Hi Anna, You can set shuffle=False (it's set to True by default in the make_classification function). Then, the resulting features will be sorted as follows: X[:, :n_informative + n_redundant + n_repeated]. I.e., if you set “n_features=1000” and “n_informative=20”, the first 20 features will be the informative ones.
Best, Sebastian > On Aug 12, 2020, at 8:35 AM, Anna Jenul <anna.je...@nmbu.no> wrote: > > Hi! > I am generating own datasets with sklearn.datasets.make_classification. > Unfortunately, I cannot figure out which of the generated features are the > informative ones. In my example I generate “n_features=1000” and > “n_informative=20”. Is there any possibility to get the informative features > after the dataset is generated? > Thanks, > Anna > _______________________________________________ > 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
