How To Fix RSDME236 - Model field &1 has untrained value

RSDME236 - Overview

• Message type: E = Error

• Message class: RSDME -

• Message number: 236

• Message text: Model field &1 has untrained value

What causes this issue?

The specified model field has values that was not found in the training
data or not considered for a split in the decision tree.

System Response

If this model field is considered for a split in the decision tree,
then only those values on which the split has occured would be
considered valid. Any other value will be treated as missing/unknown.

How to fix this error?

If the specified value was intentional, ignore this warning.
If you get this message in the online prediction screen, then choose
the possible entries function(F4 help) for that model field.

Procedure for System Administrators

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME236 - Model field &1 has untrained value ?

  The SAP error message RSDME236, which states "Model field &1 has untrained value," typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when working with predictive analytics or machine learning models. This error indicates that the model is encountering a value in the specified field that it has not been trained on, which can lead to issues in data processing or analysis.
  
  Cause:
  
  Untrained Values: The model was trained on a specific set of values, and the incoming data contains values that were not present during the training phase.
  Data Quality Issues: There may be inconsistencies or errors in the data being fed into the model, such as typos, missing values, or unexpected categories.
  Model Configuration: The model may not be configured correctly to handle all possible values for the specified field.
  Changes in Data: If the underlying data has changed (e.g., new categories added), the model may need to be