Automatic Exploration of Machine Learning Experiments on OpenML

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kknn: Weighted k-Nearest Neighbors , 2016

K. Schliep and K. Hechenbichler · 2016

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OpenML benchmarking suites and the OpenML100

Original

B. Bischl, G. Casalicchio, M. Feurer, F. Hutter, M. Lang, R. G. Mantovani, J. N. van Rijn, and J. Vanschoren · 2017

Cited alongside, same era.

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G. Casalicchio, J. Bossek, M. Lang, D. Kirchhoff, P. Kerschke, B. Hofner, H. Seibold, J. Vanschoren, and B. Bischl · 2017

Cited alongside, same era.

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Hyperparameter importance across datasets

Original

J. N. van Rijn and F. Hutter · 2017

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M. N. Wright and A. Ziegler · 2017

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OpenML R bot benchmark data (final subset)

D. Kühn, P. Probst, J. Thomas, and B. Bischl · 2018

Closest in time.

Tunability: Importance of hyperparameters of machine learning algorithms

Original

P. Probst, B. Bischl, and A.-L. Boulesteix · 2018

Closest in time.