Random Forest Evaluating Attribute usage


im trying to evaluate attribute usage to find out whether my attributes really support the predictions.
I found this workflow using the XG Boost Linear Ensemble and I dont get how it is working and how I can rebuild it. I also didnt find anything in the Hub. Can anyone explain?

Thanks in advance

The snippet from the workflow is most likely from this blog entry and a newer version is on the hub.

Seven Techniques for Data Dimensionality Reduction


would give you informations about the importance of features.


This topic was automatically closed 7 days after the last reply. New replies are no longer allowed.