Public Archive Data
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Friedman-datasets fri_c3_100_50 - submitted by mldata 1998 views, 3356 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 51 attributes, 100 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (50.4 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:
(No information yet)
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Friedman-datasets fri_c3_1000_10 - submitted by mldata 1796 views, 3178 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 11 attributes, 1000 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (96.5 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:
(No information yet)
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Friedman-datasets fri_c3_1000_5 - submitted by mldata 1979 views, 3349 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 6 attributes, 1000 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (57.4 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:
(No information yet)
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Friedman-datasets fri_c1_250_25 - submitted by mldata 1735 views, 3456 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 26 attributes, 250 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (61.3 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:
(No information yet)
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Friedman-datasets fri_c1_250_5 - submitted by mldata 1853 views, 3443 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
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Friedman-datasets fri_c0_100_5 - submitted by mldata 1874 views, 3500 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
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Friedman-datasets fri_c0_100_10 - submitted by mldata 1943 views, 3434 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
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Friedman-datasets fri_c3_500_50 - submitted by mldata 1670 views, 3735 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 51 attributes, 500 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (209.8 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:
(No information yet)
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Friedman-datasets fri_c1_100_10 - submitted by mldata 1806 views, 3509 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
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Friedman-datasets fri_c1_1000_25 - submitted by mldata 1670 views, 3583 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 26 attributes, 1000 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (213.7 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:
(No information yet)
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/.