Public

This directory contains 2 workflows.

01_Example_for_Learning_a_Decision_Tree_flights_sample_dataset

After the data is partitioned into train and test set, a decision tree model is trained and applied.

KNIME_Different parameter values ex decision tree

Contact

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, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.

Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.

NodePit is the world’s first and most comprehensive search engine that allows you to easily search, find and install KNIME nodes and workflows. Explore the KNIME community’s variety. Start mining and follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.

Impressum / Imprint
Datenschutzerklärung / Privacy Policy
Status

Thank you to the following supporters — without them, NodePit would not be possible!

Legal info: The KNIME® trademark is registered in the United States and Germany by the KNIME GmbH. NodePit is not affiliated with KNIME®.

Public

01_​Example_​for_​Learning_​a_​Decision_​Tree_​flights_​sample_​dataset

KNIME_​Different parameter values ex decision tree

01_Example_for_Learning_a_Decision_Tree_flights_sample_dataset

KNIME_Different parameter values ex decision tree