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weka.MultiBoostAB_DecisionStump

weka.MultiBoostAB_DecisionStump

Visibility: public Uploaded 18-02-2015 by Joaquin Vanschoren Weka_3.7.12 5696 runs
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  • study_1 study_41 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.12
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).

Components

Wweka.DecisionStump(4)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. (default 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.trees.DecisionStump
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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