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
Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
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 modelcf
- the confidence factor for pruningminNum
- the minimum number of objects in a leaf
- Throws:
java.lang.Exception
- if something goes wrong
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.