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Packages that use weka.classifiers.trees.j48 | |
weka.classifiers.rules.part | |
weka.classifiers.trees | |
weka.classifiers.trees.j48 | |
weka.classifiers.trees.lmt |
Classes in weka.classifiers.trees.j48 used by weka.classifiers.rules.part | |
ClassifierSplitModel
Abstract class for classification models that can be used recursively to split the data. |
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Distribution
Class for handling a distribution of class values. |
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EntropySplitCrit
Class for computing the entropy for a given distribution. |
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ModelSelection
Abstract class for model selection criteria. |
Classes in weka.classifiers.trees.j48 used by weka.classifiers.trees | |
ClassifierTree
Class for handling a tree structure used for classification. |
Classes in weka.classifiers.trees.j48 used by weka.classifiers.trees.j48 | |
C45PruneableClassifierTree
Class for handling a tree structure that can be pruned using C4.5 procedures. |
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ClassifierSplitModel
Abstract class for classification models that can be used recursively to split the data. |
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ClassifierTree
Class for handling a tree structure used for classification. |
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Distribution
Class for handling a distribution of class values. |
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EntropyBasedSplitCrit
"Abstract" class for computing splitting criteria based on the entropy of a class distribution. |
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GainRatioSplitCrit
Class for computing the gain ratio for a given distribution. |
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InfoGainSplitCrit
Class for computing the information gain for a given distribution. |
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ModelSelection
Abstract class for model selection criteria. |
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PruneableClassifierTree
Class for handling a tree structure that can be pruned using a pruning set. |
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SplitCriterion
Abstract class for computing splitting criteria with respect to distributions of class values. |
Classes in weka.classifiers.trees.j48 used by weka.classifiers.trees.lmt | |
ClassifierSplitModel
Abstract class for classification models that can be used recursively to split the data. |
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ModelSelection
Abstract class for model selection criteria. |
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