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weka.AdditiveRegression_DecisionStump

weka.AdditiveRegression_DecisionStump

Visibility: public Uploaded 05-04-2017 by Titus Kervezee Weka_3.8.1 0 runs
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J.H. Friedman (1999). Stochastic Gradient Boosting.

Components

Wweka.DecisionStump(8)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).
AMinimize absolute error instead of squared error (assumes that base learner minimizes absolute error).
INumber of iterations. (current value 10)default: 10
SSpecify shrinkage rate. (default = 1.0, i.e., no shrinkage)default: 1.0
WFull name of base classifier. (default: weka.classifiers.trees.DecisionStump)default: weka.classifiers.trees.DecisionStump
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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