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To date, quantification methods have mostly been tested only on a special case of dataset shift, i.e., <jats:italic>prior probability shift<\/jats:italic>; the relationship between quantification and other types of dataset shift remains, by and large, unexplored. In this work we carry out an experimental analysis of how current quantification algorithms behave under different types of dataset shift, in order to identify limitations of current approaches and hopefully pave the way for the development of more broadly applicable methods. We do this by proposing a fine-grained taxonomy of types of dataset shift, by establishing protocols for the generation of datasets affected by these types of shift, and by testing existing quantification methods on the datasets thus generated. One finding that results from this investigation is that many existing quantification methods that had been found robust to prior probability shift are not necessarily robust to other types of dataset shift. A second finding is that no existing quantification method seems to be robust enough to dealing with all the types of dataset shift we simulate in our experiments. The code needed to reproduce all our experiments is publicly available at <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/pglez82\/quant_datasetshift\">https:\/\/github.com\/pglez82\/quant_datasetshift<\/jats:ext-link>.<\/jats:p>","DOI":"10.1007\/s10618-024-01014-1","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T06:02:00Z","timestamp":1710741720000},"page":"1670-1712","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Binary quantification and dataset shift: an experimental investigation"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9250-0920","authenticated-orcid":false,"given":"Pablo","family":"Gonz\u00e1lez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alejandro","family":"Moreo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabrizio","family":"Sebastiani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,18]]},"reference":[{"issue":"16","key":"1014_CR1","doi-asserted-by":"publisher","first-page":"2614","DOI":"10.1016\/j.neucom.2011.03.019","volume":"74","author":"R Ala\u00edz-Rodr\u00edguez","year":"2011","unstructured":"Ala\u00edz-Rodr\u00edguez R, Guerrero-Curieses A, Cid-Sueiro J (2011) Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift. 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