Visibility: public Uploaded 23-02-2016 by Jan van Rijn Moa_14.11_November_2014 45 runs
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  • Verified_Supervised_Data_Stream_Classification
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Moa implementation of AMRulesRegressor


AnoAnomalyDetection: Disable anomaly Detection.default: false
HDoNotDetectChanges: Drift Detection. Page-Hinkley.default: false
PpredictionFunctionOption: The prediction function to use.default: Adaptative
UsetUnorderedRulesOn: unorderedRules.default: false
VvotingType: Voting Type.default: InverseErrorWeightedVote
apageHinckleyAlpha: The alpha value to use in the Page Hinckley change detection tests.default: 0.005
csplitConfidence: Hoeffding Bound Parameter. The allowable error in split decision, values closer to 0 will take longer to decide.default: 1.0E-7
dlearningRatio_Decay_set_constant: Learning Ratio Decay in Perceptron set to be constant. (The next parameter).default: false
ggracePeriod: Hoeffding Bound Parameter. The number of instances a leaf should observe between split attempts.default: 200
lpageHinckleyThreshold: The threshold value (Lambda) to be used in the Page Hinckley change detection tests.default: 35
mmultivariateAnomalyProbabilityThresholdd: Multivariate anomaly threshold value.default: 0.99
nanomalyThreshold: The threshold value of anomalies to be used in the anomaly detection.default: 30
rrandomSeed: Seed for random behaviour of the classifier.default: 1
slearningRatio: Constante Learning Ratio to use for training the Perceptrons in the leaves.default: 0.025
ttieThreshold: Hoeffding Bound Parameter. Threshold below which a split will be forced to break ties.default: 0.05
uunivariateAnomalyprobabilityThreshold: Univariate anomaly threshold value.default: 0.1
vverbosity: Output Verbosity Control Level. 1 (Less) to 5 (More)default: 1
znumericObserver: Numeric observer.default: FIMTDDNumericAttributeClassLimitObserver


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