Data classification: The error message is not very clear after changing the "SentimentText" column's Data type from "String" to "Boolean".

**System Information (please complete the following information):**
Windows OS: Windows-11-Enterprise-24H2
ML.Net Model Builder 2022: 17.19.0.2456401 (Main Build)
Microsoft Visual Studio Enterprise: 2022(17.11.5)
.Net: 6.0, 8.0

**Describe the bug**
- On which step of the process did you run into an issue:
The error message is not very clear after changing the "SentimentText" column's Data type to "Boolean".

**TestMatrix**
https://testpass.blob.core.windows.net/test-pass-data/wikipedia-detox-250-line-data.tsv

**To Reproduce**
Steps to reproduce the behavior:
1. Select Create a new project from the Visual Studio start window.
2. Choose the C# Console App (.NET Core) project template.
3. Add model builder by right click on the project.
4. Select "Data classification" scenario.
5. On the Data page, choose the data source, column.
6. Changing the "SentimentText" column's Data type from "String" to "Boolean".
7. On the Train page. click "Start training".
8. Check the error message.

**Expected behavior**
The error message should be like "**Schema mismatch for Context column 'SentimentText': expected String, got Boolean**".

**Screenshot**

**Additional context**
Changing the "SentimentText" column's Data type to "Boolean", actually all data could not be parsed. Because the "context" column's Data type should be "String".
But in the error message it only mentioned the data in line 66.

Reproduzca el problema desde la ventana de inicio de Visual Studio mediante el escenario Data classification: cambie la columna "SentimentText" de String a Boolean en la Data page y, después, seleccione Start training en la Train page. Compare el error resultante con el texto esperado para una discrepancia de esquema y compruebe que el mensaje identifica los tipos esperado y real, en lugar de solo una línea de datos.

Escrito por el modelo de indexación a partir del texto del issue.