Explain Model

This example shows one method for determing relative "importance" of each Feature based on the algorythm you have chosen for your model. Many other options and approaches are available depending on the machine learning technique you use.. In this case, an example is shown using forward feature addition around a random forrest, since that was the method chosen for the prediction problem. For further information, please refer to the white paper "Taking a proactive approach to GDPR with KNIME"

Explain Model

 

Resources

EXAMPLES Server: 50_Applications/34_GDPR_examples/03_Explain_Model50_Applications/34_GDPR_examples/03_Explain_Model*
Download a zip-archive

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* 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