{"_id":"A3sdfBQHbY4SBj7nw","bibbaseid":"fisher-rudin-dominici-allmodelsarewrongbutmanyareusefullearningavariablesimportancebystudyinganentireclassofpredictionmodelssimultaneously-2018","author_short":["Fisher, A.","Rudin, C.","Dominici, F."],"bibdata":{"bibtype":"misc","type":"misc","added-at":"2022-08-29T15:09:01.000+0200","archiveprefix":"arXiv","author":[{"propositions":[],"lastnames":["Fisher"],"firstnames":["Aaron"],"suffixes":[]},{"propositions":[],"lastnames":["Rudin"],"firstnames":["Cynthia"],"suffixes":[]},{"propositions":[],"lastnames":["Dominici"],"firstnames":["Francesca"],"suffixes":[]}],"biburl":"https://www.bibsonomy.org/bibtex/2a90c24c1ebdf7d493ebde029c53b7d3e/msteininger","eprint":"1801.01489","interhash":"080991dc82d6ccb408f596fb7b2d0a4b","intrahash":"a90c24c1ebdf7d493ebde029c53b7d3e","keywords":"imported","primaryclass":"stat.ME","timestamp":"2022-08-29T15:09:01.000+0200","title":"All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously","year":"2018","author_short":["Fisher, A.","Rudin, C.","Dominici, F."],"key":"fisher2018models","id":"fisher2018models","bibbaseid":"fisher-rudin-dominici-allmodelsarewrongbutmanyareusefullearningavariablesimportancebystudyinganentireclassofpredictionmodelssimultaneously-2018","role":"author","urls":{},"keyword":["imported"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"misc","biburl":"http://www.bibsonomy.org/bib/author/RUDIN?items=1000","dataSources":["LWrPNL4QgNsXPRuNg"],"keywords":["imported"],"search_terms":["models","wrong","many","useful","learning","variable","importance","studying","entire","class","prediction","models","simultaneously","fisher","rudin","dominici"],"title":"All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously","year":2018}