org.knime.base.node.mine.decisiontree2.learner2

Class PruningResult

java.lang.Object

org.knime.base.node.mine.decisiontree2.learner2.PruningResult

public class PruningResult
extends Object

A pruning result is the possibly new node and a quality value (e.g. description length, estimated error) of this node.

Since:

2.6

Author:

Christoph Sieb, University of Konstanz

Constructor Summary

Constructors

Constructor and Description
PruningResult(double qualityValue, DecisionTreeNode node) Creates a pruning result from a node and its quality value (e.g.

Method Summary

Modifier and Type	Method and Description
DecisionTreeNode	getNode() Returns the decision tree of this pruning result.
double	getQualityValue() Returns the quality value for this node.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PruningResult

public PruningResult(double qualityValue,
                     DecisionTreeNode node)

Creates a pruning result from a node and its quality value (e.g. description length, estimated error).

Parameters:

qualityValue - the quality value (e.g. description length, estimated error) of the node

node - the node of the pruning result

Method Detail

getQualityValue

public double getQualityValue()

Returns the quality value for this node.

Returns:

the quality value length for this node

getNode

public DecisionTreeNode getNode()

Returns the decision tree of this pruning result.

Returns:

the decision tree of this pruning result