View Friedman-datasets fri_c0_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_c0_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 ... 0.31... 0.23... 0.94... -1.31... -0.03... 0.99... 0.04... 1.50... 1.28... 0.54... ... -0.84... 1.58... 0.34... 0.92... -1.07... -1.04... -0.70... 0.60... 1.11... -0.93... ... 1.03... -0.70... -1.30... -0.71... 1.10... 1.68... -1.37... -0.96... -0.05... 1.61... ... -0.51... 0.56... 0.97... 1.53... 0.85... 0.76... 1.77... 0.46... 1.31... 1.58... ... -1.42... 1.17... 0.11... -1.46... -0.03... -0.18... 0.59... -1.51... -1.69... 0.97... ... 0.28... 0.46... -0.18... -1.11... 0.56... -0.06... 1.36... 0.65... 1.70... 0.32... ... 0.43... 1.35... 0.39... -1.56... 1.06... -1.56... -0.02... -0.41... -1.37... 0.53... ... 1.57... -1.20... 0.80... 1.13... 0.93... -1.40... 1.75... -1.86... -1.28... -0.57... ... -0.36... 1.02... -0.35... 0.73... 0.79... 1.19... -1.24... -0.39... -0.35... -1.42... ... 1.65... -0.90... -1.25... -0.38... 0.33... -0.45... -0.70... 0.45... 0.32... 0.40... ... ... ... ... ... ... ... ... ... ... ... ...
- 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/.