2699 1 moa.LeveragingBag_HoeffdingTree 2 Moa_14.11_November_2014_1.0 Moa implementation of LeveragingBag 2016-02-18T08:25:45 English Moa_14.11_November_2014 a option 0.002 deltaAdwin: Delta of Adwin change detection l baselearner trees.HoeffdingTree baseLearner: Classifier to train. m option LeveragingBag leveraginBagAlgorithm: Leveraging Bagging to use. o flag false outputCodes: Use Output Codes to use binary classifiers. r option 1 randomSeed: Seed for random behaviour of the classifier. s option 10 ensembleSize: The number of models in the bag. w option 6.0 weightShrink: The number to use to compute the weight of new instances. l 2688 1 moa.HoeffdingTree 5 Moa_14.11_November_2014_1.0 Moa implementation of HoeffdingTree 2016-02-15T05:26:52 English Moa_14.11_November_2014 b flag false binarySplits: Only allow binary splits. c option 1.0E-7 splitConfidence: The allowable error in split decision, values closer to 0 will take longer to decide. d baselearner NominalAttributeClassObserver nominalEstimator: Nominal estimator to use. e option 1000000 memoryEstimatePeriod: How many instances between memory consumption checks. g option 200 gracePeriod: The number of instances a leaf should observe between split attempts. l option NBAdaptive leafprediction: Leaf prediction to use. m option 33554432 maxByteSize: Maximum memory consumed by the tree. n baselearner GaussianNumericAttributeClassObserver numericEstimator: Numeric estimator to use. p flag false noPrePrune: Disable pre-pruning. q option 0 nbThreshold: The number of instances a leaf should observe before permitting Naive Bayes. r flag false removePoorAtts: Disable poor attributes. s baselearner InfoGainSplitCriterion splitCriterion: Split criterion to use. t option 0.05 tieThreshold: Threshold below which a split will be forced to break ties. z flag false stopMemManagement: Stop growing as soon as memory limit is hit. Verified_Supervised_Data_Stream_Classification study_16 Verified_Supervised_Data_Stream_Classification https://api.openml.org/data/download/1798965/moa.classifiers.meta.LeveragingBag9561672295145552.class class 9e1a2378279accb84560ba076d71f7d7