- 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