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uci-20070111 cpu - submitted by mldata 2756 views, 2955 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 bolts - submitted by mldata 2359 views, 3015 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 autoMpg - submitted by mldata 2057 views, 3231 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 sleep - submitted by mldata 2003 views, 3487 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 veteran - submitted by mldata 2153 views, 3330 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 ecoli - submitted by mldata 2001 views, 2836 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 2809 views, 3419 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:58 CET Rating
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datasets-numeric cpu - submitted by mldata 4827 views, 4327 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
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datasets-numeric veteran - submitted by mldata 2519 views, 4590 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
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datasets-numeric sleep - submitted by mldata 2616 views, 4773 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/.