How To Fix RSDME313 - No valid model fields found for decision tree training

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 313

• Message text: No valid model fields found for decision tree training

What causes this issue?

No valid model fields found for training.
The SAP decision tree can only take attributes of content type ORDERED,
DISCRETE and CONTINUOUS.

System Response

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

How to fix this error?

Update the model fields to include any of the allowed content types.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME313 - No valid model fields found for decision tree training ?

  The SAP error message RSDME313, which states "No valid model fields found for decision tree training," typically occurs in the context of using the SAP Business Warehouse (BW) or SAP HANA for predictive analytics, particularly when trying to train a decision tree model. This error indicates that the system could not find any valid fields in the data model that can be used for training the decision tree.
  Causes:
  
  
  Missing or Incorrect Data Fields: The data model may not contain the necessary fields required for training the decision tree. This could be due to missing fields, incorrect data types, or fields that are not suitable for the model.
  
  
  Data Quality Issues: The data may have quality issues such as null values, incorrect formats, or inconsistent data types that prevent the model from identifying valid fields.
  
  
  Model Configuration: The configuration of the model may not be set up correctly, leading to the system not recognizing the fields.
  
  
  Field Selection: The fields selected for the model may not meet the criteria for training, such as being categorical or numerical as required by the decision tree algorithm.
  
  
  Solutions:
  
  
  Check Data Model: Review the data model to ensure that it contains the necessary fields for training the decision tree. Ensure that the fields are correctly defined and have the appropriate data types.
  
  
  Data Quality Check: Perform a data quality check to identify and rectify any issues such as null values, incorrect formats, or data inconsistencies. Clean the data as necessary.
  
  
  Review Model Configuration: Ensure that the model configuration is correct. Check the settings for field selection and ensure that the fields you intend to use for training are included and correctly configured.
  
  
  Field Compatibility: Verify that the fields selected for the decision tree are compatible with the algorithm. For example, ensure that categorical fields are properly encoded and numerical fields are in the correct format.
  
  
  Recreate the Model: If the issue persists, consider recreating the model from scratch, ensuring that all configurations and field selections are correct.
  
  
  Related Information:
  
  
  SAP Documentation: Refer to the official SAP documentation for predictive analytics and decision tree modeling for detailed guidelines on field requirements and model configuration.
  
  
  SAP Community: Engage with the SAP Community forums where other users may have encountered similar issues and can provide insights or solutions.
  
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide patches or updates that could resolve the issue.
  
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to successfully train your decision tree model.