TL;DR
OpenML is an online platform designed to facilitate sharing, organizing, and collaborating on machine learning data and experiments, aiming to enhance research efficiency and community engagement.
Contribution
The paper introduces OpenML, a novel online platform that enables detailed data sharing and collaboration in machine learning research.
Findings
OpenML improves collaboration among researchers.
It enhances visibility and organization of machine learning experiments.
The platform supports tackling more complex problems.
Abstract
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.
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