View Friedman-datasets fri_c2_250_10 (public)
























- Summary
(No information yet)
- License
- unknown (from Weka repository)
- Dependencies
- Tags
- arff slurped Weka
- Attribute Types
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# Instances: 250 / # Attributes: 11
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- Original Data Format
- arff
- Name
- fri_c2_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 ... 0.70... 0.44... 1.49... 1.36... -1.31... -0.57... -1.14... -0.19... 0.72... -1.35... ... -0.13... -0.16... -0.69... -0.62... 0.10... 0.28... -1.19... -1.36... 0.86... 1.04... ... 0.88... 1.12... -0.99... -1.80... 1.30... 1.43... 1.38... -1.55... -0.03... 1.23... ... 1.87... 1.66... -1.02... -1.56... -1.33... -1.52... 0.89... 0.46... 0.70... -1.24... ... 0.23... -0.24... -0.72... -0.53... -1.69... 1.32... -0.05... -0.40... 1.64... 1.50... ... -0.24... 0.07... 0.02... -0.37... 0.86... 1.49... 1.03... 0.39... -0.13... -0.38... ... -1.08... -1.14... -0.18... -0.49... 0.86... -0.56... -1.04... -0.19... 0.27... -1.43... ... -1.13... -0.65... -1.35... -1.28... 1.30... -1.21... 1.24... -1.09... -1.41... 0.10... ... 0.69... 1.01... 2.41... 1.31... -0.77... 0.46... 1.59... -1.40... 0.27... 1.19... ... -1.15... -1.65... -1.13... 0.83... -1.69... -0.86... 1.52... -1.36... 0.14... 0.45... ... ... ... ... ... ... ... ... ... ... ... ...
- 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
- revision 2
- by jaakkopeltonen on 2010-11-22 17:36
- revision 3
- by jaakkopeltonen on 2010-11-22 18:37
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.