@Nuron I believe this can be achieved by getting the best and fitted model from your automl run's get_output and then printing the details of the algorithms used by this model.
automl_config = AutoMLConfig(…)
automl_run = experiment.submit(automl_config …)
best_run, fitted_model = automl_run.get_output()
Use fitted_model.steps
to print the selected algorithm with its hyperparameter values
This is documented here from the Azure ML documentation.
I hope this helps!!
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