How To Fix RSDME012 - Data mining model &1 successfully trained

RSDME012 - Overview

• Message type: E = Error

• Message class: RSDME -

• Message number: 012

• Message text: Data mining model &1 successfully trained

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?

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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 RSDME012 - Data mining model &1 successfully trained ?

  The SAP error message RSDME012 indicates that a data mining model has been successfully trained. This message is not an error in the traditional sense; rather, it is an informational message that confirms the successful completion of the training process for a data mining model in SAP BW (Business Warehouse) or SAP HANA.
  
  Cause:
  
  The message is generated when a data mining model (e.g., a classification or regression model) has been trained without any issues. It signifies that the model is ready for use in making predictions or analyses based on the training data provided.
  
  
  Solution:
  Since RSDME012 is an informational message indicating success, there is no action required to resolve an error. However, if you are looking to proceed after receiving this message, you can:
  
  
  Validate the Model: After training, it is advisable to validate the model's performance using a test dataset to ensure it meets your expectations in terms of accuracy and reliability.
  
  
  Deploy