I think it refers to the test folds via the k-fold cross-validation that is internally used via the `cv` parameter of GridSearchCV (or the test folds of an alternative cross validation scheme that you may pass as an iterator to cv)
Best, Sebastian > On Jan 3, 2019, at 9:44 PM, lampahome <pahome.c...@mirlab.org> wrote: > > as title > > In the doc it says: > > best_params_ : dict > Parameter setting that gave the best results on the hold out data. > > My question is what is the hold out data? > It's score of train data or test data, or mean of train and test score? > > thx > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
