重访罗生门：评“两种文化”
Revisiting Rashomon: A Comment on "The Two Cultures"
摘要：
在这里，我提供了一些思考教授利奥Breiman的“两种文化”的文件。我特别关注Breiman称之为“罗生门效应”的现象，描述了许多模型同样满足预测准确性标准，但以不同的方式处理数据中的信息的情况。这种现象可能会导致难以根据适合数据的模型得出结论或自动决策。我与机器学习文献中探索这个问题的影响的最新工作建立了联系，并指出解决这个问题可能是算法和数据建模文化之间合作的一个富有成效的领域。
英文摘要：
Here, I provide some reflections on Prof. Leo Breiman's "The Two Cultures" paper. I focus specifically on the phenomenon that Breiman dubbed the "Rashomon Effect", describing the situation in which there are many models that satisfy predictive accuracy criteria equally well, but process information in the data in substantially different ways. This phenomenon can make it difficult to draw conclusions or automate decisions based on a model fit to data. I make connections to recent work in the Machine Learning literature that explore the implications of this issue, and note that grappling with it can be a fruitful area of collaboration between the algorithmic and data modeling cultures.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
