-learn] logistic regression results are not stable between solvers

2019-10-11 Thread Andreas Mueller
On 10/10/19 1:14 PM, Benoît Presles wrote: Thanks for your answers. On my real data, I do not have so many samples. I have a bit more than 200 samples in total and I also would like to get some results with unpenalized logisitic regression. What do you suggest? Should I switch to the lbfgs