How To Fix RSDME814 - Data mining model &1 is not trained; train model before prediction

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 814

• Message text: Data mining model &1 is not trained; train model before prediction

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME814 - Data mining model &1 is not trained; train model before prediction ?

  The SAP error message RSDME814 indicates that a data mining model has not been trained yet, and therefore, predictions cannot be made using that model. This error typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when working with data mining or predictive analytics.
  Cause:
  The primary cause of this error is that the data mining model you are trying to use for making predictions has not undergone the training process. A data mining model requires a training phase where it learns from historical data before it can be used to make predictions on new data.
  Solution:
  To resolve this error, you need to train the data mining model before attempting to make predictions. Here are the steps to do this:
  
  
  Access the Data Mining Workbench: Go to the SAP Data Mining Workbench or the relevant transaction code where you manage your data mining models.
  
  
  Select the Model: Locate the specific data mining model that is generating the error.
  
  
  Train the Model:
  
  Look for an option to "Train" or "Execute" the model. This may be labeled differently depending on the version of SAP you are using.
  Ensure that you have the necessary training data available and that it is properly formatted and pre-processed.
  
  
  
  Monitor the Training Process: Once you initiate the training, monitor the process to ensure it completes successfully. Check for any additional error messages that may indicate issues with the training data.
  
  
  Validate the Model: After training, it is a good practice to validate the model to ensure it performs as expected.
  
  
  Make Predictions: Once the model is trained and validated, you can proceed to make predictions without encountering the RSDME814 error.
  
  
  Related Information:
  
  Model Types: Understand the type of data mining model you are working with (e.g., classification, regression, clustering) as this may affect the training process.
  Data Quality: Ensure that the data used for training is of high quality, as poor data can lead to ineffective models.
  Documentation: Refer to SAP documentation or help resources for specific instructions related to your version of SAP and the data mining tools you are using.
  Performance Monitoring: After training, monitor the model's performance over time to ensure it continues to provide accurate predictions.
  
  By following these steps, you should be able to resolve the RSDME814 error and successfully train your data mining model for future predictions.