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moa.AccuracyWeightedEnsemble_WEKAClassifier

moa.AccuracyWeightedEnsemble_WEKAClassifier

Visibility: public Uploaded 05-10-2016 by Jan van Rijn Moa__16.04_April_2016 664 runs
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Moa implementation of AccuracyWeightedEnsemble

Components

lmoa.WEKAClassifier(2)learner: Classifier to train.

Parameters

cchunkSize: The chunk size used for classifier creation and evaluation.default: 500
fnumFolds: Number of cross-validation folds for candidate classifier testing.default: 10
llearner: Classifier to train.default: trees.HoeffdingTree -l NB -e 1000 -g 100 -c 0.01
nmemberCount: The maximum number of classifier in an ensemble.default: 15.0
rstoredCount: The maximum number of classifiers to store and choose from when creating an ensemble.default: 30.0

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