Public Archive Task

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

  • Chars74K tasks - submitted by teo 88 views, 39 downloads, 0 comments
    last edited by teo - Feb 15, 2012, 12:58 CET Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star


    Summary: List of subsets of the Chars74K indicating train, validation and test sets
    License: CC-BY-SA 3.0
    Tags: character-recognition computer-vision handwritten-digits
    Performance Measure: Accuracy
    Task Type: Multi Class Classification
    Methods / Challenges: 0 methods, 0 challenges
    Download: HDF5 (12.6 KB) XML Matlab Octave

  • Heart Sound Classification - submitted by Yiqi 66 views, 38 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 64 views, 34 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 647 views, 175 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 712 views, 179 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 327 views, 233 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 585 views, 189 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 173 views, 174 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 192 views, 170 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

  • Central nervous system (class) - submitted by kidzik 168 views, 150 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

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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