OpenML : networked science in machine learning

J. Vanschoren, J.N. van Rijn, B. Bischl, L. Torgo

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Many sciences have made significant breakthroughs by adopting online tools that help organize, structure and mine information that is too detailed to be printed in journals. In this paper, we introduce OpenML, a place for machine learning researchers to share and organize data in fine detail, so that they can work more effectively, be more visible, and collaborate with others to tackle harder problems. We discuss how OpenML relates to other examples of networked science and what benefits it brings for machine learning research, individual scientists, as well as students and practitioners.
Original languageEnglish
Pages (from-to)49-60
Number of pages12
JournalSIGKDD Explorations
Issue number2
Publication statusPublished - 2013
Externally publishedYes


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