National Academy of Sciences
Proceedings of the National Academy of Sciences, Volume 122, Issue 7, February 2025.
SignificanceMachine learning holds the potential to solve many real-world problems, but interpretability is a necessary prerequisite for practitioners in high-stakes domains such as medicine and law. Decision trees are mostly interpretable, but often do …
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Fast Interpretable Greedy-Tree Sums
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Proceedings of the National Academy of Sciences, Volume 122, Issue 7, February 2025. SignificanceMachine learning holds the potential to solve many real-world problems, but interpretability is a necessary prerequisite for practitioners in high-stakes domains such as medicine and law. Decision trees are mostly interpretable, but often do …
