Table — NodePit

There are 3058 nodes that can be used as successor for a node with an output port of type

M5Base. Implements base routines for generating M5 Model trees and rules.

Class for generating a decision tree with naive Bayes classifiers at the leaves.

Fast decision tree learner.

Class for constructing a forest of random trees.

Class for constructing a tree that considers K randomly chosen attributes at each node.

Class implementing minimal cost-complexity pruning.

Interactively classify through visual means.

This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels.

Class for building and using a simple decision table majority classifier.

This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER).

Node Connectivity