algorithmic-fairness

ncbi.nlm.nih.gov

Study Evaluates Machine Learning Models for Health Insurance Risk Classification

Researchers tested three ensemble algorithms on a dataset of 59,381 insurance applicants to measure accuracy, fairness, and interpretability in underwriting decisions. The analysis compared performance across binary, three-class, and eight-class risk settings and examined dispari…

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