SVM Regression - Output P-values for each attribute

cem_akyuzcem_akyuz MemberPosts:5Contributor I
edited December 2018 inHelp

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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Answers

  • lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, MemberPosts:1,195Unicorn

    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 usingExecute Pythonoperator.

    Regards,

    Lionel

  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,388RM 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

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer
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