Competitive Model Selection in Algorithmic Targeting
收藏NBER2023-03-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w31002
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资源简介：
This paper studies how market competition influences the algorithmic design choices of firms in the context of targeting. Firms face the general trade-off between bias and variance when choosing the design of a supervised learning algorithm in terms of model complexity or the number of predictors to
提供机构：
美国国家经济研究局
创建时间：
2023-03-01
