"AdaBoost for multiple classes"

miaquemiaque Member Posts: 4 Contributor I
edited June 6 in Help
Hello,
I have a question - I cannot find the information, if the basic AdaBoost in RapidMiner library is suitable for multiple-classes problems.

Can someone help?
Thank you
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Answers

  • David_ADavid_A Moderator, Employee, RMResearcher, Member Posts: 179  RM Research
    Hi,

    AdaBoost can be used with all learners available in RapidMiner.
    So, for example with a Decision Tree, you can use AdaBoost for multiclass problems.

    Best,
    David
  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,127  RM Data Scientist
    And you can use Polynominal by Binominal Meta operator together with adaboost.

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