Class AdaHoeffdingOptionTree

  • All Implemented Interfaces:
    Configurable, Serializable, CapabilitiesHandler, Classifier, MultiClassClassifier, AWTRenderable, Learner<Example<Instance>>, MOAObject, OptionHandler

    public class AdaHoeffdingOptionTree
    extends HoeffdingOptionTree
    Adaptive decision option tree for streaming data with adaptive Naive Bayes classification at leaves. An Adaptive Hoeffding Option Tree is a Hoeffding Option Tree with the following improvement: each leaf stores an estimation of the current error. It uses an EWMA estimator with alpha = .2. The weight of each node in the voting process is proportional to the square of the inverse of the error.

    Example:
    AdaHoeffdingOptionTree -o 50 Parameters:
    • Same parameters as HoeffdingOptionTreeNB
    Version:
    $Revision: 7 $
    Author:
    Albert Bifet (abifet at cs dot waikato dot ac dot nz)
    See Also:
    Serialized Form