How To Fix ACE_ML013 - A total of &1 entries are selected for training.

SAP Error Message - Details

• Message type: E = Error

• Message class: ACE_ML -

• Message number: 013

• Message text: A total of &1 entries are selected 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 ACE_ML013 - A total of &1 entries are selected for training. ?

  The SAP error message ACE_ML013 indicates that a total of &1 entries are selected for training, which typically means that the number of data entries selected for a machine learning model training process is either too high or too low, depending on the context of the operation being performed.
  Cause:
  
  Too Many Entries: If the number of entries is excessively high, it may exceed system limits or performance thresholds, leading to inefficiencies or failures in processing.
  Too Few Entries: Conversely, if the number of entries is too low, it may not provide enough data for the model to learn effectively, resulting in poor model performance.
  Data Quality Issues: The selected entries may contain invalid or incomplete data, which can also trigger this error.
  Configuration Issues: There may be configuration settings in the machine learning framework that limit the number of entries that can be processed.
  
  Solution:
  
  Adjust Data Selection: Review the criteria used to select the training data. Ensure that the number of entries is within a reasonable range for effective training.
  Data Quality Check: Validate the quality of the data being used for training. Ensure that there are no missing values or inconsistencies that could affect the training process.
  Configuration Review: Check the configuration settings for the machine learning model. Adjust any parameters that may limit the number of entries or affect the training process.
  Batch Processing: If the number of entries is too high, consider processing the data in smaller batches to avoid performance issues.
  Consult Documentation: Refer to SAP documentation or support resources for specific guidelines on the limits and best practices for data selection in machine learning scenarios.
  
  Related Information:
  
  SAP Notes and Knowledge Base Articles: Check for any relevant SAP Notes that may address this specific error or provide additional context.
  Machine Learning Best Practices: Familiarize yourself with best practices for preparing data for machine learning in SAP, including data cleansing, normalization, and feature selection.
  Performance Monitoring: Monitor system performance during the training process to identify any bottlenecks or issues that may arise due to the volume of data being processed.
  
  If the issue persists after trying the above solutions, it may be beneficial to reach out to SAP support for further assistance.