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…

Question

Options

• Abest_model = automl_run.get_details()
• Bbest_model = automl_run.get_metrics()
• Cbest_model = automl_run.get_file_names()[1]
• Dbest_model = automl_run.get_output()[1]

• A
  2% (1)
• B
  4% (2)
• C
  7% (4)
• D
  87% (47)

Explanation

The get_output() method on an AutoML run returns a tuple of (best_run, fitted_model). Using index [1] retrieves the actual fitted model object ready for use or registration. The other options return different things: get_details() (A) returns a dictionary of run metadata and configuration; get_metrics() (B) returns a dictionary of performance metrics like accuracy and AUC; get_file_names() (C) returns a list of output file paths stored by the run, not the model object itself. Only get_output()[1] directly returns the best fitted model.

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