论文标题
基于因果关系的分类结果的解释
Causality-based Explanation of Classification Outcomes
论文作者
论文摘要
我们根据因果关系的概念提出了对分类器结果的解释的简单定义。我们将其与先前提出的解释概念进行了比较,并研究了它们的复杂性。我们使用来自金融领域的两个实际数据集进行了实验评估。
We propose a simple definition of an explanation for the outcome of a classifier based on concepts from causality. We compare it with previously proposed notions of explanation, and study their complexity. We conduct an experimental evaluation with two real datasets from the financial domain.