Learning a Random Forest

This workflow shows how the random forest nodes can be used for classification and regression tasks. It also shows how the "Out-of-bag" data that each random forest learner calculates can be used to estimate the accuracy of a random forest.

Learning a Random Forest

 

Resources

EXAMPLES Server: 04_Analytics/13_Meta_Learning/02_Learning_a_Random_Forest04_Analytics/13_Meta_Learning/02_Learning_a_Random_Forest*
Download a zip-archive

References:

 

 


* 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