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Mar, 2023
随机森林多目标回归的局部可解释性
Local Interpretability of Random Forests for Multi-Target Regression
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Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
TL;DR
本文提出了针对随机森林模型的多目标回归问题的一种技术，通过基于规则的解释提供了一种解释能力，并与最先进的技术相比具有竞争力的解释能力。
Abstract
multi-target regression
is useful in a plethora of applications. Although
random forest models
perform well in these tasks, they are often difficult to interpret.
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