A researcher changes the learning rate across several training runs and wants to compare that setting with validation performance. Which MLflow data should be logged?

1. Validation performance as the experiment's access permission
2. Learning rate only as a local notebook comment
3. The learning rate as the model's serving URL
4. Learning rate as a parameter and validation performance as a metric