Visibility: public Uploaded 28-02-2017 by maxime buron Moa__16.04_April_2016 1 runs
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  • Verified_Supervised_Data_Stream_Classification
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Moa implementation of HoeffdingTreeClassifLeaves


amoa.NaiveBayes(4)learner: Classifier to train.


alearner: Classifier to train.default: bayes.NaiveBayes
bbinarySplits: Only allow binary splits.default: false
csplitConfidence: The allowable error in split decision, values closer to 0 will take longer to decide.default: 1.0E-7
dnominalEstimator: Nominal estimator to use.default: NominalAttributeClassObserver
ememoryEstimatePeriod: How many instances between memory consumption checks.default: 1000000
ggracePeriod: The number of instances a leaf should observe between split attempts.default: 200
lleafprediction: Leaf prediction to use.default: NBAdaptive
mmaxByteSize: Maximum memory consumed by the tree.default: 33554432
nnumericEstimator: Numeric estimator to use.default: GaussianNumericAttributeClassObserver
pnoPrePrune: Disable pre-pruning.default: false
qnbThreshold: The number of instances a leaf should observe before permitting Naive Bayes.default: 0
ssplitCriterion: Split criterion to use.default: InfoGainSplitCriterion
ttieThreshold: Threshold below which a split will be forced to break ties.default: 0.05
zstopMemManagement: Stop growing as soon as memory limit is hit.default: false


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