3 papers
cs.LG2026
A comparative analysis of machine learning models in SHAP analysis
Justin Lin, Julia Fukuyama
In this growing age of data and technology, large black-box models are becoming the norm due to their ability to handle vast amounts of data and learn incredibly complex data patte…
cs.LG2025
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
Gerardo A. Flores, Alyssa H. Smith, Julia A. Fukuyama +1
Machine learning-based decision support systems are increasingly deployed in clinical settings, where probabilistic scoring functions are used to inform and prioritize patient mana…
cs.LG2025
A Consequentialist Critique of Binary Classification Evaluation: Theory, Practice, and Tools
Gerardo Flores, Abigail Schiff, Alyssa H. Smith +2
Machine learning-supported decisions, such as ordering diagnostic tests or determining preventive custody, often require converting probabilistic forecasts into binary classificati…