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weka.classifiers.trees.RandomTree

weka.classifiers.trees.RandomTree

Visibility: public Uploaded 08-06-2021 by Tan Zheng Weka_3.9.5 0 runs
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Weka implementation.

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).default: ["false"]
BBreak ties randomly when several attributes look equally good.default: ["false"]
KNumber of attributes to randomly investigate. (default 0) (<1 = 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).default: []
SSeed for random number generator. (default 1)default: ["1"]
UAllow unclassified instances.default: ["false"]
VSet minimum numeric class variance proportion of train variance for split (default 1e-3).default: ["0.001"]
batch-sizeThe desired batch size for batch prediction (default 100).default: []
depthThe maximum depth of the tree, 0 for unlimited. (default 0)default: []
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).default: []
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the consoledefault: ["false"]

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