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weka.MultiBoostAB_OneR

weka.MultiBoostAB_OneR

Visibility: public Uploaded 05-07-2017 by Miguel Cachada Weka_3.8.1 0 runs
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).

Components

Wweka.OneR(20)Full name of base classifier. (default: weka.classifiers.trees.DecisionStump)

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
CNumber of sub-committees. (Default 3)default: 3
INumber of iterations. (current value 10)default: 10
PPercentage of weight mass to base training on. (default 100, reduce to around 90 speed up)default: 100
QUse resampling for boosting.
SRandom number seed. (default 1)default: 1
WFull name of base classifier. (default: weka.classifiers.trees.DecisionStump)default: weka.classifiers.rules.OneR
batch-sizeThe desired batch size for batch prediction (default 100).
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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