You need to ensure that your Unity Catalog catalog and schema already exist, that you have the necessary permissions to use them, and that you update the code to reference your own catalog and schema names. You must also run on a classic cluster with a Databricks Runtime that is compatible with MLflow 3.0 (DBR 17.x or higher). Finally, specify the desired registered model name so it clearly reflects how you want the model to appear in your catalog.

I performed tests in DBR 18.0 ML personal compute cluster