Weka Classifier — NodePit

There are 92 nodes that can be used as predessesor for a node with an input port of type

Class for constructing an unpruned decision tree based on the ID3 algorithm.

Class for generating an alternating decision tree.

Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves.

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.

Node Connectivity