How To Fix FVD_ML030 - Minimum data set &1 is less than &2 for group ID &3 for training


SAP Error Message - Details

  • Message type: E = Error

  • Message class: FVD_ML - Machine Learning

  • Message number: 030

  • Message text: Minimum data set &1 is less than &2 for group ID &3 for training

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  • 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.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    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 FVD_ML030 - Minimum data set &1 is less than &2 for group ID &3 for training ?

    The SAP error message FVD_ML030 indicates that the minimum data set required for a specific group ID is less than what is needed for processing. This error typically arises in the context of financial or data processing modules within SAP, particularly when dealing with master data or transaction data that is expected to meet certain criteria.

    Cause:

    1. Insufficient Data: The error suggests that the data set associated with the specified group ID does not meet the minimum requirements set by the system. This could be due to missing entries, incomplete records, or insufficient data points for the calculations or processes being executed.
    2. Configuration Issues: There may be configuration settings in the system that define the minimum data requirements for processing. If these settings are not aligned with the actual data available, this error can occur.
    3. Data Integrity Issues: There might be issues with data integrity, such as duplicate entries, incorrect data formats, or inconsistencies in the data that prevent the system from recognizing the data set as valid.

    Solution:

    1. Check Data Completeness: Review the data associated with the group ID mentioned in the error message. Ensure that all required fields are populated and that there are no missing entries.
    2. Review Configuration Settings: Check the configuration settings related to the minimum data requirements for the specific process or module you are working with. Adjust these settings if necessary to align with the available data.
    3. Data Validation: Perform data validation checks to ensure that the data is accurate and consistent. This may involve running reports or using data analysis tools to identify any discrepancies.
    4. Consult Documentation: Refer to SAP documentation or help resources for specific guidelines on the minimum data requirements for the process you are working with. This can provide insights into what is expected.
    5. Contact Support: If the issue persists after checking the data and configuration, consider reaching out to SAP support or your internal IT team for further assistance. They may have additional tools or insights to help resolve the issue.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes that may help in analyzing or correcting the data, such as SE16 (Data Browser) or SE11 (Data Dictionary).
    • SAP Notes: Check for any SAP Notes related to the error message FVD_ML030, as these may provide specific fixes or patches that address known issues.
    • Training Resources: If you are undergoing training, ensure that you understand the data requirements for the specific module you are working with, as this will help prevent similar errors in the future.

    By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.

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