{
  "fetched_at": "2026-10-19T23:14:47Z",
  "source_url": "https://www.kaggle.com/competitions/anova-01/data",
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    {
      "name": "data-description",
      "content": "# **Data Set Information:**\nThis radar data was collected by a system in Goose Bay, Labrador. This system consists of a phased array of 16 high-frequency antennas with a total transmitted power on the order of 6.4 kilowatts. See the paper for more details. The targets were free electrons in the ionosphere. \"Good\" radar returns are those showing evidence of some type of structure in the ionosphere. \"Bad\" returns are those that do not; their signals pass through the ionosphere.\n\nReceived signals were processed using an autocorrelation function whose arguments are the time of a pulse and the pulse number. There were 17 pulse numbers for the Goose Bay system. Instances in this database are described by two attributes per pulse number, corresponding to the complex values returned by the function resulting from the complex electromagnetic signal.",
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    {
      "name": "Description",
      "content": "Dear learner, welcome to **# ANOVA 0.1 **challenge\nIn this competition, you will be dealing with a classification problem for the given dataset.\n\n**### Rules:**\n- Join the competition when it opens\n- Get the dataset and submission templates\n- Train your models on train set and predict on test set\n- Submit the submission file in the Kaggle competition page\n- Upload the final submission file and code in the specific format",
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    {
      "name": "Evaluation",
      "content": "**Goal:**\nIt is your job to predict if an Action \"allow\", \"deny\", \"drop\",  or \"reset-both\" \nthe sinking of the Ionosphere Data Set.\nFor each in the test set, you must predict a 0, 1, 2, or 3  value for the variable.\n**Metric**\nYour score is the percentage of Action you correctly predict. This is known as accuracy.\n\n**Submission File Format**\nYou should submit a CSV file with exactly 418 entries plus a header row. Your submission will show an error if you have extra columns or rows.\n\nThe file should have exactly 2 columns:\nId (sorted in any order)\nAction (contains your predictions: 0, 1, 2, or 3 value )",
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    {
      "name": "rules",
      "content": "**# One account per participant**\nYou cannot sign up to Kaggle from multiple accounts, and therefore, you cannot submit from multiple accounts.\n\n**# Submission Limits**\nYou may submit a maximum of 3 entries per day.\n\nYou may select 1 final submission for judging.\n\n### **Competition Deadline**\n10 am 11-June-2022\n\n# **COMPETITION-SPECIFIC RULES**\n- AutoML is not allowed\n\n",
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