dotnet / dotnet/machinelearning-modelbuilder
The best model for the training results is inconsistent with the top model explored by the output box.
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Description
**System Information (please complete the following information):**
- Model Builder Version (available in Manage Extensions dialog): 16.13.2.2211002 (latest main)
- Microsoft Visual Studio Enterprise 2022 (64-bit) Version 17.0.6
**Describe the bug**
- On which step of the process did you run into an issue: Training results on Train page.
**DataSource**
https://github.com/dotnet/machinelearning-samples/raw/main/samples/modelbuilder/MulticlassClassification_RestaurantViolations/RestaurantScores.zip
**To Reproduce**
Steps to reproduce the behavior:
1. Select Create a new project from the Visual Studio 2022 start window;
2. Choose the C# Console App (.NET Core) project template with .Net 6.0;
3. Add model builder by right click on the project;
4. Select Data classification>Local (CPU), input the SQL Server data source to complete training;
5. After training complete, see the best model for the training results does not match with the top model explored in Output box.
**Expected behavior**
The best model for the training results should be consistent with the top model explored by the output box.
**Screenshots**
If applicable, add screenshots to help explain your problem.

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