|
Class Summary |
| DecisionStump |
Class for building and using a decision stump. |
| J48 |
Class for generating a pruned or unpruned C4.5 decision tree. |
| LMT |
Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves. |
| M5P |
M5Base. |
| RandomForest |
Class for constructing a forest of random trees.
For more information see:
Leo Breiman (2001). |
| RandomTree |
Class for constructing a tree that considers K randomly chosen attributes at each node. |
| REPTree |
Fast decision tree learner. |