Total number of models explored is incorrect in the output window.

**System Information (please complete the following information):**
Windows OS: Windows-11-Enterprise-21H2
ML.Net Model Builder 2019&2022: 16.13.9.2240801(Main Build)
Microsoft Visual Studio Enterprise: 2019(16.11.17); 2022(17.2.6)
.Net: 5.0 & 6.0

**Describe the bug**
- On which step of the process did you run into an issue:
Total number of models explored is incorrect in the output window when the training is completed.

**To Reproduce**
Steps to reproduce the behavior:

1. Pre-requisite: Do [Pre-requisites/SQLPassword](https://github.com/dotnet/machinelearning-tools/blob/main/docs/tests/Instructions/Pre-Requisites/SQLPassword.md) before repro this issue.
2. Select Create a new project from the Visual Studio start window.
3. Choose the C# Console App (.NET Core) project template.
4. Add model builder by right click on the project.
5. Select **Data classification or Value predication** scenario.
6. On Data page, select the data source and label column.
7. Click Start training button to finish Training, **then you will see that Total number of models explored is incorrect in the output window**.

**Expected behavior**
Total number of models explored should be correct in the output window.

**Screenshots**