Output evaluation in the context of system performance or machine learning refers to the process of assessing the effectiveness, accuracy, and quality of the system's results against a set of criteria or benchmarks. It plays a crucial role in determining the reliability and validity of a model or program, influencing decisions on whether further improvements or changes are necessary.