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  "fetched_at": "2026-10-19T18:54:34Z",
  "source_url": "https://www.kaggle.com/competitions/cs6601ai-spring20-assign4-bonus/data",
  "pages": [
    {
      "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 3 entries per day.</p>\n\n<h2>Competition Timeline</h2>\n<p>Start Date: March 8, 2020</p>\n<p>Merger Deadline: None</p>\n<p>Entry Deadline: None</p>\n<p>End Date: 11:59 PM (AOE) on March 22, 2020</p>",
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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*The **kaggle_train_2020_spring.csv** file contains the given instances for training your binary classifier. First column as class, and the rest as features\n*The **kaggle_test_2020_spring_unlabelled.csv** file contains the test set with no class labels\n*The **generate_kaggle_submission.py** file needs to be run to train your Challenge classifier on the given training data and generate a kaggle_result.csv file to be uploaded to the Kaggle competition.",
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      "name": "Description",
      "content": "<p>This is a competition for bonus points on Assignment 4 for the CS 6601 Spring 2020 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 generate_kaggle_submission.py does the task of calling your Challenge Classifier and generating an output file kaggle_result.csv to upload to Kaggle for this competition.</p>\n\n<h2>Bonus Points Metric:</h2>\n\n<p>All bonus points will be added to your Assignment 4 grades.</p>\n\n<p>First place: 15 bonus points</p>\n\n<p>Second place: 12 bonus points</p>\n\n<p>Third place: 10 bonus points</p>\n\n<p>Everyone else who achieves an accuracy of more than 90%: 7 bonus points</p>",
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