This category contains 16 nodes.
Class for building a best-first decision tree classifier
Class for building and using a decision stump
Classifier for building 'Functional trees', which are classification trees that could have logistic regression functions at the inner nodes and/or leaves
A Hoeffding tree (VFDT) is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that […]
Class for constructing an unpruned decision tree based on the ID3 algorithm
Implements the isolation forest method for anomaly detection
Class for generating a pruned or unpruned C4.5 decision tree
Class for generating a grafted (pruned or unpruned) C4.5 decision tree
Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves
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