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  "fetched_at": "2026-10-24T13:51:00Z",
  "source_url": "https://www.kaggle.com/competitions/dunnhumbychallenge/data",
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    {
      "name": "Description",
      "content": "<ul>\r\n<li>Going grocery shopping, we all have to do it, some even enjoy it, but can you predict it?</li>\r\n<li>Dunnhumby is looking to build a model to better predict when supermarket shoppers will next visit the store and how much they will spend.</li>\r\n<li>The modelling data set consists of details of every visit made by 100,000 customers over a year from April 2010 to March 31st 2011.</li>\r\n<li>Each visit is stamped with the date and the customer’s spend in that visit.</li>\r\n<li>We also have details of their next visit after March 31st.</li>\r\n<li>Your challenge is to predict the visit_date and visit_spend of this next visit for each customer_id in the modelling test set. For more details on how you're scored, click <a href=\"@Url.Page('Evaluation')\">here</a></li>\r\n</ul>",
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      "content": "<p>This data is no longer available for download.</p>",
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      "name": "Evaluation",
      "content": "<p>For each test customer in the dataset your Model needs to provide:</p>\r\n<p>a prediction of the first date on or after 1 April 2011 that the test customer will next go shopping</p>\r\n<p>AND</p>\r\n<p>a prediction of the test customer’s dollar spend on that shopping visit.</p>\r\n<p>The prediction will be classified as correct if the date AND the dollar spend is correct (a “<strong>Correct Visit</strong>”).</p>\r\n<p>Dollar spend will be deemed to be correct if it is within $10 of the actual spend, an under or over prediction of equal to or more than $10.01 being incorrect.</p>\r\n<p>For each test customer the Model can either be \"correct\" or \"incorrect\". There is no concept of accuracy for a Correct Visit i.e. prediction of dollar spend within $0.01 is no better than within $10.00</p>\r\n<p>The Winner of the Competition will be the Entry that predicts the highest number of Correct Visits. There will be prizes for 1<sup>st</sup> $6,000; 2<sup>nd</sup> $3,000 and 3<sup>rd</sup> $1,000.</p>\r\n<p>In the unlikely event of a tie, the award for the relevant winning places shall be combined and split equally between each Winner (e.g. if two Entries tie in  2<sup>nd</sup> place, $3,000 and $1,000 will be added together and each Winner will receive $2,000 each). In the even more unlikely unlikely event that more than three Contestants qualify as winners by virtue of predicting the same number of Correct Visits, time of entry shall be used as the secondary basis for determining a Winner (e.g. if two Models tie in 3<sup>rd</sup> place but one is entered on the tenth day of the Competition and the other is entered on the fifteenth day of the Competition, the former would take third place).</p>",
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