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weka.ClassificationViaRegression

weka.ClassificationViaRegression

Visibility: public Uploaded 22-04-2018 by van der Elsen Weka_3.8.2 1 runs
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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.

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.M5P
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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