How To Fix RSDME112 - Data mining model &1 is not ready for prediction

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 112

• Message text: Data mining model &1 is not ready for prediction

What causes this issue?

Model is not ready for prediction due to either of the following
reasons:
The model or source is not activated.
The model is not trained.

System Response

The operation is terminated.

How to fix this error?

Activate the model or source or train the model, whichever is
applicable.

Procedure for System Administrators

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME112 - Data mining model &1 is not ready for prediction ?

  The SAP error message RSDME112, which states "Data mining model &1 is not ready for prediction," typically indicates that the data mining model you are trying to use for prediction has not been properly trained or is not in a state that allows it to be used for making predictions. Here are some common causes, solutions, and related information for this error:
  Causes:
  
  Model Not Trained: The data mining model has not been trained yet. A model must be trained on a dataset before it can be used for predictions.
  Model Training Failed: The training process may have encountered errors, leading to an incomplete or invalid model.
  Model Status: The model may be in a status that does not allow predictions (e.g., it might be in a "draft" state).
  Data Issues: There may be issues with the data used for training, such as missing values or incorrect data types.
  Versioning Issues: If the model has been updated or modified, it may need to be retrained or revalidated.
  
  Solutions:
  
  Train the Model: Ensure that the model has been properly trained. Go through the training process again and check for any errors during training.
  Check Model Status: Verify the status of the model in the SAP system. It should be in a "ready" state for predictions. If it is not, you may need to change its status.
  Review Training Logs: Check the logs or messages generated during the training process to identify any issues that may have occurred.
  Validate Data: Ensure that the data used for training is clean and meets the requirements for the model. Address any data quality issues.
  Revalidate the Model: If the model has been modified, revalidate it to ensure it is ready for predictions.
  Consult Documentation: Refer to SAP documentation or help resources for specific instructions related to the data mining model you are using.
  
  Related Information:
  
  SAP Data Mining: Familiarize yourself with the concepts of data mining in SAP, including how models are created, trained, and used for predictions.
  SAP Notes: Check SAP Notes for any known issues or patches related to the specific version of SAP you are using.
  Community Forums: Engage with SAP community forums or support channels for additional insights and troubleshooting tips from other users who may have encountered similar issues.
  
  By following these steps, you should be able to diagnose and resolve the issue related to the RSDME112 error message.