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  "source_url": "https://www.kaggle.com/competitions/cs6601ai-fall19-assign4-bonus/data",
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      "name": "rules",
      "content": "<p>One account per participant. You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\n\n<h2>No private sharing outside teams</h2>\n<p>Privately sharing code or data or parameters outside of teams is not permitted.</p>\n\n<h2>Team Mergers</h2>\n<p>Team mergers are not allowed in this competition.</p>\n\n<h2>Team Limits</h2>\n<p>There are no teams allowed.</p>\n\n<h2>Submission Limits</h2>\n<p>You may submit a maximum of <strong>3</strong> entries per day.</p>\n\n<h2>Competition Timeline</h2>\n<ul>\n<li><strong>Start Date:</strong> October 20, 2019</li>\n<li><strong>Merger Deadline:</strong> None</li>\n<li><strong>Entry Deadline:</strong> None</li>\n<li><strong>End Date:</strong> 11:59 PM (AOE) on November 3, 2019</li>\n<ul/>",
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      "content": "<p>Download the given files in your Assignment 4 folder.</p>\n\n<p>Please download the files as .zip files and the extract the csv files from them.</p>\n\n<ul>\n<li>The <strong>kaggle_train_2019_fall.csv</strong> file contains the given instances for training your binary classifier. First column as class, and the rest as features</li>\n<li>The <strong>kaggle_test_2019_fall_unlabelled.csv</strong> file contains the test set with no class labels</li>\n<li>The <strong>generate_kaggle_submission.py</strong> file needs to be run to train your Challenge classifier on the given training data and generate a <strong>kaggle_result.csv</strong> file to be uploaded to the Kaggle competition.</li>\n</ul>",
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      "name": "Description",
      "content": "<p>This is a competition for bonus points on Assignment 4 for the CS 6601 Fall 2019 Artificial Intelligence Class at Georgia Tech.</p>\n\n<p>You need to generate the labels for the test dataset by using the training dataset and by using only classifier(s) composed of Random Forests or Decision trees. The file <strong>generate_kaggle_submission.py</strong> does the task of calling your Challenge Classifier and generating an output file <strong>kaggle_result.csv</strong> to upload to Kaggle for this competition.</p>\n\n<h2>Bonus Points Metric:</h2>\n<p>All bonus points will be added to your Assignment 4 grades.</p>\n<p>First place: 15 bonus points</p>\n<p>Second place: 12 bonus points</p>\n<p>Third place: 10 bonus points</p>\n<p>Everyone else who achieves an accuracy of more than 90%: 7 bonus points</p>",
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