{
  "fetched_at": "2026-10-20T10:15:11Z",
  "source_url": "https://www.kaggle.com/competitions/classificationcopy/data",
  "pages": [
    {
      "name": "data-description",
      "content": "You have two datasets. One for training, another one for testing. Training data have these columns:\n\n- `kidslt6`: kids at home under six\r\n- `age`: years old\r\n- `educ`: years of education\n- `huseduc`: husband years of education\r\n- `husage`: husband years old\n- `huswage` : husband wage in dollars\n- `motheduc`: mother years of education\n- `fatheduc`: father years of education\n- `inlf`:  1 = in labor force, 0 = not in labor force (target)\n\nThe goal is to properly predict whether a person is in labor force or not. Testing data don't include (of course) a target, you have to predict it.",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Description",
      "content": "The only thing you must know is that there are two datasets: train and test. Target is inlf. Accuracy is the metric.",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "Accuracy is the metric.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "Only some rules for you:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!\n\nRemember to upload a `.csv`  document with two columns: `id`, in which you will include values from 0 to `n`, and `Expected` has your predictions.",
      "isPublished": false,
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}