AdaBoost (short for "Adaptive Boosting") is a popular boosting classification algorithm. AdaBoost algorithm performs well on a variety of data sets except some noisy data [Freund99].
AdaBoost is a binary classifier. For a multi-class case, use Multi-Class Classifier framework of the library.
For more information on the concepts behind the algorithm, see "Details" section.
For more information on the algorithm's parameters for a specific computation mode and examples of its usage, see "Batch Processing", "Online Processing" and "Distributed Processing" sections.