{
  "fetched_at": "2026-10-24T10:15:34Z",
  "source_url": "https://www.kaggle.com/competitions/clu/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<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\n</ul>\n<h2>Data fields</h2>\n<ul>\n<li>sku -sku code\n<li>national_inv- Current inventory level of component\n<li>lead_time -Transit time\n<li>in_transit_qtry - Quantity in transit\n<li>forecast_x_month - Forecast sales for the net 3, 6, 9 months\n<li>sales_x_month - Sales quantity for the prior 1, 3, 6, 9 months\n<li>min_bank - Minimum recommended amount in stock\n<li>potential_issue - Indictor variable noting potential issue with item\n<li>pieces_past_due - Parts overdue from source\n<li>perf_x_months_avg - Source performance in the last 6 and 12 months\n<li>local_bo_qty - Amount of stock orders overdue\n<li>X17-X22 - General Risk Flags\n<li>went_on_back_order - Product went on backorder\n<li>Validation - indicator variable for training (0), validation (1), and test set (2)\n</ul>",
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    {
      "name": "Description",
      "content": "Material backorder is a common supply chain problem, impacting an inventory system service level and effectiveness. Identifying parts with the highest chances of shortage prior its occurrence can present a high opportunity to improve an overall company’s performance. In this competition, you will train classifiers to predict future backordered products and generate predictions for a test set. ",
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    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is AUC (area under the curve). The AUC (Area Under Curve) is the area enclosed by the ROC curve. A perfect classifier has AUC = 1 and a completely random classifier has AUC = 0.5. Usually, your model will score somewhere in between.\nSubmission Format\n\nFor every sku in the dataset, submission files should contain two columns: sku and went_on_backorder.\n\nThe file should contain a header and have the following format:\n\n```\nsku, went_on_backorder\n1112168, 1\n```",
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    {
      "name": "rules",
      "content": "\n - Apply yourself!\n - Have fun!",
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