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AdaBoost Multiclass Classifier

AdaBoost (short for "Adaptive Boosting") is a popular boosting classification algorithm. The AdaBoost algorithm performs well on a variety of data sets except some noisy data ([Friedman98], [Zhu2005]). The library supports two methods for the algorithms:
  • SAMME, or Stagewise Additive Modeling using a Multi-class Exponential loss function [Zhu2005]
  • SAMME.
    R
    , which is a modification of SAMME method for
    R
    eal-valued returned probabilities from weak learner

Product and Performance Information

1

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