Public Archive Data
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regression-datasets ailerons - submitted by mldata 3885 views, 4302 downloads, 0 comments
last edited by mldata - Nov 6, 2010, 09:58 CET Rating
- Summary:
(No information yet)
- Data Shape: 41 attributes, 13750 instances (Integer,Floating Point)
- License: unknown (from Weka repository)
- Tags: arff slurped Weka
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (4.1 MB) 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 3871 views, 4071 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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DLBCL Outcome from Harvard - submitted by kidzik 3864 views, 12691 downloads, 0 comments
last edited by kidzik - Sep 15, 2011, 12:49 CET Rating
- Summary:
There are two kinds of classifications about diffuse large b-cell lymphoma (DLBCL) addressed in the publication.
- Data Shape: 7130 attributes, 58 instances (Integer,String)
- License: unknown (from UCI repository)
- Tags: dlbcl Harvard lymphoma outcome
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (2.2 MB) 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:
There are two kinds of classifications about diffuse large b-cell lymphoma (DLBCL) addressed in the publication.
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Friedman-datasets fri_c3_250_5 - submitted by mldata 3863 views, 4342 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 17:16 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 3, and 250 instances.
- Data Shape: 6 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 (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 3, and 250 instances.
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Friedman-datasets fri_c0_500_25 - submitted by mldata 3860 views, 4940 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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Friedman-datasets fri_c4_500_25 - submitted by mldata 3860 views, 4176 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_c1_1000_50 - submitted by mldata 3859 views, 4761 downloads, 0 comments
last edited by jaakkopeltonen - Nov 22, 2010, 18:38 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 1, 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 1, and 1000 instances.
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Friedman-datasets fri_c2_1000_5 - submitted by mldata 3850 views, 4294 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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DLBCL Tumor from Harvard - submitted by kidzik 3844 views, 20986 downloads, 0 comments
last edited by kidzik - Sep 15, 2011, 12:51 CET Rating
- Summary:
There are two kinds of classifications about diffuse large b-cell lymphoma (DLBCL) addressed in the publication.
- Data Shape: 7130 attributes, 77 instances (Integer,String)
- License: unknown (from UCI repository)
- Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
- Download: HDF5 (2.7 MB) 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:
There are two kinds of classifications about diffuse large b-cell lymphoma (DLBCL) addressed in the publication.
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Chars74K Kannada hnd - submitted by teo 3821 views, 2618 downloads, 0 comments
last edited by teo - Sep 24, 2012, 22:17 CET Rating
- Summary:
Images and data files of Kannada characters drawn on a tablet PC
- License: ODbL
- Tags: character-recognition computer-vision
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: tgz (125.8 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Images and data files of Kannada characters drawn on a tablet PC
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/.