You are training machine learning models in Azure Machine Learning and using Hyperdrive for hyperparameter tuning. In previous runs, many models have shown similar performance.

You need to select an early termination policy that meets the following requirements:

• It accounts for the performance of all previous runs when evaluating the current run.
• It avoids comparing the current run with only the best performing run to date.

Which two early termination policies should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.