Title: Experiment databases. A new way to share, organize and learn from experiments
Authors: Vanschoren, Joaquin ×
Blockeel, Hendrik
Pfahringer, Bernhard
Holmes, Geoffrey #
Issue Date: 2012
Publisher: Springer New York LLC
Series Title: Machine learning vol:87 issue:2 pages:127-158
Abstract: Thousands of machine learning research papers contain extensive experimental comparisons. However, the details of those experiments are often lost after publication, making it impossible to reuse these experiments in further research, or reproduce them to verify the claims made. In this paper, we present a collaboration framework designed to easily share machine learning experiments with the community, and automatically organize them in public databases. This enables immediate reuse of experiments for subsequent, possibly much broader investigation and offers faster and more thorough analysis based on a large set of varied results. We describe how we designed such an experiment database, currently holding over 650,000 classification experiments, and demonstrate its use by answering a wide range of interesting research questions and by verifying a number of recent studies.
ISSN: 0885-6125
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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