java.lang.Object
- weka.classifiers.Classifier
- - weka.classifiers.trees.NBTree

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, AdditionalMeasureProducer, CapabilitiesHandler, Drawable, OptionHandler, RevisionHandler, Summarizable, TechnicalInformationHandler, WeightedInstancesHandler
```
public class NBTree
extends Classifier
implements WeightedInstancesHandler, Drawable, Summarizable, AdditionalMeasureProducer, TechnicalInformationHandler
```
Class for generating a decision tree with naive Bayes classifiers at the leaves.

For more information, see

Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.
BibTeX:
```
 @inproceedings{Kohavi1996,
    author = {Ron Kohavi},
    booktitle = {Second International Conference on Knoledge Discovery and Data Mining},
    pages = {202-207},
    title = {Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid},
    year = {1996}
 }
 
```
Valid options are:
```
 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
```
Version:

$Revision: 1.10 $

Author:

Mark Hall

See Also:

Serialized Form

Field Summary
- Fields inherited from interface weka.core.Drawable
  BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors
Constructor Description

NBTree()

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`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
`Capabilities`	`getCapabilities()`	Returns default capabilities of the classifier.
`double`	`getMeasure(java.lang.String additionalMeasureName)`	Returns the value of the named measure
`java.lang.String`	`getRevision()`	Returns the revision string.
`TechnicalInformation`	`getTechnicalInformation()`	Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
`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, makeCopy, 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
  - getTechnicalInformation
```
public TechnicalInformation getTechnicalInformation()
```
    Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
    
    Specified by:
    
    getTechnicalInformation in interface TechnicalInformationHandler
    
    Returns:
    
    the technical information about this class
  - getCapabilities
```
public Capabilities getCapabilities()
```
    Returns default capabilities of the classifier.
    
    Specified by:
    
    getCapabilities in interface CapabilitiesHandler
    
    Overrides:
    
    getCapabilities in class Classifier
    
    Returns:
    
    the capabilities of this classifier
    
    See Also:
    
    Capabilities
  - buildClassifier
```
public void buildClassifier(Instances instances)
                     throws java.lang.Exception
```
    Generates the classifier.
    
    Specified by:
    
    buildClassifier in class Classifier
    
    Parameters:
    
    instances - the data to train with
    
    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 classify
    
    Returns:
    
    the classification
    
    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 get the distribution for
    
    Returns:
    
    the class probabilities
    
    Throws:
    
    java.lang.Exception - if distribution can't be computed successfully
  - toString
```
public java.lang.String toString()
```
    Returns a description of the classifier.
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    a string representation 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 describing the tree
    
    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:
    
    a description of the model
  - 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
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Overrides:
    
    getRevision in class Classifier
    
    Returns:
    
    the revision
  - main
```
public static void main(java.lang.String[] argv)
```
    Main method for testing this class
    
    Parameters:
    
    argv - the commandline options

Class NBTree

Field Summary

Fields inherited from interface weka.core.Drawable

Constructor Summary

Method Summary

Methods inherited from class weka.classifiers.Classifier

Methods inherited from class java.lang.Object

Constructor Detail

NBTree

Method Detail

globalInfo

getTechnicalInformation

getCapabilities

buildClassifier

classifyInstance

distributionForInstance

toString

graphType

graph

toSummaryString

measureTreeSize

measureNumLeaves

measureNumRules

getMeasure

enumerateMeasures

getRevision

main