Public Archive Data
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uci-20070111 colicORIG - submitted by mldata 1804 views, 2996 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:58 CET Rating
- Summary:
(No information yet)
- Data Shape: 28 attributes, 368 instances (Integer,Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (92.4 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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regression-datasets pyrim - submitted by mldata 2214 views, 3198 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
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datasets-UCI colicORIG - submitted by mldata 2178 views, 4355 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
- Summary:
(No information yet)
- Data Shape: 28 attributes, 368 instances (Integer,Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (92.4 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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pyrim - submitted by mldata 146 views, 4812 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:49 CET Rating
- Summary:
(No information yet)
- Data Shape: 28 attributes, 74 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (26.1 KB) XML CSV ARFF LibSVM Matlab Octave
- Summary:
(No information yet)
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pyrim_scale - submitted by mldata 61 views, 4479 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:49 CET Rating
- Summary:
(No information yet)
- Data Shape: 28 attributes, 74 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (26.2 KB) XML CSV ARFF LibSVM Matlab Octave
- Summary:
(No information yet)
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Friedman-datasets fri_c0_500_25 - submitted by mldata 3616 views, 4710 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 26 features, 1 output (26th feature), colinearity degree 0, and 500 instances.
- Data Shape: 26 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 (112.1 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:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 26 features, 1 output (26th feature), colinearity degree 0, and 500 instances.
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uci-20070111 autoHorse - submitted by mldata 2075 views, 2761 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 15:15 CET Rating
- Summary:
(No information yet)
- Data Shape: 26 attributes, 205 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 (106.0 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:
(No information yet)
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Friedman-datasets fri_c0_250_25 - submitted by mldata 1562 views, 3569 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 14:35 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_c3_250_25 - submitted by mldata 3747 views, 4239 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:42 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 26 features, 1 output (26th feature), colinearity degree 3, and 250 instances.
- 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:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 26 features, 1 output (26th feature), colinearity degree 3, and 250 instances.
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Friedman-datasets fri_c4_500_25 - submitted by mldata 3632 views, 3966 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:26 CET Rating
- Summary:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 25 features, 1 output (26th feature), colinearity degree 4, and 500 instances.
- Data Shape: 26 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 (112.1 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:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 25 features, 1 output (26th feature), colinearity degree 4, and 500 instances.
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/.