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moa.WeightedMajorityAlgorithm

moa.WeightedMajorityAlgorithm

Visibility: public Uploaded 26-11-2015 by Mustafa Radha Moa_2014.03 1 runs
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Moa implementation of WeightedMajorityAlgorithm

Parameters

bbeta: Factor to punish mistakes by.default: 0.9
ggamma: Minimum fraction of weight per model.default: 0.01
llearners: The learners to combine.default: trees.HoeffdingTree -l MC,trees.HoeffdingTree -l NB,trees.HoeffdingTree,bayes.NaiveBayes
pprune: Prune poorly performing models from ensemble.default: false

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