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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.
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Friedman-datasets fri_c3_1000_25 - submitted by mldata 1603 views, 3344 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_c1_250_25 - submitted by mldata 1627 views, 3274 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_c1_1000_25 - submitted by mldata 1583 views, 3424 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_c3_100_25 - submitted by mldata 1672 views, 3128 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_c2_250_25 - submitted by mldata 1652 views, 3116 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_100_25 - submitted by mldata 1719 views, 3051 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_c2_100_25 - submitted by mldata 1681 views, 3175 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_c0_1000_25 - submitted by mldata 1818 views, 3600 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_c4_1000_25 - submitted by mldata 1720 views, 3353 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)
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/.