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The Ethereal
Optimal Survival Trees
December 08, 2020 ยท Declared Dead ยท ๐ Machine-mediated learning
"No code URL or promise found in abstract"
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Authors
Dimitris Bertsimas, Jack Dunn, Emma Gibson, Agni Orfanoudaki
arXiv ID
2012.04284
Category
cs.LG: Machine Learning
Cross-listed
stat.ML
Citations
41
Venue
Machine-mediated learning
Last Checked
3 months ago
Abstract
Tree-based models are increasingly popular due to their ability to identify complex relationships that are beyond the scope of parametric models. Survival tree methods adapt these models to allow for the analysis of censored outcomes, which often appear in medical data. We present a new Optimal Survival Trees algorithm that leverages mixed-integer optimization (MIO) and local search techniques to generate globally optimized survival tree models. We demonstrate that the OST algorithm improves on the accuracy of existing survival tree methods, particularly in large datasets.
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