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weka.LWL_RandomTree

weka.LWL_RandomTree

Visibility: public Uploaded 01-06-2016 by Jan van Rijn Weka_3.7.13 134 runs
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  • Verified_Supervised_Classification weka weka_3.7.13
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Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..

Components

Wweka.RandomTree(11)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).
AThe nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch).default: true
KSet the number of neighbours used to set the kernel bandwidth. (default all)default: -1
USet the weighting kernel shape to use. 0=Linear, 1=Epanechnikov, 2=Tricube, 3=Inverse, 4=Gaussian. (default 0 = Linear)default: 0
WFull name of base classifier. (default: weka.classifiers.trees.DecisionStump)default: weka.classifiers.trees.RandomTree
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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