How To Fix RSDME107 - Data mining model &1 has errors; see log

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 107

• Message text: Data mining model &1 has errors; see log

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.

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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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME107 - Data mining model &1 has errors; see log ?

  The SAP error message RSDME107 indicates that there are errors in a data mining model, and it prompts the user to check the log for more details. This error typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when working with data mining models in the SAP Predictive Analytics or SAP BW/4HANA environments.
  Causes:
  
  Model Configuration Issues: The data mining model may not be configured correctly. This could include incorrect parameters, missing attributes, or invalid settings.
  Data Quality Issues: The underlying data used for training the model may have quality issues, such as missing values, incorrect data types, or outliers that affect the model's ability to process the data.
  Insufficient Data: The model may not have enough data to train effectively, leading to errors during the model creation or execution.
  Technical Errors: There could be technical issues related to the SAP system, such as connectivity problems, system resource limitations, or bugs in the software.
  
  Solutions:
  
  
  Check the Log: The first step is to check the detailed log associated with the error. This log will provide specific information about what went wrong during the model creation or execution. You can usually find this log in the SAP GUI or the relevant transaction code (e.g., RSD1 for InfoObjects).
  
  
  Review Model Configuration: Go through the configuration settings of the data mining model. Ensure that all parameters are set correctly and that all required attributes are included.
  
  
  Validate Data Quality: Examine the data used for the model. Look for missing values, incorrect data types, and other data quality issues. Clean the data as necessary to ensure it meets the requirements for the model.
  
  
  Increase Data Volume: If the model is not trained on enough data, consider increasing the volume of data used for training. This may involve aggregating more historical data or ensuring that the data source is correctly configured.
  
  
  Check System Resources: Ensure that the SAP system has sufficient resources (memory, CPU) to handle the data mining operations. If necessary, consult with your system administrator to optimize system performance.
  
  
  Consult Documentation: Refer to SAP documentation or community forums for additional insights or similar issues encountered by other users.
  
  
  Contact SAP Support: If the issue persists and you cannot resolve it, consider reaching out to SAP support for assistance. Provide them with the error message and any relevant logs for further analysis.
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as RSD1 (for InfoObjects), RSD2 (for DataStore Objects), and RSD3 (for InfoProviders) to navigate through the SAP BW environment.
  SAP Notes: Check for any SAP Notes related to data mining models and the specific error message. SAP Notes often contain patches or workarounds for known issues.
  Training and Documentation: Consider training resources or documentation on SAP Predictive Analytics and data mining best practices to enhance your understanding and troubleshooting skills.
  
  By following these steps, you should be able to identify and resolve the issues causing the RSDME107 error in your SAP environment.