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weka.RandomTree

weka.RandomTree

Visibility: public Uploaded 18-08-2014 by Joaquin Vanschoren Weka_3.7.12-SNAPSHOT 88 runs
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  • study_2 study_37 Verified_Learning_Curve,Verified_Supervised_Classification
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Weka implementation of RandomTree

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
KNumber of attributes to randomly investigate. (default 0) (<0 = int(log_2(#predictors)+1)).default: 0
MSet minimum number of instances per leaf. (default 1)default: 1.0
NNumber of folds for backfitting (default 0, no backfitting).
SSeed for random number generator. (default 1)default: 1
UAllow unclassified instances.
VSet minimum numeric class variance proportion of train variance for split (default 1e-3).default: 0.001
depthThe maximum depth of the tree, 0 for unlimited. (default 0)
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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