weka.classifiers.trees.j48
Class C45PruneableClassifierTree

java.lang.Object
  |
  +--weka.classifiers.trees.j48.ClassifierTree
        |
        +--weka.classifiers.trees.j48.C45PruneableClassifierTree
All Implemented Interfaces:
Drawable, java.io.Serializable

public class C45PruneableClassifierTree
extends ClassifierTree

Class for handling a tree structure that can be pruned using C4.5 procedures.

Version:
$Revision: 1.11 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:
Serialized Form

Field Summary
 
Fields inherited from interface weka.core.Drawable
BayesNet, NOT_DRAWABLE, TREE
 
Constructor Summary
C45PruneableClassifierTree(ModelSelection toSelectLocModel, boolean pruneTree, float cf, boolean raiseTree, boolean cleanup)
          Constructor for pruneable tree structure.
 
Method Summary
 void buildClassifier(Instances data)
          Method for building a pruneable classifier tree.
 void collapse()
          Collapses a tree to a node if training error doesn't increase.
 void prune()
          Prunes a tree using C4.5's pruning procedure.
 
Methods inherited from class weka.classifiers.trees.j48.ClassifierTree
assignIDs, buildTree, buildTree, classifyInstance, cleanup, distributionForInstance, graph, graphType, numLeaves, numNodes, prefix, toSource, toString
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

C45PruneableClassifierTree

public C45PruneableClassifierTree(ModelSelection toSelectLocModel,
                                  boolean pruneTree,
                                  float cf,
                                  boolean raiseTree,
                                  boolean cleanup)
                           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
pruneTree - true if the tree is to be pruned
cf - the confidence factor for pruning
Throws:
java.lang.Exception - if something goes wrong
Method Detail

buildClassifier

public void buildClassifier(Instances data)
                     throws java.lang.Exception
Method for building a pruneable classifier tree.

Overrides:
buildClassifier in class ClassifierTree
Throws:
java.lang.Exception - if something goes wrong

collapse

public final void collapse()
Collapses a tree to a node if training error doesn't increase.


prune

public void prune()
           throws java.lang.Exception
Prunes a tree using C4.5's pruning procedure.

Throws:
java.lang.Exception - if something goes wrong


Copyright (c) 2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London