tag:joss.theoj.org,2005:/papers/by/Florian%20PfistererJournal of Open Source Software2021-08-06T20:55:18ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/27442021-08-06T20:55:18Z2021-08-07T00:02:22Zmcboost: Multi-Calibration Boosting for Racceptedv0.3.02021-06-09 15:38:14 UTC642021-08-06 20:55:18 UTC620213453FlorianPfistererLudwig Maximilian University of Munich0000-0001-8867-762XChristophKernUniversity of Mannheim0000-0001-7363-4299SusanneDandlLudwig Maximilian University of Munich0000-0003-4324-4163MatthewSunPrinceton UniversityMichaelP.KimUC BerkeleyBerndBischlLudwig Maximilian University of Munich0000-0001-6002-698010.21105/joss.03453https://doi.org/10.5281/zenodo.5156518Rhttps://joss.theoj.org/papers/10.21105/joss.03453.pdfMulti-Calibration, Multi-Accuracy, Boosting, Post-Processing, Fair MLtag:joss.theoj.org,2005:Paper/13322019-12-11T18:12:29Z2021-02-15T11:31:22Zmlr3: A modern object-oriented machine learning framework in Racceptedv0.1.42019-11-15 12:36:52 UTC442019-12-11 18:12:29 UTC420191903MichelLangTU Dortmund University, LMU Munich0000-0001-9754-0393MartinBinderLMU MunichJakobRichterTU Dortmund University0000-0003-4481-5554PatrickSchratzLMU Munich0000-0003-0748-6624FlorianPfistererLMU Munich0000-0001-8867-762XStefanCoorsLMU Munich0000-0002-7465-2146QuayAuLMU Munich0000-0002-5252-8902GiuseppeCasalicchioLMU Munich0000-0001-5324-5966LarsKotthoffUniversity of Wyoming0000-0003-4635-6873BerndBischlLMU Munich0000-0001-6002-698010.21105/joss.01903https://doi.org/10.5281/zenodo.3569963R, Rebolhttps://joss.theoj.org/papers/10.21105/joss.01903.pdfmachine learning, classification, regression