Visibility: public Uploaded 22-12-2015 by Jan van Rijn Weka_3.7.13 39 runs
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  • Verified_Learning_Curve weka weka_3.7.13
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Weka implementation of BayesNet


Qweka.K2(9)Search algorithm


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
AInitial count (alpha)
BBIF file to compare with
DDo not use ADTree data structuredefault: true
EEstimator algorithm
NInitial structure is empty (instead of Naive Bayes)
PMaximum number of parents
QSearch algorithmdefault: weka.classifiers.bayes.net.search.local.K2
RRandom order. (default false)
SScore type (BAYES, BDeu, MDL, ENTROPY and AIC)
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.
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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