| Package | Description |
|---|---|
| weka.classifiers.trees | |
| weka.classifiers.trees.adtree |
| Class and Description |
|---|
| ADTree
Class for generating an alternating decision tree.
|
| BFTree
Class for building a best-first decision tree classifier.
|
| LADTree
Class for generating a multi-class alternating decision tree using the LogitBoost strategy.
|
| LADTree.PredictionNode |
| LADTree.Splitter
splitter classes
|
| RandomTree
Class for constructing a tree that considers K randomly chosen attributes at each node.
|
| REPTree.Tree
An inner class for building and storing the tree structure
|
| SimpleCart
Class implementing minimal cost-complexity pruning.
Note when dealing with missing values, use "fractional instances" method instead of surrogate split method. For more information, see: Leo Breiman, Jerome H. |
| Class and Description |
|---|
| ADTree
Class for generating an alternating decision tree.
|
Copyright © 2015 University of Waikato, Hamilton, NZ. All rights reserved.