MIP-2016-PAR10-regression
OpenML dataset with id 41938
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/21378821/MIP-2016-PAR10-regression.arff
Upload date: 20 June 2019
Dataset Characteristics
Number of classes: 0
Number of features: 145 (numeric: 144, symbolic: 1 and in total binary: 0 )
Number of instances: 1,090
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-PAR10-regression
