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moa.AccuracyWeightedEnsemble_WEKAClassifier_LinearRegression

moa.AccuracyWeightedEnsemble_WEKAClassifier_LinearRegression

Visibility: public Uploaded 23-02-2015 by Jan van Rijn Moa_2014.03 27 runs
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  • Verified_Supervised_Data_Stream_Classification
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Moa implementation of AccuracyWeightedEnsemble

Components

lmoa.WEKAClassifier_LinearRegression(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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