Output the significant/used predictors from a tree model/random forest/boosted model/SVM

Hi ,

Is there a way i can pull the used predictors in a tabular format from the predictive tools like decision tree / random forest / boosted model and SVM? I understand i need to use a R Script to get the information but cannot proceed further.

Any help will be highly appreciated.

Thanks,

Koyel

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Accepted answers

NickC

Hello,

Sadly there is no easy way to extract these from the tools as they currently are.

However if you right click on the tool and open the macro. Search for the predictor variable interface tool and connect it up to a text input. Add a Macro output and whatever gets selected will now come out of that tool as a separate anchor. Save as a new macro and add to your existing workflow.

Happy to discuss in more detail if needed.

Thanks,

Nick

All comments

NickC

Hello,

Sadly there is no easy way to extract these from the tools as they currently are.

Happy to discuss in more detail if needed.

Thanks,

Nick

yeongjeewei

Hi Nick,

I try to follow your steps but there's an error, kindly advice.

Below are my steps:

1. right click on the predictive tool

2. open macro

3. save as new macro

4. add new macro to existing workflow (right click > insert > Macro)

5. new predictive tool will auto displayed (but when run got error as below)

Linear Regression (39) Tool #107: Cannot find macro ".\Supporting_Macros\Linear_Model_summary.yxmc".
Linear Regression (39) Tool #108: Cannot find macro ".\Supporting_Macros\Linear_Model_ANOVA.yxmc".

Thank you.

Jee

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