Algorithmic evaluation is the process of assessing the effectiveness, efficiency, and fairness of algorithms, often used in machine learning and data science, to ensure they meet predefined objectives and ethical standards. This involves analyzing performance metrics, bias, interpretability, and the impact of algorithms on decision-making processes.