Why it’s critical to move beyond overly aggregated machine-learning metrics

New research reveals issues with overly aggregated machine-learning metrics that can hide mistaken correlations in AI models. The study provides methods to improve accuracy by detecting these hidden problems in ML evaluation approaches.