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Jan, 2022
层次代理规则集在机器学习模型行为可视化探索中的应用
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets
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Jun Yuan, Brian Barr, Kyle Overton, Enrico Bertini
TL;DR
本研究提出了一种包括层级代理规则和可交互的代理规则可视化的工作流程,用于解释模型。使用可视化方法来解决规则可视化的问题,并评估了算法的参数灵敏度和时间性能,以及可用性研究。
Abstract
One of the potential solutions for
model interpretation
is to train a
surrogate model
: a more transparent model that approximates the behavior of the model to be explained. Typically, classification rules or
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