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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.trees.Id3
public class Id3
Class for constructing an unpruned decision tree based on the ID3 algorithm. Can only deal with nominal attributes. No missing values allowed. Empty leaves may result in unclassified instances. For more information see:
R. Quinlan (1986). Induction of decision trees. Machine Learning. 1(1):81-106.
@article{Quinlan1986,
author = {R. Quinlan},
journal = {Machine Learning},
number = {1},
pages = {81-106},
title = {Induction of decision trees},
volume = {1},
year = {1986}
}
Valid options are:
-D If set, classifier is run in debug mode and may output additional info to the console
| Constructor Summary | |
|---|---|
Id3()
|
|
| Method Summary | |
|---|---|
void |
buildClassifier(Instances data)
Builds Id3 decision tree classifier. |
double |
classifyInstance(Instance instance)
Classifies a given test instance using the decision tree. |
double[] |
distributionForInstance(Instance instance)
Computes class distribution for instance using decision tree. |
Capabilities |
getCapabilities()
Returns default capabilities of the classifier. |
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 the classifier. |
static void |
main(java.lang.String[] args)
Main method. |
java.lang.String |
toSource(java.lang.String className)
Returns a string that describes the classifier as source. |
java.lang.String |
toString()
Prints the decision tree using the private toString method from below. |
| 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 |
|---|
public Id3()
| Method Detail |
|---|
public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class ClassifierCapabilities
public void buildClassifier(Instances data)
throws java.lang.Exception
buildClassifier in class Classifierdata - the training data
java.lang.Exception - if classifier can't be built successfully
public double classifyInstance(Instance instance)
throws NoSupportForMissingValuesException
classifyInstance in class Classifierinstance - the instance to be classified
NoSupportForMissingValuesException - if instance has missing values
public double[] distributionForInstance(Instance instance)
throws NoSupportForMissingValuesException
distributionForInstance in class Classifierinstance - the instance for which distribution is to be computed
NoSupportForMissingValuesException - if instance has missing valuespublic java.lang.String toString()
toString in class java.lang.Object
public java.lang.String toSource(java.lang.String className)
throws java.lang.Exception
public static double classify(Object[] i);
where the array i contains elements that are either
Double, String, with missing values represented as null. The generated
code is public domain and comes with no warranty.
toSource in interface SourcableclassName - the name that should be given to the source class.
java.lang.Exception - if the source can't be computedpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class Classifierpublic static void main(java.lang.String[] args)
args - the options for the classifier
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