Public Archive Data


  • Summary: (No information yet)
    Data Shape: 12 attributes, 133 instances (Floating Point,String)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (43.4 KB) XML CSV ARFF LibSVM Matlab Octave
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  • Summary: (No information yet)
    Data Shape: 7 attributes, 625 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (34.0 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: 9 attributes, 22784 instances (Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (1.6 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: 12 attributes, 133 instances (Floating Point,String)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (43.4 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: 8 attributes, 158 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (21.5 KB) XML CSV ARFF LibSVM Matlab Octave

  • Summary: Kernel matrix for Caltech 256, with 30 examples per class for training
    License: CC0
    Tags: caltech Kernel Output
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: matlab (352.7 MB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: Banana data set from the IDA Benchmark repository
    Data Shape: 3 attributes, 5300 instances ()
    License: PDDL
    Tags: IDA_Benchmark_Repository
    Tasks / Methods / Challenges: 2 tasks, 2 methods, 0 challenges
    Download: HDF5 (134.8 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: The German data set from the IDA Benchmark repository.
    Data Shape: 20 attributes, 1000 instances ()
    License: PDDL
    Tags: IDA_Benchmark_Repository
    Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
    Download: HDF5 (174.6 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: The classic iris flower data
    Data Shape: 5 attributes, 150 instances (Floating Point,String)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 1 tasks, 2 methods, 1 challenges
    Download: HDF5 (24.4 KB) XML CSV ARFF LibSVM Matlab Octave

  • Summary: Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 10 features, 1 output (11th feature), colinearity degree 1, and 250 instances.
    Data Shape: 11 attributes, 250 instances (Floating Point)
    License: unknown (from Weka repository)
    Tags: arff colinearity Friedman-function slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (32.0 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.

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Disclaimer

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/.