View Friedman-datasets fri_c3_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_c3_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 ... 1.01... -0.06... 0.55... 0.49... 0.74... 0.64... 1.43... 0.28... 1.52... -0.75... ... -1.85... -1.73... -0.53... 1.32... -0.95... -1.43... 1.48... 1.15... 0.67... 0.61... ... 0.07... 0.63... 1.05... 0.57... 0.65... 1.22... 0.44... -1.53... 0.36... 1.08... ... -0.28... -0.92... -0.87... 1.26... -1.05... -1.19... -1.30... -0.56... -0.44... 0.06... ... -0.91... -0.77... -0.50... 0.72... -0.71... -0.36... 1.23... 1.07... -0.30... -0.05... ... 0.64... 0.28... 0.56... 0.11... 0.57... 1.22... -1.14... -0.83... -1.18... -1.03... ... -0.18... 0.41... -0.98... -1.25... -0.70... 1.23... 1.68... 0.00... -1.55... -0.06... ... -0.38... -0.68... -0.48... -0.72... -0.86... -0.01... 0.30... -1.10... -0.88... -0.31... ... 0.75... 0.50... 0.78... 0.60... 0.92... 1.78... -0.61... 0.81... -1.19... 0.37... ... -0.70... -1.16... -0.39... -1.34... -0.83... 1.85... 1.51... 0.12... -0.61... 1.57... ... ... ... ... ... ... ... ... ... ... ... ...
- 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/.