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