{
  "fetched_at": "2026-10-20T03:31:56Z",
  "source_url": "https://www.kaggle.com/competitions/dsc-psut-continued/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>data_description.txt</strong> - full description of each column, originally prepared by Dean De Cock but lightly edited to match the column names used here</li>\n<li><strong>sample_submission.csv</strong> - a benchmark submission from a linear regression on year and month of sale, lot square footage, and number of bedrooms</li>\n</ul>\n",
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    {
      "name": "Description",
      "content": "<h2> Competition Description </h2>\n<p>Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.</p>\n<p>With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.</p>\n<h2> Practice Skills </h2>\n<ul>\n<li><strong>data engineering </strong></li>\n<li><strong>feature engineering </strong></li>\n<li><strong>building machine learning models</strong></li>\n</ul>",
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    {
      "name": "Evaluation",
      "content": "<h2> Goal </h2>\n<p>It is your job to predict the sales price for each house. For each Id in the test set, you must predict the value of the SalePrice variable.</p>\n<h2> Metric </h2>\n<p>Submissions are evaluated on Root-Mean-Squared-Error (RMSE) between the logarithm of the predicted value and the logarithm of the observed sales price. (Taking logs means that errors in predicting expensive houses and cheap houses will affect the result equally.)</p>\n<h2>Submission Format</h2>\n<p>The file should contain a header and have the following format:</p>\n<pre>Id,SalePrice<br>1461,169000.1 <br>1462,187724.1233<br>1463,175221 <br></pre>\n<p>You can download an example submission file (sample_submission.csv) on the Data page.</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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