{
  "fetched_at": "2026-10-24T12:34:35Z",
  "source_url": "https://www.kaggle.com/competitions/boston-housing/data",
  "pages": [
    {
      "name": "Description",
      "content": "<h1>Housing Values in Suburbs of Boston</h1>\r\n<p>The <strong>medv</strong> variable is the target variable.</p>\r\n<h3>Data description</h3>\r\n<p>The Boston data frame has 506 rows and 14 columns.</p>\r\n<p>This data frame contains the following columns:</p>\r\n<p><strong><em>crim</em></strong><br />per capita crime rate by town.</p>\r\n<p><strong><em>zn</em></strong><br />proportion of residential land zoned for lots over 25,000 sq.ft.</p>\r\n<p><em><strong>indus</strong></em><br />proportion of non-retail business acres per town.</p>\r\n<p><em><strong>chas</strong></em><br />Charles River dummy variable (= 1 if tract bounds river; 0 otherwise).</p>\r\n<p><em><strong>nox</strong></em><br />nitrogen oxides concentration (parts per 10 million).</p>\r\n<p><em><strong>rm</strong></em><br />average number of rooms per dwelling.</p>\r\n<p><em><strong>age</strong></em><br />proportion of owner-occupied units built prior to 1940.</p>\r\n<p><em><strong>dis</strong></em><br />weighted mean of distances to five Boston employment centres.</p>\r\n<p><em><strong>rad</strong></em><br />index of accessibility to radial highways.</p>\r\n<p><em><strong>tax</strong></em><br />full-value property-tax rate per \\$10,000.</p>\r\n<p><em><strong>ptratio</strong></em><br />pupil-teacher ratio by town.</p>\r\n<p><em><strong>black</strong></em><br />1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town.</p>\r\n<p><em><strong>lstat</strong></em><br />lower status of the population (percent).</p>\r\n<p><em><strong>medv</strong></em><br />median value of owner-occupied homes in \\$1000s.</p>\r\n<h3>Source</h3>\r\n<p>Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102.</p>\r\n<p>Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.</p>",
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    {
      "name": "rules",
      "content": "\r\n\t<!-- Begin Base Rules -->\r\n    <h3>One account per participant</h3>\r\n    <p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\r\n    <h3>No private sharing outside teams</h3>\r\n    <p>\r\n        Privately sharing code or data outside of teams is not permitted.\r\n        It's okay to share code if made available to all participants on the forums.\r\n    </p>\r\n    <h3>Team Mergers</h3>\r\n    <p>Team mergers are not allowed in this competition.</p>\r\n\r\n    <h3>Team Limits</h3>\r\n    <p>There is no maximum team size.</p>\r\n    <h3>Submission Limits</h3>\r\n    <p>You may submit a maximum of 2 entries per day.</p>\r\n    <p>You may select up to 2 final submissions for judging.</p>\r\n    <h3>Competition Timeline</h3>\r\n    <p>Start Date: <strong>6/2/2016 5:50 PM UTC</strong></p>\r\n    <p>Merger Deadline: <strong>None</strong></p>\r\n    <p>Entry Deadline: <strong>None</strong></p>\r\n    <p>End Date: <strong>12/31/2016 11:59 PM UTC</strong></p>\r\n\t<!-- End Base Rules -->\r\n",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The scoring is based on the RMSE, that is</p>\r\n<p>$$RMSE(y) = \\sqrt{\\sum_{i=1}^n (y_i - \\hat{y}_i)^2}$$</p>",
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