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how can I implement Bayesian Boost (k-NN) and Bayesian Boost (Naïve Bayes) on rapidminer ?

faixanfaixan Member Posts: 1 Learner I
in Help
how can I implement Bayesian Boost (k-NN) and Bayesian Boost (Naïve Bayes) on rapidminer ?

Answers

  • ceaperezceaperez Member Posts: 541 Unicorn
    Hi @faixan, 
    The Bayesian boosting operator is a nested operator, i.e, you need to put inside the classifier  model that you want use in you analysis. This operator reweight the training set in each interaction with the information obtained in a previous interaction. 
    You have a good example in the tutorial process but in following image you can see a simple esquematic sample of boosting vs regular process.

    Best

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