C45ModelSelection (DiscriminationAwareProcessAnalysis)

java.lang.Object
- org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ModelSelection
- - org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45ModelSelection

All Implemented Interfaces:

java.io.Serializable
```
public class C45ModelSelection
extends ModelSelection
```
Class for selecting a C4.5-type split for a given dataset.

Version:

$Revision: 1.8 $y

Author:

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

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type Field Description

static boolean noSA

Constructor Summary

Constructors
Constructor	Description
`C45ModelSelection()`
`C45ModelSelection(int minNoObj, Instances allData)`	Initializes the split selection method with the given parameters.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`cleanup()`	Sets reference to training data to null.
`ClassifierSplitModel`	`selectModel(Instances data)`	Selects a model for the given dataset.
`ClassifierSplitModel`	`selectModel(Instances train, Instances test)`	Selects C4.5-type split for the given dataset.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - noSA
```
public static boolean noSA
```
- Constructor Detail
  - C45ModelSelection
```
public C45ModelSelection(int minNoObj,
                         Instances allData)
```
    Initializes the split selection method with the given parameters.
    
    Parameters:
    
    minNoObj - minimum number of instances that have to occur in at least two subsets induced by split
    
    allData - FULL training dataset (necessary for selection of split points).
  - C45ModelSelection
```
public C45ModelSelection()
```
- Method Detail
  - cleanup
```
public void cleanup()
```
    Sets reference to training data to null.
  - selectModel
```
public final ClassifierSplitModel selectModel(Instances data)
```
    Description copied from class: ModelSelection
    
    Selects a model for the given dataset.
    
    Specified by:
    
    selectModel in class ModelSelection
  - selectModel
```
public final ClassifierSplitModel selectModel(Instances train,
                                              Instances test)
```
    Selects C4.5-type split for the given dataset.
    
    Overrides:
    
    selectModel in class ModelSelection