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moa.OzaBoostAdwin_HoeffdingTree

moa.OzaBoostAdwin_HoeffdingTree

Visibility: public Uploaded 23-04-2014 by Jason Moa_2014.03 201 runs
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  • Verified_Supervised_Data_Stream_Classification
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Moa implementation of OzaBoostAdwin

Components

lmoa.HoeffdingTree(1)baseLearner: Classifier to train.

Parameters

adeltaAdwin: Delta of Adwin change detectiondefault: 0.002
esame: Use Samme Algorithm.default: false
lbaseLearner: Classifier to train.default: trees.HoeffdingTree
ooutputCodes: Use Output Codes to use binary classifiers.default: false
ppureBoost: Boost with weights only; no poisson.default: false
rrandomSeed: Seed for random behaviour of the classifier.default: 1
sensembleSize: The number of models to boost.default: 10

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