Corpus ID: 26296192

OpenML Benchmarking Suites and the OpenML100

@article{Bischl2017OpenMLBS,
  title={OpenML Benchmarking Suites and the OpenML100},
  author={B. Bischl and Giuseppe Casalicchio and M. Feurer and F. Hutter and Michel Lang and R. Mantovani and J. Rijn and J. Vanschoren},
  journal={ArXiv},
  year={2017},
  volume={abs/1708.03731}
}

B. Bischl, Giuseppe Casalicchio, +5 authors J. Vanschoren

Published 2017

Mathematics, Computer Science

ArXiv

We advocate the use of curated, comprehensive benchmark suites of machine learning datasets, backed by standardized OpenML-based interfaces and complementary software toolkits written in Python, Java and R. Major distinguishing features of OpenML benchmark suites are (a) ease of use through standardized data formats, APIs, and existing client libraries; (b) machine-readable meta-information regarding the contents of the suite; and (c) online sharing of results, enabling large scale comparisons… CONTINUE READING

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