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weka.RandomTree

weka.RandomTree

Visibility: public Uploaded 05-02-2015 by Jan van Rijn Weka_3.7.12 1218 runs
0 likes downloaded by 2 people 0 issues 0 downvotes , 2 total downloads
  • study_1 study_41 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.12
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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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