Public Archive Task

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

  • 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.

  • 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.

  • 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

  • Diabetes IDA Classification - submitted by sonne 1256 views, 862 downloads, 0 comments
    last edited by demo - Dec 3, 2010, 15:25 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: The diabetes task from the IDA Benchmark repository.
    License: CC-BY-SA 3.0
    Tags: Classification diabetes IDA_Benchmark_Repository
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (389.1 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Sweets recommender system - submitted by kidzik 995 views, 360 downloads, 0 comments
    last edited by kidzik - Sep 27, 2011, 11:18 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Ratings prediction basing on other users' votes.
    License: CC-BY-SA 3.0
    Tags: collaborative-filtering Prediction recommender Regression sweetrs sweets
    Performance Measure: Mean Absolute Error
    Task Type: Regression
    Methods / Challenges: 1 methods, 0 challenges
    Download: HDF5 (28.2 KB) XML Matlab Octave

  • 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.

  • Ovarian cancer classification - submitted by kidzik 905 views, 425 downloads, 0 comments
    last edited by kidzik - Sep 15, 2011, 18:41 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: The goal of this experiment is to identify proteomic patterns in serum that distinguish ovarian cancer from non-cancer
    License: CC-BY-SA 3.0
    Tags: cancer Classification ovarian
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (129.1 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Jokes ratings prediction - submitted by kidzik 852 views, 426 downloads, 0 comments
    last edited by kidzik - Sep 29, 2011, 12:18 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Collaborative filtering task for jokes
    License: CC-BY-SA 3.0
    Performance Measure: Accuracy
    Task Type: Regression
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (82.4 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • pima binclass roc - submitted by cong 739 views, 700 downloads, 0 comments
    last edited by cong - Nov 28, 2010, 15:32 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: The standard task for the pima indian diabetes binary classification dataset
    License: CC-BY-SA 3.0
    Tags: binary Classification diabetes pima roc
    Performance Measure: ROC Curve
    Task Type: Binary Classification
    Methods / Challenges: 1 methods, 0 challenges
    Download: HDF5 (20.8 KB) XML Matlab Octave

  • pima binclass - submitted by cong 700 views, 719 downloads, 0 comments
    last edited by cong - Nov 28, 2010, 14:44 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: The standard task for the pima indian diabetes binary classification dataset
    License: CC-BY-SA 3.0
    Tags: binary Classification diabetes pima
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 1 methods, 1 challenges
    Download: HDF5 (20.8 KB) XML Matlab Octave

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

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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