Good. I'd suggested a box plot or use of IQR (on a bar chart) on the yellowbrick list. I was assuming that if distribution of feature importances contained many '0's might indeed be worth highlighting as a diagnostic. Cheers, Ian.
On 23 June 2017 at 18:51, Olivier Grisel <olivier.gri...@ensta.org> wrote: > +1 for changing this example to have error bars represent 5 & 95 > percentiles or 25 and 75 percentiles (quartiles). > > Or event bootstrapped confidence intervals or the mean feature > importance for each variable. This might be a bit too verbose for an > example though. > >> Perhaps more importantly - is a visual > indication of the spread of feature importances in an ensemble > actually a useful thing to plot? Does it serve a diagnostic value? > > Yes. Otherwise people might be over-confident in the stability of > those feature importances. > > -- > Olivier > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn -- Ian Ozsvald (Data Scientist, PyDataLondon co-chair) i...@ianozsvald.com http://IanOzsvald.com http://ModelInsight.io http://twitter.com/IanOzsvald _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
