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After segmenting a dataset into training and testing sets in Azure Machine Learning designer, you're configuring an experiment with the Two-Class Boosted Decision Tree algorithm. Your objective is to determine the Area Under the Curve (AUC). What sequence of model components is required to fulfill this objective?