View Friedman-datasets fri_c2_100_10 (public)
























- Summary
(No information yet)
- License
- unknown (from Weka repository)
- Dependencies
- Tags
- arff slurped Weka
- Attribute Types
- Floating Point
- Download
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# Instances: 100 / # Attributes: 11
HDF5 (19.1 KB) XML CSV ARFF LibSVM Matlab Octave
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- Original Data Format
- arff
- Name
- fri_c2_100_10
- Version mldata
- 0
- Comment
- Names
- oz1,oz2,oz3,oz4,oz5,oz6,oz7,oz8,oz9,oz10,
- Types
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- Data (first 10 data points)
oz1 oz2 oz3 oz4 oz5 oz6 oz7 oz8 oz9 oz10 ... 0.82... 0.73... -0.06... -0.00... -0.55... 1.47... 1.08... -0.61... 0.93... 0.88... ... 0.21... 0.29... -0.48... -0.83... 0.20... -0.31... 1.58... -0.36... -0.67... -1.38... ... -0.35... -0.33... -0.05... -0.03... -0.14... 1.52... 1.07... -1.02... 1.22... -1.04... ... 4.86... 0.32... -0.07... 0.75... -0.52... -0.63... -1.45... 0.49... -0.89... -1.10... ... 0.28... 0.32... 0.37... 0.33... -0.08... 0.57... -0.93... 0.08... 1.08... -1.01... ... -1.55... -1.37... -1.47... 0.66... -1.29... -0.96... -0.75... 1.05... -1.55... 0.37... ... 0.89... 1.21... 2.58... 1.87... 1.20... -1.43... 0.41... -1.07... 0.16... 1.46... ... -1.52... -1.42... -0.37... 0.85... -1.10... 0.99... 0.76... -1.52... 0.36... 0.14... ... 1.98... 1.81... -1.65... -1.57... -0.60... -0.50... -1.05... -1.10... 0.62... -0.46... ... -1.42... -1.18... -1.09... -0.09... -1.39... -0.63... -1.12... 0.42... 1.66... -0.77... ... ... ... ... ... ... ... ... ... ... ... ...
- Description
A zip file containing 80 artificial datasets generated from the Friedman function donated by Dr. M. Fatih Amasyali (Yildiz Technical Unversity) (Friedman-datasets.zip, 5,802,204 Bytes)
- URLs
- (No information yet)
- Publications
- Data Source
- http://www.ce.yildiz.edu.tr/en/myindex.php?id=14 http://www.ce.yildiz.edu.tr/
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2010-11-06 10:01
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.