View Friedman-datasets fri_c1_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_c1_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 ... -1.04... -1.78... 1.35... -1.05... 1.09... -0.67... -0.53... -0.25... 0.28... 0.61... ... -0.09... 0.47... -0.76... -1.20... -0.18... -1.88... -0.08... -1.46... -0.59... -0.78... ... 0.88... 0.65... 0.91... 0.15... -1.39... 1.16... 0.28... -0.77... 0.37... -0.68... ... 1.45... 1.16... 0.02... -0.12... -1.30... 0.37... 1.85... 1.31... 0.16... -0.04... ... -0.32... 0.58... -1.20... -0.56... 0.47... 0.91... 0.05... 0.54... 1.44... 0.63... ... 0.88... 1.41... -0.41... 1.1419 0.10... -0.00... -0.99... -0.24... 1.26... -0.70... ... -0.13... 0.31... -0.96... -0.54... -0.56... 0.14... -1.04... 1.02... 0.39... 0.36... ... -1.97... -2.03... -0.79... 0.68... -0.60... 0.66... -0.15... 0.49... 0.24... 0.87... ... -0.85... -1.14... 0.71... 1.55... 0.18... -1.21... 0.00... -0.08... 0.05... -0.95... ... -0.64... 0.30... -1.68... -1.65... -0.76... 1.11... -1.54... 0.98... -0.61... -0.06... ... ... ... ... ... ... ... ... ... ... ... ...
- 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/.