Training an AutoML classification model

Training an AutoML classification model is very similar to training an AutoML regression model, but there are a few key differences. In Chapter 4, Building an AutoML Regression Solution, you began by setting a name for your experiment. After that, you set your target column and subsequently set your AutoML configurations. Finally, you used AutoML to train a model, performed a data guardrails check, and produced results.

All of the steps in this section are nearly the same. However, pay close attention to the data guardrails check and results, as they are substantially different when training classification models:

1. Set your experiment and give it a name:

   experiment_name = 'Titanic-Transformed-Classification'
   exp = Experiment(workspace=ws, name=experiment_name) 

2. Set your dataset to your transformed Titanic data:

   dataset_name = "Titanic Transformed"
   dataset = Dataset.get_by_name(ws, dataset_name, version=&apos...