{
  "fetched_at": "2026-10-20T01:59:56Z",
  "source_url": "https://www.kaggle.com/competitions/csci-ml-s19-pa1/data",
  "pages": [
    {
      "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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      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>baby-weights-dataset2.csv</strong> - the given dataset (labeled)</li>\n<li><strong>data-description2.txt</strong> - data description file</li>\n<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\n</ul>\n<h2>Data fields</h2>\nPlease read data-description.txt carefully.",
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      "name": "Description",
      "content": "# Description\nI am quoting from the WebMD article:\n“A new baby's gender, name, time of birth, and birth weight are nice information for a birth announcement, but birth weight is especially important for an obstetrician. A large size at delivery has long been associated with an increased risk of injuries to a newborn and its mom. So the better a doctor can predict birth weight, the easier the delivery may be.”\n\nUltrasound is a popular way of doing it. But, aha! You are a Data Scientist (or going to be one). You can amaze people by predicting the birth weight way earlier than ultrasound, right? In this assignment, let’s do this.\n",
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    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is [RMSE](\"https://www.statisticshowto.datasciencecentral.com/rmse/), Root Mean Square Error. \n\nRMSE is defined as: \n<p>\\[ RMSE = \\sqrt{MSE} = \\sqrt{\\dfrac{1}{N}\\sum_{i=1}^N\\left(y_i-h_w(x_i)\\right)^2} \\]</p>\nwhere, there are N samples, y<sub>i</sub> is the true/known target label for the i<sup>th</sup> sample, and h<sub>w</sub>(x<sub>i</sub>) is the predicted target for the input sample x<sub>i</sub>.\n<hr />\n\n\n\n<h2>Submission Format</h2>\n<p><strong>For every author in the dataset</strong>, submission files should contain two columns: ID and BWEIGHT. </p>\n<p>The file should contain a header and have the following format:</p>\n<pre>ID,BWEIGHT<br />2001,6.8125<br /><span style=\"font-size: 14px; line-height: 1.4em;\">2002,7.25<br />2003,6.9375<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">2004,7.375<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">etc.</span></pre>",
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