{
  "fetched_at": "2026-10-19T15:18:28Z",
  "source_url": "https://www.kaggle.com/competitions/flare-classification/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<h2> Data Description </h2>\n<p> Each row of x_train (and x_test) represents flares for 1 hour and y_train represents if there is any flare in next 30 minutes. </p>\n<p> x-val and corresponding y_val is also provided to check the performance of the model. </p>\n",
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      "postTitle": "",
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    {
      "name": "Description",
      "content": "<h2>Goal</h2>\n<p> The goal of this competition is to predict if there is any flare in next 30 minutes. </p>\n<p> Have fun :) </p>",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is <a href=\"https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html\">Macro F1-Score</a>.\n</p>\n<h2>Submission Format</h2>\n<p>Submissions to the Kaggle leaderboard must take a specific form. Submissions should be a csv with two columns, \"ID\" and \"Prediction\" and 55822 rows corresponding to the test observations. Including the header row, there will be 55823 rows in the submission file. The \"ID\" is a unique numeric identifier from \"1\", \"2\", ... to \"55822\". The \"Prediction\" is your predicted flux for the test set.</p>",
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    {
      "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!",
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      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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}