Uses of Package
weka.classifiers.trees.j48

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.
Distribution
          Class for handling a distribution of class values.
EntropySplitCrit
          Class for computing the entropy for a given distribution.
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.
ClassifierSplitModel
          Abstract class for classification models that can be used recursively to split the data.
ClassifierTree
          Class for handling a tree structure used for classification.
Distribution
          Class for handling a distribution of class values.
EntropyBasedSplitCrit
          "Abstract" class for computing splitting criteria based on the entropy of a class distribution.
GainRatioSplitCrit
          Class for computing the gain ratio for a given distribution.
InfoGainSplitCrit
          Class for computing the information gain for a given distribution.
ModelSelection
          Abstract class for model selection criteria.
PruneableClassifierTree
          Class for handling a tree structure that can be pruned using a pruning set.
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.
ModelSelection
          Abstract class for model selection criteria.