View Friedman-datasets fri_c1_100_5 (public)

2010-11-22 17:20 by jaakkopeltonen | Version 2 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
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Summary

Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 5 features, 1 output (6th feature), colinearity degree 1, and 100 instances.

License
unknown (from Weka repository)
Dependencies
Tags
arff slurped Weka
Attribute Types
Floating Point
Download
# Instances: 100 / # Attributes: 6
HDF5 (15.2 KB) XML CSV ARFF LibSVM Matlab Octave
Completeness of this item currently: 66%.
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Original Data Format
arff
Name
fri_c1_100_5
Version mldata
0
Comment
Names
oz1,oz2,oz3,oz4,oz5,oz6,
Types
  1. numeric
  2. numeric
  3. numeric
  4. numeric
  5. numeric
  6. numeric
Data (first 10 data points)
    oz1 oz2 oz3 oz4 oz5 oz6
    -0.39... -0.28... -0.08... 1.05... -1.38... 0.66...
    0.59... 1.37... -0.89... 1.51... 0.81... -1.20...
    -1.65... -1.42... -0.93... -1.36... -0.75... -1.38...
    -0.60... -0.17... -0.77... 0.17... 0.41... 1.13...
    -1.39... -1.61... 0.12... -1.20... 0.69... -0.87...
    2.31... 1.99... 1.17... -1.76... 1.23... 0.03...
    1.92... 1.23... 1.79... 0.02... -1.24... -0.46...
    0.45... -0.36... 1.32... 1.42... 0.67... 1.82...
    -0.30... -0.56... 0.11... -0.58... -1.38... -0.09...
    0.97... 1.17... -0.65... 0.08... 0.22... -1.93...
    ... ... ... ... ... ...
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 17:20
    revision 3
    by jaakkopeltonen on 2010-11-22 17:21

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    We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.

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    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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