Housing Value Regression with XGBoost

This workflow shows how the XGBoost nodes can be used for regression tasks.
It also demonstrates a combination of parameter optimization with cross validation to find the optimal value for the number of boosting rounds.

Housing Value Regression with XGBoost



EXAMPLES Server: 04_Analytics/16_XGBoost/02_Housing_Value_Regression_with_XGBoost04_Analytics/16_XGBoost/02_Housing_Value_Regression_with_XGBoost*
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