Node Connectivity
There are 3058 nodes that can be used as successor
for a node with an output port of type 
Table.
NBTree (3.7)
Class for generating a decision tree with naive Bayes classifiers at the leaves. For more information, see Ron Kohavi: Scaling Up the Accuracy of […]
REPTree (3.7)
Fast decision tree learner
RandomForest (3.7)
Class for constructing a forest of random trees. For more information see: Leo Breiman (2001)
RandomTree (3.7)
Class for constructing a tree that considers K randomly chosen attributes at each node
SimpleCart (3.7)
Class implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split […]
JCBA (3.7)
A Java implementation of the CBA algorithm
WeightedClassifier (3.7)
Classifier that weights a set of class association rules
ConjunctiveRule (3.7)
This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels. A rule consists of antecedents "AND"ed […]
DTNB (3.7)
Class for building and using a decision table/naive bayes hybrid classifier
DecisionTable (3.7)
Class for building and using a simple decision table majority classifier. For more information see: Ron Kohavi: The Power of Decision Tables