How To Fix RS_DME_SC008 - Scoring model is consistent

RS_DME_SC008 - Overview

• Message type: E = Error

• Message class: RS_DME_SC - Messages for Scoring

• Message number: 008

• Message text: Scoring model is consistent

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message RS_DME_SC008 - Scoring model is consistent ?

  The SAP error message RS_DME_SC008, which states "Scoring model is consistent," typically occurs in the context of SAP's Data Mining and Predictive Analytics functionalities. This message indicates that the scoring model you are trying to use is consistent, meaning that it has been validated and is ready for use. However, it may also imply that there is an issue with how you are trying to execute or apply the scoring model.
  Possible Causes:
  
  Model Validation: The scoring model has been validated successfully, but there may be issues with the data being fed into the model.
  Data Issues: The input data may not match the expected format or structure required by the scoring model.
  Execution Context: The context in which you are trying to execute the scoring model may not be set up correctly (e.g., missing parameters or incorrect settings).
  Versioning: There may be a mismatch between the version of the scoring model and the data