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weka.MultiBoostAB_RandomTree

weka.MultiBoostAB_RandomTree

Visibility: public Uploaded 03-06-2014 by Joaquin Vanschoren Weka_3.7.10 114 runs
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  • Verified_Supervised_Classification
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).

Components

Wweka.RandomTree(1)Full name of base classifier. (default: weka.classifiers.trees.DecisionStump)

Parameters

CNumber of sub-committees. (Default 3)default: 3
DIf set, classifier is run in debug mode and may output additional info to the console
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.RandomTree

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