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M

m_classIndex - Variable in class weka.attributeSelection.IWSSembeddedNB
index of the class attribute
m_Disc - Variable in class weka.attributeSelection.IWSSembeddedNB
The discretization filter.
m_evaluator - Variable in class weka.attributeSelection.IWSSembeddedNB
evaluator - never used in search
m_formerSelected - Variable in class weka.attributeSelection.IWSSembeddedNB
Number of former attributes in ranking to be straight-forward selected before running the incremental search.
m_IWSSfolds - Static variable in class weka.attributeSelection.IWSSembeddedNB
Number of folds for the inner cross validation of the IWSS process
m_minFolds - Variable in class weka.attributeSelection.IWSSembeddedNB
Minimum number of folds to be improved when IWSS selects a new attribute.
m_numClasses - Variable in class weka.attributeSelection.IWSSembeddedNB
The number of classes (or 1 for numeric class)
m_replace - Variable in class weka.attributeSelection.IWSSembeddedNB
whether to use the attributes replacement enhancement of the IWSS algorithm
m_selected - Variable in class weka.attributeSelection.IWSSembeddedNB
selected attributes in the embedded process
m_skipRanking - Variable in class weka.attributeSelection.IWSSembeddedNB
It is set to true if IWSS.setStartSet is called
m_theta - Variable in class weka.attributeSelection.IWSSembeddedNB
value for early stopping: (0-1] (1 means no early stop) percentage of remaining attributes to visit in the IWSS algorithm
minFoldsTipText() - Method in class weka.attributeSelection.IWSSembeddedNB
Returns the tip text for this property
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