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C

C45ConsolidatedModelSelection - Class in weka.classifiers.trees.j48Consolidated
Class for selecting a C4.5Consolidated-type split for a given dataset.
C45ConsolidatedModelSelection(int, Instances, boolean, boolean) - Constructor for class weka.classifiers.trees.j48Consolidated.C45ConsolidatedModelSelection
Initializes the split selection method with the given parameters.
C45ConsolidatedPruneableClassifierTree - Class in weka.classifiers.trees.j48Consolidated
Class for handling a consolidated tree structure that can be pruned using C4.5 procedures.
C45ConsolidatedPruneableClassifierTree(ModelSelection, boolean, float, boolean, boolean, boolean) - Constructor for class weka.classifiers.trees.j48Consolidated.C45ConsolidatedPruneableClassifierTree
Constructor for pruneable consolidated tree structure.
C45ConsolidatedSplit - Class in weka.classifiers.trees.j48Consolidated
Class implementing a C4.5-type split on a consolidated attribute based on a set of samples.
C45ConsolidatedSplit(int, int, double, boolean, Instances, double) - Constructor for class weka.classifiers.trees.j48Consolidated.C45ConsolidatedSplit
Creates a split model to be used to consolidate the decision around the set of samples, but with a null distribution
C45ConsolidatedSplit(int, int, double, boolean, Instances, Instances[], double) - Constructor for class weka.classifiers.trees.j48Consolidated.C45ConsolidatedSplit
Creates a split model based on the consolidated decision
calculateMeanDistribution(DistributionConsolidated[]) - Method in class weka.classifiers.trees.j48Consolidated.DistributionConsolidated
Calculates the distribution by calculating the average of the distributions.
checkBagSizePercentAndReplacementAndNewDistrMinClassOptions(boolean, int, float) - Method in class weka.classifiers.trees.J48Consolidated
Checks the combinations of the options RMreplacement, RMbagSizePercent and RMnewDistrMinClass
consolidateSplitPoint(int, int[], double[], Instances) - Method in class weka.classifiers.trees.j48Consolidated.C45ConsolidatedModelSelection
Calculates the median of the split points related to 'mostVotedAtt' attribute, if this is numerical (MAX_VALUE otherwise).
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