How To Fix RSDME303 - No relevant model fields found for training

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 303

• Message text: No relevant model fields found for training

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME303 - No relevant model fields found for training ?

  The SAP error message RSDME303, which states "No relevant model fields found for training," typically occurs in the context of SAP BW (Business Warehouse) or SAP BW/4HANA when you are trying to train a predictive model using the SAP Predictive Analytics or SAP BW/4HANA's integrated predictive capabilities.
  Cause:
  This error usually arises due to one or more of the following reasons:
  
  
  Missing or Incorrect Model Fields: The model you are trying to train does not have the necessary fields defined. This could be due to missing characteristics or key figures in the InfoProvider that are required for the predictive model.
  
  
  Data Quality Issues: The data in the InfoProvider may not meet the requirements for training. This could include issues like missing values, incorrect data types, or insufficient data volume.
  
  
  Model Configuration: The configuration of the predictive model may not be set up correctly, leading to the system being unable to identify relevant fields.
  
  
  Incompatible Data Types: The fields in the model may not be compatible with the expected data types for training.
  
  
  Solution:
  To resolve the RSDME303 error, you can take the following steps:
  
  
  Check Model Fields:
  
  Ensure that the model you are trying to train has the necessary fields defined. Go to the model configuration and verify that all required fields are included.
  
  
  
  Review Data Quality:
  
  Check the data in the InfoProvider for completeness and correctness. Ensure that there are no missing values and that the data types are appropriate for the model.
  
  
  
  Adjust Model Configuration:
  
  Review the configuration settings of the predictive model. Make sure that the settings align with the data you are using for training.
  
  
  
  Data Preparation:
  
  If necessary, preprocess the data to handle missing values, outliers, or incorrect data types. You may need to create derived fields or aggregate data to meet the model's requirements.
  
  
  
  Test with Sample Data:
  
  If possible, test the model with a smaller subset of data to see if the issue persists. This can help isolate whether the problem is with the data or the model configuration.
  
  
  
  Consult Documentation:
  
  Refer to the SAP documentation for predictive modeling to ensure that you are following the correct procedures and guidelines.
  
  
  
  Check SAP Notes:
  
  Look for any relevant SAP Notes or updates that might address this specific error or provide additional guidance.
  
  
  
  Related Information:
  
  SAP BW/4HANA Documentation: Review the official SAP documentation for BW/4HANA and predictive analytics for detailed guidance on model training and data requirements.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have found.
  SAP Support: If the issue persists after trying the above solutions, consider reaching out to SAP Support for further assistance.
  
  By following these steps, you should be able to identify and resolve the underlying cause of the RSDME303 error message.