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uci-20070111 cpu - submitted by mldata 2667 views, 2796 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 bolts - submitted by mldata 2268 views, 2853 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 autoMpg - submitted by mldata 1968 views, 3083 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 sleep - submitted by mldata 1901 views, 3322 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 veteran - submitted by mldata 2061 views, 3156 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 ecoli - submitted by mldata 1906 views, 2677 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:58 CET Rating
- Summary:
(No information yet)
- Data Shape: 8 attributes, 336 instances (Floating Point,String)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (45.4 KB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
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regression-datasets autoMpg - submitted by mldata 2707 views, 3264 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:58 CET Rating
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datasets-numeric cpu - submitted by mldata 4713 views, 4089 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
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datasets-numeric veteran - submitted by mldata 2381 views, 4351 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
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datasets-numeric sleep - submitted by mldata 2499 views, 4550 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.