View Friedman-datasets fri_c2_1000_50 (public)
























- Summary
(No information yet)
- License
- unknown (from Weka repository)
- Dependencies
- Tags
- arff slurped Weka
- Attribute Types
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# Instances: 1000 / # Attributes: 51
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- Original Data Format
- arff
- Name
- fri_c2_1000_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 ... 0.39... 0.22... 0.81... 0.73... 1.12... -1.69... 1.01... 0.74... 1.51... -0.86... ... -1.13... -0.24... 0.08... 0.59... -0.25... 1.04... 0.75... -1.40... -0.54... -1.27... ... -0.44... -1.07... -0.20... 0.76... 0.24... -1.10... 0.82... -1.23... 1.14... 1.55... ... -0.92... -1.52... -1.34... 0.34... 0.07... -1.31... -0.72... 0.55... -0.71... 0.31... ... 0.01... 0.74... 0.54... -0.28... 1.47... -1.13... 0.70... 0.19... 0.72... 0.46... ... 1.82... 1.61... 0.80... 0.01... -0.97... -0.32... 1.42... -0.06... 0.37... -0.70... ... -0.53... -1.07... -0.88... -0.07... -0.18... 0.15... -1.61... 1.39... 1.49... -0.48... ... 0.28... 1.28... 2.13... 1.12... -0.22... 0.82... 1.56... 0.92... -0.68... -0.76... ... -0.07... 0.65... 1.16... 0.57... -0.18... 1.05... 0.59... 0.60... -1.55... 1.54... ... -1.93... -1.60... -1.06... 1.13... -0.67... 1.77... 1.49... 1.59... 0.93... 0.74... ... ... ... ... ... ... ... ... ... ... ... ...
- 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 18:24
- revision 3
- by jaakkopeltonen on 2010-11-22 18:24
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.