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moa.StackingAttemptV2_kNNwithPAW

moa.StackingAttemptV2_kNNwithPAW

Visibility: public Uploaded 29-02-2016 by Jan van Rijn Moa_14.11_November_2014 27 runs
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  • Verified_Supervised_Data_Stream_Classification
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Moa implementation of StackingAttemptV2

Components

mmoa.kNNwithPAW(1)metalearner: The meta-learner learning how to weight the votes

Parameters

bbaseClassifiers: The classifiers the ensemble consists of.default: bayes.NaiveBayes,functions.Perceptron,functions.SGD,functions.SPegasos,lazy.kNN,rules.RuleClassifier,trees.HoeffdingAdaptiveTree,trees.HoeffdingTree,trees.HoeffdingOptionTree,trees.RandomHoeffdingTree
ccascade: Also passes on the base-features to the meta-classifierdefault: false
hhardvotes: Uses hard votes instead of probabilities per classifier.default: false
mmetalearner: The meta-learner learning how to weight the votesdefault: trees.HoeffdingTree

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