The model name displays on the Evaluate page is different from the Train page.

[vzhuqin]

System Information (please complete the following information):

• ML.Net Model Builder: 16.7.2.2142301 (Main Branch)
• Windows OS: Windows-10-Enterprise-21H1
• Microsoft Visual Studio Enterprise 2019: 16.11.1
• .Net: 5.0.303

Describe the bug

• On which step of the process did you run into an issue: Image classification: Train page, Evaluate page
• Clear description of the problem: The Best model under Training results is: DNN + ResNet50, but the model in Evaluate page displays another name ImageClassification, which is different. And the Trainer in Output box and mbconfig file is also ImageClassification.

To Reproduce Steps to reproduce the behavior:

1. Select Create a new project from the Visual Studio 2019 start window;
2. Choose the C# Console App (.NET Core) project template with .Net 5.0;
3. Add model builder by right click on the project;
4. Select Image classification+ Local(CPU) to complete training;
5. The Best model under Training results is: DNN + ResNet50;
6. Navigate to Evaluate page, see the model is also ImageClassification, which is different.

Expected behavior The training model and trainer should display the same name.

Screenshots Image classification + Local(CPU):

Image classification + Azure:

Additional context Add any other context about the problem here.

[vzhuqin]

Not repro this issue on latest main: 16.12.2.2207101 Image local: Image Azure: Object: