View Friedman-datasets fri_c4_250_10 (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: 11
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- Original Data Format
- arff
- Name
- fri_c4_250_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 ... -0.53... -0.16... 0.71... 1.47... -0.18... -1.01... -1.39... -1.04... 0.48... 0.15... ... -0.20... 0.61... 1.26... 0.91... 0.52... 1.57... 0.98... 0.94... -0.91... 1.11... ... 0.88... 1.28... 1.76... 0.98... 1.55... -0.06... -1.18... 1.35... -0.54... 0.05... ... 1.12... 1.53... 1.90... 1.00... 2.18... -0.28... -0.53... 0.15... -0.19... -1.22... ... 0.88... 0.52... -0.09... -0.04... -0.11... -1.05... -1.43... -1.29... -0.03... -0.81... ... -1.18... -0.98... -0.89... -0.46... -0.87... -0.51... 0.35... 0.97... 0.39... -1.34... ... 0.25... 0.74... 1.23... 0.49... 0.75... 0.27... -0.47... 0.89... -0.51... -1.09... ... -0.07... 0.42... -0.40... -1.26... -0.47... 2.80... 1.75... 0.50... -0.30... 1.62... ... -0.70... -0.89... -0.84... -0.92... -0.60... 0.12... -0.12... 0.54... -0.85... 0.60... ... 1.10... 1.66... 1.10... 0.25... 0.86... -0.23... -0.89... -0.31... -1.03... 1.41... ... ... ... ... ... ... ... ... ... ... ... ...
- 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 18:14
- revision 3
- by jaakkopeltonen on 2010-11-22 18:15
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.