How To Fix RSANA_UMM_API320 - Check that prediction type matches target type and try again.

SAP Error Message - Details

• Message type: E = Error

• Message class: RSANA_UMM_API - UMM API Messages

• Message number: 320

• Message text: Check that prediction type matches target type and try again.

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSANA_UMM_API320 - Check that prediction type matches target type and try again. ?

  The SAP error message RSANA_UMM_API320 typically occurs in the context of SAP Analytics or SAP Predictive Analytics when there is a mismatch between the prediction type and the target type in a predictive model. This error indicates that the system is unable to process the prediction request because the types do not align correctly.
  Cause:
  
  Mismatched Data Types: The prediction type (e.g., classification, regression) does not match the target variable's data type. For example, if you are trying to perform a classification task but the target variable is numeric (which is typically used for regression), this error will occur.
  Incorrect Model Configuration: The model may have been configured incorrectly, leading to a mismatch between the expected input and output types.
  Data Preparation Issues: The data used for training the model may not have been prepared correctly, leading to inconsistencies in the expected types.
  
  Solution:
  
  
  Check Prediction Type: Ensure that the prediction type you are using (e.g., classification, regression) matches the type of the target variable. For instance:
  
  Use classification for categorical target variables.
  Use regression for continuous target variables.
  
  
  
  Review Model Configuration: Go through the model settings and ensure that they are correctly set up to match the data types of your input and target variables.
  
  
  Data Validation: Validate the data being used for training and prediction. Ensure that the target variable is correctly defined and that there are no data type inconsistencies.
  
  
  Recreate the Model: If the issue persists, consider recreating the model from scratch, ensuring that all settings and data types are correctly aligned.
  
  
  Consult Documentation: Refer to the SAP documentation for the specific predictive analytics tool you are using to understand the requirements for prediction types and target types.
  
  
  Related Information:
  
  SAP Predictive Analytics Documentation: Check the official SAP documentation for guidelines on setting up predictive models and understanding data types.
  SAP Community: Engage with the SAP Community forums to see if others have encountered similar issues and what solutions they found effective.
  Error Logs: Review any error logs or detailed messages provided by the system to gain more insight into the specific cause of the error.
  
  By following these steps, you should be able to resolve the RSANA_UMM_API320 error and successfully run your predictive analytics tasks.