This workflow shows how the tree ensemble nodes can be used for regression and classification tasks. Note: If you want to deploy a random forest, we recommend to use the less complex random forest nodes.
EXAMPLES Server: 04_Analytics/13_Meta_Learning/03_Learning_a_Tree_Ensemble_Model04_Analytics/13_Meta_Learning/03_Learning_a_Tree_Ensemble_Model*
Download a zip-archive
* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually