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moa.RuleClassifierNBayes

moa.RuleClassifierNBayes

Visibility: public Uploaded 23-02-2016 by Jan van Rijn Moa_14.11_November_2014 70 runs
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  • Verified_Supervised_Data_Stream_Classification
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Moa implementation of RuleClassifierNBayes

Parameters

csplitConfidence: The allowable error in split decision, values closer to 0 will take longer to decide.default: 1.0E-6
ggracePeriod: The number of instances a leaf should observe between split attempts.default: 200
ianomalyThreshold: The threshold value to be used in the anomaly detection.default: 15
kprobabilityThreshold: The threshold value.default: 0.1
oanomalyprobabilityThreshold: The threshold value.default: 0.99
pPmin: Percentage of the total number of example seen in the node.default: 0.1
qnbThreshold: The number of instances a leaf should observe before permitting Naive Bayes.default: 0
rorderedRules: orderedRules.default: false
ttieThreshold: Threshold below which a split will be forced to break ties.default: 0.05
uanomalyDetection: anomaly Detection.default: false
zpredictionFunctionOption: The prediction function to use.default: firstHit

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