How To Fix FVD_ML090 - No data selected for prediction

SAP Error Message - Details

• Message type: E = Error

• Message class: FVD_ML - Machine Learning

• Message number: 090

• Message text: No data selected for prediction

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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Smart SAP Assistant

• What is the cause and solution for SAP error message FVD_ML090 - No data selected for prediction ?

  The SAP error message FVD_ML090: No data selected for prediction typically occurs in the context of predictive analytics or machine learning scenarios within SAP systems, particularly when using the SAP Predictive Analytics or SAP S/4HANA environments. This error indicates that the system was unable to find any relevant data to perform the requested prediction.
  Causes:
  
  Insufficient Data: There may not be enough historical data available for the model to make a prediction. This could be due to a lack of records in the relevant database tables.
  Data Filters: The selection criteria or filters applied to the data may be too restrictive, resulting in no data being returned for the prediction.
  Data Quality Issues: The data may be incomplete, inconsistent, or not formatted correctly, leading to the inability to select data for prediction.
  Model Configuration: The predictive model may not be properly configured or trained, which can lead to issues in data selection.
  Time Frame: The time frame for the prediction may not align with the available data, meaning there are no records to predict against.
  
  Solutions:
  
  Check Data Availability: Ensure that there is sufficient historical data in the relevant tables. You can run queries to verify the presence of data.
  Review Filters: Examine any filters or selection criteria applied to the data. Adjust them to be less restrictive if necessary.
  Data Quality Assessment: Perform a data quality check to ensure that the data is complete and correctly formatted. Cleanse the data if needed.
  Model Training: If applicable, retrain the predictive model with a larger dataset or adjust the model parameters to improve its ability to select data.
  Adjust Time Frame: Ensure that the time frame for the prediction aligns with the available data. Modify the time frame if necessary.
  Logs and Traces: Check system logs or traces for additional error messages or warnings that may provide more context about the issue.
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for predictive analytics and machine learning for specific guidelines on data requirements and model configuration.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they found effective.
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide patches and updates that could resolve the issue.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.