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Decision tree enhancer (DTE): Improving decision trees with optimization
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DOI：10.1016/j.knosys.2026.115597.png)
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Abstract
En 中文
• Proposes DTE, a new method to improve pre-trained decision trees through post-training optimization. • DTE applies to datasets with continuous or continuous and discrete features. • The proposed formulation allows the decision maker to optimize the accuracy or recall of the decision tree. • DTE is feasible in practice, as it delivers improvements even when computation time is limited.
Keywords:
Decision tree
Mathematical programming
Interpretability
Post-training optimization
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