BinC45ModelSelection (DiscriminationAwareProcessAnalysis)

java.lang.Object
- org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ModelSelection
- - org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45ModelSelection

All Implemented Interfaces:

java.io.Serializable
```
public class BinC45ModelSelection
extends ModelSelection
```
Class for selecting a C4.5-like binary (!) split for a given dataset.

Version:

$Revision: 1.8 $

Author:

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

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type Field Description

static BinC45Split discModel

Constructor Summary

Constructors
Constructor Description

BinC45ModelSelection(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 C4.5-type split 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
  - discModel
```
public static BinC45Split discModel
```
- Constructor Detail
  - BinC45ModelSelection
```
public BinC45ModelSelection(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).
- Method Detail
  - cleanup
```
public void cleanup()
```
    Sets reference to training data to null.
  - selectModel
```
public final ClassifierSplitModel selectModel(Instances data)
```
    Selects C4.5-type split 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