{
  "fetched_at": "2026-10-20T07:32:07Z",
  "source_url": "https://www.kaggle.com/competitions/epitope/data",
  "pages": [
    {
      "name": "data-description",
      "content": "  This page contain datasets, following is brief description of files.\n\nFiles train.csv : Contain training dataset test.csv : Contain test dataset sample.csv : a sample submission file in the correct format  ",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "In this competition, one has to classify peptides. This is a binary class classification competition where positive peptides are epitopes and negative peptides are non-epitopes. \n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": " In this competition, 70% data is used for public leaderboard and 30% data for private leaderboard. On submission, students will be able to see performance on public leaderboard. Private leaderboard will be visible once competition is over. The performance of submission will be evaluated in term of AUC (ROC). Please try to avoid over optimisation. ",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "Student need to follow ethics, submissions at this site will be compared with output of software.\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}