{
  "fetched_at": "2026-10-20T04:48:31Z",
  "source_url": "https://www.kaggle.com/competitions/deepflow-internal-hackathon-2/data",
  "pages": [
    {
      "name": "data-description",
      "content": "##Files\ntrain.csv - the training set\ntest(2).csv - the test set\nsampleSubmission.csv - a sample submission file in the correct format\n##Features\nTrain\n**chain_id** - ID of retailer\n**format** - the format of the media campaign\n**start_date** - the start date of the media campaign\n**end_date**- the end date of the media campaign\n**device** - The device on which the campaign was done\n**height** - height of the campaign ad\n**width** - width of the campaign ad\n**start_week_day**\n**end_week_day**\n**shop** - the shop on which the campaign is being\n**budget** - the budget of each campaign\n##Prediction\nSame features as the train set except for the label (budget)",
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      "name": "Description",
      "content": "##Scope\nKnowing how much a media campaign might costs is a needed insight for marketing teams in all industry fields. It can helps them make strategic decisions on how and where they should invest their budgets and that can give them a competitive edge in the market.\n\nIn this challenge, you will use the campaign Dataset provided to create a tool that can accurately predict the budget respective to each campaign ID.\n\n##Objectives\nThe goal of this challenge is to be able to predict the budget invested in several media campaigns.\nWe have collected some data that should be processed and used to predict the budget through machine learning algorithm.\n",
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    {
      "name": "Evaluation",
      "content": "##Submission Format\nA CSV file that contains the following schema:\n\ncampaign_id\nbudget for every campaign_id in the prediction set\n##Metric\nSubmissions are evaluated on Root-Mean-Squared-Error (RMSE) between the the predicted value and the observed budget.",
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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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