PruneConfiguration.C45 (Dataflow Library Distribution Project 8.0.0-98 API)

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
  
  All Methods Instance Methods Concrete Methods
  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 Detail
  - 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 Detail
  - 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.