Cross-Validation with Threshold Optimization

MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,380RM Data Scientist
edited November 2018 inKnowledge Base

In this Building Block we learn a Random Forest and find the best confidence Threshold on a holdout set.

Input: Example Set with Classification Label

Output: Standard X-Validation output

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

  • Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, MemberPosts:1,635Unicorn

    Hi@mschmitz, I am sure I am missing something very simple or obvious here, but how do you import a building block that someone else creates? I tried copying the xml from these but they don't seem to generate a process. And where are these imported building blocks then managed? Thanks!

    Brian T.
    Lindon Ventures
    Data Science Consulting from Certified RapidMiner Experts
  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,380RM Data Scientist

    Hi Brian,

    i think you just need to post it into your .RapidMiner folder.

    ~Martin

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