- C45ConsolidatedModelSelection - Class in weka.classifiers.trees.j48Consolidated
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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
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Initializes the split selection method with the given parameters.
- C45ConsolidatedPruneableClassifierTree - Class in weka.classifiers.trees.j48Consolidated
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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
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Constructor for pruneable consolidated tree structure.
- C45ConsolidatedSplit - Class in weka.classifiers.trees.j48Consolidated
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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
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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
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Creates a split model based on the consolidated decision
- calculateMeanDistribution(DistributionConsolidated[]) - Method in class weka.classifiers.trees.j48Consolidated.DistributionConsolidated
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Calculates the distribution by calculating the average of the distributions.
- checkBagSizePercentAndReplacementAndNewDistrMinClassOptions(boolean, int, float) - Method in class weka.classifiers.trees.J48Consolidated
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Checks the combinations of the options RMreplacement, RMbagSizePercent and RMnewDistrMinClass
- consolidateSplitPoint(int, int[], double[], Instances) - Method in class weka.classifiers.trees.j48Consolidated.C45ConsolidatedModelSelection
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Calculates the median of the split points related to 'mostVotedAtt' attribute, if this is numerical
(MAX_VALUE otherwise).