Gradient Boosted Trees: get full list of feature importances

phivu

Hi RapidMiner,

 

I'm using Gradient Boosted Trees (GBT) for a binary classifier with ~ 500 features, the result is good but I also want to see a full list of feature/variable importances instead of only 10 in the output model description (as in the screenshot attached). I noticed there's a similar question last year: http://community.rapidminer.com/t5/Product-Ideas/Gradient-Boosted-Trees-extract-feature-importance/idi-p/33066

 

Is it possible to do this in the current RM 7.5.001? Or do you have any idea of how to get this from the output GBT model? If you want my process and data to check, let me know and I will send it individually to you.

 

Thank you very much for your help!

 

P/S: I'm using a licenced version of RM Studio Large under my company account: chungsd@stee.stengg.com 

 

Best,

phivu

 

GBT-output-model-description

MartinLiebig

Dear phivu,

 

This is being handled in 7.4 i think. The GBT has now a port called wei. This contains the very same list as a rapidminer weight object. That can be used to select attributes using Select by Weights or be transformed into an example set using weights to data.

 

Best,

Martin