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  "fetched_at": "2026-10-19T23:43:12Z",
  "source_url": "https://www.kaggle.com/competitions/diamonds-ds-ft-2109/data",
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    {
      "name": "data-description",
      "content": "### Data\nIn this section you will find data needed to train your model and a detailed description of it.\n\n### Files\n- `diamonds_train.csv`: training set\n- `diamond_test.csv`: use it **ONLY** to make the prediction\n- `sample_submission.csv`: sample submission\n\n### Features\n- **id**: only for test & sample submission files, id for prediction sample identification\n- **price**: price in USD\n- **carat**: weight of the diamond\n- **cut**: quality of the cut (Fair, Good, Very Good, Premium, Ideal)\n- **color**: diamond colour, from J (worst) to D (best)\n- **clarity**: a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))\n- **x**: length in mm\n- **y**: width in mm\n- **z**: depth in mm\n- **depth**: total depth percentage = `z / mean(x, y) = 2 * z / (x + y) (43--79)`\n- **table**: width of top of diamond relative to widest point (43--95)",
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    {
      "name": "Description",
      "content": "> The goal of this competition is the prediction of the price of diamonds based on their characteristics (weight, color, quality of cut, etc.), putting into practice all the machine learning techniques you know.\n\n![intro](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3824396%2Fbeaf52135483332c90a86b157e178715%2Fimage%20(12).png?generation=1588785521255575&alt=media)",
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      "name": "Evaluation",
      "content": "### Evaluation\nThe evaluation metric chosen for this competition is the [RMSE](https://en.wikipedia.org/wiki/Root-mean-square_deviation) (Root Mean Squared Error):\n\n### Submit results\n- Submissions are limited to 20 times a day.\n- The test set is divided into a public part (with which the public leaderboard is calculated, accessible during the competition) and another private part, with which the final positions are calculated, after the end of the competition.\n- Predictions will be sent in the format indicated in the `sample_submission.csv` file in the data section.\n\n![diamond2](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3824396%2Ff6235a3402992f0fc94af9e0ca3465c2%2Finbox_3824396_4554b5824665256889dafdd5c4c59890_Bbf0GWk.jpg?generation=1588773703548655&alt=media)",
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    {
      "name": "rules",
      "content": "- **Don't cheat!**\n- Apply yourself!\n- Have fun!\n\nRemember to upload your notebook to `Code`, with your main work for the competition once it's closed. Otherwise your submission won't be valid. \n\n![](https://media.giphy.com/media/V3EzwwOqPGpmE/giphy.gif)\n",
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