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## Package weka.classifiers.trees

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.
NBTree | Class for generating a Naive Bayes tree (decision tree with Naive Bayes classifiers at the leaves).
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.

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