- classifyInstance
Classifies a given test instance using the decision tree.
- computeEntropy
Computes the entropy of a dataset.
- computeInfoGain
Computes information gain for an attribute.
- distributionForInstance
Computes class distribution for instance using decision tree.
- getCapabilities
Returns default capabilities of the classifier.
- getTechnicalInformation
Returns an instance of a TechnicalInformation object, containing detailed
information about the tech
- makeTree
Method for building an Id3 tree.
- runClassifier
- splitData
Splits a dataset according to the values of a nominal attribute.
- toSource
Returns a string that describes the classifier as source. The classifier will be
contained in a clas
- toString
Outputs a tree at a certain level.