Public Archive Task

Showing Items 1-10 of 30 on page 1 of 3: 1 2 3 Next

  • Heart Sound Classification - submitted by Yiqi 296 views, 213 downloads, 0 comments
    last edited by Yiqi - Feb 3, 2012, 15:43 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Classify real heart audio (also known as “beat classification”) into one of four(three) categories for Dataset A(B).
    License: CC-BY-SA 3.0
    Performance Measure: Accuracy
    Task Type: Multi Class Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (9.8 KB) XML Matlab Octave

  • abalone-regression-task - submitted by demo 666 views, 725 downloads, 0 comments
    last edited by demo - Dec 3, 2010, 21:25 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: A simple regression task on the Abalone data
    License: CC-BY-SA 3.0
    Tags: abalone Regression
    Performance Measure: Root Mean Squared Error
    Task Type: Regression
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (50.8 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • average_minTest - submitted by mkloft 1519 views, 680 downloads, 0 comments
    last edited by mkloft - Nov 30, 2010, 16:41 CET Rating Whole StarWhole StarWhole StarWhole StarWhole Star


    Summary: minimize the test error in six different scenarios
    License: CC-BY-SA 3.0
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (110.5 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Banana classification - submitted by demo 1710 views, 822 downloads, 0 comments
    last edited by demo - Dec 2, 2010, 14:17 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Simple demo classification task on the banana dataset
    License: CC-BY-SA 3.0
    Tags: banana Classification demo
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 1 methods, 0 challenges
    Download: HDF5 (52.8 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Banana IDA Classification - submitted by sonne 916 views, 605 downloads, 0 comments
    last edited by sonne - Nov 24, 2010, 20:24 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: The banana task from the IDA Benchmark repository.
    License: CC-BY-SA 3.0
    Tags: Classification IDA_Benchmark_Repository
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 1 methods, 0 challenges
    Download: HDF5 (2.5 MB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • boston housing regression - submitted by cong 1377 views, 630 downloads, 0 comments
    last edited by cong - Nov 28, 2010, 16:04 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: The standard task for the boston housing dataset
    License: CC-BY-SA 3.0
    Tags: boston housing Regression uci
    Performance Measure: Root Mean Squared Error
    Task Type: Regression
    Methods / Challenges: 1 methods, 0 challenges
    Download: HDF5 (16.4 KB) XML Matlab Octave

  • boston housing scaled regression - submitted by cong 437 views, 630 downloads, 0 comments
    last edited by cong - Dec 2, 2010, 17:38 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: The standard task for the boston housing dataset
    License: CC-BY-SA 3.0
    Tags: boston housing Regression scaled uci
    Performance Measure: Root Mean Squared Error
    Task Type: Regression
    Methods / Challenges: 1 methods, 0 challenges
    Download: HDF5 (16.4 KB) XML Matlab Octave

  • Breast Cancer IDA Classification - submitted by sonne 331 views, 483 downloads, 0 comments
    last edited by sonne - Nov 24, 2010, 19:59 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: The breast cancer task from the IDA Benchmark repository.
    License: CC-BY-SA 3.0
    Tags: breast_cancer Classification IDA_Benchmark_Repository
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (149.3 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Breast Cancer prediction - submitted by kidzik 317 views, 296 downloads, 0 comments
    last edited by kidzik - Sep 15, 2011, 15:49 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Predict if given patient has breast cancer basing on his gene expression
    License: CC-BY-SA 3.0
    Tags: breast cancer
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (202.0 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Central nervous system (class) - submitted by kidzik 288 views, 377 downloads, 0 comments
    last edited by kidzik - Sep 15, 2011, 15:55 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Classification of patients of central nervous system embryonal tumor basing on gene expression.
    License: CC-BY-SA 3.0
    Tags: central expression gene nervous
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (66.5 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

Showing Items 1-10 of 30 on page 1 of 3: 1 2 3 Next

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Acknowledgements

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