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All Models are Wrong, but Many are Useful: Learning a Var... | ResearchHub
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All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
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Authors
Aaron Fisher
3 more
Aaron Fisher
•
Cynthia Rudin
1 more
•
Francesca Dominici
Published
January 1, 2018
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Journal
arXiv (Cornell University)
Topics
Computer Science
Machine Learning
Mathematics
Artificial Intelligence
Econometrics
Show all topics
DOI
10.48550/arxiv.1801.01489
License
other-oa
Supporters
Support the authors with ResearchCoin
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Journal
arXiv (Cornell University)
Topics
Computer Science
Machine Learning
Mathematics
Artificial Intelligence
Econometrics
Show all topics
DOI
10.48550/arxiv.1801.01489
License
other-oa