BriefGPT.xyz
Jul, 2019
基于案例推理的辅助领域专家处理黑盒机器学习模型欺诈警报
Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models
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Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy
TL;DR
本研究提出了一种基于事例推理的方法来评估机器学习模型预测的可信度，并通过可视化的方式呈现之前相似的情况，进一步证明了该方法对于处理欺诈检测中的机器学习警报具有实用性和易用性。
Abstract
In many contexts, it can be useful for domain experts to understand to what extent predictions made by a
machine learning
model can be trusted. In particular, estimates of
trustworthiness
can be useful for fraud
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