Symptom
In the Case Topic Analyzer scenario, some scenarios reach 100% but show the status "Training Error."
Environment
- SAP Service Cloud Version 2
- Machine Learning for SAP Sales/Service Cloud
Reproducing the Issue
- Navigate to system settings > Narrow AI > Case Topic Analyzer.
- Create a new model and click on train.
- After some time click on get status.
- See that model training has failed.
Cause
The cases used for training the model do not have sufficient content in the Description field. Only a very small number of cases have descriptions longer than 10 characters, while successful training requires a minimum of 200 such cases per case type.
Resolution
- Ensure that each relevant case type has at least 200 cases with a meaningful Description (length greater than 10 characters).
- Add or update case records to include clear, informative descriptions so they can be used as training data.
- Launch a new training run for the Case Topic Analyzer scenario after sufficient data quality and volume are in place.
- Monitor training progress and confirm the status completes without error.
Keywords
case topic analyzer, training error, training fails at 100%, stuck at 15%, publishModelStatusActionUpdate, empty response or req query params, insufficient description, description length >10, minimum 200 cases, case type, model training, machine learning, service cloud v2, scenario training, ml logs , KBA , CEC-CRM-ML , Machine Learning for SAP Sales/Service Cloud , Problem
SAP Knowledge Base Article - Public