How To Fix RSDME013 - Training of data mining model &1 ended with errors

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 013

• Message text: Training of data mining model &1 ended with errors

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 RSDME013 - Training of data mining model &1 ended with errors ?

  The SAP error message RSDME013 indicates that the training of a data mining model has failed due to errors. This error can occur in the context of SAP BW (Business Warehouse) or SAP HANA when working with data mining and predictive analytics.
  Causes of RSDME013 Error
  
  
  Data Quality Issues: The data used for training the model may contain missing values, outliers, or incorrect data types that prevent successful training.
  
  
  Insufficient Data: The dataset may not have enough records to train the model effectively, leading to errors during the training process.
  
  
  Configuration Errors: There may be issues with the configuration of the data mining model, such as incorrect parameters or settings.
  
  
  Technical Issues: There could be underlying technical issues, such as problems with the database connection, memory limitations, or system resource constraints.
  
  
  Model Complexity: The complexity of the model being trained may exceed the capabilities of the system or the available data.
  
  
  Solutions to RSDME013 Error
  
  
  Check Data Quality:
  
  Review the dataset for missing values, duplicates, and outliers.
  Clean the data by handling missing values (e.g., imputation) and removing or correcting erroneous records.
  
  
  
  Increase Dataset Size:
  
  Ensure that there is a sufficient amount of data for training. If necessary, gather more data or use a different dataset.
  
  
  
  Review Model Configuration:
  
  Check the settings and parameters of the data mining model. Ensure that they are appropriate for the type of analysis being performed.
  
  
  
  Monitor System Resources:
  
  Check the system resources (CPU, memory, disk space) to ensure that there are no limitations affecting the training process.
  If necessary, increase the resources allocated to the SAP system.
  
  
  
  Review Logs and Error Messages:
  
  Look at the detailed logs and error messages generated during the training process. These logs can provide specific information about what went wrong.
  Use transaction codes like SLG1 (Application Log) to find more details about the error.
  
  
  
  Test with Simpler Models:
  
  If the model is complex, try training a simpler model first to see if it succeeds. This can help identify if the complexity is the issue.
  
  
  
  Consult Documentation:
  
  Refer to SAP documentation or help resources for specific guidance related to the data mining model you are using.
  
  
  
  Seek Support:
  
  If the issue persists, consider reaching out to SAP support or consulting with a technical expert who specializes in SAP BW or data mining.
  
  
  
  Related Information
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as RSD1 (DataSource), RSD3 (InfoObject), and RSD5 (Data Mining Workbench) for managing data mining models.
  SAP Notes: Check SAP Notes for any known issues or patches related to the specific version of SAP you are using.
  Community Forums: Engage with SAP community forums or user groups for additional insights and shared experiences from other users facing similar issues.
  
  By following these steps, you should be able to diagnose and resolve the RSDME013 error effectively.