MIP-2016-classification
OpenML dataset with id 41703
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Full work available at URL: https://api.openml.org/data/v1/download/21377445/MIP-2016-classification.arff
Upload date: 28 May 2019
Dataset Characteristics
Number of classes: 5
Number of features: 148 (numeric: 145, symbolic: 2 and in total binary: 0 )
Number of instances: 218
Number of instances with missing values: 0
Number of missing values: 0
source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll
PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/
The algorithm runtime data was directly taken from the '12 threads' table of H. Mittelmann's evaluations.
The features were generated using the MIP feature computation code from http://www.cs.ubc.ca/labs/beta/Projects/EPMs/
To record runtimes of the feature computations, runsolver was used: http://www.cril.univ-artois.fr/~roussel/runsolver/
Part of Open Algorithm Challenge 2017 ("Mira").
This page was built for dataset: MIP-2016-classification
