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weka.AdditiveRegression_REPTree

weka.AdditiveRegression_REPTree

Visibility: public Uploaded 10-12-2015 by Joaquin Vanschoren Weka_3.7.13 2 runs
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  • Verified_Learning_Curve weka weka_3.7.13
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J.H. Friedman (1999). Stochastic Gradient Boosting.

Components

Wweka.REPTree(15)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
SSpecify shrinkage rate. (default = 1.0, ie. no shrinkage)default: 1.0
WFull name of base classifier. (default: weka.classifiers.trees.DecisionStump)default: weka.classifiers.trees.REPTree
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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