Random Forest - Attribute Importance

asav_yuasav_yu Member Posts: 15 Contributor II
edited January 8 in Help
I have built a Random Forest model that shows very good accuracy after many test runs so I think I found a winner for my simple problem. I used "Weight by Tree Importance" operator to see which attributes are most important. Customer Income turned out to be most important. 

But how do I know if higher or lower income supports my prediction? With a simple decision tree I can just look at the split and see but how do I do that in a Random Forest?

Apologies for noob question.

Thank you in advance!
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  • varunm1varunm1 Moderator, Member Posts: 918   Unicorn
    Hi @asav_yu

    Did you saw some trees generated by Random forest by connecting model output from apply model to  results? Here you can see how the trees are differentiating.

    Thanks,
    Varun
    Regards,
    Varun
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  • BalazsBaranyBalazsBarany Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 321   Unicorn
    If you don't have access to AutoModel, just try to apply your model on some variants of your data where you have different values for this attribute. You'll then see the effect of increasing and decreasing numbers in the results.
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