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Class weka.classifiers.j48.C45PruneableDecList

java.lang.Object
    |
    +----weka.classifiers.j48.ClassifierDecList
            |
            +----weka.classifiers.j48.C45PruneableDecList

public class C45PruneableDecList
extends ClassifierDecList
Class for handling a partial tree structure pruned using C4.5's pruning heuristic.

Version:
$Revision: 1.4 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)

Constructor Index

 o C45PruneableDecList(ModelSelection, double, int)
Constructor for pruneable tree structure.

Method Index

 o buildRule(Instances)
Method for building a pruned partial tree.
 o chooseIndex()
Method for choosing a subset to expand.
 o chooseLastIndex()
Choose last index (ie.
 o getEstimatedErrorsForLeaf()
Computes estimated errors for leaf.

Constructor Detail

 o C45PruneableDecList
public C45PruneableDecList(ModelSelection toSelectLocModel,
                           double cf,
                           int minNum) throws java.lang.Exception
          Constructor for pruneable tree structure. Stores reference to associated training data at each node.
Parameters:
toSelectLocModel - selection method for local splitting model
cf - the confidence factor for pruning
minNum - the minimum number of objects in a leaf
Throws:
java.lang.Exception - if something goes wrong

Method Detail

 o buildRule
public void buildRule(Instances data) throws java.lang.Exception
          Method for building a pruned partial tree.
Throws:
java.lang.Exception - if something goes wrong
 o chooseIndex
public final int chooseIndex()
          Method for choosing a subset to expand.
 o chooseLastIndex
public final int chooseLastIndex()
          Choose last index (ie. choose rule).
 o getEstimatedErrorsForLeaf
public double getEstimatedErrorsForLeaf()
          Computes estimated errors for leaf.

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