{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/explanations-of-model-predictions-with-live","title":"Explanations of model predictions with live and breakDown packages","arxiv_id":"1804.01955","date":"2018-04-05","proceeding":null,"authors":["Mateusz Staniak","Przemyslaw Biecek"],"abstract":"Complex models are commonly used in predictive modeling. In this paper we\npresent R packages that can be used to explain predictions from complex black\nbox models and attribute parts of these predictions to input features. We\nintroduce two new approaches and corresponding packages for such attribution,\nnamely live and breakDown. We also compare their results with existing\nimplementations of state of the art solutions, namely lime that implements\nLocally Interpretable Model-agnostic Explanations and ShapleyR that implements\nShapley values.","url_abs":"http://arxiv.org/abs/1804.01955v2","url_pdf":"http://arxiv.org/pdf/1804.01955v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"explanations-of-model-predictions-with-live","repo_url":"https://github.com/cran/live","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"explanations-of-model-predictions-with-live","repo_url":"https://github.com/ml-libs/mldissect","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"explanations-of-model-predictions-with-live","repo_url":"https://github.com/pbiecek/breakDown","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"explanations-of-model-predictions-with-live","repo_url":"https://github.com/punittiwari01/Rpackage2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"attribute","task_name":"Attribute"}],"methods":[{"method_slug":"lime","method_name":"LIME"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1804.01955","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1804.01955"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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