Black Box evaluation

Black box evaluation is a method used to assess a system or model by testing its input-output behavior without examining its internal workings. Imagine only observing what goes in and what comes out, then determining how well it performs based on those results. This approach focuses on overall performance, accuracy, and reliability, rather than analyzing the internal processes or algorithms. It’s common in evaluating software, algorithms, or AI systems, ensuring they meet desired outcomes without needing to understand every detail of their inner mechanisms.