# Package weka.classifiers.trees.j48

package weka.classifiers.trees.j48

Related Packages
Package
Description
weka.classifiers.trees
weka.classifiers.trees.adtree
weka.classifiers.trees.ft
weka.classifiers.trees.lmt
weka.classifiers.trees.m5
Classes
Class
Description
BinC45ModelSelection
Class for selecting a C4.5-like binary (!) split for a given dataset.
BinC45Split
Class implementing a binary C4.5-like split on an attribute.
C45ModelSelection
Class for selecting a C4.5-type split for a given dataset.
C45PruneableClassifierTree
Class for handling a tree structure that can be pruned using C4.5 procedures.
C45PruneableClassifierTreeG
Class for handling a tree structure that can be pruned using C4.5 procedures and have nodes grafted on.
C45Split
Class implementing a C4.5-type split on an attribute.
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.
EntropySplitCrit
Class for computing the entropy for a given distribution.
GainRatioSplitCrit
Class for computing the gain ratio for a given distribution.
GraftSplit
Class implementing a split for nodes added to a tree during grafting.
InfoGainSplitCrit
Class for computing the information gain for a given distribution.
ModelSelection
Abstract class for model selection criteria.
NBTreeClassifierTree
Class for handling a naive bayes tree structure used for classification.
NBTreeModelSelection
Class for selecting a NB tree split.
NBTreeNoSplit
Class implementing a "no-split"-split (leaf node) for naive bayes trees.
NBTreeSplit
Class implementing a NBTree split on an attribute.
NoSplit
Class implementing a "no-split"-split.
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.
Stats
Class implementing a statistical routine needed by J48 to compute its error estimate.