Public Archive Data
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statlib-20050214 diggle_table_a3 - submitted by mldata 1853 views, 2638 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:00 CET Rating
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uci-20070111 kdd_coil_test-7 - submitted by mldata 2084 views, 2635 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
- Summary:
(No information yet)
- Data Shape: 12 attributes, 133 instances (Floating Point,String)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (43.4 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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uci-20070111 kdd_coil_test-4 - submitted by mldata 1817 views, 2629 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
- Summary:
(No information yet)
- Data Shape: 12 attributes, 133 instances (Floating Point,String)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (43.4 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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statlib-20050214 sleuth_ex1024 - submitted by mldata 1645 views, 2619 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:00 CET Rating
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Leukemia MLL - submitted by kidzik 23 views, 2613 downloads, 0 comments
last edited by kidzik - Sep 7, 2011, 11:07 CET Rating
- Summary:
Training data contains 57 leukemia samples (20 ALL, 17 MLL and 20 AML). Testing data contains 4 ALL, 3 MLL and 8 AML samples. In the above publication, it mentioned only 3 AML testing samples.
- License: unknown (from UCI repository)
- Tags: all aml Classification Leukemia MLL
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (3.5 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Training data contains 57 leukemia samples (20 ALL, 17 MLL and 20 AML). Testing data contains 4 ALL, 3 MLL and 8 AML samples. In the above publication, it mentioned only 3 AML testing samples.
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statlib-20050214 lupus - submitted by mldata 2173 views, 2610 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
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uci-20070111 bridges_version1 - submitted by mldata 2028 views, 2599 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:58 CET Rating
- Summary:
(No information yet)
- Data Shape: 13 attributes, 107 instances (Integer,Floating Point,String)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (62.2 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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statlib-20050214 sleuth_ex0822 - submitted by mldata 1672 views, 2594 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:00 CET Rating
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statlib-20050214 csb_ch3a - submitted by mldata 1781 views, 2593 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:00 CET Rating
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uci-20070111 kdd_coil_test-2 - submitted by mldata 2038 views, 2591 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:59 CET Rating
- Summary:
(No information yet)
- Data Shape: 12 attributes, 133 instances (Floating Point,String)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (43.4 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)
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/.