{
  "fetched_at": "2026-10-19T19:38:51Z",
  "source_url": "https://www.kaggle.com/competitions/2023-machine-learning-challenge/data",
  "pages": [
    {
      "name": "data-description",
      "content": "There are three CSV files. In the train.csv file, 'spend' is the target variable containing data on amount of dollars spent by a customer in a shopping mall. Each customer is uniquely identified by 'Id' column in the train.csv and test.csv files. A sample submission file named 'submission.csv' is also provided for reference. This CSV file should contain only two columns - Id and Expected.\n\n## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **submission.csv** - a sample submission file in the correct format\n\n",
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    {
      "name": "Description",
      "content": "This machine learning data challenge involves regression task. The target variable is 'spend' in dollars by a customer at a shopping mall. There are 131 independent variables that may have an impact on the target variable 'spend'. First variable 'Id' identifies each customer uniquely in the shopping mall. \n\nThe challenge is to correctly predict value for 'spend' based on independent variables.",
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    {
      "name": "rules",
      "content": "Rules:\n\n - Explore different machine learning models!\n - Apply yourself!\n - Have fun!",
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