{
  "fetched_at": "2026-10-20T00:19:31Z",
  "source_url": "https://www.kaggle.com/competitions/cost-prediction-for-logistic-company-ml/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</ul>\n<h2>Data fields</h2>\n<ul>\n<li><strong>trip</strong> - Trip id</li>\n<li><strong>date</strong> - Date, when trip was made</li>\n<li><strong>dayPart</strong> - Day or Night</li>\n<li><strong>exWeatherTag</strong> - Heat / Snow</li>\n<li><strong>originLocation</strong> - Source location</li>\n<li><strong>destinationLocation</strong> - Destination location</li>\n<li><strong>distance</strong> - distance traveled</li>\n<li><strong>type</strong> - Expedited or Not</li>\n<li><strong>weight</strong> - weight carried by carriers</li>\n<li><strong>packageType</strong> - Type of packages</li>\n<li><strong>carrier</strong> -  Name of the carriers</li>\n</ul>",
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    {
      "name": "Description",
      "content": "A logistics company is interested to optimize its delivery network. It has provided you a dateset of the network wide deliveries and associated trip costs. It has tasked you with building a model that predicts the cost of deliveries.\n\nDatasets\nTraining data –Training dataset contains 38999 observations. Actual responses (labels) are in the variable called ‘Cost’ Testing data – contains 802 observations with 11 variables and no labels\n\nEvaluation Metric : RMSE Score\n\n<p>The file should contain a header and have the following format:</p>\n<pre>trip,cost<br>t333282728025, 23.3433\n<br></pre>",
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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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