{
  "fetched_at": "2026-10-23T03:24:48Z",
  "source_url": "https://www.kaggle.com/competitions/copywage/data",
  "pages": [
    {
      "name": "data-description",
      "content": "You can find a dataset description below. Download training set, train your best model (mean squared error is the metric) and test it in test set. Upload a csv document with only one column with prediction results.\n\n## Files\n\n*   **data_wage_train.csv** - the training set\n*   **data_test.csv** - the test set\n\n## Columns\n\n*   `educ` - years of education\n*   `feature_1` - years of experience\n*   `married` - 1 = married, 0 = single\n*   `female` - 1 = woman, 0 = man\n*    `tenure` - years in current job\n*    `wage`  - wage in avg. dollars per hour ",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
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    },
    {
      "name": "Description",
      "content": "This is a small competition to test your knowledge.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
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    },
    {
      "name": "Evaluation",
      "content": "The evaluation is going to be made on `mean_squared_error`, keep that in mind while training.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "These are the rules:\n\nDownload training dataset. \nTrain your best model\nPredict using test dataset.\nUpload a csv file with ONLY two columns: id column (from 0 to 106) and Expected column (predictions). Remember not to shuffle test dataset.\n\nYou could try to cheat, but this platform helps to realize when you're cheating, so better not to do that.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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    }
  ]
}