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weka.PART

weka.PART

Visibility: public Uploaded 05-02-2015 by Jan van Rijn Weka_3.7.12 1206 runs
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  • study_1 study_41 Verified_Learning_Curve,Verified_Supervised_Classification weka weka_3.7.12
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Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
-doNotMakeSplitPointActualValueDo not make split point actual value.
BUse binary splits only.
CSet confidence threshold for pruning. (default 0.25)default: 0.25
JDo not use MDL correction for info gain on numeric attributes.
MSet minimum number of objects per leaf. (default 2)default: 2
NSet number of folds for reduced error pruning. One fold is used as pruning set. (default 3)
QSeed for random data shuffling (default 1).default: 1
RUse reduced error pruning.
UGenerate unpruned decision list.
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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