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Friedman-datasets fri_c4_100_10 - submitted by mldata 1861 views, 3251 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
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Friedman-datasets fri_c4_100_100 - submitted by mldata 2438 views, 4815 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 16:04 CET Rating
- Summary:
(No information yet)
- Data Shape: 101 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 (95.5 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_c4_100_25 - submitted by mldata 1847 views, 3270 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 26 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 (30.9 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_c4_100_50 - submitted by mldata 1952 views, 3622 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_c4_250_10 - submitted by mldata 3985 views, 4163 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:15 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 4, and 250 instances.
- Data Shape: 11 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 (32.0 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 10 features, 1 output (11th feature), colinearity degree 4, and 250 instances.
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Friedman-datasets fri_c4_250_100 - submitted by mldata 2419 views, 5459 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 16:04 CET Rating
- Summary:
(No information yet)
- Data Shape: 101 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 (213.8 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_c4_250_25 - submitted by mldata 1910 views, 3170 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_c4_250_50 - submitted by mldata 1807 views, 3363 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 51 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 (110.2 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_c4_500_10 - submitted by mldata 1842 views, 3259 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- 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:
(No information yet)
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Friedman-datasets fri_c4_500_25 - submitted by mldata 3960 views, 4267 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/.