weka.classifiers.trees
Class NBTree

java.lang.Object
  extended byweka.classifiers.Classifier
      extended byweka.classifiers.trees.NBTree
All Implemented Interfaces:
AdditionalMeasureProducer, java.lang.Cloneable, Drawable, OptionHandler, java.io.Serializable, Summarizable, WeightedInstancesHandler

public class NBTree
extends Classifier
implements WeightedInstancesHandler, Drawable, Summarizable, AdditionalMeasureProducer

Class for generating a Naive Bayes tree (decision tree with Naive Bayes classifiers at the leaves). For more information, see

Ron Kohavi (1996). Scaling up the accuracy of naive-Bayes classifiers: a decision tree hybrid. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining.

See Also:
Serialized Form

Field Summary
 
Fields inherited from interface weka.core.Drawable
BayesNet, NOT_DRAWABLE, TREE
 
Constructor Summary
NBTree()
           
 
Method Summary
 void buildClassifier(Instances instances)
          Generates the classifier.
 double classifyInstance(Instance instance)
          Classifies an instance.
 double[] distributionForInstance(Instance instance)
          Returns class probabilities for an instance.
 java.util.Enumeration enumerateMeasures()
          Returns an enumeration of the additional measure names
 double getMeasure(java.lang.String additionalMeasureName)
          Returns the value of the named measure
 java.lang.String globalInfo()
          Returns a string describing classifier
 java.lang.String graph()
          Returns graph describing the tree.
 int graphType()
          Returns the type of graph this classifier represents.
static void main(java.lang.String[] argv)
          Main method for testing this class
 double measureNumLeaves()
          Returns the number of leaves
 double measureNumRules()
          Returns the number of rules (same as number of leaves)
 double measureTreeSize()
          Returns the size of the tree
 java.lang.String toString()
          Returns a description of the classifier.
 java.lang.String toSummaryString()
          Returns a superconcise version of the model
 
Methods inherited from class weka.classifiers.Classifier
debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, setDebug, setOptions
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

NBTree

public NBTree()
Method Detail

globalInfo

public java.lang.String globalInfo()
Returns a string describing classifier

Returns:
a description suitable for displaying in the explorer/experimenter gui

buildClassifier

public void buildClassifier(Instances instances)
                     throws java.lang.Exception
Generates the classifier.

Specified by:
buildClassifier in class Classifier
Parameters:
instances - set of instances serving as training data
Throws:
java.lang.Exception - if classifier can't be built successfully

classifyInstance

public double classifyInstance(Instance instance)
                        throws java.lang.Exception
Classifies an instance.

Overrides:
classifyInstance in class Classifier
Parameters:
instance - the instance to be classified
Returns:
the predicted most likely class for the instance or Instance.missingValue() if no prediction is made
Throws:
java.lang.Exception - if instance can't be classified successfully

distributionForInstance

public final double[] distributionForInstance(Instance instance)
                                       throws java.lang.Exception
Returns class probabilities for an instance.

Overrides:
distributionForInstance in class Classifier
Parameters:
instance - the instance to be classified
Returns:
an array containing the estimated membership probabilities of the test instance in each class or the numeric prediction
Throws:
java.lang.Exception - if distribution can't be computed successfully

toString

public java.lang.String toString()
Returns a description of the classifier.


graphType

public int graphType()
Returns the type of graph this classifier represents.

Specified by:
graphType in interface Drawable
Returns:
Drawable.TREE

graph

public java.lang.String graph()
                       throws java.lang.Exception
Returns graph describing the tree.

Specified by:
graph in interface Drawable
Returns:
the graph described by a string
Throws:
java.lang.Exception - if graph can't be computed

toSummaryString

public java.lang.String toSummaryString()
Returns a superconcise version of the model

Specified by:
toSummaryString in interface Summarizable
Returns:
the object summarized as a string

measureTreeSize

public double measureTreeSize()
Returns the size of the tree

Returns:
the size of the tree

measureNumLeaves

public double measureNumLeaves()
Returns the number of leaves

Returns:
the number of leaves

measureNumRules

public double measureNumRules()
Returns the number of rules (same as number of leaves)

Returns:
the number of rules

getMeasure

public double getMeasure(java.lang.String additionalMeasureName)
Returns the value of the named measure

Specified by:
getMeasure in interface AdditionalMeasureProducer
Parameters:
additionalMeasureName - the name of the measure to query for its value
Returns:
the value of the named measure
Throws:
java.lang.IllegalArgumentException - if the named measure is not supported

enumerateMeasures

public java.util.Enumeration enumerateMeasures()
Returns an enumeration of the additional measure names

Specified by:
enumerateMeasures in interface AdditionalMeasureProducer
Returns:
an enumeration of the measure names

main

public static void main(java.lang.String[] argv)
Main method for testing this class