2020

PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Romano, Joseph D., Le, Trang T., La Cava, William et al.

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Motivation: Novel machine learning and statistical modeling studies rely on standardized comparisons to existing methods using well-studied benchmark datasets.

  • Few tools exist that provide rapid access to many of these datasets through a standardized, user-friendly interface that integrates well with popular data science workflows.
  • Results: This release of PMLB provides the largest collection of diverse, public benchmark datasets for evaluating new machine learning and data science methods aggregated in one location.
  • v1.0 introduces a number of critical improvements developed following discussions with the open-source community.

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