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weka.RandomCommittee_RandomTree

weka.RandomCommittee_RandomTree

Visibility: public Uploaded 15-05-2014 by Joaquin Vanschoren Weka_3.7.10 54 runs
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  • Verified_Supervised_Classification
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Weka implementation of RandomCommittee

Components

Wweka.RandomTree(1)Full name of base classifier. (default: weka.classifiers.trees.RandomTree)

Parameters

DIf set, classifier is run in debug mode and may output additional info to the console
INumber of iterations. (default 10)default: 10
KNumber of attributes to randomly investigate (<0 = int(log_2(#attributes)+1)).
MSet minimum number of instances per leaf.
NNumber of folds for backfitting (default 0, no backfitting).
SRandom number seed. (default 1)default: 1
UAllow unclassified instances.
WFull name of base classifier. (default: weka.classifiers.trees.RandomTree)default: weka.classifiers.trees.RandomTree
depthThe maximum depth of the tree, 0 for unlimited. (default 0)
num-slotsNumber of execution slots. (default 1 - i.e. no parallelism)default: 1

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