MOSS formulates stable rule-set construction as a bi-objective integer program and uses a cutting-plane method to trace the accuracy-stability Pareto frontier, outperforming SIRUS, RuleFit, FIRE, and GLRM on average.
API design for machine learning software: experiences from the scikit-learn project
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MOSS: Multi-Objective Optimization for Stable Rule Sets
MOSS formulates stable rule-set construction as a bi-objective integer program and uses a cutting-plane method to trace the accuracy-stability Pareto frontier, outperforming SIRUS, RuleFit, FIRE, and GLRM on average.