Public Archive Task

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

  • 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.

  • Multi-Task Classification - submitted by jeanbaptiste 226 views, 189 downloads, 0 comments
    last edited by jeanbaptiste - Mar 13, 2012, 15:27 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Learn simultaneously two mult-class classification tasks. , the first is to classify documents from Yahoo! web directory and the second is to classifiy documents from DMOZ web directory. Labels are different amog taks but the tasks are related
    License: CC-BY-SA 3.0
    Tags: Classification DMOZ multi-class multi-task text web-pages Yahoo!
    Performance Measure: Accuracy
    Task Type: Multi Class Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (10.7 KB) XML Matlab Octave

  • 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

  • Heart Sound Segmentation - submitted by Yiqi 293 views, 189 downloads, 0 comments
    last edited by Yiqi - Feb 3, 2012, 15:38 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Locating each and every heart sound in the sound clips.
    License: CC-BY-SA 3.0
    Performance Measure: Accuracy
    Task Type: Multi Class Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (10.6 KB) XML Matlab Octave

  • 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.

  • 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

  • Lung Cancer classification - submitted by kidzik 475 views, 457 downloads, 0 comments
    last edited by kidzik - Sep 15, 2011, 19:36 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Predict if given patient has lung cancer basing on his genotype.
    License: CC-BY-SA 3.0
    Tags: cancer Classification genotype lung tumor
    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.

  • 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.

  • Lung cancer Ontarion (class) - submitted by kidzik 278 views, 388 downloads, 0 comments
    last edited by kidzik - Sep 15, 2011, 17:26 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Predict relapse basing on genotype. Gene expression data on tumor specimens from a total of 39 NSCLC samples
    License: CC-BY-SA 3.0
    Tags: cancer lung ontarion relapse
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (33.3 KB) XML Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Colon Tumor classification - submitted by kidzik 332 views, 377 downloads, 0 comments
    last edited by kidzik - Sep 15, 2011, 15:59 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: Classification of colon tumor basing on genotype
    License: CC-BY-SA 3.0
    Tags: clasification colon genotype tumor
    Performance Measure: Accuracy
    Task Type: Binary Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (26.4 KB) XML Matlab Octave

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

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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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