View Friedman-datasets fri_c0_250_50 (public)
























- Summary
(No information yet)
- License
- unknown (from Weka repository)
- Dependencies
- Tags
- arff slurped Weka
- Attribute Types
- Floating Point
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# Instances: 250 / # Attributes: 51
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- Original Data Format
- arff
- Name
- fri_c0_250_50
- 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 ... -0.48... 0.22... -0.55... -0.31... 1.26... 1.65... 0.76... 1.02... 0.51... 0.11... ... -1.36... -0.44... 0.83... 1.64... 0.61... -0.50... 1.03... 0.17... -0.67... 0.10... ... 0.66... 0.44... 0.89... -1.02... -1.20... -0.35... -0.68... -1.06... 0.76... -0.42... ... 0.91... -1.24... 0.88... -0.58... -0.53... 0.65... -1.51... 1.75... 0.73... 1.10... ... -1.28... -0.96... -0.29... 0.10... 0.16... 0.87... -1.03... 1.76... 1.29... -0.90... ... 0.03... -1.15... 1.18... -0.82... -0.59... 1.37... -0.40... -1.35... -1.22... 0.98... ... -0.20... -0.99... -1.37... 1.05... -1.04... 1.51... 0.53... 1.41... 0.36... -0.96... ... -0.00... 0.53... -0.05... 0.67... -1.53... 0.04... -0.52... 1.66... 1.32... 0.70... ... 0.41... -1.32... -0.00... 1.03... 0.60... 1.41... 1.67... -1.35... -0.31... -0.92... ... 0.80... -0.06... 1.44... -1.68... 1.48... 0.48... -0.82... -0.28... -1.45... -0.37... ... ... ... ... ... ... ... ... ... ... ... ...
- 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 10:02
- revision 2
- by jaakkopeltonen on 2010-11-22 18:22
- revision 3
- by jaakkopeltonen on 2011-09-14 15:57
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.