OpenML: networked science in machine learning
This tool addresses the need for better data sharing and collaboration in the machine learning community, though it is incremental as it builds on existing networked science concepts.
The authors introduced OpenML, an online platform for machine learning researchers to share and organize detailed data, aiming to enhance collaboration and efficiency in tackling complex problems.
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.