Binary decision making is a topic of great interest for many fields, including biomedical science, economics, management, politics, medicine, natural science and social science, and much effort has been spent for developing novel computational methods to address problems arising in the aforementioned fields. However, in order to evaluate the effectiveness of any prediction method for binary decision making, the choice of the most appropriate error measures is of paramount importance. Due to the variety of error measures available, the evaluation process of binary decision making can be a complex task. The main objective of this study is to provide a comprehensive survey of error measures for evaluating the outcome of binary decision making applicable to many data‐driven fields.

中文翻译：

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用于评估数据科学中二元决策的误差测量的全面调查。

二元决策是许多领域非常感兴趣的话题，包括生物医学、经济学、管理学、政治学、医学、自然科学和社会科学，并且人们花费了大量的精力来开发新颖的计算方法来解决上述领域中出现的问题。然而，为了评估任何二元决策预测方法的有效性，选择最合适的误差测量至关重要。由于可用的误差测量多种多样，二元决策的评估过程可能是一项复杂的任务。本研究的主要目的是提供对误差测量的全面调查，以评估适用于许多数据驱动领域的二元决策的结果。