{
  "fetched_at": "2026-10-19T10:28:07Z",
  "source_url": "https://www.kaggle.com/competitions/Ferralytics/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This dataset relates to the flotation process used to concentrate iron ore in a mining plant. The target is to predict : the percentage of silica .\n\n\n## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format\n*   **metaData.csv** - supplemental information about the data\n\n## Columns\n\n*   `example_id` - definition of example_id\n*   `feature_1` - definition of feature_1\n*   etc.",
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    {
      "name": "Description",
      "content": "**Problem Statement**\n1) Prepare a csv file to predict the silica concentration from the given parameters",
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    {
      "name": "Evaluation",
      "content": "In this competition, the evaluation metric is the **accuracy score**, which measures the proportion of correct predictions made by the model compared to the total predictions. This metric is useful for assessing the model's performance in accurately predicting the percentage of iron in the final product, with higher accuracy indicating better predictive capability..",
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    {
      "name": "rules",
      "content": "Follow competition rules, instructions, and deadlines strictly\n\nSubmit your own work; avoid plagiarism and unauthorized data use!\nApply yourself!\nHave fun!",
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      "hasIsPublished": false,
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    },
    {
      "name": "abstract",
      "content": "In this competition, participants must predict the **percentage of Silica** in the final product of a flotation plant used to concentrate iron ore. The goal is to develop a model that forecasts iron concentration based on operational data, enabling real-time decision-making. Accurate predictions help engineers optimize the process, reducing the wait for lab results that take over an hour. Participants will use features like iron feed percentage, reagent flows, and pulp characteristics to create their models. This challenge focuses on improving operational efficiency in mining plants through predictive modeling.",
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    }
  ]
}