Difference in predicted values in Evaluate-Tab and App (with same Feature-values!)
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- sql
- Domain
- databases, machine-learning
Research direction
Start by reproducing the prediction in the Evaluate-Tab’s “Try your Model” flow and in the generated Consume-Tab application, using the same feature values and model. Compare the model inputs and prediction paths, including the SQL Express data source, and establish whether both paths produce the same result or document the cause of the discrepancy.
Written by the indexing model from the issue text.
Description
Hi
System Information (please complete the following information):
- Model Builder or CLI Version: latest installed 12.07.2025
- Visual Studio Version (if applicable): 17.14.8 Win
Describe the bug
Evaluate Tab with "Try your Model". The Feature-values were insertes automatically after the succesful Model-train.
LightGbmRegression RSquared: 0,8022. I receive a predicted Result of: 3,39, but when I use the Model in my App with the provided Code Snippet in "Consume"-Tab I receive a predicted value of 1,70595. The Feature-values i inserted are the same.
Why do I have such a difference?
I use SQL Express based database with apprx 500k records?
Thank you and best regards
Christian
- Dominant language
- Dockerfile
- Stars
- 285
- Forks
- 66
- PR merge metrics
- No merged PRs in 30d
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