AINeutralarXiv – CS AI · 14h ago6/10
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Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis
Researchers propose using genetic programming to evolve interpretable feature sets and tree structures for survival analysis models, demonstrating improved predictive performance while maintaining shallow, explainable decision trees. The approach addresses the fundamental trade-off between accuracy and interpretability in medical survival prediction by optimizing both feature construction and tree logic simultaneously.