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SVM Regression - Output P-values for each attribute

cem_akyuzcem_akyuz Member Posts: 5 Contributor I
edited December 2018 in Help

Hello,

 

I am trying to find a way to add p-values to my Logistic Regression (SVM) models weight table. Is that possible?

 

Best regards,

Cem

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    lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 1,195 Unicorn

    Hi @cem_akyuz,

     

    I don't know if it's possible to add p-values directly with RapidMiner operators in your case, but

    I think it's possible for a "classic" Logistic Regression model using Execute Python operator.

     

    Regards,

    Lionel

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    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,507 RM Data Scientist

    Hi,

     

    i think the normal Logistic Regression should have the p-values. The SVM-Implementation of it is a bit different since it treats LogReg as a special case of SVMs

     

    Best,

    Martin

    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
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