How To Fix RS_DME_SC040 - Train the model again, otherwise the prediction is restricted

SAP Error Message - Details

• Message type: E = Error

• Message class: RS_DME_SC - Messages for Scoring

• Message number: 040

• Message text: Train the model again, otherwise the prediction is restricted

What causes this issue?

Regression cannot be performed with data records occurring outside of
the definition set of the trained function. Moreover, regression cannot
be performed independently of the discrete model fields because the
necessary data cannot be generated yet in training this model.

System Response

In the case of data records that occur outside of the definition set of
the trained function, the default score is used.

How to fix this error?

If you train the model again, then the necessary data is generated for
performing a regression independently of the discrete model fields. If
you do not set the <LS>Prediction Only in Trained Domain</>, then a
regression is performed independently of the discrete model fields in
the case of data records that do not fall in the definition area of the
trained function.

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 RS_DME_SC040 - Train the model again, otherwise the prediction is restricted ?

  The SAP error message RS_DME_SC040, which states "Train the model again, otherwise the prediction is restricted," typically occurs in the context of SAP's predictive analytics or machine learning functionalities, particularly when using the Data Mining and Predictive Analytics (DMPA) tools.
  Cause:
  This error generally indicates that the predictive model you are trying to use has not been trained recently or has become outdated. The model may have been trained on data that is no longer relevant, or the underlying data has changed significantly since the last training session. As a result, the system restricts predictions to ensure that the results are reliable and based on the most current data.
  Solution:
  To resolve this error, you should retrain the predictive model. Here are the steps you can follow:
  
  
  Access the Model: Navigate to the predictive model that is generating the error in your SAP environment.
  
  
  Check Data: Ensure that the data used for training the model is up-to-date and relevant. If there have been changes in the data structure or the data itself, you may need to adjust your training dataset accordingly.
  
  
  Retrain the Model:
  
  Use the appropriate tools in SAP to retrain the model. This may involve selecting the training dataset and running the training process again.
  Monitor the training process for any errors or warnings that may indicate issues with the data or model configuration.
  
  
  
  Validate the Model: After retraining, validate the model to ensure that it performs as expected. This may involve running test predictions and comparing them against known outcomes.
  
  
  Deploy the Model: Once validated, deploy the model for use in predictions.
  
  
  Related Information:
  
  Model Versioning: Keep track of different versions of your models. This can help you understand when a model was last trained and what data was used.
  Data Quality: Ensure that the data used for training is of high quality. Poor data quality can lead to inaccurate predictions and may necessitate more frequent retraining.
  Monitoring: Implement monitoring for your predictive models to track their performance over time. This can help you identify when a model may need to be retrained.
  Documentation: Refer to SAP's official documentation for specific instructions related to the version of SAP you are using, as the steps may vary slightly depending on the tools and functionalities available.
  
  By following these steps, you should be able to resolve the RS_DME_SC040 error and ensure that your predictive models are functioning correctly.