Package weka.classifiers.trees

Class Summary
ADTree Class for generating an alternating decision tree.
DecisionStump Class for building and using a decision stump.
Id3 Class implementing an Id3 decision tree classifier.
J48 Class for generating an unpruned or a pruned C4.5 decision tree.
LMT Class for "logistic model tree" classifier.
M5P M5P.
RandomForest Class for constructing random forests.
RandomTree Class for constructing a tree that considers K random features at each node.
REPTree Fast decision tree learner.
UserClassifier Class for generating an user defined decision tree.
 



Copyright (c) 2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London