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  "source_url": "https://www.kaggle.com/competitions/delana-regression2/data",
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      "name": "data-description",
      "content": "<p>Use secondary features extracted from events between firrst and last summissions to an assignment to predict overall performance improvement.</p>\r\n<h2>File descriptions</h2>\r\n<p><strong>dataset.pickle</strong> - training set raw data (available on Moodle)<br /><strong>dataset_test.pickle</strong> - the test set raw data (available on Moodle)<br /><strong>regresssion_template.csv</strong>: list of points in the test data which should be included in your final submission <br /><strong>classifier_sampleResults.csv</strong> - a sample submission file in the correct format</p>\r\n<h3>Event types</h3>\r\n<p><strong>Forum.Comment.Downvote</strong> - downvoting a forum comment<br /><strong>Forum.Comment.Upvote</strong> - upvoting a forum comment<br /><strong>Forum.Load</strong> - viewing a forum<br /><strong>Forum.Post.CommentOn</strong> - commenting a forum post<br /><strong>Forum.Post.Downvote</strong> - downvoting a forum post<br /><strong>Forum.Post.Upvote</strong> - upvoting a forum post<br /><strong>Forum.Subscribe</strong> - subscribing to a forum<br /><strong>Forum.Thread.Launch</strong> - launching a thread on forum<br /><strong>Forum.Thread.PostOn</strong> - posting on a thread on forum<br /><strong>Forum.ThreadSubscribe</strong> - subscribing to a thread on forum<br /><strong>Forum.Thread.View</strong> - viewing a thread on forum<br /><strong>Problem.Check</strong> - submitting an assignment<br /><strong>Video.Download</strong> - downloading a lecutre video<br /><strong>Video.Error</strong> - error while watching a video<br /><strong>Video.Load</strong> - loading a lecture video<br /><strong>Video.Pause</strong> - pausing a video<br /><strong>Video.Play</strong> - playing a video<br /><strong>Video.Seek</strong> - seeking a certain part of a video<br /><strong>Video.SpeedChange</strong> - changing the speed of the video<br /><strong>Video.Stalled</strong> - a video stoped unexpectedly</p>",
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    {
      "name": "Description",
      "content": "<p>Explore if certain patterns and actions (or sequences of actions) between first and last submissions to an assignment are predictors of grade improvement</p>\r\n<h2>Acknowledgements</h2>\r\n<p>Thanks to EPFL CEDE group for providing the content.</p>",
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      "name": "Evaluation",
      "content": "<p>The root-mean-square deviation (<strong>RMSD</strong>) or root-mean-square error (<strong>RMSE</strong>) is a frequently used measure of the differences between values (sample and population values) predicted by a model or an estimator and the values actually observed. The RMSD represents the sample standard deviation of the differences between predicted values and observed values. These individual differences are called residuals when the calculations are performed over the data sample that was used for estimation, and are called prediction errors when computed out-of-sample. The RMSD serves to aggregate the magnitudes of the errors in predictions for various times into a single measure of predictive power. RMSD is a good measure of accuracy, but only to compare forecasting errors of different models for a particular variable and not between variables, as it is scale-dependent.</p>\r\n<p>https://en.wikipedia.org/wiki/Root-mean-square_deviation</p>\r\n<h2>Submission Format</h2>\r\n<p>For <strong>each student, each problem</strong> (except for the first problems with only one submission by student), your submission file should include two columns: <strong>uniqRowID</strong> and <strong>overalGradeDiff</strong>.</p>\r\n<p><strong>uniqRowID</strong>: a unique identifier string with the following format: UserID_ProblemID<br /><strong>overalGradeDiff</strong>: a double value indicating difference between last and first grade to the problem (last - first)</p>\r\n<pre>uniqRowID, overalGradeDiff<br />000143a7618ac9cae91b0bf7d059c1fd_4, 40.289709<br />000143a7618ac9cae91b0bf7d059c1fd_5, 62.974068<br />000143a7618ac9cae91b0bf7d059c1fd_6, 40.289709<br />000143a7618ac9cae91b0bf7d059c1fd_7, 40.289709<br />0019bbc70f71e4620273237a1e99bfde_1, 1.818497<br />0019bbc70f71e4620273237a1e99bfde_11, 60.094022<br />&gt; </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 100 entries per day.</p>\r\n    <p>You may select up to 100 final submissions for judging.</p>\r\n    <h3>Competition Timeline</h3>\r\n    <p>Start Date: <strong>11/29/2016 10:43 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>1/31/2017 11:59 PM UTC</strong></p>\r\n\t<!-- End Base Rules -->\r\n",
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