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Video: Scenario: Duncan + Dotter Design (Triple D), a azure video

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Scenario: Duncan + Dotter Design (Triple D), a New York City-based architectural firm founded by John Raymond, is transitioning to Microsoft technologies, migrating from various legacy systems. John is currently leading an Azure Machine Learning project focused on training a model for anomaly detection. To improve prediction transparency, John must determine which features have the most influence on the model’s predictions for new data. Question: What approach should John take to identify and explain the key features impacting the model’s predictions within Azure Machine Learning?