Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML

Riccardo Poli, Ahmet Yilmaz

Traditional evaluation of machine learning (ML) models typically focuses on achieving the maximum possible accuracy irrespective of the computational cost. In this article, we prop…