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  "fetched_at": "2026-10-20T07:48:28Z",
  "source_url": "https://www.kaggle.com/competitions/fast/data",
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      "name": "data-description",
      "content": "<h2>File descriptions</h2>\r\n<ul>\r\n<li><strong>musictrain.mat</strong> - has the training set and their labels and the test set</li>\r\n<li><strong>music_sample_prediction.csv</strong> - sample submission file</li>\r\n</ul>\r\n<p>Taken from:</p>\r\n<p>http://www.cvc.uab.es/~afornes/datasets/datasets.htm</p>\r\n<p><strong>Reference</strong></p>\r\n<p>A.Fornés, J.Lladós, G. Sanchez, \"Old Handwritten Musical Symbol Classification by a Dynamic Time Warping Based Method\", in Graphics Recognition: Recent Advances and New Opportunities. Liu, W. and Lladós, J. and Ogier, J.M. editors, Lecture Notes in Computer Science, Volume 5046, Pages 51-60, Springer-Verlag Berlin, Heidelberg, 2008.</p>",
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      "name": "Description",
      "content": "<p><strong>CS 557: STATISTICAL PATTERN RECOGNITION AND LEARNING</strong></p>\r\n<p><strong>DUE: October 17, 2015.</strong></p>\r\n<p><strong>PROBLEM</strong><br />1. Read the datasets in the file ‘music.mat’. This is a subset of a dataset of music symbols taken from:</p>\r\n<p>http://www.cvc.uab.es/~afornes/datasets/datasets.htm<br />Please see Fornés' paper cited at the end for more details:</p>\r\n<p>These images are gray scale images and have all been rescaled to 20x20 images. You can view an image as (e.g., at row 1):</p>\r\n<p>X = trainX(1,:);</p>\r\n<p>im=reshape(X,20,20);</p>\r\n<p>imagesc(im);<br />You have trainX and trainY for tuning your model.  You have to make submissions on the test set.<br />3. You have to apply LDA, LLE and MDS to this dataset and use any classifier of your choice to make predictions.</p>\r\n<p><strong>REFERENCES</strong></p>\r\n<p>A.Fornés, J.Lladós, G. Sanchez, \"Old Handwritten Musical Symbol Classification by a Dynamic Time Warping Based Method\", in Graphics Recognition: Recent Advances and New Opportunities. Liu, W. and Lladós, J. and Ogier, J.M. editors, Lecture Notes in Computer Science, Volume 5046, Pages 51-60, Springer-Verlag Berlin, Heidelberg, 2008.</p>",
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      "name": "Evaluation",
      "content": "<p>The evaluation metric is the auc (area under the ROC curve) which measures the accuracy of prediction of each of the 4 classes and then takes the average.</p>\r\n<h2>Submission Format</h2>\r\n<p>The submission file should consist of 5 columns.  The first column is the id, which should be set to the row number of the test file for which you are making a prediction.  The rest of the 4 columns have predictions corresponding to the class number.  A sample submission file is also uploaded on this competition.  The following is an example of predictions on first 5 rows of test data.</p>\r\n<pre><span style=\"font-size: 14px; line-height: 1.4em;\">id,class1,class2,class3,class4<br />1,0.56023,0.59614,0.93542,0.44456<br />2,0.54416,0.51354,0.98959,0.49055<br />3,0.84228,0.89583,0.46572,0.69443<br />4,0.78797,0.18583,0.3638,0.93081<br />5,0.53637,0.093502,0.090336,0.15515<br /><br /><br /></span></pre>",
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      "name": "rules",
      "content": "\r\n\t<!-- Begin Base Rules -->\r\n    <h3>One account per participant</h3>\r\n    <p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\r\n    <h3>No private sharing outside teams</h3>\r\n    <p>\r\n        Privately sharing code or data outside of teams is not permitted.\r\n        It's okay to share code if made available to all participants on the forums.\r\n    </p>\r\n    <h3>Team Mergers</h3>\r\n    <p>Team mergers are not allowed in this competition.</p>\r\n\r\n    <h3>Team Limits</h3>\r\n    <p>There is no maximum team size.</p>\r\n    <h3>Submission Limits</h3>\r\n    <p>You may submit a maximum of 20 entries per day.</p>\r\n    <p>You may select up to 15 final submissions for judging.</p>\r\n    <h3>Competition Timeline</h3>\r\n    <p>Start Date: <strong>10/8/2015 10:48 PM UTC</strong></p>\r\n    <p>Merger Deadline: <strong>None</strong></p>\r\n    <p>Entry Deadline: <strong>None</strong></p>\r\n    <p>End Date: <strong>10/21/2015 11:59 PM UTC</strong></p>\r\n\t<!-- End Base Rules -->\r\n",
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