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Friedman-datasets fri_c2_500_50 - submitted by mldata 2105 views, 5124 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 16:04 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_c0_500_50 - submitted by mldata 2203 views, 4707 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 15:57 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_c0_500_10 - submitted by mldata 4143 views, 4694 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 10 features, 1 output (11th feature), colinearity degree 0, and 500 instances.
- Data Shape: 11 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 (53.5 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:
Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 10 features, 1 output (11th feature), colinearity degree 0, and 500 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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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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statlib-20050214 irish - submitted by mldata 2693 views, 2986 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 15:05 CET Rating




- Summary:
(No information yet)
- Data Shape: 6 attributes, 500 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 (126.8 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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statlib-20050214 no2 - submitted by mldata 1938 views, 3095 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 14:48 CET Rating




- Summary:
(No information yet)
- Data Shape: 8 attributes, 500 instances (Integer,Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (37.2 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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Friedman-datasets fri_c2_500_5 - submitted by mldata 3886 views, 3963 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:28 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 2, 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 2, and 500 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.
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Friedman-datasets fri_c2_500_25 - submitted by mldata 5821 views, 7723 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:12 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 2, and 500 instances.
- Data Shape: 26 attributes, 500 instances (Floating Point)
- License: unknown (from Weka repository)
- Tags: arff colinearity Friedman-function 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 2, 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/.
