| weka.classifiers.trees |
|
| Java Source File Name | Type | Comment |
| ADTree.java | Class |
Class for generating an alternating decision tree. |
| BFTree.java | Class |
Class for building a best-first decision tree classifier. |
| DecisionStump.java | Class |
Class for building and using a decision stump. |
| Id3.java | Class |
Class for constructing an unpruned decision tree based on the ID3 algorithm. |
| J48.java | Class |
Class for generating a pruned or unpruned C4.5 decision tree. |
| LMT.java | Class |
Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves. |
| M5P.java | Class |
M5Base. |
| NBTree.java | Class |
Class for generating a decision tree with naive Bayes classifiers at the leaves.
For more information, see
Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. |
| RandomForest.java | Class |
Class for constructing a forest of random trees.
For more information see:
Leo Breiman (2001). |
| RandomTree.java | Class |
Class for constructing a tree that considers K randomly chosen attributes at each node. |
| REPTree.java | Class |
Fast decision tree learner. |
| SimpleCart.java | Class |
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. |
| UserClassifier.java | Class |
Interactively classify through visual means. |