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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: 1.2 $
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.

Constructors

o C45PruneableDecList 
 public C45PruneableDecList(ModelSelection toSelectLocModel,
                            double cf,
                            int minNum) throws 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: Exception
if something goes wrong

Methods

o buildRule 
 public void buildRule(Instances data) throws Exception
Method for building a pruned partial tree.

Throws: Exception
if something goes wrong
o chooseIndex 
 public final int chooseIndex()
Method for choosing a subset to expand.

Overrides:
chooseIndex in class ClassifierDecList
o chooseLastIndex 
 public final int chooseLastIndex()
Choose last index (ie. choose rule).

Overrides:
chooseLastIndex in class ClassifierDecList
o getEstimatedErrorsForLeaf 
 public double getEstimatedErrorsForLeaf()
Computes estimated errors for leaf. 

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