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AI-900: How to use metric score threshold to end Azure AI experiments

Learn how to configure the metric score threshold setting in Azure AI experiments to stop the training process when the model achieves a certain score or less on a primary metric.

Question

What setting should you configure if you want to end the experiment if the model achieves a certain score or less on normalized root mean squared error metric?

A. Blocked algorithms
B. Training compute target
C. Metric score threshold

Answer

C. Metric score threshold

Explanation

This metric causes the experiment to end if a model achieves a certain score (or less) on normalized root mean squared error.

The correct answer is C. Metric score threshold. This setting allows you to specify the minimum or maximum value of a primary metric that triggers the early termination of a run. For example, if you set the metric score threshold to 0.5 and the primary metric is normalized root mean squared error (NRMSE), the experiment will end if the NRMSE score is less than or equal to 0.5. This can help you save time and resources by stopping the training process when the model reaches a desired level of performance.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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