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weka.LWL_RandomTree

Visibility: public Uploaded 03-06-2014 by Felicia West Weka_3.7.10 17 runs
0 likes downloaded by 1 people 0 issues 0 downvotes , 1 total downloads

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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

weka.RandomTree(1)

Full name of base classifier. (default: weka.classifiers.trees.DecisionStump)

Parameters

A	The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch).	default: true
D	If set, classifier is run in debug mode and may output additional info to the console
K	Set the number of neighbours used to set the kernel bandwidth. (default all)	default: -1
U	Set the weighting kernel shape to use. 0=Linear, 1=Epanechnikov, 2=Tricube, 3=Inverse, 4=Gaussian. (default 0 = Linear)	default: 0
W	Full name of base classifier. (default: weka.classifiers.trees.DecisionStump)	default: weka.classifiers.trees.RandomTree

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weka.LWL_RandomTree

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