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We highlight many general pitfalls of ML model interpretation, such as using interpretation techniques in the wrong context, interpreting models that do not generalize well, ignoring feature dependencies, interactions, uncertainty estimates and issues in high-dimensional settings, or making unjustified causal interpretations, and illustrate them with examples. We focus on pitfalls for global methods that describe the average model behavior, but many pitfalls also apply to local methods that explain individual predictions. Our paper addresses ML practitioners by raising awareness of pitfalls and identifying solutions for correct model interpretation, but also addresses ML researchers by discussing open issues for further research.<\/jats:p>","DOI":"10.1007\/978-3-031-04083-2_4","type":"book-chapter","created":{"date-parts":[[2022,4,16]],"date-time":"2022-04-16T17:03:23Z","timestamp":1650128603000},"page":"39-68","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":89,"title":["General Pitfalls of\u00a0Model-Agnostic Interpretation Methods for\u00a0Machine Learning Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2331-868X","authenticated-orcid":false,"given":"Christoph","family":"Molnar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6141-4942","authenticated-orcid":false,"given":"Gunnar","family":"K\u00f6nig","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0430-8523","authenticated-orcid":false,"given":"Julia","family":"Herbinger","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1338-3293","authenticated-orcid":false,"given":"Timo","family":"Freiesleben","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4324-4163","authenticated-orcid":false,"given":"Susanne","family":"Dandl","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6607-4895","authenticated-orcid":false,"given":"Christian A.","family":"Scholbeck","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5324-5966","authenticated-orcid":false,"given":"Giuseppe","family":"Casalicchio","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9787-2291","authenticated-orcid":false,"given":"Moritz","family":"Grosse-Wentrup","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6002-6980","authenticated-orcid":false,"given":"Bernd","family":"Bischl","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,17]]},"reference":[{"key":"4_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1007\/3-540-44503-X_27","volume-title":"Database Theory \u2014 ICDT 2001","author":"CC Aggarwal","year":"2001","unstructured":"Aggarwal, C.C., Hinneburg, A., Keim, D.A.: On the surprising behavior of distance metrics in high dimensional space. 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