{"department":[{"_id":"819"}],"citation":{"apa":"Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2019). OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics, 34(3), 977–991. https://doi.org/10.1007/s00180-017-0742-2","mla":"Casalicchio, Giuseppe, et al. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.” Computational Statistics, vol. 34, no. 3, 2019, pp. 977–991, doi:10.1007/s00180-017-0742-2.","chicago":"Casalicchio, Giuseppe, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, and Bernd Bischl. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.” Computational Statistics 34, no. 3 (2019): 977–991. https://doi.org/10.1007/s00180-017-0742-2.","ama":"Casalicchio G, Bossek J, Lang M, et al. OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics. 2019;34(3):977–991. doi:10.1007/s00180-017-0742-2","bibtex":"@article{Casalicchio_Bossek_Lang_Kirchhoff_Kerschke_Hofner_Seibold_Vanschoren_Bischl_2019, title={OpenML: An R Package to Connect to the Machine Learning Platform OpenML}, volume={34}, DOI={10.1007/s00180-017-0742-2}, number={3}, journal={Computational Statistics}, author={Casalicchio, Giuseppe and Bossek, Jakob and Lang, Michel and Kirchhoff, Dominik and Kerschke, Pascal and Hofner, Benjamin and Seibold, Heidi and Vanschoren, Joaquin and Bischl, Bernd}, year={2019}, pages={977–991} }","ieee":"G. Casalicchio et al., “OpenML: An R Package to Connect to the Machine Learning Platform OpenML,” Computational Statistics, vol. 34, no. 3, pp. 977–991, 2019, doi: 10.1007/s00180-017-0742-2.","short":"G. Casalicchio, J. Bossek, M. Lang, D. Kirchhoff, P. Kerschke, B. Hofner, H. Seibold, J. Vanschoren, B. Bischl, Computational Statistics 34 (2019) 977–991."},"volume":34,"keyword":["Databases","Machine learning","R","Reproducible research"],"type":"journal_article","year":"2019","author":[{"first_name":"Giuseppe","full_name":"Casalicchio, Giuseppe","last_name":"Casalicchio"},{"id":"102979","first_name":"Jakob","full_name":"Bossek, Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668"},{"first_name":"Michel","full_name":"Lang, Michel","last_name":"Lang"},{"last_name":"Kirchhoff","full_name":"Kirchhoff, Dominik","first_name":"Dominik"},{"first_name":"Pascal","last_name":"Kerschke","full_name":"Kerschke, Pascal"},{"full_name":"Hofner, Benjamin","last_name":"Hofner","first_name":"Benjamin"},{"last_name":"Seibold","full_name":"Seibold, Heidi","first_name":"Heidi"},{"first_name":"Joaquin","full_name":"Vanschoren, Joaquin","last_name":"Vanschoren"},{"first_name":"Bernd","last_name":"Bischl","full_name":"Bischl, Bernd"}],"publication_identifier":{"issn":["0943-4062"]},"user_id":"102979","_id":"48877","status":"public","doi":"10.1007/s00180-017-0742-2","date_created":"2023-11-14T15:58:57Z","publication":"Computational Statistics","abstract":[{"text":"OpenML is an online machine learning platform where researchers can easily share data, machine learning tasks and experiments as well as organize them online to work and collaborate more efficiently. In this paper, we present an R package to interface with the OpenML platform and illustrate its usage in combination with the machine learning R package mlr (Bischl et al. J Mach Learn Res 17(170):1—5, 2016). We show how the OpenML package allows R users to easily search, download and upload data sets and machine learning tasks. Furthermore, we also show how to upload results of experiments, share them with others and download results from other users. Beyond ensuring reproducibility of results, the OpenML platform automates much of the drudge work, speeds up research, facilitates collaboration and increases the users’ visibility online.","lang":"eng"}],"title":"OpenML: An R Package to Connect to the Machine Learning Platform OpenML","date_updated":"2023-12-13T10:51:17Z","page":"977–991","intvolume":" 34","language":[{"iso":"eng"}],"issue":"3"}