weka.classifiers.rules.part
Class C45PruneableDecList

java.lang.Object
  |
  +--weka.classifiers.rules.part.ClassifierDecList
        |
        +--weka.classifiers.rules.part.C45PruneableDecList

All Implemented Interfaces:

java.io.Serializable

public class C45PruneableDecList

extends ClassifierDecList

Class for handling a partial tree structure pruned using C4.5's pruning heuristic.

Version:

$Revision: 1.6 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

C45PruneableDecList(ModelSelection toSelectLocModel, double cf, int minNum)
Constructor for pruneable tree structure.

Method Summary

void	buildDecList(Instances data, boolean leaf) Builds the partial tree without hold out set.
double	getEstimatedErrorsForLeaf() Computes estimated errors for leaf.

Methods inherited from class weka.classifiers.rules.part.ClassifierDecList

buildRule, chooseIndex, chooseLastIndex, classifyInstance, cleanup, distributionForInstance, toString, weight

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

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

buildDecList

public void buildDecList(Instances data,
                         boolean leaf)
                  throws java.lang.Exception

Builds the partial tree without hold out set.

Overrides:

buildDecList in class ClassifierDecList

Throws:

java.lang.Exception - if something goes wrong

getEstimatedErrorsForLeaf

public double getEstimatedErrorsForLeaf()

Computes estimated errors for leaf.