"SKEWED gamma like Non-negative pdf modeling= poor learner performance"

fritmorefritmore MemberPosts:90Maven
edited May 2019 inHelp
Hi

I have noticed that if a label attribute has a non negative highly skewed distribution the performance of learners such as Neural net is very poor compared to symmetrical (about zero) pdf problems.

Any way to tweak/bias a learner for such a distribution?

thx
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Answers

  • IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University ProfessorPosts:1,751RM Founder
    Hi,

    maybe it helps if you normalize the label before training and de-normalize the prediction after model application... I am not sure if this helps (not using NN a lot myself...)

    Cheers,
    Ingo
  • fritmorefritmore MemberPosts:90Maven
    Hi Ingo

    hmm

    我使用它有一个参数的神经网络the nn operator to normalize the data, it doesnt really help thoug...
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