This workflow explains how to train a GBM classifier in H2O, predict classes of new data and evaluate the performance.
EXAMPLES Server: 07_Scripting/05_H2O_Machine_Learning/02_H2O_GBM_Classification_Model07_Scripting/05_H2O_Machine_Learning/02_H2O_GBM_Classification_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