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Class weka.classifiers.j48.C45PruneableClassifierTree 

java.lang.Object
   |
   +----weka.classifiers.j48.ClassifierTree
           |
           +----weka.classifiers.j48.C45PruneableClassifierTree
public class C45PruneableClassifierTree
extends ClassifierTree
Class for handling a tree structure that can be pruned using C4.5 procedures.

Version:
$Revision: 1.3 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)

Constructor Index

o C45PruneableClassifierTree(ModelSelection, boolean, float, boolean)
Constructor for pruneable tree structure.

Method Index

o buildClassifier(Instances)
Method for building a pruneable classifier tree.
o collapse()
Collapses a tree to a node if training error doesn't increase.
o prune()
Prunes a tree using C4.5's pruning procedure.

Constructors

o C45PruneableClassifierTree 
 public C45PruneableClassifierTree(ModelSelection toSelectLocModel,
                                   boolean pruneTree,
                                   float cf,
                                   boolean raiseTree) throws 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: Exception
if something goes wrong

Methods

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

Throws: Exception
if something goes wrong
Overrides:
buildClassifier in class ClassifierTree
o collapse 
 public final void collapse()
Collapses a tree to a node if training error doesn't increase.

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

Throws: Exception
if something goes wrong 
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