Automatic model tuning jobs are taking a long time and continue running even when they are no longer improving the objective metric. You want tuning to stop unpromising training jobs automatically to speed optimization. Which SageMaker automatic model tuning setting should you enable?

Setting TrainingJobEarlyStoppingType to AUTO enables SageMaker automatic model tuning to intelligently stop training jobs that are not showing sufficient improvement in the objective metric. This conserves resources and significantly speeds up the overall tuning process by preventing unpromising trials from running to completion. The AUTO setting uses internal heuristics to determine when a job is unlikely to yield better results. Setting the tuning Strategy to Bayesian is a good practice for efficient search but doesn't directly address early stopping of individual jobs. RetryStrategy controls job retries, not early stopping. Narrowing ParameterRanges can improve efficiency but doesn't stop ongoing, underperforming jobs.