There are 5201 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
Class for generating an alternating decision tree.
Class for building a best-first decision tree classifier.
Class for building and using a decision stump.
Class for constructing an unpruned decision tree based on the ID3 algorithm.
Generates an unpruned or pruned C4.5 decision tree (WEKA).
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.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.