ROC Curves Lie. How to Calculate the 'True Threshold' for Anomaly Detection from Business Decisions

Is this an anomaly, or is it normal?If you get this judgment wrong even once, you are guaranteed to suffer either the loss of ...

Even with a Perfect ROC Curve, It Fails in Production: The 'Threshold Trap' in Anomaly Detection

Subtitle: A Must-Read for Data Science Teams. The Decisive Difference Between Statistical 'Perfection' and Operational ...
US Environmental Protection Agency

Using R to Compute the Area Under the ROC Curve

The area under the receiver operating characteristic (ROC) curve provides an indication of how accurately a model classifies sites into sites with the taxon present and sites with the taxon absent ...
GlobalSpec

Chapter 8: Analytic Models of the ROC Curve Applications to Credit Rating Model Validation

A collection of papers in this new and developing area of research, this book focuses on the quantitative side of model validation and covers model validation in credit, market, and operational risk.
National Academies of Sciences%2c Engineering%2c and Medicine

Saving Women's Lives: Strategies for Improving Breast Cancer Detection and Diagnosis

ROC analysis provides a systematic tool for quantifying the impact of variability among individuals’ decision thresholds. The term receiver operating characteristic (ROC) originates from the use of ...