Public Archive Data

Showing Items 1-10 of 841 on page 1 of 85: 1 2 3 4 5 6 Next Last


  • Summary: PIMA indian diabetes data (scaled to [-1,1])
    Data Shape: 9 attributes, 768 instances ()
    License: unknown (from LibSVMTools repository)
    Tags: libsvm LibSVMTools slurped
    Tasks / Methods / Challenges: 2 tasks, 2 methods, 1 challenges
    Download: HDF5 (64.5 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: UCI boston housing data (scaled to [-1,1])
    Data Shape: 14 attributes, 506 instances ()
    License: unknown (from LibSVMTools repository)
    Tags: libsvm LibSVMTools slurped
    Tasks / Methods / Challenges: 1 tasks, 1 methods, 0 challenges
    Download: HDF5 (65.9 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 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: UCI boston housing data
    Data Shape: 14 attributes, 506 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 1 tasks, 1 methods, 0 challenges
    Download: HDF5 (59.7 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: bee data from Ryan Turner
    License: PDDL
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: zip (56.1 KB)
    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)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: Spatial Interpolation Comparison 2004, a geostatistical data set. Automatic mapping with prior knowledge in situations of routine and emergency
    License: CC0
    Tags: comparison geostatistics GIS interpolation spatial
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: zip (437.9 KB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: Spatial Interpolation Comparison 97, a geostatistical data set.
    License: CC0
    Tags: comparison geostatistics interpolation spatial statistics
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: zip (564.8 KB)
    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: 1024 attributes, 1000 instances ()
    License: ODbL
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (7.9 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: The flare solar dataset from the IDA Benchmark repository
    Data Shape: 10 attributes, 1066 instances ()
    License: PDDL
    Tags: IDA_Benchmark_Repository
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (20.7 KB) XML CSV ARFF LibSVM Matlab Octave

Showing Items 1-10 of 841 on page 1 of 85: 1 2 3 4 5 6 Next Last


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.

Data | Task | Method | Challenge

Acknowledgements

This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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http://www.pascal-network.org/.