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datasets-numeric bodyfat - submitted by mldata 5997 views, 5583 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:57 CET Rating
- Summary:
(No information yet)
- Data Shape: 15 attributes, 252 instances (Integer,Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (43.7 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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bodyfat_scale - submitted by mldata 88 views, 5554 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:49 CET Rating
- Summary:
(No information yet)
- Data Shape: 15 attributes, 252 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (38.1 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_c4_250_100 - submitted by mldata 2358 views, 5366 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_c0_250_10 - submitted by mldata 2102 views, 4578 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 15:57 CET Rating
- Summary:
(No information yet)
- 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:
(No information yet)
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Friedman-datasets fri_c0_250_50 - submitted by mldata 3969 views, 5024 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 50 features, 1 output (51st feature), colinearity degree 0, and 250 instances.
- 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:
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 0, and 250 instances.
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Friedman-datasets fri_c1_250_10 - submitted by mldata 17909 views, 9533 downloads, 2 comments
last edited by jaakkopeltonen - Sep 14, 2011, 15:17 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 1, and 250 instances.
- Data Shape: 11 attributes, 250 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 (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 1, and 250 instances.
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statlib-20050214 prnn_synth - submitted by mldata 1872 views, 3524 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 15:15 CET Rating
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Friedman-datasets fri_c2_250_5 - submitted by mldata 8072 views, 8467 downloads, 0 comments
last edited by jaakkopeltonen - Sep 14, 2011, 14:55 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 250 instances.
- Data Shape: 6 attributes, 250 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 (22.3 KB) XML CSV ARFF LibSVM Matlab Octave
- 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 250 instances.
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Friedman-datasets fri_c0_250_5 - submitted by mldata 1746 views, 3495 downloads, 0 comments
last edited by mldata - Sep 14, 2011, 14:35 CET Rating
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Friedman-datasets fri_c0_250_25 - submitted by mldata 1670 views, 3744 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)
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/.