Package <Unnamed>

Class Summary
Attribute A class describing an attribute in a machine learning problem: in particular, the name of the attribute and the values it can take
AttributeSet AttributeSet encapsulates the set of attributes for a given machine learning problem.
Classifier The Classifier class represents an algorithm for classifying the instances of a particular machine learning problem.
DecisionStump The DecisionStump class implements a 1-level decision tree
DecisionTree Implements a simple decision tree classifier with no pruning.
DecisionTreeNode A DecisionTreeNode represents a single node in a decision tree.
NaiveBayes The NaiveBayes class implements the naive Bayes classification algorithm (i.e.
OneRClassifier The OneRClassifier class implements the 1R classification algorithm