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.
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