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Run a Quick Experiment with AutoML
You are a data scientist at Globomantics, tasked with running a quick AutoML experiment to identify the best-performing regression model for predicting solar panel energy output efficiency. Using a previously registered telemetry dataset in Azure Machine Learning Studio, you will configure and launch a short AutoML run, compare candidate models, and register the top performer.
Lab Info
Table of Contents
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Challenge
Configure and launch an AutoML regression job
- Configure an AutoML job for the solar panel dataset.
- Limit the training time to 15 minutes.
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Challenge
Compare candidate models and evaluate performance
- Review the completed AutoML run to view the list of generated models.
- Compare the top three models by examining model metrics.
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Challenge
Register the best performing model
Select and register the best-performing model, then verify it appears in the model registry.
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