How To Fix RSPLF345 - Root of mean squared error (RMSE): &1

SAP Error Message - Details

• Message type: E = Error

• Message class: RSPLF - Planning Framework

• Message number: 345

• Message text: Root of mean squared error (RMSE): &1

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSPLF345 - Root of mean squared error (RMSE): &1 ?

  The SAP error message RSPLF345, which refers to the "Root of Mean Squared Error (RMSE): &1," typically occurs in the context of SAP BW (Business Warehouse) or SAP Analytics when dealing with planning functions or predictive analytics. This error indicates that there is an issue with the calculation of RMSE, which is a common metric used to assess the accuracy of a model's predictions.
  Cause:
  
  Data Quality Issues: The underlying data used for the calculation may contain errors, missing values, or outliers that can skew the RMSE calculation.
  Model Configuration: The planning function or predictive model may not be configured correctly, leading to incorrect calculations.
  Insufficient Data: There may not be enough data points to perform a reliable RMSE calculation, especially if the dataset is too small.
  Technical Issues: There could be technical issues within the SAP BW system, such as problems with the data source or the execution of the planning function.
  
  Solution:
  
  Check Data Quality: Review the data being used for the RMSE calculation. Ensure that there are no missing values, outliers, or inconsistencies. Clean the data as necessary.
  Review Model Configuration: Verify that the planning function or predictive model is set up correctly. Check the parameters and settings to ensure they align with the intended analysis.
  Increase Data Volume: If the dataset is too small, try to include more data points to improve the reliability of the RMSE calculation.
  Debugging: Use transaction codes like RSA1 (Data Warehousing Workbench) or RSPC (Process Chain) to analyze the data flow and identify any issues in the data extraction or transformation processes.
  Consult Documentation: Refer to SAP documentation or help resources for specific guidance on RMSE calculations and related planning functions.
  Contact SAP Support: If the issue persists after checking the above points, consider reaching out to SAP support for further assistance.
  
  Related Information:
  
  RMSE Definition: RMSE is a standard way to measure the error of a model in predicting quantitative data. It is the square root of the average of squared differences between predicted and observed values.
  Use Cases: RMSE is commonly used in regression analysis, forecasting, and other predictive modeling scenarios.
  SAP BW/4HANA: If you are using SAP BW/4HANA, ensure that you are familiar with the specific features and functionalities related to predictive analytics and planning.
  
  By addressing the potential causes and following the suggested solutions, you should be able to resolve the RSPLF345 error and successfully calculate the RMSE in your SAP environment.