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weka.HillClimber

weka.HillClimber

Visibility: public Uploaded 07-12-2014 by Roy van den Hurk Weka_3.7.12-SNAPSHOT 0 runs
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Weka implementation of HillClimber

Parameters

NInitial structure is empty (instead of Naive Bayes)
PMaximum number of parentsdefault: 1
QUse probabilistic or 0/1 scoring. (default probabilistic scoring)
RUse arc reversal operation. (default false)
SScore type (LOO-CV,k-Fold-CV,Cumulative-CV)default: LOO-CV
mbcApplies a Markov Blanket correction to the network structure, after a network structure is learned. This ensures that all nodes in the network are part of the Markov blanket of the classifier node.

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