{
  "fetched_at": "2026-10-20T00:35:54Z",
  "source_url": "https://www.kaggle.com/competitions/cs98x-22-dl-task2/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The training and test sets are provided below.",
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      "name": "Description",
      "content": "The data includes academic and personal characteristics of the students as well as final grades. The objective is to predict the final grade from the student information which makes this a supervised classification task.\n\nMore information about the data can be found at:\nhttps://archive.ics.uci.edu/ml/datasets/student+performance\nNOTE: The coursework will use a different datasets but with very similar attributes to the above.",
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    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is [Mean F1-Score](https://en.wikipedia.org/wiki/F-score). \n\nThe F1 metric weights recall and precision equally, and a good retrieval algorithm will maximize both precision and recall simultaneously. Thus, moderately good performance on both will be favored over extremely good performance on one and poor performance on the other.\n\n## Submission Format\n\nFor every document, the submission files should contain two columns: id, and grade, where the grade is the student grade. See sample submission in the data section. ",
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