Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective

no code implementations • 9 Oct 2023 • Ricardo Knauer, Erik Rodner

A key challenge in machine learning is to design interpretable models that can reduce their inputs to the best subset for making transparent predictions, especially in the clinical domain.

feature selection Meta-Learning