ARCHIVED CONTENT
You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.By Patrick Cronin, Esq.
Attorneys and judges often rely exclusively upon “precision” and “recall” thresholds for acceptance of dichotomous classification models in what is commonly referred to in the legal industry as “predictive coding.” Because these measures fail to provide a complete understanding of the proposed model’s characteristics and efficacy, this paper will argue that interested parties should go beyond the precision and recall metrics and include other, more effective performance measurements such as Receiver Operator Characteristic (ROC) and Area Under the Curve (AUC).