View Friedman-datasets fri_c4_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_c4_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 ... 0.45... 1.05... 1.38... 1.17... 1.10... -1.14... -1.73... 1.16... -0.11... -1.31... ... -0.81... -1.40... -1.09... 0.45... -0.90... 0.81... -0.46... 1.47... 0.81... 1.91... ... -1.42... -1.16... -0.87... -0.54... -0.81... 0.50... -0.09... -0.23... 0.26... 1.72... ... -0.82... -0.07... 0.86... 1.10... 0.11... 0.31... 1.17... -0.30... 1.53... 0.02... ... -1.10... -1.31... -0.88... -1.42... -0.73... -0.65... -1.31... -0.88... -1.66... 0.49... ... -0.94... -0.92... -0.94... -0.80... -0.76... -1.48... -0.94... -1.18... -0.50... -0.66... ... -0.95... -1.25... -0.92... -1.31... -0.92... 1.73... 0.64... 1.41... 0.59... 0.76... ... 0.10... 0.82... -0.05... -1.50... -0.47... -1.00... -1.12... 0.47... -0.91... 0.40... ... 1.25... 0.96... 0.69... -0.11... 0.95... -0.28... -1.02... 0.00... -0.45... 1.39... ... -1.77... -1.00... -0.39... -1.50... -0.67... 0.08... -0.46... 0.19... 0.86... 1.46... ... ... ... ... ... ... ... ... ... ... ... ...
- 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/.