Public Archive Data


  • Summary: (No information yet)
    Data Shape: 37 attributes, 3196 instances (String)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (4.5 MB) XML CSV ARFF LibSVM Matlab Octave
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  • Summary: (No information yet)
    Data Shape: 41 attributes, 13750 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (4.1 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • 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 0, and 1000 instances.
    Data Shape: 6 attributes, 1000 instances (Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (57.4 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 10 attributes, 699 instances (Integer,String)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (74.3 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: Kernel matrix for Caltech 101, with 30 examples per class for training
    License: CC0
    Tags: caltech Kernel Output
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: matlab (60.4 MB)
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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 2, and 1000 instances.
    Data Shape: 6 attributes, 1000 instances (Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (57.4 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 18 attributes, 339 instances (String)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (262.5 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 11 attributes, 40768 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (1.9 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 10 attributes, 1483 instances (Integer)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (72.2 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 49 attributes, 15000 instances (Integer)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (2.8 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

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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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http://www.pascal-network.org/.