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weka.RandomTree

weka.RandomTree

Visibility: public Uploaded 04-04-2014 by Jan van Rijn Weka_3.7.10 128 runs
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  • Verified_Learning_Curve,Verified_Supervised_Classification
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Weka implementation of RandomTree

Parameters

DIf set, classifier is run in debug mode and may output additional info to the console
KNumber of attributes to randomly investigate (<0 = int(log_2(#attributes)+1)).default: 0
MSet minimum number of instances per leaf.default: 1.0
NNumber of folds for backfitting (default 0, no backfitting).
SSeed for random number generator. (default 1)default: 1
UAllow unclassified instances.
depthThe maximum depth of the tree, 0 for unlimited. (default 0)

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