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weka.AdaBoostM1_RandomTree

weka.AdaBoostM1_RandomTree

Visibility: public Uploaded 18-08-2014 by Felicia West Weka_3.7.12-SNAPSHOT 2514 runs
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  • study_2 study_37 Verified_Learning_Curve,Verified_Supervised_Classification
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.

Components

Wweka.RandomTree(2)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).
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
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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