Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.


Penn Machine Learning Benchmarks

Penn Machine Learning Benchmarks (PMLB) is a large collection of curated benchmark datasets for evaluating and comparing supervised machine learning algorithms. These datasets cover a broad range of applications including binary/multi-class classification and regression problems as well as combinations of categorical, ordinal, and continuous features

Scientific Area:
Machine Learning

C, C++, MatLab, Octave, Other, Python, R

Target Group:
Advanced, Basic

Cite as:
Olson, Randal S., William La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, and Jason H. Moore. PMLB: a large benchmark suite for machine learning evaluation and comparison. BioData mining 10, no. 1 (2017): 1-13. BioData Mining 10, page 36.

Author of the review:
Beatriz Flamia
Instituto Politécnico de Bragança


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