Public Archive Data
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w3a - submitted by mldata 88 views, 4647 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:41 CET Rating
- Summary:
(No information yet)
- Data Shape: 301 attributes, 99498 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (7.2 MB) 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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datasets-numeric quake - submitted by mldata 2453 views, 4644 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
- Summary:
(No information yet)
- Data Shape: 4 attributes, 2178 instances (Integer,Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (70.5 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_c2_1000_50 - submitted by mldata 3985 views, 4641 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:24 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 50 features, 1 output (51st feature), colinearity degree 2, and 1000 instances.
- Data Shape: 51 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 (409.0 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:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 50 features, 1 output (51st feature), colinearity degree 2, and 1000 instances.
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Friedman-datasets fri_c0_500_5 - submitted by mldata 4003 views, 4637 downloads, 0 comments
last edited by jaakkopeltonen - Sep 14, 2011, 15:57 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 5 features, 1 output (6th feature), colinearity degree 0, and 500 instances.
- Data Shape: 6 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 (34.0 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:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 5 features, 1 output (6th feature), colinearity degree 0, and 500 instances.
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Drug-datasets chang - submitted by mldata 2013 views, 4631 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 14:35 CET Rating
- Summary:
(No information yet)
- Data Shape: 1143 attributes, 34 instances (Integer,Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (404.5 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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uci-20070111 pendigits - submitted by mldata 3312 views, 4631 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:58 CET Rating
- Summary:
(No information yet)
- Data Shape: 17 attributes, 10992 instances (Integer)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (745.3 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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Drug-datasets yprop_4_1 - submitted by mldata 1802 views, 4628 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 252 attributes, 8885 instances (Integer,Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (9.6 MB) 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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datasets-numeric longley - submitted by mldata 2363 views, 4627 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
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w4a - submitted by mldata 97 views, 4608 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:41 CET Rating
- Summary:
(No information yet)
- Data Shape: 301 attributes, 99498 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (7.2 MB) 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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svmguide4 - submitted by mldata 103 views, 4605 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:46 CET Rating
- Summary:
(No information yet)
- Data Shape: 11 attributes, 612 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (63.1 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/.