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Class weka.classifiers.OneR

java.lang.Object
   |
   +----weka.classifiers.Classifier
           |
           +----weka.classifiers.OneR

public class OneR

extends Classifier

implements OptionHandler

R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning, Vol. 11, pp. 63-91.

Valid options are:

-B num
Specify the minimum number of objects in a bucket (default: 6).

Version:

$Revision: 1.8 $

Author:

Ian H. Witten (ihw@cs.waikato.ac.nz)

OneR()

buildClassifier(Instances)

Generates the classifier.

classifyInstance(Instance)

Classifies a given instance.

getMinBucketSize()

Get the value of minBucketSize.

getOptions()

Gets the current settings of the OneR classifier.

listOptions()

Returns an enumeration describing the available options.

main(String[])

Main method for testing this class

newNominalRule(Attribute, Instances, int[])

Create a rule branching on this nominal attribute.

newNumericRule(Attribute, Instances, int[])

Create a rule branching on this numeric attribute

newRule(Attribute, Instances)

Create a rule branching on this attribute.

setMinBucketSize(int)

Set the value of minBucketSize.

setOptions(String[])

Parses a given list of options.

toString()

Returns a description of the classifier

 public OneR()

 public double classifyInstance(Instance inst)

Classifies a given instance.

Parameters:

inst - the instance to be classified

Overrides:

classifyInstance in class Classifier

 public void buildClassifier(Instances instances) throws Exception

Generates the classifier.

Parameters:

instances - the instances to be used for building the classifier

Throws: Exception

if the classifier can't be built successfully

Overrides:

buildClassifier in class Classifier

 public OneR. OneRRule newRule(Attribute attr,
                               Instances data) throws Exception

Create a rule branching on this attribute.

Parameters:

attr - the attribute to branch on

data - the data to be used for creating the rule

Throws: Exception

if the rule can't be built successfully

 public OneR. OneRRule newNominalRule(Attribute attr,
                                      Instances data,
                                      int missingValueCounts[]) throws Exception

Create a rule branching on this nominal attribute.

Parameters:

attr - the attribute to branch on

data - the data to be used for creating the rule

missingValueCounts - to be filled in

Throws: Exception

if the rule can't be built successfully

 public OneR. OneRRule newNumericRule(Attribute attr,
                                      Instances data,
                                      int missingValueCounts[]) throws Exception

Create a rule branching on this numeric attribute

Parameters:

attr - the attribute to branch on

data - the data to be used for creating the rule

missingValueCounts - to be filled in

Throws: Exception

if the rule can't be built successfully

 public Enumeration listOptions()

Returns an enumeration describing the available options.

Returns:

an enumeration of all the available options

 public void setOptions(String options[]) throws Exception

Parses a given list of options. Valid options are:

-B num
Specify the minimum number of objects in a bucket (default: 6).

Parameters:

options - the list of options as an array of strings

Throws: Exception

if an option is not supported

 public String[] getOptions()

Gets the current settings of the OneR classifier.

Returns:

an array of strings suitable for passing to setOptions

 public String toString()

Returns a description of the classifier

Overrides:

toString in class Object

 public int getMinBucketSize()

Get the value of minBucketSize.

Returns:

Value of minBucketSize.

 public void setMinBucketSize(int v)

Set the value of minBucketSize.

Parameters:

v - Value to assign to minBucketSize.

 public static void main(String argv[])

Main method for testing this class

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