Module datarush.analytics

Package com.pervasive.datarush.analytics.decisiontree.pruner

Class PruneConfiguration.C45

java.lang.Object

com.pervasive.datarush.analytics.decisiontree.pruner.PruneConfiguration

com.pervasive.datarush.analytics.decisiontree.pruner.PruneConfiguration.C45

All Implemented Interfaces:

Serializable

Enclosing class:

PruneConfiguration

public static final class PruneConfiguration.C45
extends PruneConfiguration

The C4.5 pruning strategy.

See Also:

• Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class com.pervasive.datarush.analytics.decisiontree.pruner.PruneConfiguration

PruneConfiguration.C45

Field Summary

Fields inherited from class com.pervasive.datarush.analytics.decisiontree.pruner.PruneConfiguration

C45

Constructor Summary

Constructors

Constructor	Description
C45(double pruningConfidenceLevel)	Creates a C4.5 prune configuration.

Method Summary

Modifier and Type	Method	Description
double	getPruningConfidenceLevel()	Returns the pruning confidence level.

Methods inherited from class java.lang.Object

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

Constructor Details

C45

public C45(double pruningConfidenceLevel)

Creates a C4.5 prune configuration.

Parameters:

pruningConfidenceLevel - The pruning confidence level. Must be in the range [0,1].

Method Details

getPruningConfidenceLevel

public double getPruningConfidenceLevel()

Returns the pruning confidence level. Controls the degree of pruning done. Reflects the confidence level that current tree will see equal or lesser errors in the test set than what was observed during training. Lower values result in more pruning; higher values result in less pruning.

Returns:

the pruning confidence level.