"multiple learners in AdaBoost"

Elisa0815
Elisa0815 New Altair Community Member
edited November 5 in Community Q&A
I have a question about the AdaBoost operator.

As I understood AdaBoost in several literature, AdaBoost uses, for every iteration, another simple base classifier for classification. But in RapidMiner Studio, only one learner can be chosen for AdaBoost.

Did I may understand AdaBoost wrong? Why can only one learner be chosen? That doesn't fit to my understanding of AdaBoost and confuses me.  ???

Would be great, if anyone could may help.

Greets
Elisa
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Answers

  • MartinLiebig
    MartinLiebig
    Altair Employee
    Well, it is another instance of the same base learner.

    So you always train e.g. a Decision tree but on differently weighted data. So the result are different decision trees.

    ~Martin

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