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"All Models are Wrong, but Many are Useful: Learning a Variable's ..."

Aaron Fisher, Cynthia Rudin, Francesca Dominici (2019)

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DOI: —

access: open

type: Journal Article

metadata version: 2020-06-18

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  dblp key:
  - journals/jmlr/FisherRD19
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  - https://dblp.org/rec/journals/jmlr/FisherRD19
Aaron Fisher, Cynthia Rudin, Francesca Dominici:
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously. J. Mach. Learn. Res. 20: 177:1-177:81 (2019)

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