{
  "fetched_at": "2026-10-20T10:29:51Z",
  "source_url": "https://www.kaggle.com/competitions/bioproblem/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "data-description",
      "content": "Data is very simple!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "<p>This problem is called the Anti-Cancer Peptide Prediction problem. Here in the test set, you will note there are sequences given in fasta format. Each pair of lines indicate one peptide. The trailing 0/1 in the first line denotes the label and the next line denotes a protein sequence. Your task is to train a model using sequence based features and predict labels for the sequences in the test set. </p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
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    },
    {
      "name": "Evaluation",
      "content": "<p> The evaluation metric for this problem will be accuracy. In the submission file put predicted labels in each line. </p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}