You're currently viewing an old version of this dataset. To see the current version, click here.

SAC Benchmark

A benchmark dataset for algorithm selection, consisting of a set of algorithms and instances, with a focus on scalability and sparsity of training data.

Data and Resources

This dataset has no data

Cite this as

J. H. Hoos, F. Hutter, K. Leyton-Brown (2025). Dataset: SAC Benchmark. https://doi.org/10.57702/b8s4p5f5

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	January 2, 2025
Last update	January 2, 2025
Defined In	https://doi.org/10.1007/978-3-030-61527-7_21
Author	J. H. Hoos
More Authors	F. Hutter K. Leyton-Brown