April 11, 2024, 4:42 a.m. | Ryan S. Baker, Nigel Bosch, Stephen Hutt, Andres F. Zambrano, Alex J. Bowers

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.06989v1 Announce Type: new
Abstract: Recently, ACM FAccT published an article by Kwegyir-Aggrey and colleagues (2023), critiquing the use of AUC ROC in predictive analytics in several domains. In this article, we offer a critique of that article. Specifically, we highlight technical inaccuracies in that paper's comparison of metrics, mis-specification of the interpretation and goals of AUC ROC, the article's use of the accuracy metric as a gold standard for comparison to AUC ROC, and the article's application of critiques …

abstract acm analytics article arxiv auc colleagues comparison critique cs.lg domains highlight paper predictive predictive analytics roc technical type

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US