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  "fetched_at": "2026-10-24T06:52:05Z",
  "source_url": "https://www.kaggle.com/competitions/bee2/data",
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      "name": "Description",
      "content": "<p>Ipython Notebook RF benchmark:</p>\r\n<p><a href=\"http://nbviewer.jupyter.org/urls/dl.dropbox.com/s/xmad55lbqrpcn4y/beeline-rf-benchmark.ipynb\">Link</a></p>\r\n<p>Ipython Notebook linear benchmark:</p>\r\n<p><a href=\"http://nbviewer.jupyter.org/urls/dl.dropbox.com/s/z3bt4146h0i04iu/beeline-lin-benchmark.ipynb\">Link</a></p>\r\n<p>Your goal is to predict the probability that a certain label is attached to a budget line item. Each row in the budget has mostly free-form text features, except for the two below that are noted as float. Any of the fields may or may not be empty.</p>\r\n<h2>Features</h2>\r\n<ul>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>FTE float</strong> - If an employee, the percentage of full-time that the employee works.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Facility_or_Department</strong> - If expenditure is tied to a department/facility, that department/facility.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Function_Description</strong> - A description of the function the expenditure was serving.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Fund_Description</strong> - A description of the source of the funds.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Job_Title_Description</strong> - If this is an employee, a description of that employee's job title.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Location_Description</strong> - A description of where the funds were spent.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Object_Description</strong> - A description of what the funds were used for.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Position_Extra</strong> - Any extra information about the position that we have.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Program_Description</strong> - A description of the program that the funds were used for.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>SubFund_Description</strong> - More detail on Fund_Description</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Sub_Object_Description</strong> - More detail on Object_Description</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Text_1</strong> - Any additional text supplied by the district.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Text_2</strong> - Any additional text supplied by the district.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Text_3</strong> - Any additional text supplied by the district.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Text_4</strong> - Any additional text supplied by the district.</span></li>\r\n<li><span style=\"font-size: 1em; line-height: 1.5em;\"><strong>Total float</strong> - The total cost of the expenditure.</span></li>\r\n</ul>\r\n<h2>Acknowledgements</h2>\r\n<p>We thank Stanislav Semenov for this competition</p>",
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      "content": "<h2>Metric</h2>\r\n<p>The metric is <a href=\"https://www.kaggle.com/wiki/RootMeanSquaredError\">Root Mean Squared Error</a></p>\r\n<h2>Submission Format</h2>\r\n<p><strong>Your goal is to predict a probability for each possible label</strong> in the dataset given a row of new data. Each of these probabilities goes in a separate column in the submission file. The submission must be <strong>100000x104</strong> where <strong>100000</strong> is the number of rows in the test dataset (excluding the header) and <strong>104</strong> is the number of columns (excluding a first column of row ids). The columns in the submission have the format <strong>ColumnName__PossibleLabel</strong>, which we have listed below for your convenience. This is simply a flattening of the labels that we listed above.</p>\r\n<pre>ID<br />Function__Aides Compensation<br />Function__Career &amp; Academic Counseling<br />Function__Communications<br />Function__Curriculum Development<br />Function__Data Processing &amp; Information Services<br />Function__Development &amp; Fundraising<br />Function__Enrichment<br />Function__Extended Time &amp; Tutoring<br />Function__Facilities &amp; Maintenance<br />Function__Facilities Planning<br />Function__Finance, Budget, Purchasing &amp; Distribution<br />Function__Food Services<br />Function__Governance<br />Function__Human Resources<br />Function__Instructional Materials &amp; Supplies<br />Function__Insurance<br />Function__Legal<br />Function__Library &amp; Media<br />Function__NO_LABEL<br />Function__Other Compensation<br />Function__Other Non-Compensation<br />Function__Parent &amp; Community Relations<br />Function__Physical Health &amp; Services<br />Function__Professional Development<br />Function__Recruitment<br />Function__Research &amp; Accountability<br />Function__School Administration<br />Function__School Supervision<br />Function__Security &amp; Safety<br />Function__Social &amp; Emotional<br />Function__Special Population Program Management &amp; Support<br />Function__Student Assignment<br />Function__Student Transportation<br />Function__Substitute Compensation<br />Function__Teacher Compensation<br />Function__Untracked Budget Set-Aside<br />Function__Utilities<br />Object_Type__Base Salary/Compensation<br />Object_Type__Benefits<br />Object_Type__Contracted Services<br />Object_Type__Equipment &amp; Equipment Lease<br />Object_Type__NO_LABEL<br />Object_Type__Other Compensation/Stipend<br />Object_Type__Other Non-Compensation<br />Object_Type__Rent/Utilities<br />Object_Type__Substitute Compensation<br />Object_Type__Supplies/Materials<br />Object_Type__Travel &amp; Conferences<br />Operating_Status__Non-Operating<br />Operating_Status__Operating, Not PreK-12<br />Operating_Status__PreK-12 Operating<br />Position_Type__(Exec) Director<br />Position_Type__Area Officers<br />Position_Type__Club Advisor/Coach<br />Position_Type__Coordinator/Manager<br />Position_Type__Custodian<br />Position_Type__Guidance Counselor<br />Position_Type__Instructional Coach<br />Position_Type__Librarian<br />Position_Type__NO_LABEL<br />Position_Type__Non-Position<br />Position_Type__Nurse<br />Position_Type__Nurse Aide<br />Position_Type__Occupational Therapist<br />Position_Type__Other<br />Position_Type__Physical Therapist<br />Position_Type__Principal<br />Position_Type__Psychologist<br />Position_Type__School Monitor/Security<br />Position_Type__Sec/Clerk/Other Admin<br />Position_Type__Social Worker<br />Position_Type__Speech Therapist<br />Position_Type__Substitute<br />Position_Type__TA<br />Position_Type__Teacher<br />Position_Type__Vice Principal<br />Pre_K__NO_LABEL<br />Pre_K__Non PreK<br />Pre_K__PreK<br />Reporting__NO_LABEL<br />Reporting__Non-School<br />Reporting__School<br />Sharing__Leadership &amp; Management<br />Sharing__NO_LABEL<br />Sharing__School Reported<br />Sharing__School on Central Budgets<br />Sharing__Shared Services<br />Student_Type__Alternative<br />Student_Type__At Risk<br />Student_Type__ELL<br />Student_Type__Gifted<br />Student_Type__NO_LABEL<br />Student_Type__Poverty<br />Student_Type__PreK<br />Student_Type__Special Education<br />Student_Type__Unspecified<br />Use__Business Services<br />Use__ISPD<br />Use__Instruction<br />Use__Leadership<br />Use__NO_LABEL<br />Use__O&amp;M<br />Use__Pupil Services &amp; Enrichment<br />Use__Untracked Budget Set-Aside</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>The maximum size of a team is 1 participant.</p>\r\n    <h3>Submission Limits</h3>\r\n    <p>You may submit a maximum of 5 entries per day.</p>\r\n    <p>You may select up to 2 final submissions for judging.</p>\r\n    <h3>Competition Timeline</h3>\r\n    <p>Start Date: <strong>1/25/2016 6:36 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>4/4/2016 11:59 PM UTC</strong></p>\r\n\t<!-- End Base Rules -->\r\n<p>You can use any of Machine Learning algorithm.</p>",
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