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weka.ClassificationViaRegression_RandomForest

weka.ClassificationViaRegression_RandomForest

Visibility: public Uploaded 05-12-2016 by Laurence Keijzer Weka_3.8.0 1 runs
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  • Verified_Supervised_Classification weka weka_3.8.0
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E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.

Components

Wweka.RandomForest(11)Full name of base classifier. (default: weka.classifiers.trees.M5P)

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
LSave instances at the nodes in the tree (for visualization purposes)
MSet minimum number of instances per leaf (default 4)
NUse unpruned tree/rules
RBuild regression tree/rule rather than a model tree/rule
UUse unsmoothed predictions
WFull name of base classifier. (default: weka.classifiers.trees.M5P)default: weka.classifiers.trees.RandomForest
batch-sizeThe desired batch size for batch prediction (default 100).
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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