Affiliation:
1. Carnegie Mellon University
Abstract
Supervised machine-learning models boast remarkable predictive capabilities. But can you trust your model? Will it work in deployment? What else can it tell you about the world?
Publisher
Association for Computing Machinery (ACM)
Reference30 articles.
1. Athey S. Imbens G. W. 2015 Machine-learning methods https://arxiv.org/abs/1504.01132v1 (see also ref. 7). Athey S. Imbens G. W. 2015 Machine-learning methods https://arxiv.org/abs/1504.01132v1 (see also ref. 7).
2. Intelligible Models for HealthCare
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