You run an experiment that uses an AutoMLConfig class to define an automated machine learning task with a maximum of ten model training iterations. The task will attempt to find the best performing model based on a metric named accuracy.

You submit the experiment with the following code:

experiment = Experiment(workspace=ws, name='automl-experiment')
config = AutoMLConfig(task='classification',
                      primary_metric='accuracy',
                      max_trials=10,
                      **other_arguments)
run = experiment.submit(config)

You need to create Python code that returns the best model that is generated by the automated machine learning task.

Which code segment should you use?