MOA_classification_trees | R Documentation |
MOA classification trees
AdaHoeffdingOptionTree(control = NULL, ...) ASHoeffdingTree(control = NULL, ...) DecisionStump(control = NULL, ...) HoeffdingAdaptiveTree(control = NULL, ...) HoeffdingOptionTree(control = NULL, ...) HoeffdingTree(control = NULL, ...) LimAttHoeffdingTree(control = NULL, ...) RandomHoeffdingTree(control = NULL, ...)
control |
an object of class |
... |
options of parameters passed on to |
An object of class MOA_classifier
which sets up an untrained MOA model,
which can be trained using trainMOA
MOAoptions
, trainMOA
ctrl <- MOAoptions(model = "HoeffdingTree", leafprediction = "MC", removePoorAtts = TRUE, binarySplits = TRUE, tieThreshold = 0.20) hdt <- HoeffdingTree(control=ctrl) hdt hdt <- HoeffdingTree(numericEstimator = "GaussianNumericAttributeClassObserver") hdt
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