3 papers
cs.LG2025
Partial VOROS: A Cost-aware Performance Metric for Binary Classifiers with Precision and Capacity Constraints
Christopher Ratigan, Kyle Heuton, Carissa Wang +2
The ROC curve is widely used to assess binary classifiers. Yet for some applications, such as alert systems for monitoring hospitalized patients, conventional ROC analysis cannot m…
cs.SI2024
Quantifying Media Influence on Covid-19 Mask-Wearing Beliefs
Nicholas Rabb, Nitya Nadgir, Jan P. de Ruiter +1
How political beliefs change in accordance with media exposure is a complicated matter. Some studies have been able to demonstrate that groups with different media diets in the agg…
cs.LG2024
The VOROS: Lifting ROC curves to 3D
Christopher Ratigan, Lenore Cowen
While the area under the ROC curve is perhaps the most common measure that is used to rank the relative performance of different binary classifiers, longstanding field folklore has…