Public Archive Data
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Friedman-datasets fri_c1_250_50 - submitted by mldata 1828 views, 3549 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_c1_500_10 - submitted by mldata 1999 views, 3355 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_c1_500_25 - submitted by mldata 1742 views, 3214 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- 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:
(No information yet)
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Friedman-datasets fri_c1_500_5 - submitted by mldata 1935 views, 3338 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- 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:
(No information yet)
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Friedman-datasets fri_c1_500_50 - submitted by mldata 1844 views, 3853 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 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_c2_1000_10 - submitted by mldata 1919 views, 3262 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 11 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 (96.5 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_25 - submitted by mldata 1847 views, 3494 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
- Summary:
(No information yet)
- Data Shape: 26 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 (213.7 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_5 - submitted by mldata 3953 views, 4386 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:40 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 1000 instances.
- Data Shape: 6 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 (57.4 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:
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 1000 instances.
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Friedman-datasets fri_c2_1000_50 - submitted by mldata 4335 views, 5035 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_c2_100_10 - submitted by mldata 1887 views, 3273 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 10:01 CET Rating
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/.