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m_bagSizePercentToReduce - Static variable in class weka.classifiers.trees.J48Consolidated
Size of each sample(bag), as a percentage of the training set size, to be used in exceptional situations where the original class distribution and the distribution of the samples to be generated are the same and the size of samples has been set as the maximum possible (maxSize).
m_coveragePercent - Static variable in class weka.classifiers.trees.J48Consolidated
The default value set for the percentage of coverage estimated necessary to adequately cover the examples of the original sample with the set of samples to be used in the consolidation process
m_minExamplesPerClassPercent - Static variable in class weka.classifiers.trees.J48Consolidated
Minimum percentage of cases required in each class for the samples to be generated when the distribution of the minority class is changed
m_numberSamplesByCoverage - Variable in class weka.classifiers.trees.J48Consolidated
Number of samples necessary based on coverage (if this option is used)
m_RMbagSizePercent - Variable in class weka.classifiers.trees.J48Consolidated
Size of each sample(bag), as a percentage of the training set size.
m_RMnewDistrMinClass - Variable in class weka.classifiers.trees.J48Consolidated
Value of the distribution of the minority class to be changed.
m_RMnumberSamples - Variable in class weka.classifiers.trees.J48Consolidated
Number of samples to be generated for the use in the construction of the consolidated tree.
m_RMnumberSamplesHowToSet - Variable in class weka.classifiers.trees.J48Consolidated
Selected way to set the number of samples to be generated; or using a fixed value; or based on a coverage value as a percentage (by default).
m_RMreplacement - Variable in class weka.classifiers.trees.J48Consolidated
Determines whether or not replacement is used when generating the samples.
m_stExceptionalSituationsMessage - Variable in class weka.classifiers.trees.J48Consolidated
String containing a brief explanation of exceptional situations, if occur
m_toSelectModelToConsolidate - Variable in class weka.classifiers.trees.j48Consolidated.C45ConsolidatedModelSelection
The model selection method to consolidate.
m_trueCoverage - Variable in class weka.classifiers.trees.J48Consolidated
The true value estimated for the coverage achieved with the set of samples generated for the construction of the consolidated tree
main(String[]) - Static method in class weka.classifiers.trees.J48Consolidated
Main method for testing this class
measureNumberSamplesByCoverage() - Method in class weka.classifiers.trees.J48Consolidated
Returns the number of samples neccesary to achieve the indicated coverage
measureTrueCoverage() - Method in class weka.classifiers.trees.J48Consolidated
Returns the true coverage of the examples of the original sample achieved by the set of samples generated for the consolidated tree
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