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weka.Dagging_DecisionStump

weka.Dagging_DecisionStump

Visibility: public Uploaded 07-07-2017 by Miguel Cachada Weka_3.8.1 0 runs
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Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.

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).
FThe number of folds for splitting the training set into smaller chunks for the base classifier. (default 10)default: 10
SRandom number seed. (default 1)default: 1
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
verboseWhether to print some more information during building the classifier. (default is off)

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