A data scientist launches a Databricks AutoML regression experiment through the UI to predict house prices. They want AutoML to rank and select the best trial based on how well predictions match actual values on a scale that penalizes larger errors more heavily, expressed in the same units as the target. Which primary evaluation metric should they configure for the experiment?