How To Fix CM_EHDGM_CLFN_PDCTN021 - An error occured executing the classification prediction

CM_EHDGM_CLFN_PDCTN021 - Overview

• Message type: E = Error

• Message class: CM_EHDGM_CLFN_PDCTN - Messages for Classification Prediction Integration

• Message number: 021

• Message text: An error occured executing the classification 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 CM_EHDGM_CLFN_PDCTN021 - An error occured executing the classification prediction ?

  The SAP error message CM_EHDGM_CLFN_PDCTN021 indicates that there was an issue while executing a classification prediction in the SAP system. This error typically arises in the context of SAP's Advanced Analytics or Machine Learning functionalities, particularly when using classification models.
  Possible Causes:
  
  Data Quality Issues: The input data may contain missing values, incorrect formats, or outliers that the model cannot handle.
  Model Configuration: The classification model may not be properly configured or trained, leading to execution errors.
  Insufficient Resources: The system may lack the necessary computational resources (memory, CPU) to execute the prediction.
  Version Compatibility: There may be compatibility issues between the SAP system version and the machine learning libraries or models being used.
  Authorization Issues: The user executing the prediction may not have the necessary permissions to access the required data or execute the model.
  
  Solutions:
  
  Check Input Data: Ensure that the data being fed into the classification model is clean, complete, and in the correct format.