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 b
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
af
