Data
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Friedman-datasets fri_c1_250_10 - submitted by mldata 17636 views, 9417 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.
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Friedman-datasets fri_c2_250_5 - submitted by mldata 7991 views, 8365 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
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Friedman-datasets fri_c2_500_25 - submitted by mldata 6067 views, 7942 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.
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/.