This is a dedicated watch page for a single video.
Scenario: Smallville Mortgage, a multi-office mortgage firm operating across Kansas, USA, is led by Martha and Jonathan Kent. Lois Lane, now heading a new project, is working with her team to optimize hyperparameters for a machine learning model. To enhance efficiency, the team aims to terminate hyperparameter tuning early whenever the target metric is at least 35% worse than the best-performing one in the ratio. Question: Which early termination configuration policy should Lois recommend to the team to effectively halt tuning when performance significantly declines?