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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SimpleLogistic

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SimpleLogistic

Visibility: public Uploaded 03-06-2014 by Joaquin Vanschoren Weka_3.7.10 18 runs
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Weka implementation of AttributeSelectedClassifier

Components

Wweka.SimpleLogistic(1)Full name of base classifier. (default: weka.classifiers.trees.J48)
Eweka.CfsSubsetEval(1)Full class name of attribute evaluator, followed by its options. eg: "weka.attributeSelection.CfsSubsetEval -L" (default weka.attributeSelection.CfsSubsetEval)
Sweka.BestFirst(1)Full class name of search method, followed by its options. eg: "weka.attributeSelection.BestFirst -D 1" (default weka.attributeSelection.BestFirst)

Parameters

ALaplace smoothing for predicted probabilities.
BUse binary splits only.
CSet confidence threshold for pruning. (default 0.25)
DIf set, classifier is run in debug mode and may output additional info to the console
EFull class name of attribute evaluator, followed by its options. eg: "weka.attributeSelection.CfsSubsetEval -L" (default weka.attributeSelection.CfsSubsetEval)default: weka.attributeSelection.CfsSubsetEval
JDo not use MDL correction for info gain on numeric attributes.
LDo not clean up after the tree has been built.
MSet minimum number of instances per leaf. (default 2)
NSet number of folds for reduced error pruning. One fold is used as pruning set. (default 3)
ODo not collapse tree.
QSeed for random data shuffling (default 1).
RUse reduced error pruning.
SFull class name of search method, followed by its options. eg: "weka.attributeSelection.BestFirst -D 1" (default weka.attributeSelection.BestFirst)default: weka.attributeSelection.BestFirst
UUse unpruned tree.
WFull name of base classifier. (default: weka.classifiers.trees.J48)default: weka.classifiers.functions.SimpleLogistic

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