Package | Description |
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weka.classifiers.trees | |
weka.classifiers.trees.adtree |
Class and Description |
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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 |
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ADTree
Class for generating an alternating decision tree.
|
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