How To Use Decision Models for Evals

The blog discusses the use of decision models for automated evaluations, detailing techniques for optimizing evaluation thresholds to improve performance and cost-effectiveness. It compares multiple decision models, analyzes their performance with various metrics, and provides insights on how to adjust model thresholds to better align with business goals. Finally, it emphasizes the importance of calibration in probability scores to ensure reliable classification outcomes.