"Multiclass imbalanced (adaboost.m1)"

m_r_nourm_r_nour MemberPosts:35Guru
edited June 2019 inHelp
Hi all

I'm new in rapid miner


How can I use adaboost,m1 to deal with an imbalanced multiclass problem.

I'd appreciate if you help me in this case


问候
REZA
Tagged:

Answers

  • landland RapidMiner Certified Analyst, RapidMiner Certified Expert, MemberPosts:2,531Unicorn
    Hi,
    I will post an example process below, but in general you replace the learner by one of the operators for meta learning. They can be found in Learner/Supervised/Meta in the new Operator tag. Then you decide which inner learner you are going to use, for example a decision stump. You will put this as inner operator of the meta learner. The example process show how this works:






    <操作符名称= " NaiveBayes" class="NaiveBayes">












    Greetings,
    Sebastian
  • m_r_nourm_r_nour MemberPosts:35Guru
    thanks a lot:D
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